|Abstract: ||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.