Methods: A total of 279 older adults aged 60 years and above were randomly selected. Respondents were classified as non-frail (<2 criteria) or frail (≥3 criteria) based on the 'phenotype of frailty'. A binary logistic regression was used to determine predictors of frailty.
Results: The prevalence of frailty was 18.3%. The frail older adults were positively associated with advanced age, being unmarried, hospitalisation in the previous year, poor self-rated health, and lower body mass index.
Discussion: These results give an overview on underlying effects and guiding actions for prevention programmes functioning to reverse and minimise the adverse effects of frailty syndrome.
METHODS: A total of 141 patients (77 HD and 64 CAPD) from 1 federal and four state hospitals participated in this cross-sectional study. Patients were randomly selected from the National Renal Registry (NRR) using a stratified random sampling. The EQ-5D-3 L questionnaire was used to measure HRQOL. Variables investigated include dialysis modalities, sociodemographic characteristics, co-morbidities and biochemical markers. Utilities are measured on an ordinal scale of 0-1, where 1 indicates full health and 0 indicates death.
RESULTS: The mean utility scores were 0.854 ± 0.181 and 0.905 ± 0.124 (p > 0.05) and the mean Visual Analogue Scale (VAS) scores were 76.2 ± 12.90 and 77.1 ± 10.26 (p > 0.05) for HD and CAPD patients respectively. There was a significant difference in problems reported between HD (35.1%) and CAPD (15.6%) on usual activities dimension (p = 0.009). The proportion of patients having problems in the pain/discomfort domain in both modalities was high (34.0%). Haemoglobin (
METHODS: This was a cross sectional study design. A total of 347 respondents from low household income groups, including persons with disability and Orang Asli were recruited from E-kasih. A semi-guided self-administered questionnaire was used. QOL measured by EQ. 5D utility value and health status measured by visual analogue score (VAS). Descriptive statistic, bivariate Chi-square analysis and binary logistic regression were conducted to determine factors influencing low QOL and poor health status.
RESULTS: Majority of the respondents were Malay, female (61%), 63% were married, 60% were employed and 46% with total household income of less than 1 thousand Ringgit Malaysia. 70% of them were not having any chronic medical problems. Factors that associated with low QOL were male, single, low household income, and present chronic medical illness, while poor health status associated with female, lower education level and present chronic medical illness. Logistic regression analysis has showed that determinants of low QOL was present chronic illness [AOR 4.15 95%CI (2.42, 7.13)], while determinants for poor health status were; female [AOR 1.94 95%CI (1.09,3.44)], lower education [AOR 3.07 95%CI (1.28,7.34)] and present chronic illness [AOR 2.53 95%CI (1.39,4.61)].
CONCLUSION: Low socioeconomic population defined as low total household income in this study. Low QOL of this population determined by present chronic illness, while poor health status determined by gender, education level and chronic medical illness.
METHODS: An electronic data search in Web of Science, SCOPUS, and PubMed for relevant papers; those written in English; those reporting quantitative data; and those including more than one hundred patients who received just chemotherapy were included. Studies involving participants that received other kinds of anti-neoplastic therapies were excluded.
RESULTS: A total of 35 papers published between January 2000 and December 2021 were retrieved from the search databases of which (11612 patients) met the inclusion criteria. Findings showed that fatigue negatively affected QOL with a pooled prevalence of 49% (95% CI; 25.00-74.00) and the significant heterogeneity between articles was (I²=98%, P <0.001). Further, breast cancer contributed to the majority of selected articles with about 55 % (95%CI; 9:00- 94:00), followed by cancer (unspecified) 44% (95%CI; 5:00 - 92:00). Most studies (71%) (95%CI; 4:00 - 99:00) used the brief fatigue inventory (BFI) tool to assess severity of fatigue and 39% (95%CI; 17:00 -68:00) employed the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire to evaluate QOL among cancer survivors.
CONCLUSION: The prevalence of fatigue in cancer patients is high and fatigue has a negative impact on QOL of cancer patients receiving chemotherapy. Directionality, fatigue needs to be addressed and treated properly for better improvement of health status and QOL in cancer patients.
DATA SOURCE: Six major databases were searched from inception till June 2015: MEDLINE, CINAHL, EMBASE, PsychInfo, SPORTDiscus, and Cochrane Center Register of Controlled Trials.
STUDY APPRAISAL AND SYNTHESIS METHODS: Two reviewers independently rated methodological quality using the modified Downs and Black Scale and extracted and synthesized key findings (i.e., participant characteristics, study design, physical function and fitness outcomes, and adverse events).
RESULTS: Eight of 276 studies met the inclusion criteria, of which none showed high research quality. Four studies assessed physical function outcomes and 4 studies evaluated aerobic fitness as outcome measures. Significant improvements on these 2 outcomes were generally found. Other physical or fitness outcomes including body composition, muscular strength, and balance were rarely reported.
CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: There is weak evidence supporting aquatic exercise training to improve physical function and aerobic fitness among adults with spinal cord injury. Suggestions for future research include reporting details of exercise interventions, evaluating other physical or fitness outcomes, and improving methodological quality.
OBJECTIVES: To determine a CE threshold for health care interventions in Malaysia.
METHODS: A cross-sectional, contingent valuation study was conducted using a stratified multistage cluster random sampling technique in four states in Malaysia. One thousand thirteen respondents were interviewed in person for their socioeconomic background, quality of life, and WTP for a hypothetical scenario.
RESULTS: The CE thresholds established using the nonparametric Turnbull method ranged from MYR12,810 to MYR22,840 (~US $4,000-US $7,000), whereas those estimated with the parametric interval regression model were between MYR19,929 and MYR28,470 (~US $6,200-US $8,900). Key factors that affected the CE thresholds were education level, estimated monthly household income, and the description of health state scenarios.
CONCLUSIONS: These findings suggest that there is no single WTP value for a quality-adjusted life-year. The CE threshold estimated for Malaysia was found to be lower than the threshold value recommended by the World Health Organization.