Children of working low-income families in California: does parental work benefit children's insurance status, access, and utilization of primary health care?

To examine financial and nonfinancial access to care and utilization of primary health care services among children of working low-income families earning below 200 percent of the federal poverty level in California, and to compare them to children in nonworking low-income families and in families e...

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Veröffentlicht in:Health services research 2000-06, Vol.35 (2), p.417-441
Hauptverfasser: Guendelman, S, Wyn, R, Tsai, Y W
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container_title Health services research
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creator Guendelman, S
Wyn, R
Tsai, Y W
description To examine financial and nonfinancial access to care and utilization of primary health care services among children of working low-income families earning below 200 percent of the federal poverty level in California, and to compare them to children in nonworking low-income families and in families earning over 200 percent of poverty. The 1994 National Health Interview survey weighted to reflect population estimates for California. This cross-sectional study of 3,831 children under age 19 focuses on financial access, that is, the prevalence and continuity of health insurance coverage; structural access, including the presence of a usual source of care, the predominant care source, its responsiveness to patient's needs, and any indications of delayed or missed care; and utilization of health care measured by the presence of an outpatient doctor's visit and the mean number of visits relative to child health status. The study uses secondary analysis. Compared to children of nonworking low-income parents and to nonpoor children, children of working low-income parents were more likely to be uninsured (32.1 percent versus 15.6 percent and 10.3 percent, p = .0001) and to experience disruptions in insurance coverage (p = .0009). These differences persisted after controlling for other covariates in multivariate analyses. Children of working low-income parents did not differ significantly from children of nonworking low-income parents on measures of structural access or utilization, after adjusting for other covariates. However, they differed significantly from nonpoor children on structural access and utilization, and these differences mostly persisted after adjusting for other covariates (odds ratios from 1.5 to 2.9). Similar patterns were observed when children of full-time, year-round working parents with low earnings were compared with the two reference populations. Children in working low-income families in California have some of the worst access problems. Even full attachment to the workforce does not guarantee health insurance benefits, access to care, or improved health care use for children of low-income parents. These children are not better off than other low-income children of nonworking parents and are much worse off than nonpoor children. Expansion of health insurance coverage through Healthy Families and Medi-Cal, and attention to nonfinancial barriers to care for working low-income families may help to reduce these disparities.
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The 1994 National Health Interview survey weighted to reflect population estimates for California. This cross-sectional study of 3,831 children under age 19 focuses on financial access, that is, the prevalence and continuity of health insurance coverage; structural access, including the presence of a usual source of care, the predominant care source, its responsiveness to patient's needs, and any indications of delayed or missed care; and utilization of health care measured by the presence of an outpatient doctor's visit and the mean number of visits relative to child health status. The study uses secondary analysis. Compared to children of nonworking low-income parents and to nonpoor children, children of working low-income parents were more likely to be uninsured (32.1 percent versus 15.6 percent and 10.3 percent, p = .0001) and to experience disruptions in insurance coverage (p = .0009). These differences persisted after controlling for other covariates in multivariate analyses. 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numerical data</subject><subject>Insurance, Health</subject><subject>Logistic Models</subject><subject>Low income groups</subject><subject>Male</subject><subject>Medically Uninsured - statistics &amp; numerical data</subject><subject>Medically uninsured persons</subject><subject>Multivariate Analysis</subject><subject>Odds Ratio</subject><subject>Poor children</subject><subject>Poverty</subject><subject>Services</subject><subject>Social aspects</subject><subject>Socioeconomic Factors</subject><subject>Studies</subject><subject>Working parents</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNptksFu1DAQhiMEokvhFZDFoQiJIDtO4oRDUbWCglSpFzhbs84k6-LYS-xQ4GF4Vma7C-qilQ8j2d__j_2PH2QLUaoqr5WSD7MF50LlrSjKk-xJjDec80Y25ePsRPCmUqXii-z3cm1dN6FnoWe3Yfpq_cBcuM2tN2FE1sNoncXIrGdLcLYPk7fwlnWB9jZAwgTuTshW6LG3iZm948utKM4TeIMsJkhzfM3AGIzb6js2J7L-BcmGu-6byY4w_WRrBJfWzJD5u6fZox5cxGf7epp9-fD-8_JjfnV9-Wl5cZUPFecpV00rKkPWUK9E2amiqkXHQXJRSdm2Xd_VdS1Mo4DSqBshG9MXEqFfyb5BlPI0O9_5bubViJ2hZ03g9P5KOoDVhyfervUQvmtKkiwVGZztDabwbcaY9GijQefAY5ijVkK0Ba8FgS_-A2_CPHl6nC6EUKUgR4LyHTSAQ219H6ipGShg6h22MdP2hZBFKVpetsS_OcLT6nC05qjg1YGAmIQ_0gBzjLq5vDpk82OsCc7hgJrmsLw-5M_u8btpxuDm7ZzjIfj8fuj_0v77O-UfdirhWw</recordid><startdate>200006</startdate><enddate>200006</enddate><creator>Guendelman, S</creator><creator>Wyn, R</creator><creator>Tsai, Y W</creator><general>Health Research and Educational Trust</general><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>200006</creationdate><title>Children of working low-income families in California: does parental work benefit children's insurance status, access, and utilization of primary health care?</title><author>Guendelman, S ; 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numerical data</topic><topic>Insurance, Health</topic><topic>Logistic Models</topic><topic>Low income groups</topic><topic>Male</topic><topic>Medically Uninsured - statistics &amp; numerical data</topic><topic>Medically uninsured persons</topic><topic>Multivariate Analysis</topic><topic>Odds Ratio</topic><topic>Poor children</topic><topic>Poverty</topic><topic>Services</topic><topic>Social aspects</topic><topic>Socioeconomic Factors</topic><topic>Studies</topic><topic>Working parents</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guendelman, S</creatorcontrib><creatorcontrib>Wyn, R</creatorcontrib><creatorcontrib>Tsai, Y W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>ProQuest Health &amp; 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The 1994 National Health Interview survey weighted to reflect population estimates for California. This cross-sectional study of 3,831 children under age 19 focuses on financial access, that is, the prevalence and continuity of health insurance coverage; structural access, including the presence of a usual source of care, the predominant care source, its responsiveness to patient's needs, and any indications of delayed or missed care; and utilization of health care measured by the presence of an outpatient doctor's visit and the mean number of visits relative to child health status. The study uses secondary analysis. Compared to children of nonworking low-income parents and to nonpoor children, children of working low-income parents were more likely to be uninsured (32.1 percent versus 15.6 percent and 10.3 percent, p = .0001) and to experience disruptions in insurance coverage (p = .0009). These differences persisted after controlling for other covariates in multivariate analyses. Children of working low-income parents did not differ significantly from children of nonworking low-income parents on measures of structural access or utilization, after adjusting for other covariates. However, they differed significantly from nonpoor children on structural access and utilization, and these differences mostly persisted after adjusting for other covariates (odds ratios from 1.5 to 2.9). Similar patterns were observed when children of full-time, year-round working parents with low earnings were compared with the two reference populations. Children in working low-income families in California have some of the worst access problems. Even full attachment to the workforce does not guarantee health insurance benefits, access to care, or improved health care use for children of low-income parents. These children are not better off than other low-income children of nonworking parents and are much worse off than nonpoor children. Expansion of health insurance coverage through Healthy Families and Medi-Cal, and attention to nonfinancial barriers to care for working low-income families may help to reduce these disparities.</abstract><cop>United States</cop><pub>Health Research and Educational Trust</pub><pmid>10857470</pmid><tpages>25</tpages></addata></record>
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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Applied Social Sciences Index & Abstracts (ASSIA); PubMed Central; Alma/SFX Local Collection
subjects Adolescent
Blue collar workers
California
Child
Child Health Services - utilization
Child, Preschool
Children & youth
Childrens health insurance programs
Cross-Sectional Studies
Differences
Economic aspects
Employment
Female
Health aspects
Health Benefit Plans, Employee
Health care access
Health insurance
Health maintenance organizations
Health Services Accessibility - economics
Health services utilization
Health Status
Humans
Infant
Infant, Newborn
Influence
Insurance
Insurance coverage
Insurance Coverage - statistics & numerical data
Insurance, Health
Logistic Models
Low income groups
Male
Medically Uninsured - statistics & numerical data
Medically uninsured persons
Multivariate Analysis
Odds Ratio
Poor children
Poverty
Services
Social aspects
Socioeconomic Factors
Studies
Working parents
title Children of working low-income families in California: does parental work benefit children's insurance status, access, and utilization of primary health care?
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