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Psych VivasProfessional practice — epidemiology and public mental health

Psych Vivas · Professional practice — epidemiology and public mental health

Epidemiology and public mental health — structured clinical viva

Fellowship viva on prevalence interpretation, GBD metrics, prevention frameworks, treatment gap, and survey appraisal.

clinical1 min readVerification in progress

Target exams

FRANZCPMRCPsychABPNMD-DNB
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Target exams

FRANZCPMRCPsychABPNMD-DNB
Prompt
FRANZCP/MRCPsych-style viva. The examiner shows a table: 12-month prevalence of any mental disorder 20%, severe 4%, any treatment among cases 35%. A second slide shows GBD ranking of mental disorders among leading YLD causes. Follow-ups will cover Rose vs high-risk prevention, ACEs, treatment gap in LMIC vs HIC, suicide population rates vs individual prediction, and STROBE appraisal of the survey that produced the table.

Interpretation

Reveal interpretationShowHide

Table reading. Twelve-month prevalence 20% means one in five adults met criteria in the past year — not rare. Severity band 4% is the smaller group driving much specialist demand, but mild/moderate cases still generate primary care and population disability. Treatment among cases 35% implies a large treatment gap (about two-thirds untreated if "any treatment" is the coverage metric — confirm definition of treatment).[3][4]

GBD slide. High YLD ranking means mental disorders are priority disability conditions for health systems; do not conclude low importance because direct YLLs are lower than for ischaemic heart disease. Mention suicide and physical comorbidity as mortality pathways; note debates that true burden may be underestimated depending on coding boundaries.[1][2][9]

Prevention follow-up. High-risk clinic expansion helps the tail; Rose reminds that many cases arise from average-risk groups, so universal/selective measures (schools, social determinants, ACE-informed family supports) are required for population impact.[5][6]

Suicide follow-up. Population rates and WMH ideation/attempt data justify means restriction and system aftercare; individual prediction from risk factors has limited PPV at community base rates — avoid fatalism and avoid false certainty.[7]

STROBE follow-up. Ask sampling frame, response rate, instrument (CIDI version), diagnostic system, handling of missing data, and limitations before accepting the 20% figure for policy.[8]

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References9ShowHide
  1. [1]GBD 2019 Mental Disorders Collaborators Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019 Lancet Psychiatry, 2022.PMID 35026139
  2. [2]Whiteford HA, Degenhardt L, Rehm J, et al. Global burden of disease attributable to mental and substance use disorders Lancet, 2013.PMID 23993280
  3. [3]Demyttenaere K, Bruffaerts R, Posada-Villa J, et al. Prevalence, severity, and unmet need for treatment of mental disorders in the WHO World Mental Health Surveys JAMA, 2004.PMID 15173149
  4. [4]Kohn R, Saxena S, Levav I, Saraceno B The treatment gap in mental health care Bull World Health Organ, 2004.PMID 15640922
  5. [5]Rose G Sick individuals and sick populations Int J Epidemiol, 2001.PMID 11416056
  6. [6]Felitti VJ, Anda RF, Nordenberg D, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults. The ACE Study Am J Prev Med, 1998.PMID 9635069
  7. [7]Nock MK, Borges G, Bromet EJ, et al. Cross-national prevalence and risk factors for suicidal ideation, plans and attempts Br J Psychiatry, 2008.PMID 18245022
  8. [8]von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies Lancet, 2007.PMID 18064739
  9. [9]Vigo D, Thornicroft G, Atun R Estimating the true global burden of mental illness Lancet Psychiatry, 2016.PMID 26851330
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