Sexual Orientation Disparities in Risk Factors for Adverse COVID-19-Related Outcomes, by Race/Ethnicity - Behavioral Risk Factor Surveillance System, United States, 2017-2019.

Sexual minority persons experience health disparities associated with sexual stigma and discrimination and have a high prevalence of several health conditions that have been associated with severe coronavirus disease 2019 (COVID-19) (1,2). Current COVID-19 surveillance systems do not capture information about sexual orientation. To begin bridging the gap in knowledge about COVID-19 risk among sexual minority adults, CDC examined disparities between sexual minority and heterosexual adults in the prevalence of underlying conditions with strong or mixed evidence of associations with severe COVID-19-related illness (3), by using data from the 2017-2019 Behavioral Risk Factor Surveillance System (BRFSS).* When age, sex, and survey year are adjusted, sexual minority persons have higher prevalences than do heterosexual persons of self-reported cancer, kidney disease, chronic obstructive pulmonary disease (COPD), heart disease (including myocardial infarction, angina, or coronary heart disease), obesity, smoking, diabetes, asthma, hypertension, and stroke. Sexual minority adults who are members of racial/ethnic minority groups disproportionately affected by the pandemic also have higher prevalences of several of these health conditions than do racial/ethnic minority adults who are heterosexual. Collecting data on sexual orientation in COVID-19 surveillance and other studies would improve knowledge about disparities in infection and adverse outcomes by sexual orientation, thereby informing more equitable responses to the pandemic.

Explaining Disparities in Severe Headache and Migraine Among Sexual Minority Adults in the United States, 2013-2018.

Previous work has not examined how the association of sexual orientation and severe headache/migraine may be explained by differences between sexual minorities and heterosexuals in sociodemographic and health-related characteristics. Using data from the 2013-2018 National Health Interview Survey, regression decomposition was used to identify determinants of disparities in headache/migraine between sexual minorities collectively and heterosexuals, as well as between bisexual men and gay men, and bisexual women and lesbians. The prevalence of headache/migraine was the highest among bisexual women (36.8%), followed by lesbians (24.7%), bisexual men (22.8%), heterosexual women (19.7%), gay men (14.8%), and heterosexual men (9.8%). Across all models, the largest percentage of the disparity between sexual orientation/gender groups was attributable to age (range, 18.3%-42.2%), serious psychological distress (range, 6.6%-14.0%), and hours of regular sleep (range, 1.7%-8.2%). Although age accounted for the largest part of the disparity in headache/migraine by sexual orientation, several modifiable risk factors also played a role.

Readmissions Following Inpatient Treatment for Opioid-Related Conditions.

BACKGROUND: Previous research suggests that relatively few hospitalized patients with opioid-related conditions receive substance use treatment during their inpatient stay. Without treatment, these individuals may be more likely to have subsequent hospitalizations for continued opioid use disorder. OBJECTIVE: To evaluate the relationship between receipt of inpatient drug detoxification and/or rehabilitation services and subsequent opioid-related readmission. METHODS: This study used combined hospital inpatient discharge and emergency department visit data from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project. Our sample consisted of 329,037 patients from seven states with an opioid-related index hospitalization occurring between March 2010 and September 2013. Multivariate analysis was conducted to examine the relationship between opioid-related readmission and the receipt of inpatient drug detoxification and/or rehabilitation during the index visit. RESULTS: A relatively small percentage (19.4%) of patients with identified opioid-related conditions received treatment for drug use during their hospital inpatient stay. Patients who received drug rehabilitation, but not drug detoxification, during an opioid-related index hospitalization had lower odds of an opioid-related readmission within 90 days of discharge (odds ratio = 0.60, 95% confidence interval = 0.54-0.67) compared with patients with no inpatient drug detoxification or rehabilitation. Conclusions/Importance: A low percentage of patients receive inpatient services for drug use during an index stay involving an opioid-related diagnosis. Our findings indicate that receipt of drug rehabilitation services in acute care hospitals is associated with a lower 90-day readmission rate. Further research is needed to understand factors associated with the receipt of inpatient services and readmissions.

Shifts in Alcohol-Related Diagnoses After the Introduction of International Classification of Diseases, Tenth Revision, Clinical Modification Coding in U.S. Hospitals: Implications for Epidemiologic Research.

BACKGROUND: In October 2015, the United States transitioned healthcare diagnosis codes from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), to the Tenth Revision (ICD-10-CM). Trend analyses of alcohol-related stays could show discontinuities solely from the change in classification systems. This study examined the impact of the ICD-10-CM coding system on estimates of hospital stays involving alcohol-related diagnoses. METHODS: This analysis used 2014 to 2017 administrative data from the Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project State Inpatient Databases for 17 states. Quarterly ICD-9-CM data from second quarter 2014 through third quarter 2015 were concatenated with ICD-10-CM data from fourth quarter 2015 through first quarter 2017. Quarterly counts of alcohol-related stays were examined overall and then by 6 diagnostic subgroups: withdrawal, abuse, dependence, alcohol-induced mental disorders (AIMD), nonpsychiatric alcohol-induced disease, and intoxication or toxic effects. Within each group, we calculated the difference in the average number of stays between ICD-9-CM and ICD-10-CM coding periods. RESULTS: On average, the number of stays involving any alcohol-related diagnosis in the 6 quarters before and after the ICD-10-CM transition was stable. However, substantial shifts in stays occurred for alcohol abuse, AIMD, and intoxication or toxic effects. For example, the average quarterly number of stays involving AIMD was 170.7% higher in the ICD-10-CM period than in the ICD-9-CM period. This increase was driven in large part by 1 ICD-10-CM code, Alcohol use, unspecified with unspecified alcohol-induced disorder. CONCLUSIONS: Researchers conducting trend analyses of inpatient stays involving alcohol-related diagnoses should consider how ongoing modifications in the ICD-10-CM code system and coding guidelines might affect their work. An advisable approach for trend analyses across the ICD-10-CM transition is to aggregate diagnosis codes into broader, clinically meaningful groups-including a single global group that encompasses all alcohol-related stays-and then to select diagnostic groupings that minimize discontinuities between the 2 coding systems while providing useful information on this important indicator of population health.

State variation in opioid treatment policies and opioid-related hospital readmissions.

BACKGROUND: State policy approaches designed to provide opioid treatment options have received significant attention in addressing the opioid epidemic in the United States. In particular, expanded availability of naloxone to reverse overdose, Good Samaritan laws intended to protect individuals who attempt to provide or obtain emergency services for someone experiencing an opioid overdose, and expanded coverage of medication-assisted treatment (MAT) for individuals with opioid abuse or dependence may help curtail hospital readmissions from opioids. The objective of this retrospective cohort study was to evaluate the association between the presence of state opioid treatment policies-naloxone standing orders, Good Samaritan laws, and Medicaid medication-assisted treatment (MAT) coverage-and opioid-related hospital readmissions. METHODS: We used 2013-2015 hospital inpatient discharge data from 13 states from the Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project. We examined the relationship between state opioid treatment policies and 90-day opioid-related readmissions after a stay involving an opioid diagnosis. RESULTS: Our sample included 383,334 opioid-related index hospitalizations. Patients treated in states with naloxone standing-order policies at the time of the index stay had higher adjusted odds of an opioid-related readmission than did those treated in states without such policies; however, this relationship was not present in states with Good Samaritan laws. Medicaid methadone coverage was associated with higher odds of readmission among all insurance groups except Medicaid. Medicaid MAT coverage generosity was associated with higher odds of readmission among the Medicaid group but lower odds of readmission among the Medicare and privately insured groups. More comprehensive Medicaid coverage of substance use disorder treatment and a greater number of opioid treatment programs were associated with lower odds of readmission. CONCLUSIONS: Differences in index hospitalization rates suggest that states with opioid treatment policies had a higher level of need for opioid-related intervention, which also may account for higher rates of readmission. More research is needed to understand how these policies can be most effective in influencing acute care use.

Racial Disparities in Sepsis-Related In-Hospital Mortality: Using a Broad Case Capture Method and Multivariate Controls for Clinical and Hospital Variables, 2004-2013.

OBJECTIVES: As sepsis hospitalizations have increased, in-hospital sepsis deaths have declined. However, reported rates may remain higher among racial/ethnic minorities. Most previous studies have adjusted primarily for age and sex. The effect of other patient and hospital characteristics on disparities in sepsis mortality is not yet well-known. Furthermore, coding practices in claims data may influence findings. The objective of this study was to use a broad method of capturing sepsis cases to estimate 2004-2013 trends in risk-adjusted in-hospital sepsis mortality rates by race/ethnicity to inform efforts to reduce disparities in sepsis deaths. DESIGN: Retrospective, repeated cross-sectional study. SETTING: Acute care hospitals in the Healthcare Cost and Utilization Project State Inpatient Databases for 18 states with consistent race/ethnicity reporting. PATIENTS: Patients diagnosed with septicemia, sepsis, organ dysfunction plus infection, severe sepsis, or septic shock. MEASUREMENTS AND MAIN RESULTS: In-hospital sepsis mortality rates adjusted for patient and hospital factors by race/ethnicity were calculated. From 2004 to 2013, sepsis hospitalizations for all racial/ethnic groups increased, and mortality rates decreased by 5-7% annually. Mortality rates adjusted for patient characteristics were higher for all minority groups than for white patients. After adjusting for hospital characteristics, sepsis mortality rates in 2013 were similar for white (92.0 per 1,000 sepsis hospitalizations), black (94.0), and Hispanic (93.5) patients but remained elevated for Asian/Pacific Islander (106.4) and "other" (104.7; p < 0.001) racial/ethnic patients. CONCLUSIONS: Our results indicate that hospital characteristics contribute to higher rates of sepsis mortality for blacks and Hispanics. These findings underscore the importance of ensuring that improved sepsis identification and management is implemented across all hospitals, especially those serving diverse populations.

Trends in Opioid-related Inpatient Stays Shifted After the US Transitioned to ICD-10-CM Diagnosis Coding in 2015.

BACKGROUND: Trend analyses of opioid-related inpatient stays depend on the availability of comparable data over time. In October 2015, the US transitioned diagnosis coding from International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to ICD-10-CM, increasing from ∼14,000 to 68,000 codes. This study examines how trend analyses of inpatient stays involving opioid diagnoses were affected by the transition to ICD-10-CM. SUBJECTS: Data are from Healthcare Cost and Utilization Project State Inpatient Databases for 14 states in 2015-2016, representing 26% of acute care inpatient discharges in the US. STUDY DESIGN: We examined changes in the number of opioid-related stays before, during, and after the transition to ICD-10-CM using quarterly ICD-9-CM data from 2015 and quarterly ICD-10-CM data from the fourth quarter of 2015 and the first 3 quarters of 2016. RESULTS: Overall, stays involving any opioid-related diagnosis increased by 14.1% during the ICD transition-which was preceded by a much lower 5.0% average quarterly increase before the transition and followed by a 3.5% average increase after the transition. In stratified analysis, stays involving adverse effects of opioids in therapeutic use showed the largest increase (63.2%) during the transition, whereas stays involving abuse and poisoning diagnoses decreased by 21.1% and 12.4%, respectively. CONCLUSIONS: The sharp increase in opioid-related stays overall during the transition to ICD-10-CM may indicate that the new classification system is capturing stays that were missed by ICD-9-CM data. Estimates of stays involving other diagnoses may also be affected, and analysts should assess potential discontinuities in trends across the ICD transition.

Differences in Use of High-quality and Low-quality Hospitals Among Working-age Individuals by Insurance Type.

BACKGROUND: Research suggests that individuals with Medicaid or no insurance receive fewer evidence-based treatments and have worse outcomes than those with private insurance for a broad range of conditions. These differences may be due to patients' receiving care in hospitals of different quality. RESEARCH DESIGN: We used the Healthcare Cost and Utilization Project State Inpatient Databases 2009-2010 data to identify patients aged 18-64 years with private insurance, Medicaid, or no insurance who were hospitalized with acute myocardial infarction, heart failure, pneumonia, stroke, or gastrointestinal hemorrhage. Multinomial logit regressions estimated the probability of admissions to hospitals classified as high, medium, or low quality on the basis of risk-adjusted, in-hospital mortality. RESULTS: Compared with patients who have private insurance, those with Medicaid or no insurance were more likely to be minorities and to reside in areas with low-socioeconomic status. The probability of admission to high-quality hospitals was similar for patients with Medicaid (23.3%) and private insurance (23.0%) but was significantly lower for patients without insurance (19.8%, P<0.01) compared with the other 2 insurance groups. Accounting for demographic, socioeconomic, and clinical characteristics did not influence the results. CONCLUSIONS: Previously noted disparities in hospital quality of care for Medicaid recipients are not explained by differences in the quality of hospitals they use. Patients without insurance have lower use of high-quality hospitals, a finding that needs exploration with data after 2013 in light of the Affordable Care Act, which is designed to improve access to medical care for patients without insurance.

The effects of multiple chronic conditions on hospitalization costs and utilization for ambulatory care sensitive conditions in the United States: a nationally representative cross-sectional study.

BACKGROUND: The presence of multiple chronic conditions (MCCs) complicates inpatient hospital care, leading to higher costs and utilization. Multimorbidity also complicates primary care, increasing the likelihood of hospitalization for ambulatory care sensitive conditions. The purpose of this study was to evaluate how MCCs relate to inpatient hospitalization costs and utilization for ambulatory care sensitive conditions. METHODS: The 2012 Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) provided data to carry out a cross-sectional analysis of 1.43 million claims related to potentially preventable hospitalizations classified by the AHRQ Prevention Quality Indicator (PQI) composites. Categories of MCCs (0-1, 2-3, 4-5, and 6+) were examined in sets of acute, chronic, and overall PQIs. Multivariate models determined associations between categories of MCCs and 1) inpatient costs per stay, 2) inpatient costs per day, and 3) length of inpatient hospitalization. Negative binomial was used to model costs per stay and costs per day. RESULTS: The most common category observed was 2 or 3 chronic conditions (37.8 % of patients), followed by 4 or 5 chronic conditions (30.1 % of patients) and by 6+ chronic conditions (10.1 %). Compared with costs for patients with 0 or 1 chronic condition, hospitalization costs per stay for overall ambulatory care sensitive conditions were 19 % higher for those with 2 or 3 (95 % confidence interval [CI] 1.19-1.20), 32 % higher for those with 4 or 5 (95 % CI 1.31-1.32), and 31 % higher (95 % CI 1.30-3.32) for those with 6+ conditions. Acute condition stays were 11 % longer when 2 or 3 chronic conditions were present (95 % CI 1.11-1.12), 21 % longer when 4 or 5 were present (95 % CI 1.20-1.22), and 27 % longer when 6+ were present (95 % CI 1.26-1.28) compared with those with 0 or 1 chronic condition. Similar results were seen within chronic conditions. Associations between MCCs and total costs were driven by longer stays among those with more chronic conditions rather than by higher costs per day. CONCLUSIONS: The presence of MCCs increased inpatient costs for ambulatory care sensitive conditions via longer hospital stays.

Personal and professional challenges confronted by hospital staff following hurricane sandy: a qualitative assessment of management perspectives.

BACKGROUND: Adequate hospital staffing during and after a disaster is critical to meet increased health care demands and to ensure continuity of care and patient safety. However, when a disaster occurs, staff may become both victim and responder, decreasing their ability and willingness to report for work. This qualitative study assessed the personal and professional challenges that affected staff decisions to report to work following a natural disaster and examined the role of management in addressing staff needs and concerns. METHODS: Semi-structured interviews were conducted with individuals who filled key management roles in the United States Department of Veterans Affairs New York Harbor Healthcare System's response to Superstorm Sandy and during the facility's initial recovery phase. All interviews were audio recorded and transcribed. Three major themes were identified: 1) Barriers to reporting ("Barriers"), 2) Facilitators to reporting ("Facilitators"), and 3) Responses to staff needs and concerns ("Responses"). Atlas.ti 7.1.6 software program was used for the management and analysis of the transcripts. RESULTS: Results indicated that staff encountered several barriers that impeded their ability to report to work at mobile vans at the temporarily nonoperational Manhattan campus or at two other VA facilities in Brooklyn and the Bronx in the initial post-Sandy period including transportation problems, personal property damage, and communication issues. In addition, we found evidence of facilitators to reporting as expressed through descriptions of professional duty. Our findings also revealed that management was aware of the challenges that staff was facing and made efforts to reduce barriers and accommodate staff affected by the storm. CONCLUSIONS: During and after a disaster event, hospital staff is often confronted with challenges that affect decisions to report for work and perform effectively under potentially harsh conditions. This study examined barriers and facilitators that hospital staff encountered following a major natural disaster from the management perspective. Insights gained from this study can be used to inform future disaster planning and preparedness efforts, and help ensure that there is adequate staffing to mount an effective response when a disaster occurs, and to recover from its aftermath.

Evacuate or Shelter-in-place? The Role of Corporate Memory and Political Environment in Hospital-evacuation Decision Making.

PROBLEM: Hospital-evacuation decisions are rarely straightforward in protracted advance-warning events. Previous work provides little insight into the decision-making process around evacuation. This study was conducted to identify factors that most heavily influenced the decisions to evacuate the US Department of Veterans Affairs (VA) New York Harbor Healthcare System's (NYHHS; New York USA) Manhattan Campus before Hurricane Irene in 2011 and before Superstorm Sandy in 2012. METHODS: Semi-structured interviews with 11 senior leaders were conducted on the processes and factors that influenced the evacuation decisions prior to each event. RESULTS: The most influential factor in the decision to evacuate the Manhattan Campus before Hurricane Irene was New York City's (NYC's) hospital-evacuation mandate. As a federal facility, the Manhattan VA medical center (VAMC) was exempt from the city's order, but decision makers felt compelled to comply. In the case of Superstorm Sandy, corporate memory of a similar 1992 storm that crippled the Manhattan facility drove the decision to evacuate before the storm hit. CONCLUSIONS: Results suggest that hospital-evacuation decisions are confounded by political considerations and are influenced by past disaster experience. Greater shared situational awareness among at-risk hospitals, along with a more coordinated approach to evacuation decision making, could reduce pressure on hospitals to make these high-stakes decisions. Systematic mechanisms for collecting, documenting, and sharing lessons learned from past disasters are sorely needed at the institutional, local, and national levels.

Organizational correlates of implementation of colocation of mental health and primary care in the Veterans Health Administration.

This study explored the role of organizational factors in the ability of Veterans Health Administration (VHA) clinics to implement colocated mental health care in primary care settings (PC-MH). The study used data from the VHA Clinical Practice Organizational Survey collected in 2007 from 225 clinic administrators across the United States. Clinic degree of implementation of PC-MH was the dependent variable, whereas independent variables included policies and procedures, organizational context, and leaders' perceptions of barriers to change. Pearson bivariate correlations and multivariable linear regression were used to test hypotheses. Results show that depression care training for primary care providers and clinics' flexibility and participation were both positively correlated with implementation of PC-MH. However, after accounting for other factors, regressions show that only training primary care providers in depression care was marginally associated with degree of implementation of PC-MH (p = 0.051). Given the importance of this topic for implementing integrated care as part of health care reform, these null findings underscore the need to improve theory and testing of more proximal measures of colocation in future work.

Factors influencing readiness to deploy in disaster response: findings from a cross-sectional survey of the Department of Veterans Affairs Disaster Emergency Medical Personnel System.

BACKGROUND: The Disaster Emergency Medical Personnel System (DEMPS) program provides a system of volunteers whereby active or retired Department of Veterans Affairs (VA) personnel can register to be deployed to support other VA facilities or the nation during national emergencies or disasters. Both early and ongoing volunteer training is required to participate. METHODS: This study aims to identify factors that impact willingness to deploy in the event of an emergency. This analysis was based on responses from 2,385 survey respondents (response rate, 29%). Latent variable path models were developed and tested using the EQS structural equations modeling program. Background demographic variables of education, age, minority ethnicity, and female gender were used as predictors of intervening latent variables of DEMPS Volunteer Experience, Positive Attitude about Training, and Stress. The model had acceptable fit statistics, and all three intermediate latent variables significantly predicted the outcome latent variable Readiness to Deploy. RESULTS: DEMPS Volunteer Experience and a Positive Attitude about Training were associated with Readiness to Deploy. Stress was associated with decreased Readiness to Deploy. Female gender was negatively correlated with Readiness to Deploy; however, there was an indirect relationship between female gender and Readiness to Deploy through Positive Attitude about Training. CONCLUSIONS: These findings suggest that volunteer emergency management response programs such as DEMPS should consider how best to address the factors that may make women less ready to deploy than men in order to ensure adequate gender representation among emergency responders. The findings underscore the importance of training opportunities to ensure that gender-sensitive support is a strong component of emergency response, and may apply to other emergency response programs such as the Medical Reserve Corps and the American Red Cross.

Comparison of the use of H1N1 and seasonal influenza vaccinations between veterans and non-veterans in the United States, 2010.

BACKGROUND: Veterans of the U.S. armed forces tend to be older and have more chronic health problems than the general adult population, which may place them at greater risk of complications from influenza. Despite Centers for Disease Control and Prevention (CDC) recommendations, seasonal influenza vaccination rates for the general adult population remain well below the national goal of 80%. Achieving this goal would be facilitated by a clearer understanding of which factors influence vaccination. METHODS: Using the 2010 U.S. National Health Interview Survey (NHIS), this study estimates models of two types of vaccinations (H1N1 and seasonal flu), assesses if the correlates differ for these vaccinations, and analyses the distribution of the correlates by veteran status. RESULTS: Veterans, women, non-Hispanic whites, non-smokers, those at high risk, educated, with health insurance, and who use clinics as a usual source of care were more likely to receive both types of vaccinations. Those who were older, married, and with higher income were more likely to get vaccinated for seasonal flu, but not for H1N1. Age and number of children living in the household were found to have different effects for H1N1 compared to seasonal flu. CONCLUSION: Veterans are more likely to get vaccinated for seasonal influenza and H1N1 compared to the general population. This might be due to Veterans having better access to care or Veterans participating in better health care practices. Future studies should examine potential differences in flu vaccination use among Veterans using Veterans Affairs (VA) health care system vs. non-VA users.

Explaining differences in hepatitis C between U.S. veterans and nonveterans in treatment for substance abuse: results from a regression decomposition.

Hepatitis C virus (HCV) infection is common among people with substance abuse histories and a burden for U.S. veterans in particular. This study compares self-reported HCV between 1,652 veterans and 48,013 nonveterans who received public-sector substance abuse treatment in Los Angeles between 2006 and 2010. A higher percentage of veterans than nonveterans reported HCV (6.5% vs. 3.8%, p < .0001). Homelessness and mental illness explained, respectively, 8.6% and 7.1% of the difference in HCV between the two groups, adjusting for other variables. Reducing homelessness and mental illness among veterans may also help reduce the excess burden of HCV in this population.

Personal medication preparedness among veteran and nonveteran men and women in the California population.

INTRODUCTION: The health of people with chronic medical conditions is particularly vulnerable to the disruptions caused by public health disasters, especially when there is massive damage to the medical infrastructure. Government agencies and national organizations recommend that people with chronic illness prepare for disasters by stockpiling extra supplies of medications. PROBLEM: A wide range of chronic illnesses has long been documented among veterans of the US armed forces. Veterans with chronic illness could be at great risk of complications due to disaster-related medication disruptions; however, the prevalence of personal medication preparedness among chronically ill veterans is not currently known. METHODS: Data was used from the 2009 California Health Interview Survey on 28,167 respondents who reported taking daily medications. After adjusting for differences in age, health status, and other characteristics, calculations were made of the percentage of respondents who had a two-week supply of emergency medications and, among respondents without a supply, the percentage who said they could obtain one. Veteran men, veteran women, nonveteran men, and nonveteran women were compared. RESULTS: Medication supplies among veteran men (81.9%) were higher than among nonveteran women (74.8%; P < .0001) and veteran women (81.1%; P = 0.014). Among respondents without medication supplies, 67.2% of nonveteran men said that they could obtain a two-week supply, compared with 60.1% of nonveteran women (P = .012). Discussion Among adults in California with chronic illness, veteran men are more likely to have personal emergency medication supplies than are veteran and nonveteran women. Veteran men may be more likely to be prepared because of their training to work in combat zones and other emergency situations, which perhaps engenders in them a culture of preparedness or self-reliance. It is also possible that people who choose to enlist in the military are different from the general population in ways that make them more likely to be better prepared for emergencies. CONCLUSION: Veterans in California have a relatively high level of emergency medication preparedness. Given the health complications that can result from disaster-related medication disruptions, this is a promising finding. Disasters are a national concern, however, and the personal preparedness of veterans in all parts of the nation should be assessed; these findings could serve as a useful reference point for such work in the future.

Reduced Access to Preventive Care Due to the COVID-19 Pandemic, by Chronic Disease Status and Race and Hispanic Origin, United States, 2020-2021.

OBJECTIVES: The COVID-19 pandemic has disproportionately affected racial and ethnic minority populations in the United States. The National Center for Health Statistics adapted the Research and Development Survey (RANDS), a commercial panel survey, to track selected health outcomes during the pandemic using the series RANDS during COVID-19 (RC-19). We examined access to preventive care among adults by chronic condition status, race, and Hispanic origin. METHODS: NORC at the University of Chicago conducted RC-19 among US adults in 3 rounds (June-July 2020 [round 1, N = 6800], August 2020 [round 2, N = 5981], and May-June 2021 [round 3, N = 5458]) via online survey and telephone. We evaluated reduced access to ≥1 type of preventive care due to the pandemic in the past 2 months for each round by using logistic regression analysis stratified by chronic condition status and race and Hispanic origin, adjusting for sociodemographic and health variables. RESULTS: Overall, 35.8% of US adults reported missing ≥1 type of preventive care in the previous 2 months in round 1, 26.0% in round 2, and 11.2% in round 3. Reduced access to preventive care was significantly higher among adults with ≥1 chronic condition (vs no chronic conditions) in rounds 1 and 2 (adjusted odds ratios [aOR)] = 1.5 and 1.4, respectively). Compared with non-Hispanic White adults, non-Hispanic Black adults reported significantly lower reduced access to preventive care in round 1 (aOR = 0.7), and non-Hispanic Other adults reported significantly higher reduced access to preventive care in round 2 (aOR = 1.5). CONCLUSIONS: Our findings may inform policies and programs for people at risk of reduced access to preventive care.

From personal tragedy to personal challenge: responses to stigma among sober living home residents and operators.

Sober living homes for people attempting to maintain abstinence from alcohol and drugs can act as a buffer against the high rates of substance misuse that are endemic to many urban environments. Sober living homes and other group homes for people with disabilities have faced persistent opposition from neighbourhood associations, which raises the question of stigma. This article describes the responses of sober living home residents and operators to the threat of stigma across a diverse set of neighbourhoods. Ten focus groups were conducted with 68 residents and operators of 35 sober living homes in Los Angeles County, California, between January 2009 and March 2010. Results showed that few residents reported experiences of blatant stigmatisation by neighbours; however, they were well aware of the stereotypes that could be ascribed to them. Despite this potential stigma, residents developed valued identities as helpers in their communities, providing advice to neighbours whose family or friends had substance use problems, and organising community service activities to improve the appearance of their neighbourhoods. With their attention to local context, sober living home residents and operators challenge the personal tragedy approach of much traditional advocacy on health-related stigma.

Sexual Orientation Differences in Access to Care and Health Status, Behaviors, and Beliefs: Findings from the National Health and Nutrition Examination Survey, National Survey of Family Growth, and National Health Interview Survey.

Objective-This report demonstrates use of three National Center for Health Statistics (NCHS) data systems to study differences in health by sexual orientation. Sexual orientation differences in a broad selection of health indicators were examined using the National Health and Nutrition Examination Survey (NHANES), National Survey of Family Growth (NSFG), and National Health Interview Survey (NHIS).