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The Effectiveness of Collaborative Health Management Model on Heart Failure Patient
The purpose of this study is to explore the effect of the collaborative health management model on the functional status, quality of life and rehospitalization rate of patients with heart failure. This is a three-year project. The first phase (introduction phase): A systematic literature review and meta-analysis of collaborative care and heart failure patients will be conducted, and relevant research results will be evaluated for the clinical benefits of heart failure patients, and empirical knowledge will be proposed as The basic holistic conclusions are supported by the research literature on the establishment of a collaborative health management model for heart failure (CHMM). The second stage (construction period): based on the results of systematic literature review and meta-analysis, adopt the CHMM model, design intervention measures, and conduct pilot studies to determine the safety and feasibility of the research, and review future research improvements Wherever possible, develop more complete intervention measures. The third stage (operation period): Randomized controlled trials were adopted, with random sampling and double-blind research design. In the cardiology ward of a regional teaching hospital in the south, 120 patients with heart failure who met the admission criteria were selected, and 60 patients were selected as control group. The group received routine care in the hospital, and 60 of the experimental group received interventions in the collaborative health management model. Data collection includes variables such as physiological indices, functional status, self-care behavior, quality of life, re-admission rate, medical cost. Instruments tools include Minnesota Heart Failure Quality of Life Questionnaire, European Heart Failure Self-care Behavior Scale after the intervention 1 month, 2 months, and 3 months.The intervention effect will be statistically verified and analyzed by GEE. It is hoped that this care model will be applied to the clinical
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