Objective. To examine health status and health care experiences of homeless patients in health centers and to compare them with their nonhomeless counterparts. Data Sources/Study Setting. Nationally representative data from the 2009 Health Center Patient Survey. Study Design. Cross-sectional analyses were limited to adults (n = 2,683). We compared sociodemographic characteristics, health conditions, access to health care, and utilization of services among homeless and nonhomeless patients. We also examined the independent effect of homelessness on health care access and utilization, as well as factors that influenced homeless patients' health care experiences. Data Collection. Computer-assisted personal interviews were conducted with health center patients. Principal Findings. Homeless patients had worse health status-lifetime burden of chronic conditions, mental health problems, and substance use problems-compared with housed respondents. In adjusted analyses, homeless patients had twice the odds as housed patients of having unmet medical care needs in the past year (OR = 1.98, 95 percent CI: 1.24-3.16) and twice the odds of having an ED visit in the past year (OR = 2.00, 95 percent CI: 1.37-2.92).Conclusions. There is an ongoing need to focus on the health issues that disproportionately affect homeless populations. Among health center patients, homelessness is an independent risk factor for unmet medical needs and ED use.

Introduction Since 2001, the Health Resources and Services Administration's Maternal and Child Health Bureau (HRSA MCHB) has funded and directed the National Survey of Children's Health (NSCH) and the National Survey of Children with Special Health Care Needs (NS-CSHCN), unique sources of national and state-level data on child health and health care. Between 2012 and 2015, HRSA MCHB redesigned the surveys, combining content into a single survey, and shifting from a periodic interviewer-assisted telephone survey to an annual self-administered web/paper-based survey utilizing an address-based sampling frame. Methods The U.S. Census Bureau fielded the redesigned NSCH using a random sample of addresses drawn from the Census Master Address File, supplemented with a unique administrative flag to identify households most likely to include children. Data were collected June 2016-February 2017 using a multi-mode design, encouraging web-based responses while allowing for paper mail-in responses. A parent/caregiver knowledgeable about the child's health completed an age-appropriate questionnaire. Experiments on incentives, branding, and contact strategies were conducted. Results Data were released in September 2017. The final sample size was 50,212 children; the overall weighted response rate was 40.7%. Comparison of 2016 estimates to those from previous survey iterations are not appropriate due to sampling and mode changes. Discussion The NSCH remains an invaluable data source for key measures of child health and attendant health care system, family, and community factors. The redesigned survey extended the utility of this resource while seeking a balance between previous strengths and innovations now possible.

Ensuring the well-being of the 73 million children in the United States is critical for improving the nation's health and influencing children's long-term outcomes as they grow into adults. OBJECTIVE To examine recent trends in children's health-related measures, including significant changes between 2019 and 2020 that might be attributed to the COVID-19 pandemic. DESIGN, SETTING, AND PARTICIPANTS Annual data were examined from the National Survey of Children's Health (2016-2020), a population-based, nationally representative survey of randomly selected children. Participants were children from birth to age 17 years living in noninstitution settings in all 50 states and the District of Columbia whose parent or caregiver responded to an address-based survey by mail or web. Weighted prevalence estimates account for probability of selection and nonresponse. Adjusted logistic regression models tested for significant trends over time.MAIN OUTCOMES AND MEASURES Diverse measures pertaining to children's current health conditions, positive health behaviors, health care access and utilization, and family well-being and stressors.

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This study reveals that few youth with and without SHCN receive transition planning support. It underscores the need for HCPs to work with youth independently and in collaboration with parents and/or caregivers throughout adolescence to gain self-care skills and prepare for adult-focused care.

Aims We determined whether homelessness is associated with cigarette smoking independent of other socioeconomic measures and behavioral health factors, and whether homeless smokers differ from non-homeless smokers in their desire to quit. Design, Setting, and Participants We analyzed data from 2,678 adult respondents to the 2009 Health Center Patient Survey, a nationally representative cross-sectional survey of homeless and non-homeless individuals using U.S. federally-funded community health centers. Measurements We used multivariable logistic regression to examine the association between homelessness and (1) current cigarette smoking among all adults, and (2) past-year desire to quit among current smokers, adjusting for demographic, socioeconomic, and behavioral health characteristics. Findings Adults with any history of homelessness were more likely than never homeless respondents to be current smokers (57% vs. 27%, p<0.001). In multivariable models, a history of homelessness was independently associated with current smoking (AOR 2.09; 95% CI 1.49-2.93), even after adjusting for age, sex, race, veteran status, insurance, education, employment, income, mental illness, and alcohol and drug abuse. Housing status was not significantly associated with past-year desire to stop smoking in unadjusted (p=0.26) or adjusted (p=0.60) analyses; 84% of currently homeless, 89% of formerly homeless, and 82% of never homeless smokers reported wanting to quit. Conclusions Among patients of U.S. health centers, a history of homelessness doubles the odds of being a current smoker independent of other socioeconomic factors and behavioral health conditions. However, homeless smokers do not differ from non-homeless smokers in their desire to quit and should be offered effective interventions.

Objectives To evaluate the relationship between Patient-centered Medical Home (PCMH) model adoption in health centers (HCs) and clinical performance measures and to determine if adoption of PCMH characteristics is associated with better clinical performance. Research Design Data came from the Health Resources and Services Administration’s 2009 Uniform Data System and the 2009 Commonwealth Fund National Survey of Federally Qualified Health Centers. Clinical performance measures included 2 process measures (childhood immunization and cervical cancer screening) and 2 outcome measures (hypertension control and diabetes control). Total and subscale PCMH scores were regressed on the clinical performance measures, adjusting for patient, provider, financial, and institutional characteristics. Results The findings showed different directional relationships, with some PCMH domains (care management, test/referral tracking, quality improvement, and external coordination) showing little or no effect on outcome measures of interest, 1 domain (access/communication) associated with improved outcomes, and 1 domain (patient tracking/registry) associated with worse outcomes. Conclusions This study is among the first to examine the association between PCMH transformation and clinical performance in HCs, providing an understanding of the impact of PCMH adoption within safety-net settings. The mixed results highlight the importance of examining relationships between specific PCMH domains and specific clinical quality measures, in addition to analyzing overall PCMH scores which could yield distorted findings.

The Healthy Weight Collaborative (HWC) represents a national quality improvement effort to increase uptake of evidence-based community-based interventions to address obesity among children. Implemented from 2011 to 2013, the HWC built the capacity of 49 community-based multisector teams (10 teams in the Phase 1 pilot, 39 teams in Phase 2), delivered services to support health behavior changes in children and families, and implemented sustainable social and environmental policy change at the organizational and community levels. Phase 2 teams participated in three virtual collaborative learning sessions interspersed with three "action periods" during which teams implemented the HWC "change package" while receiving tailored coaching and peer-support. All of the teams participating in Phase 2 adopted a healthy weight message, 59% implemented community-wide healthy weight assessments and healthy weight plans, and 31% made progress toward developing and implementing policies to promote healthy weight. By the end of the project, one-third of teams had developed sustainability plans to continue working with this approach. The HWC offers a collaborative team model with the potential to effectively address other public health challenges.