Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 10 appraisals
BMJ global health
A systematic review of MHPSS interventions targeting non-clinical Arabic-speaking refugees and/or displaced populations in the MENA region
BACKGROUND: Arabic-speaking refugees and displaced populations in the Middle East and North Africa (MENA) face ongoing adversity that negatively impacts their mental health. Despite increasing mental health needs, there is no published systematic review evaluating non-clinical mental health and psychosocial support (MHPSS) interventions in the MENA region for this population, particularly through a culturally grounded framework. METHODS: We conducted a systematic review of MHPSS interventions published from 2011 to 2022 targeting non-clinical Arabic-speaking adult refugees and/or displaced persons in MENA countries. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines and PROSPERO registration (CRD42023421057), we searched ten databases and grey literature sources. Objectives were to identify, appraise and synthesise eligible MHPSS interventions and assess their alignment with the Integrative Complexity (IC)-Adaptation and Development After Persecution and Trauma (ADAPT) framework. Studies were appraised using four validated quality assessment tools and a novel tool assessing links to the IC-ADAPT framework, which integrates an eco-psycho-social model (ADAPT) and a cognitive-interactionist model (IC). A subset of ten top-rated interventions was synthesised for IC-ADAPT alignment. RESULTS: Thirty-eight studies met the inclusion criteria. Most interventions were conducted in Lebanon or Jordan, group-based and delivered by non-specialist facilitators in community settings. Parenting, resilience-building and trauma-focused therapies were the most common modalities. Most studies prioritised feasibility and effectiveness over efficacy. While none explicitly applied IC-ADAPT, several implicitly aligned with its eco-psychosocial systems (eg, bonds/networks, safety/security and roles/identities) and IC (eg, increased 'differentiation'), reporting reduced harsh parenting and improved reflective capacity. Culturally adapted interventions that promoted complex thinking, relational healing and community participation were linked with more favourable outcomes. CONCLUSION: This review highlights the value of culturally sensitive, non-clinical MHPSS interventions in enhancing mental health outcomes for Arabic-speaking refugee populations in MENA. Programmes grounded in eco-psychosocial and cognitive complexity frameworks-such as IC-ADAPT-offer effective, scalable strategies for addressing refugee mental health. Future work should embed these models explicitly to optimise intervention design, relevance and impact. PROSPERO REGISTRATION NUMBER: CRD42023421057.
31 July 2026
Read appraisal →PloS one
Development of a scale for measuring the perception of artificial intelligence among mental health consumers
BACKGROUND: Artificial Intelligence (AI) has emerged as a transformative force revolutionizing various sectors, including healthcare, particularly the mental health field. However, the acceptance and integration of AI technologies in different healthcare systems can be influenced by various factors, including cultural, social, and individual aspects. Nevertheless, there is a need for a valid and reliable tool for assessing AI's perception among healthcare consumers. AIM: To develop and validate a tool for the perception of AI among healthcare consumers and apply the tool to assess AI's perception among mental health consumers in the Jordanian healthcare system. METHOD: A cross-sectional descriptive correlational design was utilized in the study. Data was collected from a convenience sample of 431 mental health consumers visiting mental health clinics of the International Medical Corps and university hospitals in Jordan. Structured interviews were conducted using an AI Perception (AIP) questionnaire developed by the authors. The questionnaire's content validity was assessed by an expert panel. Using Principal Component Analysis (PCA), the construct validity of the tool was evaluated, and its internal consistency was examined using Cronbach's alpha. Descriptive statistics were used to assess the levels of AI perception among participants. RESULTS: The final AIP tool consisted of 20 items across 4 domains and has demonstrated strong internal consistency across its four domains: AI acceptance and readiness (α = 0.92), AI perceived importance (α = 0.92), AI perceived risk (α = 0.9), and AI perceived challenges (α = 0.85). The construct validity of the four-domain structure of the tool was supported by PCA. Additionally, the mean scores for each domain indicated the average level of agreement with AI perception items among participants. Specifically, the mean score for AI acceptance and readiness was [Formula: see text]). AI perceived importance was (2.18 [Formula: see text]0.83), AI perceived risk was (2.58[Formula: see text]0.92), and AI perceived challenge was (2.78 [Formula: see text] 0.87). CONCLUSION: The findings of this study resulted in developing a valid and reliable 20-item tool to assess AI's perception among mental health consumers. The tool can be used to assess the predictors of AI's readiness among mental health consumers. Therefore, aiding policymakers and other stakeholders in understanding the AI adoption barriers from the perspective of end-users. In addition, this study developed the AIP tool that can be validated and used among other populations in future research.
31 July 2026
Read appraisal →BMC medical research methodology
Digital focus groups in healthcare interventions: A reflexive methodological analysis of how socio-technical and relational factors co-produce qualitative data.
BACKGROUND: Digital focus groups are increasingly used in health research, yet their methodological implications within complex interventions remain insufficiently examined. When conducted with pre-existing cohorts, digital focus groups may function not only as evaluative tools but also as relational and socio-technical encounters that shape the generation of qualitative data. The goal of the present study was to examine how digital focus groups operate within this context. METHODS: This study presents a methodological re-analysis of focus group material originally collected for the evaluation of a hybrid psychosocial prevention intervention, examining how digital focus groups operate within this context following the perspective of Situational Analysis. Digital focus groups were conducted with participants who had completed the hybrid intervention together in fixed cohort groups, meaning participants were already acquainted with one another prior to the focus group sessions. For the analysis, the transcripts were examined using descriptive, inductive coding. Verbatim quotations were used as methodological markers to illustrate how relational, emotional and technological factors shaped the data. RESULTS: Pre-existing cohort cohesion strongly influenced how participants engaged in the digital setting, fostering emotional safety, peer-supported learning, motivational reinforcement and opportunities for self-regulation. Digital platforms structured visibility, turn-taking and synchronization, while differences in devices, connectivity and digital literacy affected participation and the stability of group interaction. The researcher role expanded to include facilitation, technical troubleshooting and emotional anchoring, making the research team part of the socio-technical infrastructure. At times, the focus groups elicited supportive or motivational effects that echoed elements of the intervention itself, blurring the line between evaluation and unintended interventional effects. CONCLUSIONS: Focus groups in intervention research operate as relational encounters rather than neutral data-collection tools. This applies particularly to Digital Focus Groups. Recognizing how pre-existing relationships, technological environments and researcher involvement shape interaction is essential for methodological transparency and rigorous interpretation. The findings highlight the importance of reflexivity, attention to digital differences, and awareness of unintended interventional dynamics when designing and interpreting digitally mediated qualitative methods in healthcare contexts. Furthermore, the findings indicate that the choice between digital and in-person FGs should not be guided by pragmatic considerations alone, but by the relational, technological and institutional conditions of the research situation. TRIAL REGISTRATION: DRKS-ID: DRKS00033080 (registration date: December 7, 2023).
13 July 2026
Read appraisal →Depression and anxiety
Tree Imagery in Drawing Tests for Screening Mental Disorders: A Systematic Review and Meta-Analysis
Although tree imagery in projective drawing tests is a promising nonverbal tool for screening mental disorders, its clinical utility remains constrained by inconsistent predictor selection. To address this gap, the present systematic review and meta-analysis synthesizes the characteristics of tree imagery linked to mental disorders and evaluates their predictive efficacy. Following the PRISMA guidelines, we analyzed 42 studies involving 8552 participants from English and Chinese databases published between 1948 and 2024. The results showed that 24 specific characteristics significantly predicted mental disorders (p < 0.05), which were classified into five distinct categories: blackened out (e.g., blackened tree, odds ratio [OR] = 2.01), scribbled lines (e.g., weak lines, OR = 2.82), oddly shaped (e.g., flattened crown, OR = 3.10), no vitality (e.g., very small tree, OR = 3.93), and overly simple (e.g., simplified drawing, OR = 7.07). Furthermore, subgroup analyses indicated that features such as "blackened tree" (OR = 1.71), "no motion" (OR = 3.34), and "excessive separation" (OR = 2.77) were significantly associated with affective disorders, whereas the presence of "roots" (OR = 4.89) was uniquely associated with the thought-disorder subgroup. Ultimately, tree imagery may offer a valuable nonverbal, adjunctive approach to screening for mental disorders, offering several statistically supported indicators that may effectively complement traditional assessment tools.
13 July 2026
Read appraisal →Depression and anxiety
A Systematic Review of Community Pharmacy-Led Depression Services: Service Components, Outcomes, and Implementation Barriers and Facilitators
BACKGROUND: Depression is the most common mental ill health condition, and its prevalence is increasing. Despite this, its treatment is variable often due to a lack of capacity within healthcare systems to support this vulnerable population. Community pharmacy staff could offer additional support. This systematic review identifies depression services led by community pharmacy staff, their service components, outcomes, and barriers/facilitators to their implementation. METHODS: Four bibliographic databases were searched (Medline, EMBASE, PsycINFO, and CINAHL) from 2000 onwards. Title/abstract and full-text screening was conducted. Data on the service components were mapped to the Template for Intervention Description and Replication (TIDieR). Clinical, humanistic, economic, and service outcomes were charted. Barriers and facilitators were mapped to the Consolidated Framework for Implementation Research (CFIR). Quality assessment was performed using the Quality Assessment with Diverse Studies (QuADS) tool. RESULTS: Fifty studies were included. Seventeen studies identified general attitudes regarding community pharmacy services for depression, which were generally supportive. The majority (n = 33) explored an implemented depression service focusing on depression advice/education (n = 15), screening (n = 12), medication adherence (n = 4), medication review (n = 1), and disease therapy management (DTM) (n = 1). Clinical outcomes were the most commonly reported types of outcomes, with varied results. Key facilitators were linked to the pharmacy 'inner setting', including accessibility of community pharmacies, the use of private consultation rooms, and skills/training of staff. Barriers to service delivery related often to the external 'outer setting', especially societal stigma, low public awareness of pharmacy roles, funding constraints, and limited collaboration with other healthcare professionals. CONCLUSION: This international review identified a range of different services that community pharmacy staff can deliver to support people with depression, ranging from supporting diagnosis, health literacy, and management plans. The accessibility of community pharmacies for depression service delivery warrants further investigation. However, limited empirical evidence of clinical and economic outcomes and reported implementation barriers may complicate broader implementation.
13 July 2026
Read appraisal →BMJ open
Determinants of cervical screening in Ghana: a systematic review
BACKGROUND: Cervical cancer remains a leading cause of morbidity and mortality among women in Ghana, yet screening coverage is extremely low and organised national programmes are limited. Although several studies have examined determinants of screening, no comprehensive synthesis has summarised the evidence to guide effective policy and intervention design. OBJECTIVE: To synthesise existing evidence on determinants of cervical screening in Ghana and identify opportunities to strengthen national screening strategies. DESIGN: This is a systematic review conducted following Aromataris and Pearson's methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Searches across PubMed Central, CINAHL, Web of Science, Scopus and grey literature (January 2000-July 2025) identified studies reporting barriers and facilitators of cervical screening in Ghana. Risk of bias was assessed using standard appraisal tools. SETTING: This study was conducted in the context of Ghana. RESULTS: Of 7833 records screened, 32 studies met inclusion criteria. Barriers to cervical screening spanned individual, interpersonal, health system, socio-cultural and structural factors, including poor knowledge, fear, limited access, financial constraints and social norms. Facilitators included knowledge and awareness, provider recommendation, social support, positive health perceptions, healthcare access and cost-related enablers. Overall, 23 studies were rated low risk of bias, while nine were rated moderate risk of bias. CONCLUSION: Cervical screening behaviour in Ghana is influenced by structural, cultural, psychological and informational factors. The reviewed evidence suggests that these determinants do not operate in isolation but interact in ways that may vary across contexts and populations. OSF REGISTRATION NUMBER: https://doi.org/10.17605/OSF.IO/M4XKT.
11 July 2026
Read appraisal →JMIR aging
Smart Speaker-Based Applications to Support Social Connectedness in Older Adult Residents in Affordable Housing: User-Centered Design Study
BACKGROUND: Older adults in affordable housing face heightened risks of social isolation and loneliness due to limited social networks, transportation barriers, chronic conditions, and inadequate technology access. Smart speakers offer potential for enhancing social connectedness in this underserved population, yet technology interventions are rarely designed with meaningful input from older adults themselves. User-centered design (UCD) approaches can address this gap by engaging end users throughout the development process to ensure technology solutions align with their needs and living contexts. OBJECTIVE: This study aimed to engage older adults in affordable housing in an iterative UCD process to develop prototype scenarios for smart speaker-based applications that promote social connectedness while addressing safety, community-building, and wellness needs. METHODS: We conducted a 3-stage UCD study with 29 older adults (mean age 70, SD 6.8 years; 23/29, 79% African American; 20/29, 69% high school education or less) living alone in affordable housing between April 2021 and April 2022. Stage 1 included 5 focus groups (n=25) combining needs assessment discussions with rapid brainstorming activities. Stage 2 involved research team synthesis of focus group transcripts and brainstorming data to create a Design Strategies Map, development of initial prototype scenarios, 5 evaluation focus groups (n=18) to gather feedback, and iterative scenario refinement. Stage 3 comprised 4 validation focus groups (n=17) to assess refined scenarios and identify implementation recommendations. Participants included both smart speaker users (n=13) and nonusers (n=16). Data were analyzed using thematic analysis for needs assessment, content analysis for brainstorming ideas and feedback, and matrix analysis for systematic comparison across scenarios. RESULTS: Participants generated 153 ideas for smart speaker use, with Health and Safety and Daily Assistance being the most frequent categories. Analysis revealed that social connection needs were inseparable from safety concerns related to living alone. Through iterative co-design, we developed 7 prototype scenarios across 4 functional categories: Checking-In (peer and management safety verification with privacy controls), Social Companion (conversational artificial intelligence-based companionship and emotional support), Community Involvement (virtual bulletin boards and activity coordination), and Wellness Check (system-initiated monitoring of activity and behavioral patterns as health indicators with user-controlled interventions). Participants emphasized requirements for personalization, opt-in/opt-out controls, "Do-Not-Disturb" functionality, and safeguards preventing replacement of human connection. CONCLUSIONS: Older adults in affordable housing engaged in technology design and provided valuable insights that challenge assumptions about their needs and preferences. The prototype scenarios addressed the dual imperatives of social connection and safety while living alone, offering a foundation for developing technology-based applications tailored to underserved populations. Implementation should prioritize user control, privacy protection, and human-in-the-loop design ensuring that technology facilitates rather than replaces human connection and community programming, alongside consideration of user characteristics to build trust and ensure effective, sustained use of the intended technology platform.
9 July 2026
Read appraisal →European journal of pediatrics
Feasibility of image-based 3D avatar anthropometry assessment of pediatric obesity: a pilot study.
UNLABELLED: The purpose of this study is to evaluate the feasibility and validity of 3D avatar-based anthropometry for assessing anthropometric indicators of overweight and obesity in children based on artificial intelligence-derived 3D body reconstruction. This cross-sectional study included 171 children aged 8-10 years from five primary schools in southern Spain. Due to technical constraints of the reconstruction software, 75 children meeting predefined image quality and body weight requirements (≥ 30 kg) were eligible for 3D avatar analysis. Manual anthropometric measurements were obtained following International Society for the Advancement of Kinanthropometry (ISAK) standards and compared with avatar-derived circumferences. Agreement was assessed by using Wilcoxon tests, Spearman correlations, Bland-Altman analyses, and false discovery rate-adjusted comparisons. Avatar-derived circumferences were consistently greater than manual measurements, although waist-to-hip and waist-to-stature ratios demonstrated no significant differences. Avatar and manual circumferences were moderately to strongly correlated (Spearman's ρ = 0.62-0.72; adjusted p < 0.05). However, the mean absolute errors ranged from 6.21 to 7.11 cm, and Bland-Altman analysis revealed systematic overestimation with wide limits of agreement, particularly for waist and hip circumferences. Despite these discrepancies, both methods similarly discriminated between weight status categories. CONCLUSION: Image-based 3D avatar anthropometry is a feasible, noninvasive approach for population-level screening and research in pediatric settings. Although the system reliably captures relative differences and body proportions, its current accuracy is insufficient for individual-level clinical assessment. Further algorithmic refinement and validation in lighter and more diverse pediatric populations are needed before clinical implementation. WHAT IS KNOWN: • Childhood obesity remains a major public health challenge requiring accurate monitoring. • Anthropometric assessment still relies mainly on manual measurements, while AI-based 3D body modeling offers a promising non-invasive alternative. WHAT IS NEW: • Image-based 3D avatar anthropometry is feasible in school settings but is constrained by technical requirements. • Avatar measurements are correlated with manual anthropometry and preserve weight status discrimination but demonstrate systematic overestimation and limited agreement.
29 June 2026
Read appraisal →JMIR research protocols
Cross-Cultural Perspectives on Metabolic Syndrome Management and Attitudes Toward Using Digital Health Tools in Two Distinct Populations: Protocol for a Qualitative Descriptive Study
BACKGROUND: Metabolic syndrome (MetS) is defined by the presence of at least 3 out of 5 clinical risk factors, including abdominal obesity, elevated blood pressure, high fasting glucose, elevated triglycerides, and low high-density lipoprotein cholesterol. Individuals with MetS face significantly increased risks of cardiovascular disease, type 2 diabetes, and all-cause mortality. OBJECTIVE: This study aims to explore the multilevel factors influencing individuals' engagement in self-management of MetS. Specifically, it seeks to identify key barriers and facilitators to effective self-management and to assess participants' attitudes toward the use of digital health tools in supporting disease management. METHODS: This qualitative descriptive study will be conducted at 2 international sites: the University of Memphis (United States) and King Saud bin Abdulaziz University for Health Sciences (Saudi Arabia), in collaboration with local primary care clinics. Participants will be recruited using purposive sampling with a maximum variation strategy, aiming for 20 to 30 individuals per site who meet eligibility criteria. Data will be collected through semi-structured, 60-minute one-on-one interviews. An abductive thematic analysis approach (integrating both inductive and deductive reasoning) will be used to analyze the data with NVivo 15 software. RESULTS: This study will begin participant enrollment in August 2026. Thematic analysis will be used to examine barriers and facilitators to MetS self-management and participants' views on digital health tools across 2 international sites. CONCLUSIONS: Findings will offer culturally grounded insights into how social, dietary, and familial factors influence chronic disease management. This knowledge can inform the design of equitable, context-sensitive digital health interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/91903.
27 June 2026
Read appraisal →JMIR nursing
Digital Health Literacy and Attitudes Toward Telehealth Use in Practice Among Nursing Students in Saudi Arabia: Cross-Sectional Study
BACKGROUND: Nursing students are the future workforce, and their readiness to use digital health tools is important. Previous studies have focused on knowledge and attitudes; however, they have not examined the wide range of digital health literacy levels that may influence nursing students' attitudes toward using telehealth in clinical settings. OBJECTIVE: This study aimed to determine the relationship between nursing students' digital health literacy and their attitudes toward telehealth use in practice. METHODS: A cross-sectional design was used. The sample consisted of undergraduate nursing students enrolled in a Bachelor of Nursing program at a selected Saudi Arabian university. The online survey used 2 scales: the Digital Health Care Literacy Scale and the Nurses' Attitudes Toward Use of a Telehealth Scale. RESULTS: A total of 273 students participated (mean age 21.3, SD 1.9 years). Most of the nursing students demonstrated a high digital health literacy level (n=184, 67.4%; mean Digital Health Care Literacy Scale score 11.9 out of 15, SD 3.1). Digital health literacy was a significant predictor of positive attitudes toward telehealth use in practice (adjusted odds ratio 1.48, 95% CI 1.28-1.71; P<.001). Male students were significantly less likely to report positive attitudes than female students (adjusted odds ratio 0.62, 95% CI 0.39-0.97; P=.03). However, academic year, telehealth workshops, and informatics courses were not significantly associated with positive attitudes toward telehealth use in practice. CONCLUSIONS: Higher levels of literacy appear to correlate with more positive attitudes toward telehealth use in practice. However, current formal education and workshops had no apparent influence on digital health literacy. This suggests a potential need for strengthening digital training and development in nursing education. This may enhance telehealth readiness and support future digital health care delivery.
24 June 2026
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