MITIGATION OF DIAGNOSTIC UNCERTAINTY IN PSYCHIATRY AND MENTAL HEALTH IN PRIMARY CARE: A SCOPING REVIEW

Authors

DOI:

https://doi.org/10.18623/rvd.v23.n4.4838

Keywords:

Diagnostic Uncertainty, Mental Health, Primary Health Care, Clinical Decision-Making, Psychiatry

Abstract

OBJECTIVE: To map and analyze recent scientific evidence on the mitigation of diagnostic uncertainty in psychiatry as a core element of clinical decision-making in primary mental health care, identifying diagnostic strategies, care practices, and organizational approaches. METHODS: Scoping review conducted between December 2025 and January 2026, following Joanna Briggs Institute recommendations and reported according to PRISMA-ScR. The research question was structured using the PCC framework. Studies published in the last five years, in any language, addressing diagnostic uncertainty in primary mental health care were included. Searches were performed in PubMed, Medline, Scopus, Embase, and Cochrane Library, with complementary searches in Google Scholar. Data selection and extraction were performed independently by two reviewers. RESULTS AND DISCUSSION: Twelve studies were included. Findings indicate that mitigating diagnostic uncertainty relies on integrating diagnostic tools, collaborative and measurement-based care practices, and organizational strategies. Care practices predominated, while organizational interventions were less frequently addressed, highlighting important gaps. CONCLUSION: Reducing diagnostic uncertainty in primary mental health care requires sustained, integrated strategies combining longitudinal follow-up, structured communication, standardized assessment tools, and collaborative care models to improve clinical decision-making and diagnostic safety.

References

Bobkov, A. et al. Telepsychiatry and artificial intelligence: a structured review of emerging approaches to accessible psychiatric care. Healthcare, v. 13, n. 11, p. 1348, 2025. Available at: 10.3390/healthcare13111348. Accessed on: Jan. 29, 2026.

Dahm, M. R. et al. Communication of diagnostic uncertainty in primary care and its impact on patient experience: an integrative systematic review. Journal of General Internal Medicine, v. 38, n. 3, p. 738–754, 2022. Available at: 10.1007/s11606-022-07768-y. Acesso em: 29 jan. 2026.

D’Amico, L. N; Hanania, H; Lee, L. T. Enhancing provider mental health screening in primary care: a quality improvement project. Journal of Doctoral Nursing Practice, v. 16, n. 3, p. 196–204, 2023. Available at: 10.1891/JDNP-2022-0042. Accessed on: Jan. 29, 2026.

Derksen, C. et al. The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: systematic review and recommendations. Implementation Science, v. 20, art. 33, 2025. Available at: 10.1186/s13012-025-01445-4. Accessed on: Jan. 29, 2026.

Faisal, M. R. et al. Collaborative care in LMICs. Journal of Affective Disorders, 2024. Available at: 10.1016/j.jad.2024.07.086. Accessed on: Jan. 29, 2026.

Galvão, T. F.; Pansani, T. S. A.; Harrad, D. Principais itens para relatar revisões sistemáticas e meta-análises: a recomendação PRISMA. Epidemiologia e Serviços de Saúde, v. 24, p. 335–342, 2015. Available at: 10.5123/S1679-49742015000200017. Accessed on: Jan. 29, 2026.

Gurfinkel, D. et al. Patient perspectives of integrated behavioral health in primary care: a mixed methods analysis. Journal of Patient Experience, 2024. Available at: 10.1177/23743735241293877. Accessed on: Jan. 29, 2026.

Hunik, L. et al. Diagnostic prediction models for primary care, based on AI and electronic health records: systematic review. JMIR Medical Informatics, v. 13, e62862, 2025. Available at:10.2196/62862. Accessed on: Jan. 29, 2026.

Husain, M. I. et al. Measurement-based care to enhance antidepressant treatment outcomes in major depressive disorder: a randomized clinical trial. JAMA Network Open, v. 8, n. 9, e2529427, 2025. Available at: 10.1001/jamanetworkopen.2025.29427. Accessed on: Jan. 29, 2026.

Isaacs, A. N; Mitchell, E. K. L. Mental health integrated care models in primary care and factors that contribute to their effective implementation: a scoping review. International Journal of Mental Health Systems, v. 18, art. 5, 2024. Available at: 10.1186/s13033-024-00625-x. Accessed on: Jan. 29, 2026.

Islam, M. M. et al. Harnessing big data and predictive analytics for mental health detection in primary care: challenges and opportunities. Health, 2024. Available at: 10.1016/j.health.2024.100350. Accessed on: Jan. 29, 2026.

JBI – Joanna Briggs Institute. Evidence implementation training program. 2022. Available at: http://www.ee.usp.br/jbibrasil/cursos/evidence-implementation-training-program-eitp/. Accessed on: Jan. 29, 2026.

Kenwright, M. et al. Effectiveness of community mental health nurses in an integrated primary care service: an observational cohort study. International Journal of Nursing Studies Advances, v. 6, art. 100182, 2024. Available at: 10.1016/j.ijnsa.2024.100182. Accessed on: Jan. 29, 2026.

Kellermeyer, L; Harnke, B; Knight, S. Covidence and Rayyan. Journal of the Medical Library Association: JMLA, v. 106, n. 4, p. 580, 2018. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6148615/. Accessed on: Jan. 29, 2026.

Kolding, S. et al. Estudo clínico/psiquiatria em atenção primária. Acta Neuropsychiatrica, 2024. Available at: 10.1017/neu.2024.50. Accessed on: Jan. 29, 2026.

Neulinger, B. et al. Screening tools assessing mental illness in primary care: a systematic review. European Journal of General Practice, v. 30, n. 1, art. 2418299, 2024. Available at:10.1080/13814788.2024.2418299. Accessed on: Jan. 29, 2026.

Oxford Centre for Evidence-Based Medicine. Levels of evidence. 2024. Available at: https://www.cebm.ox.ac.uk/resources/levels-of-evidence/ocebm-levels-of-evidence.Accessed on: Jan. 29, 2026.

Patel, B. et al. Navigating uncertainty in clinical practice: a structured approach. BMJ Open, 2024. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11043270/. Accessed on: Jan. 29, 2026.

Peters, M. D. J. et al. Best practice guidance and reporting items for the development of scoping review protocols. JBI Evidence Synthesis, v. 20, n. 4, p. 953–968, 2022. Available at: 10.11124/JBIES-21-00242. Accessed on: Jan. 29, 2026.

Reist, C. et al. Collaborative mental health care: a narrative review. Medicine (Baltimore), v. 101, n. 52, e32554, 2022. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803502/. Accessed on: Jan. 29, 2026.

Russell, J. et al. How is diagnostic uncertainty communicated and managed in real world primary care settings? BMC Primary Care, 2024. Available at: https://link.springer.com/article/10.1186/s12875-024-02526-x. Accessed on: Jan. 29, 2026.

Scott, I. A. et al. Coping with uncertainty in clinical practice: a narrative review. Medical Journal of Australia, v. 218, n. 9, p. 418–425, 2023. Available at: 10.5694/mja2.51925. Accessed on: Jan. 29, 2026.

Tricco, A. C. et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of Internal Medicine, v. 169, n. 7, p. 467–473, 2018. Available at: 10.7326/M18-0850. Accessed on: Jan. 29, 2026.

Vogel, M. et al. A systematic review and meta-analysis of transdiagnostic interventions for common mental disorders in primary care. General Hospital Psychiatry, v. 91, p. 167–179, 2024. Available at: 10.1016/j.genhosppsych.2024.11.003. Accessed on: Jan. 29, 2026.

Zhou, A. Y. et al. Investigating the links between diagnostic uncertainty, emotional exhaustion, and turnover intention in general practitioners working in the United Kingdom. Frontiers in Psychiatry, v. 13, art. 936067, 2022. Available at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.936067/full. Accessed on: Jan. 29, 2026.

Downloads

Published

2026-02-11

How to Cite

Gomes, N. P., Pezzi Junior, S. A., Santana, E. S. de, Leal, B. S., Rassy, A. E., Braga, J. V. G., … Gonçalves, R. T. (2026). MITIGATION OF DIAGNOSTIC UNCERTAINTY IN PSYCHIATRY AND MENTAL HEALTH IN PRIMARY CARE: A SCOPING REVIEW. Veredas Do Direito, 23, e234838. https://doi.org/10.18623/rvd.v23.n4.4838