Filters

2012 - 201922020 - 20252
Reset filters

Settings

Subject: PhilHealth ×

Search Results

Now showing 1 - 4 of 4
  • ItemRestricted
    Effects of the Pantawid Pamilyang Pilipino Program (4Ps) on PhilHealth awareness, preventive healthcare, and proper treatment-seeking behavior among Filipino households
    (2017-12-21) Lagman, Julia Gabrielle D. ; Lim, Patrick Gabriel C. ; Jandoc, Karl Robert L.
    This research aims to examine the effects of the Pantawid Pamilyang Pilipino Program (4Ps) on PhilHealth awareness, preventive healthcare, and treatment-seeking behavior among the program's beneficiaries. The 4Ps is a program under the Department of Social Welfare and Development (DSWD), designed to help alleviate poverty in the country through cash assistance granted to households that meet program eligibility and fulfill certain conditions. An impact evaluation strategy called Propensity Score Matching (PSM) was used in this research to compare treatment outcomes between beneficiary households and non-beneficiary households. Results show that Pantawid Pamilya households are more likely to visit health facilities for consultation or treatment, and are able to fulfill program conditions that target healthcare. PhilHealth membership is more pronounced among program beneficiaries, and its benefits were availed when paying for medical expenses. The study finds that Pantawid Pamilya has a significant positive impact on health outcomes of beneficiary households. It is also a valuable tool in providing access to health care services to the poorest in the country. Policymakers must make further improvements in the program that ensure the best health outcomes for its beneficiaries, such as increasing the scope of services provided by program conditionalities and PhilHealth.
  • ItemRestricted
    Determinants of utilization of Philhealth benefits
    (2012-04) Ortiz, Ma. Kristina P.; Ragos, Anton Miguel P.; Capuno, Joseph J.
    National health insurance provided by PhilHealth remains to be the most comprehensive health insurance in the country today. Nevertheless, the program is challenged by issues including its low benefit delivery-particularly among the poor-as resulted from the members' lacl<: of awareness and responsiveness to the program. This study aims to identify the factors that affect the member's utilization of PhilHealth benefit. Using logit regression, our results show that length of stay, type of facility, and type of . PhilHealth membership (along with several household and regional characteristics) affect the member's likelihood of claiming. Implications of our study suggest that increasing the PhilHealth coverage among the poor would not necessarily increase the benefit delivery among such sector.
  • ItemRestricted
    Beyond connectivity: why internet access and Philhealth coverage operate independently in Philippine healthcare utilization
    (2025-12-16) Cui, Robin Martin; Go Tian, Anthony Joshua; Solon, Orville Jose C.
    This paper examines the determinants of healthcare utilization in the Philippines, focusing on the roles of insurance coverage, digital access, and socioeconomic factors. Prior studies suggest that insurance and digital connectivity independently increase healthcare access when controlling for educational attainment, wealth quintile, age, urban residence, access barriers, marital status, number of living children, and employment status. (Finkelstein et al. 2012; Dorsey & Topol 2016). However, evidence on their interaction effects and distributional impacts in low- and middle-income countries remains limited. This paper integrates Grossman's health capital model (1972), Gertler and van der Gaag's full price theory (1990), and Veinot et al. (2018) and Crawford (2020) digital determinants framework (2005) to frame the research question from which an empirical model is derived. This empirical model is estimated using 2022 Philippine National Demographic and Health Survey data (N = 27,813) following multinomial logistic regression with cluster-robust standard errors. Results suggest that after controlling for illness severity and demographic factors, PhilHealth coverage is associated with higher face-to-face consultation odds by 94.2% (p = 0.04), but internet access shows no significant independent effect (p =0.070), and the two operate independently rather than synergistically (p = 0.143). Policy simulations quantify these effects at scale: achieving universal PhilHealth coverage would increase consultation rates by 0.27 percentage points (pp) , universal internet by 0.15 pp, and both combined by 0.37 pp, leaving 88.48 percent of ill women without care and demonstrating negative complementarity (-0.06 pp). These findings imply that expanding internet infrastructure alone will not translate into increased healthcare utilization without complementary policies addressing affordability, digital literacy, and institutional integration of telemedicine within the national health insurance framework.
  • ItemRestricted
    Healthcare inequalities in the Philippines: analyzing urban-rural disparities and the role of Philhealth
    (2025-06-03) Tañeca, Julia Marie B.; Villar, Kristen Gianne R.; Sabarillo, Anthony G.
    Using the Wagstaff and Erreygers Concentration Indices (or WCI and ECI, respectively), this study (i) estimates inequalities in healthcare utilization within two separate populations, urban and rural households, and (ii) measures PhilHealth’s contribution to inequality within each of these groups. In 2013, the distribution of healthcare utilization was pro-poor among urban households (WCI: -0.080, ECI: - 0.076) as well as for rural households (WCI: -0.016, ECI: -0.020). In 2017, both indices show that utilization inequality among urban households was still pro-poor but to a lesser degree compared to 2013 (WCI: -0.027, ECI: -0.022), whereas it became slightly more pro-rich among rural households (WCI: 0.003, ECI: 0.006). Based on WCI decompositions, PhilHealth coverage made the distribution of healthcare utilization more favorable to the poor in terms of relative or proportional differences between wealth classes—except in rural areas in 2017. Based on ECI decompositions, PhilHealth consistently made the distribution either less pro-poor or more pro-rich in terms of absolute differences between the rich and poor. This warrants a reassessment of PhilHealth policy reforms in the 2010s, in terms of their impact on service capacity to reach the poorest and geographically isolated populations.