An assessment of the quality of life in hemodialysis patients using the WHOQOL-BREF questionnaire

How much is enough? An investigation of the relationship between haemodialysis adequacy and quality of life of elderly patients

AIM

The average age of patients requiring haemodialysis is on the rise and has resulted in an increase in the number of elderly people receiving dialysis. While haemodialysis is one of the treatment options for this patient group, questions about its effectiveness have been raised. A second question centres on how much haemodialysis is actually needed to maintain quality of life (QoL). This study examined the relationship between dialysis adequacy and the QoL of elderly patients on haemodialysis.

METHOD

A prospective cohort of 40 haemodialysis patients aged 75 years and above was recruited and studied over 3 months. Quality of life was assessed with the European Quality of Life-5 Dimensions questionnaire and dialysis adequacy with the urea reduction ratio (URR), and the relationship between the two examined using a simple linear regression model.

RESULTS

The average age of the participants was 79.8 ± (3.9 years; 45% were women, and diabetes was the main cause of kidney disease (42.5%). The mean URR, visual analogue scale, European Quality of Life-5 Dimensions indices score and Charlson comorbidity index scores were 78.1 ± (5.5)%, 65.4 ± (13.7)%, 0.7 ± (0.27) and 6.3 ± (2.15), respectively. There was no clear relationship between dialysis adequacy and QoL, r = 0.093. Dialysis adequacy did not significantly predict QoL (P = 0.09).

CONCLUSION

There was no evidence for an association between haemodialysis adequacy and QoL in elderly patients receiving haemodialysis across a URR range of 64.0% to 88.9%. Attempts to improve dialysis adequacy beyond these levels may not be necessary for maintaining the QoL of elderly patients on dialysis.

KEY MESSAGE

Modern therapy should embrace the concept of quality of life and focus more on symptom relief and optimization of self-management skills to improve the well-being of the elderly patients with ESKD.

Testing measurement equivalence of the SF-36 questionnaire across patients on hemodialysis and healthy people

BACKGROUND

Differential item functioning (DIF) occurs when members from different groups respond differently to particular items in a health-related quality of life (HRQoL) questionnaire after controlling for underlying HRQoL construct. This study aimed to assess DIF in the SF-36 questionnaire and its effect on comparing HRQoL scores across patients on HD and healthy people.

METHODS

One hundred fifty patients on maintenance hemodialysis (HD) and 642 healthy individuals filled out the Persian version of the SF-36 questionnaire. Multiple-group multiple-indicator multiple-causes (MG-MIMIC) model was used to assess DIF across patients on HD and healthy population.

RESULTS

Sixteen out of 36 (44.4 %) items were flagged with DIF. Six out of 16 items (37.5 %) were flagged with uniform DIF, nine items (56.2 %) with non-uniform DIF, and one item (6.2 %) with both uniform DIF and non-uniform DIF. DIF items were associated with all subscales with the exception of the limitation due to physical problems and bodily pain subscales. The significant lower HRQoL scores of patients on HD in comparison with healthy people in the physical functioning and vitality subscales did not change after removing the items with uniform DIF.

CONCLUSIONS

Our findings revealed that patients on HD and healthy people perceived the meaning of the items in SF-36 questionnaire differently. Although the impact of DIF is minimal, the cross-group comparison across patients on HD and healthy people should be performed with caution.

WHOQOL-BREF Hindi questionnaire: Quality of life assessment in acetabular fracture patients

BACKGROUND

The incidence of acetabular fractures in India has increased over the past years but so has the operating skills of pelvi-acetabular trauma surgeons. The outcomes of surgical management need to be assessed so as to be able to devise proper treatment plan and execute the same during and after surgery, which in turn requires assessment of quality of life indices as well as functional scores. While there are studies assessing Harris Hip scores (HHS) and world health organization quality of life BREF (WHOQOL BREF) in the western population there is no study which assesses the same in Indian population. We designed this study to evaluate and define reference values for use of WHOQOL BREF Hindi scores in QOL Assessment in patients with acetabular fractures and to assess the relationship between it and HHS.

MATERIALS AND METHODS

118 patients with acetabular fractures who were treated surgically were included in this retrospective study. Assessment of reduction quality (Matta's radiological criteria), clinical outcome (HHS) and functional outcome (WHOQOL-BREF score) were done. The affect of age, gender, fracture displacement, hip dislocation, delay in surgery and associated injury on the clinical and functional outcome was evaluated.

RESULTS

The mean HHS was 90.65 (42-100) which showed an overall good to excellent outcome in 78.8% cases. WHOQOL-BREF Hindi score of domain-one was 63.06 ± 20.31 (13-94), of domain-two was 58.22 ± 19.57 (13-100), of domain-three was 70.49 ± 17.92 (13-100) and of domain-four was 64.48 ± 18.46 (13-100), which showed significant functional deficit in domain-one (P = 0.0001) and domain-two (P = 0.0001) but not in domain-three (P = 0.458) and domain-four (P = 0.722) when compared to score of general healthy population. The domain scores of general population norms were achieved in 59.3%, 61.9%, 69.5% and 66.1% cases in domain one, two, three and four respectively.

CONCLUSIONS

Based on these results one can conclude that WHOQOL-Hindi questionnaire is good enough for assessment of QOL in addition to clinical measures in acetabular fracture patients.

Family functioning, marital satisfaction and social support in hemodialysis patients and their spouses

A growing number of studies have demonstrated the importance of marital quality among patients undergoing medical procedures. The aim of the study was to expand the literature by examining the relationships between stress, social support and family and marriage life among hemodialysis patients. A total of 114 participants, including 38 patients and their spouses and 38 healthy controls, completed a survey package assessing social support, stress, family functioning and marital satisfaction and quality. We found that hemodialysis patients and spouses were less flexible in family adaptability compared with the healthy controls. Patients and spouses had more stress and instrumental social support compared with healthy people. Stress was negatively associated with marital satisfaction. Instrumental support was not associated with family or marital outcomes. The association between marital quality and support outside of family was positive in healthy individuals but was negative in patients and their spouses. Family adaptability was positively associated with support within family as perceived by patients and positively associated with emotional support as perceived by spouses. In conclusion, findings suggest that social support may promote adjustment depending on the source and type. Future research should pay more attention to the types and sources of social support in studying married couples.

Sleep quality among Iranian hemodialysis patients: a multicenter study

Background:

Sleep disorders are prevalent complication in patients with end-stage renal disease undergoing hemodialysis (HD). The factors affecting sleep quality (SQ) of patients on HD have not been completely recognized yet. In addition, some studies have shown that poor SQ increases the risk of mortality in patients on HD.

Objectives:

This study aimed to identify the prevalence of poor SQ and its associated risk factors in Iranian patients on HD.

Patients and Methods:

This cross-sectional and multicenter study was conducted on 6878 patients on HD from 132 dialysis centers in Iran. Sleep domain of disease specific core of KDCS-SF questionnaire and generic core of this questionnaire (SF-36) were used to assess patients’ SQ and quality of life (QoL), respectively. A poor SQ was defined as a score of ≤ 61.2. Logistic and linear regression analyses were applied to assess predictors of SQ and their associations.

Results:

The mean age of patients was 54.4 ± 17.1 years and 39.7% of patients were > 60 years old. The majority of our patients had poor SQ (60.6%). Patients with diabetes mellitus were significantly more likely to have poor quality of sleep (63.4%). In logistic regression analysis, there were significant correlation between good SQ and younger age, shorter dialysis vintage, less muscle cramp, high QoL, high cognitive function score, and high sexual function. In addition, linear regression showed a significant association among SQ, QoL, and hospital stay as an outcome.

Conclusions:

With improving some factors and QoL of patients on HD, we can promote SQ in these patients that it might lead to reduction in length of hospital stay.

Quality of life in end stage renal disease patients

AIM: To understand factors associated with quality of life (QOL), examine types of QOL instruments, and determine need for further improvements in QOL assessment.

METHODS: The method used databases (Pubmed, Google scholar) and a bibliographic search using key words QOL, end stage renal disease, Hemodialysis, Peritoneal dialysis, instruments to measure QOL, patients and qualitative/quantitative analysis published during 1990 to June 2014. Each article was assessed for sample size, demographics of participants, study design and type of QOL instruments used. We used WHO definition of QOL.

RESULTS: For this review, 109 articles were screened, out of which 65 articles were selected. Out of 65 articles, there were 19 reports/reviews and 12 questionnaire manuals. Of the 34 studies, 82% were quantitative while only 18% were qualitative. QOL instruments measured several phenomenon such as physical/psychological health, effects and burdens of kidney disease, social support etc. those are associated with QOL. Few studies looked at spiritual beliefs, cultural beliefs, personal concerns, as per the WHO definition. Telemedicine and Palliative care have now been successfully used however QOL instruments seldom addressed those in the articles reviewed. Also noticed was that longitudinal studies were rarely conducted. Existing QOL instruments only partially measure QOL. This may limit validity of predictive power of QOL.

CONCLUSION: Culture and disease specific QOL instruments that assess patients’ objective and subjective experiences covering most aspects of QOL are urgently needed.

Demographic factors affecting quality of life of hemodialysis patients - Lahore, Pakistan

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.

Factors Influencing Quality of Life and Predictors of Low Quality of Life Scores in Patients on Treatment for Pulmonary Tuberculosis: A Cross Sectional Study

There is paucity of information on the quality of life of patients with pulmonary tuberculosis in Nigeria. This study assessed the factors influencing their quality of life and the independent predictors of low quality of life scores. Two hundred and sixty consecutive patients with pulmonary tuberculosis seen at the Lagos University Teaching Hospital were evaluated for health related quality of life using the World Health Organization Quality of life instrument (WHOQoL-BREF). Sociodemographic characteristics of the patients were related to the various domains of quality of life and a multivariate logistic regression analysis was performed to identify the independent predictors of low quality of life scores in the patients. The mean age of the patients was 36.7±12 years. Sex, age and marital status of patients were found to influence quality of life scores. The independent predictors of low quality of life scores were low monthly income, duration of the illness, concomitant illnesses, unemployment, advancing age and male gender. Several socio demographic and economic factors influenced the quality of life of patients with tuberculosis and are predictive of poor scores. It is important to consider these factors when treating patients with tuberculosis to optimise outcome of care.

Interplay of anxiety and depression with quality of life in endstage renal disease

BACKGROUND

Endstage renal disease (ESRD) is increasingly being recognized as a major public health issue globally. Planning of intervention measures is preferably hinged on what is known about outcome parameters.

OBJECTIVES

This study investigated the influence of anxiety with depression and psychosocial- and treatment-related correlates on quality of life (QOL) in ESRD.

METHODOLOGY

Overall, 100 eligible individuals with ESRD were recruited by systematic random sampling technique. They were initially interviewed using the sociodemographic/clinical profile questionnaire, followed by assessment with the Hospital Anxiety and Depression Scale. Subsequently, subjective QOL of participants was assessed using the World Health Organization QOL-BREF.

RESULTS

The mean age of participants was 41.9 ± 10.9 years, and males (55.0%) were preponderant. A total of 29 (29.0%) participants had diagnosable anxiety with depression psychopathology based on Hospital Anxiety and Depression Scale scores ≥ 8. Different degrees of impairment across domains of QOL were observed. Factors like being employed, married status, younger age, and spending less on treatment correlated positively with good QOL across specific domains, whereas comorbid anxiety with depression, history of dialysis, monthly income less than ₦50,000 ($300), and having up to 50 dialysis sessions correlated negatively with good outcome in specific domains of QOL (p < 0.05). However, only age, anxiety/depression, employment, and history of dialysis were independently related to QOL following logistic regression analyses.

CONCLUSION

The care of ESRD should be matched with need-based mental health services, and psychosocial support across important illness trajectories is indicated for best outcome. Further research among people with ESRD is also warranted.

Quality of life in dialysis: A Malaysian perspective

There is a growing interest to use quality of life as one of the dialysis outcome measurement. Based on the Malaysian National Renal Registry data on 15 participating sites, 1569 adult subjects who were alive at December 31, 2012, aged 18 years old and above were screened. Demographic and medical data of 1332 eligible subjects were collected during the administration of the short form of World Health Organization Quality of Life questionnaire (WHOQOL-BREF) in Malay, English, and Chinese language, respectively. The primary objective is to evaluate the quality of life among dialysis patients using WHOQOL-BREF. The secondary objective is to examine significant factors that affect quality of life score. Mean (SD) transformed quality of life scores were 56.2 (15.8), 59.8 (16.8), 58.2 (18.5), 59.5 (14.6), 61.0 (18.5) for (1) physical, (2) psychological, (3) social relations, (4) environment domains, and (5) combined overall quality of life and general health, respectively. Peritoneal dialysis group scored significantly higher than hemodialysis group in the mean combined overall quality of life and general health score (63.0 vs. 60.0, P < 0.001). Independent factors that were associated significantly with quality of life score in different domains include gender, body mass index, religion, education, marital status, occupation, income, mode of dialysis, hemoglobin, diabetes mellitus, coronary heart disease, cerebral vascular accident and leg amputation. Subjects on peritoneal dialysis modality achieved higher combined overall quality of life and general health score than those on hemodialysis. Religion and cerebral vascular accident were significantly associated with all domains and combined overall quality of life and general health.

Estimation of quality of life in haemodialysis patients

Since haemodialysis is an expensive treatment modality for chronic renal failure patients, it is very essential to assess the outcome of therapy in terms of quality of life. The primary objective of the study was to estimate the effect of patient counselling in quality of life of end stage renal disease patients opting haemodialysis using World Health Organisation Quality of life scale and to assess the variables affecting the quality of life of these patients. Quality of life was determined by World Health Organisation Quality of life scale questionnaire comprised of 26 items which measures four domains: physical, psychological, social and environmental domain. A total of 81 patients were selected and divided into test and control group and the test group patients received counselling regarding their disease, use of medications, importance of adherence and the complications experienced during and after dialysis. The quality of life data was collected at the interval of 1, 2, 3, 6 and 12 months and the patients were counselled at each interval. The demographic profiles revealed that majority of the patients were in the age group of 31-50 and there exists a male predominance. About the socioeconomic status, upper middle class people were mostly affected. Assessment of impact of patient counselling in the quality of life of haemodialysis indicated a significant improvement in each domain after counselling. And also found that the psychological domain showed a significant increase in the score compared to others. Patient counselling helped to gain benefits in terms of improvement in quality of life and delayed progression of renal failure. Early recognition and prevention is necessary to improve the quality of life of chronic renal failure patients. Patient counselling should be made mandatory by incorporating clinical pharmacist in the nephrology team to make the patient understand his illness and modifications in lifestyle also create a positive environment and result in better quality of life.

Quality of life of chronic kidney disease patients in developing countries

In the developing world, the emphasis of care for the patient with chronic kidney disease is, in general, focused on the basics of care and patient survival; attention is not primarily focused on quality of life assessments. However, this arena is beginning to attract more attention. It is important to determine if standardized instruments are valid in the developing world and which unique assessments need to be utilized in individual cultural settings.

'Decision support system (DSS) for prevention of cardiovascular disease (CVD) among hypertensive (HTN) patients in Andhra Pradesh, India'--a cluster randomised community intervention trial

BACKGROUND

Very few studies having decision support systems as an intervention report on patient outcomes for cardiovascular disease in the Western world. The potential role of decision support system for the management of blood pressure among Indian hypertensives remains unclear. We propose a cluster randomised trial that aims to test the effectiveness and cost effectiveness of DSS among Indian hypertensive patients.

METHODS

The trial design is a cluster randomised community intervention trial, in which the participants would be adult male and female hypertensive patients, in the age group of 35 to 64 years, reporting to the Primary Health Care centres of Mahabubnagar district, Andhra Pradesh, India. The objective of the study is to test the effectiveness and compare the cost effectiveness and cost utility among hypertensive subjects randomized to receive either decision support system or a chart based algorithmic support system in urban and rural areas of a district in the state of Andhra Pradesh, India (baseline versus 12 months follow up). The primary outcome would be a comparison of the systolic blood pressure at 0 and 12 months among hypertensive patients randomized to receive the decision support system or the chart based algorithmic support system. Computer generated randomisation and an investigator and analyser blinded method would be followed. 1600 participants; 800 to each arm; each arm having eight clusters of hundred participants each have been recruited between 01 August 2011 - 01 March 2012. A twelve month follow up will be completed by March 2013 and results are expected by April 2013.

DISCUSSION

This cluster randomized community intervention trial on DSS will enable policy makers to find out the effectiveness, cost effectiveness and cost utility of decision support system for management of blood pressure among hypertensive patients in India. Most of the previous studies on decision support system have focused on physician performance, adherence and on preventive care reminders. The uniqueness of the proposed study lies in finding out the effectiveness of a decision support system on patient related outcomes.

TRIAL REGISTRATION

CTRI/2012/03/002476, Clinical Trial Registry - India.