Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 21 appraisals
Rheumatic diseases clinics of North America
Sources of Bias in Clinical Artificial Intelligence and Applications in Rheumatology
Rheumatology machine-learning models are limited by preexisting, technical, and emergent biases; the interaction of data constraints, design choices, and real-world clinical workflows, rather than from isolated technical errors. Across the model lifecycle, optimization objectives can encode patterns of care, access, and documentation, producing hidden subgroup failures that are obscured by aggregate performance metrics. Given the heterogeneity of rheumatic disease and current disparities in care delivery, addressing bias requires deliberate design choices before, during, and after a model is built, as well as a commitment to transparency, and sustained oversight.
2 Aug 2026
Read appraisal →Current opinion in pediatrics
Artificial intelligence in pediatric endocrinology: clinical applications, governance, and future directions.
PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical implementation across medicine including pediatric endocrinology. This review examines artificial intelligence applications across diabetes care, obesity management, thyroid disorders, growth and puberty, and bone age assessment followed by discussion of limitations and future directions. RECENT FINDINGS: Artificial intelligence-driven tools ranging from machine learning algorithms to multimodal large language models enable personalized risk prediction, diagnostic support, and treatment optimization. Human-in-the-Loop frameworks enhance safety by integrating computational efficiency with clinician oversight. In diabetes, artificial intelligence supports glycemic forecasting, automated insulin delivery, complication screening, and digital twin modeling for therapeutic discovery. In obesity, thyroid disease, growth disorders, and bone age assessment, artificial intelligence enhances diagnostic accuracy, risk stratification, and clinical workflow efficiency. However, widespread implementation raises concerns regarding algorithmic bias, data privacy, transparency, regulatory oversight, and health equity. Addressing these limitations through explainable artificial intelligence, federated learning, and continuous performance monitoring is essential. SUMMARY: Artificial intelligence should be viewed as an augmentative tool that enhances clinical judgment in pediatric endocrinology. Preparing the next generation of pediatric endocrinologists will require intentional integration of artificial intelligence literacy into training programs, equipping clinicians to critically evaluate algorithms, interpret outputs responsibly, and participate in the ethical development of future artificial intelligence-enabled tools.
2 Aug 2026
Read appraisal →Sexual health
Digital versus clinic-based sexual health services: patterns of use and equity implications from a UK-based evaluation
BACKGROUND: Digital sexual health services have expanded rapidly in England; yet, concerns remain regarding equitable access among different population groups. We compared demographic characteristics and outcomes between online and clinic-based sexual health service users in Leicester, Leicestershire, and Rutland. METHODS: A retrospective analysis of data (April 2019-June 2023) compared online contacts, via SH:24, a UK online sexual health service providing postal sexually transmitted infection (STI) testing and remote contraception, with in-clinic attendances. Demographic variables included age, gender, ethnicity and Index of Multiple Deprivation (IMD 2019) decile, where Deciles 1-2 represent the most deprived areas. Ethnicity was recoded into Office for National Statistics categories. Reasons for attendance, contraception methods, and STI test outcomes were analysed. Risk ratios with 95% confidence intervals compared proportions between modalities. RESULTS: Online users were younger than clinic attendees (mean age, 25.1 vs 31.4 years). A slightly higher proportion of women accessed online services although gender was unrecorded in 59.1% of online attendances. White and mixed ethnicity groups were more likely to use online services than Black, Asian and 'Other' ethnic groups. Individuals living in the most deprived areas were less likely to access online services. STI testing was more frequent online (56.8% vs 43.3%), while positivity rates for infections were lower. CONCLUSIONS: Complementary to clinic-based sexual health services, online pathways provide accessible STI testing and contraception. Differences in uptake by age, ethnicity and deprivation highlight the importance of monitoring equitable access as digital provision expands. Maintaining both online and face-to-face provision is likely to remain important for equitable sexual health care.
16 June 2026
Read appraisal →PloS one
Development and validation of search hedges for Transgender and Gender Diverse (TGD) populations in Ovid MEDLINE and Ovid APA PsycInfo
INTRODUCTION: This paper describes the development and validation of highly sensitive search hedges for Ovid MEDLINE and Ovid APA PsycInfo that effectively identify literature on transgender and gender diverse (TGD) populations. METHODS: Two librarians developed the search hedges using relevant keywords and controlled vocabulary terms, building on previous work on identifying transgender populations in evidence synthesis. The hedges were tested and refined to capture diverse and expansive gender identities across cultures and disciplines. The hedges were validated for sensitivity using a gold standard set of 144 articles from the Knowsy portal of evidence syntheses tagged as Two-Spirit, transgender, or gender non-binary. To assess precision an international research team of subject experts independently screened a randomized sample of search results in a two-stage screening process with an additional screener resolving disputes. RESULTS: The final search hedges demonstrated 100% sensitivity in both MEDLINE and APA PsycInfo, identifying all 144 relevant articles from the Knowsy gold standard set. The MEDLINE search hedge achieved a 71% precision, and the APA PsycInfo hedge achieved a 67% precision. These results balance comprehensive retrieval while minimizing non-relevant articles for an efficient screening process. CONCLUSIONS: These search hedges in MEDLINE and APA PsycInfo are valuable tools for researchers and librarians to more effectively identify literature on TGD populations. These tools will be crucial for ongoing work in addressing gaps in research and health disparities faced by TGD populations and will be particularly valuable for researchers conducting evidence synthesis projects related to this population.
14 June 2026
Read appraisal →JMIR formative research
Real-World Implementation of EndoConnect in Brazilian Primary Care: Formative Study of Usability, Engagement, and Equity in Digital Endometriosis Care
BACKGROUND: Endometriosis is a chronic gynecological condition affecting approximately 10% of women of reproductive age worldwide and is associated with chronic pelvic pain, infertility, and reduced quality of life. In Brazil's Unified Health System (Sistema Único de Saúde [SUS]), diagnostic delays frequently range from 7 to 10 years and disproportionately affect socially vulnerable populations, including rural, low-income, Black, and Indigenous women. Digital health interventions have been proposed as scalable solutions; however, most available applications are developed in high-income settings and do not align with the structural and operational realities of low- and middle-income countries (LMICs). OBJECTIVE: This study aimed to evaluate feasibility, usability, acceptability, and user engagement associated with the real-world implementation of EndoConnect Alpha in primary health care settings, and to explore preliminary patterns of change in symptom burden, knowledge, and care navigation. METHODS: A single-arm, prospective, formative implementation study was conducted in 10 primary health care units in Ceará, Brazil. A convenience sample of 60 participants, including women with suspected or confirmed endometriosis and primary care professionals, used the platform over an 8-week period under real-world conditions. Usability (assessed using the System Usability Scale), acceptability (assessed using the Technology Acceptance Model), engagement metrics, and exploratory outcomes were assessed. All analyses were exploratory, with no control group and no causal inference. RESULTS: High usability and acceptability were observed, with strong user engagement, including a 79% completion rate of educational modules and consistent platform use. Observed decreases in pelvic pain and anxiety were identified, alongside increases in disease-related knowledge, self-reported therapy adherence, and reported gynecological referrals. A positive association between usability and acceptability was also observed. These findings should be interpreted as exploratory signals given the study design. Descriptive subgroup analyses suggested more pronounced trends among rural participants and those with a lower education level. CONCLUSIONS: The real-world implementation of EndoConnect Alpha demonstrated high feasibility, usability, and acceptability within a public primary care setting in a middle-income country. Observed trends suggest potential benefits, particularly among underserved populations; however, causal inference cannot be established. These findings support further controlled evaluation and highlight the relevance of equity-oriented digital health strategies tailored to LMIC contexts.
30 May 2026
Read appraisal →BMJ open
Role of community pharmacy in the prevention of cardiovascular disease in minority ethnic groups in the UK including barriers and facilitators: a mixed-methods systematic review
OBJECTIVES: To evaluate the role of community pharmacy in the prevention of cardiovascular disease (CVD) among minority ethnic groups and to identify key barriers and facilitators influencing engagement with pharmacy-based CVD prevention services. DESIGN: Systematic review using thematic synthesis to analyse both qualitative data and narratively synthesised quantitative data taking a convergent data synthesis approach. Searches were conducted from inception to 16 October 2024 across CINAHL Ultimate (EBSCOhost), EMBASE (Ovid), PubMed (NLM), Scopus (Elsevier) and Web of Science (Clarivate), supplemented by Google Scholar for grey literature and backward and forward citation tracking to identify additional studies. SETTING: Community pharmacy settings across multiple countries, including the UK and international contexts. PARTICIPANTS: Minority ethnic groups accessing community pharmacy services and community pharmacy professionals involved in delivering CVD prevention interventions. INTERVENTIONS: Community pharmacy-based CVD prevention interventions, specifically services addressing CVD risk factors. OUTCOME MEASURES: Outcomes comprised qualitative insights, including barriers and facilitators to engagement with community pharmacy-led CVD prevention services. RESULTS: Twenty-three studies met the eligibility criteria. Five overarching themes were identified: trust, systemic barriers, culturally tailored language, cultural and religious influences and family and social networks. Community pharmacies undertook varied CVD-related roles, most commonly CVD screening and diabetes management with additional contributions to smoking cessation, weight and lipid management, health promotion and medication adherence. Community pharmacies showed potential to support CVD prevention among minority ethnic groups. However, engagement was limited by language barriers, cultural beliefs, lack of trust in healthcare providers and organisational constraints such as time pressures and limited training. Facilitators included culturally tailored interventions, language concordance and strong pharmacist-patient relationships. CONCLUSIONS: Evidence from the UK remains limited, highlighting a need for further research into the role of community pharmacy in reducing CVD disparities among minority ethnic groups. International evidence suggests significant potential for pharmacy-based interventions, but improved cultural competence, targeted service design and greater awareness of determinants of equitable healthcare are essential. Future research should focus on optimising culturally responsive pharmacy-led CVD prevention strategies. PROSPERO REGISTRATION NUMBER: CRD42024579766.
29 May 2026
Read appraisal →Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
Acceptability of Using Large Language Models to Support Smoking Cessation Attempts: a Qualitative Study Among African Americans Who Smoke
INTRODUCTION: African Americans face significant disparities in tobacco-related diseases and access to smoking cessation resources. Digital health interventions using large language models (LLMs) show promise in increasing engagement and successful quit attempts. However, impressions regarding acceptability of LLM-based interventions among African Americans are unknown and evidence suggests such interventions require tailoring for underserved communities. Our goal was to evaluate perceptions of LLM-based interventions among African Americans to inform development of an LLM-based chatbot to support quit attempts. METHODS: We conducted remote focus groups with adult African Americans residing in Minnesota who smoke cigarettes to determine acceptability of LLM-based health interventions and inform the functionality of an LLM-based chatbot supporting quit attempts. Discussions followed a structured guide and were recorded to facilitate analysis. Transcripts were coded independently by two analysts with a shared codebook. RESULTS: 21 adults participated in focus group discussions. 57.1% of participants were female and the mean age was 45.6 (SD, 10.5). Three themes united participants' feedback: (1) participants limited familiarity with LLM and related AI technology, (2) willingness to use an LLM-based app to support quit attempts, and (3) perceptions of features that impact the acceptability of an LLM-based chatbot to support quit attempts. CONCLUSION: African Americans have complex perceptions and expectations regarding the use of LLMs to deliver health interventions. While many recognize the potential benefits, significant concerns and knowledge gaps remain. To build trust and acceptability, intervention developers should prioritize community engagement and ethical guidelines to ensure that LLM-driven solutions are inclusive and effective for multiple communities. IMPLICATIONS: Large language models and related AI technologies have shown promise for improving access and engagement when deployed through digital health interventions. Focus groups with African Americans who smoke combustible cigarettes revealed factors impacting the acceptability in using LLM-based interventions to support quit attempts. Efforts to build digital health interventions should prioritize community engagement to reduce apprehensions and improve alignment with community needs and values.
23 May 2026
Read appraisal →Journal of the American Heart Association
Determinants of Successful Implementation: A Mixed-Methods Evaluation of a Team-Based Telehealth Hypertension Management Program for Underserved Patients
BACKGROUND: Hypertension management using home blood pressure monitoring-guided pharmacotherapy is more effective than clinic-based care, but the benefit is attenuated in underserved patients. We evaluated implementation determinants of a team-based telehealth hypertension management program providing home blood pressure monitoring-guided pharmacotherapy and self-management and social support. METHODS: We used Exploration, Preparation, Implementation and Sustainment, and Health Equity Implementation Frameworks for semistructured interviews and inductive/deductive coding using thematic analysis of qualitative data and quantitative analysis to evaluate team-based telehealth hypertension management program implementation facilitators, barriers, acceptability, appropriateness, and feasibility. We purposefully sampled 20 patients with hypertension and 16 clinic key players from 2 safety-net clinics in North Carolina. Quantitative measures were Acceptability of Intervention Measure, Intervention Appropriateness Measure, Feasibility of Intervention Measure, Patient Assessment of Chronic Illness Care, Organizational Readiness for Implementing Change (all measures' score ranged 1-5; higher score is better). We used concurrent embedded mixed methods (qualitative + quantitative) for convergence and complementarity. RESULTS: Five qualitative themes emerged around (1) staffing barriers, coordinated teamwork, and friendly study tools; (2) the program's patient and provider centeredness; (3) ease of home blood pressure monitoring; (4) personalized, comprehensive self-management calls; and (5) social support. Patients and clinic key players found the program acceptable (mean±SD, 4.42±0.84 and 4.56±0.59), appropriate (4.42±0.86 and 4.61±0.50), and feasible (4.40±0.89 and 4.44±0.53), respectively. Patient Assessment of Chronic Illness Care and Organizational Readiness for Implementing Change scores were 4.22±1.01 and 4.11±0.78, respectively. CONCLUSIONS: Implementing a team-based telehealth hypertension management program depends on its tailoring to patients and providers and having their endorsement; a user-friendly and trust-promoting model; and having a viable financial plan. Future studies should assess clinical and cost effectiveness of the program. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT05424744.
20 May 2026
Read appraisal →PloS one
A computational text analysis of recent African digital health strategies and their attention to vulnerable populations
BACKGROUND: Digital health offers opportunities to transform healthcare systems and improve access to care, particularly in low- and middle-income countries. However, there is concern that national digital health strategies may inadequately address the needs of vulnerable populations, risking the reinforcement of existing health inequalities. OBJECTIVE: This study investigates the extent to which recent African national digital health strategies consider and prioritize vulnerable populations particularly at risk of digital exclusion (women, children and the elderly). METHODS: We conducted a computational text analysis of 13 recent national digital health strategy documents from African countries to identify major topical priorities within the strategies and to systematically assess the frequency and context of references to vulnerable populations. RESULTS: Most strategies focus on broad goals such as health system strengthening, infrastructure development, and stakeholder coordination. While there are mentions of women and children, these references are often indirect and not accompanied by concrete plans or dedicated actions. References to the elderly are especially rare. Few strategies include specific measures to ensure digital inclusion or equity for these vulnerable populations. CONCLUSIONS: Recent African digital health strategies currently prioritize systemic and infrastructural development, but the needs of vulnerable populations are often overlooked or superficially addressed. To prevent the digital divide from widening, national strategies should embed explicit equity targets, actionable plans, and mechanisms for meaningful inclusion and participation of all population groups.
20 May 2026
Read appraisal →PloS one
Implicit bias in safety-aligned large language models: A multi-faceted evaluation of clinical decision-making and health equity
BACKGROUND: Large language models are increasingly integrated into healthcare for clinical decision support and patient communication. Although these models can pass explicit social bias tests, they may retain implicit biases-latent associations between social groups and attributes-that could influence medical judgment. OBJECTIVE: To systematically evaluate the presence, magnitude, and behavioral impact of implicit biases in large language models within the medical domain across six high-stakes categories: gender, race, socioeconomic status, health conditions, religion, and healthcare systems. DESIGN: A descriptive cross-sectional study using a multi-faceted evaluation framework. SETTING(S): Computational analysis of 10 mainstream global large language models, including proprietary models (ChatGPT-4o, Gemini-2.0-Flash) and open-source models (DeepSeek-V3, Qwen3). METHODS: We constructed 24 medical bias datasets across six categories. Bias was assessed using three methods: (1) the Large Language Model Word Association Test, a prompt-based method for revealing implicit biases; (2) the Large Language Model Relative Decision Test, a strategy for detecting subtle discrimination in situational decision-making; (3) Paired-Prompt Analysis, used to examine whether implicit associations predict discriminatory decisions. RESULTS: All 10 models exhibited systematic implicit biases (Mean IAT Bias > 0) across all categories, with the strongest biases observed in Race (Mean = 0.61) and Socioeconomic Status (Mean = 0.56). Advanced reasoning capabilities (Chain-of-Thought) did not significantly reduce bias magnitude. Crucially, stronger implicit associations significantly predicted discriminatory choices in downstream medical decision tasks (p < 0.001). CONCLUSION: Current safety alignment techniques fail to eliminate implicit biases in large language models within the medical domain. These latent associations translate into biased decision-making, posing risks for health equity. Future development must prioritize representational debiasing over superficial alignment. Furthermore, healthcare professionals must embrace a stance of "AI vigilance": they should critically evaluate algorithmic outputs as fallible "second opinions" rather than objective truths, thereby ensuring that human judgment remains the ultimate safeguard for equitable patient care.
20 May 2026
Read appraisal →The New Zealand medical journal
The impact of cultural concordance between health professionals and patients: a narrative review
AIM: The aim of this article is to summarise international evidence on the impacts of cultural/ethnic concordance between patients and health professionals and to discuss the implications for New Zealand. METHOD: Database searches were conducted from August to September 2025 using Scopus, Embase and PubMed, using key terms related to health outcomes and cultural/ethnic concordance. RESULTS: A total of 25 relevant systematic reviews, meta-analyses and research studies were included for analysis. Overall, evidence is predominately from the United States of America and findings are variable. Cultural concordance is associated with improved communication quality, trust, satisfaction and perceived respect. Concordance is also associated with improved healthcare utilisation, medication adherence and uptake of preventative interventions. Some studies found concordance was associated with differences in clinical decision-making. Impact on clinical outcomes is mixed, with some studies finding concordance has a positive impact on caesarean section rates, diabetes management, surgical outcomes and addiction treatment, while others found no impact. CONCLUSION: Cultural concordance between patients and their health professionals matters, with evidence of impact on patient experience, communication quality, engagement and adherence, clinical decision-making and some clinical outcomes. Findings are inconsistent: the strength of association and groups which see the greatest benefit vary between studies. To reduce health inequities, we need to increase the diversity of the workforce and train all health professionals to provide non-racist, equitable care.
12 May 2026
Read appraisal →JMIR formative research
The Role of Trust in Text Messaging for Promoting Patient Portal Activation Among Low-Income Patients: Quality Improvement Project
BACKGROUND: The increasing reliance on patient portals for electronic health records has widened the digital health care access gap, particularly among low-income and Medicaid-insured populations. However, resources exist to assist low-income patients with portal enrollment; in obtaining a free smartphone; and, in New York, in obtaining low-cost internet. Automated bidirectional SMS text messaging offers a scalable and cost-effective strategy for identifying low-income patients' digital health needs and eligibility for resources by using screening questions and providing tailored information on how to access available resources. OBJECTIVE: This study aimed to increase portal access among low-income patients using automated bidirectional SMS text messaging and assess its feasibility and acceptability. METHODS: This quality improvement initiative involved sending automated, bidirectional SMS text messages in English to 12,381 Medicaid-insured and/or low-income patients from a primary care practice. Messages assessed patients' digital health needs and provided adaptive, personalized resources and assistance for enrolling in the patient portal and for accessing digital technology. We assessed response rates and follow-up portal enrollment rates. We surveyed participants regarding the acceptability, appropriateness, and usability of the SMS text messaging intervention, as well as their subsequent use of the patient portal. We performed descriptive statistics and a binomial probability test. RESULTS: In total, 9.2% (1140/12,381) of patients responded to the SMS text messages, with 3.9% (481/12,381) opting out and 5.3% (659/12,381) actively engaging. Among respondents, 71.1% (469/659) completed the follow-up survey. Respondents were predominantly female (336/469, 71.6%), with ages ranging from 18 to 65 years or older. Most respondents rated the message's clarity (420/469, 89.6%), its usefulness (400/469, 85.2%), and the demonstration of care by their health team (350/469, 74.6%) favorably. Concerns regarding privacy (61/469, 13%) and trustworthiness (71/469, 15%) were noted. Notably, 71% of initially unenrolled patients activated their patient portals after the intervention (P=.007), exceeding the hypothesized expectations. CONCLUSIONS: Automated bidirectional SMS text messaging had mixed effects on promoting patient portal use among low-income patients. Response rates to SMS text messages were low when delivered from an unknown phone number. Among responders, most reported that these messages were useful and that they would recommend them to others. Research is needed to determine optimal strategies for introducing the program and vendor phone numbers to patients to improve engagement.
11 May 2026
Read appraisal →JMIR human factors
Psychometric Properties of Digital Divide Measurement Instruments in Health Contexts: Systematic Review
BACKGROUND: The digital divide constitutes a growing form of social inequality, influencing access to, use of, and benefit from digital health technologies. Accurate assessment of this phenomenon requires psychometrically sound measurement instruments, especially in health care contexts. OBJECTIVE: This systematic review aimed to identify and evaluate the psychometric properties of instruments developed to measure the digital divide, with a particular focus on their application in health-related settings. METHODS: A systematic review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 and COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) guidelines. Literature searches were performed in PubMed, Scopus, Dialnet, and Web of Science for studies published between 2015 and 2025. Inclusion criteria required studies to report a psychometric evaluation of instruments measuring the digital divide. RESULTS: Four studies met the inclusion criteria (ranging from 875 to 1337 participants). The identified scales primarily measured digital skills and capital. All studies reported adequate internal consistency, with Cronbach α coefficients ranging from 0.70 to 0.94. Structural validity was confirmed through factor analysis in all studies. However, data on temporal stability and responsiveness were absent. CONCLUSIONS: Existing instruments show potential for assessing digital inequality in health, but further psychometric validation and cultural adaptation are required. Nursing professionals are encouraged to lead efforts in developing and validating context-sensitive instruments to promote digital health equity.
25 Apr 2026
Read appraisal →Journal of the American College of Cardiology
African Representation in Randomized Controlled Trials Published in Leading Medical and Cardiovascular Journals, 2019-2024
BACKGROUND: Despite accounting for a substantial proportion of the global population and disease burden, African countries are underrepresented in randomized controlled trials (RCTs), including those informing cardiovascular (CV) care. OBJECTIVES: In this study, we sought to quantify African representation in RCTs published from 2019 to 2024 in: 1) 5 leading general medical journals; and 2) 3 leading CV journals. METHODS: We conducted a systematic review of RCTs published from 2019 to 2024 in the British Medical Journal, the Journal of the American Medical Association, The Lancet, Nature Medicine, and the New England Journal of Medicine, and in Circulation, the European Heart Journal, and the Journal of the American College of Cardiology. Eligible studies included traditional, pragmatic, cluster, and stepped-wedge RCTs. African representation was assessed by trial scope (Africa-only vs multicontinental), country and regional participation, disease category, and African authorship. RESULTS: Among 2,138 RCTs published in leading general medical journals, only 83 (3.9%) were conducted exclusively in Africa, and 195 (9.1%) were multicontinental studies including at least 1 African site. In the CV journals, 2 out of 334 RCTs (0.6%) were conducted exclusively in Africa, and African sites were included in only 9 multicontinental trials (2.7%). South Africa accounted for the majority of Africa-based RCTs across both journal categories. Regionally, southern Africa predominated and central Africa was minimally represented. Trials published in general medical journals and conducted exclusively in Africa largely focused on infectious diseases (n = 63; 75.9%), with only 3 addressing cardiovascular disease (CVD). In contrast, Africa-including multicontinental trials more frequently investigated noncommunicable diseases, including CVD. African leadership was common in Africa-only trials but rare in multicontinental studies. CONCLUSIONS: African countries are profoundly underrepresented in RCTs published in the world's most influential medical and CV journals. Addressing this imbalance requires expanding African participation in global trials, investing in local research capacity, and promoting equitable leadership to strengthen the relevance and validity of clinical evidence. (Underrepresentation of African Countries in Randomized Controlled Trials: A Systematic Review of Leading General Medical and Cardiovascular Journals; CRD42024603157).
24 Apr 2026
Read appraisal →PloS one
SCGAN-generated skin-tone-balanced extension of the HAM10000 dataset for fairer dermatological AI
This dataset presents a synthetic collection of skin lesion images generated using a tone-conditioned Generative Adversarial Network (GAN) to model skin tone variation in dermatological datasets, motivated by the limited representation of darker skin tones in commonly used benchmarks. The dataset includes 10,000 images, at a resolution of 128×128 pixels, equally divided between medium and dark skin tones, with lesion class labels assigned to follow the class distribution of the original HAM10000 dataset. To quantitatively characterize the generated data, we report Fréchet Inception Distance (FID) scores and a baseline classification experiment comparing models trained on HAM10000 alone versus HAM10000 augmented with the proposed synthetic images. This work provides a controlled synthetic extension intended to support fairness-aware experimentation, data augmentation, and downstream evaluation in dermatological machine learning.
20 Apr 2026
Read appraisal →BMJ open
'It's not just diabetes': implementation enablers and barriers of an indigenous-focused virtual diabetes care clinic using the Consolidated Framework for Implementation Research (CFIR) - a qualitative assessment.
INTRODUCTION: Indigenous peoples living with diabetes face unique challenges accessing comprehensive specialty diabetes care. A small diabetes virtual care clinic oriented towards Indigenous individuals, and those in rural and remote communities, has provided care to over 400 individuals. OBJECTIVES: We characterised the distinguishing features of care provided at this clinic and used the Consolidated Framework for Implementation Research 2.0 (CFIR) to explore the enablers and barriers to implementing this model of care, from the perspective of the clinic's staff and providers. RESEARCH METHODS AND DESIGN: Guided by CFIR, we conducted eight semi-structured interviews with six clinic staff members. Deductive thematic analysis was used to identify relevant enablers and barriers. RESULTS: The aspirational features of care were cultural safety, comprehensiveness and virtual delivery. The implementation of this model of care was enabled by an internal culture of relational care; a nimble, resourceful, pragmatic and client-centred approach to virtual delivery; wayfinding and resources from key external organisations; community engagement and a small team of motivated and independent providers. Key barriers included the lack of physical interactions and uncertain or limited resources and funding. CONCLUSION: The identified enablers and barriers to implementing an Indigenous-focused virtual diabetes care clinic have implications for future interventions to improve rural Indigenous chronic disease care, and for governments and adjacent organisations tasked with meeting Canada's Truth and Reconciliation Commission's calls to action in healthcare. Further research examining the effectiveness of virtual diabetes care at this clinic is ongoing.
19 Apr 2026
Read appraisal →International journal for equity in health
Community participation in responding to health misinformation
Responses to health misinformation increasingly emphasize the importance of community engagement, yet the role of participation and power sharing remains under-theorized and inconsistently described in the peer-reviewed literature. Drawing on findings from the systematic review Overcoming Health Misinformation in Marginalized Groups, which examined 32 studies evaluating approaches to tackling health misinformation, we reflect on how the depth and quality of community participation shape trust, engagement, and intervention success. We argue that sustained partnership, shared decision-making, and local ownership enhance message credibility and reach by embedding health information within trusted social contexts. We propose strengthening equity-focused responses through structured reporting tools that center power, trust, and co-production as practical design principles rather than implementation add-ons. Making participation visible is critical if community engagement is to move beyond rhetoric and contribute meaningfully to addressing health misinformation in contexts of low institutional trust.
11 Apr 2026
Read appraisal →JMIR research protocols
Cultural Adaptation of a Digital Mobile App for Bipolar Disorder (PolarUs): Protocol for a Qualitative Co-Design Study
BACKGROUND: Bipolar disorder (BD) affects approximately 40 million people worldwide and is a chronic, potentially disabling mood disorder. Although effective treatments exist, access to evidence-informed psychosocial care remains limited, particularly for culturally and linguistically diverse populations, contributing to persistent global treatment gaps. Digital mental health interventions (DMHIs), such as smartphone apps, offer a promising means to improve access to self-management support and quality of life (QoL), an outcome prioritized by people with BD and in clinical guidelines. However, most apps for BD lack quality and are not culturally adapted or co-designed with people with BD, limiting relevance and engagement. PolarUs (mobile app) is an evidence-informed DMHI developed using co-design with people with BD. The app is structured on the core 14 domains from the Quality of Life in BD scale, the only BD-tailored scale, combined with psychoeducation on self-management strategies and QoL. A recent pilot study demonstrated promising QoL, clinical, and feasibility outcomes. OBJECTIVE: This study aims to culturally and linguistically adapt the PolarUs app into French, Chinese, and Spanish for the North American context using qualitative and co-design methods. METHODS: Guided by community-based participatory research principles, whereby end users are engaged throughout the research process, and the Ecological Validity Framework of Bernal et al, we will engage advisory groups of people with lived experience from each linguistic community throughout the cultural adaptation process. Semimonthly virtual meetings will support systematic cultural adaptation of the self-management strategies, affirmations, and resources while maintaining fidelity to core evidence-based components. This will include cultural tailoring of app content and the identification of culturally appropriate resources. Advisory groups will also contribute to the cointerpretation of findings and the co-design of culturally appropriate recruitment and implementation strategies of PolarUs for a future clinical trial. Meetings will be recorded and coanalyzed as research data with advisory groups using qualitative reflexive thematic analysis to capture advisory group perspectives and experiences. RESULTS: This study was funded in October 2024. As of January 31, 2026, we enrolled 7 participants, and the results are expected to be published in the fall of 2026. CONCLUSIONS: The findings will support the development of a culturally appropriate DMHI for BD for additional linguistic communities, advance cultural adaptation methodologies, and inform preparation for a future clinical trial. This study will produce the first culturally adapted, BD-specific DMHI developed through co-design using a community-based participatory research approach with multilingual end users from traditionally underserved communities, advancing equitable access, engagement, and scalability of DMHIs for BD and digital health care more broadly.
10 Apr 2026
Read appraisal →BMJ open
Evaluation of equity in quality improvement for multiarterial grafting in females and patients with low socioeconomic status: retrospective analysis of a statewide collaborative database
OBJECTIVES: Quality collaboratives improve quality of care at the hospital and collaborative levels, but less is understood about how such efforts affect patient-level disparities. This study evaluated how a quality improvement (QI) effort (increasing multiarterial grafting during coronary artery bypass grafting (CABG)) translated into populations which historically receive lower-quality care (females and patients of low socioeconomic status). DESIGN: Retrospective cohort study. SETTING: All non-federal hospitals in the state of Michigan that perform cardiac surgery and participate in a statewide collaborative database (n=33). PARTICIPANTS: Patients undergoing first-time, isolated CABG receiving at least two bypass grafts from 2011 to 2022 were identified. PRIMARY ENDPOINTS: Association of sex and socioeconomic status with multiarterial grafting was evaluated across the study period. The distressed community index (DCI), a socioeconomic ranking (0-not distressed, 100-severely distressed), was matched to the patient's zip code. Hierarchical regression modelling was performed to associate DCI and sex with multiarterial grafting, incorporating patient factors and hospital and surgeon effects. A sex-surgery year and DCI-surgery year interaction term was performed to assess the change in the rate of multiarterial grafting. RESULTS: A total of 40 322 patients underwent CABG at 33 centres with a median age of 66 years and 24% were female. The rate of multiarterial grafting was 15%, although lower among females (10% vs 17%) and the highest (vs lowest) DCI quartile (14% vs 18%). After risk adjustment, females were less likely to receive multiarterial grafting (ORadj 0.51 (95% CI 0.45 to 0.58), p<0.001). Patients living in zip codes with a higher DCI had lower adjusted odds of receiving multiarterial grafting (ORadj 0.35 per 10-point increase (95% CI 0.24 to 0.51), p<0.001), a finding that was independent of study time (sex-year and DCI-year interaction terms p>0.05). CONCLUSIONS: Despite a large overall increase in multiarterial grafting due to QI efforts, females and patients with low socioeconomic status had lower rates of multiarterial grafting. QI efforts should be evaluated both overall and among patients who historically receive lower quality care to improve quality and equity.
9 Apr 2026
Read appraisal →Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
A community based participatory research approach to evaluate barriers and facilitators for behavioral weight loss intervention implementation in a predominantly black community.
PURPOSE: Breast cancer survivors with overweight or obesity have worse breast cancer specific survival and outcomes as compared to those with average weight by Yung and Ligibel (Clin Adv Hematol Oncol 14:790-797, 2016) and Druesne-Pecollo et al. (Breast Cancer Res Treat 135:647-654, 2012). Our pilot Group-basEd Telehealth behavioral Weight Los (GET-WEL) Program showed that fewer Black breast cancer survivors (BBCS) enrolled and lost less weight than White breast cancer survivors by Allison et al. (Obesity Science and Practice 10:e70023, 2024). This study is aimed at using a community-based participatory research approach to assess barriers and facilitators of implementing a behavioral weight loss intervention among BBCS. METHODS: Eight BBCS from a predominantly Black community were invited to participate in semi-structured interviews that were voice recorded, transcribed, coded, and analyzed via comparative thematic analysis. RESULTS: Thematic analyses revealed multiple barriers within participants. These included lack of affordable healthy food access, safety concerns with regards to outdoor activities, lack of affordable fitness center memberships, time constraints related to competing work/life obligations, and steep learning curves with technology use. Most BBCS preferred an integrated community-based coach to guide their weight loss interventions via a combination of both virtual and in-person sessions. CONCLUSION: Our results indicate that a multimodal approach including nutrition education, reducing physical activity barriers, limiting time constraints by implementing both in-person and virtual platforms, and assisting with technology courses, is necessary to improve the equitable implementation of weight loss interventions. BBCS recommended utilizing established community facilities and leveraging known community members such as nutrition counselors and physical trainers to increase successful implementation.
6 Apr 2026
Read appraisal →JAMA health forum
Sources of Variation in Cardiovascular Care Cascades
IMPORTANCE: Variation in cardiovascular care completion is well documented. However, less is known about differences originating from earlier, intermediate stages such as ordering or scheduling of testing or referrals, despite their role as key prerequisites for care access. OBJECTIVE: To examine the care cascades for coronary artery disease (CAD) after emergency department (ED) visits and to identify the specific stages at which variation emerges for CAD testing and cardiology referrals. DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective cohort study using data and metadata from electronic health records from a large multicenter health system. Participants were adult patients with established primary care and no history of ischemic heart disease or cardiology care who presented to an ED from January 1, 2020, to June 30, 2022, and underwent a troponin test, a proxy for clinically suspected myocardial ischemia. Variation in cardiovascular follow-up care (CAD testing and cardiology referrals) was identified and analyzed. Analyses were restricted to patients with above-median electrocardiogram (ECG)-derived ischemia risk scores to enrich for higher likelihood of benefit from cardiovascular follow-up. MAIN OUTCOMES AND MEASURES: Receipt of an order for CAD testing (stress tests, coronary computed tomography angiography) or cardiology referral, scheduling of the service, and completion within 6 months. Outcomes were compared by insurance type, race and ethnicity, language, and sex using multivariable logistic regression adjusted for demographic characteristics, clinical factors, and ECG-derived cardiovascular risk. RESULTS: Among 16 475 patients with an ED visit (median [IQR] age, 67.4 [54.9-77.9] years; 36% female and 64% male individuals) and elevated cardiovascular risk, marked variation in follow-up care emerged. Compared to commercially insured patients, those with Medicare dual or disabled coverage had lower adjusted odds of completing CAD testing (adjusted odds ratio [aOR], 0.45; 95% CI, 0.36-0.56) and cardiology referrals (aOR, 0.47; 95% CI, 0.39-0.57); similar patterns were seen for Medicaid coverage. Patients whose primary language was not English were less likely to complete either service (CAD testing aOR, 0.77; 95% CI, 0.61-0.98; referral aOR, 0.75, 95% CI, 0.61-0.92), and female patients had lower adjusted odds of completing CAD testing (aOR, 0.86; 95% CI, 0.77- 0.96). Adjusted differences by race and ethnicity were modest. Variation was primarily associated with ordering differences and with additional scheduling barriers for select groups. Once scheduled, completion rates exceeded 75%, without differences between groups. CONCLUSIONS AND RELEVANCE: This retrospective cohort study found that among patients who visited the ED with elevated ischemic risk, attrition in follow-up care was concentrated early in care cascades and most pronounced among those with noncommercial health insurance. This stepwise analytic framework offers a novel, reproducible approach for health systems to identify where and for whom care gaps arise, which can enable targeted interventions to improve equity and efficiency.
5 Apr 2026
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