Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan
碩士 === 亞洲大學 === 健康產業管理學系長期照護組碩士在職專班 === 105 === Objective: ADA shows that a quarter of 65-year-olds suffer from diabetes. According to the National Health Department to investigate, the prevalence of diabetes was 11.8%. Looking at the diabetes care program for many years, the results show positive r...
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ndltd-TW-105THMU17120202019-05-15T23:24:51Z http://ndltd.ncl.edu.tw/handle/7485p9 Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan 利用傾向分數配對法重新評估苗栗縣卓蘭鎮衛生所糖尿病共同照護網病患成效分析 WU, YUN-CHEN 伍昀貞 碩士 亞洲大學 健康產業管理學系長期照護組碩士在職專班 105 Objective: ADA shows that a quarter of 65-year-olds suffer from diabetes. According to the National Health Department to investigate, the prevalence of diabetes was 11.8%. Looking at the diabetes care program for many years, the results show positive results, research results may cause selective bias problems. Therefore, this study uses the tendency score matching method to re-evaluate the effectiveness of the diabetes mellitus patients in the Zhulan Town Health Center. Methods: This study is a retrospective secondary data analysis, the study design using nonequivalent control group designs. Collected from 2006 to 2013 diabetes mellitus disease data, biochemical test data, medication data, 3065 pen sample information, excluding the time of medication or not on time blood samples of patients. Divided into the traditional model (care group VS non-care group), the propensity score matching model (care group VS matching group), 60 people in the care group, 73 in the matching group, 60 in the non-care group, 180 in the nursing group, 196 in the matching group, and 180 in the non-care group. SPSS analysis, descriptive statistics, t-test test, Rogers regression, odds ratio, GEE pattern analysis. Results: The odds ratio of HbA1c was 0.828, which was not significant (p = 0.21). Fasting plasma glucose odds ratio was 0.857, no significant (p = 0.262). Triglyceride odds ratio 0.921, no significant (p = 0.388). HDL cholesterol odds ratio of 1.08, no significant (p = 0.417). LDL cholesterol ratio was 1.06, no significant (p = 0.437). Systolic blood pressure ratio was 0.976, no significant (p = 0.496). All the results showed no significant results, the results clearly show that the care group of the relevant biochemical test values and the matching group of odds are meaningless. Conclusion: The results showed a similar study design of randomized controlled trials comparing the effectiveness of possible significant results. By propensity score matching model generation conditions is not very obvious in comparison with the traditional mode of embodiment, the results confirmed significantly different. In the future, we recommend that can expand to make up questionnaires secondary data cannot contain the factors that may affect the interference, the more confirmed results of this study. In line with the sound health insurance system and the integrity of the health system policy, to achieve excellent care effectiveness and really for the well-being of people's health quality standards believe that just around the corner. LIAO, HUNG-EN 廖宏恩 2017 學位論文 ; thesis 70 zh-TW |
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碩士 === 亞洲大學 === 健康產業管理學系長期照護組碩士在職專班 === 105 === Objective: ADA shows that a quarter of 65-year-olds suffer from diabetes. According to the National Health Department to investigate, the prevalence of diabetes was 11.8%. Looking at the diabetes care program for many years, the results show positive results, research results may cause selective bias problems. Therefore, this study uses the tendency score matching method to re-evaluate the effectiveness of the diabetes mellitus patients in the Zhulan Town Health Center.
Methods: This study is a retrospective secondary data analysis, the study design using nonequivalent control group designs. Collected from 2006 to 2013 diabetes mellitus disease data, biochemical test data, medication data, 3065 pen sample information, excluding the time of medication or not on time blood samples of patients. Divided into the traditional model (care group VS non-care group), the propensity score matching model (care group VS matching group), 60 people in the care group, 73 in the matching group, 60 in the non-care group, 180 in the nursing group, 196 in the matching group, and 180 in the non-care group. SPSS analysis, descriptive statistics, t-test test, Rogers regression, odds ratio, GEE pattern analysis.
Results: The odds ratio of HbA1c was 0.828, which was not significant (p = 0.21). Fasting plasma glucose odds ratio was 0.857, no significant (p = 0.262). Triglyceride odds ratio 0.921, no significant (p = 0.388). HDL cholesterol odds ratio of 1.08, no significant (p = 0.417). LDL cholesterol ratio was 1.06, no significant (p = 0.437). Systolic blood pressure ratio was 0.976, no significant (p = 0.496). All the results showed no significant results, the results clearly show that the care group of the relevant biochemical test values and the matching group of odds are meaningless.
Conclusion: The results showed a similar study design of randomized controlled trials comparing the effectiveness of possible significant results. By propensity score matching model generation conditions is not very obvious in comparison with the traditional mode of embodiment, the results confirmed significantly different. In the future, we recommend that can expand to make up questionnaires secondary data cannot contain the factors that may affect the interference, the more confirmed results of this study. In line with the sound health insurance system and the integrity of the health system policy, to achieve excellent care effectiveness and really for the well-being of people's health quality standards believe that just around the corner.
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author2 |
LIAO, HUNG-EN |
author_facet |
LIAO, HUNG-EN WU, YUN-CHEN 伍昀貞 |
author |
WU, YUN-CHEN 伍昀貞 |
spellingShingle |
WU, YUN-CHEN 伍昀貞 Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan |
author_sort |
WU, YUN-CHEN |
title |
Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan |
title_short |
Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan |
title_full |
Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan |
title_fullStr |
Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan |
title_full_unstemmed |
Using Propensity Score Matching Method to Reevaluate the Effectiveness of Network-based Diabetes Care Program in Jhuolan Health Center of Miaoli County, Taiwan |
title_sort |
using propensity score matching method to reevaluate the effectiveness of network-based diabetes care program in jhuolan health center of miaoli county, taiwan |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/7485p9 |
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