Filling Potholes on the Road to Universal Health Coverage in the Philippines.

The fraction of health-care costs financed from prepayment sources is a critical indicator of progress toward Universal Health Coverage. But it does not tell how prepayment varies with the level of health-care costs and between poorer and richer patients. This paper used survey data from the Philippines to estimate inpatient costs paid by the National Health Insurance Program (aka PhilHealth) in 2013-2017 when attempts were made to extend population, service and financial coverage. The mean fraction of the inpatient bill paid by PhilHealth increased by 21 percentage points. Expansions of population coverage do not appear to have been primarily responsible for this increase. Despite the introduction of a catastrophic cover benefit package, the fraction of inpatient costs that were prepaid increased more at lower costs than at higher costs. PhilHealth payments for inpatient care were pro-rich but became substantially less so, possibly because hospitals were no longer permitted to charge poor patients in excess of reimbursement ceilings. Overall, prepayment of inpatient costs increased and became more pro-poor, reflecting gains in insurance and equity.

Health conditions, payments, proximity, and opportunity costs: Examining delays in seeking inpatient and outpatient care in the Philippines.

Like other developing countries, the Philippines commits to achieving universal health coverage. To identify the factors - including health care needs, financial and physical access, and opportunity costs - associated with delays in seeking outpatient (OP) and inpatient (IP) care among household members with illness, injury or advised by a doctor, this paper estimates Cox and Weibull proportional hazard models using a nationally-representative sample of households surveyed in 2011, when the Philippine government just started implementing major health reforms. Our results indicate that the delays in seeking OP care tend to be shorter for the very young (5 years old or below), the elderly (65 years old or above), and those with prior poor health. Similarly, delays in seeking IP care tend to be shorter among the very young and those requiring maternity services. Moreover, having a college-educated head of household is associated with shorter delays in seeking OP and IP care. Delays in seeking OP care are shorter in the National Capital Region than in other regions, but longer OP delays are associated with presence of a nearby public health facility. Deferrals in seeking IP care are shorter and delays in seeking OP care are longer when the sick or injured member is employed. When the spouse of the household head is employed, IP care is likewise postponed further. Relative to the poorest income quintile, the second- and third-income quintiles tarry longer. Last, insurance coverage and urban location are not found to be significant correlates. To enhance the effectiveness of recent reforms on utilization, these results suggest deepening the awareness of the covered population of their insurance benefits or to monitor the quality of local health facilities, especially that received grants. Labor policies that reduce the opportunity cost of seeking care among the employed may also be considered.

Effects of Price, Information, and Transactions Cost Interventions to Raise Voluntary Enrollment in a Social Health Insurance Scheme: A Randomized Experiment in the Philippines.

A cluster randomized experiment was undertaken testing two sets of interventions encouraging enrollment in the Individually Paying Program (IPP), the voluntary component of the Philippines' social health insurance program. In early 2011, 1037 unenrolled IPP-eligible families in 179 randomly selected intervention municipalities were given an information kit and offered a 50% premium subsidy valid until the end of 2011; 383 IPP-eligible families in 64 control municipalities were not. In February 2012, the 787 families in the intervention sites who were still IPP-eligible but had not enrolled had their vouchers extended, were resent the enrollment kits and received SMS reminders. Half the group also received a 'handholding' intervention: in the endline interview, the enumerator offered to help complete the enrollment form, deliver it to the insurer's office in the provincial capital, and mail the membership cards. The main intervention raised the enrollment rate by 3 percentage points (ppts) (p = 0.11), with an 8 ppt larger effect (p < 0.01) among city-dwellers, consistent with travel time to the insurance office affecting enrollment. The handholding intervention raised enrollment by 29 ppts (p < 0.01), with a smaller effect (p < 0.01) among city-dwellers, likely because of shorter travel times, and higher education levels facilitating unaided completion of the enrollment form. Copyright © The World Bank Health Economics © 2015 John Wiley & Sons, Ltd.

Investment case for improving maternal and child health: results from four countries.

BACKGROUND: Without addressing the constraints specific to disadvantaged populations, national health policies such as universal health coverage risk increasing equity gaps. Health system constraints often have the greatest impact on disadvantaged populations, resulting in poor access to quality health services among vulnerable groups. METHODS: The Investment Cases in Indonesia, Nepal, Philippines, and the state of Orissa in India were implemented to support evidence-based sub-national planning and budgeting for equitable scale-up of quality MNCH services. The Investment Case framework combines the basic setup of strategic problem solving with a decision-support model. The analysis and identification of strategies to scale-up priority MNCH interventions is conducted by in-country planners and policymakers with facilitation from local and international research partners. RESULTS: Significant variation in scaling-up constraints, strategies, and associated costs were identified between countries and across urban and rural typologies. Community-based strategies have been considered for rural populations served predominantly by public providers, but this analysis suggests that the scaling-up of maternal, newborn, and child health services requires health system interventions focused on 'getting the basics right'. These include upgrading or building facilities, training and redistribution of staff, better supervision, and strengthening the procurement of essential commodities. Some of these strategies involve substantial early capital expenditure in remote and sparsely populated districts. These supply-side strategies are not only the 'best buys', but also the 'required buys' to ensure the quality of health services as coverage increases. By contrast, such public supply strategies may not be the 'best buys' in densely populated urbanised settings, served by a mix of public and private providers. Instead, robust regulatory and supervisory mechanisms are required to improve the accessibility and quality of services delivered by the private sector. They can lead to important maternal mortality reductions at relatively low costs. CONCLUSIONS: National strategies that do not take into consideration the special circumstances of disadvantaged areas risk disempowering local managers and may lead to a "business-as-usual" acceptance of unreachable goals. To effectively guide health service delivery at a local level, national plans should adopt typologies that reflect the different problems and strategies to scale up key MNCH interventions.

Stagnant neonatal mortality and persistent health inequality in middle-income countries: a case study of the Philippines.

BACKGROUND: The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country's socioeconomic-related child health inequality. METHODOLOGY: Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. FINDINGS: Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. CONCLUSION: The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality--that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system--to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child health.

The health and cost impact of care delay and the experimental impact of insurance on reducing delays.

OBJECTIVE: To examine whether delays in seeking care are associated with worse health outcomes or increased treatment costs in children, and then assess whether insurance coverage reduces these delays. STUDY DESIGN: We use data on 4070 children younger than 5 years from the Quality Improvement Demonstration Study, a randomized controlled experiment assessing the effects of increasing insurance coverage. We examined whether delay in care, defined as greater than 2 days between the onset of symptoms and admission to the study district hospitals, is associated with wasting or having positive C-reactive protein levels on discharge, and with total charge for hospital admission; we also evaluated whether increased benefit coverage and enrollment reduced the likelihood of delay. RESULTS: Delay is associated with 4.2% and 11.2% percentage point increases in the likelihood of wasting (P = .08) and having positive C-reactive protein levels (P = .03), respectively, at discharge. On average, hospitalization costs were 1.9% higher with delay (P = .04). Insurance intervention results in 5 additional children in 100 not delaying going to the hospital (P = .02). CONCLUSIONS: In this population, delayed care is associated with worse health outcomes and higher costs. Access to insurance reduced delays; thus insurance interventions may have positive effects on health outcomes.