Dataset Information

Modeling the Cost-Effectiveness of Interventions to Reduce Suicide Risk Among Hospital Emergency Department Patients.

ABSTRACT: OBJECTIVE:This study estimated the expected cost-effectiveness and population impact of outpatient interventions to reduce suicide risk among patients presenting to general hospital emergency departments (EDs), compared with usual care. Several such interventions have been found efficacious, but none is yet widespread, and the cost-effectiveness of population-based implementation is unknown. METHODS:Modeled cost-effectiveness analysis compared three ED-initiated suicide prevention interventions previously found to be efficacious-follow-up via postcards or caring letters, follow-up via telephone outreach, and suicide-focused cognitive-behavioral therapy (CBT)-with usual care. Primary outcomes were treatment costs, suicides, and life-years saved, evaluated over the year after the index ED visit. RESULTS:Compared with usual care, adding postcards improved outcomes and reduced costs. Adding telephone outreach and suicide-focused CBT, respectively, improved outcomes at a mean incremental cost of $4,300 and $18,800 per life-year saved, respectively. Monte Carlo simulation (1,000 repetitions) revealed the chance of incremental cost-effectiveness to be a certainty for all three interventions, assuming societal willingness to pay ?$50,000 per life-year. These main findings were robust to various sensitivity analyses, including conservative assumptions about effect size and incremental costs. Population impact was limited by low sensitivity of detecting ED patients' suicide risk, and health care delivery inefficiencies. CONCLUSIONS:The highly favorable cost-effectiveness found for each outpatient intervention provides a strong basis for widespread implementation of any or all of the interventions. The estimated population benefits of doing so would be enhanced by increasing the sensitivity of suicide risk detection among individuals presenting to general hospital EDs.

SUBMITTER: Denchev P

PROVIDER: S-EPMC5750130 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Modeling the Cost-Effectiveness of Interventions to Reduce Suicide Risk Among Hospital Emergency Department Patients.

Denchev Peter P Pearson Jane L JL Allen Michael H MH Claassen Cynthia A CA Currier Glenn W GW Zatzick Douglas F DF Schoenbaum Michael M

Psychiatric services (Washington, D.C.) 20170915 1

<h4>Objective</h4>This study estimated the expected cost-effectiveness and population impact of outpatient interventions to reduce suicide risk among patients presenting to general hospital emergency departments (EDs), compared with usual care. Several such interventions have been found efficacious, but none is yet widespread, and the cost-effectiveness of population-based implementation is unknown.<h4>Methods</h4>Modeled cost-effectiveness analysis compared three ED-initiated suicide prevention ...[more]

PMID: 28945181

Similar Datasets

Project description:BACKGROUND: Emergency department (ED) utilization has dramatically increased in developed countries over the last twenty years. Because it has been associated with adverse outcomes, increased costs, and an overload on the hospital organization, several policies have tried to curb this growing trend. The aim of this study is to systematically review the effectiveness of organizational interventions designed to reduce ED utilization. METHODOLOGY/PRINCIPAL FINDINGS: We conducted electronic searches using free text and Medical Subject Headings on PubMed and The Cochrane Library to identify studies of ED visits, re-visits and mortality. We performed complementary searches of grey literature, manual searches and direct contacts with experts. We included studies that investigated the effectiveness of interventions designed to reduce ED visits and the following study designs: time series, cross-sectional, repeated cross-sectional, longitudinal, quasi-experimental studies, and randomized trial. We excluded studies on specific conditions, children and with no relevant outcomes (ED visits, re-visits or adverse events). From 2,348 potentially useful references, 48 satisfied the inclusion criteria. We classified the interventions in mutually exclusive categories: 1) Interventions addressing the supply and accessibility of services: 25 studies examined efforts to increase primary care physicians, centers, or hours of service; 2) Interventions addressing the demand for services: 6 studies examined educational interventions and 17 examined barrier interventions (gatekeeping or cost). CONCLUSIONS/SIGNIFICANCE: The evidence suggests that interventions aimed at increasing primary care accessibility and ED cost-sharing are effective in reducing ED use. However, the rest of the interventions aimed at decreasing ED utilization showed contradictory results. Changes in health care policies require rigorous evaluation before being implemented since these can have a high impact on individual health and use of health care resources. Systematic review registration: http://www.crd.york.ac.uk/PROSPERO. Identifier: CRD420111253.

Project description:BACKGROUND: The objective is to estimate the cost-effectiveness of an intervention that reduces hospital re-admission among older people at high risk. A cost-effectiveness model to estimate the costs and health benefits of the intervention was implemented. METHODOLOGY/PRINCIPAL FINDINGS: The model used data from a randomised controlled trial conducted in an Australian tertiary metropolitan hospital. Participants were acute medical admissions aged >65 years with at least one risk factor for re-admission: multiple comorbidities, impaired functionality, aged >75 years, recent multiple admissions, poor social support, history of depression. The intervention was a comprehensive nursing and physiotherapy assessment and an individually tailored program of exercise strategies and nurse home visits with telephone follow-up; commencing in hospital and continuing following discharge for 24 weeks. The change to cost outcomes, including the costs of implementing the intervention and all subsequent use of health care services, and, the change to health benefits, represented by quality adjusted life years, were estimated for the intervention as compared to existing practice. The mean change to total costs and quality adjusted life years for an average individual over 24 weeks participating in the intervention were: cost savings of $333 (95% Bayesian credible interval $ -1,932:1,282) and 0.118 extra quality adjusted life years (95% Bayesian credible interval 0.1:0.136). The mean net-monetary-benefit per individual for the intervention group compared to the usual care condition was $7,907 (95% Bayesian credible interval $5,959:$9,995) for the 24 week period. CONCLUSIONS/SIGNIFICANCE: The estimation model that describes this intervention predicts cost savings and improved health outcomes. A decision to remain with existing practices causes unnecessary costs and reduced health. Decision makers should consider adopting this program for elderly hospitalised patients.

Project description:BackgroundPopulation ageing is increasing rapidly worldwide. Older adults are frequent users of health care services including the Emergency Department (ED) and experience a number of adverse outcomes following an ED visit. Adverse outcomes include functional decline, unplanned hospital admission and an ED revisit. Given these adverse outcomes a number of interventions have been examined to improve the outcomes of older adults following presentation to the ED. The aim of this umbrella review was to evaluate the effectiveness of ED interventions in reducing adverse outcomes in older adults discharged from the ED.MethodsSystematic reviews of randomised controlled trials investigating ED interventions for older adults presenting to the ED exploring clinical, patient experience and healthcare utilisation outcomes were included. A comprehensive search strategy was employed in eleven databases and the PROSPERO register up until June 2020. Grey literature was also searched. Quality was assessed using the A MeaSurement Tool to Assess Systematic Reviews 2 tool. Overlap between systematic reviews was assessed using a matrix of evidence table. An algorithm to assign the Grading of Recommendations Assessment, Development and Evaluation to assess the strength of evidence was applied for all outcomes.ResultsNine systematic reviews including 29 randomised controlled trials were included. Interventions comprised of solely ED-based or transitional interventions. The specific interventions delivered were highly variable. There was high overlap and low methodological quality of the trials informing the systematic reviews. There is low quality evidence to support ED interventions in reducing functional decline, improving patient experience and improving quality of life. The quality of evidence of the effectiveness of ED interventions to reduce mortality and ED revisits varied from very low to moderate. Results were presented narratively and summary of evidence tables created.ConclusionOlder adults are the most important emerging group in healthcare for several economic, social and political reasons. The existing evidence for the effectiveness of ED interventions for older adults is limited. This umbrella review highlights the challenge of synthesising evidence due to significant heterogeneity in methods, intervention content and reporting of outcomes. Higher quality intervention studies in line with current geriatric medicine research guidelines are recommended, rather than the publication of further systematic reviews.Trial registrationUMBRELLA REVIEW REGISTRATION: PROSPERO ( CRD42020145315 ).

Project description:Recent health policy changes have focused efforts on reducing emergency department (ED) visits as a way to reduce costs and improve quality of care. This was a systematic review of interventions based outside the ED aimed at reducing ED use.This study was designed as a systematic review. We reviewed the literature on interventions in five categories: patient education, creation of additional non-ED capacity, managed care, prehospital diversion, and patient financial incentives. Studies written in English, with interventions administered outside of the ED, and a comparison group where ED use was an outcome, were included. Two independent reviewers screened search results using MEDLINE, Cochrane, OAIster, or Scopus. The following data were abstracted from included studies: type of intervention, study design, population, details of intervention, effect on ED use, effect on non-ED health care use, and other health and financial outcomes. Quality of individual articles was assessed using Grading of Recommendations Assessment, Development, and Evaluation (GRADE) guidelines.Of 39 included studies, 34 were observational and five were randomized controlled trials. Two of five studies on patient education found reductions in ED use ranging from 21% to 80%. Out of 10 studies of additional non-ED capacity, four showed decreases of 9% to 54%, and one a 21% increase. Both studies on prehospital diversion found reductions of 3% to 7%. Of 12 studies on managed care, 10 had decreases ranging from 1% to 46%. Nine out of 10 studies on patient financial incentives found decreases of 3% to 50%, and one a 34% increase. Nineteen studies reported effect on non-ED use with mixed results. Seventeen studies included data on health outcomes, but 13 of these only included data on hospitalizations rather than morbidity and mortality. Seven studies included data on cost outcomes. According to the GRADE guidelines, all studies had at least some risk of bias, with four moderate quality, one low quality, and 34 very low quality studies.Many studies have explored interventions based outside the ED to reduce ED use in various populations, with mixed evidence. Approximately two-thirds identified here showed reductions in ED use. The interventions with the greatest number of studies showing reductions in ED use include patient financial incentives and managed care, while the greatest magnitude of reductions were found in patient education. These findings have implications for insurers and policymakers seeking to reduce ED use.

Project description:Background and aimsIn a recent randomized trial, patients with opioid dependence receiving brief intervention, emergency department (ED)-initiated buprenorphine and ongoing follow-up in primary care with buprenorphine (buprenorphine) were twice as likely to be engaged in addiction treatment compared with referral to community-based treatment (referral) or brief intervention and referral (brief intervention). Our aim was to evaluate the relative cost-effectiveness of these three methods of intervening on opioid dependence in the ED.DesignMeasured health-care use was converted to dollar values. We considered a health-care system perspective and constructed cost-effectiveness acceptability curves that indicate the probability each treatment is cost-effective under different thresholds of willingness-to-pay for outcomes studied.SettingAn urban ED in the United States.ParticipantsOpioid-dependent patients aged 18 years or older.MeasurementsSelf-reported 30-day assessment data were used to construct cost-effectiveness acceptability curves for patient engagement in formal addiction treatment at 30 days and the number of days illicit opioid-free in the past week.FindingsConsidering only health-care system costs, cost-effectiveness acceptability curves indicate that at all positive willingness-to-pay values, ED-initiated buprenorphine treatment was more cost-effective than brief intervention or referral. For example, at a willingness-to-pay threshold of $1000 for 30-day treatment engagement, we are 79% certain ED-initiated buprenorphine is most cost-effective compared with other studied treatments. Similar results were found for days illicit opioid-free in the past week. Results were robust to secondary analyses that included patients with missing cost data, included crime and patient time costs in the numerator, and to changes in unit price estimates.ConclusionIn the United States, emergency department-initiated buprenorphine intervention for patients with opioid dependence provides high value compared with referral to community-based treatment or combined brief intervention and referral.

Project description:BackgroundReliable assessment of suicide and self-harm risk in emergency medicine is critical for effective intervention and treatment of patients affected by mental health disorders. Teams of clinicians face the challenge of rapidly integrating medical history, wide-ranging psychosocial factors, and real-time patient observations to inform diagnosis, treatment, and referral decisions. Patient outcomes therefore depend on the reliable flow of information through networks of clinical staff and information systems. This study aimed to develop a quantitative data-driven research framework for the analysis of information flow in emergency healthcare settings to evaluate clinical practice and operational models for emergency psychiatric care.Methods and findingsWe deployed 2 observers in a tertiary hospital emergency department during 2018 for a total of 118.5 h to record clinical interactions along patient trajectories for presentations with risk of self-harm or suicide (n = 272 interactions for n = 43 patient trajectories). The study population was reflective of a naturalistic sample of patients presenting to a tertiary emergency department in a metropolitan Australian city. Using the observational data, we constructed a clinical interaction network to model the flow of clinical information at a systems level. Community detection via modularity maximization revealed communities in the network closely aligned with the underlying clinical team structure. The Psychiatric Liaison Nurse (PLN) was identified as the most important agent in the network as quantified by node degree, closeness centrality, and betweenness centrality. Betweenness centrality of the PLN was significantly higher than expected by chance (>95th percentile compared with randomly shuffled networks) and removing the PLN from the network reduced both the global efficiency of the model and the closeness centrality of all doctors. This indicated a potential vulnerability in the system that could negatively impact patient care if the function of the PLN was compromised. We developed an algorithmic strategy to mitigate this risk by targeted strengthening of links between clinical teams using greedy cumulative addition of network edges in the model. Finally, we identified specific interactions along patient trajectories which were most likely to precipitate a psychiatric referral using a machine learning model trained on features from dynamically constructed clinical interaction networks. The main limitation of this study is the use of nonclinical information only (i.e., modeling is based on timing of interactions and agents involved, but not the content or quantity of information transferred during interactions).ConclusionsThis study demonstrates a data-driven research framework, new to the best of our knowledge, to assess and reinforce important information pathways that guide clinical decision processes and provide complementary insights for improving clinical practice and operational models in emergency medicine for patients at risk of suicide or self-harm. Our findings suggest that PLNs can play a crucial role in clinical communication, but overreliance on PLNs may pose risks to reliable information flow. Operational models that utilize PLNs may be made more robust to these risks by improving interdisciplinary communication between doctors. Our research framework could also be applied more broadly to investigate service delivery in different healthcare settings or for other medical specialties, patient groups, or demographics.

Dataset Information

Modeling the Cost-Effectiveness of Interventions to Reduce Suicide Risk Among Hospital Emergency Department Patients.

Publications

Modeling the Cost-Effectiveness of Interventions to Reduce Suicide Risk Among Hospital Emergency Department Patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets