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.
PATIENTS AND METHODS: The validity and reliability of the Mal-HRQOL-20 were assessed in patients with and without lower urinary tract symptoms (LUTS). The reliability was evaluated using the test-retest method and the internal consistency using Cronbach's alpha. Sensitivity to change was expressed as the effect size in the score before and after intervention in additional patients with LUTS who underwent transurethral resection of the prostate.
RESULTS: The internal consistency was excellent; there was a high degree of internal consistency for each of the 20 items and for the overall score (Cronbach's alpha > or = 0.57 and 0.79, respectively) in the population study. The test-retest correlation coefficient for the 20 item scores was highly significant. The intra-class correlation coefficient was high (> or = 0.55). The sensitivity and specificity were high for the effects of treatment. There was a very significant agreement between scores before and after treatment across all domains in the treatment cohort, but not in the control group.
CONCLUSION: The Mal-HRQOL-20 is suitable, reliable, valid and sensitive to clinical change in the Malaysian population.
METHODS/DESIGN: This is a cross sectional multi centre study. Three hospitals were included, the University of Malaya Medical Centre, the Universiti Kebangsaan Malaysia Medical Centre and Hospital Tuanku Jaafar Seremban. Malaysian citizens and permanent residence were studied and demographic and clinical information obtained from hospital records. The European Organization for Research and Treatment of Cancer Quality of life Core 30, colorectal cancer CR29, and the colorectal cancer liver metastasis LMC 21 were used and an observer assessment of performance obtained with the Karnofsky Performance Scale. Questionnaires were translated into three most commonly spoken languages in Malaysia (Bahasa Malaysia, Chinese and Tamil), then administered, scored and analyzed following the developers' guidelines. Ethical approval was obtained from the participating centres. Tests of reliability and validity were performed to examine the validity of these instruments.
CONCLUSION: The result of pilot testing shows that the use of the Malaysian versions of EORTC QLQ C30, CR29 instruments is feasible in our sample of colorectal cancer patients. Instructions for completion as well as questions were well understood except the questions on the overall quality of life, overall health status and sexual activity. Thus we anticipate obtaining good psychometric properties for the instruments at the end of the study.
METHODS: The study was conducted among 1010 women who were registered as migrant returnees at an organisation called Pourakhi Nepal. Secondary data were extracted from the records of the organisation covering the five-year period of July 2009 to July 2014.
RESULTS: The 1010 participants were aged 14 to 51 with a median age of 31 (IQR: 38-25) years. A quarter of respondents (24%) reported having experienced health problems while in the country of employment. Fever, severe illness and accidents were the most common health problems reported. Working for unlimited periods of time and not being able to change one's place of work were independently associated with a greater likelihood of health problems. Logistic regression shows that migrant women who are illiterate [OR = 1.56, 95% CI: 1.02 to 2.38, p = 0.042], who had changed their workplace [OR = 1.63, 95% CI: 1.14 to 2.32, p = 0.007], who worked unlimited periods of time [OR = 1.64, 95% CI: 1.44 to 1.93, p = 0.020], had been severely maltreated or tortured in the workplace [OR = 1.84, 95% CI: 1.15 to 2.92, p = 0.010], were not being paid on time [OR = 2.38, 95% CI: 1.60 to 3.55, p = 0.038] and migrant women who had family problems at home [OR = 3.48, CI 95%: 1.22 to 9.98, p = 0.020] were significantly associated with health problems in their host country in the Middle East.
CONCLUSION: Female migrant workers face various work-related health risks, which are often related to exploitation. The Government of Nepal should initiate awareness campaigns about health risks and rights in relation to health care services in the host countries. Recruiting agencies/employers should provide information on health risks and training for preventive measures. Raising awareness among female migrant workers can make a change in their working lives.
METHODS: To answer this demand, the Health Equity Assessment Toolkit (HEAT), was developed between 2014 and 2016. The software, which contains the World Health Organization's Health Equity Monitor database, allows the assessment of inequalities within a country using over 30 reproductive, maternal, newborn and child health indicators and five dimensions of inequality (economic status, education, place of residence, subnational region and child's sex, where applicable).
RESULTS/CONCLUSION: HEAT was beta-tested in 2015 as part of ongoing capacity building workshops on health inequality monitoring. This is the first and only application of its kind; further developments are proposed to introduce an upload data feature, translate it into different languages and increase interactivity of the software. This article will present the main features and functionalities of HEAT and discuss its relevance and use for health inequality monitoring.
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 cross-sectional study had randomly and systematically recruited facial burn patients from the Burn Care Center, Pakistan Institute of Medical Sciences, Islamabad, from June of 2016 to July of 2017. Intraoral examination recorded the DMFT, CPI and OHI-S. Information on the socio-demographic status, self-perceived oral health, oral health behaviours were collected using a self-administered questionnaire and; the burn characteristics were obtained from the patients' medical record. The t-test, ANOVA, SLR, and chi-square test were used to examine the relationship between oral health and each factor. A parameter was derived from the clinical indices using the principal component analysis and used in the multiple linear regression analysis to determine the important factors associated with oral health status.
RESULTS: A total of 271 burn patients (69% female and 31% male) had participated in the study. All of the participants had caries with mean DMFT = 10.96 (95%CI: 10.67, 11.25). There were 59.0% (95%CI: 53.15, 64.93%) and 66.1% (95%CI: 60.38, 71.73%) of the participants who had periodontitis and poor oral hygiene respectively. About 79 and 80% of the participants rated their dental and periodontal status as poor. About 78% reported brushing once daily and 89% did not practice regular dental visit. The DMFT, CPI and OHI-S were associated with the burn characteristics and oral health behaviours (p health services. Greater burn severity, the longer time elapsed since the burn incident, and dental anxiety were associated with poorer oral health status and; brushing twice or more and regular dental visit, with better status (p health and, the risks are greater in those with a more severe and wider area of injury, the longer time elapsed since the burn incident and dental anxiety; but a good oral hygiene practice and regular dental visits were protective against the risk.
METHODS: Body composition, bone mineral density (BMD), and bone mineral content (BMC) at the lumbar spine (LS) and total body (TB) were assessed using dual-energy X-ray absorptiometry (DXA). Calcium intake was assessed using 1-week diet history, MET (metabolic equivalent of task) score using cPAQ physical activity questionnaire, and serum 25(OH) vitamin D using LC-MS/MS.
RESULTS: The mean calcium intake was 349 ± 180 mg/day and mean serum 25(OH)D level was 43.9 ± 14.5 nmol/L. In boys, lean mass (LM) was a significant predictor of LSBMC (β = 0.539, p