Evidence map›Paper›PMID 36479062›Full record

ArticleContemporary clinical trials communications2022

The helping older people engage (HOPE) study: Protocol & COVID modifications for a randomized trial.

Kimberly A Van Orden, Yeates Conwell, Benjamin P Chapman, April Buttaccio, Alexandra VanBergen, Ellen Beckwith, Angela Santee, Jody Rowe, Deborah Palumbos, Geoffrey Williams and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03343483 (The Getting Active Project), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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.

NCT03343483 nacompletednot on this map

The Getting Active Project (GAP): A Randomized Trial of Volunteering to Reduce Loneliness in Later Life

TypeinterventionalSponsorUniversity of RochesterRan2018 to 2023Enrolled291ConditionsLoneliness, Quality of LifeArmsVolunteering, Life Review
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Loneliness as a Public Health Challenge: A Systematic Review and Meta-Analysis to Inform Policy and Practice.European journal of investigation in health, psychology and education · 2025
    Review
  3. Review
  4. The 5D indicators of suicide risk in older adults who are lonely.Annals of the New York Academy of Sciences · 2025
    Article
  5. Article
  6. 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

13 authors at 4 institutions in 1 country.

Kimberly A Van OrdenDepartment of Psychiatry, University of Rochester Medical Center, USA.
Yeates ConwellDepartment of Psychiatry, University of Rochester Medical Center, USA.
Benjamin P ChapmanDepartment of Psychiatry, University of Rochester Medical Center, USA.
April ButtaccioDepartment of Psychiatry, University of Rochester Medical Center, USA.
Alexandra VanBergenDepartment of Psychiatry, University of Rochester Medical Center, USA.
Ellen BeckwithDepartment of Psychiatry, University of Rochester Medical Center, USA.
Angela SanteeDepartment of Psychology, University of Rochester, USA.
Jody RoweLifespan of Greater Rochester, Inc, USA.
Deborah PalumbosLifespan of Greater Rochester, Inc, USA.
Geoffrey WilliamsDepartment of Medicine, University of Rochester Medical Center, USA.
Susan MessingDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, USA.
Silvia SörensenWarner School of Education, University of Rochester, USA.
Xin TuDepartment of Family Medicine and Public Health, Division of Biostatistics and Bioinformatics, UC San Diego School of Medicine, La Jolla, CA, USA.
University of Rochester Medical Center · USLifespan · USUniversity of Rochester · USUniversity of California San Diego · US

Funding

The Getting Active Project (GAP): A Randomized Trial of Volunteering to Reduce Loneliness in Later LifeR01AG054457 · NIA · UNIVERSITY OF ROCHESTER · PI VAN ORDEN, KIMBERLY ALLISON · 2017 to 2021
$2.3M
NIA NIH HHS R01 AG054457
6 · The paper itself

Abstract

Objectives: Evidence-based strategies to reduce loneliness in later life are needed because loneliness impacts all domains of health, functioning, and quality of life. Volunteering is a promising strategy, as a large literature of observational studies documents associations between volunteering and better health and well-being. However, relatively few studies have used randomized controlled trials (RCTs) to examine benefits of volunteering, and none have examined loneliness. The primary objective of the Helping Older People Engage (HOPE) study is to examine the social-emotional benefits of a social volunteering program for lonely older adults. This manuscript describes the rationale and design of the trial. Methods: We are randomly assigning adults aged 60 or older (up to 300) who report loneliness to 12 months of either AmeriCorps Seniors volunteering program or an active control (self-guided life review). Co-primary outcomes are assessed via self-report-loneliness (UCLA Loneliness Scale) and quality of life (WHOQOL-Bref). Enrollment was completed in May 2022 and follow-up assessments will continue through May 2023, with completion of primary outcomes soon thereafter. Conclusions: Since older adults who report loneliness are less likely to actively seek out volunteering opportunities, if results support efficacy of volunteering for reducing loneliness, dissemination and scaling up efforts may involve connecting primary care patients who are lonely with AmeriCorps Seniors through aging services agencies.This RCT is registered at clinicaltrials.gov (NCT03343483).

Indexed as

AgingLonelinessOlder adultQuality of lifeSocial connectionVolunteerism

Identifiers

PMID36479062
PMCPMC9720528
OpenAlexW4311023736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.