Health-related quality of life and associated factors among patients with diabetes mellitus at the University of Gondar referral hospital (original) (raw)

Health-related quality of life and associated factors among type 2 diabetic adult patients in Debre Markos Referral Hospital, Northwest Ethiopia

Heliyon

Health-related quality of life (HRQOL) is a multifaceted concept that is strongly impacted by Type II diabetes in developing countries. The majority of studies indicate diabetes mellitus prevalence without looking at people's quality of life. This study was conducted using an Institution-based cross-sectional design in Debre Markos Referral Hospital from March 03 to March 31, 2020. We evaluated HRQOL using the WHO quality of life BREF and data were obtained through face-to-face interviews. We used a systematic random sampling technique to select study participants. Data were entered into Epi data version 3.1 and exported to STATA version 14.0. Candidates for multivariable analysis were variables with a P-value less than 0.25 in the bivariable analysis and P-value less than 0.05 were considered to declare a statistically significant association. The final model was tested for its goodness of fit using Hosmer and Lemeshow's statistics. The analysis included a total of 368 adult individuals with type II diabetes and 206 (56%) had a good HRQOL.

Health-Related Quality of Life and Associated Factors Among Type Two Diabetic Patients on Follow-Up in Dessie Comprehensive Specialized Hospital, Dessie, North East Ethiopia, 2020

Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 2020

Background: Diabetes mellitus is a disorder of carbohydrate metabolism and it is highly related with diminished HRQOL in Ethiopia; diabetic related complications especially bring major negative impacts on HRQOL. Objective: To assess HRQOL and associated factors among type two diabetic patients in Dessie Comprehensive Specialized Hospital, north east Ethiopia, 2020. Methods: Institutional-based cross-sectional study design was conducted on 417 patients through systematic random sampling technique from February 08 to April 08, 2020. WHO HRQOL 26 items were used to measure outcome variable. Face-to-face interview, document review and measurement were implemented to collect data. The data were analyzed by IBM SPSS Statistics version 25 and summarized by using tables. Simple linear regression analysis was done and forwarded to multivariable linear regression analysis at p-value <0.25. Next multivariable linear regression analysis was done and variables whose p-value less than 0.05 with unstandardized B-coefficient were declared significant predictor variables. Results: The mean scores of physical domain, psychological domain, environmental domain and social domain were 48±6.7 (47-49), 52±4.2 (50-52.3), 48.9±3.4 (48-50.4) and 49±4 (48-50), respectively. As age increased by one year, patients' physical HRQOL decreased by 0.031 factor, keeping effect of other variables constant [−0.031, 95% CI (−0.050 to-0.013)]. As duration of diabetes increased by one year, patients' physical HRQOL increased by 0.034 factor, keeping effect of other variables constant [0.034, 95% CI (0.004 to 0.065)]. In general, age, depression, perceived social stigma, self-employed, having two complications, widowed, insulin and oral anti-diabetic medication affected HRQOL negatively and duration of diabetes in physical domain and university level of education in environmental domain affected HRQOL positively. Conclusion and Recommendation: The mean score of health-related quality of life in physical health domain, psychological health domain, social health domain and environmental health domain was recorded nearly half score point out of a hundred. Health professionals should follow a holistic approach to management to address negatively associated predictor variables with HRQOL.

Health-related quality of life of patients with diagnosed type 2 diabetes in Felege Hiwot Referral Hospital, North West Ethiopia: a cross-sectional study

BMC Research Notes

Objective: Diabetes mellitus is a chronic non-communicable disease with considerable impact on health status and quality of life. It has a profound effect on quality of life in terms of social and psychological as well as physical well-being. This study was conducted to assess health related quality of life among patients with diagnosed type 2 diabetes. Result: A cross-sectional study design was conducted from April to May, 2015. World Health Organization quality of life-BREF tool was used for collecting the data. A total of 344 patients with diagnosed type 2 diabetes were involved in the study. The overall health related quality of life mean score of the study participants was 52.6 ± 12.1 SD. Social domain has higher mean score (57.8 ± 14.8 SD). Educational status, marital status, occupation, duration of the diabetes and diabetes related complications had statistically significant association with health-related quality of life. An intervention that give special attention to the breaking of the cycle of low occupational status and literacy; and which encourage patients with type 2 DM to have good control of their diabetes and prevent complication should be implemented to improve their quality of life.

Validity and Reliability of the Amharic Version of the World Health Organization’s Quality of Life Questionnaire (WHOQOL-BREF) in Patients with Diagnosed Type 2 Diabetes in Felege Hiwot Referral Hospital, Ethiopia

Journal of Diabetes Research, 2019

Background. Although it is largely preventable, type 2 diabetes is the most common type and accounts for the vast majority of diabetes cases worldwide. Objective. To assess the validity and reliability of the Amharic version of the abbreviated World Health Organization Quality of Life (WHOQOL-BREF) instrument for measuring quality of life in people with diagnosed type 2 diabetes. Methods. The Amharic version of the abbreviated World Health Organization Quality of Life instrument was administered to 344 patients with diagnosed type 2 diabetes in Felege Hiwot Referral Hospital. Contribution of domain scores to QOL facets was assessed using multiple linear regression. Reliability assessment was done by using Cronbach's alpha coefficient. Construct validity was examined using exploratory and confirmatory factor analyses. Result. The Amharic version of the abbreviated World Health Organization Quality of Life instrument has acceptable internal consistency. Confirmatory factor analysis has shown acceptable goodness of fit for 4 domain models. The physical, psychological, and environmental domains have a statistically significant contribution in explaining overall quality of life, while only physical and psychological domains have significant contribution in explaining the general health facet. Conclusion. The Amharic version of the abbreviated World Health Organization Quality of Life instrument is appropriate for patients with diagnosed type 2 diabetes. The overall finding of analysis implies that the Amharic version of the abbreviated World Health Organization Quality of Life instrument has internal consistency and validity to investigate quality of life among patients with diagnosed type 2 diabetes, and it can be used for studies which are going to be conducted in Ethiopia.

Predictors of Health-Related Quality of Life among Patients with Diabetes Mellitus

Book Chapter, 2021

The health of general population cannot be well characterized from the analyses of mortality and morbidity statistics alone, particularly for patients of chronic diseases including diabetes mellitus. It is equally important to contemplate health in terms of people's assessment of their sense of well-being and ability to perform social roles. A number of reasons are there to measure the health-related quality of life among patients with diabetes mellitus. For one thing, diabetes patients are highly interested in functional capacity and well-being. On the other hand, patients in the same clinical manifestations might have different responses. Either general or specific instruments could be utilized to measure the health-related quality of life of diabetes patients. Choice of the instrument depends on time of the measurement, validity of the instrument and the interpretability. In Ethiopia, short form 36 (SF-36) instruments were utilized and the highest (63.2 AE 34.4) and the lowest (30.2 AE 22.9) mean score scored in physical functioning and general health domain respectively. The study indicated that age, sex, marital status, educational status, feeling of stigmatized, co-morbidity status, chronic complication and body mass index are some of the predictors of health-related quality of life for patients living with diabetes mellitus.

A case-control study of pattern and determinants of quality of life of patients with diabetes in a developing country

Journal of the Egyptian Public Health Association

Background Globally, diabetes is a leading cause of impairment of quality of life. In the sub-Saharan African region, there is a need for studies that provide more valid assessment of effect of diabetes on quality of life (QoL). This study aimed at assessing quality of life among patients with diabetes attending a tertiary health service in Nigeria. Methods The study design was a case-control. Diabetic cases were randomly recruited from the University of Calabar Teaching Hospital, while non-diabetic controls were civil servants and retirees. The validated and pretested WHOQoL-BREF instrument was used to assess quality of life, with higher scores indicating higher quality of life. Results Three hundred and thirty subjects were studied, with mean ages of males and females of 55.2 ± 4.8 and 51.8 ± 6.3 years, respectively. The mean total QoL score was 75.77 ± 11.2, with no significant difference between males and females. Among male and female cases, the mean score of the physical healt...

Health-Related Quality of Life Using EQ-5D-3L Utility Score Among Type 2 Diabetes Patients: Experiences from Tigray Region, Northern Ethiopia

Patient Preference and Adherence, 2022

Patients and Methods: A hospital-based cross-sectional study was conducted among 415 type 2 diabetic patients coming to receive their routine outpatient follow-up service during the study period, from January 1, 2019, to March 31, 2019, in Ayder Comprehensive Specialized Hospital, Northern Ethiopia. The EQ-5D-3L instrument was used to assess the patients' self-reported health status and a multivariable ordinal logistic regression model was used to determine the independent factors associated with the health-related quality of life and P-value <0.05 was used to declare statistical significance. Results: The total mean quality of life score was 0.73 ± 0.23 with the total quality-adjusted life year of 2172.60 per life years and an average of 7.4 years of follow-up with type 2 diabetic treatments. Quality of life of type 2 diabetic patients with level two and three anxious patients were 77% and almost three times more likely to be affected than level one anxious patients (AOR = 1.77; 95% CI 1.23-1.86) and (AOR = 2.74; 95% CI 1.24-2.84) respectively. Older age, occupational status, lower monthly income, long waiting time, and presence of diabetic complications were significantly associated with impaired health-related quality of life. Conclusion: The results of this study revealed a relatively low health status among type 2 diabetic patients. Quality of life of type 2 diabetic patients was mostly affected in the anxiety and depression component. It could be worthwhile if hospitals assign psychiatric professionals for the regular and effective counseling of diabetic patients.