科技部專題研究計畫主持人
MOST-110-2410-H-227-003 -SSS
建立病人健康行為檔案分析模式於疾病管理與評估併發症發生風險:以 第二型糖尿病人為例
Using the patient health behavior profile in chronic disease management to investigate the risk of complications with determining factors among patients with type 2 diabetes
科技部
Ministry of Science and Technology
國立台北護理健康大學
National Taipei University of Nursing and Health Sciences
邱尚志
Shang-Jyh Chiou
國立台北護理健康大學
National Taipei University of Nursing and Health Sciences
邱尚志
教授
0975009890
shangjyh@ntunhs.edu.tw
計畫執行期間起:2021-08-01
計畫執行期間迄:2022-07-31
2022-01-19
2022-09-07
第二型糖尿病人
1
001
01
病人行為檔案、糖尿病併發症、跨理論模式、病人行為分析、潛在因素分析
patient profiles, diabetes complication, trans theoretical model, patient behavior analysis, latent profile analysis
糖尿病管理需要病人長期與醫療團隊合作,病人自我管理固然在於疾病管理中佔有重要角色,但目前的研究缺乏提供豐富的資訊於臨床團隊對於病人行為有系統的描述,而不同的病人分群有助於瞭解慢性病疾病管理產生落差的關鍵因素,本次研究採用跨理論行為模式進行病人健康行為檔案分析的概念架構,並藉由病人、醫師與醫療團隊進行資料收集彙整,藉由多元資料進行初步病人健康行為檔案分析的架構與驗證,並分析不同病人健康行為檔案對於病人分群的可行性,以及評估與糖尿病併發症發生風險之相關,本次研究藉由瞭解病人健康行為檔案分析,未來可發展出簡易評估工具,藉由瞭解不同的病人分群與不同的健康行為模式,可以協助臨床團隊未來於病人照護中有相關資訊或工具可以進行客制化的調整,並提供病人健康行為檔案於慢性病疾病管理上的實證基礎。
Diabetes management requires long-term cooperation of patients and their medical teams. Self-efficiency and self-management are crucial determinants of health behavior in disease management. However, insufficient research has systematically provided rich information on patient behavior to clinical teams. Understanding the behavior of different patient groups can facilitate the identification of crucial factors related to patient profiles in chronic disease management and address the gaps in .conceptual framework for developing patient health behavior profiles. We collected information from patients, providers, and health education teams for profiles construction. Furthermore, we will validate the feasibility of patient health behavior profiles through focus group discussions and by using the health information system in the study hospital. The development of patient health behavior profiles with determining factors and investigation of the risk of complications in diabetes can help practitioners develop a tool (such as a catalog table) for recognizing patient behavior in clinical settings. Additional information on patient behavior from patient health behavior profiles (or different health behavior groups) may aid clinical teams in tailoring information packages or disease management toolkits in diabetes disease management for specific patient groups. This study on patient health behavior profiles can be used to not only customize the health education materials but also provide evidence-based knowledge in chronic disease management.
否,無直接識別資料
除檢查有無可識別個人身份資料外,另檢查個案編號是否重複、變項及選項數值說明是否與問卷一致或未被定義,發現前述狀況時,將於確認後協助修改。
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