Evidence map›Paper›PMID 34158046›Full record

ArticleBMC medical informatics and decision making2021

Key changes to improve social presence of a virtual health assistant promoting colorectal cancer screening informed by a technology acceptance model.

Melissa J Vilaro, Danyell S Wilson-Howard, Mohan S Zalake, Fatemeh Tavassoli, Benjamin C Lok, François P Modave, Thomas J George, Folakemi Odedina, Peter J Carek, Janice L Krieger

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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.

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  7. Review
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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

10 authors at 3 institutions in 1 country.

Melissa J VilaroSTEM Translational Communication Center (STCC), University of Florida, Weimer Hall 2043, PO Box 118400, Gainesville, FL, 32611, USA. mgraveley@ufl.edu.
Danyell S Wilson-HowardBethune-Cookman University, Daytona Beach, USA.
Mohan S ZalakeComputer and Information Science and Engineering, University of Florida, Gainesville, USA.
Fatemeh TavassoliComputer and Information Science and Engineering, University of Florida, Gainesville, USA.
Benjamin C LokComputer and Information Science and Engineering, University of Florida, Gainesville, USA.
François P ModaveHealth Outcomes and Biomedical Informatics, University of Florida, Gainesville, USA.
Thomas J GeorgeHematology and Oncology, University of Florida, Gainesville, USA.
Folakemi OdedinaCollege of Pharmacy and College of Medicine, University of Florida, Gainesville, USA.
Peter J CarekCommunity Health and Family Medicine, University of Florida, Gainesville, USA.
Janice L KriegerSTEM Translational Communication Center (STCC), University of Florida, Weimer Hall 2043, PO Box 118400, Gainesville, FL, 32611, USA.
University of Florida · USUniversity of Florida Health · USBethune-Cookman University · US

Funding

Reporting Nutrition Risk Factors via Virtual Humans for Colorectal Cancer Prevention.R01CA207689 · NCI · UNIVERSITY OF FLORIDA · PI LOK, BENJAMIN, RAUP-KRIEGER, JANICE LEE · 2017 to 2021
$3.7M
Optimizing the Population Representativeness of Older Adults in Cancer TrialsR21CA253394 · NCI · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, GUO, YI · 2021 to 2021
$392k
NCI NIH HHS R01 CA207689NCI NIH HHS R21 CA253394
6 · The paper itself

Abstract

backgroundUnderstanding how older, minoritized patients attend to cues when interacting with web-based health messages may provide opportunities to improve engagement with novel health technologies. We assess acceptance-promoting and acceptance-inhibiting cues of a web-based, intervention promoting colorectal cancer (CRC) screening with a home stool test among Black women. MATERIALS AND

methodsFocus group and individual interview data informed iterative changes to a race- and gender-concordant virtual health assistant (VHA). A user-centered design approach was used across 3 iterations to identify changes needed to activate cues described as important; such as portraying authority and expertise. Questionnaire data were analyzed using non-parametric tests for perceptions of cues. Analysis was guided by the Technology Acceptance Model.

resultsPerceptions of interactivity, social presence, expertise, and trust were important cues in a VHA-delivered intervention promoting CRC screening. Features of the web-based platform related to ease of navigation and use were also discussed. Participant comments varied across the 3 iterations and indicated acceptance of or a desire to improve source cues for subsequent iterations. We highlight the specific key changes made at each of three iterative versions of the interactive intervention in conjunction with user perception of changes. DISCUSSION: Virtual agents can be adapted to better meet patient expectations such as being a trustworthy and expert source. Across three evolving versions of a Black, VHA, cues for social presence were particularly important. Social presence cues helped patients engage with CRC screening messages delivered in this novel digital context.

conclusionsWhen using a VHA to disseminate health information, cues associated with acceptability can be leveraged and adapted as needed for diverse audiences. Patient characteristics (age, identity, health status) are important to note as they may affect perceptions of a novel health technologies ease of use and relevancy according to the leading models.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerFemaleFocus GroupsHumansOccult BloodTechnologyColorectal cancer screeningRural healthTechnology acceptance modelVirtual agentWeb-based intervention

Identifiers

PMID34158046
PMCPMC8218395
OpenAlexW3174682107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.