Evidence map›Paper›PMID 38570853›Full record

ReviewIsrael journal of health policy research2024

Risks for re-hospitalization of persons with severe mental illness living in rehabilitation care settings.

Uzi Nisim, Cheryl Zlotnick, David Roe, Marc Gelkopf, Efrat Shadmi

Open access · goldAbstract readReview
In one paragraph

Review in Israel journal of health policy research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Uzi NisimDepartment of Nursing, Faculty of Social Welfare and Health Sciences, University of Haifa, 199 Aba Khushi Ave, Mt Carmel, Haifa, Israel. uzinisim@gmail.com.
Cheryl ZlotnickDepartment of Nursing, Faculty of Social Welfare and Health Sciences, University of Haifa, 199 Aba Khushi Ave, Mt Carmel, Haifa, Israel.
David RoeDepartment of Community Mental Health, Faculty of Social Welfare and Health Sciences, University of Haifa, 199 Aba Khushi Ave, Mt Carmel, Haifa, Israel.
Marc GelkopfDepartment of Community Mental Health, Faculty of Social Welfare and Health Sciences, University of Haifa, 199 Aba Khushi Ave, Mt Carmel, Haifa, Israel.
Efrat ShadmiDepartment of Nursing, Faculty of Social Welfare and Health Sciences, University of Haifa, 199 Aba Khushi Ave, Mt Carmel, Haifa, Israel.
University of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high rates of psychiatric re-hospitalizations (also termed "revolving door") presents a "wicked problem" which requires a systematic and holistic approach to its resolution. Israel's mental-health rehabilitation law provides a comprehensive set of services intended to support the ability of persons with severe mental illness to rely on community rather than in-patient facilities for their ongoing care needs. Guided by the Health Behavior Model, we examined the relationship between psychiatric re-hospitalizations and the three Health Behavior Model factors (predisposing factor: socio-demographic characteristics and health beliefs; enabling factor: personal and social/vocational relationships facilitated by rehabilitation interventions and services; and need factor: outcomes including symptoms, and mental health and functional status) among persons with severe mental illness receiving rehabilitation services.

methodsLogistic regression models were used to measure the association between re-hospitalization within a year and variables comprising the three Health Behavior Model factors on the sample of consumers utilizing psychiatric services (n = 7,165). The area under the curve for the model was calculated for each factor separately and for all three factors combined.

resultsA total of 846 (11.8%) consumers were hospitalized within a year after the study began. Although multivariable analyses showed significant associations between re-hospitalization and all three Health Behavior Model factors, the magnitude of the model's area under the curve differed: 0.61 (CI = 0.59-0.64), 0.56 (CI = 0.54-0.58), 0.78 (CI = 0.77-0.80) and 0.78 (CI = 0.76-0.80) for predisposing, enabling, need and the full three-factor Health Behavior Model, respectively.

conclusionFindings revealed that among the three Health Behavior Model factors, the need factor best predicted re-hospitalization. The enabling factor, comprised of personal relationships and social/vocational activities facilitated by interventions and services representing many of psychiatric rehabilitation's key goals, had the weakest association with reduced rates of re-hospitalization. Possible explanations may be inaccurate assessments of consumers' personal relationships and social/vocational activities by the mental healthcare professionals, problematic provider-consumer communication on the consumers' involvement in social/vocational activities, or ineffective methods of facilitating consumer participation in these activities. Clearly to reduce the wicked "revolving-door" phenomenon, there is a need for targeted interventions and a review of current psychiatric rehabilitation policies to promote the comprehensive integration of community rehabilitation services by decreasing the fragmentation of care, facilitating continuity of care with other healthcare services, and utilizing effective personal reported outcomes and experiences of consumers with severe mental illness.

Indexed as

Mental DisordersHospitalizationHumansIsraelCommunity-based rehabilitation servicesHealth behavior modelSevere mental illnessUtilization of psychiatric rehabilitation

Identifiers

PMID38570853
PMCPMC10993576
OpenAlexW4393853654

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.