Evidence map›Paper›PMID 31533819›Full record

ArticleBMC health services research2019

A crossectional investigation of the relationship between complementary health insurance and frequency of dental visits in 15 to 64 years old of Tehran population, Iran, a secondary data analysis (urban HEART-2).

Morteza Rostam Beigi, Ahmad Reza Shamshiri, Mohsen Asadi-Lari, Hossein Hessari, Ahmad Jafari

Abstract read
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Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Morteza Rostam BeigiDepartment of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.
Ahmad Reza ShamshiriDepartment of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.
Mohsen Asadi-LariOncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Hossein HessariDepartment of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.
Ahmad JafariDepartment of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran. ajafari@tums.ac.ir.ORCID http://orcid.org/0000-0001-9164-8264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate the relationship between complementary health insurance and frequency of dental visits.

methodsThe present study was performed using the Urban Health Equity Assessment and Response Tool (Urban HEART). A cross-sectional study was conducted in Tehran (Iran) to assess inequalities in health status among different socioeconomic and ethnic groups, genders, geographical areas, and social determinants of health. Out of 20,320 records retrieved from the original study with dental information, 17,252 had both dental insurance and dental visit information. Complementary health insurance as the main independent variable had three categories (i.e., basic insurance, with complementary medical coverage, and with dental coverage). The frequency of dental visits during the last year as a dependent variable had also three categories (i.e., no visit, one, and two, or more dental visits in the last year). In this study, in addition to investigating the relationship between complementary health insurance and frequency of dental visits, potential covariates that may affect the mentioned relationship were evaluated in the regression model. Statistical analyses included simple and multiple multinomial logistic regression considering the sampling method and sampling weights.

resultsThe meanage of 17,252 participants (Tehran citizens) was 39.36 years; 49.4%were women, 86.0%hadonly basicinsurance, 7.2% had complementary medical insurance, and 6.8% had complementary dental insurance. Of all subjects, 43.8% reported no dental visit, 26.1% reported one, and 30.1% reportedtwoor more dental visits during the lastyear. The frequency of dental visits was lower in people who had basic insurance than others such that that odds ratio (OR) was 0.73 (p-value < 0.001) for one visit and 0.68 (p-value< 0.001) for two or more visits in the last year. The frequency of dental visits was also positively associated with dental brushing, toothpaste use, high educational level, being married, having more than 20 teeth, and having dental pain.

conclusionHaving dental insurance increases the frequency of dental visits but the association between dental insurance and dental visits was independently influenced by other predictors.

Indexed as

AdolescentAdultAgedCross-Sectional StudiesData AnalysisDental Health ServicesFacilities and Services UtilizationFemaleHealth StatusHumansInsurance, DentalIranLogistic ModelsMaleMiddle AgedOffice VisitsDental insuranceDental painDental visit

Identifiers

PMID31533819
PMCPMC6751603

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