Wednesday, September 25, 2019

Conducting a Literature Review; Data Collection Case Study

Conducting a Literature Review; Data Collection - Case Study Example There were almost an equal number of male and female participants who were aged 19 years old and above. The participants were mostly Non-Hispanic Caucasians and only a small number were ethnic minorities such as African-Americans, and Hispanic, among others. They were of varying educational levels. The research employed convenience sampling, gathering related sample by utilizing the patients of Kaiser Permanente Northern California Region. They were all provided a health survey questionnaire which gathered information about their demographic profiles and other behavioral and clinical data. The demographic data served as the study’s independent variables while self-reported frequency of SBMG served as the dependent variable. The independent variables were mostly nominal and ordinal in nature while the dependent variable used the scale level of measurement. These information were then analyzed using descriptive statistics such as percentages and means + SD, and the associated P values. In addition, chi-square statistics, analysis of variance (ANOVA), Kruskal-Wallis test, and multivariate logistical regression analysis were likewise used. The results of the study indicate that although most patients reported some level of SMBG monitoring, 60% of those with type 1 diabetes and 67% of those with type 2 diabetes reported practicing SMBG less frequently than recommended by the American Diabetes Association (three to four times daily for type 1 diabetes, and once daily for type 2 diabetes treated pharmacologically). Significant independent predictors of nonadherent practice of SMBG included longer time since diagnosis, less intensive therapy, male sex, age, belonging to an ethnic minority, having a lower education and neighborhood income, difficulty communicating in English, higher out-of-pocket costs for glucometer strips (especially for subjects with lower incomes), smoking, and excessive alcohol consumption. This led the researchers to conclude that

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