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      Patient-level Characteristics and Inequitable Access to Inpatient Electroconvulsive Therapy for Depression: A Population-based Cross-sectional Study: Caractéristiques au niveau du patient et accès inéquitable à la thérapie électroconvulsive pour patients hospitalisés

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          Abstract

          Objective:

          A variety of patient characteristics drive the use of electroconvulsive therapy (ECT) in depression. However, the extent to which each characteristic influences the receipt of ECT, and whether they are appropriate, is unknown. The aim of this study is to identify patient-level characteristics associated with receiving inpatient ECT for depression.

          Method:

          We identified all psychiatric inpatients with a major depressive episode admitted to hospital ≥3 days in Ontario, Canada (2009 to 2017). The association between patient-level characteristics at admission and receipt of inpatient ECT was determined using logistic regression, where a generalized estimating equations approach accounted for repeat admissions.

          Results:

          The cohort included 53,174 inpatients experiencing 75,429 admissions, with 6,899 admissions involving ECT (9.2%). Among demographic factors, age was most associated with ECT—younger adults had reduced (OR = 0.30, 95%CI, 0.24 to 0.37; 18 to 25 years) while older adults had increased (OR = 3.08, 95%CI, 2.41 to 3.93; 85+ years) odds compared to middle-aged adults (46 to 55 years). The likelihood of ECT was greater for individuals who were married/partnered, had postsecondary education, and resided in the highest neighborhood income quintile. Among clinical factors, illness polarity was most associated with receiving ECT—bipolar depression had reduced odds of receiving ECT (OR = 0.62, 95%CI, 0.57 to 0.69) The likelihood of receiving ECT was greater in psychotic depression, more depressive symptoms, and incapable to consent to treatment and was reduced with comorbid substance use disorders and several medical comorbidities.

          Conclusions:

          Nearly 1 in 10 admissions for depression in Ontario, Canada, involve ECT. Many clinical factors associated with receiving inpatient ECT were concordant with clinical guidelines; however, nonclinical factors associated with its use warrant investigation of their impact on equitable access to ECT.

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          Most cited references39

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          Diagnostic and Statistical Manual of Mental Disorders

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            The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

            Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September, 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles.18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies.A detailed explanation and elaboration document is published separately and is freely available on the websites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE statement will contribute to improving the quality of reporting of observational studies
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              Is Open Access

              Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

              The propensity score is a subject's probability of treatment, conditional on observed baseline covariates. Conditional on the true propensity score, treated and untreated subjects have similar distributions of observed baseline covariates. Propensity-score matching is a popular method of using the propensity score in the medical literature. Using this approach, matched sets of treated and untreated subjects with similar values of the propensity score are formed. Inferences about treatment effect made using propensity-score matching are valid only if, in the matched sample, treated and untreated subjects have similar distributions of measured baseline covariates. In this paper we discuss the following methods for assessing whether the propensity score model has been correctly specified: comparing means and prevalences of baseline characteristics using standardized differences; ratios comparing the variance of continuous covariates between treated and untreated subjects; comparison of higher order moments and interactions; five-number summaries; and graphical methods such as quantile–quantile plots, side-by-side boxplots, and non-parametric density plots for comparing the distribution of baseline covariates between treatment groups. We describe methods to determine the sampling distribution of the standardized difference when the true standardized difference is equal to zero, thereby allowing one to determine the range of standardized differences that are plausible with the propensity score model having been correctly specified. We highlight the limitations of some previously used methods for assessing the adequacy of the specification of the propensity-score model. In particular, methods based on comparing the distribution of the estimated propensity score between treated and untreated subjects are uninformative. Copyright © 2009 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                The Canadian Journal of Psychiatry
                Can J Psychiatry
                SAGE Publications
                0706-7437
                1497-0015
                February 2021
                July 02 2020
                February 2021
                : 66
                : 2
                : 147-158
                Affiliations
                [1 ]Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
                [2 ]Department of Psychiatry, University of Toronto, Ontario, Canada
                [3 ]Campbell Family Mental Health Research Institute Centre for Addiction and Mental Health, Toronto, Ontario, Canada
                [4 ]Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Toronto, Ontario, Canada
                [5 ]ICES, Toronto, Ontario, Canada
                [6 ]Institute of Health Policy Management and Evaluation, University of Toronto, Ontario, Canada
                [7 ]Department of Anesthesia, St. Michael’s Hospital, Toronto, Ontario, Canada
                [8 ]Department of Anesthesiology and Pain Medicine, University of Toronto, Ontario, Canada
                [9 ]Women’s College Hospital, Toronto, Ontario, Canada
                Article
                10.1177/0706743720935647
                32613857
                677feb2a-ff1c-42ac-89f4-c1aeb91a225a
                © 2021

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