Card scoring as prognosis tool elderly quality of life in the city of Bengkulu

Abstract

Improvement quantity elderly (elderly) should be balanced with an increase in the quality of life. In addition to long life, the elderly are expected to have a good quality of life, stay healthy, productive, and independent. The quality of life of the elderly should be an essential concern for health professionals because it can be a reference for the success of an action, intervention, or therapy. There must be a system that is used to detect early life quality of the elderly that can be used to provide primary health care measures for the elderly. The study aims to identify card scoring based on individual characteristics, psychological well-being, social welfare and environmental welfare as a prognostic quality of life for the elderly. Types of research case control with 108 elderly samples at the Kuala Lempuing Health Center in Bengkulu city, was taken by simple random sampling technique. Data collection uses the WHOQOLBREF Instrument questionnaire. Data analysis using Chi-square test and multiple logistic regression. The Hosmer and Lemeshow test are used to see the quality of the model from the calibration aspect. The results of the analysis showed that there was no difference between observed and expected with a value of p = 0.93> 0.05. Regression equation (5.468 and 2.492) total_skore is obtained. ROC analysis is used to determine the quality of discrimination. The results of the discrimination score of the scoring model in this study were strong (p = 0.972, 95% CI, 0.9440.999). The prognosis of the quality of life of the elderly can be determined based on card scoring (environmental welfare, psychological well-being, and physical factors).