Evidence map›Paper›PMID 37868253›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2023

Alcohol-Related Hospitalizations During the Initial COVID-19 Lockdown in Massachusetts: An Interrupted Time-Series Analysis.

Matthew V Ronan, Kenneth J Mukamal, Rahul B Ganatra

Open access · bronzeAbstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 56% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Matthew V RonanVeterans Affairs Boston Healthcare System, West Roxbury, Massachusetts.
Kenneth J MukamalHarvard Medical School, Boston, Massachusetts.
Rahul B GanatraVeterans Affairs Boston Healthcare System, West Roxbury, Massachusetts.
VA Boston Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The effect of initial COVID-19 pandemic-associated lockdowns on alcohol-related hospitalizations remains uncertain. This study compares alcohol-related hospitalizations at a US Department of Veterans Affairs (VA) system in Massachusetts before, during, and after the initial COVID-19 lockdown. Methods: This study is an interrupted time-series analysis at the VA Boston Healthcare System. Participants included all patients hospitalized on the medical, psychiatry, and neurology services at VA Boston Healthcare System from January 1, 2017, to December 31, 2020, excluding those under observation status. The period January 1, 2017, to March 9, 2020, was defined as prelockdown (the reference group); March 10, 2020, to May 18, 2020, was lockdown; and May 19, 2020, to December 31, 2020, was postlockdown. Alcohol-related hospitalizations were determined using Results: We identified 27,508 hospitalizations during the study periods. There were 72 alcohol-related hospitalizations per 100,000 patient-months during the prelockdown period, 10 per 100,000 patient-months during the lockdown, and 46 per 100,000 patient-months in the postlockdown period. Compared with the prelockdown period, the adjusted rate ratio for daily alcohol-related hospitalizations during lockdown was 0.20 (95% CI, 0.10-0.39) vs 0.72 (95% CI, 0.57-0.92) after the lockdown. A similar pattern was observed for all-cause hospitalizations. Conclusions: Our results suggest that COVID-19 pandemic lockdown measures were associated with fewer alcohol-related hospitalizations. Proactive outreach for vulnerable populations during lockdowns is needed.

Identifiers

PMID37868253
PMCPMC10589004
OpenAlexW4386366447

What OpenQuestion holds

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Registered trials

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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.