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.

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).

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.

Effects of Hurricanes on Emergency Department Utilization: An Analysis Across 7 US Storms.

OBJECTIVE: Emergency departments (EDs) are critical sources of care after natural disasters such as hurricanes. Understanding the impact on ED utilization by subpopulation and proximity to the hurricane's path can inform emergency preparedness planning. This study examines changes in ED utilization for residents of 344 counties after the occurrence of 7 US hurricanes between 2005 and 2016. METHODS: This retrospective observational study used ED data from the Healthcare Cost and Utilization Project State Inpatient Databases and State Emergency Department Databases. ED utilization rates for weeks during and after hurricanes were compared with pre-hurricane rates, stratified by the proximity of the patient county to the hurricane path, age, and disease category. RESULTS: The overall population rate of weekly ED visits changed little post-hurricane, but rates by disease categories and age demonstrated varying results. Utilization rates for respiratory disorders exhibited the largest post-hurricane increase, particularly 2-3 weeks following the hurricane. The change in population rates by disease categories and age tended to be larger for people residing in counties closer to the hurricane path. CONCLUSIONS: Changes in ED utilization following hurricanes depend on disease categories, age, and proximity to the hurricane path. Emergency managers could incorporate these factors into their planning processes.

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.

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.

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.

Annual Report on Health Care for Children and Youth in the United States: Focus on 30-Day Unplanned Inpatient Readmissions, 2009 to 2014.

OBJECTIVE: To describe trends in unplanned 30-day all-condition hospital readmissions for children aged 1 to 17 years between 2009 and 2014. METHODS: Analysis was conducted with the 2009-14 Nationwide Readmissions Database from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project. Annual hospital readmission rates, resource use, and the most common reasons for readmission were calculated for the 2009-14 period. RESULTS: The rate of readmission for children aged 1 to 17 years was essentially stable between 2009 and 2014 (5.5% in 2009 and 5.9% in 2014). In 2009, the most common reason (principal diagnosis) for readmission was sickle cell anemia, whereas in 2014 the most common reason was epilepsy. Pneumonia fell from the second to the sixth most common reason for readmission over this period (from 3832 to 2418 stays). Other respiratory infections were among the top 10 principal readmission diagnoses in 2009, but not in 2014. Septicemia was among the 10 most common reasons for readmission in 2014, but not in 2009. Although the average cost of index (ie, initial) stays with a subsequent readmission were similar in 2009 and 2014, the average cost of index stays without a readmission and cost of readmission stays increased by approximately 23%. In both 2009 and 2014, the average cost of the index stays with a subsequent readmission was 73% to 89% higher than that of the index stays of children who were not readmitted within 30 days. The average cost of index stays preceding a readmission was 33% to 45% higher than average costs for readmitted stays. In 2014, the aggregate cost of index stays plus readmissions was $1.58 billion, with 42.9% of the costs attributable to readmissions. Regarding the average costs and lengths of stay for the 10 most common readmission diagnoses, in 2009 the average cost per stay for complications of devices, implants, or grafts was nearly 5 times greater than that of asthma ($21,200 vs $4500, respectively). In 2014, average cost per stay ranged from $5500 for asthma to $39,500 for septicemia. In 2009, the average length of stay (LOS) for complications of devices, implants, or grafts was more than 3 three times higher than that for asthma (7.8 days vs 2.5 days, respectively), and in 2014, the average LOS for septicemia was nearly 4 times higher than that for asthma (10.4 days vs. 2.6 days). CONCLUSIONS: This study provides a baseline assessment for examining trends in 30-day unplanned pediatric readmissions, an important quality metric as the provisions of the Children's Health Insurance Program Reauthorization Act and the Affordable Care Act are changed and implemented in the future. More than 50,000 pediatric hospital stays in 2014 occurred within 30 days of a previous hospitalization, with an average cost of $13,800. This report is timely, as the health care system works to become more patient-centered and public and private payers grapple with how to pay for quality care for children. The report provides baseline information that can be used to further explore ways to reduce unplanned readmissions.

"We Are Disaster Response Experts": A Qualitative Study on the Mental Health Impact of Volunteering in Disaster Settings Among Combat Veterans.

Volunteers serving in a disaster context may experience harmful mental health effects that could impede rescue operations. Exploratory research suggests that combat veterans who volunteer in Team Rubicon (TR)-a disaster relief social service organization with the mission of uniting the skills and experiences of military Veterans with first responders to rapidly deploy emergency response teams-have positive mental health responses when providing disaster relief. The objective of this qualitative study was to identify those nuances associated with combat veterans' mental health response in TR. The study consisted of (N = 9) male combat Veterans who volunteered with TR. Data was thematically analyzed. Results suggested that members did not experience negative mental health effects because of prior military training and preparedness relevant to disaster situations. Positive outcomes in mental health were associated with the uniqueness of peer support in TR and applying skills from military training. Veterans in TR reported that providing disaster relief afforded them the opportunity to continue serving others after having served in the military. Implications for public health social work are discussed as well as the need for further research.

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.

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.

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.

Age-related Disparities in Trauma Center Access for Severe Head Injuries Following the Release of the Updated Field Triage Guidelines.

OBJECTIVE: In 2006, the American College of Surgeons' Committee on Trauma and the Centers for Disease Control and Prevention released field triage guidelines with special consideration for older adults. Additional considerations for direct transport to a Level I or II trauma center (TC) were added in 2011, reflecting perceived undertriage to TCs for older adults. We examined whether age-based disparities in TC care for severe head injury decreased following introduction of the 2011 revisions. METHODS: A pre-post design analyzing the 2009 and 2012 Healthcare Cost and Utilization Project State Emergency Department Databases and State Inpatient Databases with multivariable logistic regressions considered changes in 1) the trauma designation of the emergency department where treatment was initiated and 2) transfer to a TC following initial treatment at a non-TC. RESULTS: Compared with adults aged 18 to 44 years, after multivariable adjustment, in both years TC care was less likely for adults aged 45 to 64 years (odds ratio [OR] = 0.76 in 2009 and 0.74 in 2012), aged 65 to 84 years (OR = 0.61 and 0.59), and aged 85+ years (OR = 0.53 and 0.56). Between 2009 and 2012, the likelihood of TC care increased for all age groups, with the largest increase among those aged 85+ years (OR = 1.18), which was statistically different (p = 0.02) from the increase among adults aged 18 to 44 years (OR = 1.12). The analysis of transfers yielded similar results. CONCLUSIONS: Although patterns of increased TC treatment for all groups with severe head trauma indicate improvements, age-based disparities persisted.

Identifying in-patient costs attributable to the clinical sequelae and comorbidities of alcoholic liver disease in a national hospital database.

BACKGROUND AND AIMS: The clinical sequelae and comorbidities of alcoholic liver disease (ALD) often require hospitalization. The aims of this study were to (1) compare the average costs of hospitalizations with ALD and the costs of hospitalizations with other alcohol-related diagnoses that do not involve the liver; and (2) estimate the percentage of the difference in costs between the ALD and non-ALD hospitalizations that may be attributed to ascites, protein-calorie malnutrition and other conditions. DESIGN: The 2012 National Inpatient Sample is a population-based cross-sectional database representing more than 94% of all discharges from community hospitals in the United States. SETTING: Community hospitals in the United States. PARTICIPANTS: The sample included 72 531 hospitalizations with ALD and 287 047 hospitalizations with other alcohol-related diagnoses. MEASUREMENTS: The dependent variable was total in-patient costs. We estimated the contribution of ascites, protein-calorie malnutrition and other conditions to the difference in costs between patients with ALD and patients with other diagnoses. FINDINGS: Average costs for ALD patients were $3188.4 higher than those for patients with other diagnoses ($13 543 versus $10 355; P < 0.001). Among all conditions in the analysis, protein-calorie malnutrition had the largest impact on costs [$6501; 95% confidence interval (CI) = 5956, 7045; P < 0.001] accounting for 12% of the higher costs of ALD stays. CONCLUSIONS: Costs of hospital care for patients with alcoholic liver disease are higher than those for patients with other alcohol-related diagnoses. These increased costs are associated with specific clinical sequelae and comorbidities, with protein-calorie malnutrition-a largely preventable condition-making a substantial contribution.

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.

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.

Admissions after discharge from an emergency department for chest symptoms.

BACKGROUND: Often patients who present to the emergency department (ED) with chest symptoms return to the hospital within 30 days with the same or closely related symptoms and are admitted, raising questions about quality of care, timeliness of diagnosis, and patient safety. This study examined the frequency of and patient characteristics associated with subsequent inpatient admissions for related symptoms after discharge from an ED for chest symptoms. METHODS: We used data from the 2012 and 2013 Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) and State Emergency Department Databases (SEDD) from eight states to identify over 1.8 million ED discharges for chest symptoms. RESULTS: Approximately 3% of ED discharges experienced potentially related subsequent admissions within 30 days - 0.2% for acute myocardial infarction (AMI), 1.7% for other cardiovascular conditions, 0.5% for respiratory conditions, and 0.6% for mental disorders. Logistic regression results showed higher odds of subsequent admission for older patients and those residing in low-income areas, and lower odds for females and non White racial/ethnic groups. Privately insured patients had lower odds of subsequent admission than did those who were uninsured or covered by other programs. CONCLUSIONS: Because we included multiple diagnostic categories of subsequent admissions, our results show a more complete picture of patients presenting to the ED with chest symptoms compared with previous studies. In particular, we show a lower rate of subsequent admission for AMI versus other diagnoses. ED physicians and administrators can use the results to identify characteristics associated with increased odds of subsequent admission to target at-risk populations.

Special Services for Women in Substance Use Disorders Treatment: How Does the Department of Veterans Affairs Compare with Other Providers?

BACKGROUND: Gender is an important consideration in the treatment of substance use disorders (SUD). Although the number of women seeking care through the Department of Veterans Affairs (VA) has increased dramatically, little is known about the capacity of the VA to meet the needs of women with SUD. We examined the prevalence of programs and key services for women in VA facilities in a survey of 14,311 SUD treatment facilities. METHODS: Using data from the 2012 National Survey of Substance Abuse Treatment Services, we calculated the percent of VA facilities offering special programs or groups exclusively for women, compared with facilities under other types of ownership. For each ownership type, we also calculated the mean number of ancillary services offered that are critical for many women in SUD treatment, including child care, domestic violence counseling, and transportation assistance. Multivariable models were used to adjust for differences in other facility characteristics. FINDINGS: Approximately 31% of facilities had special programs exclusively for women. The VA had the lowest prevalence of programs for women, at 19.1%; however, the VA offered an average of 5 key services for women, which was significantly higher than the averages for other federal (n = 2), local (n = 4), and private for-profit (n = 2) facilities. Results were generally robust to multivariable adjustments. CONCLUSIONS: The VA should consider developing more SUD programs and groups exclusively for women, while maintaining ancillary services at their relatively abundant level. Gender-specific programs and groups could serve as points of referral to ancillary services for women veterans.