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Differences in length of stay and discharge destination among patients with substance use disorders: The effect of Substance Use Intervention Team (SUIT) consultation service.

ABSTRACT: BACKGROUND:Addiction medicine consultation services (ACS) may improve outcomes of hospitalized patients with substance use disorders (SUD). Our aim was to examine the difference in length of stay and the hazard ratio for a routine hospital discharge between SUD patients receiving and not receiving ACS. METHODS:Structured EHR data from 2018 of 1,900 adult patients with a SUD-related diagnostic code at an urban academic health center were examined among 35,541 total encounters. Cox proportional hazards regression models were fit using a cause-specific approach to examine differences in hospital outcome (i.e., routine discharge, leaving against medical advice, in-hospital death, or transfer to another level of care). Models were adjusted for age, sex, race, ethnicity, insurance status, and comorbidities. RESULTS:Length of stay was shorter among encounters with a SUD that received a SUIT consultation versus those admissions that did not receive one (5.77 v. 6.54 days, p<0.01). In adjusted analyses, admissions that received a SUIT consultation had a higher hazard of a routine discharge [hazard ratio (95% confidence interval): 1.16 (1.03-1.30)] compared to those not receiving a SUIT consultation. CONCLUSIONS:The SUIT consultation service was associated with a reduced length of stay and an increased hazard of a routine discharge. The SUIT model may serve as a benchmark and inform other health systems attempting to improve outcomes in SUD patient cohorts.

SUBMITTER: Thompson HM

PROVIDER: S-EPMC7546454 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Differences in length of stay and discharge destination among patients with substance use disorders: The effect of Substance Use Intervention Team (SUIT) consultation service.

Thompson Hale M HM Faig Walter W VanKim Nicole A NA Sharma Brihat B Afshar Majid M Karnik Niranjan S NS

PloS one 20201009 10

<h4>Background</h4>Addiction medicine consultation services (ACS) may improve outcomes of hospitalized patients with substance use disorders (SUD). Our aim was to examine the difference in length of stay and the hazard ratio for a routine hospital discharge between SUD patients receiving and not receiving ACS.<h4>Methods</h4>Structured EHR data from 2018 of 1,900 adult patients with a SUD-related diagnostic code at an urban academic health center were examined among 35,541 total encounters. Cox ...[more]

PMID: 33035229

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Project description:BACKGROUND:Health economic evaluation findings assist stakeholders in improving the quality, availability, scalability, and sustainability of evidence-based services, and in maximizing the efficiency of service delivery. The Center for Health Economics of Treatment Interventions for Substance Use Disorders, HCV, and HIV (CHERISH) is a NIDA-funded multi-institutional center of excellence whose mission is to develop and disseminate health-economic research on healthcare utilization, health outcomes, and health-related behaviors that informs substance use disorder treatment policy, and HCV and HIV care of people who use substances. METHODS:We designed a consultation service that is free to researchers whose work aligns with CHERISH's mission. The service includes up to six hours of consulting time. After prospective consultees submit their request online, they receive a screening call from the consultation service director, who connects them with a consultant with relevant expertise. Consultees and consultants complete web-based evaluations following the consultation; consultees also complete a six-month follow-up. We report on the status of the service from its inception in July 2015 through June 2017. RESULTS:We have received 28 consultation requests (54% Early Stage Investigators, 57% MD or equivalent, 28% PhD, 61% women) on projects typically related to planning a study or grant application (93%); 71% were HIV/AIDS-related. Leading topics included cost-effectiveness (43%), statistical-analysis/econometrics (36%), cost (32%), cost-benefit (21%), and quality-of-life (18%). All consultees were satisfied with their overall experience, and felt that consultation expectations and objectives were clearly defined and the consultant's expertise was matched appropriately with their needs. Results were similar for consultants, who spent a median of 3 hours on consultations. CONCLUSIONS:There is a need for health-economic methodological guidance among substance use, HCV, and HIV researchers. Lessons learned pertain to the feasibility of service provision, the need to implement systems to measure and improve service value, and strategies for service promotion.

Project description:Emergency Departments (ED) are trying to alleviate crowding using various interventions. We assessed the effect of an alternative model of care, the Medical Team Evaluation (MTE) concept, encompassing team triage, quick registration, redesign of triage rooms and electronic medical records (EMR) on door-to-doctor (waiting) time and ED length of stay (LOS). We conducted an observational, before-and-after study at an urban academic tertiary care centre. On July 17th 2014, MTE was initiated from 9:00 a.m. to 10 p.m., 7 days a week. A registered triage nurse was teamed with an additional senior ED physician. Data of the 5-month pre-MTE and the 5-month MTE period were analysed. A matched comparison of waiting times and ED LOS of discharged and admitted patients pertaining to various Emergency Severity Index (ESI) triage categories was performed based on propensity scores. With MTE, the median waiting times improved from 41.2 (24.8-66.6) to 10.2 (5.7-18.1) minutes (min; P < 0.01). Though being beneficial for all strata, the improvement was somewhat greater for discharged, than for admitted patients. With a reduction from 54.3 (34.2-84.7) to 10.5 (5.9-18.4) min (P < 0.01), in terms of waiting times, MTE was most advantageous for ESI4 patients. The overall median ED LOS increased for about 15 min (P < 0.01), increasing from 3.4 (2.1-5.3) to 3.7 (2.3-5.6) hours. A significant increase was observed for all the strata, except for ESI5 patients. Their median ED LOS dropped by 73% from 1.2 (0.8-1.8) to 0.3 (0.2-0.5) hours (P < 0.01). In the same period the total orders for diagnostic radiology increased by 1,178 (11%) from 10,924 to 12,102 orders, with more imaging tests being ordered for ESI 2, 3 and 4 patients. Despite improved waiting times a decrease of ED LOS was only seen in ESI level 5 patients, whereas in all the other strata ED LOS increased. We speculate that this was brought about by the tendency of triage physicians to order more diagnostic radiology, anticipating that it may be better for the downstream physician to have more information rather than less.

Project description:BACKGROUND:The NHS Mental Health Implementation Plan aims to reduce length of inpatient psychiatric stays to a maximum of 32?days, yet provides little guidance on how to achieve this. Previous studies have attempted to analyse factors influencing length of stay in mental health units, focussing mostly on patient factors. These models fail to sufficiently explain the variation in duration of inpatient stay. We assess how the type of service delivered by a trust, in addition to patient factors, influences length of stay. METHODS:We conducted a retrospective case cohort study in a large inner-city NHS mental health trust for all admissions in a 1 month period. Data was gathered from electronic notes of 105 patients. Descriptive univariate and bivariate analyses were conducted on the data, with multiple regression analysis conducted on statistically significant data. RESULTS:Short-stay assessment ward admission significantly reduced length of stay. Patients under outpatients or under care co-ordination, admitted through Mental Health Act assessment and formally detained all had longer length of stay. Out of area admissions, locum Consultant care, changing Responsible Clinician and ward transfers all led to longer length of stay. Factors indicating more severe illness such as increased observation level and polypharmacy, as well as diagnoses of psychosis or bipolar disorder were associated with longer duration of stay. Discharges requiring referral to accommodation or rehabilitation led to longer stays. The most significant factors that influenced length of stay were higher observation levels, diagnosis of psychotic illness or bipolar, and discharge to rehabilitation placement. The final model, taking into account all these factors, was able to account for 59.6% of the variability in length of stay. CONCLUSIONS:The study backs up existing literature which shows patient-factors have an influence on length of stay. The study also demonstrates that service-level factors have an impact on the duration of stay. This data may be used to inform further studies which may aid provision of inpatient and community services in the future.

Dataset Information

Differences in length of stay and discharge destination among patients with substance use disorders: The effect of Substance Use Intervention Team (SUIT) consultation service.

Publications

Differences in length of stay and discharge destination among patients with substance use disorders: The effect of Substance Use Intervention Team (SUIT) consultation service.

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