Reliability Statistics for Factors Affecting the Business Success of ITO Private Hospital through Healthcare Services (Published)
In Vietnam, highly competitive market in the private hospital industry has caused increasing pressure on them to provide services with higher quality. The aim of this study was to find out the factors affecting the business success of ITO private hospital through service quality (ITO Sai Gon – Dong Nai). Besides, the patient satisfaction is the most important parameter for judging the quality of healthcare service being provided by a service provider to the patient. Positive feedback from the patient leads to the goodwill of service providers in the market, which indirectly expands their business, whereas negative feedback makes it shrink. This theory is also applicable to healthcare providers. Nowadays, patients are aware of their rights in terms of healthcare services and the quality of healthcare services being delivered to them. The study results showed that there were 550 patients who interviewed and answered about 27 questions. Data collected from December 2016 to April 2017. This study had been analyzed Cronbach’s Alpha testing and the result of Cronbach’s Alpha used for the next research. Patients’ responses measured through an adapted questionnaire on a 5-point Likert scale (Conventions: 1: Completely disagree, 2: Disagree, 3: Normal; 4: Agree; 5: completely agree). Hard copy and online questionnaire distributed among 40.000 patients. Besides, the result of Cronbach’s Alpha is very high reliability statistics. All of variables surveyed Corrected Item-Total Correlation greater than 0.3 and Cronbach’s Alpha if Item deleted greater than 0.6 and Cronbach’s Alpha is very reliability with significance level 5 percent. The research results processed from SPSS 20.0 software.
Family Variables and Health of Women of Reproductive Age in University of Calabar Teaching Hospital in Cross River State, Nigeria (Published)
The study investigated family variables and health of women of reproductive Age in University of Calabar Teaching Hospital of Cross River State, Nigeria. To achieve these objectives, two null hypotheses were formulated from the independent variable namely; family size and educational background to guide the study while relevant literatures were empirically and theoretical reviewed. Anderson behavioural model and quality and quantity tradeoff theory were used as the theoretical background. Using the survey design and the purposive sampling technique, 100 questionnaires were administered on 50 respondents each from women of reproductive age seeking ante-natal and post-natal healthcare services in UCTH. Using the Pearson Product Moment Correlation Statistical Technique to run the hypothesis, the findings revealed that there is a significant relationship between family variables and health of women of reproductive age and that educational background significantly influences the health of women of reproductive age. It was therefore recommended amongst others that, health policy makers should design and strengthen better family reduction programmes that would be well targeted and result in a remarkable decrease in maternal health challenges.