Quality Of Life In Chronic Illness Research Articles

The chronic illness quality of life (CIQOL) model: explaining life satisfaction in people living with HIV disease.

The chronic illness quality of life (CIQOL) model theorizes that life satisfaction in persons living with a chronic illness such as HIV disease is a function of illness-related discrimination, barriers to health care and social services, physical well-being, social support, and coping. The CIQOL model was evaluated using data from 275 persons living with HIV disease. Women reported less life satisfaction and confronted more barriers to health care and social services than men, and White participants reported higher perceptions of AIDS-related discrimination than non-White participants. The CIQOL model provided an excellent fit to study data (root-mean-square error of approximation = .03) and accounted for almost a third of the variance in life satisfaction scores. Barriers to health care and social services played a particularly prominent role in the model.

The chronic illness quality of life (CIQOL) model: Explaining life satisfaction in people living with HIV disease.

The chronic illness quality of life (CIQOL) model: Explaining life satisfaction in people living with HIV disease.

Quality of life in breast cancer patients: validation of a FACT-B Malayalam version.

Recent advances in diagnosis and treatment of cancer have led to an increase in cancer survival, and hence, there is a greater emphasis on quality beside quantity of survival. Developing countries too have begun to recognize the need for monitoring quality of life (QOL). However, in most of the developing countries, a validated and reliable tool for the purpose is yet to be realized. The functional assessment of chronic illness therapy (FACIT) system is a collection of QOL questionnaires targeted to measure QOL in chronic illness. The functional assessment of cancer therapy for breast cancer (FACT-B) was translated into the local language (Malayalam) and tested for validity and reliability. The tool thus developed showed substantial sensitivity, as does the source tool. The Cronbach's alpha for the total FACT-B was 0.87, which is similar to the alpha of 0.9 observed in the FACT-B English version. The mean FACT-B score was 94.3 compared to 112.8 for the source tool. The Malayalam translation of the FACT-B questionnaire was developed, tested and validated, and was found satisfactory in comparison to the source tool.