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Identifying Factors to Facilitate the Implementation of Decision-Making Tools to Promote Self-Management of Chronic Diseases into Routine Healthcare Practice: A Qualitative Study.
- Source :
- Healthcare (2227-9032); Sep2023, Vol. 11 Issue 17, p2397, 20p
- Publication Year :
- 2023
-
Abstract
- This study, as part of the COMPAR-EU project, utilized a mixed-methods approach involving 37 individual, semi-structured interviews and one focus group with 7 participants to investigate the factors influencing the implementation and use of self-management interventions (SMIs) decision tools in clinical practice. The interviews and focus group discussions were guided by a tailored interview and focus group guideline developed based on the Tailored Implementation for Chronic Diseases (TICD) framework. The data were analyzed using a directed qualitative content analysis, with a deductive coding system based on the TICD framework and an inductive coding process. A rapid analysis technique was employed to summarize and synthesize the findings. The study identified five main dimensions and facilitators for implementation: decision tool factors, individual health professional factors, interaction factors, organizational factors, and social, political, and legal factors. The findings highlight the importance of structured implementation through SMI decision support tools, emphasizing the need to understand their benefits, secure organizational resources, and gain political support for sustainable implementation. Overall, this study employed a systematic approach, combining qualitative methods and comprehensive analysis, to gain insights into the factors influencing the implementation of SMIs' decision-support tools in clinical practice. [ABSTRACT FROM AUTHOR]
- Subjects :
- CLINICAL decision support systems
FOCUS groups
SELF-management (Psychology)
CHRONIC diseases
RESEARCH methodology
INTERVIEWING
HUMAN services programs
QUALITATIVE research
MEDICAL protocols
DECISION making
DESCRIPTIVE statistics
RESEARCH funding
DECISION making in clinical medicine
MEDICAL practice
CONTENT analysis
DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 11
- Issue :
- 17
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 171857196
- Full Text :
- https://doi.org/10.3390/healthcare11172397