Abstract

Background

Evidence on the effectiveness of Independent Supported Housing (ISH) for non-homeless people with severe mental illness primarily comes from observational cohort studies, which have high risk of bias due to confounding by time-invariant sample characteristics. The present study proposes an alternative study design known from pharmacology to overcome this bias and strengthen evidence.

Methods

We conducted a retrospective mirror-image analysis with medical records of 144 ISH service users to assess the effectiveness of ISH in reducing the number and duration of hospitalisations. Outcomes occurring in equal periods before and during ISH utilisation were compared for every ISH user. Differences between the periods were tested with incidence rate ratios (IRR).

Results

Included service users were on average 38.2 years old, female (54%) and predominately had an affective (28.5%) or a schizophrenic or psychotic (22.9%) disorder with ISH utilisation days ranging from 36–960. Fewer admissions (IRR = 0.41, 95%-CI 0.27–0.64) and fewer person-days hospitalised (IRR = 0.38, 95%-CI 0.35–0.41) were observed during ISH utilisation compared to prior to their ISH utilisation. While the reduction in psychiatric admissions may be somewhat confounded by time-variant characteristics, the substantial reduction in hospitalised bed-bays represents at least partially an intervention effect.

Conclusions

The mirror-image study design allowed for a cost-effective investigation of ISH effectiveness in reducing hospitalisation without confounding by time-invariant sample characteristics. We provide recommendations for the design’s application and suggest further research with larger samples.

Details

Title
A mirror-image analysis of psychiatric hospitalisations among people with severe mental illness using Independent Supported Housing
Author
Adamus, Christine  VIAFID ORCID Logo  ; Zürcher, Simeon Joel  VIAFID ORCID Logo  ; Richter, Dirk  VIAFID ORCID Logo 
Pages
1-10
Section
Research article
Publication year
2022
Publication date
2022
Publisher
BioMed Central
e-ISSN
1471244X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2704110056
Copyright
© 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.