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. 2022 Sep 14;79(11):1141. doi: 10.1001/jamapsychiatry.2022.2817

Errors in Terminology, Data Query, and Prevalence Rates

PMCID: PMC9475432  PMID: 36103190

In the Brief Report “Prevalence, Comorbidity, and Sociodemographic Correlates of Psychiatric Diagnoses Reported in the All of Us Research Program,”1 published Online First on April 20, 2022, and in the June issue of JAMA Psychiatry, the authors had erroneously reported disorders when they should have used the term diagnoses. In addition, their query of the All of Us database had erroneously identified 331 380 participants, but the correct number of participants with available EHR data using code developed by the All of Us workbench team was 214 206. The authors revised their analysis, as explained in their Letter,2 and report different prevalence rates for the diagnoses. The original study reported that prevalence rates among the All of Us cohort were generally lower than that of the general population. In their revised analysis, estimates for many of the diagnoses were lower than nationally representative population-based estimates, except those for mood disorders, sleep disorders, and schizophrenia. The article title, text, Tables, Figure, and Supplement have been corrected online to address these errors.

References

  • 1.Barr PB, Bigdeli TB, Meyers JL. Prevalence, comorbidity, and sociodemographic correlates of psychiatric diagnoses reported in the All of Us research program. JAMA Psychiatry. 2022;79(6):622-628. doi: 10.1001/jamapsychiatry.2022.0685 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Barr PB, Bigdeli TB, Meyers JL. Characterizing and coding psychiatric diagnoses using electronic health record data—reply. JAMA Psychiatry. Published online September 14, 2022. doi: 10.1001/jamapsychiatry.2022.2739 [DOI] [PubMed] [Google Scholar]

Articles from JAMA Psychiatry are provided here courtesy of American Medical Association

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