Faculty Bibliography

Importance/UNASSIGNED:Pediatric guidelines suggest that infants younger than 2 years avoid screen time altogether, while children aged 2 to 5 years receive no more than 1 hour per day. Although these guidelines have been adopted around the world, substantial variability exists in adherence to the guidelines, and precise estimates are needed to inform public health and policy initiatives. Objective/UNASSIGNED:To derive the pooled prevalence via meta-analytic methods of children younger than 2 years and children aged 2 to 5 years who are meeting guidelines about screen time. Data Sources/UNASSIGNED:Searches were conducted in MEDLINE, PsycINFO, and Embase up to March 2020. Study Selection/UNASSIGNED:Studies were included if participants were 5 years and younger and the prevalence of meeting (or exceeding) screen time guidelines was reported. Data Extraction and Synthesis/UNASSIGNED:Data extraction followed Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Two independent reviewers extracted all relevant data. Random-effects meta-analyses were used to derive the mean prevalence rates. Main Outcomes and Measures/UNASSIGNED:Prevalence of meeting screen time guidelines. Results/UNASSIGNED:From 63 studies, 95 nonoverlapping samples with a total of 89 163 participants were included. For children younger than 2 years, the pooled prevalence of meeting the screen time guideline (0 h/d) was 24.7% (95% CI, 19.0%-31.5%). Moderator analyses revealed that prevalence of meeting screen time guidelines varied as a function of year of data collection (increased over time), measurement method (higher when questionnaires compared with interview), and type of device use (higher when a combination of screen use activities compared with television/movies only). For children aged 2 to 5 years, the mean prevalence of meeting the screen time guideline (1 h/d) was 35.6% (95% CI, 30.6%-40.9%). Moderator analyses revealed that the prevalence of meeting screen time guidelines varied as a function of type of device use (higher when screen time was television/movies only compared with a combination of screen use activities). Conclusions and Relevance/UNASSIGNED:The findings of this meta-analysis indicate that only a minority of children 5 years and younger are meeting screen time guidelines. This highlights the need to provide support and resources to families to best fit evidence-based recommendations into their lives.

To mitigate the negative impact of resource needs on child health, practices serving low-income immigrant families have implemented screening programs to connect families to community resources. Little is known about how duration of US residence relates to patterns of resource needs and indicators of acculturation such as community resource knowledge/experience or self-efficacy. We conducted a cross-sectional analysis of a convenience sample of immigrant families with young children at an urban primary care clinic. These families were seen 5/2018-1/2020 for well child care, screening positive for ≥1 social need using a tool derived from Health Leads. Analysis of 114 families found that newly arrived families with a shorter duration of US residence (≤5 years) were more likely to report immediate material hardships like food insecurity and need for essential child supplies. Newly arrived families were also less likely to have access to technology resources such as a computer or smartphone. Long-term families with a longer duration of US residence (≥15 years) were more likely to report chronic needs like poor housing conditions, but also reported increased community resource knowledge/experience and increased self-efficacy. Primary care pediatric practices should assess immigration contextual factors to identify subgroups such as newly arrived families with young children to target resources (e.g., increase screening frequency) or enhance services (e.g., patient navigators) to relieve resource needs.

Objectives: This poster will evaluate the clinical outcomes related to implementing a collaborative care service providing therapy, mental health assessment, and medication management in an academic pediatric primary care clinic.
Method(s): A modified collaborative care model was developed and implemented in order to provide therapy and mental health services to pediatric patients while simultaneously providing education and clinical supervision to providers to increase their capacity to participate in the behavioral health care of their patients. Encounter data was collected from the start of the program in March 2018 until March 2021 using electronic medical record data on all patients utilizing collaborative care services to measure trends in referrals for and utilization of collaborative care counseling and psychiatric services.
Result(s): All measures of utilization of the program increased over time. In March 2018, the first month of implementation, 22 patient visits occurred, 169 monthly visits occurred in March 2019, 290 monthly patient visits occurred in March 2020, and 320 monthly visits occurred in March 2021. Of note, monthly patient visits dropped 25% in April 2020 (first full month of pandemic), but patient visits rebounded in May 2020 and have continued to increase. The average wait time from referral to collaborative care to scheduling the first appointment has consistently remained at 1 week. Prior to the start of the program, 2/12 (16.7%) of full-time pediatricians reported feeling confident enough with their behavioral health knowledge to manage psychiatric medications. In March 2021, 12/13 (92.3%) pediatricians were routinely managing the psychiatric medications of their patients.
Conclusion(s): The development of a modified pediatric collaborative care psychiatry program including integrated counseling and psychiatry services in combination with building behavioral health capacity among pediatric providers can provide mental health services to a substantial number of pediatric patients in the primary care setting. In addition, the time from referral to the first appointment is more rapid than the average wait time for an intake appointment in local mental health clinics. Lastly, the percentage of pediatric providers who reported feeling the confidence to provide psychiatric medication management to their pediatric patients increased significantly. CON, AC, PYI
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Social determinants of health influence child health behavior, development, and outcomes. This paper frames social capital, or the benefits that a child receives from social relationships, as a positive social determinant of health that helps children exposed to adversity achieve healthy outcomes across the life course. Children are uniquely dependent on their relationships with surrounding adults for material and non-material resources. We identify and define three relevant aspects of social capital: 1) social support, which is embedded in a 2) social network, which is a structure through which 3) social cohesion can be observed. Social support is direct assistance available through social relationships and can be received indirectly through a caregiver or directly by a child. A child's social network describes the people in a child's life and the relationships between them. Social cohesion represents the strength of a group to which a child belongs (e.g. family, community). Pediatric primary care practices play an important role in fostering social relationships between families, the health care system, and the community. Further research is needed to develop definitional and measurement rigor for social capital, to evaluate interventions (e.g. peer health educators) that may improve health outcomes through social capital, and to broaden our understanding of how social relationships influence health outcomes.

OBJECTIVE:To assess relationships between material hardships, shortened sleep duration, and suboptimal sleep practices across infancy and toddlerhood in low-income Hispanic families. METHODS:We analyzed longitudinal data of 451 low-income Hispanic mother-child pairs from a child obesity prevention trial. During infancy and toddlerhood, we used adjusted linear regression to assess associations between material hardship (financial difficulty, food insecurity, housing disrepair, multiple hardships), sleep duration (24-hour, night), and the number of suboptimal sleep practices (e.g., later bedtime, co-sleeping). We used adjusted linear regression to assess the longitudinal association between the number of suboptimal sleep practices in infancy and toddlerhood, and tested whether specific or multiple hardships moderated this association. RESULTS:In infants, financial difficulty and multiple hardships were associated with decreased night sleep (B=-0.59 hours, 95% CI: -1.04, -0.14; and B=-0.54 hours, 95% CI: -1.00, -0.08). Housing disrepair was associated with decreased 24-hour sleep (B=-0.64 hours, 95% CI: -1.29, -0.01). In toddlers, each additional suboptimal sleep practice was associated with a decrease in night sleep (B=-0.19 hours, 95% CI: -0.29, -0.09). Each additional suboptimal sleep practice in infancy was associated with a 0.30 increase in the number of suboptimal sleep practices in toddlerhood (p<0.001), with greater increases for those with food insecurity or multiple hardships. CONCLUSION/CONCLUSIONS:Specific and multiple hardships shortened sleep duration during infancy, and moderated the increase of suboptimal sleep behaviors between infancy and toddlerhood. Future studies should consider these early critically sensitive periods for interventions to mitigate material hardships and establish healthy sleep practices.

OBJECTIVE:Inpatient discharge education is often suboptimal. Measures of parents' perceived comprehension of discharge instructions are included in national metrics given linkage to morbidity; few studies compare parents' perceived and actual comprehension. We (1) compared parent perceived and actual comprehension of discharge instructions and (2) assessed associations between plan complexity and parent health literacy with overestimation of comprehension (perceive comprehension but lack actual comprehension). METHODS:Prospective cohort study of English/Spanish-speaking parents (n=192) of inpatients ≤12 years old and discharged on ≥1 daily medication from an urban public hospital. We used McNemar's tests to compare parent perceived (agree/strongly agree on 5-point Likert scale) and actual comprehension (concordance of parent report with medical record) of instructions (domains: medications, appointments, return precautions, and restrictions). Generalized estimating equations were performed to assess associations between low parent health literacy (Newest Vital Sign score ≤3) and plan complexity with overestimation of comprehension. RESULTS:Medication side effects were the domain with lowest perceived comprehension (80%), while >95% of parents perceived comprehension for other domains. Actual comprehension varied by domain (41-87%) and was lower than perceived comprehension. Most (84%) parents overestimated comprehension in ≥1 domain. Plan complexity (adjusted odds ratio [aOR] 3.6 [95% CI 2.9-4.7]) and low health literacy (aOR 1.9 [1.3-2.6]) were associated with overestimation of comprehension. CONCLUSIONS:Parental perceived comprehension of discharge instructions overestimated actual comprehension in most domains. Plan complexity and low health literacy were associated with overestimation of comprehension. Future interventions should incorporate assessment of actual comprehension and standardization of discharge instructions.

OBJECTIVE:To examine associations between parent health literacy, discharge plan complexity, and parent comprehension of and adherence to inpatient discharge instructions. STUDY DESIGN/METHODS:This was a prospective cohort study of English/Spanish-speaking parents (n = 165) of children ≤12 years discharged on ≥1 daily medication from an urban, public hospital. Outcome variables were parent comprehension (survey) of and adherence (survey, in-person dosing assessment, chart review) to discharge instructions. Predictor variables included low parent health literacy (Newest Vital Sign score 0-3) and plan complexity. Generalized estimating equations were used to account for the assessment of multiple types of comprehension and adherence errors for each subject, adjusting for ethnicity, language, child age, length of stay, and chronic disease status. Similar analyses were performed to assess for mediation and moderation. RESULTS:Error rates were highest for comprehension of medication side effects (50%), adherence to medication dose (34%), and return precaution (78%) instructions. Comprehension errors were associated with adherence errors (aOR, 8.7; 95% CI, 5.9-12.9). Discharge plan complexity was associated with comprehension (aOR, 7.0; 95% CI, 5.4-9.1) and adherence (aOR, 5.5; 95% CI, 4.0-7.6) errors. Low health literacy was indirectly associated with adherence errors through comprehension errors. The association between plan complexity and comprehension errors was greater in parents with low (aOR, 8.3; 95% CI, 6.2-11.2) compared with adequate (aOR, 3.8; 95% CI, 2.2-6.5) health literacy (interaction term P = .004). CONCLUSIONS:Parent health literacy and discharge plan complexity play key roles in comprehension and adherence errors. Future work will focus on the development of health literacy-informed interventions to promote discharge plan comprehension.

OBJECTIVE:) and outcomes related to disease severity. METHODS:levels (predictors) from the patient's ZIP Code (not publicly available) from day of admission. Outcomes were mortality, intubation, length of stay (LOS), and total costs. We calculated weighted national estimates and performed multivariable analyses adjusting for sociodemographic and hospital factors. RESULTS:levels were associated with increased odds of intubation. CONCLUSIONS:were associated with more severe presentations of pneumonia. Future work should examine these relationships in more recent years and over a longer time period.