Demographic Factors Affecting Quality of Life of Hemodialysis Patients-Lahore,pskistan.

Abstract

Objective: The objective of the study was to determine the demographic factors affecting Quality Of Life (QOL) of hemodialysis (HD) patients. Methods: This observational study was conducted at Shalamar Hospital, Lahore. Patients of End Stage Renal Disease (ESRD) and on maintenance HD for more than three months were included during the period March to June 2012. Patient of ESRD not on dialysis and Acute Renal Failure were excluded. One hundred and twenty five patients who fulfilled the criteria were included. Demographic data containing age, sex, residence, socio economic status, education, mode of traveling for dialysis, total time consumed in dialysis were collected by the investigators. QOL index was measured using 26 items, WHO QOL BREF. Results: There were 89(71.2%) male and 36(28.8%) female patients. Environmental domain score was highest (p=0.000) than all other domains in HD Patients. In overall analysis age, marital status and total time consumed in getting HD effect QOL significantly (p=<0.05). In domain wise analysis, male has better QOL in social relationship domain than female. Age has negative relationship with physical health and psychological health domain. QOL of unmarried and literate patients is significantly better (p=<0.05) in physical health domain. Employed patients have better QOL in physical, psychological and social relationship domain (p=<0.05) than unemployed patients. Patients of residence of rural areas have better QOL in physical and environment domain. Financial status of HD patients affect QOL in social domain. Distance covered to reach hospital effect QOL in psychological domain (p=<0.05). Patients traveling in private transport have better QOL in environmental domain (p=<0.05). Total time consumed in getting HD effect social relation in QOL (p=<0.05). According to linear regression model, marital status is positive predictor and unemployment is negative predictor of QOL in physical health domain. Age is negative predictor of QOL in psychological domain, monthly income is positive predictor of QOL in domain. Unemployment is positive predictor of QOL in social relation domain. Monthly income and place of residence is positive predictor of QOL in environment domain. Conclusion: Gender, age, marital status, unemployment, residence of rural area, economical status, distance covered to reach hospital, mode of transport, total time consumed in getting HD, effect QOL in HD patient. Education level is a positive factor for improving QOL of HD patients.

Assessment of Health-Related Quality of Life in Patients Receiving Regular Hemodialysis

“…The association of age with HRQOL is quite complex and illustrates the complexity of the QOL concept [4] that age was strongly inversely associated with the physical domain scores. As age increases in the elderly, physical function of the body decreases [2,4,14,[18][19][20][21][22]. A recent Saudi showed that age was a negative predictor of HRQOL score [2].…”

“…The potential to increase the number of dialysis patients who are employed exists if the barriers to employment that have been identified can be removed [26]. Patients who are satisfied with hemodialysis treatment and accepting it have better working capacity [22]. Directing rehabilitation efforts toward the population of dialysis patients who identify themselves as willing and able to work seems a worthwhile strategy to improve their QOL [26].…”

Assessment of quality of life in patients undergoing hemodialysis using WHOQOL-BREF questionnaire: a multicenter study

“…WHOQOL-BREF questionnaire has been validated for assessing QOL in patients with CKD in different settings 14 and has been used to assess QOL by a number of studies elsewhere. 3,4,19 We used sociodemographic data as predictor variables and all four domains, including items 1 and 2, as outcome variables. 20 Results of descriptive analysis are presented as mean±SD.…”

Factors Affecting Quality of Life among Hemodialysis Patients

“…According to Muhammad anees [3] negative predictor of quality of life in psychological domain. Monthly income is positive predictor of quality of life factor affect more.…”

“…Education level is a positive factor for improving QOL of HD patients. [3] Study conducted by M.Shinde found that about 97% patients undergoing hemodialysis had severe stress In that 50% of patients undergoing hemodialysis always adopt emotion focused and problem orientation as their coping strategies, while 90% of patient sometimes used avoidance oriented coping strategy, while the others 56% sometime use the coping strategy of seeking support and isolated thoughts. The overall assessment reveals that though the subjects at undergo severe stress of the procedure they undergo.…”