The Importance of Rural Hospitals: Transfers and 30-day Readmissions Among Rural Residents and Patients Presenting at Rural Hospitals

A proposed method for identifying Interfacility transfers in Medicare claims data

OBJECTIVE

To develop a method of consistently identifying interfacility transfers (IFTs) in Medicare Claims using patients with ST-Elevation Myocardial Infarction (STEMI) as an example.

DATA SOURCES/STUDY SETTING

100% Medicare inpatient and outpatient Standard Analytic Files and 5% Carrier Files, 2011-2020.

STUDY DESIGN

Observational, cross-sectional comparison of patient characteristics between proposed and existing methods.

DATA COLLECTION/EXTRACTION METHODS

We limited to patients aged 65+ with STEMI diagnosis using both proposed and existing methods.

PRINCIPAL FINDINGS

We identified 62,668 more IFTs using the proposed method (86,128 versus 23,460). A separately billable interfacility ambulance trip was found for more IFTs using the proposed than existing method (86% vs. 79%). Compared with the existing method, transferred patients under the proposed method were more likely to live in rural (p < 0.001) and lower income (p < 0.001) counties and were located farther away from emergency departments, trauma centers, and intensive care units (p < 0.001).

CONCLUSIONS

Identifying transferred patients based on two consecutive inpatient claims results in an undercount of IFTs and under-represents rural and low-income patients.

Casemix and performance of Australian emergency departments: A comparison of major city, regional and remote locations

OBJECTIVE

EDs are an essential service, and higher rates of presentations per population are seen in regional and remote areas compared to major cities. Australia-wide differences in utilisation and performance remain largely unknown.

METHODS

This was a descriptive, retrospective epidemiological study analysing data collected via the National Non-Admitted Patient Emergency Department Care Database managed by the Australian Institute of Health and Welfare. Data from all reporting public hospitals in Australia for the period between 1 July 2018 and 30 June 2019 were analysed. Reporting EDs were geographically categorised using the 2016 Australian Statistical Geography Standard - Remoteness Area.

RESULTS

ED presentations for the 293 reporting EDs were 8 352 192 (median 17 904, range 8-113 929), one-third (33.09%, 95% CI 33.06-33.12) were outside major cities. Remote ED presentations were less likely to arrive by ambulance (12.13% [12.01-12.26]; major cites 28.07% [28.03-28.10]; regional 22.55% [22.50-22.60]) but more likely by police/correctional services vehicle (major cities 0.59% [0.58-0.60]; regional 0.71% [0.70-0.72]; remote 1.71% [1.66-1.76]). Presentations to remote EDs were more likely to leave without being attended by a health professional (5.29% [5.21-5.38]; major cities 3.93% [3.92-3.95]; regional 3.53% [3.51-3.55]). A larger proportion of admitted patients stayed at least 8 h in remote (21.83% [21.46-22.20]) and regional (21.52% [21.41-21.62]) EDs compared to major cities (19.82% [19.76-19.88]).

CONCLUSIONS

Our study highlights ED utilisation, casemix and performance by location. The differences observed, especially areas of inequity and need for interventions, reiterate that imperative regional and remote EDs are appropriately resourced to support the communities they serve.

Quality of Care and Outcomes Among Patients Hospitalized for Heart Failure in Rural vs Urban US Hospitals: The Get With The Guidelines-Heart Failure Registry

Importance

Prior studies have suggested patients with heart failure (HF) from rural areas have worse clinical outcomes. Contemporary differences between rural and urban hospitals in quality of care and clinical outcomes for patients hospitalized for HF remain poorly understood.

Objective

To assess quality of care and clinical outcomes for US patients hospitalized for HF at rural vs urban hospitals.

Design, Setting, and Participants

This retrospective cohort study analyzed 774 419 patients hospitalized for HF across 569 sites in the Get With The Guidelines-Heart Failure (GWTG-HF) registry between January 1, 2014, and September 30, 2021. Postdischarge outcomes were assessed in a subset of 161 996 patients linked to Medicare claims. Data were analyzed from August 2022 to January 2023.

Main Outcomes and Measures

GWTG-HF quality measures, in-hospital mortality, length of stay, and 30-day mortality and readmission outcomes.

Results

This study included 19 832 patients (2.6%) and 754 587 patients (97.4%) hospitalized at 49 rural hospitals (8.6%) and 520 urban hospitals (91.4%), respectively. Of 774 419 included patients, 366 161 (47.3%) were female, and the median (IQR) age was 73 (62-83) years. Compared with patients at urban hospitals, patients at rural hospitals were older (median [IQR] age, 74 [64-84] years vs 73 [61-83] years; standardized difference, 10.63) and more likely to be non-Hispanic White (14 572 [73.5%] vs 498 950 [66.1%]; standardized difference, 34.47). In adjusted models, patients at rural hospitals were less likely to be prescribed cardiac resynchronization therapy (adjusted risk difference [aRD], -13.5%; adjusted odds ratio [aOR], 0.44; 95% CI, 0.22-0.92), angiotensin-converting enzyme inhibitor or angiotensin receptor blocker (aRD, -3.7%; aOR, 0.71; 95% CI, 0.53-0.96), and an angiotensin receptor-neprilysin inhibitor (aRD, -5.0%; aOR, 0.68; 95% CI, 0.47-0.98) at discharge. In-hospital mortality was similar between rural and urban hospitals (460 of 19 832 [2.3%] vs 20 529 of 754 587 [2.7%]; aOR, 0.86; 95% CI, 0.70-1.07). Patients at rural hospitals were less likely to have a length of stay of 4 or more days (aOR, 0.75; 95% CI, 0.67-0.85). Among Medicare beneficiaries, there were no significant differences between rural and urban hospitals in 30-day HF readmission (adjusted hazard ratio [aHR], 1.03; 95% CI, 0.90-1.19), all-cause readmission (aHR, 0.97; 95% CI, 0.91-1.04), and all-cause mortality (aHR, 1.05; 95% CI, 0.91-1.21).

Conclusions and Relevance

In this large contemporary cohort of US patients hospitalized for HF, care at rural hospitals was independently associated with lower use of some guideline-recommended therapies at discharge and shorter length of stay. In-hospital mortality and 30-day postdischarge outcomes were similar at rural and urban hospitals.

Rural-Urban Disparities in Outcomes of Myocardial Infarction, Heart Failure, and Stroke in the United States

BACKGROUND

U.S. policy efforts have focused on reducing rural-urban health inequities. However, it is unclear whether gaps in care and outcomes remain among older adults with acute cardiovascular conditions.

OBJECTIVES

This study aims to evaluate rural-urban differences in procedural care and mortality for acute myocardial infarction (AMI), heart failure (HF), and ischemic stroke.

METHODS

This is a retrospective cross-sectional study of Medicare fee-for-service beneficiaries aged ≥65 years with acute cardiovascular conditions from 2016 to 2018. Cox proportional hazards models with random hospital intercepts were fit to examine the association of presenting to a rural (vs urban) hospital and 30- and 90-day patient-level mortality.

RESULTS

There were 2,182,903 Medicare patients hospitalized with AMI, HF, or ischemic stroke from 2016 to 2018. Patients with AMI were less likely to undergo cardiac catherization (49.7% vs 63.6%, P < 0.001), percutaneous coronary intervention (42.1% vs 45.7%, P < 0.001) or coronary artery bypass graft (9.0% vs 10.2%, P < 0.001) within 30 days at rural versus urban hospitals. Thrombolysis rates (3.1% vs 10.1%, P < 0.001) and endovascular therapy (1.8% vs 3.6%, P < 0.001) for ischemic stroke were lower at rural hospitals. After adjustment for demographics and clinical comorbidities, the 30-day mortality HR was significantly higher among patients presenting to rural hospitals for AMI (HR: 1.10, 95% CI: 1.08 to 1.12), HF (HR: 1.15; 95% CI: 1.13 to 1.16), and ischemic stroke (HR: 1.20; 95% CI: 1.18 to 1.22), with similar patterns at 90 days. These differences were most pronounced for the subset of critical access hospitals that serve remote, rural areas.

CONCLUSIONS

Clinical, public health, and policy efforts are needed to improve rural-urban gaps in care and outcomes for acute cardiovascular conditions.

Comparing Preventable Acute Care Use of Rural Versus Urban Americans: an Observational Study of National Rates During 2008-2017

BACKGROUND

Rural Americans have less access to care than urban Americans. Preventable acute care use is a marker of unmet ambulatory healthcare needs, but little is known about how such utilization has differed between rural and urban areas over time.

OBJECTIVE

Compare preventable emergency department (ED) visit and hospitalization rates among rural versus urban residents over the past decade.

DESIGN

Observational study using a validated algorithm to compute age-sex-adjusted rates per 100,000 individuals of preventable ED visits and hospitalizations. Differences in overall, annual, and condition-specific rates for rural versus urban residents were assessed and linear regression was used to assess 10-year trends.

SETTING

Nationwide Emergency Department Sample, National Inpatient Sample, and US Census, 2008-2017.

PARTICIPANTS

US adults, an annual average of 241.3 million individuals.

MEASUREMENTS

Preventable ED visits and hospitalizations.

RESULTS

Compared to urban residents, rural residents had 45% higher rates of preventable ED visits in 2008 (3003 vs. 2070 per 100,000, adjusted difference [AD]: 933; 95% CI: 928-938) and 44% higher rates of preventable ED visits in 2017 (3911 vs. 2708 per 100,000, AD: 1202; 95% CI: 1196-1208). Rural residents had 26% higher rates of preventable hospitalizations in 2008 (2104 vs. 1666 per 100,000, AD: 439; 95% CI: 434-443) and 13% higher rates in 2017 (1634 vs. 1440 per 100,000, AD: 194; 95% CI: 190-199). Preventable ED visits increased more in absolute terms in rural versus urban residents, but the percentage increase was similar (30% vs. 31%) because rural residents started at a higher baseline. Preventable hospitalizations decreased at a faster rate (22% vs. 14%) among rural versus urban residents.

LIMITATIONS

Observational study; unable to infer causality.

CONCLUSIONS

Rural disparities in acute care use are narrowing for preventable hospitalizations but have persisted for all preventable acute care use, suggesting unmet demand for high-quality ambulatory care in rural areas.

Health and Poverty of Rural Children: An Under-Researched and Under-Resourced Vulnerable Population

Nearly 1 in 5 children in the United States live in rural areas. Rural children experience health and health care disparities compared to their urban peers and represent a unique and vulnerable pediatric patient population. Important disparities exist in all-cause mortality, suicide, firearm-related unintentional injury, and obesity. Rural children experience decreased availability and accessibility of primary care and specialty care (especially mental health care) due to a decreased number of health care providers as well as geographical and transportation-related barriers. Other geographic and socioeconomic determinants, especially concerning poverty and substandard housing conditions, are likely important contributors to the observed health disparities. Increased funding for research focused on rural populations is needed to provide innovative solutions for the unique health needs of rural children. Policy changes positioned to correct the trajectory of poor health among children should consider the needs of rural children as an under-researched and under-resourced vulnerable population.

Dealing with the Sick Rural Surgery Patient in Need of Transfer

Care for rural and urban surgical patients is increasingly more complex due to advancing knowledge and technology. Interhospital transfers occur in approximately 10% of index encounters at rural hospitals secondary to mismatch of patient needs and local resources. Due to the recent expansion of air transport to rural areas, distance and geography are less of a barrier. The interhospital transfer process is understudied and far from standardized. Interhospital transfer status is associated with increase in mortality, complications, length of stay, and costs. The cost, price to patients, and safety of air ambulance transports cannot be ignored.

Multi-morbidities are Not a Driving Factor for an Increase of COPD-Related 30-Day Readmission Risk

Background and Objective

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the United States. COPD is expensive to treat, whereas the quality of care is difficult to evaluate due to the high prevalence of multi-morbidity among COPD patients. In the US, the Hospital Readmissions Reduction Program (HRRP) was initiated by the Centers for Medicare and Medicaid Services to penalize hospitals for excessive 30-day readmission rates for six diseases, including COPD. This study examines the difference in 30-day readmission risk between COPD patients with and without comorbidities.

Methods

In this retrospective cohort study, we used Cox regression to estimate the hazard ratio of 30-day readmission rates for COPD patients who had no comorbidity and those who had one, two or three, or four or more comorbidities. We controlled for individual, hospital and geographic factors. Data came from three sources: Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID), Area Health Resources Files (AHRF) and the American Hospital Association’s (AHA's) annual survey database for the year of 2013.

Results

COPD patients with comorbidities were less likely to be readmitted within 30 days relative to patients without comorbidities (aHR from 0.84 to 0.87, p < 0.05). In a stratified analysis, female patients with one comorbidity had a lower risk of 30-day readmission compared to female patients without comorbidity (aHR = 0.80, p < 0.05). Patients with public insurance who had comorbidities were less likely to be readmitted within 30 days in comparison with those who had no comorbidity (aHR from 0.79 to 0.84, p < 0.05).

Conclusion

COPD patients with comorbidities had a lower risk of 30-day readmission compared with patients without comorbidity. Future research could use a different study design to identify the effectiveness of the HRRP.

Uncovering differences in interoperability across hospital size

BACKGROUND

Small hospitals significantly lag behind large hospitals in interoperable health information exchange. This analysis identifies factors that explain differences in interoperability between these hospital types. We place a particular emphasis on such factors as number of functionalities within electronic health record system (EHR), participation in regional and national networks, and adoption of a dominant EHR.

METHODS

Using data from the 2017 American Hospital Association (AHA) Annual Survey Information Technology Supplement (n = 2789 hospitals), we applied a Blinder-Oaxaca decomposition technique to explain differences in each domain of interoperability. Interoperability is defined as a hospitals' ability to electronically send, receive, and integrate summary of care records into their EHR and electronically find patient health information from external sources.

RESULTS

The percentage of small and large hospitals engaged in each interoperability domain increased between 2015 and 2017; however, the gap between these hospital types remained mostly the same. Differences in characteristics explained most of the gap in integrating, finding and receiving the data while differences in characteristics and returns to characteristics were significant in explaining the differences in sending the data. The number of EHR functionalities and participation in national and regional networks were among largest contributors to the gap.

CONCLUSIONS

The lack of participation in multiple networks and the number of functionalities in EHRs among small hospitals are key factors that explain the difference in interoperability between small and large hospitals. Policies that incentivize these activities or simplify electronic exchange could reduce gaps in interoperability among hospitals of different sizes.