Evidence map›Paper›PMID 38867214›Full record

ArticleBMC oral health2024

Impact of health insurance on the use of oral health services in the Peruvian population 2015-2019.

Jorge Alfredo Herrera Ruiz, Nilthon Pisfil-Benites, Diego Azañedo, Akram Hernández-Vásquez

Abstract read
In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

4 authors.

Jorge Alfredo Herrera RuizUniversidad Científica del Sur, Lima, Peru. 100096340@cientifica.edu.pe.ORCID http://orcid.org/0000-0002-5681-5650
Nilthon Pisfil-BenitesUniversidad Tecnológica del Perú, Chiclayo, Peru.ORCID http://orcid.org/0000-0002-2275-7106
Diego AzañedoUniversidad Científica del Sur, Lima, Peru.ORCID http://orcid.org/0000-0003-1375-8788
Akram Hernández-VásquezUniversidad Científica del Sur, Lima, Peru.ORCID http://orcid.org/0000-0003-1431-2526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high treatment cost of oral diseases is a barrier for accessing oral health services (OHS), particularly in low-income countries. Therefore, this study aimed to evaluate the impact of health insurance on the use of OHS in the Peruvian population from 2015 to 2019.

methodsWe conducted a prospective, longitudinal study of secondary data using the National Household Survey (ENAHO) 2015-2019 panel databases, which collected information from the same participants during each of the five years. The dependent variable was the use of OHS in the three months prior to the survey (yes/no). The independent variable was health insurance affiliation (four years or less/all five years). Both were measured by survey questions. Generalized estimating equation (GEE) Poisson regression models with robust standard errors were used to estimate the relative risk (RR) associated with use of OHS.

resultsWe included 4064 individuals distributed in 1847 households, who responded to the survey during each of the five years. The adjusted GEE model showed that those who had health insurance during all five years without interruption were more likely to attend OHS than those who had insurance for four years or less (adjusted relative risk [aRR]: 1.30; 95%CI: 1.13-1.50). In addition, we carried out a sensitivity analysis by recategorizing the independent variable into three categories (never/some years/ all five years), which also showed (aRR: 1.45; 95%CI: 1.11-1.89) that participants with health insurance during all five years were more likely to have used OHS than those who never had insurance.

conclusionTherefore, in the Peruvian context, health insurance affiliation was associated with greater use of OHS. The panel data used derives from a subsample of consecutive nationally representative samples, which may have led to a loss of representativeness. Furthermore, the data was collected between 2015 and 2019, prior to the onset of the COVID-19 pandemic, and insurance conditions may have changed.

Indexed as

Insurance, HealthAdolescentAdultAgedChildChild, PreschoolCOVID-19Dental Health ServicesFemaleHealth Services AccessibilityHumansInfantLongitudinal StudiesMaleMiddle AgedPeruHealth insuranceHealth services accessibilityOral healthPeru

Identifiers

PMID38867214
PMCPMC11167752

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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.