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Call for Papers
Call for Papers
Family Medicine and Community Health (FMCH), a premier academic journal published by BMJ, is dedicated to promoting person-centred care by disseminating novel knowledge and best practices in primary care and community health. In line with this mission FMCH plans a number of specialist issues, covering a variety of cutting edge topics in the field. Below are our current special issues that are open for submissions.
Obesity and Primary Care
In primary care, healthcare providers play a key role in preventing and treating obesity, and in long-term weight management. FMCH plans to publish a special issue on Obesity and Primary Care and invites submissions of original research, commentaries, reviews, and methodology papers related to this theme from the international primary care research community.
This Special Issue seeks to explore the multifaceted role of primary care in addressing obesity. It will highlight innovative bio-behavioural intervention, treatment and management approaches, examine the challenges faced by patients and healthcare providers, and discuss future directions for obesity management in primary care settings.
Specifically, the special issue includes papers in the following three categories:
- Editorial, Special Communication, and Perspective: These papers provide critical and evidence-based insights into obesity prevention, risk assessment, intervention, treatment, and long-term care in primary care. This may include, but is not limited to, emerging pharmacological treatments, innovative behavioural intervention strategies, and the integration of technologies such as artificial intelligence (AI) in obesity management.
- Original Research and Review: These papers report original data and/or systematically analyse and synthesize evidence to answer specific research questions related to obesity prevention, risk assessment, intervention, treatment, and weight management in primary care. We welcome a wide range of topics, including but not limited to emerging therapies, digital health tools, and AI applications in obesity care.
- Methodology and Research Methods: These papers propose or describe innovative research methods for addressing obesity prevention, risk assessment, intervention, treatment, and long-term care, particularly in primary care settings. This includes novel methodology, innovative approaches, and the application of advanced technologies such as digital intervention and AI to improve obesity management.
Multimorbidity in Primary Care
Primary care plays a key role in the whole spectrum of multimorbidity management from risk assessment, prevention and treatment to rehabilitation. FMCH plans to publish a special issue on Multimorbidity in Primary Care and invites submissions of original research, commentary, review, and methodology papers related to this focus from international primary care research community.
This Special Issue seeks to explore the multifaceted role of primary care in addressing multimorbidity. It will highlight innovative intervention, treatment and management approaches, examine the challenges faced by patients and healthcare providers, and discuss future directions for multimorbidity management in primary care settings.
Topic editors: Dr. Yang Zhao, National University of Singapore and Dr. Clare MacRae, University of Edinburgh
- Editorial, Special communication and Perspective: These papers provide critical and evidence-based insights into multimorbidity prevention, risk assessment, intervention, treatment, and long-term care in primary care. This may include, but is not limited to, emerging pharmacological treatments, patient-centered intervention strategies, and innovative technologies and models in multimorbidity management.
- Original Research and Review: These papers report original data and/or systematically analyse and synthesize evidence to answer specific research questions related to burdens, determinants of multimorbidity in primary care settings, multimorbidity prevention, treatment, healthcare and management. We welcome a wide range of topics, including but not limited to the evaluation of multimorbidity patterns, implementation and effectiveness outcomes of specific interventions in multimorbidity care.
- Methodology and Research Method: These papers propose or describe innovative research methods for addressing multimorbidity prevention, risk assessment, intervention, treatment, and long-term care, particularly in primary care settings. This includes novel methodology, innovative approaches, and the application of advanced technologies such as artificial intelligence to improve multimorbidity management.
Cancer and Primary Care
Primary care plays a central role in the whole spectrum of cancer health care from risk reduction, early detection and diagnosis, treatment, to survivorship. FMCH has published a several articles as part of the special issue on Cancer and Primary Care and continues to welcome submissions of original research, commentary, review, and methodology papers related to this theme from international primary care research community.
Specifically, the special issue includes papers in the following three categories:
- Editorial, Special communication and Perspective: these papers provide critical and evidence-based insight of cancer prevention, screening, diagnosis, treatment, survivorship related to primary care.
- Original Research and Review: these papers report original data and/or systematically analyze and synthesize evidence to answer specific research questions related to cancer prevention, screening, diagnosis, treatment and survivorship related to primary care.
- Methodology and Research Method: these papers propose/describe innovative approaches to address research questions in cancer prevention, screening, diagnosis, treatment and survivorship related to primary care.
AI and Primary Care
Artificial intelligence has been increasingly used in primary care. Family Medicine Community Health (FMCH), an academic journal published by BMJ, is dedicated to promoting evidence-based and whole person-centred care and are welcoming submissions for our collection of articles focusing on the use of AI in family medicine settings to improve primary care and community health.
The first part of this collection is available here, and FMCH invites further original research, commentary, review, and methodology papers related to this focus from international primary care research community.
Specifically, the special issue includes papers in the following three categories:
- Editorial, Special communication and Perspective: these papers provide critical and evidence-based insight of artificial intelligence and big data application in primary care.
- Original Research and Review: these papers report original data and/or synthesize existing information and evidence in a systematic approach to answer specific research questions related to artificial intelligence and big data application in primary care.
- Methodology and Research Method: these papers propose/describe innovative approaches for exploring and addressing artificial intelligence and big data application in primary care, family medicine, and community health research.