Evidence map›Paper›PMID 36876266›Full record

ArticleProceedings (Baylor University. Medical Center)2023

The risks of attrition bias in longitudinal surveys of the impact of COVID-19.

Briget da Graca, Lauren R Hall, Katherine Sanchez, Monica M Bennett, Mark B Powers, Ann Marie Warren

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

Briget da GracaBaylor Scott & White Research Institute, Dallas, Texas.ORCID https://orcid.org/0000-0002-8634-7122
Lauren R HallBaylor Scott & White Research Institute, Dallas, Texas.
Katherine SanchezBaylor Scott & White Research Institute, Dallas, Texas.
Monica M BennettBaylor Scott & White Research Institute, Dallas, Texas.
Mark B PowersBaylor University Medical Center, Dallas, Texas.
Ann Marie WarrenBaylor Scott & White Research Institute, Dallas, Texas.ORCID https://orcid.org/0000-0002-3753-5573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 pandemic continues, interest in mental health impacts is shifting from short-term to long-term outcomes. As part of a longitudinal online survey study examining mental health impacts of the pandemic, we assessed the risk of attrition bias related to a history of depression-a condition research shows can increase challenges of recruitment and retention. Among 5023 participants who completed the baseline survey, significantly more reporting a history of depression were lost to follow-up: baseline to 3 months: 497/760 (65.4%) vs 2228/4263 (52.3%),

Indexed as

Attrition biasCOVID-19longitudinal studymental health

Identifiers

PMID36876266
PMCPMC9980691

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.