Evidence map›Paper›PMID 22074732›Full record

ArticleInternational journal of mental health systems2011

Following up patients with depression after hospital discharge: a mixed methods approach.

Franciska A Desplenter, Gert J Laekeman, Steven R Simoens

Abstract read
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Article in International journal of mental health systems, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

Who cites it

6 citing papers in PubMed.

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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

3 authors.

Franciska A Desplenter *Research Centre for Pharmaceutical Care and Pharmaco-economics, Faculty of Pharmaceutical Sciences, Katholieke Universiteit Leuven, ON2 Herestraat 49 P.O.Box 521, 3000 Leuven, Belgium.
Gert J Laekeman *Research Centre for Pharmaceutical Care and Pharmaco-economics, Faculty of Pharmaceutical Sciences, Katholieke Universiteit Leuven, ON2 Herestraat 49 P.O.Box 521, 3000 Leuven, Belgium.
Steven R Simoens *Research Centre for Pharmaceutical Care and Pharmaco-economics, Faculty of Pharmaceutical Sciences, Katholieke Universiteit Leuven, ON2 Herestraat 49 P.O.Box 521, 3000 Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA medication information intervention was delivered to patients with a major depressive episode prior to psychiatric hospital discharge.

methodsThe objective of this study was to explore how patients evolved after hospital discharge and to identify factors influencing this evolution. Using a quasi-experimental longitudinal design, the quantitative analysis measured clinical (using the Hospital Anxiety and Depression Scale, the somatic dimension of the Symptom Checklist 90 and recording the number of readmissions) and humanistic (using the Quality of Life Enjoyment and Satisfaction Questionnaire) outcomes of patients via telephone contacts up to one year following discharge. The qualitative analysis was based on the researcher diary, consisting of reports on the telephone outcome assessment of patients with major depression (n = 99). All reports were analyzed using the thematic framework approach.

resultsThe change in the participants' health status was as diverse as it was at hospital discharge. Participants reported on remissions; changes in mood; relapses; and re-admissions (one third of patients). Quantitative data on group level showed low anxiety, depression and somatic scores over time. Three groups of contributing factors were identified: process, individual and environmental factors. Process factors included self caring process, medical care after discharge, resumption of work and managing daily life. Individual factors were symptom control, medication and personality. Environmental factors were material and social environment. Each of them could ameliorate, deteriorate or be neutral to the patient's health state. A mix of factors was observed in individual patients.

conclusionsAfter hospital discharge, participants with a major depressive episode evolved in many different ways. Process, individual and environmental factors may influence the participant's health status following hospital discharge. Each of the factors could be positive, neutral or negative for the patient.

Identifiers

PMID22074732
PMCPMC3259088

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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.