Psych · Foundations — epidemiologic methods for psychiatry
Epidemiologic methods for psychiatry
Also known as Psychiatric epidemiology methods · Incidence and prevalence · Person-time · Attributable risk · Population attributable fraction · Confounding · Effect modification · Survey sampling · Screening epidemiology · Causal inference · Standardisation of rates
Exam-exhaustive epidemiologic methods for FRANZCP and MRCPsych: frequency measures (incidence, prevalence, person-time), association and impact (RR, OR, RD, AR, PAF), bias/confounding/effect modification, survey design, screening metrics and Wilson–Jungner-style criteria, standardisation, and causal language (Hill, DAG awareness). Distinct from study-design taxonomy, pure biostat drills, and public-mental-health service planning.
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Red flags
- Using lifetime prevalence or hospital admission rates to claim current community need
- Calling a cross-sectional association causal without temporality and alternative explanations
- Reading OR as RR when the outcome is common
- Quoting PAF without causal assumptions or with naive summing of correlated factors past 100%
- Community screening claims that ignore base-rate collapse of PPV
- Adjusting for a mediator and declaring the exposure harmless
Meet the paper
In 2004 the WHO World Mental Health Survey Consortium published face-to-face interviews with 60,463 adults across 14 countries. Twelve-month prevalence of any disorder ranged from 4.3% in Shanghai to 26.4% in the United States — a six-fold spread, using the same instrument, in the same three years.[15]
So which is it: is Shanghai six times healthier, or is something in the method doing the work? That single question is the whole of this topic. Case definition, instrument version, severity threshold, recall window, response rate, cultural idiom of distress, and stigma-driven refusal all move a prevalence estimate — before any biology gets a vote.[1][15]
And the same surveys carry the number that funds services. Between 35.5% and 50.3% of serious cases in developed countries, and 76.3% to 85.4% in less-developed countries, received no treatment in the preceding 12 months. That is a treatment-gap argument built entirely on getting the denominator right.[15]
Etymology for viva gold: epidemiology is Greek epi plus demos plus logos — "the study of what is upon the people". The unit of analysis is baked into the word: it was never about one patient.[1]
References16ShowHide
- [1]Grimes DA, Schulz KF An overview of clinical research: the lay of the land Lancet, 2002.PMID 11809203
- [2]Grimes DA, Schulz KF Bias and causal associations in observational research Lancet, 2002.PMID 11812579
- [3]Grimes DA, Schulz KF Cohort studies: marching towards outcomes Lancet, 2002.PMID 11830217
- [4]Grimes DA, Schulz KF Case-control studies: research in reverse Lancet, 2002.PMID 11844534
- [5]Hill AB The environment and disease: association or causation? Proc R Soc Med, 1965.PMID 14283879
- [6]von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies Lancet, 2007.PMID 18064739
- [7]Sackett DL Bias in analytic research J Chronic Dis, 1979.PMID 447779
- [8]Rockhill B, Newman B, Weinberg C Use and misuse of population attributable fractions Am J Public Health, 1998.PMID 9584027
- [9]Greenland S, Pearl J, Robins JM Causal diagrams for epidemiologic research Epidemiology, 1999.PMID 9888278
- [10]Altman DG, Bland JM Diagnostic tests. 1: Sensitivity and specificity BMJ, 1994.PMID 8019315
- [11]Altman DG, Bland JM Diagnostic tests 2: Predictive values BMJ, 1994.PMID 8038641
- [12]Andermann A, Blancquaert I, Beauchamp S, Déry V Revisiting Wilson and Jungner in the genomic age: a review of screening criteria over the past 40 years Bull World Health Organ, 2008.PMID 18438522
- [13]Rose G Sick individuals and sick populations Int J Epidemiol, 2001.PMID 11416056
- [14]Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication Arch Gen Psychiatry, 2005.PMID 15939837
- [15]Demyttenaere K, Bruffaerts R, Posada-Villa J, et al. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys JAMA, 2004.PMID 15173149
- [16]Bossuyt PM, Reitsma JB, Bruns DE, et al; STARD Group STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies BMJ, 2015.PMID 26511519