INTEGRATING DEPRESSION SCREENING INTO FAMILY MEDICINE: STRATEGIES FOR EARLY DETECTION AND TIMELY INTERVENTION

Background: Depression is frequently underdiagnosed in family medicine, despite its high prevalence and severe consequences. This systematic review explores evidence-based strategies for enhancing depression screening and early intervention within primary care contexts. Methods: Following PRISMA 2020 guidelines, a comprehensive literature search was conducted across PubMed, Scopus, Web of Science, CINAHL, and Google Scholar. Eligible studies included adults (≥18 years), utilized structured depression screening interventions in family medicine, and reported outcomes such as detection rates, treatment initiation, and symptom reduction. Data extraction, quality appraisal, and narrative synthesis were performed. Results: Fifteen studies (including RCTs, systematic reviews, and cohort studies) met the inclusion criteria. Interventions integrating screening with structured follow-up, nurse-led assessments, or digital tools (e.g., AI screening) significantly improved detection (15–35%) and treatment initiation rates (up to 42%). Tailored protocols for specific populations, such as postpartum women and adolescents, showed increased efficacy. Multifaceted interventions were more effective than screening alone. Conclusion: Effective depression screening in family medicine requires integrated, context-aware strategies that combine screening tools with system-level supports. Training, digital solutions, and workflow redesign enhance feasibility and patient outcomes. Future implementation must address structural barriers and inequities in access to ensure scalable, high-impact mental health care.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-17
DOI
https://doi.org/10.5281/zenodo.17607606
Primary Topic
Mental Health Treatment and Access
Type
article
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article

INTEGRATING DEPRESSION SCREENING INTO FAMILY MEDICINE: STRATEGIES FOR EARLY DETECTION AND TIMELY INTERVENTION

Zenodo (CERN European Organization for Nuclear Research)
Mental Health Treatment and Access
article

INTEGRATING DEPRESSION SCREENING INTO FAMILY MEDICINE: STRATEGIES FOR EARLY DETECTION AND TIMELY INTERVENTION

article en

Abstract

Background: Depression is frequently underdiagnosed in family medicine, despite its high prevalence and severe consequences. This systematic review explores evidence-based strategies for enhancing depression screening and early intervention within primary care contexts. Methods: Following PRISMA 2020 guidelines, a comprehensive literature search was conducted across PubMed, Scopus, Web of Science, CINAHL, and Google Scholar. Eligible studies included adults (≥18 years), utilized structured depression screening interventions in family medicine, and reported outcomes such as detection rates, treatment initiation, and symptom reduction. Data extraction, quality appraisal, and narrative synthesis were performed. Results: Fifteen studies (including RCTs, systematic reviews, and cohort studies) met the inclusion criteria. Interventions integrating screening with structured follow-up, nurse-led assessments, or digital tools (e.g., AI screening) significantly improved detection (15–35%) and treatment initiation rates (up to 42%). Tailored protocols for specific populations, such as postpartum women and adolescents, showed increased efficacy. Multifaceted interventions were more effective than screening alone. Conclusion: Effective depression screening in family medicine requires integrated, context-aware strategies that combine screening tools with system-level supports. Training, digital solutions, and workflow redesign enhance feasibility and patient outcomes. Future implementation must address structural barriers and inequities in access to ensure scalable, high-impact mental health care.

Zenodo (CERN European Organization for Nuclear Research)
Washington Global Health Alliance (US), National Guard Military Academy of Ukraine (UA), Innovation Cluster (Canada) (CA), Northern Area Armed Forces Hospital (SA), King Abdulaziz Hospital (SA), University of Bisha (SA), Office of the Registrar General & Census Commissioner (IN), KIST Medical College (NP), Day Family Medicine (US), National Guard Health Affairs (SA), King Faisal University (SA), Imam Abdulrahman Bin Faisal University (SA)
Openalex Percentile: Top 37%
Mental Health Treatment and Access
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