2021
DOI: 10.1353/hpu.2021.0174
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Does a Medical Home Buffer the Association between Child Poverty and Poor Health?

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Cited by 5 publications
(3 citation statements)
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“…Lack of access to a medical home may be due to socioeconomic disadvantage, discrimination, rural residence, poor quality of the clinician/family relationship, barriers related to transportation, taking time off work, or limited clinic hours. [11][12][13][14] Whereas prior population-based studies investigating access to a medical home have not considered the role of prematurity, evidence from the 2016-2017 NSCH suggests that VLBW and preterm birth were associated with lower rates of medical home access among children ages 0-5 years. 15 By considering later ages, this study examined whether VLBW and preterm birth were associated with an enduring disadvantage in receiving comprehensive pediatric health care.…”
Section: Discussionmentioning
confidence: 99%
“…Lack of access to a medical home may be due to socioeconomic disadvantage, discrimination, rural residence, poor quality of the clinician/family relationship, barriers related to transportation, taking time off work, or limited clinic hours. [11][12][13][14] Whereas prior population-based studies investigating access to a medical home have not considered the role of prematurity, evidence from the 2016-2017 NSCH suggests that VLBW and preterm birth were associated with lower rates of medical home access among children ages 0-5 years. 15 By considering later ages, this study examined whether VLBW and preterm birth were associated with an enduring disadvantage in receiving comprehensive pediatric health care.…”
Section: Discussionmentioning
confidence: 99%
“…All analyses accounted for the survey weights, complex sampling design, and use of multiply imputed income data. 15…”
Section: Methodsmentioning
confidence: 99%
“…Because family income data were multiply imputed, statistical significance of bivariate comparisons for this variable was computed using unadjusted logistic regression. 19 In further analysis, we fit multivariable multinomial logistic regression models of need for specialty mental health care, with "met need" set as the reference category of the outcome variable. We repeated this analysis using alternative specifications of the mental health care measure and a more detailed categorization of respondents' residence, as described above.…”
Section: Methodsmentioning
confidence: 99%