Question

This research aimed to evaluate whether a self-management program promoted healthy lifestyle behaviors (HLBs) and improved health outcomes among Thai elderly with hypertension. Participants were randomly allocated to either an intervention group (n= 20), that received an 8-week selfmanagement program that included home visits, or a control group (n=20). The data were analyzed by a chi-square analysis, a mixed-model repeated measure MANOVA, and MANCOVAs. There were significant differences in the mean scores of healthy lifestyle behaviors at posttest and follow-up between the two groups (p <0.01) . Moreover, the experimental participants showed statistically significant decrease in BMI as compared to the control group participants in posttest and follow-up ( p <0. 001) . There was a statistically significant reduction in blood pressure in the experimental participants, compared with the control participants at follow-up (p <0.001). Furthermore, healthy lifestyle behaviors increased significantly in the experimental participants compared with the control participants and baseline ( p < 0. 001) . In addition, BMI and blood pressure decreased in the experimental participants compared with the control participants and baseline ( p < 0. 001) . The self-managementprogram resulted in improved healthy lifestyle behaviors, and health outcomes among the elderly with hypertension, and has implications for health promotion. [ABSTRACT FROM AUTHOR]

PLEASE ANSWER THE BELOW QUESTIONS

• What is the intended purpose of the study?
• How does the research questions/hypotheses address the problem as detailed by the researcher?
• How does the content in the purpose statement and research questions define the methodology used in the study?
• How was the data collected and analyzed?
• What was the benefit of using the selected statistical test?
• What was the outcome of the study?

Answer 1

The intended purpose of the study:

The intended purpose of study is to test statistical probability model for breast cancer survival data for race and ethnicity and to understand the current state of affairs about breast cancer survival in Hispanic subpopulation within United States.

The research questions/hypothesis as detailed by the researcher addresses the problem as:

Researcher selected a stratified random sample of Black Hispanic female patients from database to derive statistical probability models. There were not many studies that elucidate breast cancer disparities among different races within the Hispanic ethnicity. So, in this study the data were collected and tested by statistical methods.

The content in the purpose statement and research questions define the methodology used in the study as:

The content in purpose statement and research questions define the methodology used in the study as the statistical methods and probability analysis. Statistical probability models are to measure the goodness of fit.

Procees of collecting and analysing data:

Healthcare personnel had collected vast amounts of phenomic and genomic data which should be maximally utilized for research perspective. The large database were tested with statistical models and methods. Researcher selected a stratified random sample of Black Hispanic female patients from Surveillance Epidemiology and End Results (SEER) database to derive statistical probability models. Researcher used three common model building criteria which include Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC) and Deviance Information Criteria (DIC) to measure goodness of fit. Advanced computational software package called "Mathematica version 8.0" to derive additional predictive inferences for the ethnicity about their survival times.

The benefit of using the selected statistical test:

The statistical methods are used to characterize data and derive scientific inferences. The statistical methods were very useful to predict future patterns of disease morbidity and mortality, thereby understanding severity and outcomes.

The outcome of the study:

The exponentiated exponential model was found to be best fitted model. From the model, the result was found that the shape of the future survival model for Black Hispanic was positively skewed. These models helped the healthcare providers and researchers to predict a patient's future survival outcomes, thus it could be used to enhance and improve the rationales for better utilization of current facilities and planned allocation of future resources.