Greater than the sum of the parts: a qualitative content analysis of what constitutes a good treatment in the inpatient setting

Cosima Locher*, Sarah Buergler, Nadja Heimgartner, Helen Koechlin, Heike Gerger, Jens Gaab, Stefan Büchi

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background: The evaluation of psychotherapy is guided by established concepts, such as efficacy and effectiveness, and acceptability. Although these concepts serve as valid proxies, little is known about corresponding criteria for those directly involved in this treatment. This study aimed to explore inpatients’ and health professionals’ definitions of a good treatment in the inpatient setting. Methods: Fifteen semi-structured interviews were conducted in a private psychiatric clinic in Switzerland and structured by qualitative content analysis. Different subsamples of the inpatient setting (patients N = 5; psychiatrists N = 5; other health professionals N = 5) were interviewed. Results: In total, 546 text passages were grouped in 10 superordinate categories and identified as relevant for the concept of a good treatment. Participants stressed patient-specific (i.e., new insights; basic attitudes), treatment-specific (i.e., therapy methods and expertise; treatment success; therapy setting), and relationship-based (i.e., communication and feedback; relationships within the clinical setting; overcoming challenges and hurdles) components that are indispensable for a good therapeutic process. Components that are related to the clinical inpatient setting (i.e., setting and organization of the clinic; code of conduct) were also highlighted. Conclusions: Patients’ and health professionals’ definitions of what constitutes a good treatment entails a wide array of aspects. The clinical setting is seen to offer unique components that are emphasized to have a healing effect.

Original languageEnglish
Article number565
JournalBmc Health Services Research
Volume22
Issue number1
DOIs
Publication statusPublished - 27 Apr 2022

Bibliographical note

Funding Information:
CL received funding from the Swiss National Science Foundation (SNSF): P4P4PS_194536. Helen Koechlin is sponsored by the Swiss National Science Foundation (SNSF) fellowship P400PS_186658. The funding bodies have no role in the design of the study and collection, analysis, and interpretation of data and manuscript writing.

Publisher Copyright: © 2022, The Author(s).

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