BACKGROUND: Health policies in the Philippines have evolved in response to increasing health demands of older adults. However, there is a lack of research on equity among the ageing population in low-middle income countries. The objective of this study was to identify the trends in National Health Insurance Program (NHIP) coverage and healthcare utilization among older adults in the Philippines for the period from 2003 to 2017, during which NHIP expansion policies were implemented, focusing on reductions in socio-economic inequalities. METHODS: A literature search of policies for older adults and an analysis of four Philippine National Demographic and Health Surveys (2003, 2008, 2013, and 2017) with data from 25,217 older adults who were 60 years or older were performed. The major outcome variables were NHIP coverage, self-reported illness, outpatient healthcare utilization, and inpatient healthcare utilization. Inequalities in NHIP coverage and healthcare utilization according to wealth were evaluated by calculating the concentration index for individual years, followed by a regression-based decomposition analysis. RESULTS: NHIP coverage among older adults increased from 9.4 (2003) to 87.6% (2017). Although inequalities according to wealth quintile were observed in all four surveys (all P < 0.001), the concentration index declined from 0.3000 (2003) to 0.0247 (2017), showing reduced inequalities in NHIP coverage over time as observed for self-reported illness and healthcare utilization. NHIP coverage expansion for older adults in 2014 enabled equal opportunity for access to healthcare. CONCLUSION The passage of mandatory NHIP coverage for older Filipino adults in 2014 was followed by a reduction in inequality in NHIP coverage and healthcare utilization according to wealth.
Aged ; Aged, 80 and over ; Female ; Healthcare Disparities ; trends ; Humans ; Insurance Coverage ; trends ; Male ; Middle Aged ; National Health Programs ; legislation & jurisprudence ; statistics & numerical data ; Philippines ; Socioeconomic Factors

Blood Pressure Monitoring, Ambulatory ; COVID-19/therapy* ; Cardiac Rehabilitation ; Cardiovascular Diseases/therapy* ; Communicable Disease Control ; Contact Tracing ; Health Literacy ; Health Services Accessibility ; Healthcare Disparities ; Humans ; Internet Access ; Poverty ; SARS-CoV-2 ; Singapore ; Social Class ; Social Conditions ; Socioeconomic Factors ; Telemedicine ; Telerehabilitation ; Transients and Migrants

OBJECTIVES: The purpose of this study was to estimate the mediating effect of subjective unmet healthcare needs on poor health. The mediating effect of unmet needs on health outcomes was estimated. METHODS: Cross-sectional research method was used to analyze Korea Health Panel data from 2011 to 2015, investigating the mediating effect for each annual dataset and lagged dependent variables. RESULTS: The magnitude of the effect of low income on poor health and the mediating effect of unmet needs were estimated using age, sex, education level, employment status, healthcare insurance status, disability, and chronic disease as control variables and self-rated health as the dependent variable. The mediating effect of unmet needs due to financial reasons was between 14.7% to 32.9% of the total marginal effect, and 7.2% to 18.7% in lagged model. CONCLUSIONS: The fixed-effect logit model demonstrated that the existence of unmet needs raised the likelihood of poor self-rated health. However, only a small proportion of the effects of low income on health was mediated by unmet needs, and the results varied annually. Further studies are necessary to search for ways to explain the varying results in the Korea Health Panel data, as well as to consider a time series analysis of the mediating effect. The results of this study present the clear implication that even though it is crucial to address the unmet needs, but it is not enough to tackle the income related health inequalities.
Chronic Disease ; Dataset ; Delivery of Health Care ; Education ; Employment ; Healthcare Disparities ; Insurance Coverage ; Korea ; Logistic Models ; Methods ; Needs Assessment ; Negotiating ; Socioeconomic Factors

BACKGROUND: Family doctors are increasingly managing the diabetes care of Korean-Americans. Little is known about the prevalence of diabetes among non-obese Korean-Americans, or the extent to which they receive timely and appropriate diabetes care. The purpose of this investigation is to: (1) identify the prevalence of diabetes and to determine the adjusted odds of diabetes among non-obese Korean-Americans compared to non-Hispanic White (NHW) Americans, (2) examine the factors associated with having diabetes in a large sample of non-obese Korean-Americans, and (3) determine the prevalence and adjusted odds of optimal frequency of eye care, foot care and A1C blood glucose level monitoring among non-obese Korean-Americans with diabetes in comparison to NHWs with diabetes. METHODS: Secondary analysis of population-based data from the combined 2007, 2009, and 2011 adult California Health Interview Survey. The sample included 74,361 respondents with body mass index (BMI) <30 kg/m2 (referred to as ‘non-obese BMI’), of whom 2,289 were Korean-Americans and 72,072 were NHWs, and 4,576 had diabetes. RESULTS: The prevalence and adjusted odds of diabetes among non-obese Korean-Americans are significantly higher than among their NHW peers. More than 90% of Korean-Americans with diabetes were non-obese. NHWs had substantially higher odds of having optimal frequency of eye care, foot care and A1C glucose level monitoring, even after adjusting for insulin dependence, sex, age, education, income, and BMI. CONCLUSION: Non-obese Korean-Americans are at higher risk for diabetes and are much less likely to receive optimal diabetes care in comparison to NHWs. Targeted outreach is necessary.
Adult ; Asian Americans ; Blood Glucose ; Body Mass Index ; California ; Chronic Disease ; Community Medicine ; Cross-Cultural Comparison ; Education ; Emigrants and Immigrants ; Foot ; Glucose ; Healthcare Disparities ; Humans ; Insulin ; Prevalence ; Surveys and Questionnaires

PURPOSE: The purpose of this study was to conduct a cost effectiveness analysis of strategies designed to improve national cervical cancer screening rates, along with a distributional cost effectiveness analysis that considers regional disparities. MATERIALS AND METHODS: Cost effectiveness analysis was conducted using a Markov cohort simulation model, with quality adjusted life years as the unit of effectiveness. The strategies considered were current (biennial Papanicolaou smear cytology of females aged 20 or above), strong screening recommendation by mail to target regions (effect, 12% increase in screening uptake; cost, 1,000 Korean won per person), regular universal screening recommendation by mail (effect, 6% increase in screening uptake; cost, 500 Korean won per person), and strong universal screening recommendation by mail (effect, 12% increase in screening uptake; cost, 1,000 Korean won per person). Distributional cost effectiveness analysis was conducted by calculating the cost effectiveness of strategies using the Atkinson incremental cost effectiveness ratio. RESULTS: All strategies were under the threshold value, which was set as the Korean gross domestic product of $25,990. In particular, the ‘strong screening recommendation to target regions’ strategy was found to be the most cost effective (incremental cost effectiveness ratio, 7,361,145 Korean won). This was also true when societal inequality aversion increased in the distributional cost effectiveness analysis. CONCLUSION: The ‘strong screening recommendation to target regions’ strategy was the most cost effective approach, even when adjusting for inequality. As efficiency and equity are objectives concurrently sought in healthcare, these findings imply a need to develop appropriate economic evaluation methodologies to assess healthcare policies.
Cohort Studies ; Cost-Benefit Analysis ; Delivery of Health Care ; Early Detection of Cancer ; Female ; Gross Domestic Product ; Healthcare Disparities ; Humans ; Korea ; Mass Screening ; Papanicolaou Test ; Postal Service ; Quality-Adjusted Life Years ; Socioeconomic Factors ; Uterine Cervical Neoplasms

PURPOSE: The aim was to present our experiences implementing a cultural diversity (CD) education program. METHODS: The authors held a 4-hour CD class for third-year medical students. The aim of the class was to facilitate students to realize and reflect on the importance of CD on healthcare delivery in Korea. The class was comprised of an orientation about CD in Korea, physicians and multicultural guests sharing their experiences with students, small group discussion, and Q&A panel with multicultural guests. Students provided written feedback for program evaluation. Authors classified their comments qualitatively. RESULTS: Students mostly responded positively to the class with a significant focus on interacting with the multicultural guests. Students realized the significance of CD in healthcare and reflected deeply on their discussion with the multicultural patients. Students needed more time to interact with multicultural guests from a greater range of cultures represented in Korea. Most did not need English interpretation. CONCLUSION: The aim of the class was achieved. Medical students' interaction with multicultural patients may promote the students' understanding and reflection about CD in health care.
Cultural Competency ; Cultural Diversity* ; Culturally Competent Care ; Delivery of Health Care ; Education ; Education, Medical, Undergraduate ; Healthcare Disparities ; Humans ; Korea ; Patient Safety ; Program Evaluation ; Students, Medical*

To analyze the equity of outpatient service utilization for hypertensive patients (HPs) under 3 kinds of social medical insurance, and to explore its influential factors.
 Methods: A total of 8 670 HPs (aged at 15 years old from 28 sub-centers) in 14 provinces were selected. Indirectly standardized method and concentration index were used to analyze the equity of outpatient utilization in HPs, and decomposition analysis was used to explore the impact factors of outpatient treatment among the whole sample population, population with urban employees' basic medical insurance (UEBMI), and population with urban residents' basic medical insurance (URBMI) and new rural cooperative medical systems (NCMS).
 Results: The overall concentration index (CI) for the whole sample population was 0.2378. After the standardizing "need" variable, horizontal inequity (HI) was 0.2360, indicating that the outpatient service of HPs was inequity and that the higher economic level, the more outpatient services received. The decomposition of overall CI results showed that the positive factors for contribution were gross domestic product (GDP) level, retired, UEBMI and URBMI, and the negative factors for contribution were NCMS. The CI of UEBMI, URBMI and NCMS was 0.2017, 0.1208 and 0.0288, respectively; the HI was 0.1889, 0.1215 and 0.0219, respectively. The inequity in UEBMI is the most serious, followed by NRCMS and URBMI. The economic level was the main factor that caused inequity in the outpatient services utilization in three social medical insurance. In addition to the economic level, a common positive factor for the contribution to UEBMI and URBMI was district of residence, and the age was the positive factor to UEBMI as well.
 Conclusion: There are different levels of inequity in the HPs covered by 3 kinds of social medical insurance, and the inequity of UEBMI is the highest one among 3 kinds social medical insurance. The economic level is the main factor that affects the equity of outpatient in the HPs under 3 kinds of social medical insurance.
Adolescent ; Ambulatory Care ; economics ; statistics & numerical data ; China ; Healthcare Disparities ; economics ; statistics & numerical data ; Humans ; Hypertension ; therapy ; Insurance, Health ; economics ; statistics & numerical data ; Outpatients ; statistics & numerical data ; Rural Health Services ; economics ; statistics & numerical data ; Socioeconomic Factors ; Urban Health Services ; economics ; statistics & numerical data

PURPOSE: This study was conducted to identify the factors affecting on unmet healthcare needs of married immigrant women, especially who are working in South Korea. METHODS: It is designed as a cross-sectional descriptive study. We analyzed data from 8,142 working married immigrant women to the ‘National Survey of Multicultural Families 2015.’ Based on Andersen's health behavior model, logistic regression was conducted to determine the predictors of unmet healthcare need. RESULTS: The prevalence of unmet healthcare needs among the subjects was 11.6%. In multivariate analysis, significant predictors of unmet needs included existence of preschooler, country of origin, period of residence in predisposing factors, monthly household income, helpful social relationship, social discrimination, Korean proficiency, working hour per week in enabling factors, and self-rated health, experience of grief or desperation in need factors. CONCLUSION: The association between labor-related factors and unmet healthcare needs of marriage immigrant women currently working was found from nationally representative sample. Support policies for immigrant women working more than legally defined hours and having preschooler should be supplemented to reduce unmet healthcare needs. In addition, eradicating discrimination in workplace, enlarging social relationship, and developing culturally competent nursing services tailored to health problems caused by labor are needed.
Causality ; Delivery of Health Care ; Discrimination (Psychology) ; Emigrants and Immigrants ; Family Characteristics ; Female ; Grief ; Health Behavior ; Health Services Accessibility ; Healthcare Disparities ; Humans ; Korea ; Logistic Models ; Marriage ; Multivariate Analysis ; Nursing Services ; Prevalence ; Social Discrimination ; Women, Working

PURPOSE: Consistent evidence indicates that cervical and breast cancer screening rates are low among socioeconomically deprived women. This study aimed to assess trends in cervical and breast cancer screening rates and to analyze socioeconomic inequalities among Korean women from 2005 to 2015. MATERIALS AND METHODS: Data from the Korean National Cancer Screening Survey, an annual nationwide cross-sectional survey, were utilized. A total of 19910 women were finally included for analysis. Inequalities in education and household income status were estimated by slope index of inequality (SII) and relative index of inequality (RII), along with calculation of annual percent changes (APCs), to show trends in cancer screening rates. RESULTS: Cervical and breast cancer screening rates increased from 54.8% in 2005 to 65.6% in 2015 and from 37.6% in 2005 to 61.2% in 2015, respectively. APCs in breast cancer screening rates were significant among women with higher levels of household income and education status. Inequalities by household income in cervical cancer screening uptake were observed with a pooled SII estimate of 10.6% (95% CI: 8.1 to 13.2) and RII of 1.4 (95% CI: 1.3 to 1.6). Income inequalities in breast cancer screening were shown to gradually increase over time with a pooled SII of 5.9% (95% CI: 2.9 to 9.0) and RII of 1.2 (95% CI: 0.9 to 1.3). Educational inequalities appeared to diminish over the study period for both cervical and breast cancer screening. CONCLUSION: Our study identified significant inequalities among socioeconomically deprived women in cervical and breast cancer screening in Korea. Especially, income-related inequalities were greater than education-related inequalities, and these were constant from 2005 to 2015 for both cervical and breast cancer screening.
Breast Neoplasms* ; Breast* ; Cross-Sectional Studies ; Early Detection of Cancer ; Education ; Family Characteristics ; Female ; Healthcare Disparities ; Humans ; Korea* ; Mass Screening* ; Socioeconomic Factors* ; Uterine Cervical Neoplasms

Objective: To estimate the cervical and breast cancer screening coverage and related factors among women aged 35-69 years who were in the National Cervical and Breast Screening Program, to provide evidence for improving cervical and breast cancer control and prevention strategy. Methods: Data used in this study were abstracted from the 2013 Chinese Chronic Diseases and Risk Factors Surveillance Program. A total of 66 130 women aged 35-64 years and 72 511 women aged 35-69 years were included for this study. Weighted prevalence, (with 95% confidence interval, CI) was calculated for complex sampling design. Rao-Scott χ(2) method was used to compare the screening coverage among subgroups. A random intercept equation which involved the logit-link function, was fitted under the following five levels: provincial, county, township, village and individual. Fix effects of all explanatory variables were converted into OR with 95%CI. Results: In 2013, 26.7% (95%CI: 24.6%-28.9%) of the 35-64 year-old women reported that they ever had been screened for cervical cancer and 22.5% (95% CI: 20.4%-24.6%) of the 35-69 year-olds had ever undergone breast cancer screening. Lower coverage was observed among women residing in rural and central or western China than those in urban or eastern China (P<0.000 1). The coverage among women aged 50 years or older was substantially lower than those aged 35-49 years. Those who were with low education level, unemployed, low household income and not covered by insurance, appeared fewer number on this cervical or breast cancer screening program (P<0.000 1). Women living in rural and western China were having less chance of receiving the breast cancer screening (P<0.05), but the difference was not statistically significant. Conclusion: It is essential to strengthen the community-based cervical and breast cancer screening programs, in order to increase the coverage. More attention should be paid to women aged 50 years or older, especially those socioeconomically disadvantaged ones.
Adult ; Aged ; Breast Neoplasms/prevention & control* ; China/epidemiology* ; Early Detection of Cancer/statistics & numerical data* ; Female ; Healthcare Disparities ; Humans ; Mammography/statistics & numerical data* ; Mass Screening/statistics & numerical data* ; Middle Aged ; Papanicolaou Test/statistics & numerical data* ; Prevalence ; Risk Factors ; Rural Population ; Socioeconomic Factors ; Uterine Cervical Neoplasms/prevention & control*