Abstract
Background
Alcohol is a leading risk factor contributing to the global burden of disease. Several national and international agencies recommend that screening and brief interventions (SBI) should be routinely delivered in primary care settings to reducing patients’ alcohol consumption. However, evidence shows that such activities are seldom implemented in practice. A review of the barriers and facilitators mediating implementation, and how they fit with theoretical understandings of behaviour change, to inform the design of implementation interventions is lacking. This study aimed to conduct a theory-informed review of the factors influencing general practitioners’ and primary care nurses’ routine delivery of alcohol SBI in adults.
Methods
A systematic literature search was carried out in four electronic databases (Medline, CINAHL, CENTRAL, PsycINFO) using comprehensive search strategies. Both qualitative and quantitative studies were included. Two authors independently abstracted and thematically grouped the data extracted. The barriers and facilitators identified were mapped to the domains of the Capability-Opportunity-Motivation-Behaviour system/Theoretical Domains Framework (TDF).
Results
Eighty-four out of the 258 studies identified met the selection criteria. The majority of the studies reported data on the views of general practitioners (n = 60) and used a quantitative design (n = 49). A total of 660 data items pertaining to barriers and 253 data items pertaining to facilitators were extracted and thematically grouped into 46 themes. The themes mapped to at least one of the 14 domains of the TDF. The three TDF domains with the highest number of data units coded were ‘Environmental Context and Resources’ (n = 158, e.g. lack of time), ‘Beliefs about Capabilities’ (n = 134, e.g. beliefs about the ability to deliver screening and brief advice and in helping patients to cut down) and ‘Skills’ (n = 99, e.g. lack of training).
Conclusions
This study identified a range of potential barriers and facilitators to the implementation of alcohol SBI delivery in primary care and adds to the scarce body of literature that identifies the barriers and facilitators from a theoretical perspective. Given that alcohol SBI is seldom implemented, this review provides researchers with a tool for designing novel theory-oriented interventions to support the implementation of such activity.
Systematic review registration
PROSPERO CRD42016052681
Supplementary Information
The online version contains supplementary material available at 10.1186/s13012-020-01073-0.
Keywords: Alcohol-induced disorders, Screening, Counselling, Primary health care, Review (publication type), Psychological theory
Contributions to the literature.
• Literature shows that the routine delivery of alcohol screening and brief interventions in primary health care has been hampered by barriers to implementation. Most implementation programmes in practice and research have lacked a theoretical rationale for how they would address these barriers.
• Our review is the first to analyse these barriers from a behavioural change point of view.
• Our review contributes to a better understanding of the barriers to implementation of alcohol screening and brief intervention in primary health care and provides researchers with a rationale for selecting the most promising actions to overcoming these barriers.
Introduction
Alcohol misuse is a major risk factor for ill health and death [1], accountable for 5.3% of all deaths worldwide and 5.1% of the global burden of disease and injury [2]. The economic impact of alcohol use and related harm alone can reach as much as 3.3% of the Gross Domestic Product [3]. Even small reductions in alcohol intake can bring about significant health gains [4]. For example, a reduction in the daily average consumption of pure alcohol from 40 to 30 grammes (from 4 to 3 standard drinks) is associated with a 48% decrease in the risk of oral cancer, and a decrease in the risk of hypertension of 13% in men and 66% in women. The World Health Organization recommends the implementation of several high-impact strategies to change drinking behaviour, including the provision of alcohol screening and brief interventions (SBI) in primary health care settings [5].
In the past four decades, randomized controlled trials and meta-analyses have found alcohol SBI in primary care settings to be effective and cost-effective or cost-saving [6–13]. Alcohol increases the risk of several physical, mental and social conditions that present frequently in primary care [3, 4] and a significant proportion of patients visiting primary care drink least at a hazardous or higher level [14–16]. However, few at-risk drinkers are identified as such and counselled to cut down [17–23]. For example, a recent trial found that, prior to intervention, only 5.9% of the consulting patients were screened and, of the screen positives, 73.7% received advice [24]. Therefore, many at-risk drinkers leave their primary care appointment unaware of the risks of their alcohol consumption or how it might be contributing to current ill health. Notwithstanding recent debates questioning SBI effectiveness [25, 26], these represent missed opportunities to increase patients’ awareness of alcohol-related risks, a first step towards enabling them to make a more informed choice on whether or not to cut down [4].
Although there is a growing literature on barriers to and facilitators of the implementation of alcohol SBI in routine clinical practice, this information is scattered and provides an unclear representation of the factors affecting primary care providers’ systematic engagement with at-risk drinkers. A review by Johnson et al. identified the barriers to and facilitators of the delivery of screening and brief intervention for alcohol misuse [27] but prioritized studies judged to best inform UK practice and focused on several different healthcare settings. Lack of training, support from management and resources, as well as workload pressures were identified as the main barriers to implementation; whilst adequate resources, training and the identification of those at risk without stereotyping were the main facilitators. This review updates the Johnson et al. review, employs a more comprehensive search strategy and has an international focus.
Another gap in the evidence base is the lack of theoretical insights in this area [28]. Knowledge of how identified barriers and facilitators fit with the theoretical understandings of behaviour change can help in selecting the implementation interventions that have a higher chance of bringing about the desired change in practitioner behaviour. Our review is informed by the Capability-Opportunity-Motivation-Behaviour (COM-B) system [29] and Theoretical Domains Framework (TDF) [30] system in that the barriers and facilitators were mapped to the TDF domains which, in turn, fit with the COM-B system. The review aims to identify the theoretical concepts underpinning the barriers and facilitators to implementation. Our intention is to provide practical evidence for selecting the best strategies to increase the implementation of alcohol SBI in primary health care.
Objectives
to identify barriers to and facilitators of routine delivery of alcohol screening and brief interventions in adults by general practitioners (GPs) and primary care nurses;
to review how the identified barriers and facilitators fit with theoretical understandings of behaviour change using the COM-B system and TDF framework.
Methods
This review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement (see Additional file 1) [31]. The protocol was pre-registered on PROSPERO (CRD42016052681) and published elsewhere [32]. No amendments were introduced to the review protocol.
Information sources and searches
The following electronic databases were searched by KA, from onset of literature database until May 2016: MEDLINE, CINAHL, Cochrane Central Register of Controlled Trials (CENTRAL) and PsycINFO. The search combined terms for ‘Screening and Brief Interventions’, ‘Alcohol’ and ‘Primary Health Care’ (see Additional file 2).
Eligibility criteria and study selection
To be included, a study had to:
report primary data and be published in a peer-reviewed scientific journal;
use a Delphi methodology, focus group, in-depth interview or semi-structured interview design for qualitative studies, or a randomized controlled trial, before-after with no control group, cohort, case-control or cross-sectional design for quantitative studies;
address barriers and facilitators for implementing alcohol SBI reported by GPs or nurses working in primary care general practices (excluding out-of-hours practices or walk-in centres, full definition in protocol [32]);
be available in full-text copy in English, French, Portuguese or Spanish.
Two reviewers (FR, MIS) independently screened the search results for relevant titles and abstracts. Full-text copies of studies meeting inclusion criteria and of those with unclear eligibility were sought and the screening process repeated by the same two reviewers. Disagreements were discussed and resolved by consensus.
Data extraction and quality assessment
Data extraction was conducted independently by the two aforementioned reviewers and included the following: first author; publication year; title; country; language; study objective; study design; sample (sampling strategy, type and number of care providers, response/attrition rate); barriers and facilitators; main results; relation with outcomes or process variables in intervention studies.
The methodological quality of each study was independently assessed by two reviewers: half of the studies were appraised by FR and LP, the other half by FR and MIS. Disagreements were resolved through consensus. Quantitative studies were appraised with the NIH National Heart, Lung, and Blood Institute tools [33] and qualitative studies with the critical appraisal skills programme (CASP) qualitative research checklist [34]. The quality of the studies was further appraised as recommended by the Cochrane Collaboration Qualitative Methods Group [35]. Inclusion of studies was not influenced by methodological quality. The quality rating for each study was allocated in line with the guidance in the relevant tool.
Data synthesis
The data items extracted (i.e. barriers and facilitators, defined as factors that decrease (barriers) or increase (facilitators) the probability of the implementation of the intervention by general practitioners/family physicians or nurses working in primary care practices) were independently extracted by two reviewers (FR, MIS) into a Microsoft Excel sheet. Next, data were grouped thematically: the aforementioned reviewers read and re-read the data items, grouping similar/related items into iteratively developed themes. Each theme was analysed and mapped to the capability, opportunity and motivation components of the COM-B system and the 14 TDF domains, all of which fell into one of these three components. To ensure the theme mapped to the TDF domain, we further checked that the extracted data within each theme fitted with the domain content (i.e. the component constructs in each TDF domain); to remain mapped to the TDF domain, themes had to have at least one data item linked to a component construct. TDF domains were mapped to COM-B components as defined by Cane and colleagues [30]. Disagreements between the reviewers were resolved through consensus. The results are tabulated and a narrative synthesis of the findings is provided, structured around the themes of barriers and facilitators, the professional group and the components and domains of the COM-B system and TDF framework.
Results
Study selection
The search strategy found 12,436 potentially relevant references (Fig. 1).
Fig. 1.
Flow diagram of screening process
After duplicate removal, 8,986 unique references proceeded to abstract screening, from which 272 references were selected for full-text examination. We were unable to obtain full-text copies of 14 references (Additional file 3). Of the 258 remaining references, 174 with full-text were excluded (Additional file 4). Eighty-four studies published between 1982 and 2016 satisfied our criteria [16, 20, 23, 36–116] (Table 1). Of the studies included, 76 were single-site studies, mainly from Europe (n = 47), North America (n = 12) and Oceania (n = 12). Seventy-nine references were published in English, 3 in Portuguese and 2 in Spanish. Forty-nine studies were quantitative, mostly using a cross-sectional design; 30 were qualitative, mainly using focus groups and/or semi-structured interviews; the remaining 5 used a mixed-methods approach. Sixty studies reported data on GPs, 9 on nurses and 15 on both.
Table 1.
Characteristics of included studies
| First author | Year | Country | Language | Study design | Study sample (n) | Methodological quality | |
|---|---|---|---|---|---|---|---|
| GP | Nurse | ||||||
| Aalto [36] | 2001 | Finland | English | Cross-sectional | 84 | 167 | Good |
| Aalto [38] | 2003 | Finland | English | Cross-sectional | 64 | Good | |
| Aalto [37] | 2003a | Finland | English | Focus group | 18 | 19 | Good |
| Abidi [39] | 2016 | Netherlands | English | Delphi | 37 | Good | |
| Abouyanni [40] | 2000 | Australia | English | Cross-sectional | 416 | Poor | |
| Aira [41] | 2003 | Finland | English | Semi-structured interviews | 35 | Good | |
| Aira [42] | 2004 | Finland | English | Semi-structured interviews | 35 | Good | |
| Ampt [43] | 2009 | Australia | English | Semi-structured interviews | 15 | 1 | Good |
| Anderson [44] | 1985 | UK | English | Cross-sectional | 312 | Good | |
| Anderson [46] | 2003 | Australia, Belgium, Canada, France, Italy, New Zealand, Norway, Portugal, UK | English | Cross-sectional | 1300 | Good | |
| Anderson [45] | 2004 | Australia, Belgium, Spain, UK | English | RCT | 277 | Good | |
| Anderson [47] | 2014 | Czech Republic, Italy, Netherlands, Poland, Portugal, Spain, Slovenia, UK | English | Cross-sectional | 2345 | Fair | |
| Arborelius [48] | 1995 | Sweden | English | Structured interviews | 13 | Fair | |
| Beich [49] | 2002 | Denmark | English |
Focus groups Individual interviews |
24 | Fair | |
| Bendtsen [50] | 2015 | Netherlands, Poland, Spain, Sweden, UK | English | Cohort | 409 | 282 | Fair |
| Berner [51] | 2007 | Germany | English | Cross-sectional | 58 | Fair | |
| Brennan [52] | 2013 | Australia | English | Cross-sectional | 15 | Poor | |
| Brotons [53] | 2005 | Croatia, Estonia, Georgia, Greece, Ireland, Malta, Poland, Slovakia, Slovenia, Spain, Sweden | English | Cross-sectional | 2082 | Poor | |
| Carlfjord [54] | 2012 | Sweden | English | Focus groups | 9 | 12 | Good |
| Casswell [55] | 1982 | New Zealand | English | Cross-sectional | 431 | Fair | |
| Charrel [56] | 2010 | France | English | Cross-sectional | 300 | Fair | |
| Clement [57] | 1986 | UK | English | Cross-sectional | 71 | Good | |
| Clifford [58] | 2011 | Australia | English |
Pre-post training surveys Focus groups |
3 | 3 | Good |
| Deehan [60] | 1997 | UK | English | Cross-sectional | 81 | Fair | |
| Deehan [61] | 1998 | UK | English | Cross-sectional | 2377 | Poor | |
| Deehan [59] | 1999 | UK | English | Cross-sectional | 264 | 196 | Fair |
| Farmer [62] | 2001 | UK | English |
Semi-structured interviews Cross-sectional |
50 | Poor | |
| Ferguson [63] | 2003 | USA | English | Cross-sectional | 40 | Poor | |
| Fernández [64] | 1999 | Spain | Spanish | Cross-sectional | 227 | Fair | |
| Friedmann [65] | 2000 | USA | English | Cross-sectional | 243 | Fair | |
| Fucito [66] | 2003 | Australia | English | Cross-sectional | 110 | Good | |
| Geirsson [20] | 2005 | Sweden | English | Cross-sectional | 68 | 193 | Good |
| Gurugama [67] | 2003 | Sri Lanka | English | Cross-sectional | 105 | Good | |
| Haley [68] | 2000 | Canada | English | Cross-sectional | 805 | Fair | |
| Harris [69] | 2005 | Australia | English |
Pre-post questionnaire with no control group |
21 | Poor | |
| Holmqvist [70] | 2008 | Sweden | English | Cross-sectional | 1790 | 2549 | Good |
| Hutchings [71] | 2006 | UK | English | Focus groups | 18 | 15 | Good |
| Johansson [73] | 2002 | Sweden | English | Cross-sectional | 65 | 141 | Good |
| Johansson [72] | 2005 | Sweden | English | Focus groups | 26 | Poor | |
| Johansson [74] | 2005a | Sweden | English | Focus groups | 13 | Good | |
| Kaariainen [75] | 2001 | Finland | English | Cross-sectional | GP + nurse = 69 | Fair | |
| Kaner [78] | 1999 | UK | English | Cross-sectional | 279 | Good | |
| Kaner [79] | 2001 | Australia, Belgium, Bulgaria, Canada, France, Hungary, Italy, New Zealand, Norway, Poland, Portugal, Thailand, UK | English | Cross-sectional | 2139 | Good | |
| Kaner [76] | 2003 | UK | English | Cluster RCT | 212 general practices | Fair | |
| Kaner [77] | 2006 | UK | English | Interviews | 29 | Good | |
| Kersnik [80] | 2009 | Slovenia | English | Focus groups | 32 | Good | |
| Keurhorst [81] | 2014 | Netherlands | English | Cluster RCT | 112 | Fair | |
| Kolsek [82] | 2008 | Belgium, Bulgaria, Hungary, Italy, Latvia, Russia, Slovenia | English |
Delphi Focus groups |
nr | nr | Fair |
| Koopman [83] | 2008 | South Africa | English | Cross-sectional | 50 | Fair | |
| Lacey [84] | 2009 | UK | English |
Focus groups Semi-structured interviews Cross-sectional |
nr | Fair | |
| Lambe [85] | 2008 | UK | English |
Cross-sectional Focus groups |
53 | Good | |
| Lid [86] | 2012 | Norway | English | Focus groups | 13 | Fair | |
| Lid [87] | 2015 | Norway | English | Focus groups | 19 | Good | |
| Linke [88] | 2005 | UK | English | Focus groups | 10 | Fair | |
| Lock [89] | 2002 | UK | English | Semi-structured interviews | 24 | Good | |
| Maheux [90] | 1999 | Canada | English | Cross-sectional | 805 | Fair | |
| May [91] | 2006 | UK | English | Semi-structured interviews | 43 | 1 | Good |
| McAvoy [92] | 2001 | Australia, Canada, Denmark, France, Hungary, Italy, New Zealand, Norway, Poland, Russia | English | Semi-structured interviews | 126 | Fair | |
| Miller [93] | 2006 | USA | English | Focus groups | nr | nr | Good |
| Miner [94] | 1990 | Spain | Spanish | Cross-sectional | 83 | Fair | |
| Mistral [95] | 2001 | UK | English |
Cross-sectional Semi-structured interviews |
103 | Poor | |
| Moretti-Pires [96] | 2011 | Brazil | Portuguese |
Focus groups Semi-structured interviews |
12 | Fair | |
| Mules [97] | 2012 | New Zealand | English | Semi-structured interviews | 19 | Fair | |
| Nevin [98] | 2002 | Canada | English | Cross-sectional | 75 | Fair | |
| Nygaard [100] | 2010 | Norway | English | Cross-sectional | 901 | Good | |
| Nygaard [99] | 2011 | Norway | English | Focus groups | 40 | Good | |
| Owens [101] | 2000 | UK | English | Cross-sectional | 101 | Fair | |
| Payne [102] | 2005 | Australia | English | Cross-sectional | 170 | Fair | |
| Poplas Susic [103] | 2010 | Slovenia | English | Focus groups | 32 | Good | |
| Proude [104] | 2006 | Australia | English | Pre-post questionnaire with no control group | 300 | Poor | |
| Rapley [105] | 2006 | UK | English | Semi-structured interviews | 43 | Good | |
| Ribeiro [16] | 2011 | Portugal | Portuguese | Cross-sectional | 188 | Fair | |
| Richmond [106] | 1998 | Australia | English | Post-intervention questionnaire with no control group | 272 | Poor | |
| Roche [107] | 1991 | Australia | English | Focus groups | 44 | Fair | |
| Rush [108] | 1994 | Canada | English | Cross-sectional | 1235 | Good | |
| Rush [109] | 1995 | Canada | English |
Focus groups Semi-structured interviews |
12 | Good | |
| Segnan [110] | 1992 | Italy | English | Cross-sectional | 209 | Fair | |
| Sharp [111] | 2011 | USA | English | Cross-sectional | 101 | Good | |
| Slaunwhite [112] | 2015 | Canada | English | Cross-sectional | 67 | Poor | |
| Souza [113] | 2012 | Brazil | Portuguese | Semi-structured interviews | 8 | Fair | |
| Van Zyl [114] | 2013 | South Africa | English | Cross-sectional | 77 | Fair | |
| Vandermause [115] | 2007 | USA | English | In-depth interviews | 23 | Fair | |
| Vinson [116] | 2004 | USA | English | Cluster RCT | 44 | Fair | |
| Wilson [23] | 2011 | UK | English | Cross-sectional | 282 | Good | |
nr Not reported
Methodological quality
We found considerable variation in the quality of the studies retained (Table 1). Of the 33 qualitative studies, 19 were considered to be good-, 12 fair- and 2 poor-quality studies [33–35]. Of the 51 quantitative studies, 18 were considered to be good-, 23 fair- and 10 poor-quality studies [33–35].
Summary of findings
A total of 660 data items (descriptions or reports) pertaining to barriers were extracted. A total of 46 themes were identified from these data items (Table 2).
Table 2.
TDF domains
| COM-B component—TDF domain | Theme name | Definition of the theme | Study type—no survey/interview/focus group/mixed methods/other | No. of data items |
|---|---|---|---|---|
| Barriers/facilitators | ||||
| Capability—knowledge | Alcohol-related knowledge | Doctors’ and nurses’ knowledge about specific concepts related to alcohol screening and brief interventions (e.g. drinking limits, definition of heavy drinking, guidelines, screening questionnaires, content of brief interventions) | 26/6/5/2/2 | 58/19 |
| Disease model training | An approach to the patient in that health providers ask about alcohol only when the patient present with specific symptoms and/or signs | 2/2/1/0/0 | 5/0 | |
| Patients’ receptiveness to alcohol interventions | The extent to which doctors and nurses think patients are open to be asked and advised about their drinking | 1/3/1/1/0 | 3/4 | |
| Doctors and nurses own drinking habits | The use of doctors and nurses own drinking behaviour as a benchmark to define whether or not a patient drinks excessively | 0/2/1/0/0 | 3/0 | |
| Alcohol being perceived as having health benefits | The extent to which doctors and nurses believe that drinking moderately improves health in general | 2/1/0/0/0 | 3/0 | |
| Knowledge of support services | Doctors’ and nurses’ knowledge of alcohol services where they could refer the patient to | 2/0/0/0/0 | 2/0 | |
| Capability—skills | Training | The extent to which doctors and nurses agree they have received/need training in screening and advising at-risk drinkers | 28/4/2/3/3 | 51/25 |
| Role adequacy | The extent to which doctors and nurses believe they have sufficient knowledge and skills to manage drinkers | 16/4/2/3/4 | 45/0 | |
| Demographical characteristics of the PHC professionals | Doctors’ and nurses’ demographical characteristics influencing their screening and advice performance | 2/0/0/0/0 | 3/0 | |
| Capability—memory, attention and decision processes | Demographical characteristics of the patient | Patients’ demographical characteristics influencing doctors’ and nurses’ screening and advice performance | 1/3/1/0/0 | 6/0 |
| Feedback on the results of delivering SBI | Information about doctors’ and nurses’ performance concerning screening, advice and/or effectiveness of their actions | 0/1/1/0/1 | 1/2 | |
| Remembering | Doctors’ and nurses’ perception of how easy/difficult it is to remember to ask about alcohol | 0/1/1/0/0 | 2/0 | |
| Capability—behaviour regulation | Organization for preventive counselling | Doctors’ and nurses’ perception of the presence or absence of organization/systematic strategies to implement alcohol screening and brief advice | 5/4/7/0/2 | 6/19 |
| Motivation—beliefs about capabilities | Beliefs about the ability to deliver SBI and in helping patients to cut down | Doctors’ and nurses’ beliefs about, and/or confidence in, the effectiveness of their skills to screen and advise patients to reduce their alcohol intake | 23/5/4/2/6 | 60/6 |
| Time | Time-related factors doctors and nurses believe to affect their capability to implement alcohol screening and brief interventions | 9/7/10/3/3 | 31/14 | |
| Difficult task | Difficulties perceived by doctors and nurses when asking and advising patients about alcohol | 13/6/6/2/4 | 30/24 | |
| Therapeutic commitment | Doctors’ and nurses’ predisposition to working therapeutically with people who have excessive alcohol consumption | 3/0/0/0/2 | 5/0 | |
| Self-esteem when working with at-risk drinkers | Doctors’ and nurses’ perceived self-worth when working with at-risk drinkers | 4/0/1/0/0 | 4/3 | |
| Disease model training | An approach to the patient in that health providers ask about alcohol only when the patient present with specific symptoms and/or signs | 0/1/0/0/0 | 1/0 | |
| Patients’ beliefs about alcohol | Doctors’ and nurses’ perceptions of the conceptions patients have about the effects of alcohol, either beneficial or detrimental | 0/1/0/0/0 | 1/0 | |
| Demographical characteristics of the patient | Patients’ demographical characteristics influencing doctors’ and nurses’ screening and advice performance | 0/1/0/0/0 | 2/0 | |
| Motivation—beliefs about consequences | Effectiveness of SBI | Doctors’ and nurses’ beliefs about the effectiveness of asking and advising patients about their alcohol consumption | 13/3/4/1/4 | 24/14 |
| Patients’ feelings when asked about their drinking | Doctors’ and nurses’ beliefs about how patients would feel if asked and advised about alcohol | 5/6/6/1/0 | 22/3 | |
| Therapeutic relation with the patient | The therapeutic alliance that is established between a healthcare professional and a patient | 1/4/5/1/2 | 12/4 | |
| Reliability of the answers of the patients when asked about alcohol | The degree to which doctors and nurses believe in the accuracy of the answers provided by patients concerning their alcohol consumption | 1/5/2/0/1 | 9/0 | |
| Patients’ receptiveness to alcohol interventions | The extent to which doctors and nurses think patients are open to be asked and advised about their drinking | 4/3/2/1/0 | 7/4 | |
| Patients’ reactions when asked about alcohol | Doctors’ and nurses’ beliefs about how patients would react if asked and advised about alcohol | 3/4/0/2/1 | 7/3 | |
| Frustrating task | Doctors’ and nurses’ beliefs about how they would feel if they were to implement alcohol screening and brief interventions | 2/2/0/1/1 | 5/1 | |
| Alcohol being perceived as having health benefits | The extent to which doctors and nurses believe that drinking moderately improves health in general | 2/1/0/0/0 | 3/0 | |
| Incentives | Doctors’ and nurses’ beliefs about what they would gain by implementing alcohol screening and brief interventions | 4/1/2/1/1 | 2/22 | |
| Time | Time-related factors doctors and nurses believe to affect their capability to implement alcohol screening and brief interventions | 1/4/4/0/1 | 2/14 | |
| Delivering SBI can make other patients suffer | Doctors’ and nurses’ belief that implementing alcohol screening and brief interventions could harm other patients | 1/0/0/1/0 | 2/0 | |
| Bad publicity | Doctors’ and nurses’ belief that dealing with at-risk drinkers could give the practice a bad name | 0/0/0/1/0 | 1/0 | |
| Demographical characteristics of the patient | Patients’ demographical characteristics influencing doctors’ and nurses’ screening and advice performance | 0/1/0/0/0 | 1/0 | |
| SBI delivery impedes caring for the patient | Doctors’ and nurses’belief that bringing alcohol into the discussion impedes the comprehensive care of the patient | 1/0/0/0/0 | 1/0 | |
| Uncomfortable task | Doctors’ and nurses’ expectation of feeling unease or awkward when conducting alcohol screening and brief interventions | 0/0/1/0/1 | 1/1 | |
| Patients with alcohol problems do not attend their appointments | Doctors’ and nurses’expectation that patients with alcohol problems would not attend appointments to address their drinking | 0/1/0/0/0 | 1/0 | |
| Motivation—social/professional role and identity | Role legitimacy | The extent to which doctors and nursesbelieve they have a legitimate role in addressing alcohol issues in their patients | 15/4/4/1/2 | 41/0 |
| Professional responsibility | The extent to which doctors and nurses find addressing alcohol in their patients to be their responsibility | 12/2/4/1/0 | 24/0 | |
| Disease model training | An approach to the patient in that health providers ask about alcohol only when the patient present with specific symptoms and/or signs | 7/2/4/1/0 | 14/0 | |
| Doctors and nurses own drinking habits | The use of doctors and nurses own drinking behaviour as a benchmark to define whether or not a patient drinks excessively | 4/2/3/0/0 | 9/0 | |
| Doctors’ and nurses’ permissiveness towards alcohol | Doctors’ and nurses’ tolerance or acceptability towards their patients’ alcohol consumption | 3/3/0/0/0 | 7/0 | |
| Role security | The extent to which doctors and nurses feel secure in their role when addressing alcohol issues in their patients | 3/0/0/0/2 | 5/0 | |
| Doctors’ and nurses’ attitudes towards discussing alcohol with patients | The way doctors and nurses feel or think about asking and advising their patients about their drinking | 1/0/1/0/1 | 3/0 | |
| Patients’ feelings when asked about their drinking | Doctors’ and nurses’ beliefs about how patients would feel if asked and advised about alcohol | 0/2/1/1/0 | 3/3 | |
| Demographical characteristics of the PHC professionals | Doctors’ and nurses’ demographical characteristics influencing thier screening and advice performance | 0/0/1/0/0 | 1/0 | |
| Demographical characteristics of the patient | Patients’ demographical characteristics influencing doctors’ and nurses’ screening and advice performance | 0/1/0/0/0 | 1/0 | |
| Therapeutic relation with the patient | The therapeutic alliance that is established between a healthcare professional and a patient | 1/0/2/1/1 | 1/4 | |
| Feedback on the results of delivering SBI | Information about doctors’ and nurses’ performance concerning screening, advice and/or effectiveness of their actions | 0/1/1/0/1 | 1/2 | |
| Motivation—emotion | Satisfaction when working with at-risk drinkers | The extent to which doctors and nurses feel rewarded when working with at-risk drinkers | 13/0/1/0/0 | 19/0 |
| Uncomfortable task | Doctors’ and nurses’ expectation of feeling unease or awkward when conducting alcohol screening and brief interventions | 5/6/3/0/3 | 16/1 | |
| Patients’ feelings when asked about their drinking | Doctors’ and nurses’ beliefs about how patients would feel if asked and advised about alcohol | 0/2/5/1/0 | 7/3 | |
| Frustrating task | Doctors’ and nurses’ beliefs about how they would feel if they were to implement alcohol screening and brief interventions | 2/2/0/1/1 | 5/1 | |
| Therapeutic commitment | Doctors’ and nurses’ predisposition to working therapeutically with people who have excessive alcohol consumption | 3/0/0/0/2 | 5/0 | |
| Self-esteem when working with at-risk drinkers | Doctors’ and nurses’ perceived self-worth when working with at-risk drinkers | 1/0/1/1/1 | 2/3 | |
| Doctors and nurses own drinking habits | The use of doctors and nurses own drinking behaviour as a benchmark to define whether or not a patient drinks excessively | 0/2/0/0/0 | 3/0 | |
| Motivation to work with at-risk drinkers | The extent to which doctors and nurses want to work with at-risk drinkers | 4/2/1/0/1 | 1/16 | |
| Motivation—intentions | Motivation to work with at-risk drinkers | The extent to which doctors and nurses want to work with at-risk drinkers | 15/2/2/2/1 | 18/16 |
| Therapeutic commitment | Doctors’ and nurses’ predisposition to working therapeutically with people who have excessive alcohol consumption | 3/0/0/0/2 | 5/0 | |
| Motivation—reinforcement | Incentives | Doctors’ and nurses’ beliefs about what they would gain by implementing alcohol screening and brief interventions | 7/1/4/1/2 | 13/22 |
| Motivation—optimism | Beliefs about the ability to deliver SBI and in helping patients to cut down | Doctors’ and nurses’ beliefs about, and/or confidence in, the effectiveness of their skills to screen and advise patients to reduce their alcohol intake | 3/2/1/1/1 | 4/6 |
| Motivation—goals | Importance / Priority given to alcohol issues | Importance / priority given to alcohol issues by doctors and nurses when compared to other risk factors or tasks | 5/5/3/0/0 | 13/1 |
| Time | Time-related factors doctors and nurses believe to affect their capability to implement alcohol screening and brief interventions | 5/4/3/0/2 | 7/14 | |
| Opportunity—environmental context and resources | Time | Time-related factors doctors and nurses believe to affect their capability to implement alcohol screening and brief interventions | 16/7/11/3/5 | 45/14 |
| Support | The extent to which doctors and nurses feel to be working in supporting environment to address alcohol problems | 24/3/5/2/4 | 30/57 | |
| Resources | The availability of materials, tools or any other thing that doctors and nurses feel they need to screen and advise at-risk drinkers | 9/3/5/1/3 | 22/21 | |
| Patients’ denial of the problem and resistance to accepting treatment | The extent to which doctors and nurses agree patient denial of the problem and resistance to treatment influence their decision to deliver screening and brief intervention | 6/3/1/1/0 | 14/0 | |
| Patients’ feelings when asked about their drinking | Doctors’ and nurses’ beliefs about how patients would feel if asked and advised about alcohol | 5/3/3/1/0 | 12/3 | |
| Organization for preventive counselling | Doctors’ and nurses’ perception of the presence or absence of organization/systematic strategies to implement alcohol screening and brief advice | 6/4/7/0/3 | 9/19 | |
| Patients’ beliefs about alcohol | Doctors’ and nurses’ perceptions of the conceptions patients have about the effects of alcohol, either beneficial or detrimental | 1/3/1/0/0 | 8/1 | |
| Incentives for patients | Something (e.g. reimbursement) doctors and nurses think would encourage patients to seek alcohol counselling | 5/1/1/0/0 | 7/0 | |
| Patients with alcohol problems do not attend their appointments | Doctors’ and nurses’ perception that at-risk drinkers are not interested and frequently miss follow-up consultations | 0/2/0/1/1 | 4/0 | |
| Patients’ receptiveness to alcohol interventions | The extent to which doctors and nurses think patients are open to be asked and advised about their drinking | 0/2/1/1/2 | 4/4 | |
| Delivering SBI can make other patients suffer | Doctors’ and nurses’ belief that implementing alcohol screening and brief interventions could harm other patients | 1/0/0/1/0 | 2/0 | |
| Familiarity with the patient | The level of acquaintance between the primary health care provider and the patient | 0/1/1/0/0 | 1/1 | |
| Opportunity—social influences | Patients’ feelings when asked about their drinking | Doctors’ and nurses’ beliefs about how patients would feel if asked and advised about alcohol | 5/4/5/1/0 | 17/3 |
| Patients’ reactions when asked about alcohol | Doctors’ and nurses’ beliefs about how patients would react if asked and advised about alcohol | 3/5/1/2/1 | 10/3 | |
| Doctors’ and nurses’ permissiveness towards alcohol | Doctors’ and nurses’ tolerance or acceptability towards their patients’ alcohol consumption | 3/3/0/0/0 | 7/0 | |
| Patients seeking help | Patients asking primary care doctors or nurses for help or advice about their drinking by their own initiative | 4/4/0/0/0 | 4/6 | |
| Support | The extent to which doctors and nurses feel to be working in supporting environment to address alcohol problems | 11/3/5/2/2 | 3/57 | |
| Patients’ receptiveness to alcohol interventions | The extent to which doctors and nurses think patients are open to be asked and advised about their drinking | 0/2/1/1/2 | 4/4 | |
| Role legitimacy | The extent to which doctors and nurses believe they have a legitimate role in addressing alcohol issues in their patients | 0/1/1/0/0 | 2/0 | |
| Presence of third parties in the consultation | Having relatives, friends or other persons attending the consultation with the patient | 0/1/0/0/0 | 1/0 |
The most commonly reported barrier-related themes were related to ‘beliefs about their ability to deliver SBI and to help patients to cut down’ (n = 62 data units), ‘alcohol-related knowledge’ (n = 58 data units), and ‘time’ (n = 50 data units). A total of 253 data items pertaining to facilitators were extracted. All facilitator items related to or addressed one of the 46 barrier themes. Together, the facilitator items mapped onto 22 of the 46 themes. The most commonly reported facilitator-related themes were related to ‘support’ (n = 57 data units), ‘training’ (n = 25 data units) and ‘difficult task’ (n = 24 data units).
TDF domains are numbered as originally designated [30]. All 46 identified themes are mapped to at least one of the three components of the COM-B system and to at least one of the 14 domains of the TDF (Table 2). Additional files 5 and 6 provide a complete description of the barriers and facilitators extracted.
Capability (COM-B component 1)
Thirteen themes relate to the capability component of the COM-B system, which includes four TDF domains (Knowledge; Skills; Memory, Attention and Decision Processes; Behavioural regulation). These 13 themes emerged from 68 studies from 26 countries (Table 3). Most studies (n = 40) were quantitative in design and reported data mainly from GPs (n = 49).
Table 3.
Themes coded to each of the TDF domains within the capability component of the COM-B system
| TDF | Theme | Countries | References on barriers | References on facilitators |
|---|---|---|---|---|
| Knowledge | Alcohol-related knowledge | UK(8); Finland(6); Sweden(4); Multicountry(3); Norway(3); Australia(2); New Zealand(2); South Africa(2); Spain(2); USA(2); Brazil(1); Canada(1); France(1); Netherlands(1); Portugal(1); Slovenia(1); Sri Lanka(1) | [16, 20, 23, 36–38, 41, 42, 47, 52, 56, 57, 62, 64–67, 70, 73–75, 78, 83, 84, 87, 89, 92, 94, 96, 97, 99, 101, 103, 105, 108, 111, 114] | [39, 55, 70, 73, 79, 100] |
| Disease model training | Finland(3); Sweden(1); UK(1) | [38, 41, 42, 61, 74] | ||
| Doctors and nurses own drinking habits | UK(2); Norway(1) | [77, 87, 89] | ||
| Alcohol being perceived as having health benefits | Finland(1); Sweden(1); UK(1) | [20, 38, 42] | ||
| Patients’ receptiveness to alcohol interventions | Australia(1); Finland(1); New Zealand(1); Norway(1); UK(1); USA(1) | [42, 65, 105] | [58, 87, 97] | |
| Knowledge of support services | Sweden(1); UK(1) | [70, 101] | ||
| Skills | Training | UK(13); Sweden(5); Multicountry(4); USA(3); Canada(2); Finland(2); Spain(2); Australia(1); Brazil(1); Denmark(1); Italy(1); Netherlands(1); New Zealand(1); Portugal(1); Slovenia(1); South Africa(1); Sri Lanka(1) | [16, 20, 23, 36, 41, 44, 46, 47, 49, 52, 57, 59–65, 67, 68, 70, 76, 78, 79, 83, 89, 90, 92, 94–96, 99, 110, 111] | [23, 36, 39, 48, 52, 55, 72, 73, 78–80, 84, 92, 101] |
| Role adequacy | UK(9); Australia(3); USA(3); Multicountry(2); Sweden(2); Canada(1); Denmark(1); Finland(1); New Zealand(1); Norway(1); Portugal(1); Slovenia(1); South Africa(1); Spain(1); Sri Lanka(1) | [16, 20, 23, 36, 44, 47, 49, 52, 57, 59, 62, 64, 65, 67, 70, 78, 83, 84, 87, 92, 95, 97, 103–106, 108, 111, 116] | ||
| Demographical characteristics of the PHC professionals | Germany(1); Norway(1) | [51, 100] | ||
| Memory, attention and decision processes | Demographical characteristics of the patient | Finland(1); Germany(1); Sweden(1); UK(1); USA(1) | [41, 51, 74, 105, 115] | |
| Remembering | Finland(1); Sweden(1) | [41, 74] | ||
| Feedback on the results of delivering SBI | UK(2); Finland(1) | [42] | [71, 109] | |
| Behaviour regulation | Organization for preventive counselling | Sweden(4); UK(4); Slovenia(2); Canada(1); Finland(1); Multicountry(1); Netherlands(1); New Zealand(1); Norway(1); South Africa(1); USA(1) | [47, 74, 78, 83, 103, 109] | [39, 41, 54, 70, 71, 73, 76, 80, 91, 93, 97, 100] |
Skills—TDF domain no. 2
Theme: Training
In general, both GPs and nurses reported a lack of training in dealing with alcohol problems. The majority of the GPs thought their medical training was inadequate to address alcohol issues in their patients. Three survey studies from the UK found that only a minority of the GPs and nurses received alcohol-specific training since graduation [59–61]. In 9 survey studies, the majority of the GPs and nurses who received training reported that those programmes lasted less than four hours [20, 23, 44, 46, 47, 70, 76, 78, 79]. Several studies on both GPs and nurses reported availability of educational and training programmes as an important facilitator [23, 36, 55, 73, 78, 84].
Theme: Role adequacy
Mixed evidence was found concerning GPs’ and nurses’ appraisal of their skills in detecting and advising at-risk drinkers. On the one hand, the majority of the GPs in 9 [20, 44, 47, 57, 59, 62, 67, 83, 104], and of the nurses in 3 quantitative studies [20, 59, 84] felt they were not skilled enough to deliver alcohol SBI; on the other hand, the majority of the GPs in 14 [16, 20, 23, 36, 52, 62, 64, 70, 78, 83, 95, 106, 108, 111], and of the nurses in 2 quantitative studies [36, 70] reported the opposite.
Knowledge—TDF domain no. 1
Theme: Alcohol-related knowledge
A total of 53 data units from 35 studies reporting on barriers were extracted. Most data came from GPs (n = 34). Alcohol-related knowledge included issues of self-reported knowledge of alcohol SBI concepts (e.g. the definition of sensible drinking limits, the content of a brief intervention), and familiarity with guidelines and screening tools. One Spanish study found that 60% of the GPs had not received alcohol-specific education during medical school [94]. A varying degree of both GPs and nurses in 2 survey studies indicated alcohol-specific education as a facilitator [70, 73].
Theme: Disease model training
Four studies (3 qualitative and 1 quantitative) from the Nordic countries mentioned that GPs asked their patients about alcohol only if there was something that made them suspect the patient was a heavy drinker [38, 41, 42, 74]. Notwithstanding, a quantitative study from the UK reported that only 4% of the GPs agreed that their role was to treat alcohol-related medical complications only [61].
Four other less frequently mentioned themes were linked to this TDF domain (Table 3).
Memory, attention and decision processes—TDF domain no. 10
Theme: Demographical characteristics of the patient
Six pieces of data from 3 qualitative, 1 quantitative and 1 mixed methods studies alluded that both GPs and nurses screening activities were influenced by patients’ characteristics [41, 51, 74, 105, 115]. Older patients and being a female were found to be at lower odds of being detected as problem drinkers, whilst visiting the GP more than 5 times within the last year increased the chances of detection.
Theme: Remembering
Asking patients about alcohol was found easy to forget in 2 qualitative studies on GPs from the Nordic countries [41, 74].
Theme: Feedback on the results of delivering SBI
One interview study from Finland found that GPs were unaware of whether or not patients they advised reduced their drinking because GPs do not schedule follow-up appointments [42].
Behavioural regulation—TDF domain no. 14
Theme: Organization for preventive counselling
Three survey studies showed that 40 to 86% of the GPs believed general practices are not organized to do preventive counselling [47, 78, 83]. GPs in 3 qualitative studies mentioned that implementation strategies for routine screening of at-risk drinkers were lacking [74, 103, 109]. GPs and nurses often cited improving professional teamwork (e.g. having a practice nurse delivering SBI, having receptionists giving patients screening tools) as a facilitator [39, 41, 54, 70, 71, 73, 76, 80, 91, 93, 97, 99].
Motivation (COM-B component 2)
The 33 themes in the motivation component of the COM-B system, which includes eight TDF domains (Social/professional role and identity; Beliefs about capabilities; Optimism; Beliefs about Consequences; Reinforcement; Intentions; Goals; Emotion), emerged from 75 studies from 30 countries (Table 4). The majority of the studies (n = 43) were quantitative in design and reported data mainly from GPs (n = 54).
Table 4.
Themes coded to each of the TDF domains within the motivation component of the COM-B system
| TDF | Theme | Countries | References on barriers | References on facilitators |
|---|---|---|---|---|
| Beliefs about capabilities | Beliefs about the ability to deliver SBI and in helping patients to cut down | UK(11); Australia(5); Multicountry(5); Finland(3); Sweden(3); USA(3); Canada(2); Denmark(1); New Zealand(2); Netherlands(1); South Africa(1); Spain(1); Sri Lanka(1) | [20, 36, 37, 40, 41, 44–48, 50, 52, 53, 55, 59–62, 64, 65, 67, 72, 75, 78, 81, 84, 85, 97, 101, 104–109, 111, 116] | [48, 49, 71, 78, 100] |
| Time | Sweden(7); Australia(5); UK(5); USA(4); Finland(2); Norway(2); Canada(1); Denmark(1); Multicountry(1); Netherlands(1); New Zealand(1); Portugal(1); Slovenia(1); Sri Lanka(1) | [16, 20, 37, 41, 48, 49, 52, 54, 58, 62, 63, 65, 67, 70, 72–74, 87, 91, 92, 95, 97, 99, 105–107, 109, 111] | [39, 43, 70, 71, 80, 92, 93, 97] | |
| Difficult task | UK(8); Australia(3); Canada(3); Finland(3); Norway(3); Multicountry(2); Sweden(2); Brazil(1); Denmark(1); Netherlands(1); New Zealand(1); Portugal(1); South Africa(1); Sri Lanka(1) | [16, 23, 37, 41, 42, 49, 54, 59–62, 67, 68, 73, 78, 83, 86, 90, 92, 97, 99, 102, 105, 107, 109, 113] | [39, 41, 58, 62, 71, 86, 87, 97, 99, 105, 109] | |
| Therapeutic commitment | Multicountry(4); Netherlands(1) | [45–47, 50, 81] | ||
| Self-esteem when working with at-risk drinkers | UK(3); Portugal(1); Sweden(1) | [16, 20, 23, 78] | [71] | |
| Disease model training | Finland(1) | [41] | ||
| Patients’ misbeliefs about alcohol | UK(1) | [105] | ||
| Demographical characteristics of the patient | New Zealand(1) | [97] | ||
| Beliefs about consequences | Effectiveness of SBI | UK(6); Finland(3); Sweden(3); Australia(2); Multicountry(2); Norway(2); Canada(1); Denmark(1); Italy(1); Netherlands(1); New Zealand(1); South Africa(1); Spain(1) | [20, 23, 36, 38, 42, 45, 49, 55, 57, 64, 70, 73, 78, 83, 84, 86, 91, 106, 107, 110] | [23, 36, 39, 47, 71, 78, 84, 87, 92, 109] |
| Patients’ feelings when asked about their drinking | Norway(3); UK(3); Finland(2); Multicountry(2); USA(2); Australia(1); Brazil(1); France(1); New Zealand(1); Slovenia(1); Sweden(1) | [20, 23, 41, 42, 47, 56, 71, 78, 84, 87, 92, 93, 97, 99, 103, 113, 115] | [58, 93] | |
| Therapeutic relation with the patient | Sweden(3); UK(2); Canada(1); Denmark(1); Finland(1); France(1); New Zealand(1); Norway(1); Slovenia(1); USA(1) | [37, 48, 49, 56, 72, 74, 91, 97, 99, 103, 109, 115] | [49, 74, 84, 99] | |
| Reliability of the answers of the patients when asked about alcohol | Finland(2); Denmark(1); Multicountry (1); New Zealand(1); Norway(1); Sri Lanka(1); Sweden(1); UK(1) | [37, 42, 48, 49, 67, 89, 92, 97, 99] | ||
| Patients’ reactions when asked about alcohol | Sweden(3); UK(3); Australia(1); Denmark(1); Finland(1); Multicountry(1) | [70, 73, 84, 89, 92, 95, 102] | [41, 48, 49] | |
| Patients’ receptiveness to alcohol interventions | Finland(2); USA(2); Australia(1); New Zealand(1); Norway(1); Slovenia(1); Sweden(1); UK(1) | [36, 42, 63, 65, 73, 103, 105] | [58, 87, 97] | |
| Frustrating task | UK(3); Canada(1); Portugal(1); Sweden(1) | [16, 57, 62, 77, 109] | [48] | |
| Alcohol being perceived as having health benefits | Finland(1); Sweden(1); UK(1) | [20, 42, 78] | ||
| Incentives | UK(3); Australia(1); Finland(1); Multicountry(1); Netherlands(1); Slovenia(1); Sweden(1) | [95, 107] | [20, 23, 36, 39, 78, 80, 92] | |
| Time | Sweden(2); Australia(1); Finland(1); Multicountry(1); Netherlands(1); New Zealand(1); Slovenia(1); UK(1); USA(1) | [37, 48] | [39, 43, 70, 71, 80, 92, 93, 97] | |
| Delivering SBI can make other patients suffer | Sweden(1); UK(1) | [73, 95] | ||
| Bad publicity | UK(1) | [95] | ||
| Demographical characteristics of the patient | UK(1) | [89] | ||
| SBI delivery impedes caring for other patients | Finland(1) | [38] | ||
| Uncomfortable task | Australia(1); Netherlands(1) | [107] | [39] | |
| Patients with alcohol problems do not attend their appointments | New Zealand(1) | [97] | ||
| Social/professional role and identity | Role legitimacy | UK(7); Finland(5); Sweden(3); Canada(2); New Zealand(2); Australia(1); Denmark(1); Norway(1); Portugal(1); Slovenia(1); South Africa(1); Spain(1) | [16, 23, 36–38, 44, 49, 52, 55, 57, 62, 64, 72–75, 78, 83, 89, 97, 99, 102, 105, 108, 109] | |
| Professional responsibility | UK(7); Sweden(3); Finland(2); New Zealand(2); Australia(1); Multicountry(1); South Africa(1); Sri Lanka(1); USA(1) | [23, 37, 38, 47, 55, 59–62, 65, 67, 72–74, 78, 83, 97, 105, 107] | ||
| Disease model training | UK(4); Sweden(3); Finland(2); Australia(1); Multicountry(1); Norway(1); South Africa(1); Sri Lanka(1) | [23, 41, 42, 47, 58, 61, 67, 72–74, 78, 83, 88, 99] | ||
| Doctors and nurses own drinking habits | UK(4); Canada(1); Multicountry(1); Norway(1); Slovenia(1); Sweden(1) | [23, 47, 74, 77, 78, 87, 89, 98, 103] | ||
| Doctors’ and nurses’ permissiveness towards alcohol | UK(2); Finland(1); Multicountry(1); Sweden(1); USA(1) | [20, 23, 38, 47, 89, 115] | ||
| Role security | Multicountry(4); Netherlands(1) | [45–47, 50, 81] | ||
| Doctors’ and nurses’ attitudes towards discussing alcohol with patients | Finland(2); Denmark(1) | [36, 37, 49] | ||
| Patients’ feelings when asked about their drinking | Finland(2); Australia(1); USA(1) | [41, 42, 93] | ||
| Demographical characteristics of the PHC professionals | Australia(1); Canada(1) | [107, 109] | ||
| Demographical characteristics of the patient | UK(1) | [89] | ||
| Therapeutic relation with the patient | Denmark(1); Finland(1); Norway(1); Sweden(1); UK(1) | [38] | [49, 74, 84, 99] | |
| Feedback on the results of delivering SBI | UK(2); Finland(1) | [42] | [71, 109] | |
| Emotion | Uncomfortable task | UK(5); Finland(2); USA(2); Canada(1); France(1); Multicountry(1); Netherlands(1); New Zealand(1); Norway(1); South Africa(1); Sweden(1) | [23, 37, 41, 47, 54, 56, 77, 78, 83, 89, 91, 97, 99, 109, 115, 116] | [39] |
| Satisfaction when working with at-risk drinkers | UK(8); Sweden(2); Canada(1); Portugal(1); Spain(1); Sri Lanka(1) | [16, 20, 23, 44, 57, 59–62, 67, 73, 78, 94, 108] | ||
| Patients’ feelings when asked about their drinking | Norway(3); USA(2); Australia(1); New Zealand(1); UK(1); | [71, 86, 87, 97, 99, 115] | [58, 93] | |
| Frustrating task | UK(3); Canada(1); Portugal(1); Sweden(1) | [16, 57, 62, 77, 109] | [48] | |
| Therapeutic commitment | Multicountry(4); Netherlands(1) | [45–47, 50, 81] | ||
| Self-esteem when working with at-risk drinkers | UK(2); Canada(1) | [62, 108] | [71] | |
| Doctors and nurses own drinking habits | UK(2) | [77, 89] | ||
| Motivation to work with at-risk drinkers | UK(3); Multicountry(1); Netherlands(1); Norway(1); Sri Lanka(1); Sweden(1) | [105] | [39, 47, 48, 59, 60, 67, 99] | |
| Intentions | Motivation to work with at-risk drinkers | UK(9); Sweden(3); Australia(2); Spain(2); Canada(1); Multicountry(1); Netherlands(1); Portugal(1); Sri Lanka(1); USA(1) | [16, 20, 23, 44, 57, 62, 64–66, 78, 94, 95, 105, 107, 108] | [39, 47, 48, 59, 60, 67, 99] |
| Therapeutic commitment | Multicountry(4); Netherlands(1) | [45–47, 50, 81] | ||
| Reinforcement | Incentives for delivering SBI | UK(3); Australia(2); Multicountry(2); Slovenia(2); Finland(1); Netherlands(1); Norway(1); Portugal(1); South Africa(1); Sweden(1) | [16, 23, 47, 78, 83, 92, 95, 99, 103, 106, 107] | [20, 23, 36, 39, 78, 80, 92] |
| Goals | Importance/priority given to alcohol issues | UK(4); Sweden(3); Multicountry(2); Norway(2); Finland(1); USA(1) | [20, 23, 41, 47, 48, 65, 71, 74, 78, 88, 92, 105] | [99] |
| Time | UK(4); Australia(2); Multicountry(2); Netherlands(1); New Zealand(1); Slovenia(1); South Africa(1); Sweden(1); USA(1) | [23, 47, 78, 83, 92, 105, 106] | [39, 43, 70, 71, 80, 92, 93, 97] | |
| Optimism | Beliefs about the ability to deliver SBI and in helping patients to cut down | UK(3); Denmark(1), Multicountry(1); New Zealand(1); Norway(1); Sweden(1) | [55, 62, 92] | [48, 49, 71, 78, 100] |
Beliefs about capabilities—TDF domain no. 4
Theme: Beliefs about the ability to deliver SBI and in helping patients to cut down
Twenty-three studies reported on how GPs felt about their abilities for screening and advising at-risk drinkers, of which 16 found a majority of GPs believed they were confident in their abilities [20, 36, 40, 44–47, 50, 52, 59–62, 64, 65, 67, 78, 81, 83, 104, 106, 108, 111] compared with 1 of 3 studies involving nurses [20, 36, 59]. Notwithstanding, the majority of the GPs in 7 from a total of 11 studies [20, 53, 55, 59–62, 65, 78, 83, 108], and of the nurses in 2 studies [20, 85], did not feel their advice would have much impact. GPs and nurses reported more training for improving counselling skills [20, 49, 78, 83] and feedback on successful cases [71] as facilitators.
Theme: Time
Lack of time was cited as a barrier, mainly by GPs, in 28 studies. Two main sub-themes were identified: having competing demands (e.g. needing to attend patients with multiple health problems); and thinking that alcohol SBI is too time consuming. More time per consultation, more experience in delivering brief interventions and simplifying the screening process (e.g. short and simple screening tools, giving patients self-report questionnaires) are examples of reported facilitators [39, 43, 93, 97].
Six other less frequently mentioned themes were linked to this TDF domain (Table 4).
Beliefs about Consequences—TDF domain no. 6
Theme: Effectiveness of SBI
Mixed evidence was found concerning whether or not GPs believed in the effectiveness of brief interventions for reducing alcohol consumption. In 4 quantitative and 4 qualitative studies GPs were sceptical that patients would follow their advice [20, 42, 47, 49, 78, 83, 91, 107]; data from 6 quantitative and 1 qualitative studies point otherwise [23, 64, 70, 73, 86, 106, 110]. Three studies on nurses found that most believed in the efficacy of brief interventions [70, 73, 84]. More information about the effectiveness of brief interventions [23, 36, 39, 47, 78, 84, 87, 92] and feedback on successful cases [71, 109] were identified as implementation facilitators.
Theme: Patients’ feelings when asked about their drinking
Evidence from several qualitative studies suggest that GPs and nurses might be afraid to offend their patients by asking them about alcohol. This issue was addressed in 5 survey studies among GPs, of which 4 found a majority of GPs did not believe patients would resent being asked [20, 23, 47, 56, 78]. Increasing experience with screening and normalizing alcohol questions were reported as facilitators [93].
Fourteen other less frequently mentioned themes were linked to this TDF domain (Table 4).
Social/professional role and identity—TDF domain no. 3
Theme: Role legitimacy
In general, the majority of both GPs and nurses agreed that identifying and providing alcohol-related advice is a natural part of their job. Nearly all GPs in 3 studies from the UK and Canada believed they have the right to ask patients about alcohol and that their patients share this view [57, 62, 108].
Theme: Professional responsibility
Believing that preventing alcohol problems is a GP responsibility was found to vary substantially from country to country. On the one hand, the majority of the GPs in 1 multicountry and 1 South African studies reported that these problems were not their responsibility [47, 67]; on the other hand, the majority of the GPs in 2 studies from the UK and 1 study from the USA thought the opposite [23, 65, 78].
Theme: Disease model training
A varying number of GPs agreed to have disease model training and that they do not think about prevention. Data, mainly from qualitative studies, suggested that GPs and nurses do not screen systematically for alcohol but only when they suspected heavy consumption, or when the patient’s complaint was likely to be alcohol-related [41, 42, 58, 67, 72–74, 88].
Nine other less frequently mentioned themes were linked to this TDF domain (Table 4).
Emotion—TDF domain no. 13
Theme: Uncomfortable task
Several GPs and nurses expressed feeling uneasy when asking patients about their drinking. In 10 qualitative studies, primary health care (PHC) providers considered asking about alcohol a delicate task because alcohol is viewed as a sensitive issue, making them feel uncomfortable [37, 41, 54, 77, 89, 91, 97, 99, 109, 115]. Notwithstanding, the majority of the GPs in 4 from a total of 6 quantitative studies reported feeling comfortable asking about alcohol [23, 47, 56, 78, 83, 116]. Destigmatizing problematic alcohol use was identified as a facilitator in 1 qualitative study [39].
Theme: Satisfaction when working with at-risk drinkers
With the notable exception of 1 study on GPs from Sri Lanka [67], the majority of the GPs in the remaining 13 studies addressing this issue (8 from the UK), and of the nurses in 3 studies (2 from Sweden and 1 from the UK) reported feeling unsatisfied advising patients to cut down [16, 20, 23, 44, 57, 59–62, 73, 78, 94, 108].
Six other less frequently mentioned themes were linked to this TDF domain (Table 4).
Intentions—TDF domain no. 8
Theme: Motivation to work with at-risk drinkers
In 2 qualitative studies from Australia and the UK, GPs acknowledged they were not interested in dealing with alcohol problems [105, 107]. The majority of the GPs in 8 from a total of 10 quantitative studies felt unmotivated to work with at-risk drinkers [16, 23, 44, 57, 62, 66, 78, 94, 95, 108]. In 1 survey study from Sweden, nurses scored neutral on a motivational scale from 1 to 7 [20]. The majority of the GPs from several countries [47, 59, 60, 67], and of the nurses in 1 UK-based study [59], reported that more training in brief interventions would increase their motivation to work with at-risk drinkers. Seventeen to 33% of the GPs from Sri Lanka and the UK agreed they would be more willing to work with at-risk drinkers if financial incentives were provided [59, 67].
Theme: Therapeutic commitment
Five quantitative studies (4 on GPs and 1 in both GPs and nurses) employed a validated scale for measuring GPs’ and nurses’ predisposition for working therapeutically with at-risk drinkers [45–47, 50, 81]. All 5 studies reported that the majority of these professionals were not therapeutically committed.
Goals—TDF domain no. 9
Theme: Importance/priority given to alcohol issues
Fourteen to 54% of the GPs in 3 quantitative studies considered alcohol an unimportant issue in PHC [23, 47, 78]. Creating a specific billing code for this area was reported by some Norwegian GPs as a facilitator to increase GPs awareness of the importance of alcohol-related problems [99].
Theme: Time
Alcohol was not a goal priority for GPs because they were too busy, which makes them neglect alcohol issues in favour of other presenting problems [23, 47, 78, 83, 92, 105, 106]. Implementing a short questionnaire in the registration system [39] and increasing knowledge that a brief intervention costs little time and can be effective [39] were suggested as facilitators.
Reinforcement—TDF domain no. 7
Theme: Incentives
The majority of the GPs in 3 quantitative studies reported that alcohol SBI activities were not reimbursable under government health schemes [47, 78, 83]. Three qualitative studies reported that GPs and nurses would feel incentivized if financial reimbursement for providing alcohol brief interventions was available [39, 80, 105]; however, only 24% of the GPs and nurses in 2 survey studies from the Nordic countries agreed with this [20, 36].
Optimism—TDF domain no. 5
Theme: Beliefs about the ability to deliver SBI and in helping patients to cut down
Two quantitative studies from New Zealand and the UK found that 13 to 28% of the GPs felt pessimistic about what they could do to help at-risk drinkers [55, 62]. More training for improving counselling skills [49, 78] and feedback on successful cases [71] were reported as facilitators.
Opportunity (COM-B component 3)
The 17 themes in the opportunity component of the COM-B system, which includes two TDF domains (Environmental context and resources; Social influences), emerged from 66 studies from 25 countries (Table 5). The majority of the studies (n = 33) were quantitative in design and reported data mainly from GPs alone (n = 44).
Table 5.
Themes coded to each of the TDF domains within the opportunity component of the COM-B system
| TDF | Theme | Countries | References on barriers | References on facilitators |
|---|---|---|---|---|
| Environmental context and resources | Time | UK(10); Sweden(7); Australia(5); USA(5); Finland(2); Multicountry(2); Norway(2); Slovenia(2); Canada(1); Denmark(1); Netherlands(1); New Zealand(1); Portugal(1); South Africa(1); Sri Lanka(1) | [16, 20, 23, 37, 41, 47–49, 52, 54, 58–62, 65, 67, 70–74, 78, 83, 87, 91–93, 95, 97, 99, 103, 105–107, 109, 111, 116] | [39, 43, 70, 71, 80, 92, 93, 97] |
| Support | UK(12); Multicountry(4); Canada(3); Finland(3); New Zealand(2); Norway(2); South Africa(2); Sweden(2); USA(2); Brazil(1); France(1); Italy(1); Netherlands(1); Slovenia(1); Sri Lanka(1); | [46, 47, 55–57, 61, 63, 65, 70, 71, 75, 78, 82, 83, 88, 92, 96, 101, 105, 108, 109, 112, 114] | [20, 23, 36, 37, 39, 47, 59, 60, 62, 67, 70, 71, 78, 81, 84, 92, 97, 99, 100, 105, 110] | |
| Resources | Finland(4); Sweden(3); UK(3); Australia(2); Multicountry(2); Canada(1); Netherlands(1); New Zealand(1); Norway(1); Slovenia(1); South Africa(1); USA(1) | [20, 23, 38, 41, 42, 47, 58, 63, 69, 74, 78, 83, 103, 109] | [20, 23, 37, 39, 42, 47, 55, 70, 78, 88, 92, 99] | |
| Patients’ denial of the problem and resistance to accepting treatment | Australia(2); USA(2); Brazil(1); Canada(1); France(1); Finland(1); New Zealand(1); Norway(1); Sweden(1) | [41, 52, 56, 58, 63, 65, 73, 86, 97, 112, 113] | ||
| Patients’ feelings when asked about their drinking | UK(3); Multicountry(2); USA(2); Australia(1); France(1); New Zealand(1); Slovenia(1); Sweden(1) | [20, 23, 47, 56, 71, 78, 92, 97, 103, 115] | [58, 93] | |
| Organization for preventive counselling | UK(5); Sweden(4); Slovenia(2); Australia(1); Canada(1); Finland(1); Multicountry(1); Netherlands(1); New Zealand(1); Norway(1); South Africa(1); USA(1) | [47, 52, 74, 78, 83, 89, 103, 109] | [39, 41, 54, 70, 71, 73, 76, 80, 91, 93, 97, 99] | |
| Incentives for patients | Multicountry(2); UK(2); Canada(1); Italy(1); South Africa(1) | [47, 78, 83, 88, 92, 110, 112] | ||
| Patients’ beliefs about alcohol | Finland(2); UK(2); New Zealand(1) | [37, 38, 89, 105] | [97] | |
| Patients with alcohol problems do not attend their appointments | UK(2); Denmark(1); New Zealand(1) | [49, 95, 97, 105] | ||
| Patients’ receptiveness to alcohol interventions | Australia(1); Denmark(1); New Zealand(1); Norway(1); UK(1); USA(1) | [49, 105, 116] | [58, 87, 97] | |
| Delivering SBI can make other patients suffer | Sweden(1); UK(1) | [73, 95] | ||
| Familiarity with the patient | UK(2) | [105] | [71] | |
| Social support | Patients’ feelings when asked about their drinking | UK(4); Multicountry(2); USA(2); Australia(1); Brazil(1); France(1); New Zealand(1); Norway(1); Slovenia(1); Sweden(1) | [20, 23, 47, 56, 71, 78, 88, 92, 93, 97, 99, 103, 113, 115] | [58, 93] |
| Patients’ reactions when asked about alcohol | UK(4); Sweden(3); Australia(1); Denmark(1); Finland(1); Multicountry(1); Norway(1) | [49, 70, 73, 84, 86, 89, 92, 95, 102, 105] | [41, 48, 49] | |
| Doctors’ and nurses’ permissiveness towards alcohol | UK(2); Finland(1); Multicountry(1); Sweden(1); USA(1) | [20, 23, 41, 47, 89, 115] | ||
| Patients seeking help | Finland(2); Multicountry(2); UK(2); Brazil(1); France(1) | [41, 42, 56, 113] | [23, 41, 47, 78, 92] | |
| Support | UK(8); Multicountry(3); Finland(2); Norway(2); Slovenia(2); Sweden(2); Italy(1); Netherlands(1); New Zealand(1); Sri Lanka(1) | [82, 99, 103] | [20, 23, 36, 37, 39, 47, 59, 62, 67, 70, 71, 78, 80, 84, 92, 97, 99, 100, 105, 110] | |
| Patients’ receptiveness to alcohol interventions | Australia(1); Denmark(1); New Zealand(1); Norway(1); UK(1); USA(1) | [49, 105, 116] | [58, 87, 97] | |
| Role legitimacy | Norway(1); USA(1) | [99, 115] | ||
| Presence of third parties in the consultation | New Zealand(1) | [97] |
Environmental context and resources—TDF domain no. 11
Theme: Time
GPs and nurses often cited time constraints as a barrier for implementing alcohol SBI. For some doctors and nurses, alcohol SBI was too time-consuming [72, 95, 106] and they were already too busy dealing with other problems [23, 47, 78, 83, 92, 106]. More time per consultation [39, 70, 80, 92, 97], more experience in delivering brief interventions [93], and simpler screening processes (e.g. short and simple screening tools, giving patients self-report questionnaires) [39] were reported as facilitators.
Theme: Support
Data from both qualitative and quantitative studies show that, in general, providers felt they could be working in a more supportive environment for delivering alcohol SBI. The majority of the GPs in 3 survey studies reported lack of support from government health policies [47, 78, 83]. Most GPs in 1 study from South Africa reported difficulties in referring patients for specialized services [114]; however, this was not an issue for the majority of the GPs from Canada and Sweden [70, 112]. Only 35% of the GPs in 1 UK-based study agreed that there is adequate support for GPs from specialized alcohol services [61]. Better co-operation with specialized services [20, 39, 59, 60, 80], involving other professionals in general practice (e.g. an addiction consultant or a specialized nurse) [39, 71, 105], public health educational campaigns [23, 47, 78, 99, 110] and more media attention [39, 110] were among the most commonly cited facilitators.
Theme: Resources
GPs from several countries reported lack of resources for implementing alcohol SBI. Lack of resources included lack of screening tools [20, 23, 47, 74, 78], counselling materials [20, 23, 42, 47, 78, 109] and specific guidelines [103]. Having these resources and displaying information in the waiting room (e.g. posters) were reported as facilitators in several studies [20, 23, 37, 39, 47, 55, 78, 92].
Nine other less frequently mentioned themes were linked to this TDF domain (Table 5).
Social influences—TDF domain no. 12
Theme: Patients’ feelings when asked about their drinking
Both GPs and nurses in 6 qualitative studies expressed their concern about negative reactions from patients when discussing alcohol issues [49, 84, 86, 89, 92, 105]. However, the majority of both doctors and nurses mentioned that this is the exception rather than the rule in 3 out of 4 studies [70, 73, 95, 102]. Experience with SBI could act as a facilitator.
Theme: Doctors’ and nurses’ permissiveness towards alcohol
Some GPs recognized that they have liberal attitudes towards alcohol. In 1 qualitative study from Finland it was pointed out that GPs are members of the community and that it is only natural that they have the same attitudes towards alcohol as their patients [41]. In 2 qualitative studies from the UK and the USA, nurses reported that societal acceptance of heavy drinking can make them hesitate to assess for alcohol in their patients [89, 115].
Six other less frequently mentioned themes were linked to this TDF domain (Table 5).
Discussion
This review identified a range of barriers and facilitators influencing GPs’ and primary care nurses’ routine delivery of alcohol SBI in adults that linked to the capability, opportunity and motivation components of the COM-B system and to all TDF domains.
The analysis linked all the TDF domains within each component of the COM-B system to at least one of the barriers identified. This suggests that increasing all aspects of capability, opportunity and motivation may be needed for successfully implementing alcohol SBI in primary health care. Furthermore, several barriers linked to more than one TDF domain suggesting that multicomponent strategies may be needed to address some barriers. For example, ‘time’ linked to the TDF domains ‘environmental context and resources’ and ‘beliefs about capabilities’. Restructuring the environment (e.g. involving receptionists in the screening process, arranging for more time per consultation) and modelling (e.g. demonstrating that advising at-risk drinkers within the time of the consultation is manageable) are examples of strategies that could be used to address this barrier. These findings highlight the challenges researchers face in studying alcohol SBI implementation in PHC and help to understand why routine delivery of alcohol SBI in PHC has been proven difficult to implement.
The analysis identified the following TDF domains as having the highest number of data units coded: ‘Environmental Context and Resources’; ‘Beliefs about Capabilities’; and ‘Skills’. Comparatively, few data units were linked to ‘Behaviour Control’, ‘Memory, Attention and Decision Processes’ and ‘Optimism’. Caution should be exerted when deciding the domains on which to intervene based on the frequency a particular barrier is reported in the literature. The behaviour change theories most commonly used in research to explain healthcare professionals’ behaviours are based on constructs related to the reflective, rather than the automatic, aspect of behaviour, which could lead to a bias in the frequency of the reported factors to behaviour change [117]. For example, the majority of studies found in this review are survey-based which provided GPs and nurses with a list of potential barriers, potentially inflating the salience of those barriers whilst neglecting others that could explain the variance of the behaviour. Therefore, it is conceivable that significant barriers to implementation linked to TDF domains with fewer data units coded are yet to be identified, which could give the misleading idea that addressing these domains are less likely to influence implementation. Huijg and colleagues developed a TDF-based questionnaire [118] that could be tailored to study these under-explored barriers and assess their importance.
In a previous review, Johnson and colleagues identified barriers and facilitators to implementing alcohol screening and brief interventions [27]. This review included studies from settings other than PHC, reported only on studies published in English, and gave priority to studies judged most likely to inform UK practice. Our review updates the Johnson et al. review concerning the barriers and facilitators to implementation in PHC. Firstly, we provide evidence on barriers and facilitators from several countries that were not limited to inform a particular practice. One recently published survey study conducted in the largest five European Union countries found that the most frequently cited barriers to implementing alcohol screening among patients with hypertension varied substantially from country to country [119]. This shows that the barriers to, and facilitators of, implementation can vary substantially, between countries that are in geographic proximity and even from place to place within countries. Country features such as individually paid vs nationally funded healthcare, educational level and buying power could influence the salience of a particular factor in the implementation efforts. Therefore, the successful implementation of alcohol SBI will be contingent to tailoring the intervention to local needs [120]. By providing a breakdown by country of study, this review could be of use in the selection of the barriers and facilitators that are more meaningful locally. Secondly, this review was informed by a theoretical framework of behaviour change. Most programmes in practice and research have lacked a theoretical rationale for how they would change practitioner behaviour [28, 121, 122]. Understanding how identified barriers and facilitators fit with the theoretical understandings of behaviour change are key to inform intervention design, and may increase the chances of successful implementation. For example, we have used the results of this review to inform the design of a novel practitioner intervention which has been trialed in Portugal [123]. Therefore, this review may also support researchers in the design of novel theory-based interventions.
Implications for the implementation of alcohol SBI
Notwithstanding the above-mentioned requirement to tailor the intervention to local needs, mapping the barriers to the components of the COM-B system and domains of the TDF framework allowed for the identification of several content themes that may prove useful in the design of future interventions. Therefore, four key recommendations are suggested based on the results of this review:
To develop training programmes for PHC staff
Both GPs and nurses identified lack of knowledge and skills as hindering factors for the routine delivery of alcohol SBI. Examples of issues that need to be considered in training programmes include the following: lack of familiarity with risky drinking guidelines, difficulties in defining low-risk drinking limits, difficulties in differentiating between harmful drinking and alcohol dependence, not knowing how to identify asymptomatic at-risk drinkers, unawareness of standardized screening tools and not knowing how to deliver a brief intervention are. Training could also be designed to address providers’ motivational issues such as lack of confidence in their ability to deliver alcohol SBI, low self-efficacy, believing that patients would resent being asked about alcohol and lack of time;
-
2.
To improve practice organization for preventive counselling
Several GPs reported that PHC practices lack systematic strategies for identifying and advising at-risk drinkers. Strategies for improving practice organization could include involving receptionists in the screening process, having nurses screening for and/or advising at-risk drinkers, and having simple to use screening tools implemented in frequently used questionnaires or registration systems;
-
3.
To provide PHC practices with materials for delivering SBI
GPs commonly reported that a lack of materials for delivering alcohol SBI is an important barrier. Providing PHC practices with guidelines, screening and advice tools and other materials for patients (e.g. posters to display in the waiting room, self-help booklets) are examples of enabling factors to routine alcohol SBI delivery;
-
4.
To involve key stakeholders in the implementation process
Many GPs and nurses reported they were not working in a supportive environment for SBI delivery. Involving PHC management, policy makers, specialized health services, media and available community resources could be key for a successful implementation of alcohol SBI in practice.
Recommendations for future research
The majority of the studies reported GPs views towards the implementation of alcohol SBI. The views of the nurses are less well studied, although they are regarded as an underutilized resource for implementing alcohol SBI. Future primary research could endeavour to better characterize the barriers and facilitators nurses face when implementing alcohol SBI in PHC.
The majority of the studies retrieved pertain to high-income countries which means that the results of this review may not be representative of barriers and facilitators in lower-income countries.
Strengths and limitations
The inclusion of both quantitative and qualitative studies from the onset of literature is a strength of this review as it provides a comprehensive understanding of the factors that influence the implementation of alcohol SBI in PHC. This does not mean that all barriers and facilitators will be relevant to all settings; implementation researchers should consider and consult on what makes sense locally. Another strength of this review is that no limitation was applied to the countries in which the study was conducted and a breakdown by country is provided. This allows researchers to directly use data from their own countries and/or to use data from countries they judge to be meaningful locally. A final strength of this review is that it was informed by a theoretical framework to guide the understanding of the barriers and facilitators. We were able to link all extracted data to the components of the COM-B system and TDF domains, providing a well-established structure to support the design of interventions for implementing alcohol SBI in PHC.
A limitation of this review is that it identified barriers and facilitators from the perspective of GPs and nurses only. GPs and nurses often cited the need to involve other PHC staff (e.g. receptionists) in the implementation efforts. Hence, knowing the views of other PHC professionals, management and patients could have been important for a thorough understanding of the factors influencing implementation. This review was limited to studies published in English, French, Portuguese and Spanish: the results do not capture factors from studies which may be published in other languages. We have not taken into account the quality of the studies included in the review whilst synthesizing the findings. However, we report our appraisal of the quality of each study (Table 1) to assist the reader in interpreting the findings. Finally, we limited our search to four databases. Other factors may emerge from searching in other databases and grey literature.
Conclusion
This study identified a wide range of potential barriers and facilitators to the implementation of alcohol SBI delivery in primary care practices and adds to the scarce body of literature that identifies the barriers and facilitators from a theoretical perspective. Given that alcohol SBI is seldom implemented, this review provides researchers with a tool for designing novel theory-oriented interventions to support the implementation of such activity.
Supplementary Information
Additional file 1. PRISMA 2009 Checklist. This file provides a completed version of the PRISMA Checklist.
Additional file 2. Electronic search strategy for the retrieval of studies from multiple databases. This file details the search strategy employed in the review.
Additional file 3. List of unobtainable full-text papers. This file details the articles that were selected for full-text analysis but that were not possible to obtain.
Additional file 4. Excluded full-text articles and references. This file details the articles that were excluded after full-text analysis.
Additional file 5. Title of data: Themes of barriers within each of the components of the COM-B system and domains of the Theoretical Domains Framework. This file details the barriers extracted after full-text analysis.
Additional file 6. Facilitators linked to the identified themes of barriers. This file details the facilitators extracted after full-text analysis.
Acknowledgements
Not applicable.
Abbreviations
- BCW
Behaviour change wheel
- COM-B
Capability-Opportunity-Motivation-Behaviour
- GPs
General practitioners
- PHC
Primary health care
- SBI
Screening and brief interventions
- TDF
Theoretical Domains Framework
Authors’ contributions
FR contributed to the study design, all data collection, coding and synthesis, and the drafting of the manuscript. MIS contributed to all data collection, coding and synthesis and reviewing the manuscript. KA assisted with the conception of the search strategy, performed the search on the databases and reviewed the manuscript. LP contributed to the study design, quality assessment of the included studies, and reviewed the manuscript. CR contributed by reviewing the manuscript. NF contributed to the study design, editing and reviewing the manuscript. The authors read and approved the final manuscript.
Funding
Not applicable.
Availability of data and materials
All data generated or analysed during this study are included in this published article (and its supplementary information files).
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Frederico Rosário, Email: fredmbr@gmail.com.
Maria Inês Santos, Email: mines.santos82@gmail.com.
Kathryn Angus, Email: kathryn.angus@stir.ac.uk.
Leo Pas, Email: lodewijkpas@gmail.com.
Cristina Ribeiro, Email: cristinamribeiro@dgs.min-saude.pt.
Niamh Fitzgerald, Email: niamh.fitzgerald@stir.ac.uk.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Additional file 1. PRISMA 2009 Checklist. This file provides a completed version of the PRISMA Checklist.
Additional file 2. Electronic search strategy for the retrieval of studies from multiple databases. This file details the search strategy employed in the review.
Additional file 3. List of unobtainable full-text papers. This file details the articles that were selected for full-text analysis but that were not possible to obtain.
Additional file 4. Excluded full-text articles and references. This file details the articles that were excluded after full-text analysis.
Additional file 5. Title of data: Themes of barriers within each of the components of the COM-B system and domains of the Theoretical Domains Framework. This file details the barriers extracted after full-text analysis.
Additional file 6. Facilitators linked to the identified themes of barriers. This file details the facilitators extracted after full-text analysis.
Data Availability Statement
All data generated or analysed during this study are included in this published article (and its supplementary information files).

