Insurance status influences emergent designation in surgical transfers

Differences in Interfacility Transfer from Emergency Department and Inpatient Services for Inpatient Neurologic Care

Introduction

Interhospital transfer is an important mechanism for improving access to specialized neurologic care but there are large gaps in our understanding of interhospital transfer for the management of non-stroke-related neurologic disease.

Methods

This observational study included consecutive patients admitted to an adult academic general neurology service via interhospital transfer from July 1, 2015 to July 1, 2017. Characteristics of the referring hospital and transferred patients were obtained through the American Hospital Association Directory, a hospital transfer database maintained by the accepting hospital, and the electronic medical record. The analyses used descriptive statistics to examine the cohort overall and compare characteristics of patients transferred from an emergency department and inpatient service.

Results

504 patients were admitted via interhospital transfer during the study period. Of these, 395 patients (78.4%) were transferred because the referring hospital lacked capability, and 139 patients (27.6%) were transferred from an emergency department as opposed to inpatient service. Seizures was the most common diagnosis (23.8%). Patients who were transferred from an emergency department had a higher proportion covered by Medicaid (44.6%) than those transferred from an inpatient service (28.8%) and had a shorter median length of stay (3 days; IQR 2-7 vs 7 days; IQR 4-12).

Conclusions

The majority of observed interhospital non-stroke neurologic transfers occurred to improve access to specialized neurological care for patients, though patients transferred from the ED, as opposed to an inpatient service, had lower health care utilization, and this will be important to consider when developing systems of care and in future research.

Rise of long-distance urology transfer during the COVID-19 pandemic: Identifying factors to enhance transfers of care efficiency and clinical outcomes

OBJECTIVE

The objective of this study is to identify variables associated with clinical outcomes after urologic transfers before and during the COVID pandemic.

METHODS

After IRB approval, a retrospective chart review was performed on adult patients transferred to our institution from 01/01/2018 to 12/31/2019 ("pre-COVID") and from 01/02/2020 to 12/31/2022 ("COVID"). We identified demographics, origin hospitals, ICD-10 pre- and post-transfer diagnoses, distance of transfer, and post-transfer CPT codes.

RESULTS

During the study period, our adult urology service accepted 160 transfers with a mean patient age of 71 years. A total of 49/160 (30%) of subjects made up the "pre-COVID" cohort and 111/160 (70%) made up the "COVID" cohort. There were 11/111 (10%) transfers of >100 miles in the COVID period but 0/49 in the pre-COVID period (p = 0.02). Patients from the COVID period waited on average 1.2 days longer for a procedure after transfer compared to pre-COVID period (p = 0.03). The time until a patient's surgical procedure after transfer was a significant predictor of length of stay > 5 days (OR 1.91, CI 1.43 - 2.58, p < 0.01). Different diagnosis upon re-evaluation after transfer was associated with a decreased rate of subsequent readmission (OR 0.30, CI 0.09-0.97, p = 0.05).

CONCLUSIONS

Long-distance transfer, even >100 miles (which we termed "mega-transfers"), was a new pandemic-related phenomenon at our institution. Delays in definitive care and changes in diagnoses after transfer were associated with readmission and length of stay. Our findings illustrate the importance of inter-institutional communication, diagnostic accuracy, and post discharge planning when managing transfer patients.

Racial and ethnic disparities in emergency department transfers to public hospitals

OBJECTIVE

To examine racial/ethnic differences in emergency department (ED) transfers to public hospitals and factors explaining these differences.

DATA SOURCES AND STUDY SETTING

ED and inpatient data from the Healthcare Cost and Utilization Project for Florida (2010-2019); American Hospital Association Annual Survey (2009-2018).

STUDY DESIGN

Logistic regression examined race/ethnicity and payer on the likelihood of transfer to a public hospital among transferred ED patients. The base model was controlled for patient and hospital characteristics and year fixed effects. Models II and III added urbanicity and hospital referral region (HRR), respectively. Model IV used hospital fixed effects, which compares patients within the same hospital. Models V and VI stratified Model IV by payer and condition, respectively. Conditions were classified as emergency care sensitive conditions (ECSCs), where transfer is protocolized, and non-ECSCs. We reported marginal effects at the means.

DATA COLLECTION/EXTRACTION METHODS

We examined 1,265,588 adult ED patients transferred from 187 hospitals.

PRINCIPAL FINDINGS

Black patients were more likely to be transferred to public hospitals compared with White patients in all models except ECSC patients within the same initial hospital (except trauma). Black patients were 0.5-1.3 percentage points (pp) more likely to be transferred to public hospitals than White patients in the same hospital with the same payer. In the base model, Hispanic patients were more likely to be transferred to public hospitals compared with White patients, but this difference reversed after controlling for HRR. Hispanic patients were - 0.6 pp to -1.2 pp less likely to be transferred to public hospitals than White patients in the same hospital with the same payer.

CONCLUSIONS

Large population-level differences in whether ED patients of different races/ethnicities were transferred to public hospitals were largely explained by hospital market and the initial hospital, suggesting that they may play a larger role in explaining differences in transfer to public hospitals, compared with other external factors.

Determining the Association Between Insurance Type and Myofascial Release in Large Ventral Hernias

INTRODUCTION

Abdominal wall reconstruction (AWR) utilizes advanced myofascial releases to perform complex ventral hernia repair (VHR). The relationship between the performance of AWR and disparities in insurance type is unknown.

METHODS

The Abdominal Core Health Quality Collaborative was queried for adults who had undergone an elective VHR between 2013 and 2020 with a hernia size ≥10 cm. Patients with missing insurance data were excluded. Comparison groups were divided by insurance type: favorable (private, Medicare, Veteran's Administration, Tricare) or unfavorable (Medicaid and self-pay). Propensity score matching compared the cumulative incidence of AWR between the favorable and unfavorable insurance comparison groups.

RESULTS

In total, 26,447 subjects met inclusion criteria. The majority (89%, n = 23,617) had favorable insurance, while (11%, n = 2830) had unfavorable insurance. After propensity score matching, 2821 patients with unfavorable insurance were matched to 7875 patients with favorable insurance. The rate of AWR with external oblique release or transversus abdominis release was significantly higher (23%, n = 655) among the unfavorable insurance group compared to those with favorable insurance (21%, n = 1651; P = 0.013).

CONCLUSIONS

This study provides evidence that patients with unfavorable insurance may undergo AWR with external oblique or transversus abdominis release at a greater rate than similar patients with favorable insurance. Understanding the mechanisms contributing to this difference and evaluating the financial implications of these trends represent important directions for future research in elective VHR.

Is the Centralization of Complex Surgical Procedures an Unintended Spillover Effect of Global Capitation? - Insights from the Maryland Global Budget Revenue Program

OBJECTIVE

To determine if global budget revenue (GBR) models incent the centralization of complex surgical care.

SUMMARY BACKGROUND

In 2014, Maryland initiated a statewide GBR model. While prior research has shown improvements in cost and outcomes for surgical care post-GBR implementation, the mechanism remains unclear.

METHODS

Utilizing state inpatient databases, we compared the proportion of adults undergoing elective complex surgeries (gastrectomy, pneumonectomy/lobectomy, proctectomies, and hip/knee revision) at high-concentration hospitals (HCHs) in Maryland and control states. Annual concentration, per procedure, was defined as hospital volume divided by state volume. HCHs were defined as hospitals with a concentration at least at the 75 th percentile in 2010. We estimated the difference-in-differences (DiD) of the probability of patients undergoing surgery at HCHs before and after GBR implementation.

FINDINGS

Our sample included 122,882 surgeries. Following GBR implementation, all procedures were increasingly performed at HCHs in Maryland. States satisfied the parallel trends assumption for the centralization of gastrectomy and pneumonectomy/lobectomy. Post-GBR, patients were more likely to undergo gastrectomy (DiD: 5.5 p.p., 95% CI [2.2, 8.8]) and pneumonectomy/lobectomy (DiD: 12.4 p.p., 95% CI [10.0, 14.8]) at an HCH in Maryland compared with control states. For our hip/knee revision analyses, we assumed persistent counterfactuals and noted a positive DiD post-GBR implementation (DiD: 4.8 p.p., 95% CI [1.3, 8.2]). No conclusion could be drawn for proctectomy due to different pre-GBR trends.

CONCLUSIONS

GBR implementation is associated with increased centralization for certain complex surgeries. Future research is needed to explore the impact of centralization on patient experience and access.

A Conceptual Framework for Optimizing the Equity of Hospital-Based Emergency Care: The Structure of Hospital Transfer Networks

Policy Points Current pay-for-performance and other payment policies ignore hospital transfers for emergency conditions, which may exacerbate disparities. No conceptual framework currently exists that offers a patient-centered, population-based perspective for the structure of hospital transfer networks. The hospital transfer network equity-quality framework highlights the external and internal factors that determine the structure of hospital transfer networks, including structural inequity and racism.

CONTEXT

Emergency care includes two key components: initial stabilization and transfer to a higher level of care. Significant work has focused on ensuring that local facilities can stabilize patients. However, less is understood about transfers for definitive care. To better understand how transfer network structure impacts population health and equity in emergency care, we proposea conceptual framework, the hospital transfer network equity-quality model (NET-EQUITY). NET-EQUITY can help optimize population outcomes, decrease disparities, and enhance planning by supporting a framework for understanding emergency department transfers.

METHODS

To develop the NET-EQUITY framework, we synthesized work on health systems and quality of health care (Donabedian, the Institute of Medicine, Ferlie, and Shortell) and the research framework of the National Institute on Minority Health and Health Disparities with legal and empirical research.

FINDINGS

The central thesis of our framework is that the structure of hospital transfer networks influences patient outcomes, as defined by the Institute of Medicine, which includes equity. The structure of hospital transfer networks is shaped by internal and external factors. The four main external factors are the regulatory, economic environment, provider, and sociocultural and physical/built environment. These environments all implicate issues of equity that are important to understand to foster an equitable population-based system of emergency care. The framework highlights external and internal factors that determine the structure of hospital transfer networks, including structural racism and inequity.

CONCLUSIONS

The NET-EQUITY framework provides a patient-centered, equity-focused framework for understanding the health of populations and how the structure of hospital transfer networks can influence the quality of care that patients receive.

Assessment of Hospital Characteristics and Interhospital Transfer Patterns of Adults With Emergency General Surgery Conditions

Importance

Although patients with emergency general surgery (EGS) conditions frequently undergo interhospital transfers, the transfer patterns and associated factors are not well understood.

Objective

To examine whether patients with EGS conditions are consistently directed to hospitals with more resources and better outcomes.

Design, Setting, and Participants

This cohort study performed a network analysis of interhospital transfers among adults with EGS conditions from January 1 to December 31, 2016. The analysis used all-payer claims data from the 2016 Healthcare Cost and Utilization Project state inpatient and emergency department databases in 8 states. A total of 728 hospitals involving 85 415 transfers of 80 307 patients were included. Patients were eligible for inclusion if they were 18 years or older and had an acute care hospital encounter with a diagnosis of an EGS condition as defined by the American Association for the Surgery of Trauma. Data were analyzed from January 1, 2020, to June 17, 2021.

Exposures

Hospital-level measures of size (total bed capacity), resources (intensive care unit [ICU] bed capacity, teaching status, trauma center designation, and presence of trauma and/or surgical critical care fellowships), EGS volume (annual EGS encounters), and EGS outcomes (risk-adjusted failure to rescue and in-hospital mortality).

Main Outcomes and Measures

The main outcome was hospital-level centrality ratio, defined as the normalized number of incoming transfers divided by the number of outgoing transfers. A higher centrality ratio indicated more incoming transfers per outgoing transfer. Multivariable regression analysis was used to test the hypothesis that a higher hospital centrality ratio would be associated with more resources, higher volume, and better outcomes.

Results

Among 80 307 total patients, the median age was 63 years (interquartile range [IQR], 50-75 years); 52.1% of patients were male and 78.8% were White. The median number of outgoing and incoming transfers per hospital were 106 (IQR, 61-157) and 36 (IQR, 8-137), respectively. A higher log-transformed centrality ratio was associated with more resources, such as higher ICU capacity (eg, >25 beds vs 0-10 beds: β = 1.67 [95% CI, 1.16-2.17]; P < .001), and higher EGS volume (eg, quartile 4 [highest] vs quartile 1 [lowest]: β = 0.78 [95% CI, 0-1.57]; P = .01). However, a higher log-transformed centrality ratio was not associated with better outcomes, such as lower in-hospital mortality (eg, quartile 4 [highest] vs quartile 1 [lowest]: β = 0.30 [95% CI, -0.09 to 0.68]; P = .83) and lower failure to rescue (eg, quartile 4 [highest] vs quartile 1 [lowest]: β = -0.50 [95% CI, -1.13 to 0.12]; P = .27).

Conclusions and Relevance

In this study, EGS transfers were directed to high-volume hospitals with more resources but were not necessarily directed to hospitals with better clinical outcomes. Optimizing transfer destination in the interhospital transfer network has the potential to improve EGS outcomes.

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.

Financial Impact of Direct-Acting Oral Anticoagulants in Medicaid: Budgetary Assessment Based on Number Needed to Treat

BACKGROUND

Faced with rising healthcare costs, state Medicaid programs need short-term, easily calculated budgetary estimates for new drugs, accounting for medical cost offsets due to clinical advantages.

OBJECTIVE

To estimate the budgetary impact of direct-acting oral anticoagulants (DOACs) compared with warfarin, an older, lower-cost vitamin K antagonist, on 12-month Medicaid expenditures for nonvalvular atrial fibrillation (NVAF) using number needed to treat (NNT).

METHOD

Medicaid utilization files, 2009 through second quarter 2015, were used to estimate OAC cost accounting for generic/brand statutory minimum (13/23%) and assumed maximum (13/50%) manufacturer rebates. NNTs were calculated from clinical trial reports to estimate avoided medical events for a hypothetical population of 500,000 enrollees (approximate NVAF prevalence × Medicaid enrollment) under two DOAC market share scenarios: 2015 actual and 50% increase. Medical service costs were based on published sources. Costs were inflation-adjusted (2015 US$).

RESULTS

From 2009-2015, OAC reimbursement per claim increased by 173 and 279% under maximum and minimum rebate scenarios, respectively, while DOAC market share increased from 0 to 21%. Compared with a warfarin-only counterfactual, counts of ischemic strokes, intracranial hemorrhages, and systemic embolisms declined by 36, 280, and 111, respectively; counts of gastrointestinal hemorrhages increased by 794. Avoided events and reduced monitoring, respectively, offset 3-5% and 15-24% of increased drug cost. Net of offsets, DOAC-related cost increases were US$258-US$464 per patient per year (PPPY) in 2015 and US$309-US$579 PPPY after market share increase.

CONCLUSIONS

Avoided medical events offset a small portion of DOAC-related drug cost increase. NNT-based calculations provide a transparent source of budgetary-impact information for new medications.

Unnecessary Transfers for Acute Surgical Care: Who and Why?

Interhospital transfers for acute surgical care occur commonly, but without clear guidelines or protocols. Transfers may subject patients and delivery systems to significant burdens without clear clinical benefit. The incidence and factors associated with unnecessary transfers are not well described. We conducted a retrospective cohort study of patient transfers within a regional referral network to a tertiary center for nontrauma acute surgical care from 2009 to 2013. Clinically unnecessary transfers were defined as transfers that resulted in no intervention (operation, endoscopy, or interventional radiology procedure) and discharge to home within 72 hours. We performed bivariate and multivariate logistic regression analyses. The study population included 2177 patient transfers, 19 per cent of which were determined to be clinically unnecessary. After adjustment, clinically unnecessary transfers were more commonly performed for patient request (odds ratio = 2.52, 95% confidence interval = 1.60–3.99), continuity of care (1.87, 1.44–2.42), and care by urologic (1.50, 1.06–2.13) and vascular services (1.44, 1.03–2.01). Patients with higher comorbidity and severity of illness scores were less likely to have unnecessary transfers. The burden of unnecessary transfers could be mitigated by identifying appropriate transfer candidates through mutually developed guidelines, interfacility collaboration, and increased use of remote care to provide surgical subspecialty consultation and maintain continuity.