Evidence map›Paper›PMID 26303903›Full record

ArticleCommunity mental health journal2016

Risk Factors for Inpatient Psychiatric Readmission: Are There Gender Differences?

Katherine Rieke, Corey McGeary, Kendra K Schmid, Shinobu Watanabe-Galloway

Abstract read
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In one paragraph

Article in Community mental health journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
  6. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Katherine RiekeDepartment of Epidemiology, University of Nebraska Medical Center, 984395 Nebraska Medical Center, Omaha, NE, 68198-4395, USA. katherine.rieke@unmc.edu.
Corey McGearyCHI Health, Omaha, NE, USA.
Kendra K SchmidDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA.
Shinobu Watanabe-GallowayDepartment of Epidemiology, University of Nebraska Medical Center, 984395 Nebraska Medical Center, Omaha, NE, 68198-4395, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objectives of the study were to compare characteristics of women and men discharged from an inpatient psychiatric facility and to identify gender-specific risk factors associated with 30-day and 1-year readmission using administrative data. The sample included adults discharged from an inpatient psychiatric facility in a Midwestern city (N = 1853). The analysis showed that the 30-day readmission rate was significantly lower among women, but there was no difference in the 1-year readmission rate. Risk factors for readmission differed by gender. For example, for 30-day readmission, being on Medicare versus commercial insurance increased the odds for women (OR 3.08; 95 % CI 1.35-7.04) and taking first-generation antipsychotics versus no antipsychotics increased the odds for men (OR 2.09; 95 % CI 1.26-3.48). These findings suggest there are important differences between women and men readmitted to an inpatient psychiatric facility. Future strategies need to take into account gender-specific risk factors in order to improve long-term patient outcomes.

Indexed as

AdultFemaleHumansMaleMental DisordersMiddle AgedPatient ReadmissionRisk FactorsSex FactorsTime FactorsYoung AdultAdultGenderInpatient admissionPsychiatric readmission

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.