Insurance status and the transfer of hospitalized patients: an observational study

Identifying opportunities for community EMS fall prevention

BACKGROUND

Falls are a leading cause of morbidity and mortality among older adults in the United States. Current fall prevention interventions rely on provider referral or enrollment during inpatient admissions and require engagement and independence of the patient. Community emergency medical services (CEMS) are a unique opportunity to rapidly identify older adults at risk for falls and provide proactive fall prevention interventions in the home. We describe the demographics and treatment characteristics of the older adult population most likely to benefit from these interventions.

MATERIALS AND METHODS

We linked 2019 Healthcare Cost and Utilization Project Massachusetts State Emergency Department (ED) and State Inpatient Databases with American Hospital Association survey data to query ED encounters and inpatient admissions for adults age ≥55 with ED encounters for fall-related injury between July 1, 2019 and December 31, 2019. Univariable descriptive statistics assessed participant characteristics and bivariable tests of significance compared diagnoses, disposition, and hospital characteristics between older adults with and without an EMS encounter in the six months prior to the presenting fall.

RESULTS

Of 66,027 older adults who presented with a fall to a Massachusetts ED in July-December 2019, 7,942 (11%) had a prior encounter with EMS in the preceding six months, most of which included an injury diagnosis (99%). Compared to older adults without previous EMS encounters, those with previous EMS encounters were more often in poorer health (17% vs. 10% with multiple or complex comorbidities, p < 0.001) and of lower socioeconomic status (12% vs. 8% in lowest neighborhood income quartile, p < 0.001; 10% vs. 6% enrolled in Medicaid, p < 0.001) compared to those without a prior EMS encounter.

CONCLUSIONS

A significant proportion of older adults presenting to the ED with fall related injury have encounters with EMS in the preceding months. These participants are predisposed to poorer health and economic outcomes worsened by their fall and thus demonstrate a population that would benefit from CEMS fall prevention programs.

Insurance-Based Disparities in Stroke Center Access in California: A Network Science Approach

BACKGROUND

Our objectives were to determine whether there is an association between ischemic stroke patient insurance and likelihood of transfer overall and to a stroke center and whether hospital cluster modified the association between insurance and likelihood of stroke center transfer.

METHODS

This retrospective network analysis of California data included every nonfederal hospital ischemic stroke admission from 2010 to 2017. Transfers from an emergency department to another hospital were categorized based on whether the patient was discharged from a stroke center (primary or comprehensive). We used logistic regression models to examine the relationship between insurance (private, Medicare, Medicaid, uninsured) and odds of (1) any transfer among patients initially presenting to nonstroke center hospital emergency departments and (2) transfer to a stroke center among transferred patients. We used a network clustering method to identify clusters of hospitals closely connected through transfers. Within each cluster, we quantified the difference between insurance groups with the highest and lowest proportion of transfers discharged from a stroke center.

RESULTS

Of 332 995 total ischemic stroke encounters, 51% were female, 70% were ≥65 years, and 3.5% were transferred from the initial emergency department. Of 52 316 presenting to a nonstroke center, 3466 (7.1%) were transferred. Relative to privately insured patients, there were lower odds of transfer and of transfer to a stroke center among all groups (Medicare odds ratio, 0.24 [95% CI, 0.22-0.26] and 0.59 [95% CI, 0.50-0.71], Medicaid odds ratio, 0.26 [95% CI, 0.23-0.29] and odds ratio, 0.49 [95% CI, 0.38-0.62], uninsured odds ratio, 0.75 [95% CI, 0.63-0.89], and 0.72 [95% CI, 0.6-0.8], respectively). Among the 14 identified hospital clusters, insurance-based disparities in transfer varied and the lowest performing cluster (also the largest; n=2364 transfers) fully explained the insurance-based disparity in odds of stroke center transfer.

CONCLUSIONS

Uninsured patients had less stroke center access through transfer than patients with insurance. This difference was largely explained by patterns in 1 particular hospital cluster.

Disparities in Adult Patient Selection for Extracorporeal Membrane Oxygenation in the United States: A Population-Level Study

Rationale: Disparities in patient selection for advanced therapeutics in health care have been identified in multiple studies, but it is unclear if disparities exist in patient selection for extracorporeal membrane oxygenation (ECMO), a rapidly expanding critical care resource. Objectives: To determine if disparities exist in patient selection for ECMO based on sex, primary insurance, and median income of the patient's neighborhood. Methods: In a retrospective cohort study using the Nationwide Readmissions Database 2016-2019, we identified patients treated with mechanical ventilation (MV) and/or ECMO with billing codes. Patient sex, insurance, and income level for patients receiving ECMO were compared with the patients treated with MV only, and hierarchical logistic regression with the hospital as a random intercept was used to determine odds of receiving ECMO based on patient demographics. Results: We identified 2,170,752 MV hospitalizations with 18,725 cases of ECMO. Among patients treated with ECMO, 36.1% were female compared with 44.5% of patients treated with> MV only (adjusted odds ratio [aOR] for ECMO, 0.73; 95% confidence interval [CI], 0.70-0.75). Of patients treated with ECMO, 38.1% had private insurance compared with 17.4% of patients treated with MV only. Patients with Medicaid were less likely to receive ECMO than patients with private insurance (aOR, 0.55; 95% CI, 0.52-0.57). Patients treated with ECMO were more likely to live in the highest-income neighborhoods compared with patients treated with MV only (25.1% vs. 17.3%). Patients living in the lowest-income neighborhoods were less likely to receive ECMO than those living in the highest-income neighborhoods (aOR, 0.63; 95% CI, 0.60-0.67). Conclusions: Significant disparities exist in patient selection for ECMO. Female patients, patients with Medicaid, and patients living in the lowest-income neighborhoods are less likely to be treated with ECMO. Despite possible unmeasured confounding, these findings were robust to multiple sensitivity analyses. On the basis of previous work describing disparities in other areas of health care, we speculate that limited access in some neighborhoods, restrictive/biased interhospital transfer practices, differences in patient preferences, and implicit provider bias may contribute to the observed differences. Future studies with more granular data are needed to identify and modify drivers of observed disparities.

Outcomes for patients with dementia undergoing emergency and elective colorectal surgery: A large multi-institutional comparative cohort study

BACKGROUND

Alzheimer's Disease and Related Dementias (ADRD) may result in poor surgical outcomes. The current study aims to characterize the risk of ADRD on outcomes for patients undergoing colorectal surgery.

METHODS

Colorectal surgery patients with and without ADRD from 2007 to 2017 were identified using electronic health record-linked Medicare claims data from two large health systems. Unadjusted and adjusted analyses were performed to evaluate postoperative outcomes.

RESULTS

5926 patients (median age 74) underwent colorectal surgery of whom 4.8% (n = 285) had ADRD. ADRD patients were more likely to undergo emergent operations (27.7% vs. 13.6%, p < 0.001) and be discharged to a facility (49.8% vs 28.9%, p < 0.001). After multi-variable adjustment, ADRD patients were more likely to have complications (61.1% vs 48.3%, p < 0.001) and required longer hospitalization (7.1 vs 6.1 days, p = 0.001).

CONCLUSIONS

The diagnosis of ADRD is an independent risk factor for prolonged hospitalization and postoperative complications after colorectal surgery.

Veno-venous Extracorporeal Membrane Oxygenation for COVID-19: A Call For System-Wide Checks to Ensure Equitable Delivery For All

Extracorporeal membrane oxygenation (ECMO) has emerged in the COVID-19 pandemic as a potentially beneficial yet scare resource for treating critically ill patients, with variable allocation across the United States. The existing literature has not addressed barriers patients may face in access to ECMO as a result of healthcare inequity. We present a novel patient-centered framework of ECMO access, providing evidence for potential bias and opportunities to mitigate this bias at every stage between a marginalized patient's initial presentation to treatment with ECMO. While equitable access to ECMO support is a global challenge, this piece focuses primarily on patients in the United States with severe COVID-19-associated ARDS to draw from current literature on VV-ECMO for ARDS and does not address issues that affect ECMO access on a more international scale.

Systematic Review: Impact of Social Determinants of Health on the Management and Prognosis of Gallstone Disease

Background:

Due to its prevalence, gallstone disease is a major public health issue. It affects diverse patient populations across various socioeconomic levels. Socioeconomic and geographic deprivation may impact both morbidity and mortality associated with digestive diseases, such as biliary tract disease.

Aim:

The aim of this systematic review was to review the available data on the impact of socioeconomic determinants and geographic factors on gallstone disease and its complications.

Methods:

This systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The MEDLINE and Web of Science databases were searched by two investigators to retrieve studies about the impact of income, insurance status, hospital status, education level, living areas, and deprivation indices on gallstone disease. Thirty-seven studies were selected for this review.

Results:

Socially disadvantaged populations appear to be more frequently affected by complicated or severe forms of gallstone disease. The prognosis of biliary tract disease is poor in these populations regardless of patient status, and increased morbidity and mortality were observed for acute cholangitis or subsequent cholecystectomy. Limited or delayed access and low-quality therapeutic interventions could be among the potential causes for this poor prognosis.

Conclusions:

This systematic review suggests that socioeconomic determinants impact the management of gallstone disease. Enhanced knowledge of these parameters could contribute to improved public health policies to manage these diseases.

Relationship between insurance status and interhospital transfers among cancer patients in the United States

Background

The relationship between insurance status and interhospital transfers has not been adequately researched among cancer patients. Hence this study aimed for understanding this relationship using a nationally representative database.

Methods

A retrospective analysis was conducted using National Inpatient Sample (NIS) data collected during 2010–2016 and included all cancer hospitalization between 18 and 64 years of age. Interhospital transfers were compared based on insurance status (Medicare, Medicaid, private, and uninsured). Weighted multivariable logistic regressions were used to calculate the odds of interhospital transfers based on insurance status, after adjusting for many covariates.

Results

There were 3,580,908 weighted cancer hospitalizations, of which 72,353 (2.02%) had interhospital transfers. Uninsured patients had significantly higher rates of interhospital transfers, compared to those with Medicare (P = 0.005) and private insurance (P < 0.001). Privately insured patients had significantly lower rates of interhospital transfers, compared to those with Medicare (P < 0.001) and Medicaid (P < 0.001). Logistic regression analyses showed that the odds of having interhospital transfers were significantly higher among uninsured (adjusted odds ratio [aOR], 1.57, 95% CI: 1.45–1.69), Medicare (aOR, 1.38, 95% CI: 1.32–1.45) and Medicaid (aOR, 1.23, 95% CI: 1.16–1.30) patients when compared to those with private insurance coverages.

Conclusion

Among cancer patients, uninsured and Medicare and Medicaid beneficiaries were more likely to experience interhospital transfers. In addition to medical reasons, factors such as affordability and socioeconomic status are influencing interhospital transfer decisions, indicating existing healthcare disparities. Further studies should focus on identifying the causal associations between factors explored in this study as well as additional unexplored factors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09242-8.

Insurance-based inequities in emergency interhospital transfers: an argument for the prioritisation of patient care

Currently there is an inequity in transfer rates of uninsured patients versus their insured counterparts. While this may vary by hospital system, studies indicate that this is a national trend, especially in emergency situations, and represents a prioritisation of profits over ethical obligations. This creates a variety of ethical issues for patients and society that generates a concordance between deontological and utilitarian viewpoints, two generally opposed schools of thought. The prioritisation of profit maximisation in order to provide better care for a select population is insufficient to justify deleterious health outcomes, stress and financial burden on patients. Current policy regarding patient transfers in the emergency department is insufficient to protect the uninsured and must be reevaluated.

Profiling Pediatric Potentially Avoidable Transfers Using Procedure and Diagnosis Codes

OBJECTIVES

While hospital-hospital transfers of pediatric patients are often necessary, some pediatric transfers are potentially avoidable. Pediatric potentially avoidable transfers (PATs) represent a process with high costs and safety risks but few, if any, benefits. To better understand this issue, we described pediatric interfacility transfers with early discharges.

METHODS

We conducted a descriptive study using electronic medical record data at a single-center over a 12-month period to examine characteristics of pediatric patients with a transfer admission source and early discharge. Among patients with early discharges, we performed descriptive statistics for PATs defined as patient transfers with a discharge home within 24 hours without receiving any specialized procedures or diagnoses.

RESULTS

Of the 2,415 pediatric transfers, 31.4% were discharged home within 24 hours. Among transferred patients with early discharges, 356 patients (14.7% of total patient transfers) received no specialized procedures or diagnoses. Direct admissions were categorized as PATs 1.9-fold more frequently than transfers arriving to the emergency department. Among transferred direct admissions, PAT proportions to the neonatal intensive care unit (ICU), pediatric ICU, and non-ICU were 5.1%, 17.3%, and 27.3%, respectively. Respiratory infections, asthma, and ill-defined conditions (eg, fever, nausea with vomiting) were the most common PAT diagnoses.

CONCLUSIONS

Early discharges and PATs are relatively common among transferred pediatric patients. Further studies are needed to identify the etiologies and clinical impacts of PATs, with a focus on direct admissions given the high frequency of PATs among direct admissions to both the pediatric ICU and non-ICU.

Racial/Ethnic Disparities in Interhospital Transfer for Conditions With a Mortality Benefit to Transfer Among Patients With Medicare

IMPORTANCE

Interhospital transfer (IHT) of patients is a common occurrence in modern health care. Racial/ethnic disparities are prevalent throughout US health care, but their presence in IHT is not well characterized.

OBJECTIVE

To determine if there are racial/ethnic disparities in IHT for medical diagnoses for which IHT is associated with a mortality benefit.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional analysis used 2013 data from the Center for Medicare & Medicaid Services 100% Master Beneficiary Summary and Inpatient Claims merged with 2013 American Hospital Association data. Individuals with Medicare aged 65 years or older continuously enrolled in Medicare Part A and B with an inpatient hospitalization claim in 2013 for primary diagnosis of acute myocardial infarction, stroke, sepsis, or respiratory diseases were included. Data analysis occurred from November 2019 through July 2020.

EXPOSURES

Race/ethnicity.

MAIN OUTCOMES AND MEASURES

The primary outcome of interest was IHT. For the primary analysis, a series of logistic regression models were created to estimate the adjusted odds of IHT for Black and Hispanic patients compared with White patients, controlling for patient clinical and demographic variables and incorporating hospital fixed effects. In secondary analyses, subgroup analyses were conducted by diagnosis, hospital teaching status, and hospitalization to hospitals in the top decile of Black and Hispanic patient proportion.

RESULTS

Among 899 557 patients, 734 958 patients were White (81.7%), 84 544 patients were Black (9.4%), and 47 588 patients were Hispanic (5.3%); there were 418 683 men (46.5%), and 306 215 patients (34.0%) were older than 84 years. The mean (SD) age was 76.8 (7.5) years. Among all patients, 20 171 White patients (2.7%), 1913 Black patients (2.3%), and 1062 Hispanic patients (2.2%) underwent IHT. After controlling for patient variables and hospital fixed effects, Black patients had a persistently lower odds of IHT (adjusted odds ratio, 0.87; 95% CI, 0.81-0.92; P < .001), while Hispanic patients had higher odds of IHT (adjusted odds ratio, 1.14; 95% CI, 1.05-1.24; P = .002) compared with White patients.

CONCLUSIONS AND RELEVANCE

This national evaluation of IHT among patients hospitalized with diagnoses previously found to have mortality benefit with transfer found that, compared with White patients, Black patients had persistently lower adjusted odds of transfer after accounting for patient and hospital characteristics and measured across various hospital settings. Meanwhile, Hispanic patients had higher adjusted odds of transfer. This research highlights the need for the development of strategies to mitigate disparate transfer practices by patient race/ethnicity.

The association of Medicaid expansion and racial/ethnic inequities in access, treatment, and outcomes for patients with acute myocardial infarction

Introduction

After having an acute myocardial infarction (AMI), racial and ethnic minorities have less access to care, decreased rates of invasive treatments such as percutaneous coronary intervention (PCI), and worse outcomes compared with white patients. The objective of this study was to determine whether the Affordable Care Act’s expansion of Medicaid eligibility was associated with changes in racial disparities in access, treatments, and outcomes after AMI.

Methods

Quasi-experimental, difference-in-differences-in-differences analysis of non-Hispanic white and minority patients with acute myocardial infarction in California and Florida from 2010–2015, using linear regression models to estimate the difference-in-differences. This population-based sample included all Medicaid and uninsured patients ages 18–64 hospitalized with acute myocardial infarction in California, which expanded Medicaid through the Affordable Care Act beginning as early as July 2011 in certain counties, and Florida, which did not expand Medicaid. The main outcomes included rates of admission to hospitals capable of performing PCI, rates of transfer for patients who first presented to hospitals that did not perform PCI, rates of PCI during hospitalization and rates of early (within 48 hours of admission) PCI, rates of readmission to the hospital within 30 days, and rates of in-hospital mortality.

Results

A total of 55,991 hospital admissions met inclusion criteria, 32,540 of which were in California and 23,451 were in Florida. Among patients with AMI who initially presented to a non-PCI hospital, the likelihood of being transferred increased by 12 percentage points (95% CI 2 to 21) for minority patients relative to white patients after the Medicaid expansion. The likelihood of undergoing PCI increased by 3 percentage points (95% CI 0 to 5) for minority patients relative to white patients after the Medicaid expansion. We did not find an association between the Medicaid expansion and racial disparities in overall likelihood of admission to a PCI hospital, hospital readmissions, or in-hospital mortality.

Conclusions

The Medicaid expansion was associated with a decrease in racial disparities in transfers and rates of PCI after AMI. We did not find an association between the Medicaid expansion and admission to a PCI hospital, readmissions, and in-hospital mortality. Additional factors outside of insurance coverage likely continue to contribute to disparities in outcomes after AMI. These findings are crucial for policy makers seeking to reduce racial disparities in access, treatment and outcomes in AMI.

Identifying Racial/Ethnic Disparities in Interhospital Transfer: an Observational Study

BACKGROUND

Interhospital transfer (IHT) is often performed to provide patients with specialized care. Racial/ethnic disparities in IHT have been suggested but are not well-characterized.

OBJECTIVE

To evaluate the association between race/ethnicity and IHT.

DESIGN

Cross-sectional analysis of 2016 National Inpatient Sample data.

PATIENTS

Patients aged ≥ 18 years old with common medical diagnoses at transfer, including acute myocardial infarction, congestive heart failure, arrhythmia, stroke, sepsis, pneumonia, and gastrointestinal bleed.

MAIN MEASURES

We performed a series of logistic regression models to estimate adjusted odds of transfer by race/ethnicity controlling for patient demographics, clinical variables, and hospital characteristics and to identify potential mediators. In secondary analyses, we estimated adjusted odds of transfer among patients at community hospitals (those more likely to transfer patients) and performed subgroup analyses by region and primary medical diagnosis.

KEY RESULTS

Of 5,774,175 weighted hospital admissions, 199,015 (4.5%) underwent IHT, including 4.7% of White patients, compared with 3.9% of Black patients and 3.8% of Hispanic patients. Black (OR 0.83, 95% CI 0.78-0.89) and Hispanic (OR 0.81, 95% CI 0.75-0.87) patients had lower crude odds of transfer compared with White patients, but this became non-significant after adjusting for hospital-level characteristics. In secondary analyses among patients hospitalized at community hospitals, Hispanic patients had lower adjusted odds of transfer (aOR 0.89, 95% CI 0.79-0.98). Disparities in IHT by race/ethnicity varied by region and medical diagnosis.

CONCLUSIONS

Black and Hispanic patients had lower odds of IHT, largely explained by a higher likelihood of being hospitalized at urban teaching hospitals. Racial/ethnic disparities in transfer were demonstrated at community hospitals, in certain geographic regions and among patients with specific diseases.

Impact of Patient-Level Characteristics on In-hospital Mortality After Interhospital Transfer to Medicine Services: an Observational Study

BACKGROUND

National administrative datasets have demonstrated increased risk-adjusted mortality among patients undergoing interhospital transfer (IHT) compared to patients admitted through the emergency department (ED).

OBJECTIVE

To investigate the impact of patient-level data not available in larger administrative datasets on the association between IHT status and in-hospital mortality.

DESIGN

Retrospective cohort study with logistic regression analyses to examine the association between IHT status and in-hospital mortality, controlling for covariates that were potential confounders. Model 1: IHT status, admit service. Model 2: model 1 and patient demographics. Model 3: model 2 and disease-specific conditions. Model 4: model 3 and vital signs and laboratory data.

PARTICIPANTS

Nine thousand three hundred twenty-eight adults admitted to Medicine services.

MAIN MEASURES

Interhospital transfer status, coded as an unordered categorical variable (IHT vs ED vs clinic), was the independent variable. The primary outcome was in-hospital mortality. Secondary outcomes included unadjusted length of stay and total cost.

KEY RESULTS

IHT patients accounted for 180 out of 484 (37%) in-hospital deaths, despite accounting for only 17% of total admissions. Unadjusted mean length of stay was 8.4 days vs 5.6 days (p < 0.0001) and mean total cost was $22,647 vs $12,968 (p < 0.0001) for patients admitted via IHT vs ED respectively. The odds ratios (OR) for in-hospital mortality for patients admitted via IHT compared to the ED were as follows: model 1 OR, 2.06 (95% CI 1.66-2.56, p < 0.0001); model 2 OR, 2.07 (95% CI 1.66-2.58, p < 0.0001); model 3 OR, 2.07 (95% CI 1.63-2.61, p < 0.0001); model 4 OR, 1.70 (95% CI 1.31-2.19, p < 0.0001). The AUCs of the models were as follows: model 1, 0.74; model 2, 0.76; model 3, 0.83; model 4, 0.88, consistent with a good prediction model.

CONCLUSIONS

Patient-level characteristics affect the association between IHT and in-hospital mortality. After adjusting for patient-level clinical characteristics, IHT status remains associated with in-hospital mortality.

Factors associated with the inter-facility transfer of inpatients in Sichuan province, China

BACKGROUND

The overuse of tertiary hospitals and underuse of primary care facilities has been one of the key reasons leading to fast health expenditure increase and health service utilization inequity in China. Recent health care reform in China tries to enforce a patient transfer system to make the health services utilization more efficient. This study examined the pattern and associated factors of inter-facility transfer of inpatients in Sichuan province of Western China.

METHODS

Patient discharge records (n = 1,490,695) from 604 general hospitals during the period of April to June 2015 in Sichuan were extracted from the front page of the medical records system with individual information on demographics, insurance coverage, diagnoses, hospitals admitted and discharge type. We calculated the percentage of inpatients transferring to other health facilities, the Inter-Facility Transfer Rate (IFTR) with adjustment for Charlson Comorbidity Index (CCI). Multi-level logistic regression models were established to identify factors associated with IFTRs.

RESULTS

A small number of tertiary hospitals (n = 75, 12.41%) shared 51.71% (n = 770,823) of all admitted cases while a large number of primary/unrated hospitals (n = 321, 53.15%) shared only 8.15%. The overall CCI-adjusted IFTR was 2.08% with 3.73% among secondary hospitals, 1.87% among tertiary hospitals and 1.30% among primary/unrated hospitals. Uninsured patients (OR = 1.13) and those with a lower level of insurance entitlements (OR = 1.12 for the New Rural Cooperative Medical Scheme and the Basic Medical Insurance for Urban Residents) were more likely to experience inter-facility transfer than those with a higher level of insurance entitlements (the Basic Medical Insurance for Urban Employees).

CONCLUSION

The level of IFTR in general hospitals in Sichuan is low, which is associated with the level of hospitals and insurance entitlements. Further studies are needed to better understand how patients and health care providers respond to different insurance policies and make decisions on inter-facility transfer.

Insurance Coverage Predicts Mortality in Patients Transferred Between Hospitals: a Cross-Sectional Study

BACKGROUND

Patients transferred between hospitals are at high risk of adverse events and mortality. The relationship between insurance status, transfer practices, and outcomes has not been definitively characterized.

OBJECTIVE

To identify the association between insurance coverage and mortality of patients transferred between hospitals.

DESIGN

We conducted a single-institution observational study, and validated results using a national administrative database of inter-hospital transfers.

SETTING

Three ICUs at an academic tertiary care center validated by a nationally representative sample of inter-hospital transfers.

PATIENTS

The single-institution analysis included 652 consecutive patients transferred from 57 hospitals between 2011 and 2012. The administrative database included 353,018 patients transferred between 437 hospitals.

MEASUREMENTS

Adjusted inpatient mortality and 24-h mortality, stratified by insurance status.

RESULTS

Of 652 consecutive transfers to three ICUs, we observed that uninsured patients had higher adjusted inpatient mortality (OR 2.67, p = 0.021) when controlling for age, race, gender, Apache-II, and whether the patient was transferred from an ED. Uninsured were more likely to be transferred from ED (OR 2.3, p = 0.026), and earlier in their hospital course (3.9 vs 2.0 days, p = 0.002). Using an administrative dataset, we validated these observations, finding that the uninsured had higher adjusted inpatient mortality (OR 1.24, 95% CI 1.13-1.36, p < 0.001) and higher mortality within 24 h (OR 1.33 95% CI 1.11-1.60, p < 0.002). The increase in mortality was independent of patient demographics, referral patterns, or diagnoses.

LIMITATIONS

This is an observational study where transfer appropriateness cannot be directly assessed.

CONCLUSIONS

Uninsured patients are more likely to be transferred from an ED and have higher mortality. These data suggest factors that drive inter-hospital transfer of uninsured patients have the potential to exacerbate outcome disparities.

Correlation of payor status and pediatric transfer for acute appendicitis

BACKGROUND

Tertiary referral centers provide specialty and critical care for patients presenting to hospitals that lack these resources. There is a notion among tertiary centers that outside hospitals are more likely to transfer uninsured or underinsured patients. We examined funding status of patients transferred to our tertiary pediatric hospital for surgical management of appendicitis, hypothesizing that transferred patients were more likely to have unfavorable coverage.

MATERIALS AND METHODS

The electronic medical record was queried for all cases of laparoscopic appendectomy at our hospital between 2011 and 2015. Insurance was grouped into three categories: commercial, Medicaid/Children's Health Insurance Plan, or none. Transferred patients were compared to patients who presented directly.

RESULTS

A total of 5758 patients underwent laparoscopic appendectomy during the study period, of which 1683 (29.2%) were transfer patients. Transfer patients were more likely to be older, with a median age of 10.5 y versus 9.8 y in nontransferred patients (P ≤ 0.0001), and were more likely to be identified as non-Hispanic (50.0% versus 36.5%; P ≤ 0.0001). Insurance coverage was similar between groups. However, subgroup analysis of the hospitals that most frequently used our transfer services revealed a trend to transfer a higher proportion of Medicaid/Children's Health Insurance Plan patients.

CONCLUSIONS

Overall, pediatric patients transferred for laparoscopic appendectomy had similar insurance coverage to patients admitted directly, but subgroup analysis shows that not all centers follow this trend. Transfer patients were more frequently older and non-Hispanic. This builds upon the existing literature regarding the correlation of funding and transfer practices and highlights the need for additional research in this area.

Constructing Episodes of Inpatient Care: How to Define Hospital Transfer in Hospital Administrative Health Data?

BACKGROUND

Hospital administrative health data create separate records for each hospital stay of patients. Treating a hospital transfer as a readmission could lead to biased results in health service research.

METHODS

This is a cross-sectional study. We used the hospital discharge abstract database in 2013 from Alberta, Canada. Transfer cases were defined by transfer institution code and were used as the reference standard. Four time gaps between 2 hospitalizations (6, 9, 12, and 24 h) and 2 day gaps between hospitalizations [same day (up to 24 h), ≤1 d (up to 48 h)] were used to identify transfer cases. We compared the sensitivity and positive predictive value (PPV) of 6 definitions across different categories of sex, age, and location of residence. Readmission rates within 30 days were compared after episodes of care were defined at the different time gaps.

RESULTS

Among the 6 definitions, sensitivity ranged from 93.3% to 98.7% and PPV ranged from 86.4% to 96%. The time gap of 9 hours had the optimal balance of sensitivity and PPV. The time gaps of same day (up to 24 h) and 9 hours had comparable 30-day readmission rates as the transfer indicator after defining episode of care.

CONCLUSIONS

We recommend the use of a time gap of 9 hours between 2 hospitalizations to define hospital transfer in inpatient databases. When admission or discharge time is not available in the database, a time gap of same day (up to 24 h) can be used to define hospital transfer.

Role of Health Insurance Status in Interfacility Transfers of Patients With ST-Elevation Myocardial Infarction

Lack of health insurance is associated with interfacility transfer from emergency departments for several nonemergent conditions, but its association with transfers for ST-elevation myocardial infarction (STEMI), which requires timely definitive care for optimal outcomes, is unknown. Our objective was to determine whether insurance status is a predictor of interfacility transfer for emergency department visits with STEMI. We analyzed data from the 2006 to 2011 Nationwide Emergency Department Sample examining all emergency department visits for patients age 18 years and older with a diagnosis of STEMI and a disposition of interfacility transfer or hospitalization at the same institution. For emergency department visits with STEMI, our multivariate logistic regression model included emergency department disposition status (interfacility transfer vs hospitalization at the same institution) as the primary outcome, and insurance status (none vs any [including Medicare, Medicaid, and private insurance]) as the primary exposure. We found that among 1,377,827 emergency department STEMI visits, including 249,294 (18.1%) transfers, patients without health insurance (adjusted odds ratio 1.6, 95% CI 1.5 to 1.7) were more likely to be transferred than those with insurance. Lack of health insurance status was also an independent risk factor for transfer compared with each subcategory of health insurance, including Medicare, Medicaid, and private insurance. In conclusion, among patients presenting to United States emergency departments with STEMI, lack of insurance was an independent predictor of interfacility transfer. In conclusion, because interfacility transfer is associated with longer delays to definitive STEMI therapy than treatment at the same facility, lack of health insurance may lead to important health disparities among patients with STEMI.

Profiling Interfacility Transfers for Hospitalized Pediatric Patients

BACKGROUND AND OBJECTIVE

The hospital-to-hospital transfer of pediatric patients is a common practice that is poorly understood. To better understand this practice, we examined a national database to profile pediatric interfacility transfers.

METHODS

We used the 2012 Kids' Inpatient Database to examine characteristics of hospitalized pediatric patients (<21 years; excluding pregnancy diagnoses) with a transfer admission source. We performed descriptive statistics to compare patient characteristics, utilization, and hospital characteristics between those admitted by transfer versus routine admission. We constructed a multivariable logistic regression model to identify patient characteristics associated with being admitted by transfer versus routine admission.

RESULTS

Of the 5.95 million nonpregnancy hospitalizations in the United States in 2012, 4.4% were admitted by transfer from another hospital. Excluding neonatal hospitalizations, this rate increased to 9.4% of the 2.10 million nonneonatal, nonpregnancy hospitalizations. Eighty-six percent of transfers were to urban teaching hospitals. The most common transfer diagnoses to all hospitals nationally were mood disorder (8.9%), other perinatal conditions (8.7%), prematurity (4.8%), asthma (4.2%), and bronchiolitis (3.8%). In adjusted analysis, factors associated with higher odds of being admitted by transfer included having a neonatal principal diagnosis, male gender, white race, nonprivate insurance, rural residence, higher illness severity, and weekend admission.

CONCLUSIONS

Interfacility transfers are relatively common among hospitalized pediatric patients. Higher odds of admission by transfer are associated not only with higher illness severity but also with principal diagnosis, insurance status, and race. Further studies are needed to identify the etiologies and clinical impacts of identified transfer differences.

Interhospital transfer patients discharged by academic hospitalists and general internists: Characteristics and outcomes

BACKGROUND

Prior work suggests interhospital transfer (IHT) may be a risky event. Outcomes for patients transferred from another acute care institution and discharged by hospitalists and general internists at academic health systems are not well described.

OBJECTIVE

Investigate the characteristics and outcomes of IHT patients compared with patients admitted from the emergency department (ED) to academic health systems.

DESIGN

Retrospective cohort study.

SETTING/PATIENTS

A total of 885,392 adult inpatients discharged by hospitalists or general internal medicine physicians from 158 academic medical centers and affiliated hospitals participating in the University HealthSystem Consortium Clinical Database and Resource Manager from April 1, 2011 to March 31, 2012.

METHODS

Patient cohorts were defined by admission source: those from another acute care institution were IHTs, and those coming through the ED whose source of origination was not another hospital or ambulatory surgery site were ED admissions. In-hospital mortality was our primary outcome. We analyzed our data using descriptive statistics, t tests, χ(2) tests, and logistic regression.

RESULTS

Compared with ED admissions, IHT patients had a longer average length of stay, higher proportion of time spent in the intensive care unit, higher costs per hospital day, lower frequency of discharges home, and higher inpatient mortality (4.1% vs 1.8%, P < 0.01). After adjusting for patient characteristics and risk of mortality measures, IHT patients had a higher risk of in-hospital death (odds ratio: 1.36, 95% confidence interval: 1.29-1.43).

CONCLUSIONS

In this large national sample, IHT status is independently associated with inpatient mortality.

Disproportionate effects of dementia on hospital discharge disposition in common hospitalization categories

BACKGROUND

The impact of dementia on hospitalization discharge dispositions (HDDs) in the United States has not been quantified, and dementia prevalence in various hospitalization categories has not been detailed in recent years.

OBJECTIVE

To characterize hospitalizations prevalent with dementia, and to examine the relationship between dementia and HDDs.

DESIGN

A retrospective cross-sectional study.

SETTING

2000 to 2012 National Inpatient Sample databases.

PATIENTS

Hospitalizations in persons ≥65 years old assigned to 1 of 12 Diagnosis Related Groups (DRGs) with a high number of dementia patients.

INTERVENTION

None.

MEASUREMENTS

The databases were queried for 12 DRGs (versions 18/24). Predictor effects for dementia on HDD categories were modeled adjusting for other defined comorbidities/covariates using logistic regression. Adjusted predictor effects of dementia on HDD in the DRG groupings were determined. Dementia prevalence and trends were assessed.

RESULTS

Increasing proportions of dementia were noted in 4 DRGs studied. Dementia was strongly associated with being discharged to a nonhome setting. The most marked dementia effects were noted in DRGs 174 (gastrointestinal hemorrhage), 88 (chronic obstructive pulmonary disease), 182 (esophagitis/gastroenteritis), 138 (cardiac arrhythmias), 127 (congestive heart failure), and 89 (simple pneumonia and pleurisy), where there was at least a 76% reduction in the adjusted odds ratio (0.18-0.24) for home discharge. In contrast, DRGs 14 (stroke), 79 (respiratory infections/ inflammations), and 320 (kidney/urinary infections) had a smaller reduction in dementia-associated adjusted odds ratio (0.41-0.46) for home discharge. DRGs 79 and 320 had the highest proportions of dementia (>10%).

CONCLUSIONS

Dementia proportions in many hospitalization categories have increased. The variable effect of dementia on home discharge suggests that dementia has a differential influence on hospital discharge disposition depending on the DRG. These findings have implications for healthcare allocation and long-term care planning.

Insurance status influences emergent designation in surgical transfers

BACKGROUND

There is a perception among surgeons that hospitals disproportionately transfer unfavorably insured patients for emergency surgical care. Emergency medical condition (EMC) designation mandates referral center acceptance of patients for whom transfer is requested. We sought to understand whether unfavorably insured patients are more likely to be designated as EMCs.

MATERIALS AND METHODS

A retrospective cohort study was performed on patient transfers from a large network of acute care facilities to emergency surgery services at a tertiary referral center from 2009-2013. Insurance was categorized as favorable (commercial or Medicare) or unfavorable (Medicaid or uninsured). The primary outcome, transfer designation as EMC or non-EMC, was evaluated using multivariable logistic regression. A secondary analysis evaluated uninsured patients only.

RESULTS

There were 1295 patient transfers in the study period. Twenty percent had unfavorable insurance. Favorably insured patients were older with fewer nonwhite, more comorbidities, greater illness severity, and more likely transferred for care continuity. More unfavorably insured patients were designated as EMCs (90% versus 84%, P < 0.01). In adjusted models, there was no association between unfavorable insurance and EMC transfer (odds ratio [OR], 1.61; 95% confidence interval [CI], 0.98-2.69). Uninsured patients were more likely to be designated as EMCs (OR, 2.27; CI, 1.08-4.77).

CONCLUSIONS

The finding that uninsured patients were more likely to be designated as EMCs suggests nonclinical variation that may be mitigated by clearer definitions and increased interfacility coordination to identify patients requiring transfer for EMCs.

Achieving regionalization through rural interhospital transfer

Regionalization of emergency medical care aims to provide consistent and efficient high-quality care leading to optimal clinical outcomes by matching patient needs with appropriate resources at a network of hospitals. Regionalized care has been shown to improve outcomes in trauma, myocardial infarction, stroke, cardiac arrest, and acute respiratory distress syndrome. In rural areas, effective regionalization often requires interhospital transfer. The decision to transfer is complex and includes such factors as capabilities of the presenting hospital; capacity at the receiving hospital; and financial, geographic, and patient-preference considerations. Although transfer to a comprehensive center has proven benefits for some conditions, the transfer process is not without risk. These risks include clinical deterioration, limited resource availability during transport, vehicular crashes, time delays for time-sensitive care, poor communication between providers, and neglect of patient preferences. This article reviews the transfer decision, financial implications, risks, and considerations for patients undergoing rural interhospital transfer. We identify several strategies that should be considered for development of the regionalized emergency health care system of the future and identify areas where further research is necessary.

Insurance status is associated with treatment allocation and outcomes after subarachnoid hemorrhage

OBJECTIVE

Subarachnoid hemorrhage (SAH) is a particularly devastating type of stroke which is responsible for one third of all stroke-related years of potential life lost before age 65. Surgical treatment has been shown to decrease both morbidity and mortality after subarachnoid hemorrhage. We hypothesized that payer status other than private insurance is associated with lower allocation to surgical treatment for patients with SAH and worse outcomes.

DESIGN

We examined the association between insurance type and surgical treatment allocation and outcomes for patients with SAH while adjusting for a wide range of patient and hospital factors. We analyzed the Nationwide Inpatient Sample hospital discharge database using survey procedures to produce weighted estimates representative of the United States population.

PATIENTS

We studied 21047 discharges, representing a weighted estimate of 102595 patients age 18 and above with a discharge diagnosis of SAH between 2003 and 2008.

MEASUREMENTS

Multivariable logistic and generalized linear regression analyses were used to assess for any associations between insurance status and surgery allocation and outcomes.

MAIN RESULTS

Despite the benefits of surgery 66% of SAH patients did not undergo surgical treatment to prevent rebleeding. Mortality was more than twice as likely for patients with no surgical treatment compared to those who received surgery. Medicare patients were significantly less likely to receive surgical treatment.

CONCLUSIONS

Nearly two thirds of patients with SAH don't receive operative care, and Medicare patients were significantly less likely to receive surgical treatment than other patients. Bias against the elderly and those with chronic illness and disability may play a part in these findings. A system of regionalized care for patients presenting with SAH may reduce disparities and improve appropriate allocation to surgical care and deserves prospective study.