Evidence map›Paper›PMID 38982942›Full record

Trial reportAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2024

Caregivers' Internet-Delivered Insomnia Intervention Engagement and Benefit: SHUTi-CARE Trial Primary Quantitative Analysis.

Kelly M Shaffer, Lee M Ritterband, Wen You, Meghan K Mattos, Daniel J Buysse, Jillian V Glazer, Julie Klinger, Heidi Donovan

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04986904 (Optimizing Efficiency and Impact of Digital Health Interventions for Caregivers), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT04986904 nacompletednot on this map

Optimizing Efficiency and Impact of Digital Health Interventions for Caregivers: A Mixed Methods Approach

TypeinterventionalSponsorUniversity of VirginiaRan2022 to 2023Enrolled102ConditionsFamily Caregivers, Insomnia, Sleep Initiation and Maintenance DisordersArmsSHUTi (Sleep Healthy Using the Internet)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Caregiver Experiences With an Internet-Delivered Insomnia Intervention: SHUTi-CARE Trial Primary Qualitative Analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2024
    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

8 authors.

Kelly M ShafferCenter for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-9749-8006
Lee M RitterbandCenter for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA.
Wen YouSchool of Medicine, University of Virginia, Charlottesville, VA, USA.
Meghan K MattosCenter for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-7355-7190
Daniel J BuysseSchool of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3288-1864
Jillian V GlazerCenter for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA.
Julie KlingerNational Center on Family Support, University of Pittsburgh, Pittsburgh, PA, USA.
Heidi DonovanSchool of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Optimizing efficiency and impact of digital health interventions for caregivers: A mixed methods approachR21TR003522 · NCATS · UNIVERSITY OF VIRGINIA · PI SHAFFER, KELLY MCLEAN · 2021 to 2022
$455k
NCATS NIH HHS R21 TR003522NCATS NIH HHS R21TR003522NIH HHS
6 · The paper itself

Abstract

backgroundDelivering insomnia treatment by the Internet holds promise for increasing care access to family caregivers, but their ability to adhere to and benefit from such fully-automated programs has not been rigorously tested. PURPOSE: This fully-powered, single-group trial tested whether characteristics of the caregiving context influence high-intensity caregivers' engagement with and benefit from an empirically validated Internet intervention for insomnia.

methodsAt baseline, caregivers providing unpaid time- and responsibility-intensive care who reported insomnia (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic white, 66% ≥college degree) completed questionnaires about caregiving context and sleep, then 10 prospectively-collected online daily sleep diaries. Caregivers then received access to SHUTi (Sleep Healthy Using the Internet), which has no caregiver-specific content, for 9 weeks, followed by post-assessment (questionnaires, diaries). Engagement was tracked by the SHUTi delivery system.

resultsSixty caregivers completed SHUTi, 22 initiated but did not complete SHUTi, and 18 did not initiate SHUTi. Caregivers were more likely to use SHUTi (than not use SHUTi) when their care recipient (CR) had worse functioning, and were more likely to complete SHUTi when supporting more CR activities of daily living (ADL; ps < .03). Higher caregiver guilt, more CR problem behaviors, and being bedpartners with the CR related to more improved sleep outcomes, whereas supporting more CR instrumental ADL related to less improvement (ps < .05).

conclusionsFactors associated with greater caregiving burden, including greater CR impairment and caregiving guilt, were generally associated with better engagement and outcomes. Caregivers with substantial burdens can adhere to and benefit from a fully automated insomnia program without caregiver-specific tailoring.

Indexed as

CaregiversSleep Initiation and Maintenance DisordersAdultAgedFemaleHumansInternetInternet-Based InterventionMaleMiddle AgedCognitive-behavioral therapy for insomniaFamily caregiversInsomniaInternet interventionSleep initiation and maintenance disorders

Identifiers

PMID38982942
PMCPMC11404505

What OpenQuestion holds

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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.