Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees.
Journal
Schizophrenia (Heidelberg, Germany)
ISSN: 2754-6993
Titre abrégé: Schizophrenia (Heidelb)
Pays: Germany
ID NLM: 9918367987006676
Informations de publication
Date de publication:
22 Aug 2024
22 Aug 2024
Historique:
received:
17
05
2024
accepted:
06
08
2024
medline:
23
8
2024
pubmed:
23
8
2024
entrez:
22
8
2024
Statut:
epublish
Résumé
Given the chronic nature of schizophrenia, it is important to examine age-specific prevalence and incidence to understand the scope of the burden of schizophrenia across the lifespan. Estimates of lifetime prevalence of schizophrenia have varied widely and have often relied upon community-based data estimates from over two decades ago, while more recent studies have shown considerable promise by leveraging pooled datasets. However, the validity of measures of schizophrenia, particularly new onset schizophrenia, has not been well studied in these large health databases. The current study examines prevalence and validity of incidence measures of new diagnoses of schizophrenia in 2019 using two U.S. administrative health databases: MarketScan, a national database of individuals receiving employer-sponsored commercial insurance (N = 16,365,997), and NYS Medicaid, a large state public insurance program (N = 4,414,153). Our results indicate that the prevalence of schizophrenia is over 10-fold higher, and the incidence two-fold higher, in the NYS Medicaid population compared to the MarketScan database. In addition, prevalence increased over the lifespan in the Medicaid population, but decreased in the employment based MarketScan database beginning in early adulthood. Incident measures of new diagnoses of schizophrenia had excellent validity, with positive predictive values and specificity exceeding 95%, but required a longer lookback period for Medicaid compared to MarketScan. Further work is needed to leverage these findings to develop robust clinical outcome predictors for new onset of schizophrenia within large administrative health data systems.
Identifiants
pubmed: 39174558
doi: 10.1038/s41537-024-00490-0
pii: 10.1038/s41537-024-00490-0
doi:
Types de publication
Journal Article
Langues
eng
Pagination
68Informations de copyright
© 2024. The Author(s).
Références
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th Edition: DSM-5. (American Psychiatric Association Publishing, Washington DC, 2013).
Simeone, J. C., Ward, A. J., Rotella, P., Collins, J. & Windisch, R. An evaluation of variation in published estimates of schizophrenia prevalence from 1990-2013: a systematic literature review. BMC Psychiatry 15, 1–14 (2015).
doi: 10.1186/s12888-015-0578-7
Kessler, R. C. et al. The prevalence and correlates of nonaffective psychosis in the National Comorbidity Survey Replication (NCS-R). Biol. Psychiatry 58, 668–676 (2005).
doi: 10.1016/j.biopsych.2005.04.034
pubmed: 16023620
pmcid: 2847859
Pilon, D. et al. Prevalence, incidence and economic burden of schizophrenia among Medicaid beneficiaries. Curr. Med. Res. Opin. 37, 1811–1819 (2021).
doi: 10.1080/03007995.2021.1954894
pubmed: 34281472
Wu, E. Q., Shi, L., Birnbaum, H., Hudson, T. & Kessler, R. Annual prevalence of diagnosed schizophrenia in the USA: a claims data analysis approach. Psychol. Med. 36, 1535–1540 (2006).
doi: 10.1017/S0033291706008191
pubmed: 16907994
Trevethan, R. Sensitivity, specificity, and predictive values: foundations, pliabilities, and pitfalls in research and practice. Front Public Health 5, 1–7 (2017).
doi: 10.3389/fpubh.2017.00307
Pottick, K. J., Bilder, S., vander Stoep, A., Warner, L. A. & Alvarez, M. F. US patterns of mental health service utilization for transition-age youth and young adults. J. Behav. Health Serv. Res. 35, 373–389 (2008).
doi: 10.1007/s11414-007-9080-4
pubmed: 18026842
Gallagher III, B. J. Social class and schizophrenia: a review of early and recent findings in the United States. Curr. Psychiatry Rev. 14, 187–194 (2018).
doi: 10.2174/1573400514666181015115442
Davis, K. A. S., Sudlow, C. L. M. & Hotopf, M. Can mental health diagnoses in administrative data be used for research? A systematic review of the accuracy of routinely collected diagnoses. BMC Psychiatry 16, 263 (2016).
doi: 10.1186/s12888-016-0963-x
pubmed: 27455845
pmcid: 4960739