ArticleAnnals of emergency medicine2018
Quality Through Coopetition: An Empiric Approach to Measure Population Outcomes for Emergency Care-Sensitive Conditions.
Article in Annals of emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Emergency department visits among rural and urban older adults: disparities in ambulatory and emergency care sensitive conditions.BMC health services research · 2025Article
- Policy Spotlight Effects on Critical Time-Sensitive Diseases: Nationwide Retrospective Cohort Study on Taiwan's Hospital Emergency Capability Categorization Policy.Interactive journal of medical research · 2025Article
- Coopetition Strategy in the Healthcare: Good or Bad?International journal of health policy and management · 2024Article
- Application of Community Detection Methods to Identify Emergency General Surgery-Specific Regional Networks.JAMA network open · 2024Article
- Taking action to achieve health equity and eliminate healthcare disparities within acute care surgery.Trauma surgery & acute care open · 2024Article
- The impact of interhospital transfer on mortality benchmarking at Level III and IV trauma centers: A step toward shared mortality attribution in a statewide system.The journal of trauma and acute care surgery · 2020Article
- Identification of Emergency Care-Sensitive Conditions and Characteristics of Emergency Department Utilization.JAMA network open · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
STUDY
objectiveWe develop a novel approach for measuring regional outcomes for emergency care-sensitive conditions.
methodsWe used statewide inpatient hospital discharge data from the Pennsylvania Healthcare Cost Containment Council. This cross-sectional, retrospective, population-based analysis used International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes to identify admissions for emergency care-sensitive conditions (ischemic stroke, ST-segment elevation myocardial infarction, out-of-hospital cardiac arrest, severe sepsis, and trauma). We analyzed the origin and destination patterns of patients, grouped hospitals with a hierarchical cluster analysis, and defined boundary shapefiles for emergency care service regions.
resultsOptimal clustering configurations determined 10 emergency care service regions for Pennsylvania.
conclusionWe used cluster analysis to empirically identify regional use patterns for emergency conditions requiring a communitywide system response. This method of attribution allows regional performance to be benchmarked and could be used to develop population-based outcome measures after life-threatening illness and injury.
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Registered trials
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