Differences in Perceptions of Gun-Related Safety by Race and Gun Ownership in the United States.

Motivated by disparities in gun violence, sharp increases in gun ownership, and a changing gun policy landscape, we conducted a nationally representative survey of U.S. adults (n=2,778) in 2021 to compare safety-related views of white, Black, and Hispanic gun owners and non-owners. Black gun owners were most aware of homicide disparities and least expecting of personal safety improvements from gun ownership or more permissive gun carrying. Non-owner views differed. Health equity and policy opportunities are discussed.

Association Between Dialysis Facility Ownership and Access to the Waiting List and Transplant in Pediatric Patients With End-stage Kidney Disease in the US.

Importance: Care of adults at profit vs nonprofit dialysis facilities has been associated with lower access to transplant. Whether profit status is associated with transplant access for pediatric patients with end-stage kidney disease is unknown. Objective: To determine whether profit status of dialysis facilities is associated with placement on the kidney transplant waiting list or receipt of kidney transplant among pediatric patients receiving maintenance dialysis. Design, Setting, and Participants: This retrospective cohort study reviewed the US Renal Data System records of 13 333 patients younger than 18 years who started dialysis from 2000 through 2018 in US dialysis facilities (followed up through June 30, 2019). Exposures: Time-updated profit status of dialysis facilities. Main Outcomes and Measures: Cox models, adjusted for clinical and demographic factors, were used to examine time to wait-listing and receipt of kidney transplant by profit status of dialysis facilities. Results: A total of 13 333 pediatric patients who started receiving maintenance dialysis were included in the analysis (median age, 12 years [IQR, 3-15 years]; 6054 females [45%]; 3321 non-Hispanic Black patients [25%]; 3695 Hispanic patients [28%]). During a median follow-up of 0.87 years (IQR, 0.39-1.85 years), the incidence of wait-listing was lower at profit facilities than at nonprofit facilities, 36.2 vs 49.8 per 100 person-years, respectively (absolute risk difference, -13.6 (95% CI, -15.4 to -11.8 per 100 person-years; adjusted hazard ratio [HR] for wait-listing at profit vs nonprofit facilities, 0.79; 95% CI, 0.75-0.83). During a median follow-up of 1.52 years (IQR, 0.75-2.87 years), the incidence of kidney transplant (living or deceased donor) was also lower at profit facilities than at nonprofit facilities, 21.5 vs 31.3 per 100 person-years, respectively; absolute risk difference, -9.8 (95% CI, -10.9 to -8.6 per 100 person-years) adjusted HR for kidney transplant at profit vs nonprofit facilities, 0.71 (95% CI, 0.67-0.74). Conclusions and Relevance: Among a cohort of pediatric patients receiving dialysis in the US from 2000 through 2018, profit facility status was associated with longer time to wait-listing and longer time to kidney transplant.

Moving motives: How past and present strategy influence the market.

We investigate the market's reactions to serial acquirers that switch strategy. We collect data on 204 serial acquirers in four high tech industries, and use March's explore-exploit framework, to classify these firms' 1,415 acquisitions. We then distinguish, for example, exploration-based acquisitions, conducted after a series of exploitation-based acquisitions. Our results suggest that the market takes a portfolio perspective when reacting to an acquisition. In support of the ambidexterity literature, we show that the market responds positively to a switch from one type of strategy to another. Zooming in on the direction of the shift, we find that the market responds more positively to a switch towards exploration after exploitation, compared with the alternative. In so doing, we contribute to the literature on acquisition motives, by showing that prior announcements matter in explaining market reactions, and we contribute to the literature on ambidexterity, by showing that the market favours firms that oscillate between exploration and exploitation.

Sociodemographic Inequalities in Health Insurance Ownership among Women in Selected Francophone Countries in Sub-Saharan Africa.

In sub-Saharan Africa, improving equitable access to healthcare remains a major challenge for public health systems. Health policymakers encourage the adoption of health insurance schemes to promote universal healthcare. Nonetheless, progress towards this goal remains suboptimal due to inequalities health insurance ownership especially among women. In this study, we aimed to explore the sociodemographic factors contributing to health insurance ownership among women in selected francophone countries in sub-Saharan Africa. Methods. This study is based on cross-sectional data obtained from Demographic and Health Surveys on five countries including Benin (n = 13,407), Madagascar (n = 12,448), Mali (n = 10,326), Niger (n = 12,558), and Togo (n = 6,979). The explanatory factors included participant age, marital status, type of residency, education, household wealth quantile, employment stats, and access to electronic media. Associations between health insurance ownership and the explanatory factors were analyzed using multivariate regression analysis, and effect sizes were reported in terms in average marginal effects (AMEs). Results. The highest percentage of insurance ownership was observed for Togo (3.31%), followed by Madagascar (2.23%) and Mali (2.2%). After stratifying by place of residency, the percentages were found to be significantly lower in the rural areas for all countries, with the most noticeable difference observed for Niger (7.73% in urban vs. 0.54% in rural women). Higher levels of education and wealth quantile were positively associated with insurance ownership in all five countries. In the pooled sample, women in the higher education category had higher likelihood of having an insurance: Benin (AME = 1.18; 95% CI = 1.10, 1.27), Madagascar (AME = 1.10; 95% CI = 1.05, 1.15), Mali (AME = 1.14; 95% CI = 1.04, 1.24), Niger (AME = 1.13; 95% CI = 1.07, 1.21), and Togo (AME = 1.17; 95% CI = 1.09, 1.26). Regarding wealth status, women from the households in the highest wealth quantile had 4% higher likelihood of having insurance in Benin and Mali and 6% higher likelihood in Madagascar and Togo. Conclusions. Percentage of women who reported having health insurance was noticeably low in all five countries. As indicated by the multivariate analyses, the actual situation is likely to be even worse due to significant socioeconomic inequalities in the distribution of women having an insurance plan. Increasing women's access to healthcare is an urgent priority for population health promotion in these countries, and therefore, addressing the entrenched sociodemographic disparities should be given urgent policy attention in an effort to strengthen universal healthcare-related goals.

Determinants of hospital inefficiency. The case of Polish county hospitals.

Local hospitals play a crucial role in the healthcare system. In this study, the efficiency of Polish county hospitals is assessed by considering characteristics of hospitals that may determine their performance, such as the form of ownership, size, and staff structure. The main goal was to analyze the effect of three possible determinants on efficiency: ownership, the presence of an Emergency Department, and the presence of an Intensive Care Unit. The study covered different subgroups of hospitals and different approaches of inputs and outputs. An input-oriented radial super-efficiency DEA model under variable returns to scale was used for the efficiency analysis, and then differences between distributions of efficient and inefficient units were evaluated using a Chi-square test. A Kruskal-Wallis test was also used to analyze differences in mean efficiency. Inefficiency scores were regressed with hospital characteristics to test for other determinants. These results did not confirm differences in efficiency concerning ownership. However, in some subgroups of hospitals, running an Emergency Department or an Intensive Care Unit had a significant effect. Tobit regression results provided additional insight into how an Emergency Department or Intensive Care Unit can affect efficiency. Both cases had an effect of increasing inefficiency, and the data suggested that the department/unit size plays an important role.

Assessment of losses to the local population due to restrictions on their ownership rights to land and property assets: The case of the Tunkinsky National Park, Russia.

The impact of protected areas on local communities is the subject of intense discussions as part of the implementation of the global ecosystem protection agenda. Conflicts between the interests of environmental protection and the needs of socio-economic development become particularly acute when large areas of land are taken out of economic circulation as a result of organizing protected areas. In this case, there is an urgent need for detailed and reliable information about the social impacts of such land withdrawal on the well-being of the local population. An analysis of the methodological approaches widely presented in the literature, used to assess the social impact of protected areas, testifies to the insufficiency of completed and practically applicable methodological guidelines for the areas with significant restrictions for people who form part of the protected landscape. In this study, we understand the cost estimate of the social impact of national parks on the local population as a quantitative calculation of the losses due to restrictions on their ownership rights to land and property assets. The methodological approach consists in considering the category of losses as a sum total of the actual damage and lost profits. The assessment algorithm includes three stages: systematization of social impacts on citizens, development of indicators and data collection, and calculation of actual damage to the population and lost profits. The assessment is performed using the example of the Tunkinsky National Park located in the Tunkinsky municipal district of the Republic of Buryatia, a region of the Russian Federation, where there are 14 rural settlements with a population of more than 20,000 people. The results of the calculations show that the losses of the rural population due to legal restrictions on the registration of land dealings amount to 170.4 million USD. Taking into account the potential amount of administrative fines and the value of property subject to demolition, the losses amount to 239.2 million USD. It is more than an order of magnitude greater than the amount of own revenues of the Tunkinsky municipal district in 2011-2019. The results obtained demonstrate the real picture of the impact of restrictions on the rights of local people to land within the boundaries of national parks and are useful for developing measures to account for their interests and include protected areas in the socio-economic development of regions. The methodological approach developed by the authors can be used in other national parks, where it is necessary to optimize the policy of improving land use for local residents.

Women's empowerment and elective cesarean section for a single pregnancy: a population-based and multivariate study in Vietnam.

BACKGROUND: Women's empowerment, and maternal and neonatal health are important targets of the Sustainable Development Goals. Our objective is to examine the relationship between women's empowerment and elective cesarean section (ECS), focusing on Vietnam, a country where the use of CS has increased rapidly in recent decades, which raises public health concerns. METHODS: We hypothesized that in the context of the developing biomedicalization of childbirth, women's empowerment increases the use of ECS due to a woman's enhanced ability to decide her mode of delivery. By using microdata from the 2013-2014 Multiple Indicator Clusters Survey, we conducted a multivariate analysis of the correlates of ECS. We studied a representative sample of 1343 institutional single birth deliveries. Due to higher ECS rates among multiparous (18.4%) than primiparous women (10.1%) and the potential interaction between parity and other correlates, we used separate models for primiparous and multiparous women. RESULTS: Among the indicators of women's external resources, which include a higher level of education, having worked during the previous 12 months, and having one's own mobile phone, only education differed between primiparous and multiparous women, with a higher level among primiparous women. Among primiparous women, no resource indicator was significantly linked to ECS. However, considering women's empowerment facilitated the identification of the negative impact of having had fewer than 3 antenatal care visits on the use of ECS. Among multiparous women, disapproval of intimate partner violence (IPV) was associated with a doubled likelihood of undergoing ECS (odds ratio = 2.415), and living in an urban area also doubled the likelihood of ECS. The positive association with living in the richest household quintile was no longer significant when attitude towards IPV was included in the model. In both groups, being aged 35 or older increased the likelihood of undergoing ECS, and this impact was stronger in primiparous women. CONCLUSIONS: These results underline the multidimensionality of empowerment, its links to other correlates and its contribution to clarifying the influence of these correlates, particularly for distinguishing between medical and sociocultural determinants. The results advocate for the integration of women's empowerment into policies aimed at reducing ECS rates.

Health system integration with physician specialties varies across markets and system types.

OBJECTIVE: To examine system integration with physician specialties across markets and the association between local system characteristics and their patterns of physician integration. DATA SOURCES: Data come from the AHRQ Compendium of US Health Systems and IQVIA OneKey database. STUDY DESIGN: We examined the change from 2016 to 2018 in the percentage of physicians in systems, focusing on primary care and the 10 most numerous nonhospital-based specialties across the 382 metropolitan statistical areas (MSAs) in the US. We also categorized systems by ownership, mission, and payment program participation and examined how those characteristics were related to their patterns of physician integration in 2018. DATA COLLECTION/EXTRACTION METHODS: We examined local healthcare markets (MSAs) and the hospitals and physicians that are part of integrated systems that operate in these markets. We characterized markets by hospital and insurer concentration and systems by type of ownership and by whether they have an academic medical center (AMC), a 340B hospital, or accountable care organization. PRINCIPAL FINDINGS: Between 2016 and 2018, system participation increased for primary care and the 10 other physician specialties we examined. In 2018, physicians in specialties associated with lucrative hospital services were the most commonly integrated with systems including hematology-oncology (57%), cardiology (55%), and general surgery (44%); however, rates varied substantially across markets. For most specialties, high market concentration by insurers and hospital-systems was associated with lower rates of physician integration. In addition, systems with AMCs and publicly owned systems more commonly affiliated with specialties unrelated to the physicians' potential contribution to hospital revenue, and investor-owned systems demonstrated more limited physician integration. CONCLUSIONS: Variation in physician integration across markets and system characteristics reflects physician and systems' motivations. These integration strategies are associated with the financial interests of systems and other strategic goals (eg, medical education, and serving low-income populations).

Evolution of the home health care market: The expansion and quality performance of multi-agency chains.

OBJECTIVE: To examine the growth and evolution of the home health agency (HHA) market and to compare quality performance across HHA ownership categories. DATA SOURCE: Agency characteristics were extracted from Medicare cost reports and Provider of Services file. Quality of care and patient characteristics were extracted from Quality of Patient Care Star Ratings and HHA Public Use File. STUDY DESIGN: Agency- and state-level analyses were conducted to describe HHA market trends. Patient characteristics and quality measures were compared across ownership categories of interest. DATA COLLECTION/EXTRACTION METHODS: All Medicare-certified HHAs in operation, 2005-2018. PRINCIPAL FINDINGS: Over the study period, the HHA sector grew substantially, increasing from 7899 to 10 818 agencies, and chain-owned HHAs doubled in number from 903 (11.4% of all agencies) to 1841 (17.0%). In 2018, across agency types, for-profit nonchain agencies were the largest category both in the number of agencies (67.8%) and the number of Medicare enrollees served (40.7%). Additionally, for-profit nonchain agencies grew most in total number, from 4293 (54.3%) to 7337 (67.8%), while for-profit chain agencies grew most in the number of Medicare enrollees served, from 439 998 (12.9%) to 1 082 385 (28.3%). Regarding patient composition, for-profit nonchain agencies served the highest proportion of dual eligible beneficiaries (42.2%) and African-Americans (27.9%) among all agency types. Regarding quality performance, a higher star rating is significantly (P < .01) associated with chain agency status. Moreover, chain HHAs performed better on self-reported process measures, and risk-adjusted self-reported outcome measures; however, they performed worse on risk-adjusted claims-based outcome measures. These results were similar across for-profit and nonprofit chain agencies. CONCLUSION: Chains play a growing role in the home health sector. Substantial differences in geographic distribution, patient composition, and quality performance were observed between chain- and nonchain HHAs. Examining the growth and performance of multi-agency chains can help inform quality reporting and monitoring, assess payment adequacy, and facilitate greater transparency and accountability within the HHA marketplace.

Using mobile phone data helps estimate community-level food insecurity: Findings from a multi-year panel study in Nepal.

Household food insecurity remains a major policy challenge in low-income countries. Identifying accurate measures that are relatively easy to collect has long been an important priority for governments seeking to better understand and fund solutions for communities in remote settings. Conventional approaches based on surveys can be time-consuming and costly, while data derived from satellite imagery represent proxies focused on biological processes (such as rainfall and crop growth) lack granularity in terms of human behaviors. As a result, there has recently been interest in tapping into the large digital footprint offered by mobile phone usage. This paper explores empirical relationships between data relating to mobile phones (ownership and spending on service use), and food insecurity in rural Nepal. The work explores models for estimating community-level food insecurity through aggregated mobile phone variables in a proof-of-concept approach. In addition, sensitivity analyses were performed by considering the performance of the models under different settings. The results suggest that mobile phone variables on ownership and expenditure can be used to estimate food insecurity with reasonable accuracy. This suggests that such an approach can be used in and beyond Nepal as an option for collecting timely food insecurity information, either alone or in combination with conventional approaches.

Mobile phone ownership and willingness to receive mHealth services among patients with diabetes mellitus in South-West, Nigeria.

INTRODUCTION: mobile phone technology is increasingly used to overcome traditional barriers to limiting access to diabetes care. This study evaluated mobile phone ownership and willingness to receive and pay for mobile phone-based diabetic services among people with diabetes in South-West, Nigeria. METHODS: two hundred and fifty nine patients with diabetes were consecutively recruited from three tertiary health institutions in South-West, Nigeria. Questionnaire was used to evaluate mobile phone ownership, willingness to receive and pay for mobile phone-based diabetic health care services via voice call and text messaging. RESULTS: 97.3% owned a mobile phone, with 38.9% and 61.1% owning smartphone and basic phone respectively. Males were significantly more willing to receive mobile-phone-based health services than females (81.1% vs 68.1%, p=0.025), likewise married compared to unmarried [77.4% vs 57.1%, p=0.036]. Voice calls (41.3%) and text messages (32.4%), were the most preferred modes of receiving diabetes-related health education with social media (3.1%) and email (1.5%) least. Almost three-quarter of participants (72.6%) who owned mobile phone, were willing to receive mobile phone-based diabetes health services. The educational status of patients (adjusted OR [AOR]: 1.7{95% CI: 1.6 to 2.1}), glucometers possession (AOR: 2.0 [95% CI: 1.9 to 2.1) and type of mobile phone owned (AOR: 2.9 [95% CI: 2.8 to 5.0]) were significantly associated with the willingness to receive mobile phone-based diabetic services. CONCLUSION: the majority of study participants owned mobile phones and would be willing to receive and pay for diabetes-related healthcare delivery services provided the cost is minimal and affordable.

The availability of LGBT-specific mental health and substance abuse treatment in the United States.

OBJECTIVE: To examine the availability and facility-level predictors of LGBT-specific mental health and substance abuse treatment in the United States. DATA SOURCES/STUDY SETTING: 2016 National Survey of Substance Abuse Treatment Services, 2016 National Mental Health Service Survey, and 2015-2016 Gallup Daily tracking survey. STUDY DESIGN: Logistic regression models and average marginal effects were used to identify characteristics of facilities that offer LGBT-specific programs. Linear regression models were used to estimate the association between the state-level proportion of LGBT people and the proportion of facilities that offer LGBT-specific programs. DATA COLLECTION/EXTRACTION METHODS: Secondary data analysis. Cases with missing values for any predictor were excluded. PRINCIPLE FINDINGS: 12.6 percent of mental health and 17.6 percent of substance abuse facilities reported LGBT-specific programs. Several facility characteristics were statistically associated with the likelihood of mental health and substance abuse facilities providing LGBT-specific programs, including offering outpatient or residential treatment, private ownership, religious affiliation, and payment type. The proportion of LGBT adults living within each state was statistically associated with state-level density of LGBT-specific mental health programs, but not substance abuse programs. CONCLUSIONS: Findings suggest limited availability of culturally competent mental health and substance abuse treatment, despite well-documented need.

Utilization of Social Determinants of Health ICD-10 Z-Codes Among Hospitalized Patients in the United States, 2016-2017.

BACKGROUND: The inclusion of Z-codes for social determinants of health (SDOH) in the 10th revision of the International Classification of Diseases (ICD-10) may offer an opportunity to improve data collection of SDOH, but no characterization of their utilization exists on a national all-payer level. OBJECTIVE: To examine the prevalence of SDOH Z-codes and compare characteristics of patients with and without Z-codes and hospitals that do and do not use Z-codes. RESEARCH DESIGN: Retrospective cohort study using 2016 and 2017 National Inpatient Sample. PARTICIPANTS: Total of 14,289,644 inpatient hospitalizations. MEASURES: Prevalence of SDOH Z-codes (codes Z55-Z65) and descriptive statistics of patients and hospitals. RESULTS: Of admissions, 269,929 (1.9%) included SDOH Z-codes. Average monthly SDOH Z-code use increased across the study period by 0.01% per month (P<0.001). The cumulative number and proportion of hospitals that had ever used an SDOH Z-code also increased, from 1895 hospitals (41%) in January 2016 to 3210 hospitals (70%) in December 2017. Hospitals that coded at least 1 SDOH Z-code were larger, private not-for-profit, and urban teaching hospitals. Compared with admissions without an SDOH Z-code, admissions with them were for patients who were younger, more often male, Medicaid recipients or uninsured. A higher proportion of admissions with SDOH Z-codes were for mental health (44.0% vs. 3.3%, P<0.001) and alcohol and substance use disorders (9.6% vs. 1.1%, P<0.001) compared with those without. CONCLUSIONS: The uptake of SDOH Z-codes has been slow, and current coding is likely poorly reflective of the actual burden of social needs experienced by hospitalized patients.

Tapped Out? Racial Disparities in Extrahousehold Kin Resources and the Loss of Homeownership.

Research shows that extrahousehold kin economic resources contribute to the racial gap in transitions into homeownership, but the extent to which these resources matter for racial disparities in exits from homeownership is less understood. Using longitudinal data from the Panel Study of Income Dynamics, 1984-2017, we examine the role of extrahousehold kin wealth and poverty in shaping racial inequalities in the risk of exiting homeownership. Our nonlinear decomposition results indicate that racial differences in family network resources explain a nontrivial portion of the racial gap in homeownership exit, but there is little evidence that the effects of kin resources on exit are moderated by race. Among both Black and White owners, having wealthier noncoresident kin does not lessen the negative impacts of adverse economic or health shocks on the probability of losing homeownership. Our findings have implications for policies and programs designed to buttress the ability of minority households, especially those in financial distress, to sustain the wealth-building state of homeownership.

Latrine Ownership and Its Determinants in Rural Villages of Tigray, Northern Ethiopia: Community-Based Cross-Sectional Study.

Background: Open defecation was largely a rural phenomenon most widely attributed to poor latrine ownership at community level. We aimed at examining latrine ownership and its determinants in rural villages of the Tigray region, Northern Ethiopia. Methods: Community-based cross-sectional study was conducted from June to July 2018. A total of 756 randomly selected households were involved in the study. The multistage cluster sampling technique was used to select study households. Data were checked, coded, and entered into Epi-Info version 7. Besides, it was exported to SPSS version 20 for data analysis. Multivariable logistic regression analysis was involved to estimate the net effect size of factors associated with latrine ownership. Results: The proportion of households owning latrine was 35.7%. The majority (84.4%) of constructed latrines were utilized by household families. Households advocated latrine IEC by Health Extension Workers (HEWs) (AOR = 1.902, 95% CI: 1.269-2.852), living in their private house (AOR = 3.13, 95% CI: 1.528-6.401), and the occupation status of government employees (AOR = 3.54, 95% CI: 0.586-21.397) are more likely to lead to the construction of latrines. The availability of latrine made on slab floor (AOR = 1.790, 95% CI: 0.297-3.102), having a latrine constructed inside the household compound (AOR = 4.463, 95% CI: 1.021-19.516), and delivery of latrine IEC by Women Development Armies (WDAs) (AOR = 2.425, 95% CI: 0.728-8.083) may lead to better latrine utilization at the household level. Conclusion: Households owning latrine at the community level were low. The desired level of latrine ownership will be realized if all sanitation and hygiene components are kept on eye side by side in line with identified predictor factors.

The Association Between Hospital Characteristics and Emergency Medical Treatment and Labor Act Citation Events.

OBJECTIVES: The Emergency Medical Treatment and Labor Act (EMTALA) is a federal law enacted in 1986 prohibiting patient dumping (refusing or transferring patients with emergency medical conditions without appropriate stabilization), and discrimination based upon ability to pay. We evaluate hospital-level features associated with citation for EMTALA violation. MATERIALS AND METHODS: A retrospective analysis of observational data on EMTALA enforcement (2005-2013). Regression analysis evaluates the association between facility-level features and odds of EMTALA citation by hospital-year. RESULTS: Among 4916 EMTALA-obligated hospitals there were 1925 EMTALA citation events at 1413 facilities between 2005 and 2013, with 4.3% of hospitals cited per year. In adjusted analyses, increased odds of EMTALA citations were found at hospitals that were: for-profit [odds ratio (OR): 1.61; 95% confidence interval (CI): 1.32-1.96], in metropolitan areas (OR: 1.32; 95% CI: 1.11-1.57); that admitted a higher proportion of Medicaid patients (OR: 1.01; 95% CI: 1.0-1.01); and were in the top quartiles of hospital size (OR: 1.48; 95% CI: 1.10-1.99) and emergency department (ED) volume (OR: 1.56; 95% CI: 1.14-2.12). Predicted probability of repeat EMTALA citation in the year following initial citation was 17% among for-profit and 11% among other hospital types. Among citation events for patients presenting to the same hospital's ED, there were 1.30 EMTALA citation events per million ED visits, with 1.04 at private not-for-profit, 1.47 at government-owned, and 2.46 at for-profit hospitals. CONCLUSIONS: For-profit ownership is associated with increased odds of EMTALA citations after adjusting for other characteristics. Efforts to improve EMTALA might be considered to protect access to emergency care for vulnerable populations, particularly at large, urban, for-profit hospitals admitting high proportions of Medicaid patients.