Code De-Escalation: Decreasing restraint use during agitation management in a community hospital emergency department.

INTRODUCTION: Restraint use in the emergency department (ED) can pose significant risks to patients and health care workers. We evaluate the effectiveness of Code De-escalation- a standardized, team-based approach for management and assessment of threatening behaviors- in reducing physical restraint use and workplace violence in a community ED. METHODS: A retrospective observational study of a pathway on physical restraint use among patients placed on an involuntary psychiatric hold in a community ED. This pathway includes a built-in step for the team members to systematically assess perceptions of threats from the patient behavior and threats perceived by the patient. Our primary outcome was the change in the rate of physical restraint use among patients on an involuntary psychiatric hold. Our secondary outcome was the change in the rate of workplace violence events involving all ED encounters. We evaluated our outcomes by comparing all encounters in a ten-month period before and after implementation, and compared our results to rates at neighboring community hospitals within the same hospital network. RESULTS: Pre intervention there were 434 ED encounters involving a psychiatric hold, post-intervention there were 535. We observed a significant decrease in physical restraint use, from 7.4% to 3.7% (ARR 0.028 [95% CI 0.002-0.055], p < 0.05). This was not seen at the control sites. CONCLUSIONS: A standardized de-escalation algorithm can be effective in helping ED's decrease their use of physical restraints in management of psychiatric patients experiencing agitation.

Analysis of health inequities in transfers of admitted patients from an academic emergency department to partner community hospital.

BACKGROUND: Many academic medical centers (AMC) transfer patients who require admission but not tertiary care to partner community hospitals from their emergency departments (ED). These transfers alleviate ED boarding but may worsen existing healthcare disparities. We assessed whether disparities exist in the transfer of patients from one AMC ED to a community hospital General Medical Service. METHODS: We performed a retrospective cohort study on all patients screened for transfer between April 1 and December 31, 2021. During the screening process, the treating ED physician determines whether the patient meets standardized clinical criteria and a patient coordinator requests patient consent. We collected patient demographics data from the electronic health record and performed logistic regression at each stage of the transfer process to analyze how individual characteristics impact the odds of proceeding with transfer. RESULTS: 5558 patients were screened and 596 (11%) ultimately transferred. 1999 (36%) patients were Black or Hispanic, 698 (12%) had a preferred language other than English, and 956 (17%) were on Medicaid or uninsured. A greater proportion of Black and Hispanic patients were deemed eligible for interhospital transfer compared to White patients and a greater proportion of Hispanic patients completed transfer to the community hospital (p < 0.017 after Bonferroni correction). After accounting for other demographic variables, patients older than 50 (OR 1.21, 95% CI 1.04-1.40), with a preferred language other than English (OR 1.27, 95% CI 1.00-1.62), and from a priority neighborhood (OR 1.38, 95% CI 1.18-1.61) were more likely to be eligible for transfer, while patients who were male (OR 1.50, 95% CI 1.10-2.05) and younger than 50 (OR 1.85, 95% CI 1.20-2.78) were more likely to consent to transfer (p < 0.05). CONCLUSION: Health disparities exist in the screening process for our interfacility transfer program. Further investigation into why these disparities exist and mitigation strategies should be undertaken.

Critical care capacity and care bundles on medical wards in Malawi: a cross-sectional study.

INTRODUCTION: As low-income countries (LICs) shoulder a disproportionate share of the world's burden of critical illnesses, they must continue to build critical care capacity outside conventional intensive care units (ICUs) to address mortality and morbidity, including on general medical wards. A lack of data on the ability to treat critical illness, especially in non-ICU settings in LICs, hinders efforts to improve outcomes. METHODS: This was a secondary analysis of the cross-sectional Malawi Emergency and Critical Care (MECC) survey, administered from January to February 2020, to a random sample of nine public sector district hospitals and all four central hospitals in Malawi. This analysis describes inputs, systems, and barriers to care in district hospitals compared to central hospital medical wards, including if any medical wards fit the World Federation of Intensive and Critical Care Medicine (WFSICCM) definition of a level 1 ICU. We grouped items into essential care bundles for service readiness compared using Fisher's exact test. RESULTS: From the 13 hospitals, we analysed data from 39 medical ward staff members through staffing, infrastructure, equipment, and systems domains. No medical wards met the WFSICCM definition of level 1 ICU. The most common barriers in district hospital medical wards compared to central hospital wards were stock-outs (29%, Cl: 21% to 44% vs 6%, Cl: 0% to 13%) and personnel shortages (40%, Cl: 24% to 67% vs 29%, Cl: 16% to 52%) but central hospital wards reported a higher proportion of training barriers (68%, Cl: 52% to 73% vs 45%, Cl: 29% to 60%). No differences were statistically significant. CONCLUSION: Despite current gaps in resources to consistently care for critically ill patients in medical wards, this study shows that with modest inputs, the provision of simple life-saving critical care is within reach. Required inputs for care provision can be informed from this study.

Critical Care Units in Malawi: A Cross-Sectional Study.

Background: The global burden of critical illness falls disproportionately outside high-income countries. Despite younger patient populations with similar or lower disease severity, critical illness outcomes are poor outside high-income countries. A lack of data limits attempts to understand and address the drivers of critical care outcomes outside high-income countries. Objectives: We aim to characterize the organization, available resources, and service capacity of public sector critical care units in Malawi and identify barriers to improving care. Methods: We conducted a secondary analysis of the Malawi Emergency and Critical Care Survey, a cross-sectional study performed from January to February 2020 at all four central hospitals and a simple random sample of nine out of 24 public sector district hospitals in Malawi, a predominantly rural, low-income country of 19.6 million in southern Africa. Data from critical care units were used to characterize resources, processes, and barriers to care. Findings: There were four HDUs and four ICUs across the 13 hospitals in the Malawi Emergency and Critical Care Survey sample. The median critical care beds per 1,000,000 catchment was 1.4 (IQR: 0.9 to 6.7). Absent equipment was the most common barrier in HDUs (46% [95% CI: 32% to 60%]). Stockouts was the most common barriers in ICUs (48% [CI: 38% to 58%]). ICUs had a median 3.0 (range: 2 to 8) functional ventilators per unit and reported an ability to perform several quality mechanical ventilation interventions. Conclusions: Although significant gaps exist, Malawian critical care units report the ability to perform several complex clinical processes. Our results highlight regional inequalities in access to care and support the use of process-oriented questions to assess critical care capacity. Future efforts should focus on basic critical care capacity outside of urban areas and quantify the impact of context-specific variables on critical care mortality.

Impact of Care Initiation Model on Emergency Department Orders and Operational Metrics: Cohort Study.

INTRODUCTION: Emergency departments (ED) employ many strategies to address crowding and prolonged wait times. They include front-end Care Initiation and clinician-in-triage models that start the diagnostic and therapeutic process while the patient waits for a care space in the ED. The objective of this study was to quantify the impact of a Care Initiation model on resource utilization and operational metrics in the ED. METHODS: We performed a retrospective analysis of ED visits at our institution during October 2021. Baseline characteristics were compared with Chi-square and quantile regression. We used t-tests to calculate unadjusted difference in outcome measures, including number of laboratory tests ordered and average time patients spent in the waiting room and the ED treatment room, and the time from arrival until ED disposition. We performed propensity score analysis using matching and inverse probability weighting to quantify the direct impact of Care Initiation on outcome measures. RESULTS: There were 2,407 ED patient encounters, 1,191 (49%) of whom arrived during the hours when Care Initiation was active. A total of 811 (68%) of these patients underwent Care Initiation, while the remainder proceeded directly to the main treatment area. Patients were more likely to undergo Care Initiation if they had lower acuity and lower risk of admission, and if the ED was busier as measured by the number of recent arrivals and percentage of occupied ED beds. After adjusting for patient-specific and department-level covariates, Care Initiation did not increase the number of diagnostic laboratory tests ordered. Care Initiation was associated with increased waiting room time by 1.8 hours and longer time from arrival until disposition by 1.3 hours, but with decreased time in the main treatment area by 0.6 hours, which represents a 15% reduction. CONCLUSION: Care Initiation was associated with a 15% reduction in time spent in the main ED treatment area but longer waiting room time and longer time until ED disposition without significantly increasing the number of laboratory studies ordered. While previous studies produced similar results with Care Initiation models accessing all diagnostic modalities including imaging, our study demonstrates that a more limited Care Initiation model can still result in operational benefits for EDs.

Evaluation of emergency care education and triage implementation: an observational study at a hospital in rural Liberia.

INTRODUCTION: In Liberia, emergency care is still in its early development. In 2019, two emergency care and triage education sessions were done at J. J. Dossen Hospital in Southeastern Liberia. The observational study objectives evaluated key process outcomes before and after the educational interventions. METHODS: Emergency department paper records from 1 February 2019 to 31 December 2019 were retrospectively reviewed. Simple descriptive statistics were used to describe patient demographics and χ2 analyses were used to test for significance. ORs were calculated for key predetermined process measures. RESULTS: There were 8222 patient visits recorded that were included in our analysis. Patients in the post-intervention 1 group had higher odds of having a documented full set of vital signs compared with the baseline group (16% vs 3.5%, OR: 5.4 (95% CI: 4.3 to 6.7)). After triage implementation, patients who were triaged were 16 times more likely to have a full set of vitals compared with those who were not triaged. Similarly, compared with the baseline group, patients in the post-intervention 1 group had higher odds of having a glucose documented if they presented with altered mental status or a neurologic complaint (37% vs 30%, OR: 1.7 (95% CI: 1.3 to 2.2)), documented antibiotic administration if they had a presumed bacterial infection (87% vs 35%, OR: 12.8 (95% CI: 8.8 to 17.1)), documented malaria test if presenting with fever (76% vs 61%, OR: 2.05 (95% CI: 1.37 to 3.08)) or documented repeat set of vitals if presenting with shock (25% vs 6.6%, OR: 8.85 (95% CI: 1.67 to 14.06)). There was no significant difference in the above process outcomes between the education interventions. CONCLUSION: This study showed improvement in most process measures between the baseline and post-intervention 1 groups, benefits that persisted post-intervention 2, thus supporting the importance of short-course education interventions to durably improve facility-based care.

Outcomes for Patients Discharged to Involuntary Commitment for Substance Use Disorder Directly from the Hospital.

To evaluate the outcomes of patients discharged to involuntary commitment for substance use disorders directly from the hospital. We performed a retrospective chart review of 22 patients discharged to involuntary commitment for substance use disorder from the hospital between October 2016 and February 2020. We collected demographic data, details about each commitment episode, and healthcare utilization outcomes 1 year following involuntary commitment. Nearly all patients had a primary alcohol use disorder (91%) and had additional medical (82%) and psychiatric comorbidities (71%). One year following involuntary commitment, all patients had relapsed to substance use and had at least one emergency department visit while 78.6% had at least one admission. These findings suggest that patients discharged to involuntary commitment directly from the hospital universally relapsed and experienced significant medical morbidity during the first year following their release. This study adds to a growing literature recognizing the harms of involuntary commitment for substance use disorder.

Health system capacity to manage diabetic ketoacidosis in nine low-income and lower-middle income countries: A cross-sectional analysis of nationally representative survey data.

Background: There has been increasing awareness about the importance of type 1 diabetes (T1D) globally. Diabetic ketoacidosis (DKA) is a life-threatening complication of T1D in low-income settings. Little is known about health system capacity to manage DKA in low- and lower-middle income countries (LLMICs). As such, we describe health system capacity to diagnose and manage DKA across nine LLMICs using data from Service Provision Assessments. Methods: In this cross-sectional study, we used data from Service Provision Assessment (SPA) surveys, which are part of the Demographic and Health Survey (DHS) Program. We defined an item set to diagnose and manage DKA in higher-level (tertiary or secondary) facilities, and a set to assess and refer patients presenting to lower-level (primary) facilities. We quantified each item's availability by service level in Bangladesh (Survey 1: May 22 2014-Jul 20 2014; Survey 2: Jul 2017-Oct 2017), the Democratic Republic of the Congo (DRC) (Oct 16 2017-Nov 24 2017 in Kinshasha; Aug 08 2018-Apr 20 2018 in rest of country), Haiti (Survey 1: Mar 05 2013-Jul 2013; Survey 2: Dec 16 2017-May 09 2018), Ethiopia (Feb 06 2014-Mar 09 2014), Malawi (Phase 1: Jun 11 2013-Aug 20 2013; Phase 2: Nov 13 2013-Feb 7 2014), Nepal (Phase 1: Apr 20 2015-Apr 25 2015; Phase 2: Jun 04 2015-Nov 05 2015), Senegal (Survey 1: Jan 2014-Oct 2014; Survey 2: Feb 09 2015-Nov 10 2015; Survey 3: Feb 2016-Nov 2016; Survey 4: Mar 13 2017-Dec 15 2017; Survey 5: Apr 15 2018-Dec 31 2018; Survey 6: Apr 15 2019-Feb 28 2020), Tanzania (Oct 20 2014-Feb 21 2015), and Afghanistan (Nov 1 2018-Jan 20 2019). Variation in secondary facilities' capacity and trends over time were also explored. Findings: We examined data from 2028 higher-level and 7534 lower-level facilities. Of these, 1874 higher-level and 6636 lower-level facilities' data were eligible for analysis. Availability of all item sets were low at higher-level facilities, where less than 50% had the minimal set of supplies, less than 20% had the full minimal set, and less than 15% had the ideal set needed to diagnose and manage DKA. Across countries in lower-level facilities, less than 14% had the minimal set of supplies and less than 9% the full set of supplies for diagnosis and transfer of DKA patients. No country had more than 20% of facilities with the minimal set of items needed to assess or manage DKA. Where data were available for more than one survey (Bangladesh, Senegal, and Haiti), changes in availability of the minimal set and ideal set of items did not exceed 15%. Tertiary facilities performed best in Haiti, Ethiopia, Malawi, Nepal, Senegal, Tanzania, and Afghanistan. Secondary facilities that were rural, public, and had fewer staff had lower capacity. Interpretation: Health system capacity to manage DKA was low across these nine LLMICs. Although efforts are underway to strengthen health systems, a specific focus on DKA management is still needed. Funding: Leona M. and Harry B. Helmsley Charitable Trust, and Juvenile Diabetes Research Foundation Ltd.