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Objectives: Interest in linking patients with unmet social needs to area-level resources, such as food pantries and employment centres in one's ZIP code, is growing. However, whether the presence of these resources is associated with better health outcomes is unclear. We sought to determine if area-level resources, defined as organisations that assist individuals with meeting health-related social needs, are associated with lower levels of cardiometabolic risk factors., Design: Cross-sectional., Setting: Data were collected in a primary care network in eastern Massachusetts in 2015., Participants and Primary and Secondary Outcome Measures: 123 355 participants were included. The primary outcome was body mass index (BMI). The secondary outcomes were systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol and haemoglobin A1c (HbA1c). All participants were included in BMI analyses. Participants with hypertension were included in SBP analyses. Participants with an indication for cholesterol lowering were included in LDL analyses and participants with diabetes mellitus were included in HbA1c analyses. We used a random forest-based machine-learning algorithm to identify types of resources associated with study outcomes. We then tested the association of ZIP-level selected resource types (three for BMI, two each for SBP and HbA1c analyses and one for LDL analyses) with these outcomes, using multilevel models to account for individual-level, clinic-level and other area-level factors., Results: Resources associated with lower BMI included more food resources (-0.08 kg/m 2 per additional resource, 95% CI -0.13 to -0.03 kg/m 2 ), employment resources (-0.05 kg/m 2 , 95% CI -0.11 to -0.002 kg/m 2 ) and nutrition resources (-0.07 kg/m 2 , 95% CI -0.13 to -0.01 kg/m 2 ). No area resources were associated with differences in SBP, LDL or HbA1c., Conclusions: Access to specific local resources is associated with better BMI. Efforts to link patients to area resources, and to improve the resources landscape within communities, may help reduce BMI and improve population health., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: The objectives of this study were to characterize (1) families' cumulative burden of health-related social problems regarding access to health care, housing, food security, income security, and intimate partner violence; (2) families' experiences regarding screening and referral for social problems; and (3) parental acceptability of screening and referral., Methods: We surveyed 205 parents of children who were 0 to 6 years of age and attended 2 urban pediatric clinics for a well-child visit using a self-administered, computer-based questionnaire. The questionnaire included previously validated questions about health-related social problems and new questions about screening and referral in the past 12 months., Results: A total of 205 (79%) of 260 eligible families participated. Eighty-two percent of families reported > or = 1 health-related social problem; 54% experienced problems in > or = 2 social domains. Families experienced similar types and frequencies of problems despite demographic differences between clinics. One third of families reported no screening in any domain in the previous 12 months. Of 205 families, 143 (70%) identified at least 1 need for a referral; 101 (49%) expressed > or = 1 unmet referral need. Of families who reported receiving referrals, 115 referrals were received by 79 families; of the referrals made, 63% (73 of 115) led to contact with the referral agency, and 82% (60 of 73) of the referral agencies were considered helpful. A computer-based system in a pediatrician's office for future screening and referral for health-related social problems was deemed acceptable by 92% of parents., Conclusions: Urban children and families reported a significant burden of health-related social problems yet infrequent pediatric screening or referral for these problems. Of families who reported receiving referrals, a majority contacted the recommended agencies and found them helpful. This study also demonstrates the feasibility of using a computer-based questionnaire to identify health-related social problems in a routine outpatient clinic setting.

Objectives: The purpose of this study was to describe the population of children with chronic mechanical ventilation in Massachusetts and their patterns of medical care., Patients and Methods: Investigators surveyed all of the Massachusetts home ventilator clinics, pediatric pulmonary services, hospital-based pediatric services for special health care needs, insurers, home care vendors, nursing agencies, the Massachusetts Department of Public Health, selected individual providers, and rehabilitation and long-term care facilities providing services to children with chronic respiratory support needs. Support was defined as daily use of noninvasive, negative-pressure, or invasive/transtracheal ventilators. Subsequent matching of demographic data, including date of birth, zip code, and gender supported maximal census yield without duplications. Geographic information systems were used to create distribution maps and estimate distances between children with chronic mechanical ventilator needs and key resources., Results: A total of 197 children were identified as requiring chronic mechanical respiratory support in Massachusetts in 2005, which was a nearly threefold increase in this population in the 15-year interval since the last census. Congenital or perinatal-acquired neurologic or neuromuscular disorders constituted the majority of primary diagnoses (n = 107 [54%]). Chronic lung disease attributed to prematurity represented only 7% of the sample., Conclusions: Children receiving chronic mechanical respiratory support are a growing population. The shift in underlying diagnoses from pulmonary disease to neurogenic respiratory insufficiency has implications for hospital and community-based providers from all disciplines in extending services to the home setting. Barriers encountered when performing this study, however, reflect an overall lack of coordination among the many individuals and agencies involved in their care. Coordinated and centralized care efforts require a clear and managed flow of information; census reports such as this one are only the beginning. Direct needs assessments and quality-of-life surveys from families are needed to design and implement programmatic changes and advocacy efforts.