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  1. 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/economics
  2. Yip CH, Taib NA
    Climacteric, 2014 Dec;17 Suppl 2:54-9.
    PMID: 25131779 DOI: 10.3109/13697137.2014.947255
    Breast cancer is one of the leading cancers world-wide. While the incidence in developing countries is lower than in developed countries, the mortality is much higher. Of the estimated 1 600 000 new cases of breast cancer globally in 2012, 794 000 were in the more developed world compared to 883 000 in the less developed world; however, there were 198 000 deaths in the more developed world compared to 324 000 in the less developed world (data from Globocan 2012, IARC). Survival from breast cancer depends on two main factors--early detection and optimal treatment. In developing countries, women present with late stages of disease. The barriers to early detection are physical, such as geographical isolation, financial as well as psychosocial, including lack of education, belief in traditional medicine and lack of autonomous decision-making in the male-dominated societies that prevail in the developing world. There are virtually no population-based breast cancer screening programs in developing countries. However, before any screening program can be implemented, there must be facilities to treat the cancers that are detected. Inadequate access to optimal treatment of breast cancer remains a problem. Lack of specialist manpower, facilities and anticancer drugs contribute to the suboptimal care that a woman with breast cancer in a low-income country receives. International groups such as the Breast Health Global Initiative were set up to develop economically feasible, clinical practice guidelines for breast cancer management to improve breast health outcomes in countries with limited resources.
    Matched MeSH terms: Healthcare Disparities/economics
  3. Jan S, Lee SW, Sawhney JPS, Ong TK, Chin CT, Kim HS, et al.
    BMC Cardiovasc Disord, 2018 07 04;18(1):139.
    PMID: 29973147 DOI: 10.1186/s12872-018-0859-4
    BACKGROUND: The EPICOR Asia (long-tErm follow-uP of antithrombotic management patterns In acute CORonary syndrome patients in Asia) study (NCT01361386) was an observational study of patients hospitalized for acute coronary syndromes (ACS) enrolled in 218 hospitals in eight countries/regions in Asia. This study examined costs, length of stay and the predictors of high costs during an ACS hospitalization.

    METHODS AND RESULTS: Data for patients hospitalized for an ACS (n = 12,922) were collected on demographics, medical history, event characteristics, socioeconomic and insurance status at discharge. Patients were followed up at 6 weeks' post-hospitalization for an ACS event to assess associated treatment costs from a health sector perspective. Primary outcome was the incurring of costs in the highest quintile by country and index event diagnosis, and identification of associated predictors. Cost data were available for 10,819 patients. Mean length of stay was 10.1 days. The highest-cost countries were China, Singapore, and South Korea. Significant predictors of high-cost care were age, male sex, income, country, prior disease history, hospitalization in 3 months before index event, no dependency before index event, having an invasive procedure, hospital type and length of stay.

    CONCLUSIONS: Substantial variability exists in healthcare costs for hospitalized ACS patients across Asia. Of concern is the observation that the highest costs were reported in China, given the rapidly increasing numbers of procedures in recent years.

    TRIAL REGISTRATION: NCT01361386 .

    Matched MeSH terms: Healthcare Disparities/economics*
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