scholarly journals SOCIO-DEMOGRAPHIC CHARACTERISTICS ASSOCIATED WITH HEALTH-RELATED QUALITY OF LIFE AMONG PATIENTS WITH TYPE 2 DIABETES MELLITUS AT TENWEK HOSPITAL

2021 ◽  
Vol 7 (3) ◽  
pp. 41-50
Author(s):  
V Manyenze ◽  
Lilian Isiaho ◽  
John Okoth

Purpose: To determine socio-demographic characteristics associated with health-related quality of life among patients with type 2 diabetes mellitus at Tenwek hospital. Methodology: This was an analytic cross -sectional study that was done among patients with diabetes mellitus type 2 attending outpatient clinics at Tenwek Hospital. Quantitative approach was used in data collection. Systematic sampling was used to determine 227 participants who participated in the study. Quantitative data was analyzed using descriptive statistics (mean) and Inferential statistics were done using One-Way ANOVA and Factorial ANOVA. Using One-Way ANOVA, p value was used to show whether the difference between the mean is statistically significant. Factorial ANOVA was used to give a summary of the results by bring all the variables and testing their association with the overall health related quality of life (HRQoL)  Findings: Age group, education level and religion were associated with overall health related quality of life with (F = 19.9, p < 0.0001; F = 3.94, p = 0.05; F = 9.46, p = 0.002, respectively). Gender, marital status and occupation were not associated with overall health related quality of life. Unique contribution to theory, practice and policy:  This study has identified socio-demographic characteristics associated with health-related quality of life among patients with type 2 diabetes mellitus. The findings will provide insight to the hospital administration to come up with interventions for creating awareness in the community and identifying cases of type 2 diabetes early so as to save victims at an early stage of disease progression and to prevent development of complications and comorbidities. Also, multi-disciplinary team assessment of HRQoL among patients with type 2 diabetes mellitus early in disease course or as soon as they are diagnosed will help to identify modifiable factors that may help the patient lead an active and healthy life. The study will also establish baseline information for future studies on health- related quality of life and associated factors among patients with diabetes mellitus type 2 at the study site. This study recommends reassessment and expansion of Wilson–Cleary model of health-related quality of life.

2019 ◽  
Vol 28 (5) ◽  
pp. 1179-1190 ◽  
Author(s):  
Bustanul Arifin ◽  
Lusiana Rusdi Idrus ◽  
Antoinette D. I. van Asselt ◽  
Fredrick Dermawan Purba ◽  
Dyah Aryani Perwitasari ◽  
...  

2012 ◽  
Vol 160 (6) ◽  
pp. 911-917 ◽  
Author(s):  
Erinn T. Rhodes ◽  
Michael I. Goran ◽  
Tracy A. Lieu ◽  
Robert H. Lustig ◽  
Lisa A. Prosser ◽  
...  

Author(s):  
Jennifer Vieira Paschoalin Marques ◽  
Carla Regina de Souza Teixeira ◽  
Maria Lúcia Zanetti ◽  
Luciana Kusumota ◽  
Tânia Alves Canata Becker ◽  
...  

Objective: The purpose of this study was to investigate the health-related quality of life and clinical parameters of patients with type 2 diabetes mellitus. Methods: This is a cross-sectional study with a quantitative approach, which was undertaken with 73 patients with type 2 diabetes mellitus in a health unit of the Sistema Único de Saúde (SUS) [Brazilian Unified Health System] in Ribeirão Preto city, São Paulo State, Brazil, in 2016. The DQOL-Brazil questionnaire, which covers the domains of satisfaction, impact, social and/or vocational concerns, and concerns about diabetes mellitus, was used for data collection. Results: Most of the participants were female, married, and retired with an average age of 62.7 years old. The domain of vocational and/or social concerns had the best score for quality of life while satisfaction had the worst. The quality of life of patients with altered glycated hemoglobin levels was worse than that of patients without such alterations. For those with unchanged hemoglobin glycated levels, the domain of social and/or vocational concerns had the best quality of life scores while the domain of satisfaction had the worst. Conclusion: The results can help the development of intervention studies and strategic plans in health services.


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