Impact of Residential Segregation on Healthcare Utilization and Perceived Quality of Care Among Informal Caregivers in the United States.

This study aimed to investigate the impact of racial residential segregation on healthcare utilization and perceived quality of care among informal caregivers in the US. It further assessed potential variations in the estimated impact across caregivers' race and socioeconomic status. We used data from the Health Information National Trends Survey Data Linkage Project (fielded in 2020) for a sample of 583 self-identified informal caregivers in the US. Fitting a series of regression models with the maximum likelihood estimation, we computed the beta coefficients (ß) of interest and their associated Wald 95% confidence limits (CI). Caregivers who resided in areas with higher segregation, compared to those living in lower segregated areas, were less likely to visit a healthcare professional [ß = - 2.08; Wald 95%CI - 2.093, - 2.067] (moderate); [ß = - 2.53; Wald 95%CI - 2.549, - 2.523] (high)]. Further, caregivers residing in moderate [ß = - 0.766; Wald 95%CI - 0.770, - 0.761] and high [ß = - 0.936; Wald 95%CI - 0.941, - 0.932] segregation regions were less likely to perceive a better quality of care compared to those located in low segregation areas. Moreover, as segregation level increased, Black caregivers were less likely to see a health professional, less frequently used healthcare services, and had poorer perceived healthcare quality when compared to Whites. Our findings indicate that higher residential segregation is associated with lower healthcare utilization, such as visiting a healthcare professional, and poorer perceived healthcare quality among informal caregivers. Given the essential role of informal caregivers in the current healthcare system, it is vital to investigate and address challenges associated with access to and quality of essential healthcare services to improve caregivers' health and well-being, specifically for caregivers of minority backgrounds.

The union advantage: union membership, access to care, and the Affordable Care Act.

We describe a "union advantage" in health insurance coverage and access to care. Using multiple statistical models and data from the Medical Expenditure Panel Survey for 1996-2019, we show that-compared to non-union workers-union workers are more likely to have health insurance coverage (98% vs. 86%), more likely to have a regular care provider (83% vs. 74%), visited office-based providers 31% more often (5.64 vs. 4.27 visits), spend $832 more on healthcare annually, and pay a lower share of their expenditures out-of-pocket (26% vs. 37%). When we control for demographic characteristics across variety of specifications, these differences almost always remain at a statistically significant level. Further, we show that the union advantage is greater for low-income workers. Next, we demonstrate that-although the Affordable Care Act (ACA) appears to have reduced the union advantage in health insurance coverage by increasing coverage rates among non-union workers-a substantial union advantage in access to care remains after the ACA's main provisions become effective. Finally, we explore how the ACA interacted with the trade union  goal of maintaining employer-based health insurance. We show that unionized workers are less likely to contribute to "enrollment shifting," which occurs when individuals shift from existing employer-based insurance to a new government funded program. This suggests that union bargaining over fringe benefits may have positive externalities in the form of cost reductions to the public sector.

Spiritual Well-Being and Use of Spiritual Care Interventions of Undergraduate Nursing Students.

ABSTRACT: A survey of undergraduate nursing students investigated their personal spiritual well-being (SWB), their spiritual care of patients, and where students felt spiritually challenged. The survey utilized the Spiritual Health and Life-Orientation Measure (SHALOM), the Nursing Spiritual Care Therapeutics Scale (NSCTS), and a qualitative extended response question. Findings revealed a positive correlation between high SWB and the spiritual care of patients and a significant improvement in the use of spiritual care therapeutics through the nursing program.

Transforming Healthcare Cybersecurity from Reactive to Proactive: Current Status and Future Recommendations.

The recent rise in cybersecurity breaches in healthcare organizations has put patients' privacy at a higher risk of being exposed. Despite this threat and the additional danger posed by such incidents to patients' safety, as well as operational and financial threats to healthcare organizations, very few studies have systematically examined the cybersecurity threats in healthcare. To lay a firm foundation for healthcare organizations and policymakers in better understanding the complexity of the issue of cybersecurity, this study explores the major type of cybersecurity threats for healthcare organizations and explains the roles of the four major players (cyber attackers, cyber defenders, developers, and end-users) in cybersecurity. Finally, the paper discusses a set of recommendations for the policymakers and healthcare organizations to strengthen cybersecurity in their organization.

Compositional and contextual factors associated with drug overdose deaths in the United States.

Background: In 2017, the US Department of Health and Human Services declared the Opioid epidemic a public health emergency. In the US, emergency rooms treat more than 1,000 people each day for drug overdose, and 115 of them die. This study examines compositional and contextual factors associated with drug overdose deaths rates in the US. Methods: Local spatial autocorrelation statistics were used to estimate hot spot areas to identify census tracts with high risk of drug overdose death. Logistic regressions investigated the relationship between drug overdose death rates and various compositional and contextual variables across census tracks. Results: The adjusted logistic model shows that compositional variables: depression (OR = 2.47 [2.37-2.58]), poor mental health (OR = 1.71 [1.63-1.79]), median age 1.41 (1.36-1.47) and the percentage of people with a high school diploma (OR = 1.30 [1.24-1.35]) were positively associated with the rate of drug overdose deaths. On the other hand, contextual variables: the percentage having health insurance (OR = 0.66 [0.64-0.69]), the Theil's H index (OR = 0.69 [0.66-0.71]), population density (OR = 0.80 [0.77-0.84]), poverty (OR = 0.90 [0.86-0.95]), and median household income (OR = 0.91[0.86-0.96]) were negatively associated with drug overdose deaths. Discussion: The analysis reveals a consistently strong association between compositional mental health factors and census tract-level death rates from drug overdose.

Self-Check-In Kiosks Utilization and Their Association With Wait Times in Emergency Departments in the United States.

BACKGROUND: Delayed care in emergency departments (EDs) is a serious problem in the United States. Patient wait time is considered a critical measure of delayed care in EDs. Several strategies have been employed by EDs to reduce wait time, including implementation of self-check-in kiosks. However, the effect of kiosks on wait time in EDs is understudied. OBJECTIVES: To assess the association between patient wait time and utilization of self-check-in kiosks in EDs. To investigate a series of other patient-, ED-, and hospital-level predictors of wait time in EDs. METHODS: Using data from the 2015 and 2016 National Hospital Ambulatory Medical Care Survey, we analyzed 40,528 ED visits by constructing a multivariable linear regression model of the log-transformed wait time data as an outcome, then computing percent changes in wait times. RESULTS: During the study period, about 9% of EDs in the United States implemented kiosks. In our linear regression model, the wait time in EDs with kiosk self-check-in services was 56.8% shorter (95% confidence interval ̶ 130% to ̶ 6.4%, p < 0.05) compared with EDs without kiosk services. In addition to kiosks, patients' day of visit, arrival time, triage assessment, arrival by ambulance, chronic medical conditions, ED boarding, hospitals' full-capacity protocol, and hospitals' location were significant predictors of wait time. CONCLUSIONS: Self-check-in kiosks are associated with shorter ED wait time in the United States. However, prolonged ED wait time continues to be a system-wide problem, and warrants multilayered interventions to address this challenge for those who are in acute need of immediate care.

Barriers to Healthcare Access Facing American Indian and Alaska Natives in Rural America.

We provide a literature review concerning healthcare access for Native Americans in rural areas. We group previous research around three themes; barriers in rural America; barriers within the Indian Health Services system (including provider recruitment and retention); and the scale of services offered. Considering a wide range of access measures, a general failure exists in providing Native Americans with services comparable to those received by other Americans There are repeated findings of disparities in specific resources available, such as staff and infrastructure. Improvement appears possible through increased funding, and by giving greater management control to each tribe.

Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions.

BACKGROUND: Chronic medical conditions (CCs) are leading causes of morbidity and mortality in the United States. Strategies to control CCs include targeting unhealthy behaviors, often through the use of patient empowerment tools, such as mobile health (mHealth) technology. However, no conclusive evidence exists that mHealth applications (apps) are effective among individuals with CCs for chronic disease self-management. METHODS: We used data from the Health Information National Trends Survey (HINTS 5, Cycle 1, 2017). A sample of 1864 non-institutionalized US adults (≥18 years) who had a smartphone and/or a tablet computer and at least one CC was analyzed. Using multivariable logistic regressions, we assessed predisposing, enabling, and need predictors of three health-promoting behaviors (HPBs): tracking progress on a health-related goal, making a health-related decision, and health-related discussions with a care provider among smart device and mHealth apps owners. RESULTS: Compared to those without mHealth apps, individuals with mHealth apps had significantly higher odds of using their smart devices to track progress on a health-related goal (adjusted odds ratio (aOR) 8.74, 95% confidence interval (CI): 5.66-13.50, P < .001), to make a health-related decision (aOR 1.77, 95% CI: 1.16-2.71, P < .01) and in health-related discussions with care providers (aOR 2.0, 95% CI: 1.26-3.19, P < .01). Other significant factors of at least one type of HPB among smart device and mHealth apps users were age, gender, education, occupational status, having a regular provider, and self-rated general health. CONCLUSION: mHealth apps are associated with increased rates of HPB among individuals with CCs. However, certain groups, like older adults, are most affected by a digital divide where they have lower access to mHealth apps and thus are not able to take advantage of these tools. Rigorous randomized clinical trials among various segments of the population and different health conditions are needed to establish the effectiveness of these mHealth apps. Healthcare providers should encourage validated mHealth apps for patients with CCs.

Association between Having a Regular Health Provider and Access to Services Linked to Electronic Health Records.

OBJECTIVE: A regular care provider is an important measure of access to health services, but little is known about the association between having a regular provider and patients' access to services associated with electronic health records (EHR). Furthermore, the composition of the additional electronic services made available to patients is not well studied. METHODS: We analyzed the most recent data from the Health Information National Trends Survey (HINTS5-Cycle1, 2017, n = 3,285). We estimated a weighted multivariable logistic regression model to assess the association between having a regular provider (65.3%) and access to EHR (29%). Control variables were selected based on Andersen's Behavioral Model. RESULTS: In the adjusted model, participants with a regular provider had significantly greater access to an EHR (aOR 2.91, p < .001) compared to participants without a regular provider. Participants were more likely to have access to an EHR if they were females (aOR 1.56, p < .01), had a tablet computer (aOR 1.55, p < .05), smartphone (aOR 2.27, p < .01), a former smoker (aOR 1.67, p < .05) or had two or more chronic medical conditions (aOR 1.79, p < .01). DISCUSSION: Individuals who have a regular provider are roughly three times as likely to have access to services linked to an EHR. Access to an EHR enhances both potential and realized access to many healthcare services. CONCLUSION: The availability of a regular care provider impacts the "digital divide." The expansion of electronic health services intensifies the importance of a regular care provider.

The Role of Gender in Cost-Related Medication Nonadherence Among Patients with Diabetes.

OBJECTIVE: Under 50% of type 2 diabetic patients achieve the recommended glycemic control. One barrier to glycemic control is patients' cost-related nonadherence to medications. We hypothesize gender differences in medication nonadherence due to costs among diabetic patients. METHODS: US National Health Interview Survey (2011 to 2014) data yielded 5260 males and 6188 females with diabetes for over a year. We applied 2 analytic methods (A and B below) across multiple outcome measures (1 to 4) of medication nonadherence due to cost. The key independent variable was participant's gender. RESULTS: Across methods and measure, females consistently report significantly higher rates of medication nonadherence due to costs. Pearson's χ2 showed that female patients were more likely to (1) skip medication (13.5%-10.2%; P < .001), take less than prescribed medication (13.9%-10.5%; P < .001), delay filling prescriptions (16.8%-12.5%; P < .001), and ask doctors to prescribe lower-cost alternative medications (31.8%-28.0%; P < .001). Controlling for covariates, logistic regression models found females more likely to skip medication (OR, 1.30; 95% CI, 1.09-1.55), take less than prescribed medication (OR, 1.26; 95%, CI, 1.06-1.50), delay filling prescriptions, (OR, 1.29; 95% CI, 1.11-1.50), and request lower-cost medication (OR, 1.17; 95% CI, 1.04-1.32). Our results report other factors that influence medication adherence, including socioeconomic and health status variables. CONCLUSIONS: A significant gender-based disparity exists on cost-related nonadherence of medication among diabetic patients. Health care providers and policy-makers should pay close attention to find ways to address cost-related nonadherence of medication among patients with chronic illness, especially among female patients.

Barriers and Facilitators of Breastfeeding Reported by Postpartum Women in Methadone Maintenance Therapy.

INTRODUCTION: This study utilized a cross-sectional qualitative and quantitative interview-based survey to capture the infant feeding practices and barriers to exclusive breastfeeding for women in methadone maintenance therapy. Participants were recruited from an opioid dependence treatment center in an urban setting in the Southeastern United States. MATERIALS AND METHODS: A convenience sample of women in treatment (n = 30) were interviewed using an adapted instrument designed to capture decisions and intentions to formula feed or breastfeed; support from friends and family; hospital experience; support from healthcare personnel; and maternal knowledge of breastfeeding while taking methadone. RESULTS: The majority of women in the sample initiated breastfeeding, but only 10% continued for >1 month. Challenges related to infant hospital stay posed a significant barrier. Two-thirds of infants remained hospitalized after the mother was discharged. Out of the 24 women who initiated breastfeeding, 11 reported that they discontinued because of issues related to infant's neonatal intensive care unit (NICU) stay. Eleven women reported that their healthcare providers did not discuss breastfeeding with them. Women who were encouraged to breastfeed by healthcare staff were more likely to breastfeed for longer durations. CONCLUSIONS: Women in treatment for opioid dependence both desire and attempt to establish breastfeeding, but encounter significant challenges, including long NICU stays and lack of support and education, that compromise their success. These findings should inform the development of future programs or interventions geared toward increasing breastfeeding initiation, support, and duration among women who give birth to babies while in treatment for opioid addiction.

Barriers to Health Care among Laotian Americans in Middle Tennessee.

We examined barriers to health care among Laotian Americans in a Middle Tennessee community that included a Laotian-speaking practitioner. A Laotian American primary care clinic nurse practitioner surveyed 312 adult Laotian Americans. The dependent variable was whether respondents visited (n = 214, 77.8%) or did not visit (n = 61,22.2%) primary care providers (PCP) in the last year. Chi-square analysis found visiting less likely if respondents were age 18-34 (p < .001), born in U.S. (p < .001), spent less time in U.S. (p = .010), never married (p = .001), lacked health insurance (p < .001), or lacked a PCP (p < .001). Chi-square analysis segmented by age found neither lack of English fluency nor preference for Laotian-speaking providers significantly reduced access, possibly because of the Laotian practitioner. Logistic regression found individuals with insurance five times more likely to visit and individuals with PCP 8.5 times more likely. Results support the value of training minority providers.

Provision of Rehabilitation Services in Residential Care Facilities: Evidence From a National Survey.

OBJECTIVE: To examine the association between organizational factors and provision of rehabilitation services that include physical therapy (PT) and occupational therapy (OT) in residential care facilities (RCFs) in the United States. DESIGN: A cross-sectional, observational study conducted using a national sample from the 2010 National Survey of Residential Care Facilities conducted by the Centers for Disease Control and Prevention's National Center for Health Statistics. SETTINGS: U.S. RCFs. PARTICIPANTS: RCFs (N=2302; weighted sample, 31,134 RCFs). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The association between characteristics of the facilities, director and staff, and residents, and provision of PT and OT services was assessed using multivariate logistic regression analyses. RESULTS: Among all RCFs in the United States, 43.9% provided PT and 40.0% provided OT. Medicaid-certified RCFs, larger-sized RCFs, RCFs with a licensed director, RCFs that used volunteers, and RCFs with higher personal care aide hours per patient per day were more likely to provide both PT and OT, while private, for-profit RCFs were less likely to provide PT and OT. RCFs with a higher percentage of white residents were more likely to provide PT, while RCFs with chain affiliation were more likely to provide OT. CONCLUSIONS: Less than half of the RCFs in the United States provide PT and OT, and this provision of therapy services is associated with organizational characteristics of the facilities. Future research should explore the effectiveness of rehabilitation services in RCFs on residents' health outcomes.

Too Much or Too Little? How Much Control Should Patients Have Over EHR Data?

Electronic health records (EHRs) have been promoted as a mechanism to overcome the fragmented healthcare system in the United States. The challenge that is being discussed is the rights of the patient to control the access to their EHRs' data and the needs of healthcare professionals to know health data to make the best treatment decisions for their patients. The Federal Trade Commission has asked those who store consumer information to comply with the Fair Information Practice Principles. In the EHR context, these principles give the rights to the patient to control who can see their health data and what components of the data are restricted from view. Control is not limited to patients, as it also includes parents of adolescent children. We suggest that the ongoing policy discussion include consideration of the precise questions patients will be asked when a need for data sharing arises. Further, patients should understand the relative risks that they face, and the degree to which their decisions will (or will not) significantly reduce the risk of a data breach. As various approaches are considered, it is important to address the relative resource requirements and the associated costs of each option.

Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults.

This study explores the use of mobile health applications (mHealth apps) on smartphones or tablets for health-seeking behavior among US adults. Data was obtained from cycle 4 of the 4th edition of the Health Information National Trends Survey (HINTS 4). Weighted multivariate logistic regression models examined predictors of 1) having mHealth apps, 2) usefulness of mHealth apps in achieving health behavior goals, 3) helpfulness in medical care decision-making, and 4) asking a physician new questions or seeking a second opinion. Using the Andersen Model of health services utilization, independent variables of interest were grouped under predisposing factors (age, gender, race, ethnicity, and marital status), enabling factors (education, employment, income, regular provider, health insurance, and rural/urban location of residence), and need factors (general health, confidence in their ability to take care of health, Body Mass Index, smoking status, and number of comorbidities). In a national sample of adults who had smartphones or tablets, 36 % had mHealth apps on their devices. Among those with apps, 60 % reported the usefulness of mHealth apps in achieving health behavior goals, 35 % reported their helpfulness for medical care decision-making, and 38 % reported their usefulness in asking their physicians new questions or seeking a second opinion. The multivariate models revealed that respondents were more likely to have mHealth apps if they had more education, health insurance, were confident in their ability to take good care of themselves, or had comorbidities, and were less likely to have them if they were older, had higher income, or lived in rural areas. In terms of usefulness of mHealth apps, those who were older and had higher income were less likely to report their usefulness in achieving health behavior goals. Those who were older, African American, and had confidence in their ability to take care of their health were more likely to respond that the mHealth apps were helpful in making a medical care decision and asking their physicians new questions or for a second opinion. Potentially, mHealth apps may reduce the burden on primary care, reduce costs, and improve the quality of care. However, several personal-level factors were associated with having mHealth apps and their perceived helpfulness among their users, indicating a multidimensional digital divide in the population of US adults.

Real option analysis--improving project selection in healthcare settings.

The effective selection of information technology projects is crucial for achieving gains from healthcare IT. This article introduces through example "real options analysis," a project selection best practice. The author discusses the applications of real options analysis, with emphasis on healthcare settings, and addresses the importance of organizational characteristics on real options analysis. The real options approach is an improvement over net present value analysis, which uses single estimates of future revenue and costs. Additionally, thinking of projects in terms of options helps design and manage investment strategies by identifying and valuing alternatives inherent in a project.