Interruption of Initial Patient Assessment in the Emergency Department and its Effect on Patient Perception of Care Quality

Author(s):  
Kimberly D Johnson ◽  
Christopher J Lindsell ◽  
Craig Froehle ◽  
Gordon Lee Gillespie

ABSTRACT Background Triage is a critical first step in appropriately caring for patients in the emergency department. Patients’ assumptions of the care they will receive can be established in triage. Interruptions to this process can disrupt patient flow, cause errors and lead to patient dissatisfaction. The purpose of this study was to determine how the frequency and duration of interruptions during triage are associated with errors, patient satisfaction, and patient’s perception of the care they received. Methods Prospective, observational, cohort study conducted in the emergency department of a Level 1 trauma center. Interruptions were measured using time-and-motion observations of triage interviews performed by nurses and physicians. Patients were surveyed immediately after triage interviews were complete. Results Surveys were completed for 178 observations. 62.9% of the observations were interrupted between 1 and 5 times. While interruptions did not significantly influence patient satisfaction directly, interruptions positively influenced triage duration, which was negatively associated with patient satisfaction. Increased errors were associated with increasing frequency of triage interruptions. Triage interruptions were not associated with either patient satisfaction or perceived caregiver competence. Overall, the majority (76.6%) of patients were satisfied with their care; patient satisfaction was associated with the perceived competency of caregivers but was not associated with errors. Conclusion Interruptions are associated with increased errors and delays in patient care. Although increased triage duration adversely affected patient satisfaction, patients’ perceptions were not influenced by interruptions. While patient satisfaction is essential, the lack of association between patient satisfaction and errors suggests that using patient satisfaction as a measure of care quality may omit important safety information.

2020 ◽  
pp. 102490792093170
Author(s):  
Ng Hing Yin ◽  
Fan Kin Ping ◽  
Lo Chor Man

Background: In a busy local emergency department, patients with certain non-life-threatening conditions which only require relatively quick and straightforward management may encounter long waiting times. A new service model called the “Fast Track” Nursing Service attempts to lessen the service load of the regular service queues and to improve patient outcomes. Objectives: This article reports the service outcomes of the Fast Track Nursing Service. Methods: Nurses at our department are selected and trained under clinical protocols specially developed for this service. Assessments and quality assurance audits ensure the quality of service. Results: This service resulted in comparatively shorter waiting times for patients included in predetermined clinical protocols. There was also a high level of patient satisfaction with this service. Conclusion: Our Fast Track Enhanced Nursing service is a model of tailored service diversification to shorten waiting times, thus improving patient satisfaction and outcome.


2019 ◽  
Vol 19 (4) ◽  
pp. 26-30
Author(s):  
Yu. P. Linets ◽  
S. V. Artyukhov ◽  
T. E. Zaitseva

The article is devoted to the mechanisms and epidemiological aspects and diseases arriving in emergency department patients. On the basis of the conducted analysis, identified promising group to increase patient flow in the emergency department. The problems identified in the course of work and ways of their solution.


2020 ◽  
Vol 7 (6) ◽  
pp. 915-919
Author(s):  
Charles Washington ◽  
Stephanie Benvengo ◽  
Kathleen Lynch

The relationship between patient satisfaction, care compliance, and treatment outcomes suggests patients who report dissatisfaction perceive receipt of suboptimal care. Patient satisfaction plays a role in defining quality of care, affecting institutional reimbursement and reputation capital. Using an explanatory sequential mixed methodology approach, this study explored frontline management’s role in effective service recovery, actively addressing instances of patient dissatisfaction to improve the overall patient experience. A survey of frontline managers, document and artifact reviews, and probing interviews identify the importance of consistent performance measurement, feedback, and frequent leadership training on the relevance and importance of service recovery.


Healthcare ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1369
Author(s):  
Afiq Izzudin A. Rahim ◽  
Mohd Ismail Ibrahim ◽  
Kamarul Imran Musa ◽  
Sook-Ling Chua ◽  
Najib Majdi Yaacob

Social media sites, dubbed patient online reviews (POR), have been proposed as new methods for assessing patient satisfaction and monitoring quality of care. However, the unstructured nature of POR data derived from social media creates a number of challenges. The objectives of this research were to identify service quality (SERVQUAL) dimensions automatically from hospital Facebook reviews using a machine learning classifier, and to examine their associations with patient dissatisfaction. From January 2017 to December 2019, empirical research was conducted in which POR were gathered from the official Facebook page of Malaysian public hospitals. To find SERVQUAL dimensions in POR, a machine learning topic classification utilising supervised learning was developed, and this study’s objective was established using logistic regression analysis. It was discovered that 73.5% of patients were satisfied with the public hospital service, whereas 26.5% were dissatisfied. SERVQUAL dimensions identified were 13.2% reviews of tangible, 68.9% of reliability, 6.8% of responsiveness, 19.5% of assurance, and 64.3% of empathy. After controlling for hospital variables, all SERVQUAL dimensions except tangible and assurance were shown to be significantly related with patient dissatisfaction (reliability, p < 0.001; responsiveness, p = 0.016; and empathy, p < 0.001). Rural hospitals had a higher probability of patient dissatisfaction (p < 0.001). Therefore, POR, assisted by machine learning technologies, provided a pragmatic and feasible way for capturing patient perceptions of care quality and supplementing conventional patient satisfaction surveys. The findings offer critical information that will assist healthcare authorities in capitalising on POR by monitoring and evaluating the quality of services in real time.


2015 ◽  
Vol 06 (04) ◽  
pp. 619-628 ◽  
Author(s):  
R. El-Kareh ◽  
G. Schiff ◽  
J. Hudspeth

Summary Objective: Missed diagnoses are an important area of care quality resulting in significant morbidity and mortality. Determination of rates and causes has been limited by difficulties in screening, including the effort of manual chart review. We developed and tested a semi- automated review tool to expedite screening for diagnostic errors in an electronic health record (EHR). Methods: We retrospectively reviewed patients seen in the emergency department (ED) of a teaching hospital over 31 days, using an automated screen to identify those with a prior in-system visit during the 14 days preceding their ED visit. We collected prior and subsequent notes from the institution’s EHR for these cases, then populated a specially designed relational database enabling rapid comparison of prior visit records to the sentinel ED visit. Each case was assessed for potential missed or delayed diagnosis, and rated by likelihood as “definite, probable, possible, unlikely or none.” Results: A total of 5 066 patient encounters were screened by a clinician using the tool, of which 1 498 (30%) had a clinical encounter within the preceding 14 days. Of these, 37 encounters (2.6% of those reviewed) were “definite” or “probable” missed diagnoses. The rapid review tool took a mean of 1.9 minutes per case for primary review, compared with 11.2 minutes per case for reviews without the automated tool. Conclusions: Diagnostic errors were present in a significant number of cases presenting to the ED after recent healthcare visits. An innovative review tool enabled a substantially increased efficiency in screening for diagnostic errors.


2011 ◽  
Vol 26 (S1) ◽  
pp. s34-s35 ◽  
Author(s):  
D. Schwartz ◽  
B. Ronen ◽  
J.S. Pliskin ◽  
A. Goldberg

IntroductionEmergency department overcrowding plagues departments worldwide with grave implications on patient comfort and care quality. Many standard approaches have been introduced without widespread success. A new approach is required. Focused Operations Management (FM) integrates novel managerial theories and practical tools into a systematic approach to complex systems, promoting insight and improving performance. It has allowed systems in the industry and service sectors to radically improve throughput and quality with no or little additional cost. The implementation of the FM in the emergency department setting to alleviate overcrowding has never been attempted, and it could revolutionize emergency department operations management.MethodsEmergency department patient flow data affecting factors and outcomes from a large tertiary medical center, exclusively utilizing electronic patient records, will be collected. Root causes and influencing variables of emergency department overcrowding will be mapped and analyzed using FM tools. Later, alleviating measures will be developed and evaluated. During phase two, data will be collected from two additional emergency departments, measuring the impact of implementation of FM operational changes on emergency department flow parameters such as length of stay, wait times, clinical outcomes, and patient and staff satisfaction.ResultsData collection and analysis of phase one of the study will be completed by March 2011 and presented at the conference. The authors speculate that the FM tools will allow better understanding of the root causes and affecting variables of emergency department overcrowding and help plan and later implement efficient interventions.DiscussionThe implementation of the novel management strategies of FM has revolutionized operations in many industries and services, helping them to drastically improve performance. The emergency department is a perfect candidate for the use of these tools, due to the overwhelming current operational difficulties (with overcrowding as a prominent symptom) and its complex high volume and high acuity patient flow.


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