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 inPublic health Nursing Vol. 42; no. 2; pp. 786 - 799
Main Authors Fan, Jinhe, Fan, Jianing, Wang, Ziqi, Chen, Jieting, Jing, Mingxia
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.03.2025
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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.
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.
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ISSN:0737-1209
1525-1446
1525-1446
DOI:10.1111/phn.13487