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BukuIndeks Pengukuran Disabilitas dan Prediksi Kualitas Hidup pada Masyarakat Lanjut Usia di DKI Jakarta (Suatu Upaya Memperkirakan Kemandirian Lanjut Usia)
Bibliografi
Author: Handajani, Yvonne Suzy
Topik: Measurement Index; Disability; Quality of Life
Bahasa: (ID )    
Penerbit: Program Pasca Sarjana Fakultas Kesehatan Masyarakat Universitas Indonesia     Tempat Terbit: Jakarta    Tahun Terbit: 2006    
Jenis: Theses - Dissertation
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: RR-2655
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
    Lihat Detail Induk
Abstract
SKRI (2002) reported that disability prevalence of the elderly (> 65 year old) in Indonesia was 43.4%. Based on the research unde rtaken, the health cost for the elderly with chronic diseases and disability was the highest In the health budget. To overcome this problem, the concept of healthy ageing emphasize public health and community action approaches to promote physical and psychosocial health and to prevent diseases as well as stress among elderly is promoted necessary. Based on this concept, the aging process can be seen as a positive ma tter, focusing on the improvement of the quality of life rather than the treatment of a disease. Until now, analysis of various factors determining disability and disability measurement index based on determinant factors have never been conducted in Indonesia. Neither is there an analysis on the disability index that was used in the past to grade daily activities. Therefore a research on disability index determination based on determinant factors of the elderly is considered necessary. The objective of this research is to acquire the disability measurement index based on the determinant factors that could be used to predict the quality of life of the elderly. The subjects of this research are 60 year olds or older elderly, who live in the 5 regions of DKI Jakarta. The research is a Cross Sectional survey. The samples are taken with 3-fold cluster-stratification and they are distributed in 4 parts, as follows 1) 1001 respondents to find out disability determinant factors; 2) 307 sub sample respondents to find out disability measurement index; 3) 205 sub sample respondents to predict quality of life; 4) 37 sub sample respondents to test out disability measurement based on determinant factors. The data analysis are conducted in 3 steps, as follows: 1) Multiple logistic regression to determine disability factors and disability measurement index; 2) T-independent test, Anova test, and multinomial logistic regression to predict the quality of life. 3) Kappa test, Pearson's correlation test, diagnostic test to measure the reliability and validity of disability measurement index. The result of the study shows that disability measurement index in 2 scoring models can be developed. The first model measuring on the dependency, shows 6 determinant factors (age, diabetes mellitus, dementia, depression, sports, and intake of energy). The second model measuring on the lack of ability, shows 4 determinant factors (age, diabetes mellitus, body joint disturbance, and dementia). Both models are quite constant and reliable to test the disability of the elderly and can be administered by health officer who have received some training. The advantage of this disability measurement index is that it is more comprehensive and practical, because it does not only detect disability, but it also collect data on chronic diseases, mental problem, nutrition behavior, as well as health behavior. This research has also produced a booklet containing instruments that can measure disability of the elderly based on determinant factors. It also functions as a tool to promote active, healthy, and independent life for the elderly. In predicting the quality of life, the study shows that respond ?nts scoring > 46 In disability measurement index model I or scoring > 41 in disability measurement index model I, are predicted to have a higher quality of life than the ones scoring < 46 in disability measurement index model I or scoring < 41 in disability measurement index model I. The determinant factors contributing to the presence of dependency are sex, age, education level, dementia, depression, and sport activity. The determinant factors contributing to the lack of ability, however, are age, diabetes mellitus, dementia, depression, sport activity, and smoking.
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