Research on Integrated Management Path of Comorbidity Based on Grounded Theory
ABSTRACT Background This study seeks to thoroughly investigate the generation mechanism of the integrated management pathway for comorbidities, as well as its implementation and execution in practical settings. The findings aim to offer insights for the development of an integrated mechanism for com...
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Published in | Public health Nursing Vol. 42; no. 2; pp. 786 - 799 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.03.2025
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Subjects | |
Online Access | Get full text |
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Summary: | ABSTRACT
Background
This study seeks to thoroughly investigate the generation mechanism of the integrated management pathway for comorbidities, as well as its implementation and execution in practical settings. The findings aim to offer insights for the development of an integrated mechanism for comorbidity services.
Method
The collected raw data was coded and analyzed in depth by utilizing grounded theory as the research methodology, in conjunction with NVivo 14.0 software for qualitative analysis, and by adhering to domestic and international guidelines and consensus on comorbidity management.
Result
Following the three‐level coding process, a total of 49 initial categories, 14 main categories, and 4 core categories (supply‐type, demand‐type, collaboration‐type, and environment‐type) were identified. Subsequently, a four‐dimensional comprehensive comorbidities management pathway model, referred to as the “Derivative driving force—management pathway—main body network—operation mechanism,” was developed.
Conclusion
The model integrates the four paths of supply‐type, demand‐type, collaboration‐type, and environment‐type with the derived dynamics, subject network, and operation mechanism of comorbidities management. This not only enhances the comprehensiveness and continuity of comorbidities management but also establishes clear direction and evaluation indices for future empirical research. |
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Bibliography: | The project supported by the research fund of Shihezi University, ‘Coupling relationship and synergy path between regional medical higher education and health resource allocation demand under the background of big data era’ (ZZZC202148) “Research on Dynamic Monitoring and Early Warning Mechanism of High‐quality Development of Rural Education in Xinjiang” (XJ2023G211) is a postgraduate innovation project of autonomous region in 2023. Funding ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0737-1209 1525-1446 1525-1446 |
DOI: | 10.1111/phn.13487 |