Evidence map›Paper›PMID 39399364›Full record

ArticleActa medica Philippina2024

Health Benefit Utilization and Out-of-Pocket Expenses in Outpatient Care and Hospitalizations: Baseline Surveys of Three Primary Care Sites in the Philippines.

Leonila F Dans, Jose Rafael A Marfori, Regine Ynez H De Mesa, Cara Lois T Galingana, Noleen Marie C Fabian, Mia P Rey, Josephine T Sanchez, Jesusa T Catabui, Nannette B Sundiang, Ramon Pedro P Paterno and 3 more

Abstract read
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Article in Acta medica Philippina, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Leonila F DansDepartment of Pediatrics, College of Medicine and Philippine General Hospital, University of the Philippines Manila.
Jose Rafael A MarforiDepartment of Clinical Epidemiology, College of Medicine, University of the Philippines Manila.
Regine Ynez H De MesaPhilippine Primary Care Studies, University Health Service, University of the Philippines Diliman.
Cara Lois T GalinganaPhilippine Primary Care Studies, University Health Service, University of the Philippines Diliman.
Noleen Marie C FabianPhilippine Primary Care Studies, University Health Service, University of the Philippines Diliman.
Mia P ReyVirata School of Business, University of the Philippines Diliman.
Josephine T SanchezPhilippine Primary Care Studies, University Health Service, University of the Philippines Diliman.
Jesusa T CatabuiPhilippine Primary Care Studies, University Health Service, University of the Philippines Diliman.
Nannette B SundiangPhilippine Primary Care Studies, University Health Service, University of the Philippines Diliman.
Ramon Pedro P PaternoPhilippine Primary Care Studies, University Health Service, University of the Philippines Diliman.
Edna Estifania A CoUP Diliman Extension Program in Pampanga.
Carol Stephanie C Tan-LimDepartment of Clinical Epidemiology, College of Medicine, University of the Philippines Manila.
And Antonio Miguel L DansCollege of Medicine, University of the Philippines Manila.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Philippine Primary Care Studies (PPCS) is a network of pilot studies that developed, implemented, and tested strategies to strengthen primary care in the country. These pilot studies were implemented in an urban, rural, and remote setting. The aim is to use the findings to guide the policies of the national health insurance program (PhilHealth), the main payor for individualized healthcare services in the country. Objective: The objective of this report is to compare baseline outpatient benefit utilization, hospitalization, and health spending, including out-of-pocket (OOP) expenses, in three health settings (urban, rural, and remote). These findings were used to contextualize strategies to strengthen primary care in these three settings. Methods: Cross-sectional surveys were carried out using an interviewer-assisted questionnaire on a random sample of families in the urban site, and a stratified random sample of households in the rural and remote sites. The questionnaire asked for out-patient and hospitalization utilization and spending, including the OOP expenses. Results: A total of 787 families/households were sampled across the three sites. For outpatient benefits, utilization was low in all sites. The remote site had the lowest utilization at only 15%. Unexpectedly, the average annual OOP expenses for outpatient consults in the remote site was PhP 571.92/per capita. This is 40% higher than expenses shouldered by families in the rural area, but similar with the urban site.For hospital benefits, utilization was lowest in the remote site (55.7%) compared to 75.0% and 78.1% for the urban and rural sites, respectively. OOP expenses per year were highest in the remote site at PhP 2204.44 per capita, probably because of delay in access to healthcare and consequently more severe conditions. Surprisingly, annual expenses per year for families in the rural sites (PhP 672.03 per capita) were less than half of what families in the urban sites spent (PhP 1783.38 per capita). Conclusions: Compared to families in the urban site and households in the rural sites, households in remote areas have higher disease rates and consequently, increased need for outpatient and inpatient health services. When they do get sick, access to care is more difficult. This leads to lower rates of benefit utilization and higher out-of-pocket expenses. Thus, provision of "equal" benefits can inadvertently lead to "inequitable" healthcare, pushing disadvantaged populations into a greater disadvantage. These results imply that health benefits need to be allocated according to need. Families in poorer and more remote areas may require greater subsidies.

Indexed as

hospitalization expensesout-of-pocket expenditureoutpatient utilizationPhilHealthsocial health insurance

Identifiers

PMID39399364
PMCPMC11467555

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.