JMIRx Med

PubMed-indexed overlay journal for preprints with post-review manuscript marketplace (What is JMIRx?).

Editor-in-Chief:

Edward Meinert, MA (Oxon), MSc, MBA, MPA, MPH, PhD, CEng, FBCS, EUR ING, Professor of Digital Health and Clinical Artificial Intelligence, Newcastle University, United Kingdom


JMIRx Med (ISSN 2563-6316), which has been accepted for indexing in PubMed and PubMed Central, is an innovative overlay journal to  MedRxiv and JMIR Preprints (other preprint servers are invited to join). JMIRx peer-reviews preprints and publishes their revised "version of record" with peer-review reports across a broad range of medical, clinical and related health sciences. Unlike the majority of JMIR journals, papers published in this journal do not require a digital health focus - in fact, most papers we published in the first months of the journal were related to COVID19, but we publish all research that qualifies for preprinting on MedRxiv. 

Conceived to address the urgent need to make highly relevant scientific information available as early as possible without losing the quality of the peer-reviewed process, this innovative new journal is the first in a new series of “superjournals”. Superjournals (a type of "overlay" journal) sit on top of preprint servers (JMIRx-Med serves MedRxiv and JMIR Preprints), offering peer-review and everything else a traditional scholarly journal does. Our goal is to rapidly peer review and publish a paper. All JMIRx Med papers must have originated as a preprint. 

All JMIRx Med papers are rigorously peer-reviewed, copyedited and XML-tagged. Accepted papers are published along with the related Peer Review Reports and Author Responses to Peer Review Reports, providing an additional layer of transparency to the scholarly publishing process. 

There is no Article Processing Fee directly paid by authors for this journal. JMIRx Med is envisioned as a diamond open access and Plan-P compliant journal, which enables Plan P member universities/institutions and funders to subsidize peer review of preprints and publishing in JMIRx Med. Individual PI-led labs, departments and universities can become institutional members, guaranteeing unlimited peer-review of preprints.

If you are not affiliated with a Plan P member organization, we encourage you to provide Plan P membership details to your administrator or sign up for a Principal Investigator (PI) level membership. Further details provided here.

For a limited time only, authors who opt-in during submission to receive PREreview or PeerRef community peer review for their preprint or refer us to their department head/librarian/funder contact will receive a membership-waiver and may publish the preprint in JMIRx Med at no cost to the author. Referral form provided here.

To submit a preprint to JMIRx, authors can self-nominate their existing preprints for publication (which is the equivalent to a traditional journal submission), using the minimalistic JMIRx-Med submission form that essentially only points to the preprint (the preprint needs to be unpublished and should not be under consideration by a journal).

 

Preprints that have already been peer-reviewed by third-party Plan P accredited peer-review services such as PREreview and PeerRef do not require further peer-review (at the editors' discretion). In the submission process, you can nominate your preprint for a PREreview journal club, which can be used in lieu of traditional peer-review.

 

For more details on other submission pathways (including for papers not in MedRxiv) and peer-review options see How to submit to a JMIRx journal.

For more information on JMIRx please also see our Knowledge Base article "What is JMIRx?".  

 

 

Recent Articles

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Authors' Responses to Peer-Reviews
Authors’ Response to Peer Reviews of “Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study”

This is the author(s)' response to peer review reports related to "Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world Data"

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#xHealthInformatics
Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study

Large Language Models (LLMs) have shown promise in therapeutic decision-making comparable to medical experts, but these studies have used highly curated patient data.

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Peer Reviews
Peer Review of “Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study”

This is a peer review report related to "Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world Data"

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Peer Reviews
Peer Review of “Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study”

This is a peer review report related to "Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world Data"

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#PREreview Live Review Report
Peer Review of “Interactive Evaluation of an Adaptive-Questioning Symptom Checker Using Standardized Clinical Vignettes (Preprint)”

This is a peer review report related to "Interactive Evaluation of an Adaptive-Questioning Symptom Checker Using Standardized Clinical Vignettes"

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Peer Reviews
Peer Review of “Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador From 2019 to 2021: Comparative Analysis”

This is a peer review report related to "Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador: A Comparative Analysis (2019-2021)"

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Peer Reviews
Peer Review of “Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador From 2019 to 2021: Comparative Analysis”

This is a peer review report related to "Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador: A Comparative Analysis (2019-2021)"

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Authors' Responses to Peer-Reviews
Authors’ Response to Peer Reviews of “Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador From 2019 to 2021: Comparative Analysis”

This is the author(s)' response to peer review reports related to "Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador: A Comparative Analysis (2019-2021)"

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Peer Reviews
Peer Review of “Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador From 2019 to 2021: Comparative Analysis”

This is a peer review report related to "Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador: A Comparative Analysis (2019-2021)"

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#xPublicandGlobalHealth
Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador From 2019 to 2021: Comparative Analysis

Background: The COVID-19 pandemic caused global disruptions to essential healthcare services, particularly affecting routine childhood immunization programs. Low- and middle-income countries (LMICs) were disproportionately impacted. In Ecuador, the national immunization program faced pre-existing challenges with coverage disparities across different geographical regions and socioeconomic groups before the pandemic. Objective: To analyze the impact of the COVID-19 pandemic on routine childhood vaccination coverage in Ecuador by comparing data from the pre-pandemic year (2019) with the pandemic period (2020-2021) and to identify geographical disparities in vaccination access. Methods: This retrospective observational study analyzed vaccination data from the Ministry of Public Health of Ecuador and demographic data from the National Institute of Statistics and Censuses (INEC). The study examined routine vaccination coverage for children under 24 months across all 24 provinces. A comparative analysis of coverage rates between the pre-pandemic and pandemic periods was conducted using descriptive statistics. Results: A significant decline in routine childhood vaccination coverage was observed between 2019 and 2021. Coverage for the BCG vaccine decreased from 86.4% in 2019 to 75.3% in 2021. Third-dose coverage for the pentavalent vaccine dropped from 85.0% to 68.0% over the same period. The most pronounced decline occurred in the second dose of the MMR vaccine, with coverage falling from 75.7% in 2019 to 58.4% in 2021. The most severe reductions were concentrated in the Coastal and Highland provinces. Conclusions: The COVID-19 pandemic significantly impacted routine childhood vaccination coverage in Ecuador, with sustained declines through 2021 that exacerbated existing regional disparities. The resulting coverage gaps place children at an increased risk of vaccine-preventable disease outbreaks. Urgent interventions, including targeted catch-up campaigns and health system strengthening, are necessary to restore coverage levels and enhance resilience against future health emergencies.

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Peer Reviews
Peer Review of “Development of a Conversational Artificial Intelligence–Based Web Application for Medical Consultations: Prototype Study”

This is a peer review report related to "A conversational artificial intelligence based web application for medical conversations: a prototype for a chatbot"

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Peer Reviews
Peer Review of “Development of a Conversational Artificial Intelligence–Based Web Application for Medical Consultations: Prototype Study”

This is a peer review report related to "A conversational artificial intelligence based web application for medical conversations: a prototype for a chatbot"

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Preprints Open for Peer-Review

There are no preprints available for open peer-review at this time. Please check back later.

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