Evidence map›Paper›PMID 26728964›Full record

Trial reportJournal of medical Internet research2016

Improving Access to Online Health Information With Conversational Agents: A Randomized Controlled Experiment.

Timothy W Bickmore, Dina Utami, Robin Matsuyama, Michael K Paasche-Orlow

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 5 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

48 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  18. The Use of Chatbots in Oncological Care: A Narrative Review.International journal of general medicine · 2023
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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

4 authors.

Timothy W BickmoreNortheastern University, College of Computer and Information Science, Boston, MA, United States. bickmore@ccs.neu.edu.ORCID http://orcid.org/0000-0002-2676-9788

Funding

Research Ethics and Safety Promoted by Embodied Conversational TechnologyR01CA158219 · NCI · BOSTON MEDICAL CENTER · PI BICKMORE, TIMOTHY W., PAASCHE-ORLOW, MICHAEL · 2011 to 2015
$3.1M
NCI NIH HHS R01 CA158219NCI NIH HHS R01CA158219
6 · The paper itself

Abstract

backgroundConventional Web-based search engines may be unusable by individuals with low health literacy for finding health-related information, thus precluding their use by this population.

objectiveWe describe a conversational search engine interface designed to allow individuals with low health and computer literacy identify and learn about clinical trials on the Internet.

methodsA randomized trial involving 89 participants compared the conversational search engine interface (n=43) to the existing conventional keyword- and facet-based search engine interface (n=46) for the National Cancer Institute Clinical Trials database. Each participant performed 2 tasks: finding a clinical trial for themselves and finding a trial that met prespecified criteria.

resultsResults indicated that all participants were more satisfied with the conversational interface based on 7-point self-reported satisfaction ratings (task 1: mean 4.9, SD 1.8 vs mean 3.2, SD 1.8, P<.001; task 2: mean 4.8, SD 1.9 vs mean 3.2, SD 1.7, P<.001) compared to the conventional Web form-based interface. All participants also rated the trials they found as better meeting their search criteria, based on 7-point self-reported scales (task 1: mean 3.7, SD 1.6 vs mean 2.7, SD 1.8, P=.01; task 2: mean 4.8, SD 1.7 vs mean 3.4, SD 1.9, P<.01). Participants with low health literacy failed to find any trials that satisfied the prespecified criteria for task 2 using the conventional search engine interface, whereas 36% (5/14) were successful at this task using the conversational interface (P=.05).

conclusionsConversational agents can be used to improve accessibility to Web-based searches in general and clinical trials in particular, and can help decrease recruitment bias against disadvantaged populations.

Indexed as

Clinical Trials as TopicDatabases as TopicHealth LiteracySearch EngineSubject HeadingsAgedComputer LiteracyFemaleHumansInformation Storage and RetrievalInternetMaleMiddle AgedUser-Computer Interfacecomputer literacyembodied conversational agenthealth literacyinformation retrieval user interfaceInternetrelational agentsearch enginesearch user interfaceWeb search

Identifiers

PMID26728964
PMCPMC4717285

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.