Dataset Information

Predictors of Overdose Death Among High-Risk Emergency Department Patients With Substance-Related Encounters: A Data Linkage Cohort Study.

ABSTRACT: STUDY OBJECTIVE:Persons with substance use disorders frequently utilize emergency department (ED) services, creating an opportunity for intervention and referral to addiction treatment and harm-reduction services. However, EDs may not have the appropriate tools to distinguish which patients are at greatest risk for negative outcomes. We link hospital ED and medical examiner mortality databases in one state to identify individual-level risk factors associated with overdose death among ED patients with substance-related encounters. METHODS:This retrospective cohort study linked Maryland statewide ED hospital claims records for adults with nonfatal overdose or substance use disorder encounters in 2014 to 2015 with medical examiner mortality records in 2015 to 2016. Logistic regression was used to identify factors in hospital records associated with risk of opioid overdose death. Predicted probabilities for overdose death were calculated for hypothetical patients with different combinations of overdose and substance use diagnostic histories. RESULTS:A total of 139,252 patients had substance-related ED encounters in 2014 to 2015. Of these patients, 963 later experienced an opioid overdose death, indicating a case fatality rate of 69.2 per 10,000 patients, 6 times higher than that of patients who used the ED for any cause. Factors most strongly associated with death included having both an opioid and another substance use disorder (adjusted odds ratio 2.88; 95% confidence interval 2.04 to 4.07), having greater than or equal to 3 previous nonfatal overdoses (adjusted odds ratio 2.89; 95% confidence interval 1.54 to 5.43), and having a previous nonfatal overdose involving heroin (adjusted odds ratio 2.24; 95% confidence interval 1.64 to 3.05). CONCLUSION:These results highlight important differences in overdose risk among patients receiving care in EDs for substance-related conditions. The findings demonstrate the potential utility of incorporating routine data from patient records to assess risk of future negative outcomes and identify primary targets for initiation and linkage to lifesaving care.

SUBMITTER: Krawczyk N

PROVIDER: S-EPMC6928412 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Predictors of Overdose Death Among High-Risk Emergency Department Patients With Substance-Related Encounters: A Data Linkage Cohort Study.

Krawczyk Noa N Eisenberg Matthew M Schneider Kristin E KE Richards Tom M TM Lyons B Casey BC Jackson Kate K Ferris Lindsey L Weiner Jonathan P JP Saloner Brendan B

Annals of emergency medicine 20190909 1

<h4>Study objective</h4>Persons with substance use disorders frequently utilize emergency department (ED) services, creating an opportunity for intervention and referral to addiction treatment and harm-reduction services. However, EDs may not have the appropriate tools to distinguish which patients are at greatest risk for negative outcomes. We link hospital ED and medical examiner mortality databases in one state to identify individual-level risk factors associated with overdose death among ED ...[more]

PMID: 31515181

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Project description:BackgroundVisits to the emergency department are critical opportunities to engage individuals after an overdose. We sought to estimate and compare the 12-month mortality between persons with visits to the emergency department related to opioid overdose and those with non-overdose-related visits.MethodsWe conducted a retrospective cohort study using the Provincial Overdose Cohort, which contains data for patients in British Columbia who had an opioid-related overdose between 2015 and 2017, along with a 20% random sample of BC residents for comparison. We examined all nonfatal visits to the emergency department between Jan. 1, 2015, and Dec. 31, 2016, among persons aged 14 to 74 years and compared the 12-month mortality between those with overdose-related visits and those with non-overdose-related visits. We estimated the hazard ratio for death, with adjustment for age, sex, comorbidity and disposition (discharged or left against medical advice).ResultsWe included 3593 persons with overdose-related visits and 216 453 with non-overdose-related visits to the emergency department. Those with overdose-related visits were younger, were predominantly male and had more mental health conditions. The 12-month crude mortality probability was 5.4% (95% confidence interval [CI] 4.7%-6.2%) in this group and 1.7% (95% CI 1.6%-1.8%) among those with non-overdose-related visits. After adjustment, for persons who were discharged, the 12-month mortality hazard was 3.5 (95% CI 3.0-4.2) times higher among those with overdose-related visits than those with non-overdose-related visits. For persons who left against medical advice, the mortality hazard was 7.1 (95% CI 4.0-12.5) times higher among those with opioid overdose.InterpretationAmong persons with overdose-related visits to the emergency department, 12-month mortality was higher than among those with non-overdose-related visits. Overdose-related visits should prompt urgent evidence-based interventions (e.g., take-home naloxone kits, buprenorphine-naloxone induction) to prevent future deaths.

Project description:IntroductionThe American Hospital Association (AHA) has hospital-level data, while the Centers for Medicare & Medicaid Services (CMS) has patient-level data. Merging these with other distinct databases would permit analyses of hospital-based specialties, units, or departments, and patient outcomes. One distinct database is the National Emergency Department Inventory (NEDI), which contains information about all EDs in the United States. However, a challenge with merging these databases is that NEDI lists all US EDs individually, while the AHA and CMS group some EDs by hospital network. Consolidating data for this merge may be preferential to excluding grouped EDs. Our objectives were to consolidate ED data to enable linkage with administrative datasets and to determine the effect of excluding grouped EDs on ED-level summary results.MethodsUsing the 2014 NEDI-USA database, we surveyed all New England EDs. We individually matched NEDI EDs with corresponding EDs in the AHA and CMS. A "group match" was assigned when more than one NEDI ED was matched to a single AHA or CMS facility identification number. Within each group, we consolidated individual ED data to create a single observation based on sums or weighted averages of responses as appropriate.ResultsOf the 195 EDs in New England, 169 (87%) completed the NEDI survey. Among these, 130 (77%) EDs were individually listed in AHA and CMS, while 39 were part of groups consisting of 2-3 EDs but represented by one facility ID. Compared to the individually listed EDs, the 39 EDs included in a "group match" had a larger number of annual visits and beds, were more likely to be freestanding, and were less likely to be rural (all P<0.05). Two grouped EDs were excluded because the listed ED did not respond to the NEDI survey; the remaining 37 EDs were consolidated into 19 observations. Thus, the consolidated dataset contained 149 observations representing 171 EDs; this consolidated dataset yielded summary results that were similar to those of the 169 responding EDs.ConclusionExcluding grouped EDs would have resulted in a non-representative dataset. The original vs consolidated NEDI datasets yielded similar results and enabled linkage with large administrative datasets. This approach presents a novel opportunity to use characteristics of hospital-based specialties, units, and departments in studies of patient-level outcomes, to advance health services research.

Project description:RATIONALE, AIMS AND OBJECTIVES: Emergency department (ED) clinicians account for approximately 13% of all opioid prescriptions to opioid-naïve patients and variability in the rates of prescribing have been noted among individual clinicians and different EDs. This study elucidates the amount of variability within a unified health system (the U.S. Military Health System [MHS]) with the expectation that understanding the sources of variability will enable health system leaders to improve the quality of decision making.MethodsThe design was a retrospective cohort study examining variation in opioid prescribing within EDs of the US MHS. Participants were Army soldiers who returned from a deployment and received care between October 2009 and September 2016. The exposure was ED encounters at a military treatment facility. Key measures were the proportion of ED encounters with an opioid prescription fill; total opioid dose of the fill (morphine milligram equivalent, MME); and total opioid days-supply of the fill.ResultsThe mean proportion of ED encounters with an opioid fill across providers was 19.7% (SD 8.8%), median proportion was 18.6%, and the distribution was close to symmetric with the 75th percentile provider prescribing opioids in 24.6% of their ED encounters and the 25th percentile provider prescribing in 13.4% of their encounters. The provider-level mean opioid dose per encounter was 113.1 MME (SD 56.0) with the 75th percentile (130.1) 50% higher than the 25th percentile (87.4). The mean opioid supply per encounter was 6.8 days (SD 3.9) with more than a twofold ratio between the 75th percentile (8.3) and the 25th (4.1). Using a series of multilevel regression models to examine opioid fills associated with ED encounters and their dose levels, the variation among providers within facilities was much larger in magnitude than the variation among facilities.ConclusionAmong ED encounters of Army soldiers at military treatment facilities, there was substantial variation among providers in prescribing opioid prescriptions that were not explained by patient case-mix. These results suggest that programmes and protocols to address less than optimal prescribing in the ED should be initiated to improve the quality of care.

Project description:OBJECTIVE:To use linked administrative datasets to assess factors associated with emergency department (ED) presentation and psychiatric readmission in three distinctive time intervals after the index psychiatric admission. DESIGN:A retrospective data-linkage study. SETTING:Cohort study using four linked government minimum datasets including acute hospital care from July 2005 to June 2012 in New South Wales, Australia. PARTICIPANTS:People who were alive and aged ?18 years on 1 July 2005 and who had their index admission to a psychiatric ward from 1 July 2007 to 30 June 2010. OUTCOME MEASURES:ORs of factors associated with psychiatric admission and ED presentation were calculated for three intervals: 0-1?month, 2-5 months and 6-24 months after index separation. RESULTS:Index admission was identified in 35?056 individuals (51% -males) with a median age of 42 years. A total of 12?826 (37%) individuals had at least one ED presentation in the 24 months after index admission. Of those, 3608 (28%) presented within 0-1?month, 6350 (50%) within 2-5 months and 10?294 (80%) within 6-24 months after index admission. A total of 14?153 (40%) individuals had at least one psychiatric readmission in the first 24 months. Of those, 6808 (48%) were admitted within 0-1?month, 6433 (45%) within 2-5 months and 7649 (54%) within 6-24 months after index admission. Principal diagnoses and length of stay at index admission, sociodemographic factors, Charlson Comorbidity Index score, drug and alcohol comorbidity, intellectual disability and other inpatient service use were significantly associated with ED presentations and psychiatric readmissions, and these relationships varied somewhat over the intervals studied. CONCLUSION:Social determinants of service use, drug and alcohol intervention, addressing needs of individuals with intellectual disability and recovery-oriented whole-person approaches at index admission are key areas for investment to improve trajectories after index admission.

Dataset Information

Predictors of Overdose Death Among High-Risk Emergency Department Patients With Substance-Related Encounters: A Data Linkage Cohort Study.

Publications

Predictors of Overdose Death Among High-Risk Emergency Department Patients With Substance-Related Encounters: A Data Linkage Cohort Study.

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