Hospital Discharge Data Research Articles

The effects of alcohol on recovery from musculoskeletal trauma and injuries

Introduction: This study aimed to investigate the association between alcohol misuse (abuse and dependence) and clinical outcomes including infection, length of stay (LOS), and in-hospital mortality (IHM) among patients with musculoskeletal injuries. Methods: A retrospective analysis was conducted using California Hospital Discharge Data for 2018. The study included patients aged 18 years or older with musculoskeletal injuries categorized by injury sites (head/neck, trunk, and extremities) and alcohol misuse (abuse or dependence). Multivariate logistic regression analysis was used to assess the independent association of alcohol misuse with the outcome variables, controlling for age, gender, ethnicity, and insurance status. Results: Among 3.7 million discharges, 207623 (40.2%) had alcohol abuse, and 58.8% had alcohol dependence. The findings revealed that among musculoskeletal injury discharges, those with alcohol abuse, compared to alcohol dependence, had higher odds of infection (OR=1.25; CI=1.07-1.45). However, they had lower odds of LOS of≥4 days (OR=0.78; CI=0.77-0.79), and lower odds of IHM (OR=0.91; CI=0.86-0.96). Extremity injuries were associated with higher odds of infection, longer hospital stays, and lower IHM compared to head/neck and trunk injuries. Males compared to females and patients aged 67 or older compared to their 18-34 age group encounters were more likely to experience infection, LOS of≥4 days, and IHM. Hispanic and Asian patients experienced less infection and fewer days in the hospital but presented with higher odds of IHM. Conclusion: Our results reveal the burden of alcohol misuse in treatment outcomes among patients undergoing hospitalization for treatment of musculoskeletal injuries as they related to infection, length of hospital stay, and IHM. These findings also highlight the potential economic implications of alcohol-related musculoskeletal injuries. Our findings emphasize the necessity for an approach that goes beyond treating immediate physical injury, but considering a patient’s history of alcohol abuse and providing appropriate support and interventions to improve treatment outcomes for individuals affected by musculoskeletal injuries and alcohol misuse.

Regional variation in access to and quality of acute stroke care: results of Germany’s Health System Performance Assessment pilot, 2014–2020

BackgroundHealth System Performance Assessments (HSPA) and analyses of unwarranted regional variation in health care both aim at identifying strengths and weaknesses of health systems to improve care. Applying HSPA’s conceptual approach of interrelated health system dimensions (e.g., access, quality) to regional levels might help to better understand variation in care to reduce inequity and improve performance.MethodsWe use four indicators identified and analysed in a pilot study for a German HSPA to assess variation in access to and quality of acute stroke care between Germany’s 16 federal states and urban vs. rural regions from 2014 to 2020. Stroke unit (SU) density, share of the population reaching a SU within 30 min by car, share of inpatient stroke cases treated in a hospital with a SU, and inpatient mortality were computed based on hospital quality reports and discharge data covering all acute care hospitals. Inpatient mortality was adjusted for age, sex, stroke type, and comorbidities.ResultsAbout 500 SU were identified, i.e., 2.0 per 1,000 inpatient stroke cases. Almost 95% of Germans could reach a SU hospital within 30 min (rural: 90%; urban: 99%; > 88% in all states but one). The share of inpatient stroke cases treated in a SU hospital increased to 93% with a decreasing span between rural (92%) and urban (95%) regions and between states (74–98%). Inpatient mortality stagnated around 8.5% and increased to 9.0% in 2020 (rural: 8.7%; urban: 9.2%; states: 7.0–9.7%, one outlier of 13.3%).ConclusionsThe results especially revealed varying performance patterns in access to and quality of acute stroke care between the federal states, indicating different areas for improvement which might be addressed by more targeted policy measures in the future.

Charcot neuroarthropathy in diabetic patients in Texas

AimsCharcot neuroarthropathy (CN) is a complex disease of the bone and joints that can lead to serious and life-threatening complications. This study investigates epidemiologic trends in diabetic CN in Texas and the impact of age on these values. MethodsA retrospective analysis was conducted using the Texas Department of State Health Services Hospital Discharge Data Public Use Data File. Using International Classification of Diseases, Ninth (ICD-9) and Tenth (ICD-10) Revision codes, we identified patients with diabetes and Charcot ankle or foot. Data extracted included diagnoses, race, and gender. Population rates were estimated using census data, calculated per 1000 population and standardized by age. ResultsOverall and age-standardized rates of CN increased each year from 2006 to 2016, except for a downward trend from 2014 to 2016. Poisson regression revealed significant increases in the incidence rate ratio compared to 2006 for each year from 2008 to 2016. When age group is included, all years except 2007 show a significant increase relative to 2006, and all age groups have increased rates relative to ages 18–44. Major and minor amputations in patients with CN have increased. ConclusionsThe increasing rates of CN and amputations highlight the need for further research and standardized strategies for diagnosis and management.

Who's in the NICU? A population-level analysis.

To understand the characteristics of infants admitted to US NICUs. 2006-2014 linked birth certificate and hospital discharge data for potentially viable deliveries in Pennsylvania and South Carolina were used. NICU admissions were identified using revenue codes. NICU-admitted infants were categorized by gestational age (GA), birthweight, and condition severity (for GA 35+ weeks). We also assessed total patient days and trends over time. 12% of infants were admitted to a NICU; 13.6% were GA < 32 weeks (45.3% of total days); 36.1% were GA 32-36 weeks (31.2% of total days); and 50.4% were GA 37+ weeks (23.5% of total days). 20% of admissions were for infants with GA 35+ weeks and mild conditions. Admissions increased numerically from 11.2% (2006) to 13.0% (2014), with increases among infants 35+ weeks. Most NICU admissions are for infants 35+ weeks GA, many with mild conditions who may be accommodated in well-baby units.

Disparities in Total Knee and Total Hip Arthroplasty Rates in the Population of Alaska, 2015 to 2018.

Racial and ethnic disparities in total joint replacements have been documented. Our objective was to determine the rates of total joint replacements for Alaska Native/American Indian (AN/AI) individuals compared with non-AN/AI individuals in Alaska and investigate the differences in characteristics and outcomes by race. We used hospital discharge data from the Alaska Health Facilities Data Reporting Program from 2015 to 2018. We identified people with an inpatient primary or revision total knee arthroplasty (TKA) or total hip arthroplasty (THA). We determined the population proportion of each procedure, age-adjusted rates by race, age-specific rates, and multivariable adjusted rate ratios for TKA or THA. We compared the characteristics of people undergoing primary TKA and THA by race. In 2,195,806 person-years, there were 8,131 arthroplasty procedures (4,594 primary TKAs, 2,791 primary THAs, 378 revision TKAs, and 368 revision THAs). Primary TKAs and THAs were less likely in people of AN/AI or "Other" race compared with people of White race, with some heterogeneity in the "Other" race category. In multivariable models, the adjusted rate ratio for AN/AI compared with White race for TKA was 0.70 (95% confidence interval [CI] 0.60-0.82) and for THA was 0.69 (95% CI 0.55-0.85). AN/AI individuals undergoing TKA and THA were more likely to reside in rural locations, be younger than 65 years, have longer hospital stay, and discharge to home. This study confirmed the existence of racial disparities in TKA and THA in Alaska. There may be many underlying causes, and future research should focus on improving access to care.

Rural-urban and racial differences in cesarean deliveries before and during the COVID-19 pandemic in South Carolina

ProblemUnnecessary cesarean delivery increases the risk of complications for birthing people and infants. BackgroundExamining the intersectionality of rural and racial disparities in low-risk cesarean delivery is necessary to improve equity in quality obstetrics care. AimTo evaluate rural and racial/ethnic differences in Nulliparous, Term, Singleton, Vertex (NTSV) and primary cesarean delivery rates before and during the COVID-19 pandemic in South Carolina. MethodsThis retrospective cohort study used birth certificates linked to all-payer hospital discharge data for South Carolina childbirths from 2018 to 2021. Multilevel logistic regressions examined differences in cesarean outcomes by rural/urban hospital location and race/ethnicity of birthing people during pre-pandemic (January 2018–February 2020) and peri-pandemic periods (March 2020–December 2021), adjusting for maternal, infant, and hospital characteristics among two low-risk pregnancy cohorts: 1) Nulliparous, Term, Singleton, Vertex (NTSV, n = 65,974) and 2) those without prior cesarean (primary, n = 167,928). FindingsBlack vs. White disparities remained for NTSV cesarean in adjusted models (urban pre-pandemic aOR = 1.34, 95 %CI 1.23–1.46) but were not significantly different for primary cesarean, apart from rural settings peri-pandemic (aOR = 0.87, 95 %CI 0.79–0.96). Hispanic individuals had higher adjusted odds of NTSV cesarean only for rural settings pre-pandemic (aOR = 1.28, 95 %CI 1.05–1.56), but this disparity was not significant during the pandemic (aOR = 1.13, 95 %CI 0.93–1.37). Discussion and conclusionObserved rural and racial/ethnic disparities in cesarean delivery outcomes were present before and during the COVID-19 pandemic. Strategies effective in reducing racial disparities in primary cesarean may be useful in also reducing Black vs. White NTSV cesarean disparities.

Stroke Prevention and Management in Rural Georgia: Evaluating the Effectiveness of a Community Paramedicine Program.

Stroke remains a major public health concern in the state of Georgia with high mortality, disproportionately affecting rural and socioeconomically disadvantaged communities. Georgia's age-standardized stroke death rate is 10.8% higher than the national average, and related comorbidities remain elevated in adult Georgians, contributing to higher stroke prevalence. The Georgia Department of Public Health piloted a Community Paramedicine (CP) program in 2 rural counties to improve stroke management, readmissions, and mortality. Various supportive interventions to address barriers to chronic disease management were provided by a local emergency medical service agency for 90days. This study aims to evaluate the effectiveness of the CP care delivery model in improving stroke outcomes among high-risk individuals. CP leverages emergency medical service infrastructure to provide community health services such as home visits, telemedicine, care coordination, education, and access to social support services. The Georgia Hospital Discharge data and Georgia death records were used to measure stroke rehospitalization and deaths at 30, 60, and 90 days post-discharge for stroke. We compared the health outcomes of high-risk individuals who participated in the CP program to those who did not. Multivariable analysis suggested a reduction in stroke mortality rates among the intervention groups in both counties. The CP program demonstrated effectiveness in assisting patients with managing risk factors through medication adherence for conditions such as hypertension, hypercholesterolemia, and diabetes.

Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study.

Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters. Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables. There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs. This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Trends in the surgical treatment for metastatic spinal tumor in Japanese administrative data between 2012 and 2020.

Both cancer diagnosis/treatment modality and surgical technique for the spine have been developed recently. Nationwide trends in the surgical treatment for metastatic spinal tumors have not been reported in the last decades. This study aimed to examine recent trends in the surgical treatment for spinal metastasis and in-hospital patient outcomes using nationwide administrative hospital discharge data. The Diagnosis Procedure Combination database from 2012 to 2020 was used to extract data from patients who underwent surgical procedures for spinal metastasis with the number of non-metastatic spinal surgery at the institutions that have performed metastatic spine surgeries at least one case in the same year. Trends in the surgical treatment for spinal metastasis, patients' demographics, and in-hospital mortality/outcomes were investigated. This study analyzed 10,321 eligible patients with spinal metastasis. The surgical treatment for spinal metastasis increased 1.68 times from 2012 to 2020, especially in fusion surgery, whereas the proportion of metastatic spinal surgery retained with a slight increase in the 2%s. Distributions of the primary site did not change, whereas age was getting older. In-hospital mortality and length of stay decreased over time (9.9-6.8%, p < 0.001; 37-30days, p < 0.001). Postoperative complication and unfavorable ambulatory retained stable and slightly decreased, respectively. During the last decade, surgical treatment for spinal metastasis, especially fusion surgery, has increased in Japan. In-hospital mortality and length of stay decreased. Recent advances in cancer treatment and surgical techniques might influence this trend.

Prenatal methamphetamine use increases risk of adverse maternal and neonatal outcomes

Although methamphetamine use has been increasing in recent years and occurring within new populations and in broader geographical areas, there is limited research on its use and effect in pregnancy. This study aimed to examine the association between prenatal methamphetamine use and maternal and neonatal outcomes in a large, contemporary birth cohort. This was a retrospective cohort study using California-linked vital statistics and hospital discharge data from 2008 to 2019. Methamphetamine use was identified using the International Classification of Disease, Ninth Revision and Tenth Revision, codes. Chi-square tests and multivariable Poisson regression models were used to evaluate the associations between methamphetamine use and maternal and neonatal outcomes. A total of 4,775,463 pregnancies met the inclusion criteria, of which 18,473 (0.39%) had methamphetamine use. Compared with individuals without methamphetamine use, individuals with methamphetamine use had an increased risk of nonsevere hypertensive disorders (adjusted risk ratio, 1.81; 95% confidence interval, 1.71-1.90), preeclampsia with severe features (adjusted risk ratio, 3.38; 95% confidence interval, 3.14-3.63), placental abruption (adjusted risk ratio, 3.77; 95% confidence interval, 3.51-4.05), cardiovascular morbidity (adjusted risk ratio, 4.30; 95% confidence interval, 3.79-4.88), and severe maternal morbidity (adjusted risk ratio, 3.53; 95% confidence interval, 3.29-3.77). In addition, adverse neonatal outcomes were increased, including preterm birth at <37weeks of gestation (adjusted risk ratio, 2.85; 95% confidence interval, 2.77-2.94), neonatal intensive care unit admission (adjusted risk ratio, 2.46; 95% confidence interval, 2.39-2.53), and infant death (adjusted risk ratio, 2.73; 95% confidence interval, 2.35-3.16). Methamphetamine use in pregnancy is associated with an increased risk of adverse maternal and neonatal outcomes that persists after adjustment for confounding variables and sociodemographic factors. Our results can inform prenatal and postpartum care for this high-risk, socioeconomically vulnerable population.

Risk of Adverse Neonatal Outcomes After Combined Prenatal Cannabis and Nicotine Exposure

The prevalence of cannabis use in pregnancy is rising and is associated with adverse perinatal outcomes. In parallel, combined prenatal use of cannabis and nicotine is also increasing, but little is known about the combined impact of both substances on pregnancy and offspring outcomes compared with each substance alone. To assess the perinatal outcomes associated with combined cannabis and nicotine exposure compared with each substance alone during pregnancy. This retrospective population-based cohort study included linked hospital discharge data (obtained from the California Department of Health Care Access and Information) and vital statistics (obtained from the California Department of Public Health) from January 1, 2012, through December 31, 2019. Pregnant individuals with singleton gestations and gestational ages of 23 to 42 weeks were included. Data were analyzed from October 14, 2023, to March 4, 2024. Cannabis-related diagnosis and prenatal nicotine product use were captured using codes from International Classification of Diseases, Ninth Revision, Clinical Modification, and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification. The main outcomes were infant and neonatal death, infants small for gestational age, and preterm delivery. Results were analyzed by multivariable Poisson regression models. A total of 3 129 259 pregnant individuals were included (mean [SD] maternal age 29.3 [6.0] years), of whom 23 007 (0.7%) had a cannabis-related diagnosis, 56 811 (1.8%) had a nicotine-use diagnosis, and 10 312 (0.3%) had both in pregnancy. Compared with nonusers, those with cannabis or nicotine use diagnoses alone had increased rates of infant (0.7% for both) and neonatal (0.3% for both) death, small for gestational age (14.3% and 13.7%, respectively), and preterm delivery (<37 weeks) (12.2% and 12.0%, respectively). Moreover, risks in those with both cannabis and nicotine use were higher for infant death (1.2%; adjusted risk ratio [ARR], 2.18 [95% CI, 1.82-2.62]), neonatal death (0.6%; ARR, 1.76 [95% CI, 1.36-2.28]), small for gestational age (18.0%; ARR, 1.94 [95% CI, 1.86-2.02]), and preterm delivery (17.5%; ARR, 1.83 [95% CI, 1.75-1.91]). These findings suggest that co-occurring maternal use of cannabis and nicotine products in pregnancy is associated with an increased risk of infant and neonatal death and maternal and neonatal morbidity compared with use of either substance alone. Given the increasing prevalence of combined cannabis and nicotine use in pregnancy, these findings can help guide health care practitioners with preconception and prenatal counseling, especially regarding the benefits of cessation.

Molecular and Epidemiological Investigation of Fluconazole-resistant Candida parapsilosis-Georgia, United States, 2021.

Reports of fluconazole-resistant Candida parapsilosis bloodstream infections are increasing. We describe a cluster of fluconazole-resistant C parapsilosis bloodstream infections identified in 2021 on routine surveillance by the Georgia Emerging Infections Program in conjunction with the Centers for Disease Control and Prevention. Whole-genome sequencing was used to analyze C parapsilosis bloodstream infections isolates. Epidemiological data were obtained from medical records. A social network analysis was conducted using Georgia Hospital Discharge Data. Twenty fluconazole-resistant isolates were identified in 2021, representing the largest proportion (34%) of fluconazole-resistant C parapsilosis bloodstream infections identified in Georgia since surveillance began in 2008. All resistant isolates were closely genetically related and contained the Y132F mutation in the ERG11 gene. Patients with fluconazole-resistant isolates were more likely to have resided at long-term acute care hospitals compared with patients with susceptible isolates (P = .01). There was a trend toward increased mechanical ventilation and prior azole use in patients with fluconazole-resistant isolates. Social network analysis revealed that patients with fluconazole-resistant isolates interfaced with a distinct set of healthcare facilities centered around 2 long-term acute care hospitals compared with patients with susceptible isolates. Whole-genome sequencing results showing that fluconazole-resistant C parapsilosis isolates from Georgia surveillance demonstrated low genetic diversity compared with susceptible isolates and their association with a facility network centered around 2 long-term acute care hospitals suggests clonal spread of fluconazole-resistant C parapsilosis. Further studies are needed to better understand the sudden emergence and transmission of fluconazole-resistant C parapsilosis.

Obstetrical Complications in Venezuelan Refugee and Migrant Women: Analysis of Ecuadorian National Hospital Discharge Data, 2018-2021.

An estimated 7.7million Venezuelans have fled a severe humanitarian crisis in their country, most (70%) to other middle-income host countries in the same Andean region. Migration-related exposures during periconception and other critical gestational periods can adversely impact maternal-perinatal outcomes. Emerging evidence suggests that Venezuelan refugee and migrant women (VRMW) who migrate to Andean host countries are at-risk for delivering preterm and low birthweight infants and for Cesarean-sections. However, relatively few studies have examined obstetrical complications that could contribute to these or other short- and longer-term health outcomes of VRMW and/or their offspring. Our exploratory study analyzed four recent years of national hospital discharge data (2018-2021) from Ecuador to compare the primary discharge diagnoses of VRMW (n = 29,005) and Ecuadorian nationals (n = 1,136,796) for ICD-10 O code obstetrical complications related to or aggravated by pregnancy, childbirth, or the puerperium. Our findings indicated that VRMW were hospitalized for 0.5 days longer than Ecuadorian reference group women and they had higher adjusted odds (aOR) for a primary discharge diagnosis for obstetrical complications including preeclampsia (aOR:1.62, 95% CI:1.55,1.69), preterm labor (aOR:1.20, 95% CI:1.11,1.31), premature rupture of membranes (aOR: 1.72, 95% CI:1.63,1.83), oligohydraminos (aOR:1.24, 95% CI:1.12,1.36), obstructed labor (aOR: 1.39, 95% CI:1.31,1.47), perineal lacerations/other obstetric trauma (aOR:1.76, 95% CI:1.63, 1.91), STIs (aOR:2.59, 95% CI:1.29,2.92), anemia (aOR:1.33, 95% CI:1.24,1.42), and ectopic pregnancy (aOR:1.16 95% CI:1.04,1.28). They had similar aOR for diagnosed gestational diabetes and spontaneous abortion (SAB) compared to the reference group but a reduced aOR for genitourinary infections (aOR:0.79, 95% CI:0.74,0.84) and early pregnancy hemorrhage not ending in SAB (aOR:0.43, 95% CI:0.36,0.51). Our findings underscore the vulnerability of VRMW for a number of potentially serious obstetrical complications with the potential to adversely impact the short- and longer-term health of mothers and their offspring. Future studies should collect more detailed information on the migration status, experiences, and exposures of MRMW that influence their risk for obstetrical complications. These are needed to expand our findings to better understand why they have excess risk for these and to inform social and public health policies, programs and targeted interventions aimed at reducing the risk of this vulnerable refugee and migrant group.

Treatment of Hirschsprung's Disease in Germany: Analysis of National Hospital Discharge Data From 2016 to 2022

BackgroundHirschsprung's disease (HD) is a rare and complex malformation. The corrective operation is challenging and schedulable. The complete care situation for the corrective surgery for HD in Germany is uninvestigated. MethodsFor the years 2016–2022, the microdata of the diagnosis-related groups (DRG) -statistics provided by the Research Data Center of the German Federal Statistical Office were accessed. All hospital stays for corrective surgery of HD in patients aged 0–17 were analyzed for patient's comorbidities, treatment characteristics and hospital structures. The occurrence of severe early postoperative complications during the hospital stay were documented. ResultsThe care structure for HD in Germany is decentralized with 109 hospitals performing 1199 corrective surgeries in 7 years. 75% of the participating hospitals performed three or less cases per year and 55 participating hospitals did not perform corrective surgery for HD each year. Early postoperative complications were common with at least one severe early complication in 18.6% of the cases. With an overall low case load per hospital, a volume outcome relationship cannot be established within Germany. Compared to international high volume centers the quality of outcomes for some of the investigated parameters was reduced. Despite the establishing of centers of expertise by the European reference network ERNICA for the treatment of HD no trend towards centralization occurred in Germany. ConclusionsThe corrective surgery for HD in Germany is decentralized and results in an overall high rate of early complications. The comparison with international studies from high-volume centers indicates potential for improvement for the corrective surgery of HD. Centralization remains essential for the improvement of care for patients with HD.

Rural Hospitals Experienced More Patient Volume Variability Than Urban Hospitals During The COVID-19 Pandemic, 2020-21.

Fluctuations in patient volume during the COVID-19 pandemic may have been particularly concerning for rural hospitals. We examined hospital discharge data from the Healthcare Cost and Utilization Project State Inpatient Databases to compare data from the COVID-19 pandemic period (March 8, 2020-December 31, 2021) with data from the prepandemic period (January 1, 2017-March 7, 2020). Changes in average daily medical volume at rural hospitals showed a dose-response relationship with community COVID-19 burden, ranging from a 13.2percent decrease in patient volume in periods of low transmission to a 16.5percent increase in volume in periods of high transmission. Overall, about 35percent of rural hospitals experienced fluctuations exceeding 20percent (in either direction) in average daily total volume, in contrast to only 13percent of urban hospitals experiencing similar magnitudes of changes. Rural hospitals with a large change in average daily volume were more likely to be smaller, government-owned, and critical access hospitals and to have significantly lower operating margins. Our findings suggest that rural hospitals may have been more vulnerable operationally and financially to volume shifts during the pandemic, which warrants attention because of the potential impact on these hospitals' long-term sustainability.

Hospital initiation of opioids and long-term prescribing among older adults in primary care - a cohort study

Abstract Introduction The upwards trend in opioid prescribing poses concern for older adults given risks associated with prolonged opioid use.[1] With patients 65 years or older being predominantly prescribed stronger opioids, minimising duration of therapy is important to reduce falls, fracture and hospitalisation risk.[2] Studies assessing the associations between initial prescription attributes and duration of opioid use have yet to be conducted in an Irish setting. Aim This study aims to assess long-term opioid prescribing in opioid-naive patients initiated on opioid therapy in hospital, and patient and discharge prescription factors associated with long-term opioid prescribing. Methods This retrospective cohort study included approximately 40,000 patients aged ≥65 years from 44 GP practices during 2012-2018 in Ireland. Using GP record and hospital discharge data, individuals initiating an opioid at hospital discharge who were opioid naive (no opioid prescription in the previous 365 days) were identified. The primary analysis excluded cancer-related hospitalisations based on ICD-10 classification. Among non-cancer-related hospitalisations, Cox regression analysis assessed associations between patient and discharge prescription factors (opioid drug, duration, tapering instructions, as needed use specified) with the duration of opioid continuation post-discharge. Results Overall, 975 non-cancer-related opioid-naive patients were initiated on opioids at discharge (48.4% male, mean age 77.9 years). Of the 975 patients, 141 (14.5%) were prescribed 2 opioids and 10 (1.0%) were prescribed 3 opioids. Forty-one percent (n=403) continued opioid therapy following discharge, and 8.2% (n=80) were continually prescribed for &amp;gt;365 days. Of those who discontinued therapy within 365 days, the mean time to discontinuation was 106 days. Initial prescription factors including morphine (HR 0.43, 95%CI 0.23-0.80); duration ≥14 days (HR 0.58, 95%CI 0.39-0.86); and no duration stated (HR 0.46, 95%CI 0.32-0.66) (Figure 1) had statistically significant associations with long-term opioid therapy among those with non-cancer hospitalisations, adjusting for other factors. Conclusion Opioid type and initial prescription characteristics such as duration were associated with longer duration of use. Although limited by lack of information on the specific indication for opioid use, this study is the first in the Irish setting to evaluate the prescribing factors which may be modified to reduce their contribution to prolonged opioid therapy post-discharge.

Person-centered hospital discharge data: Essential existing infrastructure to enhance public health surveillance of maternal substance use disorders in the midst of a national maternal overdose crisis

ObjectivesAs crises of drug-related maternal harms escalate, US public health surveillance capacity remains suboptimal for drug-related maternal morbidities. Most state hospital discharge databases (HDDs) are encounter-based, and thus limit ascertainment of morbidities to delivery visits and ignoring those occurring during the 21 months spanning pregnancy and postpartum year. This study analyzes data from a state that curates person-centered HDD to compare patterns of substance use disorder (SUD) diagnoses at delivery vs. the full 21 pregnancy/postpartum months, overall and by maternal social position. MethodsAmong people who experienced an in-hospital birth in New York State between 9/1/2016 and 1/1/2018 (N = 330,872), we estimated SUD diagnosis (e.g., opioids, stimulants, benzodiazepines, cannabis) prevalence at delivery; across the full 9 months of pregnancy and 12 postpartum months; and by trimester and postpartum quarter. Risk ratio and risk difference estimated disparities by race/ethnicity, age, rurality, and payor. ResultsThe 21-month SUD prevalence rate per 100,000 was 2671 (95% CI 2616–2726), with 31% (29.5%−31.5%) missing SUD indication when ascertained at delivery only (1866; 95% CI 1820–1912). Quarterly rates followed a roughly J-shaped trajectory. Structurally marginalized individuals suffered the highest 21-month SUD prevalence (e.g., Black:White risk ratio=1.80 [CI:1.73–1.88]). ConclusionBy spanning the full 21 months of pregnancy/postpartum, person-centered HDD reveal than the maternal SUD crisis is far greater than encounter-based delivery estimates had revealed. Generating person-centered HDD will improve efforts to tailor interventions to help people who use drugs survive while pregnant and postpartum, and eliminate inequities.

Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019

Despite a global epidemiological transition towards increased burden of non-communicable diseases, communicable diseases continue to cause substantial morbidity and mortality worldwide. Understanding the burden of a wide range of infectious diseases, and its variation by geography and age, is pivotal to research priority setting and resource mobilisation globally. We estimated disability-adjusted life-years (DALYs) associated with 85 pathogens in 2019, globally, regionally, and for 204 countries and territories. The term pathogen included causative agents, pathogen groups, infectious conditions, and aggregate categories. We applied a novel methodological approach to account for underlying, immediate, and intermediate causes of death, which counted every death for which a pathogen had a role in the pathway to death. We refer to this measure as the burden associated with infection, which was estimated by combining different sources of information. To compare the burden among all pathogens, we used pathogen-specific ratios to incorporate the burden of immediate and intermediate causes of death for pathogens modelled previously by the GBD. We created the ratios by using multiple cause of death data, hospital discharge data, linkage data, and minimally invasive tissue sampling data to estimate the fraction of deaths coming from the pathway to death chain. We multiplied the pathogen-specific ratios by age-specific years of life lost (YLLs), calculated with GBD 2019 methods, and then added the adjusted YLLs to age-specific years lived with disability (YLDs) from GBD 2019 to produce adjusted DALYs to account for deaths in the chain. We used standard GBD methods to calculate 95% uncertainty intervals (UIs) for final estimates of DALYs by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. We provided burden estimates pertaining to all ages and specifically to the under 5 years age group. Globally in 2019, an estimated 704 million (95% UI 610-820) DALYs were associated with 85 different pathogens, including 309 million (250-377; 43·9% of the burden) in children younger than 5 years. This burden accounted for 27·7% (and 65·5% in those younger than 5 years) of the previously reported total DALYs from all causes in 2019. Comparing super-regions, considerable differences were observed in the estimated pathogen-associated burdens in relation to DALYs from all causes, with the highest burden observed in sub-Saharan Africa (314 million [270-368] DALYs; 61·5% of total regional burden) and the lowest in the high-income super-region (31·8 million [25·4-40·1] DALYs; 9·8%). Three leading pathogens were responsible for more than 50 million DALYs each in 2019: tuberculosis (65·1 million [59·0-71·2]), malaria (53·6 million [27·0-91·3]), and HIV or AIDS (52·1 million [46·6-60·9]). Malaria was the leading pathogen for DALYs in children younger than 5 years (37·2 million [17·8-64·2]). We also observed substantial burden associated with previously less recognised pathogens, including Staphylococcus aureus and specific Gram-negative bacterial species (ie, Klebsiella pneumoniae, Escherichia coli, Pseudomonas aeruginosa, Acinetobacter baumannii, and Helicobacter pylori). Conversely, some pathogens had a burden that was smaller than anticipated. Our detailed breakdown of DALYs associated with a comprehensive list of pathogens on a global, regional, and country level has revealed the magnitude of the problem and helps to indicate where research funding mismatch might exist. Given the disproportionate impact of infection on low-income and middle-income countries, an essential next step is for countries and relevant stakeholders to address these gaps by making targeted investments. Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.

Hospital segregation, critical care strain, and inpatient mortality during the COVID-19 pandemic in New York City.

Hospital segregation by race, ethnicity, and health insurance coverage is prevalent, with some hospitals providing a disproportionate share of undercompensated care. We assessed whether New York City (NYC) hospitals serving a higher proportion of Medicaid and uninsured patients pre-pandemic experienced greater critical care strain during the first wave of the COVID-19 pandemic, and whether this greater strain was associated with higher rates of in-hospital mortality. In a retrospective analysis of all-payer NYC hospital discharge data, we examined changes in admissions, stratified by use of intensive care unit (ICU), from the baseline period in early 2020 to the first COVID-19 wave across hospital quartiles (265,329 admissions), and crude and risk-adjusted inpatient mortality rates, also stratified by ICU use, in the first COVID wave across hospital quartiles (23,032 inpatient deaths), based on the proportion of Medicaid or uninsured admissions from 2017-2019 (quartile 1 lowest to 4 highest). Logistic regressions were used to assess the cross-sectional association between ICU strain, defined as ICU volume in excess of the baseline average, and patient-level mortality. ICU admissions in the first COVID-19 wave were 84%, 97%, 108%, and 123% of the baseline levels by hospital quartile 1-4, respectively. The risk-adjusted mortality rates for ICU admissions were 36.4 (CI = 34.7,38.2), 43.6 (CI = 41.5,45.8), 45.9 (CI = 43.8,48.1), and 45.7 (CI = 43.6,48.0) per 100 admissions, and those for non-ICU admissions were 8.6 (CI = 8.3,9.0), 10.9 (CI = 10.6,11.3), 12.6 (CI = 12.1,13.0), and 12.1 (CI = 11.6,12.7) per 100 admissions by hospital quartile 1-4, respectively. Compared with the reference group of 100% or less of the baseline weekly average, ICU admissions on a day for which the ICU volume was 101-150%, 151-200%, and > 200% of the baseline weekly average had odds ratios of 1.17 (95% CI = 1.10, 1.26), 2.63 (95% CI = 2.31, 3.00), and 3.26 (95% CI = 2.82, 3.78) for inpatient mortality, and non-ICU admissions on a day for which the ICU volume was 101-150%, 151-200%, and > 200% of the baseline weekly average had odds ratios of 1.28 (95% CI = 1.22, 1.34), 2.60 (95% CI = 2.40, 2.82), and 3.44 (95% CI = 3.11, 3.63) for inpatient mortality. Our findings are consistent with hospital segregation as a potential driver of COVID-related mortality inequities and highlight the need to desegregate health care to address structural racism, advance health equity, and improve pandemic resiliency.

Analysis of Oklahoma amputation trends and identification of risk factors to target areas for limb preservation interventions

ObjectiveAnnual trends of lower extremity amputation due to end-stage chronic disease are on the rise in the United States. These amputations are leading to massive expenses for patients and the medical system. In Oklahoma, we have a high-risk population because access to care is low, the number of uninsured is high, cardiovascular health is poor, and our overall health care performance is ranked 50th in the country. But we know little about Oklahomans and their risk of limb loss. It is, therefore, imperative to look closely at this population to discover contemporary rates, trends, and state-specific risk factors for amputation due to diabetes and/or peripheral arterial disease (PAD). We hypothesize that state-specific groups will be identified as having the highest risk for limb loss and that contemporary trends in amputations are rising. To create implementable solutions to limb preservation, a baseline must be set. MethodsWe conducted a 12-consecutive-year observational study using Oklahoma’s hospital discharge data. Discharges among patients 20 years or older with a primary or secondary diagnosis of diabetes and/or PAD were included. Diagnoses and amputation procedures were identified using International Classification of Disease-9 and -10 codes. Amputation rates were calculated per 1000 discharges. Trends in amputation rates were measured by annual percentage changes (APC). Prevalence ratios evaluated the differences in amputation rates across demographic groups. ResultsOver 5,000,000 discharges were identified from 2008 to 2019. Twenty-four percent had a diagnosis of diabetes and/or PAD. The overall amputation rate was 12 per 1000 discharges for those with diabetes and/or PAD. Diabetes and/or PAD-related amputation rates increased from 8.1 to 16.2 (APC, 6.0; 95% confidence interval [CI], 4.7-7.3). Most amputations were minor (59.5%), and although minor, increased at a faster rate compared with major amputations (minor amputation APC, 8.1; 95% CI, 6.7-9.6 vs major amputation APC, 3.1; 95% CI, 1.5-4.7); major amputations were notable in that they were significantly increasing. Amputation rates were the highest among males (16.7), American Indians (19.2), uninsured (21.2), non-married patients (12.7), and patients between 45 and 49 years of age (18.8), and calculated prevalence ratios for each were significant (P = .001) when compared within their respective category. ConclusionsAmputation rates in Oklahoma have nearly doubled in 12 years, with both major and minor amputations significantly increasing. This study describes a worsening trend, underscoring that amputations due to chronic disease is an urgent statewide health care problem. We also present imperative examples of amputation health care disparities. By defining these state-specific areas and populations at risk, we have identified areas to pursue and improve care. These distinctive risk factors will help to frame a statewide limb preservation intervention.