Evidence map›Paper›PMID 23430287›Full record

ArticleThe journal of behavioral health services & research2013

Hospital readmission among medicaid patients with an index hospitalization for mental and/or substance use disorder.

Tami L Mark, Tami Mark, Karen Smoyer Tomic, Niranjana Kowlessar, Bong Chul Chu, Rita Vandivort-Warren, Shelagh Smith

Erratum issuedAbstract read
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In one paragraph

Article in The journal of behavioral health services & research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Substance Use Disorder Treatment Outcomes: Methodological Overview of Metrics and Criteria.International journal of methods in psychiatric research · 2025
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  16. Predictors of Length of Hospitalization and Impact on Early Readmission for Mental Disorders.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Tami L MarkTruven Health Analytics, 7700 Old Georgetown Road, Ste GSO, Bethesda, MD 20814, USA. tami.mark@truvenhealth.com
Tami Mark
Karen Smoyer Tomic
Niranjana Kowlessar
Bong Chul Chu
Rita Vandivort-Warren
Shelagh Smith

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital readmission rates are increasingly used as a performance indicator. Whether they are a valid, reliable, and actionable measure for behavioral health is unknown. Using the MarketScan Multistate Medicaid Claims Database, this study examined hospital- and patient-level predictors of behavioral health readmission rates. Among hospitals with at least 25 annual admissions, the median behavioral health readmission rate was 11% (10th percentile, 3%; 90th percentile, 18%). Increased follow-up at community mental health centers was associated with lower probabilities of readmission, although follow-up with other types of providers was not significantly associated with hospital readmissions. Hospital average length of stay was positively associated with lower readmission rates; however, the effect size was small. Patients with a prior inpatient stay, a substance use disorder, psychotic illness, and medical comorbidities were more likely to be readmitted. Additional research is needed to further understand how the provision of inpatient services and post-discharge follow-up influence readmissions.

Indexed as

MedicaidAdolescentAdultAgedDatabases, FactualFemaleHumansMaleMental DisordersMiddle AgedModels, StatisticalPatient ReadmissionQuality Indicators, Health CareSubstance-Related DisordersUnited StatesYoung Adult

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.