Study on Universal Health Coverage Scheme in India - The Stumper to Private Hospitals.

BACKGROUND: Many governments have introduced health insurance schemes for the poor sections of society to save them from catastrophic health expenditure. Private hospitals play a key role in India, as they are in significant number in secondary and tertiary care services. Private hospitals have to fund their infrastructure, staff salaries from the revenue of previous year. In this study, we compared money received by a private medical college hospital bed through government insurance scheme patient and private paying patient. METHODS: Observational study, comparing money reimbursed for top ten procedures treated in private medical college hospitals by Ayushman Bharat (AB) fund and the price offered by a paying patient in similar bed. RESULTS: On average 600 patients received medical care through the AB scheme per month at our tertiary care super-specialty hospital. Highest numbers were seen in specialties like cardiovascular, and cancer treatments and infectious diseases under general medicine specialty. The costs considered were surgeon's cost, medicines, devices, and hospitalization costs. The laparoscopic procedures were incurring a loss of 130%, knee replacements about 50%, coronary bypass grafting thankfully due to controlling of prices by central government is incurring a loss of 10%. The package amount offered accounts to 26-52% only of the costs incurred by the private hospitals. CONCLUSION: The private academic hospitals need 25% to 50% more than current prices offered, across various procedures.

Willingness to pay for National Health Insurance Services and Associated Factors in Africa and Asia: a systematic review and meta-analysis.

Background: Universal health coverage (UHC) is crucial for public health, poverty eradication, and economic growth. However, 97% of low- and middle-income countries (LMICs), particularly Africa and Asia, lack it, relying on out-of-pocket (OOP) expenditure. National Health Insurance (NHI) guarantees equity and priorities aligned with medical needs, for which we aimed to determine the pooled willingness to pay (WTP) and its influencing factors from the available literature in Africa and Asia. Methods: Database searches were conducted on Scopus, HINARI, PubMed, Google Scholar, and Semantic Scholar from March 31 to April 4, 2023. The Joanna Briggs Institute's (JBI's) tools and the "preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 statement" were used to evaluate bias and frame the review, respectively. The data were analyzed using Stata 17. To assess heterogeneity, we conducted sensitivity and subgroup analyses, calculated the Luis Furuya-Kanamori (LFK) index, and used a random model to determine the effect estimates (proportions and odds ratios) with a p value less than 0.05 and a 95% CI. Results: Nineteen studies were included in the review. The pooled WTP on the continents was 66.0% (95% CI, 54.0-77.0%) before outlier studies were not excluded, but increased to 71.0% (95% CI, 68-75%) after excluding them. The factors influencing the WTP were categorized as socio-demographic factors, income and economic issues, information level and sources, illness and illness expenditure, health service factors, factors related to financing schemes, as well as social capital and solidarity. Age has been found to be consistently and negatively related to the WTP for NHI, while income level was an almost consistent positive predictor of it. Conclusion: The WTP for NHI was moderate, while it was slightly higher in Africa than Asia and was found to be affected by various factors, with age being reported to be consistently and negatively related to it, while an increase in income level was almost a positive determinant of it.

National health system characteristics, breast cancer stage at diagnosis, and breast cancer mortality: a population-based analysis.

BACKGROUND: In some countries, breast cancer age-standardised mortality rates have decreased by 2-4% per year since the 1990s, but others have yet to achieve this outcome. In this study, we aimed to characterise the associations between national health system characteristics and breast cancer age-standardised mortality rate, and the degree of breast cancer downstaging correlating with national age-standardised mortality rate reductions. METHODS: In this population-based study, national age-standardised mortality rate estimates for women aged 69 years or younger obtained from GLOBOCAN 2020 were correlated with a broad panel of standardised national health system data as reported in the WHO Cancer Country Profiles 2020. These health system characteristics include health expenditure, the Universal Health Coverage Service Coverage Index (UHC Index), dedicated funding for early detection programmes, breast cancer early detection guidelines, referral systems, cancer plans, number of dedicated public and private cancer centres per 10 000 patients with cancer, and pathology services. We tested for differences between continuous variables using the non-parametric Kruskal-Wallis test, and for categorical variables using the Pearson χ2 test. Simple and multiple linear regression analyses were fitted to identify associations between health system characteristics and age-standardised breast cancer mortality rates. Data on TNM stage at diagnosis were obtained from national or subnational cancer registries, supplemented by a literature review of PubMed from 2010 to 2020. Mortality trends from 1950 to 2016 were assessed using the WHO Cancer Mortality Database. The threshold for significance was set at a p value of 0·05 or less. FINDINGS: 148 countries had complete health system data. The following variables were significantly higher in high-income countries than in low-income countries in unadjusted analyses: health expenditure (p=0·0002), UHC Index (p<0·0001), dedicated funding for early detection programmes (p=0·0020), breast cancer early detection guidelines (p<0·0001), breast cancer referral systems (p=0·0030), national cancer plans (p=0·014), cervical cancer early detection programmes (p=0·0010), number of dedicated public (p<0·0001) and private (p=0·027) cancer centres per 10 000 patients with cancer, and pathology services (p<0·0001). In adjusted multivariable regression analyses in 141 countries, two health system characteristics were significantly associated with lower age-standardised mortality rates: higher UHC Index levels (ß=-0·12, 95% CI -0·16 to -0·08) and increasing numbers of public cancer centres (ß=-0·23, -0·36 to -0·10). These findings indicate that each unit increase in the UHC Index was associated with a 0·12-unit decline in age-standardised mortality rates, and each additional public cancer centre per 10 000 patients with cancer was associated with a 0·23-unit decline in age-standardised mortality rate. Among 35 countries with available breast cancer TNM staging data, all 20 that achieved sustained mean reductions in age-standardised mortality rate of 2% or more per year for at least 3 consecutive years since 1990 had at least 60% of patients with invasive breast cancer presenting as stage I or II disease. Some countries achieved this reduction without most women having access to population-based mammographic screening. INTERPRETATION: Countries with low breast cancer mortality rates are characterised by increased levels of coverage of essential health services and higher numbers of public cancer centres. Among countries achieving sustained mortality reductions, the majority of breast cancers are diagnosed at an early stage, reinforcing the value of clinical early diagnosis programmes for improving breast cancer outcomes. FUNDING: None.

Keeping an eye on eye care: monitoring progress towards effective coverage.

The eye care sector is well positioned to contribute to the advancement of universal health coverage within countries. Given the large unmet need for care associated with cataract and refractive error, coupled with the fact that highly cost-effective interventions exist, we propose that effective cataract surgery coverage (eCSC) and effective refractive error coverage (eREC) serve as ideal indicators to track progress in the uptake and quality of eye care services at the global level, and to monitor progress towards universal health coverage in general. Global targets for 2030 for these two indicators were endorsed by WHO Member States at the 74th World Health Assembly in May, 2021. To develop consensus on the data requirements and methods of calculating eCSC and eREC, WHO convened a series of expert consultations to make recommendations for standardising the definitions and measurement approaches for eCSC and eREC and to identify areas in which future work is required.

District division administrative disaggregation data framework for monitoring leaving no one behind in the National Health Insurance Fund of Sudan: achieving sustainable development goals in 2030.

BACKGROUND: The aim of this study is to monitor the concept of 'leaving no one behind' in the Sustainable Development Goals (SDGs) to track the implications of the mobilization of health care resources by the National Health Insurance Fund (NHIF) of Sudan. METHODS: A cross-sectional study was used to monitor 'leaving no one behind' in NHIF by analyzing the secondary data of the information system for the year 2016. The study categorized the catchment areas of health care centers (HCCS) according to district administrative divisions, which are neighborhood, subdistrict, district, and zero. The District Division Administrative Disaggregation Data (DDADD) framework was developed and investigated with the use of descriptive statistics, maps of Sudan, the Mann-Whitney test, the Kruskal-Wallis test and health equity catchment indicators. SPSS ver. 18 and EndNote X8 were also used. RESULTS: The findings show that the NHIF has mobilized HCCs according to coverage of the insured population. This mobilization protected the insured poor in high-coverage insured population districts and left those living in very low-coverage districts behind. The Mann-Whitney test presented a significant median difference in the utilization rate between catchment areas (P value < 0.001). The results showed that the utilization rate of the insured poor who accessed health care centers by neighborhood was higher than that of the insured poor who accessed by more than neighborhood in each state. The Kruskal-Wallis test of the cost of health care services per capita in each catchment area showed a difference (P value < 0.001) in the median between neighborhoods. The cost of health care services in low-coverage insured population districts was higher than that in high-coverage insured population districts. CONCLUSION: The DDADD framework identified the inequitable distribution of health care services in low-density population districts leaves insured poor behind. Policymakers should restructure the equation of health insurance schemes based on equity and probability of illness, to distribute health care services according to needs and equity, and to remobilize resources towards districts left behind.

Estimation of the National Surgical Needs in India by Enumerating the Surgical Procedures in an Urban Community Under Universal Health Coverage.

BACKGROUND: 11% of the global burden of disease requires surgical care or anaesthesia management or both. Some studies have estimated this burden to be as high as 30%. The Lancet Commission for Global Surgery (LCoGS) estimated that 5000 surgeries are required to meet the surgical burden of disease for 100,000 people in LMICs. Studies from LMICs, estimating surgical burden based on enumeration of surgeries, are sparse. METHOD: We performed this study in an urban population availing employees' heath scheme in Mumbai, India. Surgical procedures performed in 2017 and 2018, under this free and equitable health scheme, were enumerated. We estimated the surgical needs for national population, based on age and sex distribution of surgeries and age standardization from our cohort. RESULT: A total of 4642 surgeries were performed per year for a population of 88,273. Cataract (22.8%), Caesareans (3.8%), surgeries for fractures (3.27%) and hernia (2.86%) were the commonest surgeries. 44.2% of surgeries belonged to the essential surgeries. We estimated 3646 surgeries would be required per 100,000 Indian population per year. One-third of these surgeries would be needed for the age group 30-49 years, in the Indian population. CONCLUSION: A total of 3646 surgeries were estimated annually to meet the surgical needs of Indian population as compared to the global estimate of 5000 surgeries per 100,000 people. Caesarean section, cataract, surgeries for fractures and hernia are the major contributors to the surgical needs. More enumeration-based studies are needed for better estimates from rural as well as other urban areas.

Community utilisation and satisfaction with the community-based health planning and services initiative in Ghana: a comparative study in two system learning districts of the CHPS+ project.

BACKGROUND: To strengthen the implementation of the Community-based Health Planning and Services (CHPS) programme which is Ghana's key primary health care delivery strategy, the CHPS+ Project was initiated in 2017. We examined community utilisation and satisfaction with CHPS services in two System Learning Districts (SLDs) of the project. METHODS: This community-based descriptive study was conducted in the Nkwanta South Municipality and Central Tongu District of Ghana. Data were collected from 1008 adults and analysed using frequency, percentage, chi-square, and logistic regression models. RESULTS: While the level of utilisation of CHPS services was 65.2%, satisfaction was 46.1%. Utilisation was 76.7% in Nkwanta South and 53.8% in Central Tongu. Satisfaction was also 55.2% in Nkwanta South and 37.1% in Central Tongu. Community members in Nkwanta South were more likely to utilise (AOR = 3.17, 95%CI = 3.98-9.76) and be satisfied (AOR = 2.77, 95%CI = 1.56-4.90) with CHPS services than those in Central Tongu. Females were more likely to utilise (AOR = 1.75, 95%CI = 1.27-2.39) but less likely to be satisfied [AOR = 0.47, 95%CI = 0.25-0.90] with CHPS services than males. Even though subscription to the National Health Insurance Scheme (NHIS) was just 46.3%, NHIS subscribers were more likely to utilise (AOR = 1.51, 95%CI = 1.22-2.03) and be satisfied (AOR = 1.45, 95%CI = 0.53-1.68) with CHPS services than non-subscribers. CONCLUSION: Ghana may not be able to achieve the goal of universal health coverage (UHC) by the year 2030 if current levels of utilisation and satisfaction with CHPS services persist. To accelerate progress towards the achievement of UHC with CHPS as the vehicle through which primary health care is delivered, there should be increased public education by the Ghana Health Service (GHS) on the CHPS concept to increase utilisation. Service quality should also be improved by the GHS and other stakeholders in Ghana's health industry to increase satisfaction with CHPS services. The GHS and the National Health Insurance Authority (NHIA) should also institute innovative strategies to increase subscription to the NHIS since it has implications for CHPS service utilisation and satisfaction.

Factors associated with patient payments exceeding National Health Insurance fees and out-of-pocket payments in Lao PDR.

BACKGROUND: Attaining universal health coverage is a target in the Sustainable Development Goals. In Lao PDR, to achieve universal health coverage, the government is implementing a national insurance scheme, initially targeting the informal sector. OBJECTIVE: The purpose was to assess: i) the percentage of NHI patients who paid above the scheduled amount, based on individual billing payment; and ii) the factors related to overpayment. METHODS: Descriptive cross-sectional study based on a structured questionnaire administered at health facilities in face-to-face interviews with 1,850 patients in six provinces. RESULTS: All 1,850 participants worked in the informal sector. Of these, 78.8% of respondents (77.9% of in-patients; 79.5% of out-patients) made co-payments or were exempted from. Factors associated with in-patients paying above the scheduled fee were living in the province and district (OR = 2.8; 95%CI 1.2 to 6.3); not having documents with them (OR = 21.2; 95%CI 5.6 to 80.3); or not having documents (OR: 7.8; 95% CI 2.1 to 28.6). Significant factors associated with additional costs for out-patients were level of facility used at the provincial hospital (OR:1.4; 95% CI 1.1 to 1.9); older age (OR = 2.2; 95%CI 1.5 to 3.1); living in the province and district (OR = 2.3; 95%CI 1.5 to 3.7); living more than 5 km from the facility (OR = 1.4; 95%CI 1.1 to 1.9); buying medicine or supplies outside of the health facility (OR: 5.6; 95% CI 3.1 to 10.2); not bringing documents (OR:9.1; 95% CI 6.1 to 13.5), not having the right documents (OR: 8.9; 95% CI 5.4 to 14.8). CONCLUSIONS: A number of patients paid above scheduled fee rates, which may deter people from utilising services when needing them. There is a need for increased understanding of the benefits of the national insurance scheme among patients and healthcare staff.

Factors affecting knowledge of National Health Insurance Policy among out-patients in Lao PDR: an exit interview study.

BACKGROUND: Universal health coverage is target 3.8 of the Sustainable Development Goals. In many lower-middle-income countries, however, major coverage gaps exist. Those who do receive services often experience high out-of-pocket expenses. To achieve universal health coverage, Lao PDR, a lower-middle-income country in South-East Asia, is shifting from a fragmented model of health financing to a national health insurance scheme. OBJECTIVE: The objective of this cross-sectional survey was to assess the knowledge of the NHI in Lao PDR among insured in- and out-patients using health services at selected public health facilities at provincial, district and health centre level in six provinces. METHODS: This was a cross-sectional survey. Healthcare facilities were selected based on the rate of use of health services at the health facility and participants selected using systematic random sampling. Exit interviews were conducted with in- and out-patients of each selected health facility, using a pre-tested structured questionnaire. Descriptive statistics were generated including means (median), frequency and percentages. Poisson regression was applied to determine the factors associated with knowledge of the insurance scheme. RESULTS: In total 326 participants were recruited (response rate 93%). Of these, less than two-thirds (62.3%) said they had their eligibility documents with them. Only 23.6% knew the co-payment fee at the health centre level; while 18.1% and 18.7% knew about the co-payment fee at the district and provincial healthcare level, respectively. A key determinant of accessing NHI and health services was knowledge of the scheme and its benefits. CONCLUSION: This study suggests in Lao PDR, awareness about health insurance is low. More innovative demand-side strategies are needed to create awareness and understanding of the NHI and its benefits. Without an understanding of what insurance policies mean, universal health coverage cannot be achieved, even where appropriate and acceptable services are accessible.

Urban-rural disparity of preventive healthcare utilisation among children under the universal health insurance coverage in Taiwan: a national birth cohort analysis.

OBJECTIVE: In the context of universal health insurance coverage, this study aimed to determine whether urban-rural inequality still exists in preventive health care (PHC) amongst children in Taiwan. STUDY DESIGN: Prospective cohort study. METHODS: A total of 184,117 mothers and their children born in 2009 were identified as the study cohort. The number of children born in urban, satellite and rural areas was 40,176, 57,565 and 86,805, respectively. All children were followed for 7 years, before which a total of seven times PHC were provided by Taiwan's National Health Insurance (NHI) programme. Ordinal logistic regression models were used to associate urbanisation level with the frequency of PHC utilisation. Stratified analyses were further performed in accordance with the children's birth weight and the mothers' birthplace. RESULTS: Children from satellite areas had higher utilisation for the first four scheduled PHC visits. Children living in urban areas received more PHC for the fifth and sixth scheduled visits. Compared with those from rural areas, children in satellite areas exhibited a small but significant increase in odds in PHC utilisation, with a covariate-adjusted odds ratio (aOR) of 1.04 and 95% confidence interval (CI) of 1.02-1.06. By contrast, no significant difference was observed between rural and urban areas (aOR = 1.01). Further stratified analyses suggest more evident urban-rural difference in PHC utilisation amongst children with low birth weight and foreign-born mothers. CONCLUSIONS: Given a universal health insurance coverage and embedded mechanisms in increasing the availability of healthcare resources in Taiwan, a slight urban-rural difference is observed in PHC utilisation amongst children. Hence, sociodemographic inequality in utilisation of PHC still exists. This issue should be addressed through policy intervention.

Evaluating health service coverage in Ghana's Volta Region using a modified Tanahashi model.

Background: The United Nations 2030 Sustainable Development Goals have reaffirmed the international community's commitment to maternal, newborn, and child health, with further investments in achieving quality essential service coverage and financial protection for all.Objective: Using a modified version of the 1978 Tanahashi model as an analytical framework for measuring and assessing health service coverage, this paper aims to examine the system of care at the community level in Ghana's Volta Region to highlight the continued reforms needed to achieve Universal Health Coverage.Methods: The Tanahashi model evaluates health system coverage through five key measures that reflect different stages along the service provision continuum: availability of services; accessibility; initial contact with the health system; continued utilization; and quality coverage. Data from cross-sectional household and health facility surveys were used in this study. Immunization and antenatal care services were selected as tracer interventions to serve as proxies to assess systems bottlenecks.Results: Financial access and quality coverage were identified as the biggest bottlenecks for both tracer indicators. Financial accessibility, measured by enrollment in Ghana's National Health Insurance Scheme was poor with 16.94% presenting valid membership cards. Childhood immunization was high but dropped modestly from 93.8% at initial contact to 76.7% quality coverage. For antenatal care, estimates ranged from 65.9% at initial visit to 25.1% quality coverage.Conclusion: Results highlight the difficulty in achieving high levels of quality service coverage and the large variations that exist within services provided at the primary care level. While vertical investments have been prioritized to benefit specific health services, a comprehensive systems approach to primary health care needs to be further strengthened to reach Ghana's Universal Health Coverage objectives.

Achieving Universal Health Coverage (UHC): Dominance analysis across 183 countries highlights importance of strengthening health workforce.

BACKGROUND: Despite increasing political will to achieve Universal Health Coverage (UHC), there is a paucity of empiric data describing what health system indicators are useful surrogates of country-level progress towards UHC. We sought to determine what public health interventions were useful tracers of country-level UHC progress. METHODS: Across 183 countries we evaluated the extent to which 16 service delivery indicators explained variability in the UHC Service Coverage Index, (UHC SCI) a WHO-validated indicator of country-level health coverage. Dominance analyses, stratifying countries by World Bank income criteria, were used to determine which indicators were most important in in predicting UHC SCI scores. FINDINGS: Health workforce density ranked first overall, provision of basic sanitation and access to clean water ranked second, and provision of basic antenatal services ranked third. In analysis stratified by World Bank income criteria, health workforce density ranked first in Lower Middle Income-Countries (LMICs) (n = 45) and third in Upper Middle Income-Countries (UMICs) (n = 51). CONCLUSIONS: While each country will have a different approach to achieving UHC, strengthening the health workforce will need to be a key priority if they are to be successful in achieving UHC.

A comprehensive assessment of universal health coverage in 111 countries: a retrospective observational study.

BACKGROUND: The goal of universal health coverage (UHC) requires that everyone receive needed health services, and that families who get needed services do not suffer undue financial hardship. Tracking progress towards UHC requires measurement of both these dimensions, and a way of trading them off against one another. METHODS: We measured service coverage by a weighted geometric average of four prevention indicators (antenatal care, full immunisation, and screening for breast and cervical cancers) and four treatment indicators (skilled birth attendance, inpatient admission, and treatment for acute respiratory infection and diarrhoea), financial protection by the incidence of catastrophic health expenditures (those exceeding 10% of household consumption or income), and a country's UHC performance as a geometric average of the service coverage index and the complement of the incidence of catastrophic expenditures. Where possible, we adjusted service coverage for inequality, penalising countries with a high level of inequality. The bulk of data used in this study were from the World Bank's Health Equity and Financial Protection Indicators database (2019 version), comprising data from household surveys. Gaps in the data were supplemented with other survey data and (where necessary) non-survey data from other sources (administrative, modelled, and imputed data). FINDINGS: A low incidence of catastrophic expenses sometimes reflects low service coverage (often in low-income countries) but sometimes occurs despite high service coverage (often in high-income countries). At a given level of service coverage, financial protection also varies. UHC index scores are generally higher in higher-income countries, but there are variations within income groups. Adjusting the UHC index for inequality in service coverage makes little difference in some countries, but reduces it by more than 10% in others. Seven of the 12 countries for which we were able to produce trend data have increased their UHC index over time (with the greatest average yearly increases seen in Ghana [1·43%], Indonesia [1·85%], and Vietnam [2·26%]), mostly by improving both financial protection and service coverage. Some increased their UHC index, despite reductions in financial protection, by substantially increasing their service coverage. The UHC index decreased in five of 12 countries with trend data, mostly because financial protection worsened with stagnant or declining service coverage. Our UHC indicators (except inpatient admissions) are significantly and positively associated with GDP per capita, and most are correlated with the share of health spending channelled through social health insurance and government schemes. However, associations of our UHC indicators with the share of GDP spent on health and the shares of health spending channelled through non-profit and private insurance are ambiguous. INTERPRETATION: Progress towards UHC can be tracked using an index that captures both service coverage and financial protection. Although per-capita income is a good predictor of a country's UHC index score, some countries perform better than others in the same income group or even in the income group above their own. Strong UHC performance is correlated with the share of a country's health budget that is channelled through government and social health insurance schemes. FUNDING: None.

Why Do Informal Sector Workers Not Pay the Premium Regularly? Evidence from the National Health Insurance System in Indonesia.

BACKGROUND: The challenges of universal health coverage (UHC) in developing countries with a significant proportion of the labor force that works in the informal sector include administrative difficulties in recruiting, registering and collecting regular contributions in a cost-effective way. As most developing countries have a limited fiscal space to support the program in the long run, the fiscal sustainability of UHC, such as that in Indonesia, relies heavily on the contributions of its members. The failure of a large proportion of voluntary enrollees/self-enrolled members/informal sector workers (Peserta Mandiri/Pekerja Bukan Penerima Upah [PBPU] members) to pay their premiums may lead to the National Health Insurance System (NHIS) in Indonesia being unable to effectively deliver its services. OBJECTIVE: This study aims at exploring the important factors that affect the compliance behavior of informal sector workers (PBPU members) in regularly paying their insurance premium. This analysis may be a basis for designing effective measures to encourage payment sustainability in informal sector workers in the NHIS. METHOD: This study utilizes the survey data collected from three regional offices of the Indonesian Social Security Agency for Health (SSAH), which cover approximately 1210 PBPU members, to understand the relationship between members' characteristics and their compliance behavior regarding the premium payment. We applied an econometric analysis of a logit regression to statistically estimate which factors most affect their compliance behavior in paying the insurance premium. RESULTS: This study reveals that almost 28% of PBPU members do not pay their insurance premiums in a sustainable way. Our logistic regression statistically confirms that the number of household members, financial hardship, membership in other social protection arrangements, and the utilization of health services are negatively correlated with the compliance rate of informal sector workers in paying their insurance premium. For instance, people who experience financial hardship tend to have a 7.7 percentage point lower probability of routinely paying the premium. In contrast, households that work in agricultural sectors and have income stability, the cost of inpatient care incurred before joining the NHIS, a comprehensive knowledge of the SSAH's services, and the availability of health professionals are all positively correlated with regular premium payment. CONCLUSION: Although there is no single policy that can ensure that informal sector workers (PBPU members) regularly pay their premiums, this study recommends some policy interventions, including (1) flexibility in applying for a government subsidy for premiums (Penerima Bantuan Iuran [PBI]), especially for people who have financial hardship; (2) an intensive promotion of insurance literacy; (3) expanding the quantity and quality of healthcare services; and (4) tailor-made policies for ensuring the sustainability of premium payments for each regional division.

The Association Between Race/Ethnicity and Revision Following ACL Reconstruction in a Universally Insured Cohort.

BACKGROUND: There have been few large studies involving multiethnic cohorts of patients treated with anterior cruciate ligament reconstruction (ACLR), and therefore, little is known about the role that race/ethnicity may play in the differential risk of undergoing revision surgery following primary ACLR. The purpose of this study was to evaluate whether differences exist by race/ethnicity in the risk of undergoing the elective procedure of aseptic revision in a universally insured cohort of patients who had undergone ACLR. METHODS: This was a retrospective cohort study conducted using our integrated health-care system's ACLR registry and including primary ACLRs from 2008 to 2015. Race/ethnicity was categorized into the following 4 groups: non-Hispanic white, black, Hispanic, and Asian. Multivariable Cox proportional-hazard models were used to evaluate the association between race/ethnicity and revision risk while adjusting for age, sex, highest educational attainment, annual household income, graft type, and geographic region in which the ACLR was performed. RESULTS: Of the 27,258 included patients,13,567 (49.8%) were white, 7,713 (28.3%) were Hispanic, 3,725 (13.7%) were Asian, and 2,253 (8.3%) were black. Asian patients (hazard ratio [HR] = 0.72; 95% confidence interval [CI] = 0.57 to 0.90) and Hispanic patients (HR = 0.83; 95% CI = 0.70 to 0.98) had a lower risk of undergoing revision surgery than did white patients. Within the first 3.5 years postoperatively, we did not observe a difference in revision risk when black patients were compared with white patients (HR = 0.86; 95% CI = 0.64 to 1.14); after 3.5 years postoperatively, black patients had a lower risk of undergoing revision (HR = 0.23; 95% CI = 0.08 to 0.63). CONCLUSIONS: In a large, universally insured ACLR cohort with equal access to care, we observed Asian, Hispanic, and black patients to have a similar or lower risk of undergoing elective revision compared with white patients. These findings emphasize the need for additional investigation into barriers to equal access to care. Because of the sensitivity and complexity of race/ethnicity with surgical outcomes, continued assessment into the reasons for the differences observed, as well as any differences in other clinical outcomes, is warranted. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Variation in the 11-year trajectories of medical care seeking behaviors in diabetes patients under a single payer system: persisting gaps to be filled.

BACKGROUND: Care-seeking behavior is widely acknowledged to have strong influences on health outcomes among individuals with chronic conditions including diabetes. Despite its dynamic nature, care seeking behavior are often considered as time invariant in most studies. The likelihood of patients changing their regularity and source of chronic care over time is often neglected. This study aimed to determine the long-term trajectories of care-seeking patterns of both care-seeking regularity and health provider choices; and their associated factors among patients with type 2 diabetes under the National Health Insurance (NHI) program in Taiwan. METHODS: We utilized population-based data from the National Health Insurance Research Database (NHIRD) in Taiwan. Three thousand, nine hundred and eighty-seven adult patients with newly diagnosed type 2 diabetes in 1999 were enrolled in the cohort. We assessed their trajectories of regular care visits and sources of diabetes care from 2000 to 2010. A group-based trajectory model was applied. RESULTS: Seven distinct groups of long-term care-seeking patterns were identified. Only 51.44% of patients with newly diagnosed diabetes had regularly visited their providers over time. Among them, 56.41 and 16.09% had persistently sought care from generalized and specialized providers, respectively. 27.50% had sought care from different levels of providers. Patients who were male, elderly, low-income, and had a higher baseline diabetes severity were significantly more likely to either continue with their irregular care-seeking behavior or fail to maintain their regular care seeking behavior over time. Those who were younger, had a higher socioeconomic status, and lived in an urban area were significantly more likely to persistently seek care from specialized care settings. CONCLUSIONS: This study is the first population-based assessment of long-term care-seeking behaviors of type 2 diabetes patients under a single-payer system with a comprehensive benefit coverage. The most alarming finding was that, despite the existence of the comprehensive universal health insurance coverage in Taiwan, almost 50% of patients did not seek or maintain regular visits to providers over time as recommended. Understanding variations in the long-term trajectories of care adherence and sources of care may help to identify gaps in diabetes care management.

Health Insurance and Colorectal Cancer Survival in Khon Kaen, Thailand.

Background: Evidence from healthcare studies demonstrates that patients' health insurance affects service accessibility and the outcome of treatment. However, assessment on how colorectal cancer survival relates to health insurance is limited. Objective: The study examined the association between health insurance and colorectal cancer survival in Khon Kaen, Thailand. Methods: The retrospective cohort study was conducted with 1,931 colorectal cancer patients from Khon Kaen cancer registry between January 1, 2003 and December 31, 2012, and was followed-up until December 31, 2015. Relative survival was used to estimate the survival rate. Cox proportional hazard regression was used to estimate the relationship between health insurance and colorectal cancer survival, represented with the hazard ratio. Result: Most of the participants were males, and the median age was 62 years. The median survival time was 2.25 years (95% CI: 2.00-2.51). The five-year observed survival rate and relative survival rate were 36.87 (95% CI: 34.66-39.08) and, 42.28 (95% CI: 39.75-44.81), respectively. The factors that showed significant associations with poorer survival after adjustment for gender and age were non-surgical treatments (HRadj=1.88;95%CI=1.45-2.45), advanced stage (III+IV) (HRadj=2.50; 95%CI=2.00-3.12), histological grading in poorly differentiated (HRadj=1.84; 95%CI=1.32-2.56), and Universal Coverage Scheme (HRadj=1.37;95%CI=1.09-1.72). Conclusion: The survival of colorectal cancer patients in the Universal Coverage Scheme was likely to be poorer than in the Civil Servant Medical Benefit Scheme. This indicates an urgent need for a national program for colorectal cancer screening in the general population and access to health insurance.

Cobertura de aseguramiento en salud: el caso peruano desde la Ley de Aseguramiento Universal / Health insurance coverage: the peruvian case since the universal insurance act

RESUMEN Objetivo. Describir la evolución de la cobertura de aseguramiento en salud (CAS) en Perú para el periodo 2009-2017 y evaluar los principales factores demográficos, sociales y económicos asociados. Materiales y métodos. Realizamos un análisis secundario de la Encuesta Nacional de Hogares. Para cada año estimamos la CAS global, del Seguro Integral de Salud (SIS) y del Seguro Social en Salud (EsSalud), y realizamos pruebas de tendencias anuales. Para los años 2009 (Ley de Aseguramiento Universal en Salud), 2013 (reforma del sector salud) y 2017, construimos una variable politómica del tipo de aseguramiento (SIS/EsSalud/No asegurado) y estimamos razones relativas de prevalencia (RRP) con intervalos de confianza (IC) al 95% mediante modelos logísticos multinomiales para muestras complejas. Resultados. Observamos un incremento en la CAS global (2009: 60,5%; 2013: 65,5%; 2017: 76,4%), en el SIS (2009: 34%; 2013: 35,4%; 2017: 47%) y en EsSalud (2009: 22,8%; 2013: 26,4%; 2017: 26,3%). Observamos que ser mujer aumentó la posibilidad de afiliación al SIS (RRP=2009: 1,64 y 2017: 1,53), mientras que tener entre 18 y 39 años, residir Lima Metropolitana y ser no pobre redujeron esa posibilidad (RRP=2009: 0,16 y 2017: 0,31; 2009: 0,17 y 2017: 0,37; 2009: 0,51 y 2017: 0,53; respectivamente). Por su parte, ser mujer, tener más de 65 años, ser del ámbito urbano, residir en Lima Metropolitana y ser no pobre aumentó la probabilidad de estar afiliados a EsSalud (RRP=2013: 1,12 y 2017: 1,24; 2013: 1,32 y 2017: 1,34; 2009: 2,18 y 2017: 2,08; 2009: 2,14 y 2017: 2,54; 2009: 3,57 y 2017: 2,53; respectivamente). Conclusiones. La CAS ha incrementado durante el periodo 2009-2017. No obstante, las características de la población asegurada difieren de acuerdo con el tipo de seguro.

ABSTRACT Objective. To describe the trends in health insurance coverage (HIC) in Peru during the period 2009-2017 and evaluate associations with demographic, social and economic factors. Materials and Methods. We carried out a secondary data-analysis from the Peruvian National Household Survey. For each year, we estimated the global HIC, for the Integral Health Insurance (SIS) and the Social Security system (EsSalud). In addition, we performed a trend analysis. For 2009 (Universal Health Insurance Act), 2013 (health care reform act) and 2017, we used a polytomous variable for the insurance type (SIS/EsSalud/Non-affiliated). We performed logistic multinomial regressions to estimate relative prevalence ratios (RPR) and their 95% CI with correction for complex sampling. Results. We observed an increasing trend in the global HIC (2009:60.5%; 2013:65.5%; 2017:76.4%), SIS coverage (2009:34%; 2013:35.4%; 2017:47%) and EsSalud coverage (2009:22.8%; 2013:26.4%; 2017:26.3%). Multinomial logistic regressions showed that being a woman increased the likelihood to be affiliated to the SIS (RPR= 2009:1.64 and 2017:1.53), while people between 18 and 39 years old, living in Lima Metropolitan area under non-poverty conditions reduced the likelihood to be affiliated to the SIS (RPR= 2009:0.16 and 2017:0.31; 2009:0.17 and 2017:0.37; 2009:0.51 and 2017:0.53; respectively). Furthermore, being a woman, 65 years old or over, living in urban Lima, and under non-poverty conditions increased the likelihood of being affiliated with the EsSalud (RPR= 2013:1.12 and 2017:1.24; 2013:1.32 and 2017:1.34; 2009:2.18 and 2017:2.08; 2009:2.14 and 2017:2.54; 2009:3.57 and 2017:2.53; respectively). Conclusions. HIC has increased during the period 2009-2017. However, the characteristics of those affiliated are different between the various types of health insurance.

Trends and projections of universal health coverage indicators in Ghana, 1995-2030: A national and subnational study.

Ghana has made significant stride towards universal health coverage (UHC) by implementing the National Health Insurance Scheme (NHIS) in 2003. This paper investigates the progress of UHC indicators in Ghana from 1995 to 2015 and makes future predictions up to 2030 to assess the probability of achieving UHC targets. National representative surveys of Ghana were used to assess health service coverage and financial risk protection. The analyses estimated the coverage of 13 prevention and four treatment service indicators at the national level and across wealth quintiles. In addition, we calculated catastrophic health payments and impoverishment to assess financial hardship and used a Bayesian regression model to estimate trends and future projections as well as the probabilities of achieving UHC targets by 2030. Wealth-based inequalities and regional disparities were also assessed. At the national level, 14 out of the 17 health service indicators are projected to reach the target of 80% coverage by 2030. Across wealth quintiles, inequalities were observed amongst most indicators with richer groups obtaining more coverage than their poorer counterparts. Subnational analysis revealed while all regions will achieve the 80% coverage target with high probabilities for the prevention services, the same cannot be applied to the treatment services. In 2015, the proportion of households that suffered catastrophic health payments and impoverishment at a threshold of 25% non-food expenditure were 1.9% (95%CrI: 0.9-3.5) and 0.4% (95%CrI: 0.2-0.8), respectively. These are projected to reduce to 0.4% (95% CrI: 0.1-1.3) and 0.2% (0.0-0.5) respectively by 2030. Inequality measures and subnational assessment revealed that catastrophic expenditure experienced by wealth quintiles and regions are not equal. Significant improvements were seen in both health service coverage and financial risk protection over the years. However, inequalities across wealth quintiles and regions continue to be cause of concerns. Further efforts are needed to narrow these gaps.