Christopher Pennington
Econ 205 – Scholarly Research Paper
12/4/2017
Statistical Methods in Healthcare
Introduction
The Institute of Medicine states that quality health care is defined as safe, effective, patient-centered, timely, efficient, and equitable. Additionally, it should account for, a patient’s medical history, and improve overall patient well-being. The understanding of quality health care is different from each person’s point of view. Some nations emphasis is the ability to access various treatments without interference. While others value the feature of being able to select a competent health care provider. In this paper I will review four scholarly articles that analyze statistical methods for healthcare resource use. Such methods are; The role and cultural satisfaction with health care services across Europe, Healthcare Inequalities in Hispanic Diabetes, Statistical Methods in Medical Research on Advanced ROC Analysis, and lastly the Misuse and abuse of statistics in biomedical research.
Public Evaluation of health service across 21 European Countries
There is an increasing interest in measuring satisfaction with health services and health system performance. The evaluation of health services by consumers is important because it can influence the outcomes of certain health services. Consumers are essentially the voice when expressing their preferences, therefore makes healthcare be driven by patient orientation. Healthcare fulfilment is an alternate way to measure its overall quality and performance. These results are used to detect if a system is performing well and other areas it can improve. Major differences in health care satisfaction are credited to individual consumer traits, healthcare types, and healthcare delivery features. However, differences between countries, cultures, and values are hardly taken into thought. This study attempts to examine the role of cultural values and it relationship towards the satisfaction with health services across Europe.
The study was based on the 2014 seventh round of the European Social Survey (ESS). The study includes 39,894 responders from 21 countries of the European Union, the European Economic Area and Israel. The ESS is funded by the European Commission and the European Science Foundation, and covers an extensive variety of social topics. The latest survey contains a module on the social determinants of health. Data collection was based on face-to-face interviews with people ages 15 years and older living in private homes. Response rates ranged from 31% in Germany, 68% in the Czech Republic and similar overall to previous rounds of the ESS (Borisova, 2017). This article shows individual level ESS datasets which are supplemented with datasets from the World Bank, World Health Organization and Hofstede’s Cultural Dimensions.
The dependent variable in this analysis is the evaluation of healthcare. Responses are scaled from 0 (very bad) to 10 (very good). The country level explanat...
