Evidence map›Paper›PMID 39976772›Full record

ArticleJournal of patient-reported outcomes2025

Changes in healthcare engagement during the COVID-19 pandemic.

McKenzie Lockett, Gisselle C Tamayo, Benjamin D Schalet, Steven P Reise, Rachel Kimerling

Abstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

5 authors.

McKenzie LockettNational Center for PTSD, VA Palo Alto Health Care System, PTSD-334, 795 Willow Road, Menlo Park, CA, 94025, USA. mckenzie.lockett@va.gov.ORCID http://orcid.org/0000-0003-1857-7361
Gisselle C TamayoNational Center for PTSD, VA Palo Alto Health Care System, PTSD-334, 795 Willow Road, Menlo Park, CA, 94025, USA.
Benjamin D SchaletDepartment of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Steven P ReiseDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, USA.
Rachel KimerlingNational Center for PTSD, VA Palo Alto Health Care System, PTSD-334, 795 Willow Road, Menlo Park, CA, 94025, USA.

Funding

Health Services Research and Development 1I01HX002317HSRD VA I01 HX002317
6 · The paper itself

Abstract

backgroundHealthcare engagement, defined as the self-efficacy to enact the behaviors needed to obtain optimal benefit from health services, is an important aspect of healthcare quality. Measuring changes to healthcare engagement is essential to informing current and ongoing adaptations to health service delivery. The objective of the present study was to explore the responsiveness of the recently developed PROMIS

methodsBaseline data (2018-2019) were collected via a national mail survey of Veterans receiving VA care. For follow-up data, a subset of participants was randomly selected to be invited to a follow-up survey. Administrative data was used from the VA's Corporate Data Warehouse (CDW). We used mixed effects linear modeling to compare changes in healthcare engagement from baseline to follow-up between Veterans who reported healthcare disruptions and Veterans who did not report healthcare disruptions, adjusting for covariates.

resultsFrom baseline to follow-up, healthcare engagement scores increased on average by 2.84 points. Compared to Veterans who reported no disruptions, Veterans who experienced COVID-related healthcare disruptions demonstrated greater decreases to healthcare engagement (difference scores ≥ - 1.98, ps ≤ 0.002) Further, Veterans with more healthcare disruptions showed greater decreases in healthcare engagement relative to those with fewer healthcare disruptions, such that Veterans with 2 healthcare disruptions (difference score = -4.20) significantly differed from Veterans reporting only 1 healthcare disruption, and Veterans reporting 3 or more disruptions (difference score = -3.75) significantly differed from those with 2 disruptions.

conclusionOur results provide preliminary evidence of the PHE's responsiveness through demonstrating that environmental factors, such as pandemic-related factors, influence healthcare engagement. The COVID-19 pandemic had a complex effect on healthcare engagement, with healthcare engagement scores increasing overall during the pandemic but Veterans reporting COVID-related healthcare disruptions showing decreased changes in healthcare engagement. These findings support the utility of the PHE as a measure of healthcare engagement.

Indexed as

COVID-19VeteransAdultAgedDelivery of Health CareFemaleHumansMaleMiddle AgedPandemicsPatient Reported Outcome MeasuresSARS-CoV-2Surveys and QuestionnairesUnited StatesUnited States Department of Veterans AffairsPatient-centered careQuality indicatorsVA healthcare system

Identifiers

PMID39976772
PMCPMC11842638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.