Thesis (M.S.)--University of Wisconsin-Madison, 1989. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 78-81).

According to the statistics from Department of Health, Executive Yuan, in 2007,brain attack has been listed as the third of the top ten reasons for death. In Taiwan, the occurrence rate of brain attack on population above 35-year-old is 3/1000. And the total amount of population above 35-year-old is nearly 10,000,000. Then the latest number of occurrence of brain attack is approximately 30,000¡COnce the stroke happens, under such a circumstance, not only the expense of acute care increases but also the long-term medical care expense, the family and social cost will become larger. In view of that, the long-term care plan for stroke patient has been in urgent need. This research, ¡¨Long-distance Community Health Care Nursing Service for Stroke Patients¡¨, which is originated from a plan conducted by a medical center in Southern Taiwan. Based on Andersen¡¦s¡]1968¡^health behavior model as the theoretical structure¡Awe studied 102 patients who had a stroke (including high stroke risk patients)within one year in Kaohsiung. In this study, we applied JMP V6.0¡]SAS Institute, Cary, NC, USA¡^to analyzing case characters¡Aconducting univariate analysis by £q2 analysis and ANOVA. Then we applied multivariate logistic regression analyses to significant variables. We hope to find out the predisposition, enabling factors and need factor from those important predictor variables in ¡§Long-distance Community Health Care and Nursing Service¡¨. We research the differences of stroke patients¡¦ behaviors, providing those research results as the reference materials for related business promotional strategy in future, hoping to advance the quality of long-term care and nursing for stroke patients. In this study, total 102 copies of the questionnaire were sent out and returned, with a return rate of 100%, and 100 copies of questionnaire were effective. The research results show that: 1. Predisposition¡GThere are significant differences on these items--¡§Number of Children¡¨(Demography), ¡§Buddhist¡¨(Religion) and ¡§Those who have a health check within nearly one year¡¨(Health Concept). 2.Enabling factors¡GThere are significant differences on these items--¡¨Monthly Family Income¡¨(Economical factor),¡¨Monthly Balance of Payment¡¨(Economical factor) and ¡§Commercial Insurance¡¨(Insurance resource). 3.Need factors¡GPeople (those who think their health state stay at the average level), Health State (¡§High Blood Pressure and Heart Attack¡¨,¡¨Eye Diseases¡¨, ¡¨Cancer¡¨,¡¨Bone and Muscle¡¨,¡¨Asthma¡¨,¡¨Ears Disease¡¨and ¡¨Neural Diseases¡¨are involved. The behavior research includes ¡§Number of Accepting Medical Treatment per month¡¨(1 to 2 times), ¡§Activity in Daily Life ¡¨¡]ADL¡BIADL-Shopping Ability¡^and ¡§Functional Behaviors¡¨. 4. To sum up, the predisposition, enabling and need factors in this research could partially influence using behaviors¡Ain accordance with Andersen¡¦s inference in health behavior model. In conclusion¡G1.¡¨Long-term Community Health Care and Nursing¡¨ can be applied to stroke patients, which can help patients to build up effective self-management and advance life quality; 2. This service combines Medical Service Chain established by Information-Telegraphic Technology. Currently, blood pressure checking and telephone consultation are most popular service among interviewees, and other kinds of service are under development; 3. Stroke patients with different demographical characters show a great difference on using behaviors; 4. To speak briefly, this service can meet the ideal long-term care and nursing standard for local aging population.

Little is known regarding registered nurse (RN) information management practice in long-term care (LTC) settings. This study identifies LTC RNs’ information management practice and needs, which are important for designing and implementing health information technology (HIT) in LTC settings. Methods: This descriptive qualitative study combines direct observations and semi-structured interviews, conducted at Alberta’s LTC facilities between May 2014 and August 2015. The constant comparative method of joint coding was used for data analysis. Results: Nine RNs from six nursing homes participated in the study. Based on the RNs’ existing information management system requirements, a graphic information flow model was constructed. Conclusion: This baseline study identified key components of LTC RNs’ information management system. The information flow model may assist HIT developers with future design and development of HIT solutions for LTCs, serve as a communication tool between RNs and developers to refine requirements and support further LTC HIT research. / Graduate