Evaluation of emergency department performance - a systematic review on recommended performance and quality-in-care measures

Association between emergency department length of stay and patient outcomes: a systematic review protocol

REVIEW QUESTION

The question of this review is: what is the association between emergency department length of stay and patient outcomes?More specifically, what is the association between the length of time a patient spends in the emergency department and outcomes, including, but not limited to: mortality, omitted episodes of care (e.g. non-administration of prescribed medication), adverse events, time to treatment (e.g. time to analgesia or time to operating theater), inpatient length of stay, leave without being seen rate and patient satisfaction?

Defining quality indicators for emergency care delivery: findings of an expert consensus process by emergency care practitioners in Africa

Facility-based emergency care delivery in low-income and middle- income countries is expanding rapidly, particularly in Africa. Unfortunately, these efforts rarely include measurement of the quality or the impact of care provided, which is essential for improvement of care provision. Our aim was to determine context-appropriate quality indicators that will allow uniform and objective data collection to enhance emergency care delivery throughout Africa. We undertook a multiphase expert consensus process to identify, rank and refine quality indicators. A comprehensive review of the literature identified existing indicators; those associated with a substantial burden of disease in Africa were categorised and presented to consensus conference delegates. Participants selected indicators based on inclusion criteria and priority clinical conditions. The indicators were then presented to a group of expert clinicians via on-line survey; all meeting agreements were refined in-person by a separate panel and ranked according to validity, feasibility and value. The consensus working group selected seven conditions addressing nearly 75% of mortality in the African region to prioritise during indicator development, and the final product at the end of the multiphase study was a list of 76 indicators. This comprehensive process produced a robust set of quality indicators for emergency care that are appropriate for use in the African setting. The adaptation of a standardised set of indicators will enhance the quality of care provided and allow for comparison of system strengthening efforts and resource distribution.

Partial replacement of board-certified specialist-grade physicians with emergency medicine trainees in a busy emergency department: Lack of adverse effect on time to physician

Objectives: Standard emergency department (ED) operation goals include minimization of the time interval between patients' initial ED presentation and initial emergency physician (EP) evaluation. Following up on previous work defining factors influencing the “time to physician” (tMD) in a busy ED, the current study was undertaken to evaluate whether tMD was adversely impacted by the ED's partial replacement of specialist-grade EPs with emergency medicine (EM) trainees (at the resident and fellow level). Methods: This retrospective study was conducted for four months (September–December 2015) using an ED administrative database (EDAD) in an urban academic tertiary ED with an annual census of approximately 500,000; during the four study months, the ED census was 165,969. To minimize confounding by time of day and related factors, data analysis focused solely on the “day shift” (0600–1400) of each of the study period's 122 days. EDAD data were combined with EP rostering data to generate a multivariate linear regression model that assessed the dependent variable tMD, for significant changes associated with increasing proportion – not necessarily always the same as increasing the absolute number of trainees (i.e., summed residents and fellows as a total percent of all on-duty EPs). There were trainees in the study ED throughout the study, but the trainee numbers as a proportion of the overall physician staffing fluctuated, thus providing a basis for analysis. The model adjusted for covariates previously demonstrated to impact tMD at the study center. Analyses were conducted with Stata 14MP, with statistical significance defined at p < 0.05 and confidence intervals (CIs) reported at the 95% level. Results: In an acceptable regression model that adjusted for multiple parameters influencing tMD, the introduction of a covariate representing the proportion of on-duty trainee physicians was very small in magnitude (β estimate 0.07, 95% CI − 0.16 to 0.30) and not statistically significant (p = 0.53). Conclusions: A multivariate analysis adjusting for variables contributing to tMD showed no indication of adverse tMD impact from partial replacement of board-certified specialist-grade EPs with EM trainees given adequate supervision by properly trained faculty.

Developing quality indicators for the care of patients with musculoskeletal injuries in the Emergency Department: study protocol

BACKGROUND

Musculoskeletal injuries are a common presentation to the Emergency Department (ED). The quality of care provided is important to the patients, clinicians, organisations and purchasers of care. In the context of the increasing burden of musculoskeletal disease, quality of care needs to occur despite financial impacts, variations in care, and pressure to reach time-based performance measures. This study aims to develop a suite of evidence-based quality indicators (QI) which will provide a measure of the quality of care for patients with musculoskeletal injuries in the ED.

METHODS

This study will utilise a multi-phase mixed methods protocol, commencing with a systematic review of the literature to identify and critically appraise existing QIs for musculoskeletal injuries in the ED. The study will then build on the gaps identified in the review to develop a suite of preliminary QIs, in accordance with established research methodology under the governance of an expert panel. The developed QI set will then be field-tested for feasibility and validity in selected EDs. After field-testing, the suite will be refined in consultation with the expert panel and finalised using a formal voting process.

DISCUSSION

The assessment of performance against QIs provides a quantitative measure for the quality of care provided to patients, to identify and target quality improvement activities. The QIs developed through this study will be evidence-based and balanced across the areas of structures, processes and outcomes. The rigorous methodology used to develop and test the QIs will result in QIs that are meaningful, valid, feasible to collect and efficiently measurable, amenable to improvement, and selected by experts in the emergency medicine field. The final QI suite will have applications across EDs that affords comparison, benchmarking and optimisation of emergency care for patients.

Marginal analysis in assessing factors contributing time to physician in the Emergency Department using operations data

Background: Standard Emergency Department (ED) operations goals include minimization of the time interval (tMD) between patients' initial ED presentation and initial physician evaluation. This study assessed factors known (or suspected) to influence tMD with a two-step goal. The first step was generation of a multivariate model identifying parameters associated with prolongation of tMD at a single study center. The second step was the use of a study center-specific multivariate tMD model as a basis for predictive marginal probability analysis; the marginal model allowed for prediction of the degree of ED operations benefit that would be affected with specific ED operations improvements. Methods: The study was conducted using one month (May 2015) of data obtained from an ED administrative database (EDAD) in an urban academic tertiary ED with an annual census of approximately 500,000; during the study month, the ED saw 39,593 cases. The EDAD data were used to generate a multivariate linear regression model assessing the various demographic and operational covariates' effects on the dependent variable tMD. Predictive marginal probability analysis was used to calculate the relative contributions of key covariates as well as demonstrate the likely tMD impact on modifying those covariates with operational improvements. Analyses were conducted with Stata 14MP, with significance defined at p < 0.05 and confidence intervals (CIs) reported at the 95% level. Results: In an acceptable linear regression model that accounted for just over half of the overall variance in tMD (adjusted r² 0.51), important contributors to tMD included shift census (p = 0.008), shift time of day (p = 0.002), and physician coverage n (p = 0.004). These strong associations remained even after adjusting for each other and other covariates. Marginal predictive probability analysis was used to predict the overall tMD impact (improvement from 50 to 43 minutes, p < 0.001) of consistent staffing with 22 physicians. Conclusions: The analysis identified expected variables contributing to tMD with regression demonstrating significance and effect magnitude of alterations in covariates including patient census, shift time of day, and number of physicians. Marginal analysis provided operationally useful demonstration of the need to adjust physician coverage numbers, prompting changes at the study ED. The methods used in this analysis may prove useful in other EDs wishing to analyze operations information with the goal of predicting which interventions may have the most benefit.

Dedication increases productivity: an analysis of the implementation of a dedicated medical team in the emergency department

Background

In several European countries, emergency departments (EDs) now employ a dedicated team of full-time emergency medicine (EM) physicians, with a distinct leadership and bed-side emergency training, in all similar to other hospital departments. In Portugal, however, there are still two very different models for staffing EDs: a classic model, where EDs are mostly staffed with young inexperienced physicians from different medical departments who take turns in the ED in 12-h shifts and a dedicated model, recently implemented in some hospitals, where the ED is staffed by a team of doctors with specific medical competencies in emergency medicine that work full-time in the ED.

Our study assesses the effect of an intervention in a large academic hospital ED in Portugal in 2002, and it is the first to test the hypothesis that implementing a dedicated team of doctors with EM expertise increases the productivity and reduces costs in the ED, maintaining the quality of care provided to patients.

Methods

A pre–post design was used for comparing the change on the organisational model of delivering care in our medical ED. All emergency medical admissions were tracked in 2002 (classic model with 12-h shift in the ED) and 2005/2006 (dedicated team with full-time EM physicians), and productivity, costs with medical human resources and quality of care measures were compared.

Results

We found that medical productivity (number of patients treated per hour of medical work) increased dramatically after the creation of the dedicated team (X²_KW = 31.135; N = 36; p < 0.001) and costs with ED medical work reduced both in regular hours and overtime. Moreover, hospitalisation rates decreased and the length of stay in the ED increased significantly after the creation of the dedicated team.

Conclusions

Implementing a dedicated team of doctors increased the medical productivity and reduced costs in our ED. Our findings have straightforward implication for Portuguese policymakers aiming at reducing hospital costs while coping with increased ED demand.

[Potential for the survey of quality indicators based on a national emergency department registry : A systematic literature search]

BACKGROUND

Emergency department processes are often key for successful treatment. Therefore, collection of quality indicators is demanded. A basis for the collection is systematic, electronic documentation. The development of paper-based documentation into an electronic and interoperable national emergency registry is-besides the establishment of quality management for emergency departments-a target of the AKTIN project. The objective of this research is identification of internationally applied quality indicators.

METHODS

For the investigation of the current status of quality management in emergency departments based on quality indicators, a systematic literature search of the database PubMed, the Cochrane Library and the internet was performed.

RESULTS

Of the 170 internationally applied quality indicators, 25 with at least two references are identified. A total of 10 quality indicators are ascertainable by the data set. An enlargement of the data set will enable the collection of seven further quality indicators. The implementation of data of care behind the emergency processes will provide eight additional quality indicators.

CONCLUSION

This work was able to show that the potential of a national emergency registry for the establishment of quality indicators corresponds with the international systems taken into consideration and could provide a comparable collection of quality indicators.

What Can Emergency Medicine Learn From Kinetics: Introducing an Alternative Evaluation and a Universal Criterion Standard for Emergency Department Performance

This research focuses on developing an improved and robust measurement for emergency department (ED) performance and a criterion standard for global use via kinetic analysis. Based on kinetic approach, the input-throughput-output conceptual model of ED crowding is compared to the procedure of enzyme catalysis. All in average, the retented patients in EDs are defined as substrate (S), whereas the patients who depart the EDs as product (P). Therefore, the average ED departure velocity (V) can be presented as (P)divided by a given time (t) of the ED length of stay (LOS). The S-V and S²-P plots are depicted hourly for the kinetic analysis. The long-term stability of the kinetic parameters is ascertained by the method of coefficient of variation (CV). The participants collected for this study are from the EDs of Changhua Christian Medical Center and the five branched hospitals, all located in Taiwan. Based on the S-V plot analysis, the results clearly show 2 curves, an upper and a lower curve. The timeline of the lower curve includes approximately the total ED busy hours, and thus it can be used for the subsequent kinetic analysis. In order to explore the adequate kinetic parameters for ED performance, the try-and-error process was followed in this study. As a result, the S²-V plots adapted from the lower curves show the best linear regression of S² on V with a good coefficient of determination (R). The Pan-Wen constant (PW), which is the slope of the liner regression line, and the ED medical personnel unit turnover number (EDMPU TON) were deduced from the kinetic meanings of (Equation is included in full-text article.)plots. In this research, the 2 kinetic parameters, PW and EDMPU TON were applied for the ED performance evaluations. An innovative relationship between the ED retented patients and the ED departure velocity is verified as PW; whereas, a feasible kinetic parameter, the EDMPU TON explicates the teamwork efficiency of the ED providers. Moreover, the EDMPU TON may not only be a reliable universal criterion standard for the ED performance, but also a valuable reference for both ED providers and payers.

Selection of quality indicators for hospital-based emergency care in Denmark, informed by a modified-Delphi process

Background

In 2013, Danish policy-makers on a nationwide level decided to set up a national quality of care database for hospital-based emergency care in Denmark including the selection of quality indicators. The aim of the study was to describe the Delphi process that contributed to the selection of quality indicators for a new national database of hospital-based emergency care in Denmark.

Methods

The process comprised a literature review followed by a modified-Delphi survey process, involving a panel of 54 experts (senior clinicians, researchers and administrators from the emergency area and collaborating specialties). Based on the literature review, we identified 43 potential indicators, of which eight were time-critical conditions. We then consulted the Expert panel in two consecutive rounds. The Expert panel was asked to what extent each indicator would be a good measure of hospital-based emergency care in Denmark. In each round, the Expert panel participants scored each indicator on a Likert scale ranging from one (=disagree completely) through to six (=agree completely). Consensus for a quality indicator was reached if the median was greater than or equal to five (=agree). The Delphi process was followed by final selection by the steering group for the new database.

Results

Following round two of the Expert panel, consensus was reached on 32 quality indicators, including three time-critical conditions. Subsequently, the database steering group chose a set of nine quality indicators for the initial version of the national database for hospital-based emergency care.

Conclusions

The two-round modified Delphi process contributed to the selection of an initial set of nine quality indicators for a new a national database for hospital-based emergency care in Denmark. Final selection was made by the database steering group informed by the Delphi process.

Electronic supplementary material

The online version of this article (doi:10.1186/s13049-016-0203-x) contains supplementary material, which is available to authorized users.

Improved quality and efficiency after the introduction of physician-led team triage in an emergency department

BACKGROUND

Overcrowding in the emergency department (ED) may negatively affect patient outcomes, so different triage models have been introduced to improve performance. Physician-led team triage obtains better results than other triage models. We compared efficiency and quality measures before and after reorganization of the triage model in the ED at our county hospital.

MATERIALS AND METHODS

We retrospectively compared two study periods with different triage models: nurse triage in 2008 (baseline) and physician-led team triage in 2012 (follow-up). Physician-led team triage was in use during day-time and early evenings on weekdays. Data were collected from electronic medical charts and the National Mortality Register.

RESULTS

We included 20,073 attendances in 2008 and 23,765 in 2012. The time from registration to physician presentation decreased from 80 to 33 min (P < 0.001), and the length of stay decreased from 219 to 185 min (P < 0.001) from 2008 to 2012, respectively. All of the quality variables differed significantly between the two periods, with better results in 2012. The odds ratio for patients who left before being seen or before treatment was completed was 0.62 (95% confidence interval 0.54-0.72). The corresponding result for unscheduled returns was 0.36 (0.32-0.40), and for the mortality rates within 7 and 30 days 0.72 (0.59-0.88) and 0.84 (0.73-0.97), respectively. The admission rate was 37% at baseline and 32% at follow-up (P < 0.001).

CONCLUSION

Physician-led team triage improved the efficiency and quality in EDs.

Emergency department quality and safety indicators in resource-limited settings: an environmental survey

Background

As global emergency care grows, practical and effective performance measures are needed to ensure high quality care. Our objective was to systematically catalog and classify metrics that have been used to measure the quality of emergency care in resource-limited settings.

Methods

We searched MEDLINE, Embase, CINAHL, and the gray literature using standardized terms. The references of included articles were also reviewed. Two researchers screened titles and abstracts for relevance; full text was then reviewed by three researchers. A structured data extraction tool was used to identify and classify metrics into one of six Institute of Medicine (IOM) quality domains (safe, timely, efficient, effective, equitable, patient-centered) and one of three of Donabedian’s structure/process/outcome categories. A fourth expert reviewer blinded to the initial classifications re-classified all indicators, with a weighted kappa of 0.89.

Results

A total of 1705 articles were screened, 95 received full text review, and 34 met inclusion criteria. One hundred eighty unique metrics were identified, predominantly process (57 %) and structure measures (27 %); 16 % of metrics were related to outcomes. Most metrics evaluated the effectiveness (52 %) and timeliness (28 %) of care, with few addressing the patient centeredness (11 %), safety (4 %), resource-efficiency (3 %), or equitability (1 %) of care.

Conclusions

The published quality metrics in emergency care in resource-limited settings primarily focus on the effectiveness and timeliness of care. As global emergency care is built and strengthened, outcome-based measures and those focused on the safety, efficiency, and equitability of care need to be developed and studied to improve quality of care and resource utilization.

Electronic supplementary material

The online version of this article (doi:10.1186/s12245-015-0088-x) contains supplementary material, which is available to authorized users.

Identifying Patient Door-to-Room Goals to Minimize Left-Without-Being-Seen Rates

Introduction

Emergency department (ED) patients in the leave-without-being-seen (LWBS) group risk problems of inefficiency, medical risk, and financial loss. The goal at our hospital is to limit LWBS to <1%. This study’s goal was to assess the influence on LWBS associated with prolonging intervals between patient presentation and placement in an exam room (DoorRoom time). This study’s major aim was to identify DoorRoom cutoffs that maximize likelihood of meeting the LWBS goal (i.e. <1%).

Methods

We conducted the study over one year (8/13–8/14) using operations data for an ED with annual census ~50,000. For each study day, the LWBS endpoint (i.e. was LWBS <1%: “yes or no”) and the mean DoorRoom time were recorded. We categorized DoorRoom means by intervals starting with ≤10min and ending at >60min. Multivariate logistic regression was used to assess for DoorRoom cutoffs predicting high LWBS, while adjusting for patient acuity (triage scores and admission %) and operations parameters. We used predictive marginal probability to assess utility of the regression-generated cutoffs. We defined statistical significance at p<0.05 and report odds ratio (OR) and 95% confidence intervals (CI).

Results

Univariate results suggested a primary DoorRoom cutoff of 20′, to maintain a high likelihood (>85%) of meeting the LWBS goal. A secondary DoorRoom cutoff was indicated at 35′, to prevent a precipitous drop-off in likelihood of meeting the LWBS goal, from 61.1% at 35′ to 34.4% at 40′. Predictive marginal analysis using multivariate techniques to control for operational and patient-acuity factors confirmed the 20′ and 35′ cutoffs as significant (p<0.001). Days with DoorRoom between 21–35′ were 74% less likely to meet the LWBS goal than days with DoorRoom ≤20′ (OR 0.26, 95% CI [0.13–0.53]). Days with DoorRoom >35′ were a further 75% less likely to meet the LWBS goal than days with DoorRoom of 21–35′ (OR 0.25, 95% CI [0.15–0.41]).

Conclusion

Operationally useful DoorRoom cutoffs can be identified, which allow for rational establishment of performance goals for the ED attempting to minimize LWBS.

[Quality management in emergency departments: Lack of uniform standards for fact-based controlling]

BACKGROUND

The general high occupancy of emergency departments during the winter months of 2014/2015 outlined deficits in health politics. Whether on the regional, province, or federal level, verifiable and accepted figures to enable in depth analysis and fact-based controlling of emergency care systems are lacking.

OBJECTS

As the first step, reasons for the current situation are outlined in order to developed concrete recommendations for individual hospitals.

METHODS

This work is based on a selective literature search with focus on quality management, ratio driven management, and process management within emergency departments as well as personal experience with implementation of a key ratio system in a German maximum care hospital.

RESULTS AND CONCLUSION

The insufficient integration of emergencies into the DRG systematic, the role as gatekeeper between inpatient and outpatient care sector, the decentralized organization of emergency departments in many hospitals, and the inconsistent representation within the medical societies can be mentioned as reasons for the lack of key ratio systems. In addition to the important role within treatment procedures, emergency departments also have an immense economic importance. Consequently, the management of individual hospitals should promote implementation of key ratio systems to enable controlling of emergency care processes. Thereby the perspectives finance, employees, processes as well as partners and patients should be equally considered. Within the process perspective, milestones could be used to enable detailed controlling of treatment procedures. An implementation of key ratio systems without IT support is not feasible; thus, existing digital data should be used and future data analysis should already be considered during implementation of new IT systems.

Development of Performance Dashboards in Healthcare Sector: Key Practical Issues

Background:

Static nature of performance reporting systems in health care sector has resulted in inconsistent, incomparable, time consuming, and static performance reports that are not able to transparently reflect a round picture of performance and effectively support healthcare managers’ decision makings. So, the healthcare sector needs interactive performance management tools such as performance dashboards to measure, monitor, and manage performance more effectively. The aim of this article was to identify key issues that need to be addressed for developing high-quality performance dashboards in healthcare sector.

Methods:

A literature review was established to search electronic research databases, e-journals collections, and printed journals, books, dissertations, and theses for relevant articles. The search strategy interchangeably used the terms of “dashboard”, “performance measurement system”, and “executive information system” with the term of “design” combined with operator “AND”. Search results (n=250) were adjusted for duplications, screened based on their abstract relevancy and full-text availability (n=147) and then assessed for eligibility (n=40). Eligible articles were included if they had explicitly focused on dashboards, performance measurement systems or executive information systems design. Finally, 28 relevant articles included in the study.

Results:

Creating high-quality performance dashboards requires addressing both performance measurement and executive information systems design issues. Covering these two fields, identified contents were categorized to four main domains: KPIs development, Data Sources and data generation, Integration of dashboards to source systems, and Information presentation issues.

Conclusion:

This study implies the main steps to develop dashboards for the purpose of performance management. Performance dashboards developed on performance measurement and executive information systems principles and supported by proper back-end infrastructure will result in creation of dynamic reports that help healthcare managers to consistently measure the performance, continuously detect outliers, deeply analyze causes of poor performance, and effectively plan for the future.

The impact of senior doctor assessment at triage on emergency department performance measures: systematic review and meta-analysis of comparative studies

STUDY QUESTION

To determine if placing a senior doctor at triage versus standard single nurse in a hospital emergency department (ED) improves ED performance by reviewing evidence from comparative design studies using several quality indicators.

DESIGN

Systematic review.

DATA SOURCES

Cochrane Library, MEDLINE, EMBASE, CINAHL, Cochrane Effective Practice and Organisation of Care (EPOC), Web of Science, Clinical Trials Registry website. In addition, references from included studies and citation searches were used to identify relevant studies.

REVIEW METHODS

Databases were searched for comparative studies examining the role of senior doctor triage (SDT), published from 1994 to 2014. Senior doctor was defined as a qualified medical doctor who completed high specialty training in emergency medicine. Articles with a primary aim to investigate the effect of SDT on ED quality indicators such as waiting time (WT), length of stay (LOS), left without being seen (LWBS) and left without treatment complete (LWTC) were included. Articles examining the adverse events and cost associated with SDT were also included. Only studies with a control group, either in a randomised controlled trial (RCT) or in an observational study with historical controls, were included. The systematic literature search was followed by assessment of relevance and risk of bias in each individual study fulfilling the inclusion criteria using the Effective Public Health Practice Project (EPHPP) bias tool. Data extraction was based on a form designed and piloted by the authors for dichotomous and continuous data.

DATA SYNTHESIS

Narrative synthesis and meta-analysis of homogenous data were performed.

RESULTS

Of 4506 articles identified, 25 relevant studies were retrieved; 12 were of the weak pre-post study design, 9 were of moderate quality and 4 were of strong quality. The majority of the studies revealed improvements in ED performance measures favouring SDT. Pooled results from two Canadian RCTs showed a significant reduction in LOS of medium acuity patients (weighted means difference (WMD) -26.26 min, 95% CI -38.50 to -14.01). Another two RCTs revealed a significant reduction in WT (WMD -26.17 min, 95% CI -31.68 to -20.65). LWBS was reduced in two Canadian RCTs (risk ratio (RR)=0.79, 95% CI 0.66 to 0.94). This was echoed by the majority of pre-post study designs. SDT did not change the occurrence of adverse events. No clear benefit of SDT in terms of patient satisfaction or cost effectiveness could be identified.

CONCLUSIONS

This review demonstrates that SDT can be an effective measure to enhance ED performance, although cost versus benefit analysis is needed. The potential high risk of bias in the evidence identified, however, mandates more robust multicentred studies to confirm these findings.

Quality indicators for musculoskeletal injury management in the emergency department: a systematic review

OBJECTIVES

There is increasing importance placed on quality of health care for musculoskeletal injuries in emergency departments (EDs). This systematic review aimed to identify existing musculoskeletal quality indicators (QIs) developed for ED use and to critically evaluate their methodological quality.

METHODS

MEDLINE, EMBASE, CINAHL, and the gray literature, including relevant organizational websites, were searched in 2013. English-language articles were included that described the development of at least one QI related to the ED care of musculoskeletal injuries. Data extraction of each included article was conducted. A quality assessment was then performed by rating each relevant QI against the Appraisal of Indicators through Research and Evaluation (AIRE) Instrument. QIs with similar definitions were grouped together and categorized according to the health care quality frameworks of Donabedian and the Institute of Medicine.

RESULTS

The search revealed 1,805 potentially relevant articles, of which 15 were finally included in the review. The number of relevant QIs per article ranged from one to 11, resulting in a total of 71 QIs overall. Pain (n = 17) and fracture management (n = 13) QIs were predominant. Ten QIs scored at least 50% across all AIRE Instrument domains, and these related to pain management and appropriate imaging of the spine.

CONCLUSIONS

Methodological quality of the development of most QIs is poor. Recommendations for a core set of QIs that address the complete spectrum of musculoskeletal injury management in emergency medicine is not possible, and more work is needed. Currently, QIs with highest methodological quality are in the areas of pain management and medical imaging.

Improvement of clinical quality indicators through reorganization of the acute care by establishing an emergency department-a register study based on data from national indicators

Background

The Emergency Departments (EDs) reorganization process in Denmark began in 2007 and includes creating a single entrance for all emergency patients, establishing triage, having a specialist in the front and introducing the use of electronic overview boards and electronic patient files. The aim of this study was to investigate the quality of acute care in a re-organized ED based on national indicator project data in a pre and post reorganizational setting.

Methods

Quasi experimental design was used to examine the effect of the health care quality in relation to the reorganization of an ED. Patients admitted at Nykøbing Falster Hospital in 2008 or 2012 were included in the study and data reports from the national databases (RKKP) regarding stroke, COPD, heart failure, bleeding and perforated ulcer or hip fracture were analysed. Holbæk Hospital works as a control hospital.

Chi-square test was used for analysing significant differences from pre-and post intervention and Z-test to compare the experimental groups to the control group (HOL). P < 0.05 was considered statistically significant.

Results

We assessed 4584 patient cases from RKKP. A significant positive change was seen in all of the additional eight indicators related to stroke at NFS (P < 0.001); however, COPD indicators were unchanged in both hospitals. In NFS two of eight heart failure indicators were significantly improved after the reorganization (p < 0.01). In patients admitted with a bleeding ulcer 2 of 5 indicators were significantly improved after the reorganization in NFS and HOL (p < 0.01). Both compared hospitals showed significant improvements in the two indicators concerning hip fracture (p < 0.001). Significant reductions in the 30 day-mortality in patients admitted with stroke were seen when the pre- and the post-intervention data were compared for both NFS and HOL (p = 0.024).

Conclusions

During the organisation of the new EDs, several of the indicators improved and the overall 30 days mortality decreased in the five diseases. The development of a common set of indicators for monitoring acute treatment at EDs in Denmark is recommended.

A conceptual framework for improved analyses of 72-hour return cases

For more than 25 years, emergency medicine researchers have examined 72-hour return visits as a marker for high-risk patient visits and as a surrogate measure for quality of care. Individual emergency departments frequently use 72-hour returns as a screening tool to identify deficits in care, although comprehensive departmental reviews of this nature may consume considerable resources. We discuss the lack of published data supporting the use of 72-hour return frequency as an overall performance measure and examine why this is not a valid use, describe a conceptual framework for reviewing 72-hour return cases as a screening tool, and call for future studies to test various models for conducting such quality assurance reviews of patients who return to the emergency department within 72 hours.

Mathematical Modeling of the Impact of Hospital Occupancy: When Do Dwindling Hospital Beds Cause ED Gridlock?

Objectives. The time emergency department (ED) patients spend from presentation to admittance is known as their length of stay (LOS). This study aimed to quantify the inpatient occupancy rate (InptOcc)/ED LOS relationship and develop a methodology for identifying resource-allocation triggers using InptOcc-LOS association-curve inflection points. Methods. This study was conducted over 200 consecutive days at a 700-bed hospital with an annual ED census of approximately 50,000 using multivariate spline (piecewise) regression to model the InptOcc/LOS relationship while adjusting for confounding covariates. Nonlinear modeling was used to assess for InptOcc/LOS associations and determine the inflection point where InptOcc profoundly impacted LOS. Results. At lower InptOcc, there was no association. Once InptOcc reached ≥88%, there was a strong InptOcc/LOS association; each 1% InptOcc increase predicted a 16-minute (95% CI, 12–20 minutes) LOS prolongation, while the confounder-adjusted analysis showed each 1% InptOcc increase >89% precipitating a 13-minute (95% CI, 10–16 minutes) LOS prolongation. Conclusions. The study hospital’s InptOcc was a significant predictor of prolonged ED LOS beyond the identified inflection point. Spline regression analysis identified a clear inflection point in the InptOcc-LOS curve that potentially identified a point at which to optimize inpatient bed availability to prevent increased costs of prolonged LOS.