Using Geomarkers and Sociodemographics to Inform Assessment of Caregiver Adversity and Resilience.

BACKGROUND AND OBJECTIVES: A high level of caregiver adverse childhood experiences (ACEs) and/or low resilience is associated with poor outcomes for both caregivers and their children after hospital discharge. It is unknown if sociodemographic or area-based measures (ie, "geomarkers") can inform the assessment of caregiver ACEs or resilience. Our objective was to determine if caregiver ACEs or resilience can be identified by using any combinations of sociodemographic measures, geomarkers, and/or caregiver-reported household characteristics. METHODS: Eligible participants for this cohort study were English-speaking caregivers of children hospitalized on a hospital medicine team. Caregivers completed the ACE questionnaire, Brief Resilience Scale, and strain surveys. Exposures included sociodemographic characteristics available in the electronic health record (EHR), geomarkers tied to a patient's geocoded home address, and household characteristics that are not present in the EHR (eg, income). Primary outcomes were a high caregiver ACE score (≥4) and/or a low BRS Score (<3). RESULTS: Of the 1272 included caregivers, 543 reported high ACE or low resilience, and 63 reported both. We developed the following regression models: sociodemographic variables in EHR (Model 1), EHR sociodemographics and geomarkers (Model 2), and EHR sociodemographics, geomarkers, and additional survey-reported household characteristics (Model 3). The ability of models to identify the presence of caregiver adversity was poor (all areas under receiver operating characteristics curves were <0.65). CONCLUSIONS: Models using EHR data, geomarkers, and household-level characteristics to identify caregiver adversity had limited utility. Directly asking questions to caregivers or integrating risk and strength assessments during pediatric hospitalization may be a better approach to identifying caregiver adversity.

Pediatricians Contributing to Poverty Reduction Through Clinical-Community Partnership and Collective Action: A Narrative Review.

Poverty affects child health and well-being in short- and long-term ways, directly and indirectly influencing a range of health outcomes through linked social and environmental challenges. Given these links, pediatricians have long advocated for poverty reduction in both clinical settings and society. Pediatricians and others who work in pediatric settings are well-suited to address poverty given frequent touchpoints with children and families and the trust that develops over repeated encounters. Many pediatricians also recognize the need for cross-sector engagement, mobilization, and innovation in building larger collaborative efforts to combat the harmful effects of poverty. A range of methods, like co-design, community organizing, and community-engaged quality improvement, are necessary to achieve measurable progress. Moreover, advancing meaningful representation and inclusion of those from underrepresented racial and ethnic minority groups will augment efforts to address poverty within and equity across communities. Such methods promote and strengthen key clinical-community partnerships poised to address poverty's upstream root causes and its harmful consequences downstream. This article focuses on those clinical-community intersections and cross-sector, multi-disciplinary programs like Medical-Legal Partnerships, Medical-Financial Partnerships, clinic-based food pantries, and embedded behavioral health services. Such programs and partnerships increase access to services difficult for children living in poverty to obtain. Partnerships can also broaden to include community-wide learning networks and asset-building coalitions, poised to accelerate meaningful change. Pediatricians and allied professionals can play an active role; they can convene, catalyze, partner, and mobilize to create solutions designed to mitigate the harmful effects of poverty on child health.

Lost Earnings and Nonmedical Expenses of Pediatric Hospitalizations.

BACKGROUND AND OBJECTIVES: Hospitalization-related nonmedical costs, including lost earnings and expenses such as transportation, meals, and child care, can lead to challenges in prioritizing postdischarge decisions. In this study, we quantify such costs and evaluate their relationship with sociodemographic factors, including family-reported financial and social hardships. METHODS: This was a cross-sectional analysis of data collected during the Hospital-to-Home Outcomes Study, a randomized trial designed to determine the effects of a nurse home visit after standard pediatric discharge. Parents completed an in-person survey during the child's hospitalization. The survey included sociodemographic characteristics of the parent and child, measures of financial and social hardship, household income and also evaluated the family's total nonmedical cost burden, which was defined as all lost earnings plus expenses. A daily cost burden (DCB) standardized it for a 24-hour period. The daily cost burden as a percentage of daily household income (DCBi) was also calculated. RESULTS: Median total cost burden for the 1372 households was $113, the median DCB was $51, and the median DCBi was 45%. DCB and DCBi varied across many sociodemographic characteristics. In particular, single-parent households (those with less work flexibility and more financial hardships experienced significantly higher DCB and DCBi. Those who reported ≥3 financial hardships lost or spent 6-times more of their daily income on nonmedical costs than those without hardships. Those with ≥1 social hardships lost or spent double their daily income compared with those without social hardships. CONCLUSIONS: Nonmedical costs place burdens on families of children who are hospitalized, disproportionately affecting those with competing socioeconomic challenges.

Using Address Information to Identify Hardships Reported by Families of Children Hospitalized With Asthma.

OBJECTIVE: Socioeconomic hardship is common among children hospitalized for asthma but often not practically measurable. Information on where a child resides is universally available. We sought to determine the correlation between neighborhood-level socioeconomic data and family-reported hardships. METHODS: Caregivers of 774 children hospitalized with asthma answered questions regarding income, financial strain, and primary care access. Addresses were geocoded and linked to zip code-, census tract-, and block group-level (neighborhood) data from the US Census. We then compared neighborhood median household income with family-reported household income; percentage of neighborhood residents living in poverty with family-reported financial strain; and percentage of neighborhood households without an available vehicle with family-reported access to primary care. We constructed heat maps and quantified correlations using Kendall rank correlation coefficient. Receiver operator characteristic curves were used to assess predictive abilities of neighborhood measures. RESULTS: The cohort was 57% African American and 73% publicly-insured; 63% reported income <$30,000, 32% endorsed ≥4 financial strain measures, and 38% reported less than adequate primary care access. Neighborhood median household income was significantly and moderately correlated with and predictive of reported household income; neighborhood poverty was similarly related to financial strain; neighborhood vehicle availability was weakly correlated with and predictive of primary care access. Correlations and predictions provided by zip code measures were similar to those of census tract and block group. CONCLUSIONS: Universally available neighborhood information might help efficiently identify children and families with socioeconomic hardships. Systematic screening with area-level socioeconomic measures has the potential to inform resource allocation more efficiently.

Determinants of Health and Pediatric Primary Care Practices.

More than 20% of children nationally live in poverty. Pediatric primary care practices are critical points-of-contact for these patients and their families. Practices must consider risks that are rooted in poverty as they determine how to best deliver family-centered care and move toward action on the social determinants of health. The Practice-Level Care Delivery Subgroup of the Academic Pediatric Association's Task Force on Poverty has developed a roadmap for pediatric providers and practices to use as they adopt clinical practice redesign strategies aimed at mitigating poverty's negative impact on child health and well-being. The present article describes how care structures and processes can be altered in ways that align with the needs of families living in poverty. Attention is paid to both facilitators of and barriers to successful redesign strategies. We also illustrate how such a roadmap can be adapted by practices depending on the degree of patient need and the availability of practice resources devoted to intervening on the social determinants of health. In addition, ways in which practices can advocate for families in their communities and nationally are identified. Finally, given the relative dearth of evidence for many poverty-focused interventions in primary care, areas that would benefit from more in-depth study are considered. Such a focus is especially relevant as practices consider how they can best help families mitigate the impact of poverty-related risks in ways that promote long-term health and well-being for children.

Development and validation of the PROcedural Sedation Assessment Survey (PROSAS) for assessment of procedural sedation quality.

BACKGROUND: More than 20 million invasive procedures are performed annually in the United States. The vast majority are performed with moderate sedation or deep sedation, yet there is limited understanding of the drivers of sedation quality and patient satisfaction. Currently, the major gap in quality assurance for invasive procedures is the lack of procedural sedation quality measures. OBJECTIVE: To develop and validate a robust, patient-centered measure of procedural sedation quality, the PROcedural Sedation Assessment Survey (PROSAS). DESIGN: Through a series of interviews with patients, proceduralists, nurses, anesthesiologists, and an interactive patient focus group, major domains influencing procedural sedation quality were used to create a multipart survey. The pilot survey was administered and revised in sequential cohorts of adults receiving moderate sedation for GI endoscopy. After revision, the PROSAS was administered to a validation cohort. SETTING: GI endoscopy unit. PATIENTS: A expert panel of proceduralists, nurses, and anesthesiologists, an initial survey development cohort of 40 patients, and a validation cohort of 858 patients undergoing sedation for outpatient GI endoscopy with additional surveys completed by the gastroenterologist, procedure nurse, and recovery nurse. MAIN OUTCOMES AND MEASUREMENTS: Survey characteristics of the PROSAS. RESULTS: Patients were able to independently complete the PROSAS after procedural sedation before discharge. Of the patients, 91.6% reported minimal discomfort; however, 8.4% of patients reported significant discomfort and 2.4% of patients experienced hemodynamic and/or respiratory instability. There was a high correlation between patient-reported intraprocedure discomfort and both clinician assessments of procedural discomfort and patient recall of procedural pain 24 to 48 hours post procedure (P < .001 for all), suggesting high external validity. LIMITATIONS: Single-center study, variability of sedation technique between providers, inclusion of patients with chronic pain taking analgesics. CONCLUSIONS: The PROSAS is a clinically relevant, patient-centered, easily administered instrument that allows for standardized evaluation of procedural sedation quality. The PROSAS may be useful in both research and clinical settings.

Rapid assessment of trachoma in underserved population of Car-Nicobar Island, India.

PURPOSE: To determine the burden of trachoma and its related risk factors amongst the native population of Car-Nicobar Island in India. METHODS: Rapid assessment for trachoma was conducted in ten villages of Car-Nicobar Island according to standard WHO guidelines. An average of 50 children aged 1-9 years were assessed clinically for signs of active trachoma and facial cleanliness in each village. Additionally, all adults above 15 years of age in these households were examined for evidence of trachomatous trichiasis and corneal opacity. Environmental risk factors contributing to trachoma like limited access to potable water & functional latrine, presence of animal pen and garbage within the Nicobari hut were also noted in all villages. RESULTS: Out of a total of fifteen villages in Car-Nicobar Island, ten villages were selected for trachoma survey depending on evidence of socio-developmental indicators like poverty and decreased access to water, sanitation and healthcare facilities. The total population of the selected clusters was 7277 in the ten villages. Overall, 251 of 516 children (48.6%;CI: 46.5-55.1) had evidence of follicular stage of trachoma and 11 children (2.1%;CI:1.0-3.4) had evidence of inflammatory stage of trachoma. Nearly 15%(CI:12.1-18.3) children were noted to have unclean faces in the ten villages. Trachomatous trichiasis was noted in 73 adults (1.0%;CI:0.8-1.2). The environmental sanitation was not found to be satisfactory in the surveyed villages mainly due to the co-habitance of Nicobari people with domestic animals like pigs, hens, goats, dogs, cats etc in most (96.4%) of the households. CONCLUSION: Active trachoma and trachomatous trichiasis was observed in all the ten villages surveyed, wherein trachoma control measures are needed.

The conduct of in vitro and in vivo drug-drug interaction studies: a Pharmaceutical Research and Manufacturers of America (PhRMA) perspective.

Current regulatory guidances do not address specific study designs for in vitro and in vivo drug-drug interaction studies. There is a common desire by regulatory authorities and by industry sponsors to harmonize approaches, to allow for a better assessment of the significance of findings across different studies and drugs. There is also a growing consensus for the standardization of cytochrome P450 (P450) probe substrates, inhibitors and inducers and for the development of classification systems to improve the communication of risk to health care providers and to patients. While existing guidances cover mainly P450-mediated drug interactions, the importance of other mechanisms, such as transporters, has been recognized more recently, and should also be addressed. This article was prepared by the Pharmaceutical Research and Manufacturers of America (PhRMA) Drug Metabolism and Clinical Pharmacology Technical Working Groups and represents the current industry position. The intent is to define a minimal best practice for in vitro and in vivo pharmacokinetic drug-drug interaction studies targeted to development (not discovery support) and to define a data package that can be expected by regulatory agencies in compound registration dossiers.