Browsing by Author "Mahmoud, Tahani Amin"

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Exploring the quality of life of end-stage kidney disease patients in Khartoum State, Sudan: a multicenter cross-sectional study
(BMC Nephrology, 2025) Hajomer, Hiba Ali Elzaki; Elkhidir, Osama Ahmed; Elawad, Sara; Ahmed, Ahmed Balla M.; Elawad, Shaima Omer Mohamed; Elbadawi, Mohamed H.; Elhassan, Wael Atif Fadl; Mohamed, Rafa Awad Gasimelseed; Ali, Kamil Merghani; Mahmoud, Tahani Amin; Kheir, Sarra Mohamed
Background Given the rising incidence of end-stage kidney disease (ESKD) in Sudan, assessing health-related quality of life (HRQOL) is critical for evaluating patient outcomes. This study evaluated HRQOL and associated factors in end stage kidney disease patients in Khartoum State renal centers in Sudan. Methods This cross-sectional study administered the Kidney Disease Quality of Life Short Form (KDQOL-SF™) to 150 ESKD patients on maintenance dialysis for ≥ one month across 13 renal centers in Khartoum State. Data were analyzed using SPSS Statistics. Independent t-tests, ANOVA, Pearson correlation, and multiple regression analyses were conducted to assess associations. The p-value was set at 0.05 for statistical significance. Results The Physical (40.17 ± 9.01) and Mental (47.10 ± 9.86) Component scores significantly affected HRQOL in ESKD patients. The lowest scores were observed for burden of kidney disease (31.25 ± 38) and work status (0.00 ± 50). The SF-12 Physical Component was associated with employment status (p < 0.001) and dialysis accompaniment (p = 0.011). Diabetes comorbidity affected the Mental Component (p = 0.017). Hospitalization frequency showed significant negative correlations with the SF-12 Mental Component (r = -0.249), burden of kidney disease (r = -0.330), effects of kidney disease (r = -0.303), and Kidney Disease Component Summary (r = -0.247). In the multiple regression model for the SF-12 Physical Component, age group was the only significant factor (p = 0.023). Conclusion Both physical and mental health domains were significantly impaired in the studied ESKD population. The lowest scores were observed for disease burden and work status. Enhancing healthcare access, addressing comorbidities, and reducing financial strain may improve outcomes. Further longitudinal and case-control studies are warranted to clarify determinants of HRQOL.
The burden of end-stage renal disease in Khartoum, Sudan: cost of illness study
(Journal of Medical Economics, 2024) Hajomer, Hiba Ali; Elkhidir, Osama Ahmed; Elawad, Shaima Omer; Elniema, Ola Hatim; Khalid, Mustafa Khalid; Altayib, Lina S.; Abdalla, Ibrahim Ahmed; Mahmoud, Tahani Amin
Background and purpose: The incidence of end-stage renal disease (ESRD) in Sudan is increasing, affecting the economic status of patients, caregivers and society. This study aimed to measure ESRD’s costs, including direct and morbidity indirect expenditures, and to investigate any associated factors and financial consequences. Materials and methods: This cross-sectional study used a standardized questionnaire to collect data from 150 ESRD patients who had been receiving dialysis for at least one year before the time of data collection at 13 specialized renal centres in Khartoum state. Data about sociodemographic, clinical, and economic factors were gathered, and their relationship to the cost of ESRD was examined using both bivariate (Man Whitney test, Kruskal Wallis test and Spearman correlation) and multivariate ana lytical procedures (multivariate linear regression). Results: This study reported a median direct per capita ESRD cost of 38 600 SDG ($1 723.2 PPP) annu ally with an interquartile range of 69 319.3 SDG ($3 094.6 PPP). The median morbidity indirect cost was estimated to be 0.0±3 352 SDG ($ 0.0±149.6 PPP) per annum. In 28.8% of cases, the patients were their family’s primary income earner and over 85% were covered by medical insurance. Our study found that none of the study variables were significantly associated with the total cost of ESRD. Conclusion and limitations: Our findings point out considerable direct out-of-pocket expenses and productivity losses for patients and their households. However, these results should be carefully applied for comparison between the different countries due to differences in the cost of medical inter ventions and insurance coverage. Further longitudinal studies and studies on health finance and insur ance policies are recommended.