Distance From Freestanding Emergency Departments to Nearby Emergency Care

Impact of rural hospital closures on hospitalizations and associated outcomes for ambulatory and emergency care sensitive conditions

PURPOSE

The purpose of this paper is to examine the impact of rural hospital closures on age-adjusted hospitalization rates for ambulatory care sensitive condition (ACSC) and emergency care sensitive condition (ECSC) and associated outcomes, such as length of stay and in-hospital mortality in hospital service areas (HSAs) that utilized the closed hospital.

METHODS

We used the State Inpatient Data from the Healthcare Cost and Utilization Project for 9 states from 2010 to 2017 and classified admissions as ACSC or ECSC. We compared age-adjusted admission rates and length of stay (LOS) for ACSC and ECSC rates and age adjusted in-hospital mortality rate for ECSC among rural ZIP codes in HSAs with a closure to rural ZIP codes in HSAs without closures. We used propensity score-weighted regression analysis and event study design.

FINDINGS

Findings suggest that ACSC admission rates started to increase right before the closure. However, this increase levels off 2 years after closure. LOS for ACSC significantly decreased almost a year after closure. ECSC admissions showed a significant decrease for a few quarters 1 year before the closure.

CONCLUSIONS

Rural hospital closures were associated with increase in ACSC admissions right before closure and for nearly 2 years post closure as well as decrease in ECSC admissions before closure. As rural hospitals continue to close, efforts to ensure communities affected by these closures maintain access to primary health care may help eliminate increases in costly preventable hospital admissions for ACSC while ensuring access for emergency care services.

Rural Medicare beneficiaries are increasingly likely to be admitted to urban hospitals

OBJECTIVE

To determine whether rural Medicare FFS beneficiaries are more likely to be admitted to an urban hospital in 2018 than in 2010.

DATA SOURCES

We combined data from the 2010 to 2018 Hospital Service Area File (HSAF) and the 2010-2017 American Hospital Association (AHA) survey.

STUDY DESIGN

We conducted a fixed-effects negative-binomial regression to determine whether urban hospital admissions from rural ZIP codes were increasing over time. We also conducted an exploratory geographically weighted regression.

DATA COLLECTION

We transformed the HSAF data into a ZIP code-level file with all rural ZIP codes. We defined rural as having a Rural-Urban Commuting Area (RUCA) code ≥4. A hospital's system affiliation status was incorporated from the AHA survey.

PRINCIPAL FINDINGS

Controlling for distance to the nearest hospitals, an increase of 1 year was associated with a 2.0% increase (p < 0.001) in the number of admissions to urban hospitals from each rural ZIP code. New system affiliation of the nearest rural hospital was associated with an increase of 1.7% (p < 0.001).

CONCLUSIONS

Even when controlling for distance to the nearest rural hospital (which reflects hospital closures), rural patients were increasingly likely to be admitted to an urban hospital.

Systematic review of interruptions in the emergency department work environment

OBJECTIVE

The purpose of this systematic review is to describe the operationalization of interruptions measurement and to synthesize the evidence on the causes and consequences of interruptions in the emergency department (ED) work environment.

METHODS

This systematic review of studies explores the causes and consequences of interruptions in the ED. Of 2836 abstract/titles screened, 137 full-text articles were reviewed, and 44 articles met inclusion criteria of measuring ED interruptions.

RESULTS

All articles reported primary data collection, and most were cohort studies (n = 30, 68%). Conceptual or operational definitions of interruptions were included in 27 articles. Direct observation was the most common approach. In half of the studies, quantitative measures of interruptions in the ED were descriptive only, without measurements of interruptions' consequences. Twenty-two studies evaluated consequences, including workload, delays, satisfaction, and errors. Overall, relationships between ED interruptions and their causes and consequences are primarily derived from direct observation within large academic hospitals using heterogeneous definitions. Collective strengths of interruptions research in the ED include structured methods of naturalistic observation and definitions of interruptions derived from concept analysis. Limitations are conflicting and complex evaluations of consequences attributed to interruptions, including the predominance of descriptive reports characterizing interruptions without direct measurements of consequences.

CONCLUSIONS

The use of standardized definitions and measurements in interruptions research could contribute to measuring the impact and influence of interruptions on clinicians' productivity and efficiency as well as patients' outcomes, and thus provide a basis for intervention research.

Evaluation of the American Hospital Association Annual Survey for health services research in emergency medicine

Objectives

Emergency department (ED) data are often used to address questions about access to and quality of emergency care. Our objective was to compare one of the most commonly used data sources for national ED information, the American Hospital Association (AHA) Annual Survey, with a criterion database: the National Emergency Department Inventory (NEDI)-USA data set.

Methods

We compared the 2015 and 2016 AHA surveys to the following 3 criterion standards: (1) the 2015 and 2016 NEDI-USA databases, which have information about all US EDs, including merged data from (2) Council of Teaching Hospitals (COTH) and (3) the Critical Access Hospital (CAH) program. We present descriptive results about the number of EDs in each data set; total and median visit volumes; locations in rural areas; and COTH, CAH, and freestanding ED (FSED) status.

Results

The AHA survey identified 3893 US EDs in 2015. These EDs had a total annual visit volume of 129,197,493 visits, with a median of 22,772 visits (interquartile range, 8311-47,938). Compared with the NEDI-USA, the AHA included 1433 fewer EDs (-27%; 95% confidence interval [CI], -28% to -26%) and 23,615,163 (-15%) fewer visits. Specifically, AHA was missing 245 (-22%; 95% CI, -24% to -19%) of those located in rural areas, 268 (-20%; 95% CI, -22% to -18%) in a CAH, and 240 (-47%; 95% CI, -51% to -42%) FSEDs. We saw similar results using 2016 data.

Conclusions

Although several aggregated results were similar between the compared data sources, the AHA data set excluded many US EDs, including many rural EDs and FSEDs. Consequently, the AHA underreported total ED visits by 15%. We encourage data users to be cautious when interpreting results from any 1 ED data source, including the AHA.