A Novel Risk-Adjusted Metric to Compare Hospitals on Their Antibiotic Prescribing at Hospital Discharge.

BACKGROUND: Antibiotic overuse at hospital discharge is common, but there is no metric to evaluate hospital performance at this transition of care. We built a risk-adjusted metric for comparing hospitals on their overall post-discharge antibiotic use. METHODS: This was a retrospective study across all acute-care admissions within the Veterans Health Administration during 2018-2021. For patients discharged to home, we collected data on antibiotics and relevant covariates. We built a zero-inflated, negative, binomial mixed model with 2 random intercepts for each hospital to predict post-discharge antibiotic exposure and length of therapy (LOT). Data were split into training and testing sets to evaluate model performance using absolute error. Hospital performance was determined by the predicted random intercepts. RESULTS: 1 804 300 patient-admissions across 129 hospitals were included. Antibiotics were prescribed to 41.5% while hospitalized and 19.5% at discharge. Median LOT among those prescribed post-discharge antibiotics was 7 (IQR, 4-10) days. The predictive model detected post-discharge antibiotic use with fidelity, including accurate identification of any exposure (area under the precision-recall curve = 0.97) and reliable prediction of post-discharge LOT (mean absolute error = 1.48). Based on this model, 39 (30.2%) hospitals prescribed antibiotics less often than expected at discharge and used shorter LOT than expected. Twenty-eight (21.7%) hospitals prescribed antibiotics more often at discharge and used longer LOT. CONCLUSIONS: A model using electronically available data was able to predict antibiotic use prescribed at hospital discharge and showed that some hospitals were more successful in reducing antibiotic overuse at this transition of care. This metric may help hospitals identify opportunities for improved antibiotic stewardship at discharge.

Stroke Risk After Emergency Department Treat-and-Release Visit for a Fall.

BACKGROUND: Previous cohort studies of hospitalized patients with a delayed diagnosis of ischemic stroke found that these patients often had an initial emergency department (ED) diagnosis of a fall. We sought to evaluate whether ED visits for a fall resulting in discharge to home (ie, treat-and-release visits) were associated with increased short-term ischemic stroke risk. METHODS: A case-crossover design was used to compare ED visits for falls during case periods (0-15, 16-30, 31-90, and 91-180 days before stroke) and control periods (equivalent time periods exactly 1 year before stroke) using administrative data from the Healthcare Cost and Utilization Project on all hospital admissions and ED visits across 10 states from 2016 to 2020. To identify ED treat-and-release visits for a fall and patients hospitalized for acute ischemic stroke, we used previously validated International Classification of Diseases, Tenth Revision, Clinical Modification codes. Odds ratios and 95% CIs were calculated using conditional logistic regression. RESULTS: Among 90 592 hospitalized patients with ischemic stroke, 5230 (5.8%) had an ED treat-and-release visit for a fall within 180 days before their stroke. Patients with an ED treat-and-release visit for a fall were older (mean age, 74.7 [SD, 14.6] versus 70.8 [SD, 15.1] years), more often female (61.9% versus 53.4%), and had higher rates of vascular comorbidities than other patients with stroke. ED treat-and-release visits for a fall were significantly more common in the 15 days before stroke compared with the 15-day control period 1 year earlier (odds ratio, 2.7 [95% CI, 2.4-3.1]). The association between stroke and a preceding ED treat-and-release visit for a fall decreased in magnitude with increasing temporal distance from stroke. CONCLUSIONS: ED treat-and-release visits for a fall are associated with significantly increased short-term ischemic stroke risk. These visits may be opportunities to improve stroke diagnostic accuracy and treatment in the ED.

One-year transplant-free survival following hospital discharge after ICU admission for ACLF in the Netherlands.

BACKGROUND & AIMS: Patients with acute decompensation of cirrhosis or acute-on-chronic liver failure (ACLF) often require intensive care unit (ICU) admission for organ support. Existing research, mostly from specialized liver transplant centers, largely addresses short-term outcomes. Our aim was to evaluate in-hospital mortality and 1-year transplant-free survival after hospital discharge in the Netherlands. METHODS: We conducted a nationwide observational cohort study, including patients with a history of cirrhosis or first complications of cirrhotic portal hypertension admitted to ICUs in the Netherlands between 2012 and 2020. The influence of ACLF grade at ICU admission on 1-year transplant-free survival after hospital discharge among hospital survivors was evaluated using unadjusted Kaplan-Meier survival curves and an adjusted Cox proportional hazard model. RESULTS: Out of the 3,035 patients, 1,819 (59.9%) had ACLF-3. 1,420 patients (46.8%) survived hospitalization after ICU admission. The overall probability of 1-year transplant-free survival after hospital discharge was 0.61 (95% CI 0.59-0.64). This rate varied with ACLF grade at ICU admission, being highest in patients without ACLF (0.71; 95% CI 0.66-0.76) and lowest in those with ACLF-3 (0.53 [95% CI 0.49-0.58]) (log-rank p <0.0001). However, after adjusting for age, malignancy status and MELD score, ACLF grade at ICU admission was not associated with an increased risk of liver transplantation or death within 1 year after hospital discharge. CONCLUSION: In this nationwide cohort study, ACLF grade at ICU admission did not independently affect 1-year transplant-free survival after hospital discharge. Instead, age, presence of malignancy and the severity of liver disease played a more prominent role in influencing transplant-free survival after hospital discharge. IMPACT AND IMPLICATIONS: Patients with acute-on-chronic liver failure often require intensive care unit (ICU) admission for organ support. In these patients, short-term mortality is high, but long-term outcomes of survivors remain unknown. Using a large nationwide cohort of ICU patients, we discovered that the severity of acute-on-chronic liver failure at ICU admission does not influence 1-year transplant-free survival after hospital discharge. Instead, age, malignancy status and overall severity of liver disease are more critical factors in determining their long-term survival.

Resource and Service Use after Discharge Among Infants 22-25 Weeks Estimated Gestational Age at the First High-Risk Infant Follow-Up Visit in California.

OBJECTIVE: To examine resource and service use after discharge among infants born extraordinarily preterm in California who attended high-risk infant follow-up (HRIF) clinic by 12 months corrected age. STUDY DESIGN: We included infants born 2010-2017 between 22 + 0/7 and 25 + 6/7 weeks' gestational age in the California Perinatal Quality Care Collaborative and California Perinatal Quality Care Collaborative-California Children's Services HRIF databases. We evaluated rates of hospitalization, surgeries, medications, equipment, medical service and special service use, and referrals. We examined factors associated with receiving ≥ 2 medical services, and ≥ 1 special service. RESULTS: A total of 3941 of 5284 infants received a HRIF visit by 12 months corrected age. Infants born at earlier gestational ages used more medications, equipment, medical services, and special services and had higher rates of referral to medical and special services at the first HRIF visit. Infants with major morbidity, surgery, caregiver concerns, and mothers with more years of education had higher odds of receiving ≥ 2 medical services. Infants with Black maternal race, younger maternal age, female sex, and discharge from lower level neonatal intensive care units (NICUs) had lower odds of receiving ≥ 2 medical services. Infants with more educated mothers, multiple gestation, major morbidity, surgery, caregiver concerns, and discharge from lower level NICUs had increased odds of receiving a special service. CONCLUSIONS: Infants born extraordinarily preterm have substantial resource use after discharge. High resource utilization was associated with maternal/sociodemographic factors and expected clinical factors. Early functional and service use information is valuable to parents and underscores the need for NICU providers to appropriately prepare and refer families.

Derivation and Internal Validation of a Novel Risk Assessment Tool to Identify Infants and Young Children at Risk for Post-Discharge Mortality in Dar es Salaam, Tanzania and Monrovia, Liberia.

OBJECTIVE: To derive and validate internally a novel risk assessment tool to identify young children at risk for all-cause mortality ≤60 days of discharge from hospitals in sub-Saharan Africa. STUDY DESIGN: We performed a prospective observational cohort study of children aged 1-59 months discharged from Muhimbili National Hospital in Dar es Salaam, Tanzania and John F. Kennedy Medical Center in Monrovia, Liberia (2019-2022). Caregivers received telephone calls up to 60 days after discharge to ascertain participant vital status. We collected socioeconomic, demographic, clinical, and anthropometric data during hospitalization. Candidate variables with P < .20 in bivariate analyses were included in a multivariable logistic regression model with best subset selection to identify risk factors for the outcome. We internally validated our tool using bootstrapping with 500 repetitions. RESULTS: There were 1933 young children enrolled in the study. The median (IQR) age was 11 (4, 23) months and 58.7% were males. In total, 67 (3.5%) died during follow-up. Ten variables contributed to our tool (total possible score 82). Cancer (aOR 10.6, 95% CI 2.58, 34.6), pedal edema (aOR 6.94, 95% CI 1.69, 22.6), and leaving against medical advice (aOR 6.46, 95% CI 2.46, 15.3) were most predictive of post-discharge mortality. Our risk assessment tool demonstrated good discriminatory value (optimism corrected area under the receiver operating characteristic curve 0.77), high precision, and sufficient calibration. CONCLUSIONS: After validation, this tool may be used to identify young children at risk for post-discharge mortality to direct resources for follow-up of high-risk children.

Identifying Newborns with Hypoxic-Ischemic Encephalopathy in Hospital Discharge Data: A Validation Study.

Hospital discharge databases (HDDs) are increasingly used for research on health of newborns. Linkage between a French population-based cohort of newborns with hypoxic-ischemic encephalopathy (HIE) and national HDD showed that the HIE ICD-10 code was not accurately reported. Our results suggest that HDD should not be used for research on neonatal HIE without prior validation of HIE ICD-10 codes.

Readmission After Neonatal Intensive Care Unit Discharge: The Importance of Social Drivers of Health.

OBJECTIVE: To determine associations between sociodemographic and medical factors and odds of readmission after discharge from the neonatal intensive care unit for infants with very low birth weight (<1500g). STUDY DESIGN: Cohort study using linked data from the California Perinatal Quality Care Collaborative, California Vital Statistics, and the Child Opportunity Index (COI) 2.0. Infants with very low birth weight born from 2009 through 2018 in California were considered. Odds ratios of readmission within 30 days of discharge adjusting for infant medical factors, maternal sociodemographic factors, and birth hospital were calculated via multivariable logistic regression and fixed-effect logistic regression models. RESULTS: A total of 42 411 infants met inclusion criteria. Also, 8.5% of all infants were readmitted within 30 days of discharge. In addition to traditional medical risk factors, two sociodemographic factors were significantly associated with increased odds of readmission in adjusted models: payor other than private insurance for delivery [aOR = 1.25 (95% CI 1.14-1.36)] and maternal education of less than high school degree [aOR = 1.19 (95% CI 1.06-1.33)]. Neighborhood Child Opportunity Index was not associated with odds of readmission. CONCLUSIONS: Sociodemographic factors, including lack of private insurance and lower maternal educational attainment, are significantly and independently associated with increased odds of readmission after neonatal intensive care unit discharge, in addition to traditional medical risk factors. Socioeconomic deprivation and health literacy may contribute to risk of readmission. Targeted discharge interventions focused on addressing social drivers of health warrant exploration.

Quantitative Analysis of Characteristics Associated with Patient-Directed Discharges, Representations, and Readmissions: a Safety-Net Hospital Experience.

BACKGROUND: No clinical tools currently exist to stratify patients' risks of patient-directed discharge (PDD). OBJECTIVE: This study aims to identify trends and factors associated with PDD, representation, and readmission. DESIGN: This was an IRB-approved, single-centered, retrospective study. PARTICIPANTS: Patients aged > 18, admitted to medicine service, were included from January 1st through December 31st, 2019. Patients admitted to ICU or surgical services were excluded. MAIN MEASURES: Demographics, insurance information, medical history, social history, rates of events occurrences, and discharge disposition were obtained. KEY RESULTS: Of the 16,889 encounters, there were 776 (4.6%) PDDs, 4312 (25.5%) representations, and 2924 (17.3%) readmissions. Of those who completed PDDs, 42.1% represented and 26.4% were readmitted. Male sex, age ≤ 45, insurance type, homelessness, and substance use disorders had higher rates of PDD (OR = 2.0; 4.2; 4.5; 6.2; 5.2; p < 0.0001, respectively). Patients with homelessness, substance use disorders, mental health disorders, or prior history of PDD were more likely to represent (OR = 3.6; 2.0; 2.0; 1.5; p < 0.0001, respectively) and be readmitted (OR = 2.2; 1.6; 1.9; 1.5; p < 0.0001, respectively). Patients aged 30-35 had the highest PDD rate at 16%, but this was not associated with representations or readmissions. Between July and September, the PDD rate peaked at 5.5% and similarly representation and readmission rates followed. The rates of subsequent readmissions after PDDs were nearly two-fold compared to non-PDD patients in later half of the year. 51% of all subsequent readmissions occur within 7 days of PDD, compared to 34% in the non-PDD group (OR = 2.0; p < 0.0001). Patients with primary diagnosis of abscess had 16% PDDs. CONCLUSIONS: Factors associated with PDD include male, younger age, insurance type, substance use, homelessness, and primary diagnosis of abscess. Factors associated with representation and readmission are homelessness, substance use disorders, mental health disorders, and prior history of PDD. Further research is needed to develop a risk stratification tool to identify at-risk patients.

Can Timely Outpatient Visits Reduce Readmissions and Mortality Among Heart Failure Patients?

BACKGROUND: Outpatient follow-up after a hospital discharge may reduce the risk of readmissions, but existing evidence has methodological limitations. OBJECTIVES: To assess effect of outpatient follow-up within 7, 14, 21 and 30 days of a hospital discharge on 30-day unplanned readmissions or mortality among heart failure (HF) patients; and whether this varies for patients with different clinical complexities. DESIGN: We analyzed medical records between January 2016 and December 2021 from a prospective cohort study. Using time varying mixed effects parametric survival models, we examined the association between not having an outpatient follow-up and risk of adverse events. We used interaction models to assess if the effect of outpatient follow-up visit on outcomes varies with patients' clinical complexity (comorbidities, grip strength, cognitive impairment and length of inpatient stay). PARTICIPANTS: Two hundred and forty-one patients with advanced HF. MAIN MEASURES: 30-day all-cause (or cardiac) adverse event defined as all cause (or cardiac) unplanned readmissions or death within 30 days of an unplanned all-cause (or cardiac) admission or emergency department visit. KEY RESULTS: We analyzed 1595 all-cause admissions, inclusive of 1266 cardiac admissions. Not having an outpatient follow-up (vs having an outpatient follow-up) significantly increased the risk of 30-day all-cause adverse event. (risk [95% CI] - 14 days: 35.1 [84.5,-1.1]; 21 days: 43.9 [48.2,6.7]; 30 days: 31.1 [48.5, 7.9]) The risk (at 21 days) was higher for those with one co-morbidity (0.25 [0.11,0.58]), mild (0.67 [0.45, 1.00]) and moderate cognitive impairment (0.38 [0.17, 0.84]), normal grip strength (0.57 [0.34, 0.96]) and length of inpatient stay 7-13 days (0.45 [0.23, 0.89]). CONCLUSION: Outpatient follow-up within 30 days after a hospital discharge reduced risk of 30-day adverse events among HF patients, the benefit varying according to clinical complexity. Results suggest the need to prioritize patients who benefit from outpatient follow-up for these visits.

Differences in Primary Care Follow-up After Acute Care Discharge Within and Across Health Systems: a Retrospective Cohort Study.

BACKGROUND: Timely primary care follow-up after acute care discharge may improve outcomes. OBJECTIVE: To evaluate whether post-discharge follow-up rates differ among patients discharged from hospitals directly affiliated with their primary care clinic (same-site), other hospitals within their health system (same-system), and hospitals outside their health system (outside-system). DESIGN: Retrospective cohort study. PATIENTS: Adult patients of five primary care clinics within a 14-hospital health system who were discharged home after a hospitalization or emergency department (ED) stay. MAIN MEASURES: Primary care visit within 14 days of discharge. A multivariable Poisson regression model was used to estimate adjusted rate ratios (aRRs) and risk differences (aRDs), controlling for sociodemographics, acute visit characteristics, and clinic characteristics. KEY RESULTS: The study included 14,310 discharges (mean age 58.4 [SD 19.0], 59.5% female, 59.5% White, 30.3% Black), of which 57.7% were from the same-site, 14.3% same-system, and 27.9% outside-system. By 14 days, 34.5% of patients discharged from the same-site hospital received primary care follow-up compared to 27.7% of same-system discharges (aRR 0.88, 95% CI 0.79 to 0.98; aRD - 6.5 percentage points (pp), 95% CI - 11.6 to - 1.5) and 20.9% of outside-system discharges (aRR 0.77, 95% CI [0.70 to 0.85]; aRD - 11.9 pp, 95% CI - 16.2 to - 7.7). Differences were greater for hospital discharges than ED discharges (e.g., aRD between same-site and outside-system - 13.5 pp [95% CI, - 20.8 to - 8.3] for hospital discharges and - 10.1 pp [95% CI, - 15.2 to - 5.0] for ED discharges). CONCLUSIONS: Patients discharged from a hospital closely affiliated with their primary care clinic were more likely to receive timely follow-up than those discharged from other hospitals within and outside their health system. Improving care transitions requires coordination across both care settings and health systems.

Racial and Ethnic Disparities in Opioid Prescribing on Hospital Discharge Among Older Adults: A National Retrospective Cohort Study.

BACKGROUND: Disparities in opioid prescribing among racial and ethnic groups have been observed in outpatient and emergency department settings, but it is unknown whether similar disparities exist at discharge among hospitalized older adults. OBJECTIVE: To determine filled opioid prescription rates on hospital discharge by race/ethnicity among Medicare beneficiaries. DESIGN: Retrospective cohort study. PARTICIPANTS: Medicare beneficiaries 65 years or older discharged from hospital in 2016, without opioid fills in the 90 days prior to hospitalization (opioid-naïve). MAIN MEASURES: Race/ethnicity was categorized by the Research Triangle Institute (RTI), grouped as Asian/Pacific Islander, Black, Hispanic, other (American Indian/Alaska Native/unknown/other), and White. The primary outcome was an opioid prescription claim within 2 days of hospital discharge. The secondary outcome was total morphine milligram equivalents (MMEs) among adults with a filled opioid prescription. KEY RESULTS: Among 316,039 previously opioid-naïve beneficiaries (mean age, 76.8 years; 56.2% female), 49,131 (15.5%) filled an opioid prescription within 2 days of hospital discharge. After adjustment, Black beneficiaries were 6% less likely (relative risk [RR] 0.94, 95% CI 0.91-0.97) and Asian/Pacific Islander beneficiaries were 9% more likely (RR 1.09, 95% CI 1.03-1.14) to have filled an opioid prescription when compared to White beneficiaries. Among beneficiaries with a filled opioid prescription, mean total MMEs were lower among Black (356.9; adjusted difference - 4%, 95% CI - 7 to - 1%), Hispanic (327.0; adjusted difference - 7%, 95% CI - 10 to - 4%), and Asian/Pacific Islander (328.2; adjusted difference - 8%, 95% CI - 12 to - 4%) beneficiaries when compared to White beneficiaries (409.7). CONCLUSIONS AND RELEVANCE: Black older adults were less likely to fill a new opioid prescription after hospital discharge when compared to White older adults and received lower total MMEs. The factors contributing to these differential prescribing patterns should be investigated further.

Hospital and post-discharge mortality in COVID-19 patients with a preexisting cancer diagnosis in Iran.

BACKGROUND: Despite the severe impact of COVID-19 on cancer patients, data on COVID-19 outcomes in cancer patients from low- and middle-income countries is limited. We conducted a large study about the mortality rate of COVID-19 in cancer patients in Iran. METHODS: We analyzed data from 1,079 cancer (average age: 58.2 years) and 5,514 non-cancer patients (average age: 57.2 years) who were admitted for COVID-19 in two referral hospitals between March 2019 and August 2021. Patients were followed up until death or 31st August 2021. Multiple logistic regression models estimated the odds ratio (OR) and 95% confidence intervals (CI) of factors associated with ICU admission and intubation. The Cox regression model estimated hazard ratios (HRs) and 95% CI of factors associated with hospital and post-discharge 60-day mortalities. RESULTS: The cancer patients had higher ICU admission (OR = 1.65, 95% CI: 1.42-1.91; P-value 0.03) and intubation (OR = 3.13, 95% CI = 2.63-3.73, P-value < 0.001) than non-cancer patients. Moreover, hospital mortality was significantly higher in cancer patients than in non-cancer patients (HR = 2.12, 95% CI: 1.89-2.41, P-value < 0.001). HR for the post-discharge mortality was higher in these patients (HR = 2.79, 95% CI: 2.49-3.11, < 0.001). The hospital, comorbidities, low oxygen saturation, being on active treatment, and non-solid tumor were significantly associated with ICU admission (P-value < 0.05) in cancer patients, while only low oxygen saturation was associated with intubation. In addition, we found that old age, females, low oxygen saturation level, active treatment, and having a metastatic tumor were associated with death due to COVID-19 (P-value < 0.05). Only lung cancer patients had a significantly higher risk of death compared to other cancer types (HR = 1.50, 95% CI: 1.06-2.10, P-value = 0.02). CONCLUSION: Cancer patients are at a higher risk of ICU admission, intubation, and death due to COVID-19 than non-cancer patients. Therefore, cancer patients who are infected with COVID-19 require intensive care in the hospital and active monitoring after their discharge from the hospital.

Insurance-based Disparities in Outcomes and Extracorporeal Membrane Oxygenation Utilization for Hospitalized COVID-19 Patients.

BACKGROUND: The objective of this study was to examine insurance-based disparities in mortality, nonhome discharges, and extracorporeal membrane oxygenation utilization in patients hospitalized with COVID-19. METHODS: Using a national database of U.S. academic medical centers and their affiliated hospitals, the risk-adjusted association between mortality, nonhome discharge, and extracorporeal membrane oxygenation utilization and (1) the type of insurance coverage (private insurance, Medicare, dual enrollment in Medicare and Medicaid, and no insurance) and (2) the weekly hospital COVID-19 burden (0 to 5.0%; 5.1 to 10%, 10.1 to 20%, 20.1 to 30%, and 30.1% and greater) was evaluated. Modeling was expanded to include an interaction between payer status and the weekly hospital COVID-19 burden to examine whether the lack of private insurance was associated with increases in disparities as the COVID-19 burden increased. RESULTS: Among 760,846 patients hospitalized with COVID-19, 214,992 had private insurance, 318,624 had Medicare, 96,192 were dually enrolled in Medicare and Medicaid, 107,548 had Medicaid, and 23,560 had no insurance. Overall, 76,250 died, 211,702 had nonhome discharges, 75,703 were mechanically ventilated, and 2,642 underwent extracorporeal membrane oxygenation. The adjusted odds of death were higher in patients with Medicare (adjusted odds ratio, 1.28 [95% CI, 1.21 to 1.35]; P < 0.0005), dually enrolled (adjusted odds ratio, 1.39 [95% CI, 1.30 to 1.50]; P < 0.0005), Medicaid (adjusted odds ratio, 1.28 [95% CI, 1.20 to 1.36]; P < 0.0005), and no insurance (adjusted odds ratio, 1.43 [95% CI, 1.26 to 1.62]; P < 0.0005) compared to patients with private insurance. Patients with Medicare (adjusted odds ratio, 0.47; [95% CI, 0.39 to 0.58]; P < 0.0005), dually enrolled (adjusted odds ratio, 0.32 [95% CI, 0.24 to 0.43]; P < 0.0005), Medicaid (adjusted odds ratio, 0.70 [95% CI, 0.62 to 0.79]; P < 0.0005), and no insurance (adjusted odds ratio, 0.40 [95% CI, 0.29 to 0.56]; P < 0.001) were less likely to be placed on extracorporeal membrane oxygenation than patients with private insurance. Mortality, nonhome discharges, and extracorporeal membrane oxygenation utilization did not change significantly more in patients with private insurance compared to patients without private insurance as the COVID-19 burden increased. CONCLUSIONS: Among patients with COVID-19, insurance-based disparities in mortality, nonhome discharges, and extracorporeal membrane oxygenation utilization were substantial, but these disparities did not increase as the hospital COVID-19 burden increased.

Risk of postpartum readmission after hypertensive disorder of pregnancy and variation by discharge antihypertensive medication prescription.

BACKGROUND: Patients with hypertensive disorders of pregnancy have a high rate of postpartum readmission. OBJECTIVE: This study aimed to evaluate whether the type of antihypertensive medication prescribed at discharge was associated with postpartum readmission after a hypertensive disorder of pregnancy. STUDY DESIGN: This was a retrospective cohort study of 57,254 pregnancies complicated by hypertensive disorders of pregnancy between 2012 and 2018 in the electronic obstetrical database of Kaiser Permanente Northern California. Postpartum readmissions occurred within 6 weeks after discharge from delivery hospitalization. Cox regression models were used to evaluate the association between the type of antihypertensive medication prescription at discharge (none, labetalol only, nifedipine only, or 2 or more antihypertensive medications) and postpartum readmission, adjusted for type of hypertensive disorder of pregnancy, final inpatient systolic and diastolic blood pressures, age, body mass index, mode of delivery, insurance status, race and ethnicity, delivery facility, comorbidity score, smoking, preterm delivery, parity, and Neighborhood Deprivation Index. RESULTS: Among eligible patients with a hypertensive disorder of pregnancy, 1696 (3.0%) were readmitted within 6 weeks. Approximately 86% of patients were discharged without a prescription for antihypertensive medication; among those discharged with a prescription for antihypertensive medication, most were prescribed either labetalol only (54%) or nifedipine only (30%). The unadjusted readmission risk was the highest for patients discharged with a prescription for labetalol only (7.6%), lower for those discharged with a prescription for nifedipine only (3.6%) or 2 or more antihypertensive medications (3.2%), and the lowest for those discharged without a prescription for antihypertensive medication (2.5%). In the adjusted models, compared with discharge without a prescription for antihypertensive medication, discharge with a prescription for labetalol only was associated with a 63% (hazard ratio, 1.63; 95% confidence interval, 1.41-1.88) greater incidence of postpartum readmission, and discharge with a prescription for nifedipine only and discharge with a prescription for 2 or more antihypertensive medications were associated with 26% (hazard ratio, 0.74; 95% confidence interval, 0.59-0.93) and 47% (hazard ratio, 0.53; 95% confidence interval, 0.38-0.74) lower incidence of postpartum readmission, respectively. There was no strong evidence to suggest that the effect of the type of antihypertensive medication at discharge on the incidence of readmission varied by race and ethnicity (interaction P=.88). The results indicating an elevated risk associated with labetalol use were consistent in models that excluded patients with prepregnancy hypertension. CONCLUSION: Discharge with a prescription for nifedipine alone or multiple antihypertensive medications (vs no medication) was associated with a lower incidence of readmission, whereas discharge with a prescription for labetalol alone was associated with an elevated readmission incidence. A large-scale, prospective research to compare the effectiveness of commonly prescribed hypertension medications at discharge is warranted.

Care Patterns and Barriers to Outpatient Care for Adults With AML Following Intensive Chemotherapy at NCCN Member Institutions.

BACKGROUND: Prolonged hospitalization following intensive (re)induction chemotherapy for acute myeloid leukemia (AML), while standard, is costly and resource intense, limits inpatient bed capacity, and negatively impacts quality of life. Early hospital discharge (EHD) following completion of chemotherapy has proven safe as an alternative at select institutions, but is not widely implemented. PATIENTS AND METHODS: From February 2023 through May 2023, the NCCN Best Practices Committee conducted a survey evaluating AML hospitalization patterns, care models, and barriers to EHD at its 33 member institutions. RESULTS: A total of 30 (91%) institutions completed the survey; two-thirds treat >100 patients with AML annually and 45% treat more than half of these with intensive chemotherapy. In the (re)induction setting, 80% of institutions keep patients hospitalized until blood count recovery, whereas 20% aim to discharge patients after completion of chemotherapy if medically stable and logistically feasible. The predominant reasons for the perceived need for ongoing hospitalization were high risk of infection, treatment toxicities, and lack of nearby/accessible housing. There was no significant association between ability to practice EHD and annual AML volume or treatment intensity patterns (P=.60 and P=.11, respectively). In contrast, in the postremission setting, 87% of centers support patients following chemotherapy in the outpatient setting unless toxicities arise requiring readmission. Survey responses showed that 80% of centers were interested in exploring EHD after (re)induction but noted significant barriers, including accessible housing (71%), transportation (50%), high toxicity/infection rate (50%), high transfusion burden (50%), and limited bed availability for rehospitalization (50%). CONCLUSIONS: Hospitalization and care patterns following intensive AML therapy vary widely across major US cancer institutions. Although only 20% of surveyed centers practice EHD following intensive (re)induction chemotherapy, 87% do so following postremission therapy. Given the interest in exploring the EHD approach given potential advantages of EHD for both patients and health care systems, strategies to address identified medical and logistical barriers should be explored.

Frailty in intracranial meningioma resection: the risk analysis index demonstrates strong discrimination for predicting non-home discharge and in-hospital mortality.

PURPOSE: Frailty is an independent risk factor for adverse postoperative outcomes following intracranial meningioma resection (IMR). The role of the Risk Analysis Index (RAI) in predicting postoperative outcomes following IMR is nascent but may inform preoperative patient selection and surgical planning. METHODS: IMR patients from the Nationwide Inpatient Sample were identified using diagnostic and procedural codes (2019-2020). The relationship between preoperative RAI-measured frailty and primary outcomes (non-home discharge (NHD), in-hospital mortality) and secondary outcomes (extended length of stay (eLOS), complication rates) was assessed via multivariate analyses. The discriminatory accuracy of the RAI for primary outcomes was measured in area under the receiver operating characteristic (AUROC) curve analysis. RESULTS: A total of 23,230 IMR patients (mean age = 59) were identified, with frailty statuses stratified by RAI score: 0-20 "robust" (R)(N = 10,665, 45.9%), 21-30 "normal" (N)(N = 8,895, 38.3%), 31-40 "frail" (F)(N = 2,605, 11.2%), and 41+ "very frail" (VF)(N = 1,065, 4.6%). Rates of NHD (R 11.5%, N 29.7%, F 60.8%, VF 61.5%), in-hospital mortality (R 0.5%, N 1.8%, F 3.8%, VF 7.0%), eLOS (R 13.2%, N 21.5%, F 40.9%, VF 46.0%), and complications (R 7.5%, N 11.6%, F 15.7%, VF 16.0%) significantly increased with increasing frailty thresholds (p < 0.001). The RAI demonstrated strong discrimination for NHD (C-statistic: 0.755) and in-hospital mortality (C-statistic: 0.754) in AUROC curve analysis. CONCLUSION: Increasing RAI-measured frailty is significantly associated with increased complication rates, eLOS, NHD, and in-hospital mortality following IMR. The RAI demonstrates strong discrimination for predicting NHD and in-hospital mortality following IMR, and may aid in preoperative risk stratification.

Perceived barriers and opportunities for the introduction of post-discharge malaria chemoprevention (PDMC) in five sub-Saharan countries: a qualitative survey amongst malaria key stakeholders.

BACKGROUND: Post-discharge malaria chemoprevention (PDMC) is an intervention aimed at reducing morbidity and mortality in patients hospitalized with severe anaemia, with its effectiveness established in several clinical trials. The aim of this study was to better understand factors that would influence the scale up of this intervention, and to identify preferences for two delivery mechanisms, facility-based or community-based. METHODS: Forty-six qualitative individual interviews were conducted in five sub-Saharan countries amongst malaria key opinion leaders and national decision makers. Findings were analysed following a thematic inductive approach. RESULTS: Half of participants were familiar with PDMC, with a satisfactory understanding of the intervention. Although PDMC was perceived as beneficial by most respondents, there was some unclarity on the target population. Both delivery approaches were perceived as valuable and potentially complementary. From an adoption perspective, relevant evidence generation, favorable policy environment, and committed funding were identified as key elements for the scale up of PDMC. CONCLUSIONS: The findings suggest that although PDMC was perceived as a relevant tool to prevent malaria, further clarification was needed in terms of the relevant patient population, delivery mechanisms, and more evidence should be generated from implementation research to ensure policy adoption and funding.

Ileocolic Intussusception: Iterative Quality Improvement to Address a Recurring Problem.

INTRODUCTION: Recent quality improvement (QI) initiatives indicate that pediatric patients with uncomplicated ileocolic intussusception can be safely discharged from the emergency department (ED) after fluoroscopic reduction. These programs improve patient experience and reduce cost. We sought to build on these efforts by developing a QI initiative at our own institution that included patients transferred from a satellite campus and focused on iterative improvement of our treatment pathway based on continual reassessment of our processes and data. MATERIALS AND METHODS: We formed a multidisciplinary team, established a collaborative open-access clinical pathway, and implemented educational plans for each participating division. Data were tracked prospectively, and process adjustments were made as clinically indicated. In this report, we compare patients treated before and after the QI initiative. RESULTS: There were 155 patients treated before the QI initiative (January 1, 2018-June 30, 2022) and 87 after the initiative began (July 1, 2022-October 31, 2023). There were significant improvements in the rate of ED discharge (4/155 (2.6%) versus 51/87 (59%), P < 0.001) and mean time to discharge (40.7 versus 23.1 h, P = 0.002), while the average cost of a visit fell by 30% (P = 0.012). The mean time to discharge from the ED increased (6.9 versus 11.0 h, P < 0.001), and the rate of readmission was unchanged. For patients transferred from the satellite campus, time to fluoroscopic reduction significantly improved during the initiative (9.4 versus 6.5 h, P = 0.048). CONCLUSIONS: We implemented a QI program for patients with fluoroscopically reduced ileocolic intussusception that was serially adjusted based on continual reassessment of data. The protocol was associated with a decreased admission rate, total cost, and time to hospital discharge.

Discharge to Skilled Nursing Facility Is a Risk Factor for Readmission: A Nationwide Propensity-Matched Study.

INTRODUCTION: General surgery procedures place stress on geriatric patients, and postdischarge care options should be evaluated. We compared the association of discharge to a skilled nursing facility (SNF) versus home on patient readmission. METHODS: We retrospectively reviewed the Nationwide Readmission Database (2016-2019) and included patients ≥65 y who underwent a general surgery procedure between January and September. Our primary outcome was 30-d readmissions. Our secondary outcome was predictors of readmission after discharge to an SNF. We performed a 1:1 propensity-matched analysis adjusting for patient demographics and hospital course to compare patients discharged to an SNF with patients discharged home. We performed a sensitivity analysis on patients undergoing emergency procedures and a stepwise regression to identify predictors of readmission. RESULTS: Among 140,056 included patients, 33,916 (24.2%) were discharged to an SNF. In the matched population of 19,763 pairs, 30-d readmission was higher in patients discharged to an SNF. The most common diagnosis at readmission was sepsis, and a greater proportion of patients discharged to an SNF were readmitted for sepsis. In the sensitivity analysis, emergency surgery patients discharged to an SNF had higher 30-d readmission. Higher illness severity during the index admission and living in a small or fringe county of a large metropolitan area were among the predictors of readmission in patients discharged to an SNF, while high household income was protective. CONCLUSIONS: Discharge to an SNF compared to patients discharged home was associated with a higher readmission. Future studies need to identify the patient and facility factors responsible for this disparity.

Complication Timing, Failure to Rescue, and Readmission After Inpatient Pediatric Surgery.

BACKGROUND: Complications are associated with postoperative mortality and readmission. However, the timing of complications relative to discharge and the extent to which timing is associated with failure to rescue (FTR) and readmission after pediatric surgery is unknown. Our goal was to describe the timing of complications relative to discharge after inpatient pediatric surgery and determine the association between complication timing, FTR, and unplanned readmission. MATERIALS AND METHODS: National cohort study of patients within the NSQIP-Pediatric database who underwent inpatient surgery (2012-2019). Complications were categorized based on when they occurred relative to discharge: only pre-discharge, only post-discharge, both. The association between perioperative outcomes and the timing of postoperative complications was evaluated with multivariable hierarchical regression. RESULTS: Among 378,551 patients, 30,213 (8.0%) had at least one postoperative complication. Relative to patients with pre-discharge complications, post-discharge complications were associated with significantly decreased odds of FTR (odds ratio 0.21, 95% confidence interval [0.15-0.28]) and significantly increased odds of readmission (odds ratio 19.37 [17.93-20.92]). Odds of FTR and readmission in patients with complications occurring both before and after discharge were similar to that of patients with only post-discharge complications. CONCLUSIONS: FTR and readmission are associated with complications occurring at different times relative to discharge (FTR primarily pre-discharge; readmission primarily post-discharge). This suggests a 'one size fits all' approach to surgical quality improvement may not be effective and different approaches are needed to address different quality indicators.