Displaying all 11 publications

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  1. Poudel A, Kc B, Shrestha S, Nissen L
    J Glob Health, 2019 12;9(2):020309.
    PMID: 31656599 DOI: 10.7189/jogh.09.020309
    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  2. Palagyi A, Balane C, Shanthosh J, Jun M, Bhoo-Pathy N, Gadsden T, et al.
    Int J Cancer, 2021 02 15;148(4):895-904.
    PMID: 32875569 DOI: 10.1002/ijc.33279
    In this systematic review and meta-analyses, we sought to determine sex-disparities in treatment abandonment in children with cancer in low- and middle-income countries (LMICs) and identify the characteristics of children and their families most disadvantaged by such abandonment. Sex-disaggregated data on treatment abandonment were collated from the available literature and a random-effects meta-analysis was conducted to compare the rates in girls with those in boys. Subgroup analyses were conducted in which studies were stratified by design, cancer type and the Gender Inequality Index of the country of study. Eighteen studies were included in the systematic review and of these studies, 16 qualified for the meta-analysis, representing 10 754 children. The pooled rate of treatment abandonment overall was 30%. We observed no difference in the proportion of treatment abandonment in girls relative to estimates observed in boys (rate ratio [RR] 0.95, 95% CI: 0.79-1.15; P = .61). There was significant heterogeneity across the included studies and in the pooled estimate of RR for girls vs boys (both I2 > 98%). Subgroup analyses did not reveal any effect on abandonment risk. Risk factors for abandonment observed fell into three main categories: socio-demographic; geographic; and travel-related. In conclusion, a high rate of treatment abandonment (30%) was observed overall for children with cancer in included studies in LMICs, although this was variable and context specific. No evidence of gender bias in childhood cancer treatment abandonment rates across LMICs was found. Given that the risk factors for abandonment are context specific, in-depth country-level analyses may provide further insights into the role of a child's gender in treatment abandonment decisions.
    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  3. Kamal SM, Hassan CH, Kabir MA
    Asia Pac J Public Health, 2015 Mar;27(2):NP1321-32.
    PMID: 23572376 DOI: 10.1177/1010539513483823
    This study examines the inequality of the use of skilled delivery assistance by the rural women of Bangladesh using the 2007 Bangladesh Demographic and Health Survey data. Simple cross-tabulation and univariate and multivariate statistical analyses were employed in the study. Overall, 56.1% of the women received at least one antenatal care visit, whereas only 13.2% births were assisted by skilled personnel. Findings revealed apparent inequality in using skilled delivery assistance by socioeconomic strata. Birth order, women's education, religion, wealth index, region and antenatal care are important determinants of seeking skilled assistance. To ensure safe motherhood initiative, government should pay special attention to reduce inequality in seeking skilled delivery assistance. A strong focus on community-based and regional interventions is important in order to increase the utilization of safe maternal health care services in rural Bangladesh.
    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  4. Rannan-Eliya RP, Anuranga C, Manual A, Sararaks S, Jailani AS, Hamid AJ, et al.
    Health Aff (Millwood), 2016 May 01;35(5):838-46.
    PMID: 27140990 DOI: 10.1377/hlthaff.2015.0863
    Malaysia has made substantial progress in providing access to health care for its citizens and has been more successful than many other countries that are better known as models of universal health coverage. Malaysia's health care coverage and outcomes are now approaching levels achieved by member nations of the Organization for Economic Cooperation and Development. Malaysia's results are achieved through a mix of public services (funded by general revenues) and parallel private services (predominantly financed by out-of-pocket spending). We examined the distributional aspects of health financing and delivery and assessed financial protection in Malaysia's hybrid system. We found that this system has been effective for many decades in equalizing health care use and providing protection from financial risk, despite modest government spending. Our results also indicate that a high out-of-pocket share of total financing is not a consistent proxy for financial protection; greater attention is needed to the absolute level of out-of-pocket spending. Malaysia's hybrid health system presents continuing unresolved policy challenges, but the country's experience nonetheless provides lessons for other emerging economies that want to expand access to health care despite limited fiscal resources.
    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  5. Hosseinpoor AR, Nambiar D, Schlotheuber A, Reidpath D, Ross Z
    BMC Med Res Methodol, 2016 10 19;16(1):141.
    PMID: 27760520
    BACKGROUND: It is widely recognised that the pursuit of sustainable development cannot be accomplished without addressing inequality, or observed differences between subgroups of a population. Monitoring health inequalities allows for the identification of health topics where major group differences exist, dimensions of inequality that must be prioritised to effect improvements in multiple health domains, and also population subgroups that are multiply disadvantaged. While availability of data to monitor health inequalities is gradually improving, there is a commensurate need to increase, within countries, the technical capacity for analysis of these data and interpretation of results for decision-making. Prior efforts to build capacity have yielded demand for a toolkit with the computational ability to display disaggregated data and summary measures of inequality in an interactive and customisable fashion that would facilitate interpretation and reporting of health inequality in a given country.

    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.

    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  6. Cameron NA, Molsberry R, Pierce JB, Perak AM, Grobman WA, Allen NB, et al.
    J Am Coll Cardiol, 2020 Dec 01;76(22):2611-2619.
    PMID: 33183896 DOI: 10.1016/j.jacc.2020.09.601
    BACKGROUND: Rates of maternal mortality are increasing in the United States with significant rural-urban disparities. Pre-pregnancy hypertension is a well-established risk factor for adverse maternal and offspring outcomes.

    OBJECTIVES: The purpose of this study was to describe trends in maternal pre-pregnancy hypertension among women in rural and urban areas in 2007 to 2018 in order to inform community-engaged prevention and policy strategies.

    METHODS: We performed a nationwide, serial cross-sectional study using maternal data from all live births in women age 15 to 44 years between 2007 and 2018 (CDC Natality Database). Rates of pre-pregnancy hypertension were calculated per 1,000 live births overall and by urbanization status. Subgroup analysis in standard 5-year age categories was performed. We quantified average annual percentage change using Joinpoint Regression and rate ratios (95% confidence intervals [CIs]) to compare yearly rates between rural and urban areas.

    RESULTS: Among 47,949,381 live births to women between 2007 and 2018, rates of pre-pregnancy hypertension per 1,000 live births increased among both rural (13.7 to 23.7) and urban women (10.5 to 20.0). Two significant inflection points were identified in 2010 and 2016, with highest annual percentage changes between 2016 and 2018 in rural and urban areas. Although absolute rates were lower in younger compared with older women in both rural and urban areas, all age groups experienced similar increases. The rate ratios of pre-pregnancy hypertension in rural compared with urban women ranged from 1.18 (95% CI: 1.04 to 1.35) for ages 15 to 19 years to 1.51 (95% CI: 1.39 to 1.64) for ages 40 to 44 years in 2018.

    CONCLUSIONS: Maternal burden of pre-pregnancy hypertension has nearly doubled in the past decade and the rural-urban gap has persisted.

    Matched MeSH terms: Healthcare Disparities/statistics & numerical data
  7. Murphy A, Palafox B, O'Donnell O, Stuckler D, Perel P, AlHabib KF, et al.
    Lancet Glob Health, 2018 Mar;6(3):e292-e301.
    PMID: 29433667 DOI: 10.1016/S2214-109X(18)30031-7
    BACKGROUND: There is little evidence on the use of secondary prevention medicines for cardiovascular disease by socioeconomic groups in countries at different levels of economic development.

    METHODS: We assessed use of antiplatelet, cholesterol, and blood-pressure-lowering drugs in 8492 individuals with self-reported cardiovascular disease from 21 countries enrolled in the Prospective Urban Rural Epidemiology (PURE) study. Defining one or more drugs as a minimal level of secondary prevention, wealth-related inequality was measured using the Wagstaff concentration index, scaled from -1 (pro-poor) to 1 (pro-rich), standardised by age and sex. Correlations between inequalities and national health-related indicators were estimated.

    FINDINGS: The proportion of patients with cardiovascular disease on three medications ranged from 0% in South Africa (95% CI 0-1·7), Tanzania (0-3·6), and Zimbabwe (0-5·1), to 49·3% in Canada (44·4-54·3). Proportions receiving at least one drug varied from 2·0% (95% CI 0·5-6·9) in Tanzania to 91·4% (86·6-94·6) in Sweden. There was significant (p<0·05) pro-rich inequality in Saudi Arabia, China, Colombia, India, Pakistan, and Zimbabwe. Pro-poor distributions were observed in Sweden, Brazil, Chile, Poland, and the occupied Palestinian territory. The strongest predictors of inequality were public expenditure on health and overall use of secondary prevention medicines.

    INTERPRETATION: Use of medication for secondary prevention of cardiovascular disease is alarmingly low. In many countries with the lowest use, pro-rich inequality is greatest. Policies associated with an equal or pro-poor distribution include free medications and community health programmes to support adherence to medications.

    FUNDING: Full funding sources listed at the end of the paper (see Acknowledgments).

    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  8. Giuliano JS, Markovitz BP, Brierley J, Levin R, Williams G, Lum LC, et al.
    Pediatr Crit Care Med, 2016 06;17(6):522-30.
    PMID: 27124566 DOI: 10.1097/PCC.0000000000000760
    OBJECTIVES: Pediatric severe sepsis remains a significant global health problem without new therapies despite many multicenter clinical trials. We compared children managed with severe sepsis in European and U.S. PICUs to identify geographic variation, which may improve the design of future international studies.

    DESIGN: We conducted a secondary analysis of the Sepsis PRevalence, OUtcomes, and Therapies study. Data about PICU characteristics, patient demographics, therapies, and outcomes were compared. Multivariable regression models were used to determine adjusted differences in morbidity and mortality.

    SETTING: European and U.S. PICUs.

    PATIENTS: Children with severe sepsis managed in European and U.S. PICUs enrolled in the Sepsis PRevalence, OUtcomes, and Therapies study.

    INTERVENTIONS: None.

    MEASUREMENTS AND MAIN RESULTS: European PICUs had fewer beds (median, 11 vs 24; p < 0.001). European patients were younger (median, 1 vs 6 yr; p < 0.001), had higher severity of illness (median Pediatric Index of Mortality-3, 5.0 vs 3.8; p = 0.02), and were more often admitted from the ward (37% vs 24%). Invasive mechanical ventilation, central venous access, and vasoactive infusions were used more frequently in European patients (85% vs 68%, p = 0.002; 91% vs 82%, p = 0.05; and 71% vs 50%; p < 0.001, respectively). Raw morbidity and mortality outcomes were worse for European compared with U.S. patients, but after adjusting for patient characteristics, there were no significant differences in mortality, multiple organ dysfunction, disability at discharge, length of stay, or ventilator/vasoactive-free days.

    CONCLUSIONS: Children with severe sepsis admitted to European PICUs have higher severity of illness, are more likely to be admitted from hospital wards, and receive more intensive care therapies than in the United States. The lack of significant differences in morbidity and mortality after adjusting for patient characteristics suggests that the approach to care between regions, perhaps related to PICU bed availability, needs to be considered in the design of future international clinical trials in pediatric severe sepsis.

    Matched MeSH terms: Healthcare Disparities/statistics & numerical data
  9. Saxena N, Hartman M, Bhoo-Pathy N, Lim JN, Aw TC, Iau P, et al.
    World J Surg, 2012 Dec;36(12):2838-46.
    PMID: 22926282 DOI: 10.1007/s00268-012-1746-2
    There are large differences in socio-economic growth within the region of South East Asia, leading to sharp contrasts in health-systems development between countries. This study compares breast cancer presentation and outcome between patients from a high income country (Singapore) and a middle income country (Malaysia) in South East Asia.
    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  10. Lim JN, Potrata B, Simonella L, Ng CW, Aw TC, Dahlui M, et al.
    BMJ Open, 2015 Dec 21;5(12):e009863.
    PMID: 26692558 DOI: 10.1136/bmjopen-2015-009863
    OBJECTIVE: To explore and compare barriers to early presentation of self-discovered breast cancer in Singapore and Malaysia.

    DESIGN: A qualitative interview study with thematic analysis of transcripts.

    PARTICIPANTS: 67 patients with self-discovered breast symptoms were included in the analysis. Of these, 36% were of Malay ethnicity, 39% were Chinese and 25% Indian, with an average age of 58 years (range 24-82 years). The number of women diagnosed at early stages of cancer almost equalled those at advanced stages. Approximately three-quarters presented with a painless lump, one-quarter experienced a painful lump and 10% had atypical symptoms.

    SETTING: University hospital setting in Singapore and Malaysia.

    RESULTS: Patients revealed barriers to early presentation not previously reported: the poor quality of online website information about breast symptoms, financial issues and the negative influence of relatives in both countries, while perceived poor quality of care and services in state-run hospitals and misdiagnosis by healthcare professionals were reported in Malaysia. The pattern of presentation by ethnicity remained unchanged where more Malay delayed help-seeking and had more advanced cancer compared to Chinese and Indian patients.

    CONCLUSIONS: There are few differences in the pattern of presentation and in the reported barriers to seek medical care after symptom discovery between Singapore and Malaysia despite their differing economic status. Strategies to reduce delayed presentation are: a need to improve knowledge of disease, symptoms and causes, quality of care and services, and quality of online information; and addressing fear of diagnosis, treatment and hospitalisation, with more effort focused on the Malay ethnic group. Training is needed to avoid missed diagnoses and other factors contributing to delay among health professionals.

    Matched MeSH terms: Healthcare Disparities/statistics & numerical data*
  11. Tan AKG, Dunn RA, Yen ST
    Metab Syndr Relat Disord, 2011 Dec;9(6):441-51.
    PMID: 21815810 DOI: 10.1089/met.2011.0031
    BACKGROUND: This study investigates ethnic disparities in metabolic syndrome in Malaysia.
    METHODS: Data were obtained from the Malaysia Non-Communicable Disease Surveillance-1 (2005/2006). Logistic regressions of metabolic syndrome health risks on sociodemographic and health-lifestyle factors were conducted using a multiracial (Malay, Chinese, and Indian and other ethnic groups) sample of 2,366 individuals.
    RESULTS: Among both males and females, the prevalence of metabolic syndrome amongst Indians was larger compared to both Malays and Chinese because Indians are more likely to exhibit central obesity, elevated fasting blood glucose, and low high-density lipoprotein cholesterol. We also found that Indians tend to engage in less physical activity and consume fewer fruits and vegetables than Malays and Chinese. Although education and family history of chronic disease are associated with metabolic syndrome status, differences in socioeconomic attributes do not explain ethnic disparities in metabolic syndrome incidence. The difference in metabolic syndrome prevalence between Chinese and Malays was not statistically significant. Whereas both groups exhibited similar obesity rates, ethnic Chinese were less likely to suffer from high fasting blood glucose.
    CONCLUSIONS: Metabolic syndrome disproportionately affects Indians in Malaysia. Additionally, fasting blood glucose rates differ dramatically amongst ethnic groups. Attempts to decrease health disparities among ethnic groups in Malaysia will require greater attention to improving the metabolic health of Malays, especially Indians, by encouraging healthful lifestyle changes.
    Study name: Malaysia Non-Communicable Disease Surveillance-1 (MyNCDS-1) survey
    Matched MeSH terms: Healthcare Disparities/statistics & numerical data
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