Factors associated with quality-of-life among Kuwaiti patients on maintenance hemodialysis

Albatineh, Ahmed N.; Ibrahimou, Boubakari

doi:10.1080/13548506.2019.1620299

Cited by 12 publications

(11 citation statements)

References 30 publications

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“…Table 1 summarizes the general characteristics of the studies. In total, 27 studies described employment in kidney failure patients during dialysis [ 17 – 43 ], 25 addressed employment after kidney transplantation [ 3 , 4 , 12 , 13 , 44 – 64 ], and 6 [ 14 , 65 – 69 ] addressed both dialysis and kidney transplantation. In total, 33 studies regarding dialysis and 31 regarding kidney transplantation were included, with a total of 162,059 and 137,742 participants, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Most of the studies (81%) were cross-sectional in design, analysing data at a specific point in time. The cross-sectional studies [ 3 , 12 – 14 , 17 – 19 , 21 , 22 , 24 – 39 , 41 – 49 , 51 , 54 , 55 , 57 , 59 , 61 – 64 , 66 – 69 ] were small to medium sized with a median of 139–233 participants for kidney transplant and dialysis patients, while the cohort studies [ 4 , 20 , 23 , 40 , 50 , 52 , 53 , 56 , 58 , 60 , 65 ] were mainly larger population studies (median of 2103 for dialysis patients and 1254 for kidney transplant patients). More than half of the studies were single-centre studies, and the studies were mainly from high-income countries.…”

Section: Resultsmentioning

confidence: 99%

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Employment of patients with kidney failure treated with dialysis or kidney transplantation—a systematic review and meta-analysis

et al. 2021

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Background Patients with kidney failure treated with dialysis or kidney transplantation experience difficulties maintaining employment due to the condition itself and the treatment. We aimed to establish the rate of employment before and after initiation of dialysis and kidney transplantation and to identify predictors of employment during dialysis and posttransplant. Methods This systematic review and meta-analysis were carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for studies that included employment rate in adults receiving dialysis or a kidney transplant. The literature search included cross-sectional or cohort studies published in English between January 1966 and August 2020 in the PubMed, Embase, and Cochrane Library databases. Data on employment rate, study population, age, gender, educational level, dialysis duration, kidney donor, ethnicity, dialysis modality, waiting time for transplantation, diabetes, and depression were extracted. Quality assessment was performed using the Newcastle–Ottawa Scale. Meta-analysis for predictors for employment, with odds ratios and confidence intervals, and tests for heterogeneity, using chi-square and I2 statistics, were calculated. PROSPERO registration number: CRD42020188853. Results Thirty-three studies included 162,059 participants receiving dialysis, and 31 studies included 137,742 participants who received kidney transplantation. Dialysis patients were on average 52.6 years old (range: 16–79; 60.3% male), and kidney transplant patients were 46.7 years old (range: 18–78; 59.8% male). The employment rate (weighted mean) for dialysis patients was 26.3% (range: 10.5–59.7%); the employment rate was 36.9% pretransplant (range: 25–86%) and 38.2% posttransplant (range: 14.2–85%). Predictors for employment during dialysis and posttransplant were male, gender, age, being without diabetes, peritoneal dialysis, and higher educational level, and predictors of posttransplant: pretransplant employment included transplantation with a living donor kidney, and being without depression. Conclusions Patients with kidney failure had a low employment rate during dialysis and pre- and posttransplant. Kidney failure patients should be supported through a combination of clinical and social measures to ensure that they remain working.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Employment of patients with kidney failure treated with dialysis or kidney transplantation—a systematic review and meta-analysis

et al. 2021

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“…Assessing the QOL of ESRD patients undergoing maintenance hemodialysis can help clinicians understand the general condition of patients, therefore, can guide administrations towards specific, context-sensitive, and appropriate interventions to promote this population' QOL, which could prevent the progress of psychological issues and ultimately improve the QOL. Several studies have shown that the QOL of patients undergoing maintenance hemodialysis is generally lower than the general population (32,33). Published study indicated that emotional symptoms are related directly with impaired QOL in patients undergoing maintenance hemodialysis (34).…”

Section: Discussionmentioning

confidence: 99%

Mental health status and quality of life in patients with end-stage renal disease undergoing maintenance hemodialysis

Ma¹,

Tang²,

Chen³

et al. 2021

Ann Palliat Med

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Background: This study aimed to identify the association of factors and poorer mental health status and examinate the correlation between mental health status and quality of life (QOL) in patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis.Methods: A total of 190 patients were included in this observational, cross-sectional study. Psychological states of ESRD patients undergoing maintenance hemodialysis were evaluated by the Chinese version symptom checklist-90 (SCL-90) and QOL was assessed using the Chinese Version Kidney Disease Quality of Life-Short Form (KDQOL-SF).Results: A total of 190 patients with a mean age of 61.68 (13.39) years were included in this study. Multiple stepwise linear regression analyses suggested that when controlling for the confounding variables, prealbumin had the significant influence on average positive factors (Coef.

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“…Scores for each scale were later summed up and categorized as normal, mild, moderate, severe, and extremely severe. For depression, the total scoring was categorized as follows: normal (0-9), mild (10-13), moderate (14)(15)(16)(17)(18)(19)(20), severe (21)(22)(23)(24)(25)(26)(27), and extremely severe (more than 28). For anxiety, the total scoring was categorized as normal (0-7), mild (8)(9), moderate (10)(11)(12)(13)(14), severe (15)(16)(17)(18)(19), and extremely severe (more than 20).…”

Section: Methodsmentioning

confidence: 99%

“…Studies in the general population had shown that factors and predictors such as older age (12), depression (13), anxiety (14)(15)(16)(17), stress (18), chronic medical illness (19)(20)(21)(22)(23), poor financial status (24)(25)(26), low level of education (27,28), being single (29), family problem (30)(31)(32), and poor job satisfaction (33,34) may negatively affect QOL (35,36). However, there are limited data available pertaining to QOL among university staff.…”

Section: Introductionmentioning

confidence: 99%

The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life

et al. 2021

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Experiencing good quality of life (QOL) among university staff is extremely crucial to ensuring academic excellence; however, there are limited data on factors that contribute to QOL among university staff. This study aims to determine the level and the predictors for good QOL among university staff. The consenting participants were selected using a stratified sampling method. Participants who had fulfilled the selection criteria were provided with socio-demographic, medical illness, job factor, and family background questionnaires. QOL and psychological well-being (depression, anxiety, and stress) were assessed using the World Health Organization Quality of Life brief version (WHOQOL-BREF) and Depression, Anxiety, and Stress Scale (DASS-21) questionnaires, respectively. A total of 278 staff (mean ± SD age: 38.84 ± 7.85 years, 44.2% males, 82.7% married) had participated in this study. This study found that participants had low QOL in the domains of physical health [P-QOL] (11.2%), psychological health [PSY-QOL] (9.7%), social relationships [SR-QOL] (19.1%), and environment [E-QOL] (14.4%). The predictors of P-QOL were depression, medical illness, and number of dependents, while those of PSY-QOL were work promotion, depression, medical illness, and number of dependents. Additionally, the predictors of SR-QOL were campus location, depression, and work promotion, while those of E-QOL were age, level of education, depression, work promotion, and medical illness. Depression significantly affected all domains of QOL. Younger participants without medical illness and those with tertiary level of education had increased odds of having good QOL. Participants having dependents without work promotion and employed in suburban areas had decreased odds of having good QOL. The relevant authority should be identified and then assist staff with difficulties to ensure the staff benefited from having a good QOL.

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Factors associated with quality-of-life among Kuwaiti patients on maintenance hemodialysis

Cited by 12 publications

References 30 publications

Employment of patients with kidney failure treated with dialysis or kidney transplantation—a systematic review and meta-analysis

Employment of patients with kidney failure treated with dialysis or kidney transplantation—a systematic review and meta-analysis

Mental health status and quality of life in patients with end-stage renal disease undergoing maintenance hemodialysis

The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life

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