Dataset Information

Hospital Strategies for Reducing Emergency Department Crowding: A Mixed-Methods Study.

ABSTRACT: STUDY OBJECTIVE:Emergency department (ED) crowding and patient boarding are associated with increased mortality and decreased patient satisfaction. This study uses a positive deviance methodology to identify strategies among high-performing, low-performing, and high-performance improving hospitals to reduce ED crowding. METHODS:In this mixed-methods comparative case study, we purposively selected and recruited hospitals that were within the top and bottom 5% of Centers for Medicare & Medicaid Services case-mix-adjusted ED length of stay and boarding times for admitted patients for 2012. We also recruited hospitals that showed the highest performance improvement in metrics between 2012 and 2013. Interviews were conducted with 60 key leaders (physicians, nurses, quality improvement specialists, and administrators). RESULTS:We engaged 4 high-performing, 4 low-performing, and 4 high-performing improving hospitals, matched on hospital characteristics including geographic designation (urban versus rural), region, hospital occupancy, and ED volume. Across all hospitals, ED crowding was recognized as a hospitalwide issue. The strategies for addressing ED crowding varied widely. No specific interventions were associated with performance in length-of-stay metrics. The presence of 4 organizational domains was associated with hospital performance: executive leadership involvement, hospitalwide coordinated strategies, data-driven management, and performance accountability. CONCLUSION:There are organizational characteristics associated with ED decreased length of stay. Specific interventions targeted to reduce ED crowding were more likely to be successfully executed at hospitals with these characteristics. These organizational domains represent identifiable and actionable changes that other hospitals may incorporate to build awareness of ED crowding.

SUBMITTER: Chang AM

PROVIDER: S-EPMC5828915 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Hospital Strategies for Reducing Emergency Department Crowding: A Mixed-Methods Study.

Chang Anna Marie AM Cohen Deborah J DJ Lin Amber A Augustine James J Handel Daniel A DA Howell Eric E Kim Hyunjee H Pines Jesse M JM Schuur Jeremiah D JD McConnell K John KJ Sun Benjamin C BC

Annals of emergency medicine 20170826 4

<h4>Study objective</h4>Emergency department (ED) crowding and patient boarding are associated with increased mortality and decreased patient satisfaction. This study uses a positive deviance methodology to identify strategies among high-performing, low-performing, and high-performance improving hospitals to reduce ED crowding.<h4>Methods</h4>In this mixed-methods comparative case study, we purposively selected and recruited hospitals that were within the top and bottom 5% of Centers for Medicar ...[more]

PMID: 28844764

Similar Datasets

Project description:BackgroundEmergency department utilization and crowding is increasing, putting additional pressure on emergency medicine (EM) residency programs to train efficient residents who can meet these demands. Specific practices associated with resident efficiency have yet to be identified. The objective of this study was to identify practices associated with enhanced efficiency in EM residents.MethodsA mixed-methods study design was utilized to identify behaviors associated with resident efficiency. In Stage 1, eight EM faculty provided 61 efficiency behaviors during semistructured interviews, which were prioritized into eight behaviors by independent ranking. A total of 31 behaviors were tested, including additions from previous literature and the study team. In Stage 2, two 4-hour observations during separate shifts of 27 EM residents were performed to record minute-by-minute timing and frequency of each behavior. In Stage 3, the association between resident efficiency and each of the behaviors was estimated using multivariable regression models adjusted for training year and clustered on resident. The primary efficiency outcome was 6-month average relative value units/hour. A sensitivity analysis was performed using patients/hour.ResultsSeven practices were positively associated with efficiency: average patient load, taking initial patient history with nurse present (number/hour, number/new patient), running the board (number/hour), conversations with other care team members (number/hour, % time), dictation use (number/hour, % time), smartphone text communication (number/hour, % time), and nonwork tasks (number/hour). Three practices were negatively associated with efficiency: visits to patient room (number/patient), conversations with attending physicians (% time), and reviewing electronic medical record (number/hour).ConclusionSeveral discrete behaviors were found to be associated with enhanced resident efficiency. These results can be utilized by EM residency programs to improve resident education and inform evaluations by providing specific, evidence-based practices for residents to develop and improve upon throughout training.

Project description:BackgroundPersonal health records (PHRs) can be useful in the emergency department, as they provide patient information in an accurate and timely manner and enable it to be used actively. This has an effect on patients' health outcomes and patient experience. Despite the importance of PHRs in emergencies, there are only a few studies related to PHRs in emergencies that evaluate patient experience.ObjectiveThis study aims to introduce the novel mobile PHR (mPHR) platform to emergency environments and assess user experience.MethodsThe study was conducted from October 2019 to November 2019. In total, 1000 patients or carers in the emergency departments of 3 hospitals were provided an application-based service called FirstER, which was developed to collect and utilize medical information for patients in the emergency department. This study was performed as a mixed methods study. After using FirstER, we investigated its usability and conducted a survey on the experience of obtaining medical information with a legacy system and with FirstER. Additionally, we interviewed 24 patients to gain insight into their experiences regarding medical information using FirstER. For the quantitative analysis, the survey results were analyzed using descriptive statistics (mean and standard deviation). For the qualitative analysis, we determined the keywords and their frequencies from each survey question and interview question.ResultsIn total, 1000 participants, consisting of both patients and carers, were recruited in this study. Their mean age was 41.4 (SD 13.3) years. We ascertained participants' satisfaction with FirstER and their mPHR needs through a survey and an in-depth interview. With the current system, participants were not well aware of their health conditions and medical information, and they were passive in the use of their medical information and treatment. However, they wanted their medical information for several reasons, such as information sharing and managing their health conditions. FirstER provided participants with their needed information and an easy way to access it. The mean System Usability Scale (SUS) value was 67.1 (SD 13.8), which was considered very near to acceptable.ConclusionsThis study is the first to implement mPHRs in the emergency department of large tertiary hospitals in the Republic of Korea. FirstER was found to enhance user experience in emergencies, as it provided necessary medical information and proper user experience. Moreover, the average SUS was 67.1, which means that participants found FirstER to be very near to acceptable. This is very encouraging in that FirstER was developed within a very short time, and it was a pilot study.Trial registrationClinicaltrials.gov NCT04180618; https://clinicaltrials.gov/ct2/show/NCT04180618.

Project description:BackgroundAdherence to evidence-based antibiotic therapy guidelines for treatment of upper respiratory tract infections (URIs) varies widely among clinicians. Understanding this variability is key for reducing inappropriate prescribing.ObjectiveTo measure how emergency department (ED) clinicians' perceptions of antibiotic prescribing risks affect their decision-making.DesignClinician survey based on fuzzy-trace theory, a theory of medical decision-making, combined with retrospective data on prescribing outcomes for URI/pneumonia visits in two EDs. The survey predicts the categorical meanings, or gists, that individuals derive from given information.ParticipantsED physicians, residents, and physician assistants (PAs) who completed surveys and treated patients with URI/pneumonia diagnoses between August 2014 and December 2015.Main measuresGists derived from survey responses and their association with rates of antibiotic prescribing per visit.Key resultsOf 4474 URI/pneumonia visits, 2874 (64.2%) had an antibiotic prescription. However, prescribing rates varied from 7% to 91% for the 69 clinicians surveyed (65.2% response rate). Clinicians who framed therapy-prescribing decisions as a categorical choice between continued illness and possibly beneficial treatment ("why not take a risk?" gist, which assumes antibiotic therapy is essentially harmless) had higher rates of prescribing (OR 1.28 [95% CI, 1.06-1.54]). Greater agreement with the "antibiotics may be harmful" gist was associated with lower prescribing rates (OR 0.81 [95% CI, 0.67-0.98]).ConclusionsOur results indicate that clinicians who perceive prescribing as a categorical choice between patients remaining ill or possibly improving from therapy are more likely to prescribe antibiotics. However, this strategy assumes that antibiotics are essentially harmless. Clinicians who framed decision-making as a choice between potential harms from therapy and continued patient illness (e.g., increased appreciation of potential harms) had lower prescribing rates. These results suggest that interventions to reduce inappropriate prescribing should emphasize the non-negligible possibility of serious side effects.

Dataset Information

Hospital Strategies for Reducing Emergency Department Crowding: A Mixed-Methods Study.

Publications

Hospital Strategies for Reducing Emergency Department Crowding: A Mixed-Methods Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets