ArticleThe journal of ECT2020
Electroconvulsive Therapy in Veterans Health Administration Hospitals: Prevalence, Patterns of Use, and Patient Characteristics.
Article in The journal of ECT, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- An international survey of the relatives and friends of electroconvulsive therapy recipients.Psychology and psychotherapy · 2026Article
- Rural-Urban Disparities in Access to Interventional Psychiatry Treatments among VA Patients.Rural mental health · 2026Article
- A Survey of ECT Recipients, Family Members and Friends: Are the Self-Reported Reasons for The Recipients' Problems Being Addressed?International journal of mental health nursing · 2025Article
- Ketamine Versus Electroconvulsive Therapy for the Treatment of Depression: A Guide for Clinicians.Focus (American Psychiatric Publishing) · 2025Article
- Leveraging Natural Language Processing to Improve Electronic Health Record Suicide Risk Prediction for Veterans Health Administration Users.The Journal of clinical psychiatry · 2023Article
- Characterization of the Quality of Electroconvulsive Therapy Among Older Medicare Beneficiaries.The Journal of clinical psychiatry · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesThe body of large-scale, epidemiological research on electroconvulsive therapy (ECT) in the United States is limited. To address this gap, we assessed demographic, clinical, pharmacological, and mental health treatment history as well as 2-year mortality outcomes associated with ECT use in the largest U.S. health care system.
methodsAmong all patients who sought mental health care at Veterans Health Administration (VHA) hospitals in 2012, we used bivariate analyses to compare patients who did and not receive ECT during 2 years of follow-up. Among the population who received ECT, descriptive statistics were calculated to characterize prior mental health treatment patterns and ECT receipt.
results0.11% (N = 1616) of all VHA mental health patients in 2012 (N = 1,457,053) received ECT in 2 years of follow-up. There was significant regional variation in provision of ECT. Those who received ECT were more likely to have diagnoses of major depressive, bipolar, and personality disorders and were significantly more likely to have had a recent mental health inpatient stay (risk ratio, 6.94). Receipt of ECT was not associated with a difference in all-cause mortality (risk ratio, 0.88). Thirty-two percent of those who received ECT had no substantial antidepressant or therapy trial in the year before index mental health encounter.
conclusionsUse of ECT in the VHA is rare. Patients who receive ECT have a complex and high-risk profile, not necessarily consistent with the most common indications for ECT.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.