ArticleAlcoholism, clinical and experimental research2022
COVID-19 pandemic-related changes in utilization of telehealth and treatment overall for alcohol use problems.
Article in Alcoholism, clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Utilization of mental health services during the first year of the COVID-19 pandemic - a systematic review and meta-analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2026Pooled it
- Article
- Using Routinely Collected Data From the Network of Alcohol and Other Drugs Agencies Database to Evaluate the Impact of COVID-19 Lockdowns on Trends in Service Delivery in Outpatient Non-Government Alcohol and Other Drug Treatment Services.Alcohol, clinical & experimental research · 2026Observational
- Interrupted Time Series Analysis of Alcohol Use Disorder Treatment Utilisation During the Coronavirus Pandemic in Hamburg, Germany.Drug and alcohol review · 2026Article
- Google searches for alcohol and association with alcohol-related outpatient encounters before and during the COVID-19 pandemic.Scientific reports · 2025Article
- Was receipt of any specialty alcohol treatment during the pandemic effective at reducing drinking for patients with or at risk of AUD?Journal of substance use and addiction treatment · 2025Article
- Expanding Treatment Options for Alcohol Use Disorder.JAMA health forum · 2024Article
- Article
- Changes in the alcohol-specific disease burden during the COVID-19 pandemic in Germany: interrupted time series analyses.European journal of public health · 2023Article
- Overall and Telehealth Addiction Treatment Utilization by Age, Race, Ethnicity, and Socioeconomic Status in California After COVID-19 Policy Changes.JAMA health forum · 2023Article
- COVID-19 pandemic-related changes in utilization of telehealth and treatment overall for alcohol use problems.Alcoholism, clinical and experimental research · 2022Article
- Factors Related to Receipt of Help for Alcohol Use: Extending the Focus of Treatment to the Continuum of Unhealthy Alcohol Use.Substance use : research and treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDuring the COVID-19 pandemic, specialty alcohol treatment transitioned rapidly to telehealth, which may have created barriers for some patients but increased access for others. This study evaluated the impact of the COVID-19 pandemic on alcohol treatment utilization and potential disparities.
methodsWe analyzed electronic health record and claims data from Kaiser Permanente Northern California for adults with alcohol use problems (alcohol use disorder or unhealthy alcohol use diagnoses) during pre-COVID-19 (March to December 2019, n = 32,806) and COVID-19 onset (March to December 2020, n = 26,763). Generalized estimating equation models were fit to examine pre-COVID-19 to COVID-19 onset changes in alcohol treatment initiation, engagement, and retention (days in treatment). Heterogeneity in pre-COVID-19 to COVID-19 onset changes in treatment utilization by age, race, and ethnicity; neighborhood deprivation index (NDI); and comorbid medical and psychiatric disorders were also examined.
resultsTreatment initiation increased during the COVID-19 onset period (adjusted odds ratio [aOR] = 1.46; 95% CI = 1.41-1.52). The increases in odds of treatment initiation during the COVID-19 onset period compared with the pre-COVID period were largest among patients aged 18-34 years (aOR = 1.59; 95% CI = 1.48-1.71), those without medical conditions (aOR = 1.56; 95% CI = 1.49-1.65), and those without psychiatric disorders (aOR = 1.60; 95% CI = 1.51-1.69). Patients aged 18-34 years (aOR = 5.21; 95% CI = 4.67-5.81), those with the second highest NDIs (aOR = 4.63; 95% CI = 4.12-5.19), and those without medical (aOR = 4.34; 95% CI = 4.06-4.65) or psychiatric comorbidities (aOR = 4.48; 95% CI = 4.11-4.89) had the greatest increases in telehealth treatment initiation from pre-COVID-19 to COVID-19 onset. Treatment engagement and retention also increased during COVID-19 onset, with the greatest increase among patients aged 35-49 years who initiated treatment via telehealth (engagement: aOR = 2.33; 95% CI = 1.91-2.83; retention: adjusted mean difference [aMD] = 3.3 days; 95% CI = 2.6-4.1). We found no significant variation of changes in treatment utilization by race and ethnicity.
conclusionsThe transition to telehealth in this healthcare system may have attracted subgroups of individuals who have historically underutilized care for alcohol use problems, particularly younger and healthier adults, without exacerbating pre-pandemic racial and ethnic disparities in treatment utilization.
Indexed as
Identifiers
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.