A guide to understanding big data for the nurse scientist: A discursive paper.

Big data refers to extremely large data generated at high volume, velocity, variety, and veracity. The nurse scientist is uniquely positioned to leverage big data to suggest novel hypotheses on patient care and the healthcare system. The purpose of this paper is to provide an introductory guide to understanding the use and capability of big data for nurse scientists. Herein, we discuss the practical, ethical, social, and educational implications of using big data in nursing research. Some practical challenges with the use of big data include data accessibility, data quality, missing data, variable data standards, fragmentation of health data, and software considerations. Opposing ethical positions arise with the use of big data, and arguments for and against the use of big data are underpinned by concerns about confidentiality, anonymity, and autonomy. The use of big data has health equity dimensions and addressing equity in data is an ethical imperative. There is a need to incorporate competencies needed to leverage big data for nursing research into advanced nursing educational curricula. Nursing science has a great opportunity to evolve and embrace the potential of big data. Nurse scientists should not be spectators but collaborators and drivers of policy change to better leverage and harness the potential of big data.

Pediatric Health and System Impacts of Mass Incarceration, 2009-2020: A Matched Cohort Study.

OBJECTIVE: The US has the highest incarceration rate in the world; incarceration's direct and indirect toll on the health and health care use of youth is rarely investigated. We sought to compare the health of youth with known personal or family justice involvement and a matched cohort of youth without known personal/family justice involvement. METHODS: A cross-sectional matched parallel cohort study was conducted. We queried electronic health records on youth (<21 years) with a visit in a large Midwestern pediatric hospital-based institution from January 2009 to December 2020. Youth were located by searching for justice-related (eg, prison, jail) keywords within all clinician notes. Health diagnostic profiles were measured using ICD 9/10 codes. Health care use included total admissions, inpatient days, emergent and urgent visits, and outpatient visits. RESULTS: Across all youth at one institution over an 11-year period, 2.2% (N = 38,263) were identified as having probable personal or family justice-involvement. Youth with personal or familial justice involvement had 1.5-16.2 times the prevalence of mental health and physical health diagnoses across all domain groupings compared to a matched sample and the total population sample. From 2009-2020, approximately two-thirds of behavioral health care and nearly a quarter of all hospital inpatient days were attributed to the 2.2% of youth with probable personal or familial justice system involvement. CONCLUSION: The study illuminates the vast disparities between youth with indirect or direct contact with the criminal legal system and matched youth with no documented contact. Better investment in monitoring and prevention efforts are needed.

"[It] Does Harden a Person Working in Such a Stressful Environment": U.S. Correctional Nurses Share Spillover Effects of Their Work.

BACKGROUND: The United States makes up 4.4% of the world's population but nearly a quarter of the world's incarcerated population. Despite caring for nearly 2 million incarcerated persons and managing their unique needs, little is known about how this work spills over and affects the nurses who work in correctional settings. STUDY OBJECTIVE: This descriptive study aimed to (a) examine write-in answers regarding correctional nurse perceptions of how their work impacts their health and their home lives and (b) explore correctional nurse responses for how to improve the work environment to better support their well-being. METHOD: The researchers compiled and analyzed qualitative data from a cross-sectional study where U.S. correctional nurses (N = 270) completed an online survey. Manifest content analysis was used to analyze optional write-in data. RESULTS: Approximately 41% (n = 111) of participants answered qualitative questions. Participants were primarily White (77.3%) and non-Hispanic or Latino (88.7%), working in prisons (65.8%), and employed by the state (63.8%) as registered nurses (70%). Three major themes emerged: (a) "personal impact": increased stress and burnout, overwhelming work hours, and emotional and physical effects; (b) "social relationships and family impacts": withdrawn, strained homelife, and uncertainty; and (c) "need for change": improved staffing, reduced mandatory overtime, and better support from management. CONCLUSIONS: Correctional organizations may consider ways to support the well-being of their nurses through adequate staffing, flexible scheduling, decreased mandatory overtime, and hiring effective nurse managers as key members of the correctional team.

Unlocking Prevalence Data: Describing the Job Stress and Well-being of U.S. Correctional Nurses.

BACKGROUND: Little is known about the health and well-being of U.S. correctional nurses. To protect correctional nurses, a better understanding of organizational characteristics, job stress, and well-being must be undertaken. METHOD: A cross-sectional design was used in the form of an online survey. Correctional nurses were conveniently recruited using national listservs and snowball sampling. Variables were measured with the Health & Safety Executive Management Standards Indicator Tool, Nurse Wellbeing Index, and the Perceived Stress Scale. Data were analyzed using descriptive statistics and analyses of variance. FINDINGS: Two hundred seventy participants (142 registered nurses, 83 licensed practical nurses/licensed vocational nurses, and 42 advanced practice nurses) completed the survey. Job stress scored moderate (M = 16.26, SD = 7.14), and well-being levels were just below the risk for adverse events (M = 1.8, SD = 3.06). Lower scores were noted for managerial support (M = 3.13, SD = 0.35) and job demands (M = 3.56, SD = 0.92), but slightly better for job control (M = 3.57, SD = 0.77), peer support (M = 3.85, SD = 0.64), and workplace relationships (M = 3.73, SD = 0.95). CONCLUSIONS: Significant differences between organizational characteristics, job stress, and well-being were found across nursing licensure, workplace environments, biological sex, and employment through state or private agencies. Registered nurses working in U.S. prisons experienced the highest job stress and worse well-being. APPLICATION TO PRACTICE: This work is an essential next step in promoting healthy workspaces, urging the need for further research establishing the impact of organizational characteristics and job stress on nurse well-being.

Rural-urban differences in social and emotional protective factors and their association with child health and flourishing.

BACKGROUND: Children in rural communities experience higher mortality rates and less access to health care services than those in urban communities. Protective factors like social support also vary by geography, but their contribution to differences in child health is understudied. Understanding geographic variation in protective health factors could provide insight into their impact on health and guide future intervention strategies. RESEARCH OBJECTIVE: To examine protective factors' association with child flourishing and child health status in rural and urban communities. METHODS: Publicly available data from the National Survey of Children's Health, 2018-2021, with nonmissing geographic data (N = 150,493) were used to assess the relationship between protective factors and child flourishing and health by rurality. Multivariate survey-weighted probit models examined these relationships, adjusting for child and caregiver characteristics. FINDINGS: More than a third of children were not flourishing, according to parental report. An estimated 62% of rural children were flourishing compared to 66% of urban children (P<0.001). Urban caregivers also were more likely to report better adult mental and physical health status. Nevertheless, rural children were reported to receive more social support than urban children, while their caregivers reported more emotional support and living in supportive and safe neighborhoods (P<0.001). Rural caregivers reported more support from places of worship and less from counselors/other mental health care providers than urban caregivers. CONCLUSIONS: Despite higher reported caregiver emotional support and child social support, fewer rural children are flourishing. Health systems and community organizations able to leverage these existing social and emotional protective factors in rural communities could help close this gap.

Modeling wellbeing for U.S. correctional nurses: A cross sectional survey.

BACKGROUND: Nurses work in stressful environments, and this stress has negative consequences on health. Correctional nurses experience unique job stress in their roles. However, there has been limited research exploring how the correctional environment impacts nurse health and wellbeing. OBJECTIVE: This study aimed to evaluate the relationship between the variables of organizational characteristics (i.e., job demands, job control, manager support, peer support, workplace relationships), job stress, and wellbeing levels in a sample of U.S. correctional nurses, while exploring socio-demographic covariates. METHODS: Using a convenience sampling method, 270 U.S. correctional nurses completed a cross-sectional online survey. Informed by the Job Demands-Resources Theory, a conceptual model was created and tested in this sample. Analysis involved multiple linear regression and structural equation modeling. RESULTS: The model significantly fit the data (CI: 0.71-0.83, CFI = 0.51, SRMR: 0.37, and RMSEA = 0.08) revealing the direct relationship between job stress, job demands, job control, and workplace relationships and wellbeing. This study also provided evidence that job stress mediates the relationship of job control and job demands with wellbeing. CONCLUSION: Results underscore the opportunity for correctional organizations to consider targeting job demands, job control, workplace relationships, and job stress in future interventions to improve the correctional nursing work environment and support correctional nurse wellbeing. TWEETABLE ABSTRACT: A recent study found evidence for a relationship between organizational characteristics & job stress and U.S. correctional nurse wellbeing.

Assessment of US Federal Funding of Incarceration-Related Research, 1985 to 2022.

Importance: The US leads the world in the raw number of incarcerated persons as well as the rate of incarceration, with detrimental effects on individual-, family-, community-, and population-level health; as such, federal research has a critical role in documenting and addressing the health-related impacts of the US criminal legal system. How often incarceration-related research is funded at the National Institutes of Health (NIH), National Science Foundation (NSF), and US Department of Justice (DOJ) levels has a direct association with the public attention given to mass incarceration as well as the efficacy of strategies to mitigate negative effects and poor health related to incarceration. Objective: To understand how many incarceration-related projects have been funded at the NIH, NSF, and DOJ. Design, Setting, and Participants: This cross-sectional study used public historical project archives to search for relevant incarceration-related keywords (eg, incarceration, prison, parole) since January 1, 1985 (NIH and NSF), and since January 1, 2008 (DOJ). Quotations and Boolean operator logic were used. All searches and counts were conducted and double verified by 2 coauthors between December 12 and 17, 2022. Main Outcomes and Measures: Number and prevalence of funded projects related to incarceration and prison keywords. Results: The term incarceration resulted in 3540 of 3 234 159 total project awards (0.11%) and prisoner-related terms resulted in 11 455 total project awards (0.35%) across the 3 federal agencies since 1985. Nearly a tenth of all projects funded at NIH since 1985 related to education (256 584 [9.62%]) compared with only 3373 projects (0.13%) that related to criminal legal or criminal justice or correctional system and 18 projects (0.0007%) that related to incarcerated parents. Only 1857 (0.07%) of all NIH-funded projects have been funded related to racism since 1985. Conclusions and Relevance: This cross-sectional study found that a very low number of projects about incarceration have historically been funded at the NIH, DOJ, and NSF. These findings reflect a dearth of federally funded studies investigating the effects of mass incarceration or intervention strategies to mitigate adverse effects. Given the consequences of the criminal legal system, it is undoubtedly time for researchers, and our nation, to invest more resources into studying whether this system should be maintained, the intergenerational effects of mass incarceration, and strategies to best mitigate its impact on public health.

A time to 'make amends and bring pieces together': A phenomenological study of family experiences and considerations when a parent returns home from incarceration.

Nearly 1 in every 14 youth have had a parent incarcerated at some point. In any given year, over 9 million adults from jail and 700,000 adults from prison return to their families and communities. However, few studies have explored the family experiences during re-entry or have provided suggestions on how to best support children during this time. The goal of this qualitative study was to describe family experiences and provide their considerations on how to better support children during the period of parent's re-entry. Qualitative data was gathered from 26 participants using semi-structured, in-depth phone interviews from March to August 2020. The sample included 10 youth (12-18 years) who have had a parent incarcerated, 10 custodial caregivers of youth who have had incarcerated parents, and 6 parents released from incarceration. Qualitative content analysis and open-coding procedures were used to determine themes across raters. Experiences centred on the challenges of assimilating to new family roles upon the parent returning home and to the community. Families also shared the difficulty in navigating parole restrictions and managing fears surrounding the recidivism of the parent. Three primary themes were deduced as relationship-building obstacles, unaligned family expectations and parole-related family burdens. Results from this study revealed suggestions that may address youth, caregiver and returning parent's needs during the re-entry phase. Family counselling and peer support groups may improve the process of mending or forming relationships. Access to re-entry programs, mental health services, and parental education may better align family expectations. Transparent wrap-around social services and decreasing legal challenges may reduce the parole-related burdens on the family.

Locating Youth Exposed to Parental Justice Involvement in the Electronic Health Record: Development of a Natural Language Processing Model.

BACKGROUND: Parental justice involvement (eg, prison, jail, parole, or probation) is an unfortunately common and disruptive household adversity for many US youths, disproportionately affecting families of color and rural families. Data on this adversity has not been captured routinely in pediatric health care settings, and if it is, it is not discrete nor able to be readily analyzed for purposes of research. OBJECTIVE: In this study, we outline our process training a state-of-the-art natural language processing model using unstructured clinician notes of one large pediatric health system to identify patients who have experienced a justice-involved parent. METHODS: Using the electronic health record database of a large Midwestern pediatric hospital-based institution from 2011-2019, we located clinician notes (of any type and written by any type of provider) that were likely to contain such evidence of family justice involvement via a justice-keyword search (eg, prison and jail). To train and validate the model, we used a labeled data set of 7500 clinician notes identifying whether the patient was ever exposed to parental justice involvement. We calculated the precision and recall of the model and compared those rates to the keyword search. RESULTS: The development of the machine learning model increased the precision (positive predictive value) of locating children affected by parental justice involvement in the electronic health record from 61% (a simple keyword search) to 92%. CONCLUSIONS: The use of machine learning may be a feasible approach to addressing the gaps in our understanding of the health and health services of underrepresented youth who encounter childhood adversities not routinely captured-particularly for children of justice-involved parents.

Implementing an EMR-based Health-related Social Needs Screen in a Pediatric Hospital System.

INTRODUCTION: There is growing recognition of the need for effective screening methods and delivering interventions to address health-related social needs (HRSN) in hospital systems, but few studies exist on implementing such a wide-scale undertaking. This article describes the implementation and preliminary findings of a phased roll-out of an institution-wide HRSN screening. METHODS: We describe the HRSN implementation and data tracking procedures. RESULTS: During the first 13 months of the roll-out, 62,315 patient encounters from multiple clinics were eligible for screening, and 52,331 (84.0%) completed the screening. Twelve percent of patients had at least one HRSN need, and 3.5% of those had an urgent need and thus received a social work consult. CONCLUSION: Implementation of the first phase of an institution-wide HRSN screen resulted in high screening and follow-up rates among those with urgent needs, demonstrating feasibility across different clinic settings.

Unsafe and Unsettling: An Integrative Review on Correctional Nursing Work Environments and Stressors.

BACKGROUND: Stress remains a major occupational hazard among nurses. As the United States maintains the largest correctional system in the world, little is understood regarding the occupational stress of correctional nurses and how that stress impacts their overall health and well-being. QUESTION ADDRESSED: What are the occupational/environmental stressors and professional burnout factors experienced by correctional nurses? REVIEW METHODS: Guided by Whittemore and Knafl's methodology, an integrative review was conducted using online databases of Scopus, CINAHL, NIOSH-tic, and PubMed in July of 2021 for peer-reviewed articles ever published internationally. Key concepts of "correctional health nursing" and "occupational stress" were used in our search. REVIEW RESULTS: One hundred fifty-two articles were identified. Eleven articles met eligibility criteria and were included in this review. Three key themes emerged: conflict , fear , and demands . DISCUSSION: Conflict arose from ethical and relational issues among coworkers, management, and incarcerated patients. Fear stemmed from physical safety concerns and workplace violence, whereas demands involved high workloads paired with a lack of organizational support. Findings revealed evidence on the unique occupational environment of correctional nursing professionals that impacted levels of stress and burnout across all types of correctional settings (e.g., jails and prisons). IMPLICATIONS: Better assessment and consistent evaluation of the health and well-being of correctional nurses and their correctional nursing environments are needed. Additional resources to reduce stress, along with ensuring policies that mitigate ethical challenges, workplace violence, and bullying, may promote professional and safe workspaces.

Mortality and Cause of Death Among Youths Previously Incarcerated in the Juvenile Legal System.

Importance: More than 50 000 youths are incarcerated in the United States on any given day, and youth incarceration has been linked to lasting adverse outcomes, including early mortality. Improving our understanding of the factors associated with early mortality among incarcerated youths can inform appropriate prevention strategies. Objective: To examine mortality rates and causes of death among youths previously incarcerated in the juvenile legal system. Design, Setting, and Participants: This retrospective longitudinal population-based cohort study compared mortality rates between youths aged 11 to 21 years incarcerated from 2010 to 2017 with same-aged nonincarcerated Medicaid-enrolled youths in the state of Ohio. Data from January 2017 to December 2019 were collected from juvenile incarceration, Medicaid, and death certificate information in Ohio. Exposure: Incarceration in the state of Ohio's juvenile legal system. Main Outcomes and Measures: Number, characteristics, and causes of deaths. Poisson regression incidence rate ratios (IRRs) compared mortality rates between previously incarcerated and Medicaid-enrolled youths. Results: Among 3645 incarcerated youths, 3398 (93.2%) were male, 2155 (59.1%) Black, 1307 (35.9%) White, and 183 (5.0%) other race and ethnicity. Overall, 113 youths (3.1%) died during the study period. Homicide was the leading cause of death in formerly incarcerated youths (homicide: 63 [55.8%]; legal intervention [ie, death due to injuries inflicted by law enforcement]: 3 [2.7%]). All-cause mortality rates were significantly higher among previously incarcerated youths than Medicaid-enrolled youths (adjusted IRR [aIRR], 5.91; 95% CI, 4.90-7.13) in every demographic subgroup. Compared with Medicaid-enrolled youths, mortality rates for previously incarcerated youths were highest for homicide (aIRR, 11.02; 95% CI, 8.54-14.22), overdose (aIRR, 4.32; 95% CI, 2.59-7.20), and suicide (aIRR, 4.30; 95% CI, 2.22-8.33). Formerly incarcerated Black youths had a significantly higher risk of homicide (aIRR, 14.24; 95% CI, 4.45-45.63) but a lower risk of suicide (aIRR, 0.18; 95% CI, 0.04-0.89) and overdose (aIRR, 0.31; 95% CI, 0.10-0.99) than White youths who were incarcerated. Previously incarcerated youths aged 15 to 21 years were significantly more likely to die than youths aged 22 to 29 years, irrespective of cause of death (aIRR for youths aged 22-29 years, 0.09; 95% CI, 0.06-0.14). Conclusions and Relevance: In this study, youths with a history of incarceration were significantly more likely to experience early mortality compared with nonincarcerated Medicaid-enrolled youths. Delinquency and violence prevention strategies that incorporate a culturally informed approach and consider sex and developmental level are critical.

Unjust: the health records of youth with personal/family justice involvement in a large pediatric health system.

BACKGROUND: Mass incarceration has had an undeniable toll on childhood poverty and inequality, however, little is known about the consequences on pediatric health. The purpose of this study was to identify and describe the health of pediatric patients with probable personal or family history involvement with the correctional system. METHODS: A descriptive study was conducted using electronic health record data of 2.3 million youth (ages 0-21 years) who received care in a large Midwestern hospital-based institution from February 2006-2020. We employed a correctional-related keyword search (e.g. jail, prison, probation, parole) to locate youth with probable personal or family history involvement. Health characteristics were measured as clinician diagnostic codes. RESULTS: Two percent of the total pediatric population had a correctional keyword in the medical chart (N = 51,855). This 2% made up 66% of all patients with cannabis-related diagnoses, 52% of all patients with trauma-related diagnoses, 48% of all stress-related diagnoses, 38% of all patients with psychotic disorder diagnoses, and 33% of all suicidal-related disorders within this institution's electronic health record database - among other highly concerning findings. CONCLUSIONS: We captured an alarming health profile that warrants further investigation and validation methods to better address the gaps in our clinical understanding of youth with personal or family history involvement with the correctional system. We can do better in identifying, and supporting families affected by the correctional system.

Social Determinants of Health Needs and Pediatric Health Care Use.

OBJECTIVE: To examine the associations between family-reported social needs in primary care settings and pediatric health care use. STUDY DESIGN: Data were obtained for a sample of 56 253 children and youths (age 0-21 years) who received primary care at a large hospital-based pediatric institution between June 2018 and October 2019 to estimate a propensity score for the probability of being seen in a primary care clinic. Inverse probability weighted regression specifications were used to examine the associations between reported social needs and health care use. Families were asked about 4 social needs: housing, utilities, transportation, and food. Outcomes included the number of Emergency Department (ED), inpatient, social work, and well-child visits (only for those aged 0-2 years) in the 6 months before and after needs screening. RESULTS: Overall, 12.0% of the families reported a general social need, with 28% of those needs identified as urgent. Food and transportation needs were most common. Patients with needs were more likely to have an ED or inpatient visit at 6 months prescreening and 6 months postscreening compared with those without needs. Among children aged <2 years, those with a social need were less likely to have completed a well-child visit at 6 months postscreening compared with those without a need. CONCLUSIONS: Social needs are linked to less preventive care use and greater reliance on emergency care services. Understanding how to better assist families in need requires greater attention.

Racial and Economic Adversity Differences in Stress Markers and Immune Function Among Urban Adolescents.

BACKGROUND: Exposure to racism and associated adversities, such as poverty, is hypothesized to contribute to racial inequities in health via stress and immune pathways. Furthermore, the effects of adversity may be more salient during sensitive developmental periods. Our study examined racial differences in stress and immune biomarkers during adolescence and the effects of exposure to economic adversity at distinct developmental time periods and cumulatively in accounting for potential racial differences. METHODS: Secondary analysis of the Adolescent Health and Development in Context study was conducted. Data were derived from self-administered surveys; interviews; smartphone-based, geographic-explicit ecological momentary assessment; stress biomarkers (evening salivary cortisol over six nights and hair cortisol); and immune biomarkers (salivary shedding of Epstein-Barr virus [EBV] DNA among EBV-positive adolescents). Current socioeconomic status measures included annual household income and caregiver education. Caregivers also reported experiences of bankruptcy, difficulty paying bills, receipt of food stamps/Supplemental Nutrition Assistance Program/electronic benefit transfer, and job loss when the child was of ages birth-5 years, 6-10 years, and 11 years or older. An affirmative response to any item was defined as exposure to economic adversity for that developmental time period (yes/no). A cumulative economic adversity measure was calculated as the sum of exposures across developmental periods (0 = never exposed to 3 = exposed across all time periods). Descriptive and multivariable regression analyses were conducted, accounting for covariates. RESULTS: Black/African American adolescents had higher salivary cortisol concentration, higher hair cortisol concentration, and an increased odd of salivary shedding of EBV DNA compared to White adolescents. Racial differences were not attenuated by the current socioeconomic status or economic adversity (developmental period or cumulatively). DISCUSSION: Our study provides evidence that stress and immune biomarkers differ by race as early as adolescence and may be one pathway through which racism and associated adversities contribute to racial health inequities. Further research on the contribution of multiple adversities beyond poverty to racial inequities in physiological stress and health is critical for informing effective prevention and intervention efforts.

Protective Factors to Promote Health and Flourishing in Black Youth Exposed to Parental Incarceration.

BACKGROUND: Mass incarceration of Black fathers and mothers in the United States has had an undeniably negative effect on the health and well-being of their children, families, and communities. Nearly 1 in every 9 Black youth in the United States has had an incarcerated parent compared to 1 in every 17 White youth. To mitigate the consequences of such historical and structural racism, family and community protective factors that promote health and flourishing in Black youth need exploration. OBJECTIVES: The aim of this study was to understand the associations of protective family, school, and neighborhood factors of overall health and flourishing in Black youth ever exposed to parental incarceration. METHODS: Using the 2016-2019 National Survey of Children's Health, secondary data analyses were conducted of Black youth ages 6-17 years exposed to parental incarceration (n = 839). Multivariable logistic regression models predicted the associations among protective family and community factors and two child outcomes of interest: overall good health status and flourishing. Overall good health status was measured dichotomously comparing children in "good, very good, or excellent" health to children in "fair or poor" health. Flourishing was measured as a count score using three survey questions designed to assess the child's curiosity and discovery about learning, resilience, and self-regulation. Protective factors of interest included family resilience and connectedness, neighborhood support and safety, and school safety. Other child and caregiver demographics and health characteristics were also included as covariates. RESULTS: Across all models, higher levels of family connectedness were associated with greater odds of having overall good health and flourishing in Black youth exposed to parental incarceration after adjusting for covariates and neighborhood and school protective characteristics. No significant associations were found between neighborhood or school protective factors and either outcome. DISCUSSION: To achieve health equity and maximize opportunities for all youth, we must remove the obstacles and consequences of mass incarceration. Improving the health and flourishing of Black youth who have had incarcerated parents requires greater investment in structural supports to bolster family connectedness and better evidence on how to support families affected by mass incarceration and structural racism.

Home quality and child health: Analysis of the Survey of Income and Program Participation.

Housing is considered a core social determinant of health (SDH) through mechanisms such as the quality, affordability, and location of the home. However, few nationally representative studies examine these mechanisms simultaneously with child health and healthcare use. To determine the associations between home quality and child health, a series of logistic regression analyses was employed using the Survey of Income and Program Participation (SIPP). The 2014 SIPP sample is a multistage, stratified sample of 53,070 housing units from 820 sample areas designed to represent the civilian, noninstitutionalized population of the United States. The analytic sample included 12,964 children aged 2-14 years. Poor housing quality was defined as whether the home had holes in the floor, cracks in the ceiling, plumbing issues, and/or pest problems. Outcome measures included child health status, number of medical visits, and hospitalizations. The results indicated that poor housing quality was associated with poorer health (OR = 1.16, 95% CI = 1.05-1.27) and a greater number of medical visits (OR = 1.11, 95% CI = 1.03, 1.20) after controlling for number of persons per household, neighborhood safety, nonmetropolitan status, parent's ability to afford housing-related expenses, and other SDH. Future work investigating and intervening on the SDH in children could specifically include the quality and contexts in which homes are situated.

Disparities in HIV Education and Testing Between Metropolitan and Nonmetropolitan Adolescents and Young Adults in the U.S.

PURPOSE: To examine receipt of formal sexual health education on Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency Syndrome (AIDS) and receipt of HIV testing in adolescents and young adults (AYAs) residing in nonmetropolitan versus metropolitan areas. METHODS: A secondary data analysis of the 2015-2017 National Survey of Family Growth of AYAs ages 15-24 years (N = 3,114). Logistic regression models predicted associations between nonmetropolitan versus metropolitan status and outcomes of interest (formal sexual health education on HIV/AIDS and HIV testing). RESULTS: Most AYAs (85.3%) reported receiving formal sexual health education on HIV/AIDS, while less than half (46.9%) indicated receiving HIV testing. Residing in a nonmetropolitan area was associated with a lower odds of reporting formal sexual health education on HIV/AIDS (OR = .47, CI = [.29, .77]) but not with HIV testing (OR = 1.33, CI = [.89, 2.01]). CONCLUSIONS: AYAs living in nonmetropolitan areas are less likely to receive formal sexual health education on HIV/AIDS.

'Home is where the health is': Housing quality and adult health outcomes in the Survey of Income and Program Participation.

Nearly a quarter of the homes in the United States were considered unhealthy or inadequate, but whether these housing characteristics have direct effects on health or whether they are driven by other contextual housing and neighborhood characteristics remains unclear. The purpose of this study was to quantify the independent associations between poor housing quality and adult health outcomes, adjusting for socioeconomic factors (e.g. income to poverty ratio, food insecurity) and other contextual housing characteristics (e.g. rental status, number of people per household, unsafe neighborhood). Using in-person household interview data from wave 1 of the 2014 Survey of Income and Program Participation (SIPP), a secondary analysis was performed using a series of logistic regression models. The 2014 SIPP sample is a multistage stratified sample of 53,070 housing units designed to represent the civilian, noninstitutionalized population of the United States (N = 55,281 adults ages 18 and older). Our results indicate that each additional poor housing characteristic was associated with poorer health status (OR: 1.17, CI [1.11, 1.23]), higher medical utilization (OR: 1.11 CI: [1.06, 1.16]), and a higher likelihood of hospitalization (OR: 1.07, CI [1.02, 1.12]). Non-housing-related government assistance, food security, and safe neighborhoods only partially explained associations between housing quality and health outcomes. Evaluating current local, state, and federal policy on housing quality standards may help determine if these standards decrease the number of Americans residing in inadequate homes or result in improvements in health and reductions in healthcare costs. Simply put, the home is where [we suggest] the health is.