Where to make a difference: research and the social determinants in pediatrics and child health in the COVID-19 era.
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ABSTRACT:
SUBMITTER: Lachman P
PROVIDER: S-EPMC7654351 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
Where to make a difference: research and the social determinants in pediatrics and child health in the COVID-19 era.
Pediatric research 20201110 2
<h4>Impact</h4>Raises the importance of Social Determinants of Health in pediatrics. Considers the impact of Social Determinants of Health on COVID-19. Offers opportunities for research in the future. ...[more]
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Project description:Abstract The COVID- 19 pandemic has demonstrated the value of digital solutions to patient care and to patient safety. here are many solutions that have yet to be fully implemented. In this commentary we discuss the value of barcode technology to ensure secure supply chains and the delivery of reliable and efficient processes in healthcare. This will facilitate the implementation of WHO policies on supply chains as well as support initiatives on medication safety.
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Project description:OBJECTIVE:Cash transfer programmes targeting children are considered an effective strategy for addressing child poverty and for improving child health outcomes in developing countries. In South Africa, the Child Support Grant (CSG) is the largest cash transfer programme targeting children from poor households. The present paper investigates the association of the duration of CSG receipt with child growth at 2 years in three diverse areas of South Africa. DESIGN:The study analysed data on CSG receipt and anthropometric measurements from children. Predictors of stunting were assessed using a backward regression model. SETTING:Paarl (peri-urban), Rietvlei (rural) and Umlazi (urban township), South Africa, 2008. SUBJECTS:Children (n 746), median age 22 months. RESULTS:High rates of stunting were observed in Umlazi (28 %), Rietvlei (20 %) and Paarl (17 %). Duration of CSG receipt had no effect on stunting. HIV exposure (adjusted OR=2·30; 95 % CI 1·31, 4·03) and low birth weight (adjusted=OR 2·01, 95 % CI 1·02, 3·96) were associated with stunting, and maternal education had a protective effect on stunting. CONCLUSIONS:Our findings suggest that, despite the presence of the CSG, high rates of stunting among poor children continue unabated in South Africa. We argue that the effect of the CSG on nutritional status may have been eroded by food price inflation and limited progress in the provision of other important interventions and social services.
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Project description:ImportanceSocial determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health.ObjectiveTo identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes.Design, setting, and participantsThis population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states.ExposuresEighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns.Main outcomes and measuresAssociations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models.ResultsAmong 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (β = 0.75; 95% CI, 0.14-1.37) and externalizing (β = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health.ConclusionsThis study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.
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Project description:ObjectiveTo evaluate the effect of a clinic-based screening and referral system (Well Child Care, Evaluation, Community Resources, Advocacy, Referral, Education [WE CARE]) on families' receipt of community-based resources for unmet basic needs.MethodsWe conducted a cluster randomized controlled trial at 8 urban community health centers, recruiting mothers of healthy infants. In the 4 WE CARE clinics, mothers completed a self-report screening instrument that assessed needs for child care, education, employment, food security, household heat, and housing. Providers made referrals for families; staff provided requisite applications and telephoned referred mothers within 1 month. Families at the 4 control community health centers received the usual care. We analyzed the results with generalized mixed-effect models.ResultsThree hundred thirty-six mothers were enrolled in the study (168 per arm). The majority of families had household incomes <$20,000 (57%), and 68% had ≥ 2 unmet basic needs. More WE CARE mothers received ≥ 1 referral at the index visit (70% vs 8%; adjusted odds ratio [aOR] = 29.6; 95% confidence interval [CI], 14.7-59.6). At the 12-month visit, more WE CARE mothers had enrolled in a new community resource (39% vs 24%; aOR = 2.1; 95% CI, 1.2-3.7). WE CARE mothers had greater odds of being employed (aOR = 44.4; 95% CI, 9.8-201.4). WE CARE children had greater odds of being in child care (aOR = 6.3; 95% CI, 1.5-26.0). WE CARE families had greater odds of receiving fuel assistance (aOR = 11.9; 95% CI, 1.7-82.9) and lower odds of being in a homeless shelter (aOR = 0.2; 95% CI, 0.1-0.9).ConclusionsSystematically screening and referring for social determinants during well child care can lead to the receipt of more community resources for families.
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