Dataset Information

Qualitative exploration of patient flow in a Caribbean emergency department.

ABSTRACT:

Objectives

Emergency departments (EDs) are complex adaptive systems and improving patient flow requires understanding how ED processes work. This study aimed to explore the patient flow process in an ED in Trinidad and Tobago, identifying organisational factors influencing patient flow.

Methods

Multiple qualitative methods, including non-participant observations, observational process mapping and informal conversational interviews were used to explore patient flow. The process maps were generated from the observational process mapping. Thematic analysis was used to analyse the data.

Setting

The study was conducted at a major tertiary level ED in Trinidad and Tobago.

Participants

Patient and staff journeys in the ED were directly observed.

Results

Six broad categories were identified: (1) ED organisational work processes, (2) ED design and layout, (3) material resources, (4) nursing staff levels, roles, skill mix and use, (5) non-clinical ED staff and (6) external clinical and non-clinical departments. Within each category there were individual factors that appeared to either facilitate or hinder patient flow. Organisational processes such as streaming, front loading of investigations and the transfer process were pre-existing strategies in the ED while staff actions to compensate for limitations with flow were more intuitive. A conceptual framework of factors influencing ED patient flow is also presented.

Conclusion

The knowledge gained may be used to strengthen the emergency care system in the local context. However, the study findings should be validated in other settings.

SUBMITTER: De Freitas L

PROVIDER: S-EPMC7735135 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Qualitative exploration of patient flow in a Caribbean emergency department.

De Freitas Loren L Goodacre Steve S O'Hara Rachel R Thokala Praveen P Hariharan Seetharaman S

BMJ open 20201212 12

<h4>Objectives</h4>Emergency departments (EDs) are complex adaptive systems and improving patient flow requires understanding how ED processes work. This study aimed to explore the patient flow process in an ED in Trinidad and Tobago, identifying organisational factors influencing patient flow.<h4>Methods</h4>Multiple qualitative methods, including non-participant observations, observational process mapping and informal conversational interviews were used to explore patient flow. The process map ...[more]

PMID: 33310804

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Project description:BackgroundEmergency departments (EDs) are important venues for the distribution of naloxone to patients at high risk of opioid overdose, but less is known about patient perceptions on naloxone or best practices for patient education and communication. Our aim was to conduct an in-depth exploration of knowledge and attitudes toward ED naloxone distribution among patients who received a naloxone prescription.MethodsWe conducted semi-structured telephone interviews with 25 adult participants seen and discharged from three urban, academic EDs in Philadelphia, PA, with a naloxone prescription between November 2020 and February 2021. Interviews focused on awareness of naloxone as well as attitudes and experiences receiving naloxone in the ED. We used thematic content analysis to identify key themes reflecting patient attitudes and experiences.ResultsOf the 25 participants, 72% had previously witnessed an overdose and 48% had personally experienced a non-fatal overdose. Nineteen participants (76%) self-disclosed a history of substance use or overdose, and one reported receiving an opioid prescription during their ED visit and no history of substance use. In interviews, we identified wide variability in participant levels of knowledge about overdose risk, the role of naloxone in reducing risk, and naloxone access. A subset of participants was highly engaged with community harm reduction resources and well versed in naloxone access and use. A second subset was familiar with naloxone, but largely obtained it through healthcare settings such as the ED, while a final group was largely unfamiliar with naloxone. While most participants expressed positive attitudes about receiving naloxone from the ED, the quality of discussions with ED providers was variable, with some participants not even aware they were receiving a naloxone prescription until discharge.ConclusionsNaloxone prescribing in the ED was acceptable and valued by most participants, but there are missed opportunities for communication and education. These findings underscore the critical role that EDs play in mitigating risks for patients who are not engaged with other healthcare or community health providers and can inform future work about the effective implementation of harm reduction strategies in ED settings.

Project description:ObjectivesEmergency department (ED) crowding is an increasing problem associated with adverse patient outcomes. ED expansion is one method advocated to reduce ED crowding. The objective of this analysis was to determine the effect of ED expansion on measures of ED crowding.MethodsThis was a retrospective study using administrative data from two 11-month periods before and after the expansion of an ED from 33 to 53 adult beds in an academic medical center. ED volume, staffing, and hospital admission and occupancy data were obtained either from the electronic health record (EHR) or from administrative records. The primary outcome was the rate of patients who left without being treated (LWBT), and the secondary outcome was total ED boarding time for admitted patients. A multivariable robust linear regression model was used to determine whether ED expansion was associated with the outcome measures.ResultsThe mean (±SD) daily adult volume was 128 (±14) patients before expansion and 145 (±17) patients after. The percentage of patients who LWBT was unchanged: 9.0% before expansion versus 8.3% after expansion (difference = 0.6%, 95% confidence interval [CI] = -0.16% to 1.4%). Total ED boarding time increased from 160 to 180 hours/day (difference = 20 hours, 95% CI = 8 to 32 hours). After daily ED volume, low-acuity area volume, daily wait time, daily boarding hours, and nurse staffing were adjusted for, the percentage of patients who LWBT was not independently associated with ED expansion (p = 0.053). After ED admissions, ED intensive care unit (ICU) admissions, elective surgical admissions, hospital occupancy rate, ICU occupancy rate, and number of operational ICU beds were adjusted for, the increase in ED boarding hours was independently associated with the ED expansion (p = 0.005).ConclusionsAn increase in ED bed capacity was associated with no significant change in the percentage of patients who LWBT, but had an unintended consequence of an increase in ED boarding hours. ED expansion alone does not appear to be an adequate solution to ED crowding.

Project description:OBJECTIVE:The objective of this study is to assess the impact of a multimodal intervention on emergency department (ED) crowding and patient flow in a Dutch level 1 trauma center. METHODS:In this cross-sectional study, we compare ED crowding and patient flow between a 9-month pre-intervention period and a 9-month intervention period, during peak hours and overall (24/7). The multimodal intervention included (1) adding an emergency nurse practitioner (ENP) and (2) five medical specialists during peak hours to the 24/7 available emergency physicians (EPs), (3) a Lean programme to improve radiology turnaround times, and (4) extending the admission offices' openings hours. Crowding is measured with the modified National ED OverCrowding Score (mNEDOCS). Furthermore, radiology turnaround times, patients' length of stay (LOS), proportion of patients leaving without being seen (LWBS) by a medical provider, and unscheduled representations are assessed. RESULTS:The number of ED visits were grossly similar in the two periods during peak hours (15,558 ED visits in the pre-intervention period and 15,550 in the intervention period) and overall (31,891 ED visits in the pre-intervention period vs. 32,121 in the intervention period). During peak hours, ED crowding fell from 18.6% (pre-intervention period) to 3.5% (intervention period), radiology turnaround times decreased from an average of 91?min (interquartile range 45-256?min) to 50?min (IQR 30-106?min., p <?0.001) and LOS reduced with 13?min per patient from 167 to 154?min (p <?0.001). For surgery, neurology and cardiology patients, LOS reduced significantly (with 17?min, 25?min, and 8?min. respectively), while not changing for internal medicine patients. Overall, crowding, radiology turnaround times and LOS also decreased. Less patients LWBS in the intervention period (270 patients vs. 348 patients, p <?0.001) and less patients represented unscheduled within 1 week after the initial ED visit: 864 (2.7%) in the pre-intervention period vs. 645 (2.0%) patients in the intervention period, p <?0.001. CONCLUSIONS:In this hospital, a multimodal intervention successfully reduces crowding, radiology turnaround times, patients' LOS, number of patients LWBS and the number of unscheduled return visits, suggesting improved ED processes. Further research is required on total costs of care and long-term effects.

Project description:BackgroundEmergency department (ED) crowding and prolonged lengths of stay continue to be important medical issues. It is difficult to apply traditional methods to analyze multiple streams of the ED patient management process simultaneously. The aim of this study was to develop a statistical model to delineate the dynamic patient flow within the ED and to analyze the effects of relevant factors on different patient movement rates.MethodsThis study used a retrospective cohort available with electronic medical data. Important time points and relevant covariates of all patients between January and December 2013 were collected. A new five-state Markov model was constructed by an expert panel, including three intermediate states: triage, physician management, and observation room and two final states: admission and discharge. A day was further divided into four six-hour periods to evaluate dynamics of patient movement over time.ResultsA total of 149,468 patient records were analyzed with a median total length of stay being 2.12 (interquartile range = 6.51) hours. The patient movement rates between states were estimated, and the effects of the age group and triage level on these movements were also measured. Patients with lower acuity go home more quickly (relative rate (RR): 1.891, 95% CI: 1.881-1.900) but have to wait longer for physicians (RR: 0.962, 95% CI: 0.956-0.967) and admission beds (RR: 0.673, 95% CI: 0.666-0.679). While older patients were seen more quickly by physicians (RR: 1.134, 95% CI: 1.131-1.139), they spent more time waiting for the final state (for admission RR: 0.830, 95% CI: 0.821-0.839; for discharge RR: 0.773, 95% CI: 0.769-0.776). Comparing the differences in patient movement rates over a 24-hour day revealed that patients wait longer before seen by physicians during the evening and that they usually move from the ED to admission afternoon. Predictive dynamic illustrations show that six hours after the patients' entry, the probability of still in the ED system ranges from 28% in the evening to 38% in the morning.ConclusionsThe five-state model well described the dynamic ED patient flow and analyzed the effects of relevant influential factors at different states. The model can be used in similar medical settings or incorporate different important covariates to develop individually tailored approaches for the improvement of efficiency within the health professions.

Dataset Information

Qualitative exploration of patient flow in a Caribbean emergency department.

Objectives

Methods

Setting

Participants

Results

Conclusion

Publications

Qualitative exploration of patient flow in a Caribbean emergency department.

Similar Datasets

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