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

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    <p>Abstract</p> <p>Background</p> <p>A medication information intervention was delivered to patients with a major depressive episode prior to psychiatric hospital discharge.</p> <p>Methods</p> <p>The 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.</p> <p>Results</p> <p>The 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.</p> <p>Conclusions</p> <p>After 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.</p
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