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Strengthen the Evidence for Maternal and Child Health Programs

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Below are articles that support specific interventions to advance MCH National Performance Measures (NPMs) and Standardized Measures (SMs). Most interventions contain multiple components as part of a coordinated strategy/approach.

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Displaying records 1 through 2 (2 total).

Ray KN, Wittman SR, Burns S, Doan TT, Schweiberger KA, Yabes JG, Hanmer J, Krishnamurti T. Parent-Reported Use of Pediatric Primary Care Telemedicine: Survey Study. J Med Internet Res. 2023 Feb 9;25:e42892. doi: 10.2196/42892. PMID: 36757763; PMCID: PMC9951070.

Evidence Rating: Emerging

Intervention Components (click on component to see a list of all articles that use that intervention): Telemedicine Systems (Hospital), Training (Parent/Family), Enhanced Equitable Access

Intervention Description: N/A

Intervention Results: Of 1206 respondents, 1054 reported a usual source of care for their children. Of these respondents, 301 of 1054 (weighted percentage 28%) reported primary care telemedicine visits for their children. Factors associated with primary care telemedicine use versus nonuse included having a child with a chronic medical condition (87/301, weighted percentage 27% vs 113/753, 15%, respectively; P=.002), metropolitan residence (262/301, weighted percentage 88% vs 598/753, 78%, respectively; P=.004), greater internet connectivity concerns (60/301, weighted percentage 24% vs 116/753, 16%, respectively; P=.05), and greater health literacy (285/301, weighted percentage 96% vs 693/753, 91%, respectively; P=.005).

Conclusion: n a national sample of respondents with a usual source of care for their children, approximately one-quarter reported use of primary care telemedicine for their children as of 2022. Equitable access to primary care telemedicine may be enhanced by promoting access to primary care, sustaining payment for primary care telemedicine, addressing barriers in nonmetropolitan practices, and designing for lower health-literacy populations.

Study Design: We first compared sociodemographic factors among respondents who did and did not report a usual source of care for their children. Among those reporting a usual source of care, we used Rao-Scott F tests to examine factors associated with parent-reported use versus nonuse of primary care telemedicine for their children.

Setting: AmeriSpeak panel survey

Population of Focus: Families using telemedicine

Sample Size: 1206

Age Range: 0-17

Access Abstract

Weller BE, Faubert SJ, Ault AK. Youth Access to Medical Homes and Medical Home Components by Race and Ethnicity. Matern Child Health J. 2020 Feb;24(2):241-249. doi: 10.1007/s10995-019-02831-3. PMID: 31828575.

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): Access, Enhanced Equitable Access

Intervention Description: N/A

Intervention Results: Although 49% of the total sample had access to a medical home, 57.1% of white youth had access compared to 37% of Hispanic youth and 39.7% of black youth. Among youth without a medical home, black youth had less access than white youth to a usual place for care (64.7% vs. 55.3%, adjusted odds ratio [aOR] = 0.82, 95% confidence interval [CI] 0.69-0.97) and family-centered care (78.1% vs. 66.7%, aOR = 0.64, 95% CI 0.52-0.79). Hispanic youth (68.2%) also had less access to family-centered care than white youth (aOR = 0.73, 95% CI 0.60-0.89). White youth were less likely to have access to effective care coordination, when needed, than Hispanic youth (46.2% vs. 53.5%, aOR = 1.35, 95% CI 1.09-1.66).

Conclusion: Our findings suggest racial/ethnic disparities exist in youth's access to a medical home and its components. We posit the need for continued efforts to enhance access to medical homes for all youth. Future studies need to examine systemic barriers to youth's access to medical homes.

Study Design: We conducted secondary data analysis using the 2016-2017 National Survey of Children's Health, a nationally representative, cross-sectional survey of U.S. youth age 0-17 years (N = 62,308). We obtained weighted and unweighted descriptive statistics and conducted multivariate logit regression models.

Setting: NSCH Survey; United States

Population of Focus: Racial and ethnic minorities

Sample Size: 62408

Age Range: 0-17

Access Abstract

The MCH Digital Library is one of six special collections at Geogetown University, the nation's oldest Jesuit institution of higher education. It is supported in part by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under award number U02MC31613, MCH Advanced Education Policy with an award of $700,000/year. The library is also supported through foundation and univerity funding. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.