Impact of opening a new emergency department on healthcare service and patient outcomes: analyses based on linking ambulance, emergency and hospital databases

Unique patterns of healthcare utilization following the opening of the Samson Assuta Ashdod University Hospital

Our aim was to examine the influence of the market entry of Samson Assuta Ashdod University Hospital on community and hospital-based healthcare utilization (HCU). A retrospective study was conducted among Maccabi Health Services enrollees in the regions of Ashdod (n = 94,575) and Netanya (control group, n = 80,200) before and after this market entry. Based on difference-in-differences framework, we examined the change in HCU of Ashdod region's enrollees compared to the control group and following the market entry using multivariable generalized estimating equations models. Our results revealed that, as hypothesized, after the market entry and compared to the control group, there was a 4% increase in specialists visits not requiring referral (RR = 1.04, 95% CI 1.03-1.06, p < 0.001), a 4% increase in MRI and CT scans (RR = 1.04, 95% CI 1.01-1.08, p = 0.022), and a 33% increase in emergency room visits (RR = 1.33, 95% CI 1.29-1.38, p < 0.001). Unexpectedly, no changes were observed in the number of hospital admissions (RR = 1.05, 95% CI 0.97-1.14, p = 0.250), and hospitalization days (RR = 0.99, 95% CI 0.94-1.04, p = 0.668). Moreover, and unexpectedly, there was a 1% decrease in primary care physician visits (RR = 0.99, 95% CI 0.98-1.00, p = 0.002), a 11% decrease in specialists visits requiring a referral (RR = 0.89, 95% CI 0.86-0.91, p < 0.001), and a 42% decrease in elective surgeries (RR = 0.58, 95% CI 0.55-0.60, p < 0.001). We conclude that this market entry was not translated to an increase in utilization of all services. The unique model of maintaining the continuity of care that was adopted by the hospital and patients' loyalty may led to the unique inter-relationship between the hospital and community care.

Linking Ambulance Trip and Emergency Department Surveillance Data on Opioid-Related Overdose, Massachusetts, 2017

OBJECTIVES

Studies describing linkage of ambulance trips and emergency department (ED) visits of patients with opioid-related overdose (ORO) are limited. We linked records of patients experiencing ORO from ambulance trip and ED visit records in Massachusetts during April 1-June 30, 2017.

METHODS

We estimated the positive predictive value of ORO-capturing definitions by examining the narratives and triage notes of a sample of OROs from each data source. Because of a lack of common unique identifiers, we deterministically linked OROs to records in the counter data set on date of birth, incident date, facility, and sex. To validate the linkage strategy, we compared ambulance trip narratives with ED triage notes and chief complaints for a sample of pairs.

RESULTS

Of 3203 ambulance trips for ORO and 3046 ED visits for ORO, 82% and 63%, respectively, matched a record in the counter data set on date of birth, incident date, facility, and sex. In 200 randomly selected linked pairs from a final linked data set of 3006 paired records, only 5 (3%) appeared to be false matches.

PRACTICE IMPLICATIONS

This exercise demonstrated the feasibility of linking ORO records between 2 data sets without a unique identifier. Future analyses of the linked data could produce insights not available from analyzing either data set alone. Linkage using 2 rapidly available data sets can actively inform the state's public health opioid overdose response and allow for de-duplicating counts of OROs treated by ambulance, in an ED, or both.

Challenges, consequences, and lessons for way-outs to emergencies at hospitals: a systematic review study

Background

Emergency Department (ED) overcrowding adversely affects patients’ health, accessibility, and quality of healthcare systems for communities. Several studies have addressed this issue. This study aimed to conduct a systematic review study concerning challenges, lessons and way outs of clinical emergencies at hospitals.

Methods

Original research articles on crowding of emergencies at hospitals published from 1st January 2007, and 1st August 2018 were utilized. Relevant studies from the PubMed and EMBASE databases were assessed using suitable keywords. Two reviewers independently screened the titles, abstracts and the methodological validity of the records using data extraction format before their inclusion in the final review. Discussions with the senior faculty member were used to resolve any disagreements among the reviewers during the assessment phase.

Results

Out of the total 117 articles in the final record, we excluded 11 of them because of poor quality. Thus, this systematic review synthesized the reports of 106 original articles. Overall 14, 55 and 29 of the reviewed refer to causes, effects, and solutions of ED crowding, respectively. The review also included four articles on both causes and effects and another four on causes and solutions. Multiple individual patients and healthcare system related challenges, experiences and responses to crowding and its consequences are comprehensively synthesized.

Conclusion

ED overcrowding is a multi-facet issue which affects by patient-related factors and emergency service delivery. Crowding of the EDs adversely affected individual patients, healthcare delivery systems and communities. The identified issues concern organizational managers, leadership, and operational level actions to reduce crowding and improve emergency healthcare outcomes efficiently.

Using deterministic record linkage to link ambulance and emergency department data: is it possible without patient identifiers? A case study from the UK

INTRODUCTION

Routine linkage of emergency ambulance records with those from the emergency department is uncommon in the UK. Our study, known as the Pre-Hospital Emergency Department Data Linking Project (PHED Data), aimed to link records of all patients conveyed by a single emergency ambulance service to thirteen emergency departments in the UK from 2012-2016.

OBJECTIVES

We aimed to examine the feasibility and resource requirements of collecting de-identified emergency department patient record data and, using a deterministic matching algorithm, linking it to ambulance service data.

METHODS

We used a learning log to record contacts and activities undertaken by the research team to achieve data linkage. We also conducted semi-structured interviews with information management/governance staff involved in the process.

RESULTS

We found that five steps were required for successful data linkage for each hospital trust. The total time taken to achieve linkage was a mean of 65 weeks. A total of 958,057 emergency department records were obtained and, of these, 81% were linked to a corresponding ambulance record. The match rate varied between hospital trusts (50%-94%). Staff expressed strong enthusiasm for data linkage. Barriers to successful linkage were mainly due to inconsistencies between and within acute trusts in the recording of two ambulance event identifiers (CAD and call sign). Further data cleaning was required on emergency department fields before full analysis could be conducted. Ensuring the data was not re-identifiable limited validation of the matching method.

CONCLUSION

We conclude that deterministic record linkage based on the combination of two event identifiers (CAD and call sign) is possible. There is an appetite for data linkage in healthcare organisations but it is a slow process. Developments in standardising the recording of emergency department data are likely to improve the quality of the resultant linked dataset. This would further increase its value for providing evidence to support improvements in health care delivery.

HIGHLIGHTS

Ambulance records are rarely linked to other datasets; this study looks at the feasibility and resource requirement to use deterministic matching to link ambulance and emergency department data for patients conveyed by ambulance to the emergency department.It is possible to link these data, with an average match rate of 81% across 13 emergency departments and one large ambulance trust.All trusts approached provided match-able data and there was an appetite for data linkage; however, it was a long process taking an average of 65 weeks.We conclude that deterministic matching using no patient identifiers can be used in this setting.

A review on ambulance offload delay literature

Ambulance offload delay (AOD) occurs when care of incoming ambulance patients cannot be transferred immediately from paramedics to staff in a hospital emergency department (ED). This is typically due to emergency department congestion. This problem has become a significant concern for many health care providers and has attracted the attention of many researchers and practitioners. This article reviews literature which addresses the ambulance offload delay problem. The review is organized by the following topics: improved understanding and assessment of the problem, analysis of the root causes and impacts of the problem, and development and evaluation of interventions. The review found that many researchers have investigated areas of emergency department crowding and ambulance diversion; however, research focused solely on the ambulance offload delay problem is limited. Of the 137 articles reviewed, 28 articles were identified which studied the causes of ambulance offload delay, 14 articles studied its effects, and 89 articles studied proposed solutions (of which, 58 articles studied ambulance diversion and 31 articles studied other interventions). A common theme found throughout the reviewed articles was that this problem includes clinical, operational, and administrative perspectives, and therefore must be addressed in a system-wide manner to be mitigated. The most common intervention type was ambulance diversion. Yet, it yields controversial results. A number of recommendations are made with respect to future research in this area. These include conducting system-wide mitigation intervention, addressing root causes of ED crowding and access block, and providing more operations research models to evaluate AOD mitigation interventions prior implementations. In addition, measurements of AOD should be improved to assess the size and magnitude of this problem more accurately.

Trends in mortality associated with opening of a full-capacity public emergency department at the main tertiary-level hospital in Tanzania

Background

Emergency medicine is an emerging specialty in Sub-Saharan Africa, and most hospitals do not have a fully functional emergency department (ED). We describe the mortality rates of the Muhimbili National Hospital (MNH) in Dar es Salaam, Tanzania before and after the opening of a full-capacity ED.

Methods

This retrospective study investigated ED and hospital mortality rates for patients admitted to MNH from January 2008 to January 2012. This period represents 2 years before and 2 years after the opening of the full-capacity ED in January 2010. Trained abstractors analyzed patient care logbooks, attendance registers, nurse report books, and death certificates. The January 2008 to December 2009 data are from the limited-capacity casualty room (precursor of the ED), and for February 2010 to January 2012, they are from the new ED. Data are presented as proportions or differences with 95 % confidence intervals (CIs).

Results

During the 4-year study period, the number of visits increased from 53,660 (January 2008 to December 2009) in the casualty room to 77,164 (February 2010 to January 2012) in the new ED. During this time, the overall hospital mortality rate decreased from 13.6 % (95 % CI 13.3–13.9 %) in the January 2008 to December 2009 period to 8.2 % (95 % CI 8.0–8.3 %) in the February 2010 to January 2012 period. The corresponding casualty room and ED mortality rates were 0.34 % (95 % CI 0.25–0.35 %) and 0.74 % (95 % CI 0.68–0.80 %), respectively. In the casualty room, the most commonly reported cause of death was lower respiratory tract infection and least common was poisoning. In the new ED, the most commonly reported cause of death was congestive cardiac failure and the least common was cancer.

Conclusions

The opening of a full-capacity ED in a tertiary-level hospital in sub-Saharan Africa was associated with a significant decrease in hospital mortality. This is despite a small, but significant, increase in the mortality rate in the ED as compared to that in the casualty room that it replaced.