MATERIALS AND METHODS: Twelve focus group discussions (n = 64) were conducted with women with breast cancer from two public and three private hospitals. This study specifically focused on (a) health costs, (b) nonhealth costs, (c) employment and earnings, and (d) financial assistance. Thematic analysis was used.
RESULTS: Financial needs related to cancer treatment and health care varied according to the participant's socioeconomic background and type of medical insurance. Although having medical insurance alleviated cancer treatment-related financial difficulties, limited policy coverage for cancer care and suboptimal reimbursement policies were common complaints. Nonhealth expenditures were also cited as an important source of financial distress; patients from low-income households reported transport and parking costs as troublesome, with some struggling to afford basic necessities, whereas participants from higher-income households mentioned hired help, special food and/or supplements and appliances as expensive needs following cancer. Needy patients had a hard time navigating through the complex system to obtain financial support. Irrespective of socioeconomic status, reductions in household income due to loss of employment and/or earnings were a major source of economic hardship.
CONCLUSION: There are many unmet financial needs following a diagnosis of (breast) cancer even in settings with universal health coverage. Health care professionals may only be able to fulfill these unmet needs through multisectoral collaborations, catalyzed by strong political will.
IMPLICATIONS FOR PRACTICE: As unmet financial needs exist among patients with cancer across all socioeconomic groups, including for patients with medical insurance, financial navigation should be prioritized as an important component of cancer survivorship services, including in the low- and middle-income settings. Apart from assisting survivors to understand the costs of cancer care, navigate the complex system to obtain financial assistance, or file health insurance claims, any planned patient navigation program should also provide support to deal with employment-related challenges and navigate return to work. It is also echoed that costs for essential personal items (e.g., breast prostheses) should be covered by health insurance or subsidized by the government.
Methods: This cross-sectional study was carried out on 400 pregnant women who were selected using stratified random sampling technique from eight private maternity centers located in Indore city. A questionnaire collected information on socio-demographic characteristics, oral hygiene practices, previous dental visit and past medical history. OHRQOL was assessed using Oral Health Impact Profile-14 questionnaire. Lifestyle factors were assessed using the Health practice Index.
Results: The lifestyle factors were the strongest predictor for poor OHRQOL. The pregnant women (OR = 3.22, P-value < 0.0001*) with poor lifestyle had significantly poor OHRQOL. Logistic regression analysis showed that poor socio-economic status (OR = 2.63, P-value = 0.025*), brushing frequency of less than or equal to once daily (OR = 2.02, P-value = 0.025*), and suffering from systemic diseases (OR = 2.11, P-value = 0.017*) were other important predictors for poor OHRQOL in pregnant women.
Conclusions: Our findings showed that lifestyle factors significantly impact OHRQOL in pregnant women. Thus, it is recommended that effective policies should be drafted to improve lifestyle factors and OHRQOL in pregnant women.
METHODS: Rotavirus infection in Children in Southeast Asia countries was assessed using data from Pubmed and Google Scholars. Most countries in Southeast Asia have not yet introduced national RV vaccination programs. We exclude Brunei Darussalam, and Timor Leste because there were no eligible studies identified during that time.
RESULTS: According to the 2008-2018 RV surveillance data for Southeast Asia, 40.78% of all diarrheal disease in children were caused by RV infection, which is still a major cause of morbidity and mortality in children under 5 years old in Southeast Asia. Mortality was inversely related to socioeconomic status. The most predominant genotype distribution of RV changed from G1P[8] and G2P[4] into the rare and unusual genotypes G3P[8], G8P[8], and G9P[8]. Although the predominat strain has changed, but the seasonality of RV infection remains unchanged. One of the best strategies for decreasing the global burden of the disease is the development and implementation of effective vaccines.
CONCLUSIONS: The most predominant genotype distribution of RV was changed time by time. Rotavirus vaccine is highly cost effective in Southeast Asian countries because the ratio between cost per disability-adjusted life years (DALY) averted and gross domestic product (GDP) per capita is less than one. These data are important for healthcare practitioners and officials to make appropriate policies and recommendations about RV vaccination.
METHODS: Men from Dolakha, Nepal, who had ever migrated outside of Nepal for work were interviewed on their experiences, from predeparture to return (n=194). Forced labour was assessed among those who returned within the past 10 years (n=140) using the International Labour Organization's forced labour dimensions: (1) unfree recruitment; (2) work and life under duress; and (3) impossibility to leave employer. Forced labour is positive if any one of the dimensions is positive.
RESULTS: Participants had worked in India (34%), Malaysia (34%) and the Gulf Cooperation Council countries (29%), working in factories (29%), as labourers/porters (15%) or in skilled employment (12%). Among more recent returnees (n=140), 44% experienced unfree recruitment, 71% work and life under duress and 14% impossibility to leave employer. Overall, 73% experienced forced labour during their most recent labour migration.Forced labour was more prevalent among those who had taken loans for their migration (PR 1.23) and slightly less prevalent among those who had migrated more than once (PR 0.87); however the proportion of those who experienced forced labour was still high (67%). Age, destination and duration of stay were associated with only certain dimensions of forced labour.
CONCLUSION: Forced labour experiences were common during recruitment and at destination. Migrant workers need better advice on assessing agencies and brokers, and on accessing services at destinations. As labour migration from Nepal is not likely to reduce in the near future, interventions and policies at both source and destinations need to better address the challenges migrants face so they can achieve safer outcomes.
METHODS: This study has an ecological design. As a measure of socioeconomic status, we used principal component analysis to construct a socioeconomic index using census data. Districts were ranked according to the standardised median index of households and assigned to each individual in the 5-year mortality data. The mortality indicators of interest were potential years of life lost (PYLL), standardised mortality ratio (SMR), infant mortality rate (IMR) and under-5 mortality rate (U5MR). Both socioeconomic status and mortality outcomes were used compute the concentration index which provided the summary measure of the magnitude of inequality.
RESULTS: Socially disadvantaged districts were found to have worse mortality outcomes compared to more advantaged districts. The values of the concentration index for the overall population of the Peninsula are C = -0.1334 (95% CI: -0.1605 to -0.1063) for the PYLL, C = -0.0685 (95% CI: -0.0928 to -0.0441) for the SMR, C = -0.0997 (95% CI: -0.1343 to -0.0652) for the IMR and C = -0.1207 (95% CI: -0.1523 to -0.0891) for the U5MR. Mortality outcomes within ethnic groups were also found to be less favourable among the poor.
CONCLUSION: The findings of this study suggest that socioeconomic inequalities disfavouring the poor exist in Malaysia.