Evidence map›Paper›PMID 33615433›Full record

ArticleJournal of the American Geriatrics Society2021

Development and usability evaluation of VOICES: A digital health tool to identify elder mistreatment.

Fuad Abujarad, Davis Ulrich, Chelsea Edwards, Esther Choo, Michael V Pantalon, Karen Jubanyik, James Dziura, Gail D'Onofrio, Thomas M Gill

Abstract readEvaluation Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Digital Informed Consent for Older Adults in Emergency Department Research.Applied Human Factors and Ergonomics Conference · 2023
    Article
  11. The Process of Translating and Culturally Adapting a Digital Elder Abuse Intervention.International journal of translation and interpretation studies
    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

9 authors.

Fuad AbujaradDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-1195-6812
Davis UlrichDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Chelsea EdwardsDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Esther ChooDepartment of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Michael V PantalonDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Karen JubanyikDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
James DziuraDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Gail D'OnofrioDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Thomas M GillDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-6450-0368

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Feasibility of Virtual cOaching in making Informed Choices on Elder Mistreatment Self-Disclosure (VOICES)R01AG060084 · NIA · YALE UNIVERSITY · PI ABUJARAD, FUAD · 2018 to 2021
$2.0M
NCATS NIH HHS UL1 TR001863NIA NIH HHS P30 AG021342NIA NIH HHS R01 AG060084NIA NIH HHS R01AG060084
6 · The paper itself

Abstract

BACKGROUND/

objectivesA major barrier for society in overcoming elder mistreatment is an inability to accurately identify victims. There are several barriers to self-reporting elder mistreatment, including fear of nursing home placement or losing autonomy or a caregiver. Existing strategies to identify elder mistreatment neglect to empower those who experience it with tools for self-reporting. In this project, we developed and evaluated the usability of VOICES, a self-administrated digital health tool that screens, educates, and motivates older adults to self-report elder mistreatment.

designCross-sectional study with User-Centered Design (UCD) approach.

settingYale School of Medicine and the Agency on Aging of South-Central Connecticut.

participantsThirty eight community-dwelling and cognitively intact older adults aged 60 years and older, caregivers, clinicians, and social workers.

interventionA tablet-based self-administrated digital health tool that screens, educates, and motivates older adults to self-report elder mistreatment. MEASUREMENTS: Qualitative and quantitative data were obtained from: (1) focus groups participants including: feedback from open-ended discussion, demographics, and a post-session survey; (2) usability evaluation including: demographics, usability measures, comfortability with technology, emotional state, and open-ended feedback.

resultsFocus group participants (n = 24) generally favored using a tablet-based tool to screen for elder mistreatment and expressed comfort answering questions on elder mistreatment using tablets. Usability evaluation participants (n = 14) overall scored VOICES a mean System Usability Scale (SUS) score of 86.6 (median = 88.8), higher than the benchmark SUS score of 68, indicating excellent ease of use. In addition, 93% stated that they would recommend the VOICES tool to others and 100% indicated understanding of VOICES' information and content.

conclusionOur findings show that older adults are capable, willing, and comfortable with using the innovative and self-administrated digital tool for elder mistreatment screening. Our future plan is to conduct a feasibility study to evaluate the use of VOICES in identifying suspicion of mistreatment.

Indexed as

Elder AbuseIndependent LivingMass ScreeningSelf ReportUser-Computer InterfaceAgedCaregiversComputers, HandheldConnecticutCross-Sectional StudiesFearFemaleFocus GroupsHumansMaleMiddle Agedabuse screening toolsdigital healthelder mistreatmentusability evaluation

Identifiers

PMID33615433
PMCPMC8192463

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.