Evidence map›Paper›PMID 42828646›Full record

ArticleCommunity mental health journal2026

Measuring and Characterizing Psychiatric Multimorbidity Among Individuals with Mental Illness.

Paige M Shaffer, David Smelson, Laura Attanasio, Sarah L Goff, Elizabeth Bertone-Johnson, Kimberley Geissler

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Article in Community mental health journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Paige M ShafferDivision of Health Systems Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, USA. paige.shaffer@umassmed.edu.
David SmelsonDivision of Health Systems Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, USA.
Laura AttanasioSchool of Public Health and Health Sciences, Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, USA.
Sarah L GoffSchool of Public Health and Health Sciences, Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, USA.
Elizabeth Bertone-JohnsonSchool of Public Health and Health Sciences, Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, USA.
Kimberley GeisslerUniversity of Massachusetts Chan Medical School-Baystate, Springfield, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric multimorbidity, defined as the co-occurrence of two or more psychiatric diagnoses, is increasingly recognized as a marker of clinical complexity. While prior research has examined psychiatric comorbidity in selected populations or via structured diagnostic interviews, less is known about the rates of psychiatric multimorbidity as documented in administrative claims. To address this gap, this study characterizes psychiatric multimorbidity within a statewide insured population. We conducted a cross-sectional analysis of the Massachusetts All-Payer Claims Database (2016-2018) including adults aged 21-64 years with at least one psychiatric diagnosis and insured by Medicaid or commercial insurance. Psychiatric disorders were identified using ICD-10-CM codes grouped into diagnostic categories, with complete code listings provided in supplementary material. Psychiatric multimorbidity was defined as ≥ 2 distinct psychiatric diagnoses documented within a calendar year. Substance use disorder diagnoses were unavailable due to APCD redaction policies and were excluded. Logistic regression models were used to examine associations of psychiatric multimorbidity with patient characteristics. The sample included 2,409,794 person-year observations representing 653,413 unique people with mental health disorders. 68.8% of the population had only one mental health disorder, 17.4% had two mental health disorders, and 13.8% had three or more mental health disorders. In multivariable analyses, females had higher odds of psychiatric multimorbidity compared to males (adjusted Odds Ratio (aOR) = 1.23, 95% CI = 1.22,1.24), and those with any medical comorbidity had higher odds of psychiatric multimorbidity compared to people without a medical comorbidity (aOR = 1.37, 95% CI = 1.36,1.38). Medicaid enrollment was associated with higher odds of psychiatric multimorbidity compared to those with commercial insurance (aOR = 1.25, 95% CI = 1.24,1.25). Those with serious mental illness had nearly nine times the odds of having psychiatric multimorbidity (aOR = 8.92, 95% CI = 8.84,8.99) compared to people without serious mental illness. This study extends prior population-based and specialty-care research by examining psychiatric multimorbidity in a statewide insured population spanning both public and private payers. In this sample, one in three individuals with a mental illness diagnosis had psychiatric multimorbidity. Findings underscore the complexity of psychiatric presentations in clinical care, highlight greater multimorbidity among Medicaid enrollees, and point to the need for integrated and patient-centered treatment approaches. Because substance use disorders were excluded, findings likely represent conservative estimates of psychiatric multimorbidity.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.