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Item Metadata only Performance indicators development for nursing colleges under the jurisdiction of the Ministry of Public Health(Mahidol University. Mahidol University Library and Knowledge Center, 2023) Krisana Sirivibulyakiti; Piyathida Tridech; Sirichai Kanjanawasee; Suriya WongkongkathepItem Metadata only Model development of seamless health service system for multidisciplinary in health area(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Somrak Sirikhetkon; Somsak Amornsiriphong; Somboon Sirisunhirun; Phut Ploywan; Sukanya ChongthawonsatidThis research aimed 1) to study the development of health service system quality in the present cardiovascular health area, 2) to study supporting factors and analyze problems or obstacles of development the quality of health service system, and 3) to propose a model for improving the quality of the seamless health service system for multidisciplinary in health area. The model development consisted of 4 processes, namely, study of relevant data and documents, in-depth interviews, group discussions, and professional networking teams. This research led to a new service system design to assess the appropriateness of the model used by experts or practitioners in the public health profession. The data were analyzed both quantitatively and qualitatively. The results showed that the new model of health service system development was the 3 C Acts: 3 I Support model, including Commitment Approach, Collaborative Care for the Care System, Care System, Integration, Information to improve, Innovation and Continuing Care for best results including efficiency, quality and security to target. The new model was brought to the trial area, and the conclusion of new health service system development showed improvement of care for patients with cardiovascular disease. It is suggested to develop more coaching system, use of information program, Rehabilitation Services after surgery and a cardiovascular disease preparation course in the professional field in order to increase the capacity of the network to be more effective.Item Metadata only Incidence and predictors of progression in chronic kidney disease(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Tadsaneewan Gantagad; Siriorn Sindhu; Chukiat Viwatwongkasem; Ketsarin Utriyaprasitof the health area and Bangkok Metropolitan administration area. The results showed the incidence of faster kidney disease progression was 13.12 per 100 persons-years. The predicting factors of faster kidney disease progression were CKD knowledge 0.54 (95% CI 0...). The results of the testing revealed Chi-square (χ2) = 2.06, df = 1, p = 0.15, RMSEA = 0.05, NFI = 0.98. The study result imply that health care provider including nurse may enhance the success of delaying the kidney function decline by providing CKD knowledge