Evidence map›Paper›PMID 41923017›Full record

ArticleBMC public health2026

Building better conversations: results of a community-based online health misinformation and motivational interviewing training program in Alaska.

Drew B Cameron, L Grage, T W Hennessy, A Cheng, M Quinn, R Van Wyck, J A Meyer, G Garcia, J C Mapaye, K Cueva

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Drew B CameronDepartment of Health Policy and Management, Yale School of Public Health, Yale University, 60 College Street, New Haven, CT, 06520, USA. drew.cameron@yale.edu.ORCID http://orcid.org/0000-0002-5646-3894
L GrageInformation Insights, Fairbanks, AK, USA.
T W HennessyDivision of Population Health Sciences, University of Alaska Anchorage, Anchorage, AK, USA.
A ChengDepartment of Social and Behavioral Sciences, Yale School of Public Health, Yale University, New Haven, CT, USA.
M QuinnDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA.
R Van WyckInstitute of Social and Economic Research, University of Alaska Anchorage, Anchorage, AK, USA.
J A MeyerDivision of Population Health Sciences, University of Alaska Anchorage, Anchorage, AK, USA.
G GarciaDivision of Population Health Sciences, University of Alaska Anchorage, Anchorage, AK, USA.
J C MapayeDepartment of Journalism and Public Communications, University of Alaska, Anchorage, Fine Arts Building, 3211 Providence Drive, Anchorage, AK, 99508, USA.
K CuevaInstitute of Social and Economic Research, University of Alaska Anchorage, Anchorage, AK, USA.ORCID http://orcid.org/0000-0002-8013-9680

Funding

Yale Scholars in Implementation Science (YSIS)K12HL138037 · NHLBI · YALE UNIVERSITY · PI SHARIFI, MAHNOOSH · 2017 to 2021
$3.0M
NHLBI NIH HHS K12 HL138037NIH HHS K12HL138037
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has been accompanied by a proliferation of health misinformation, waning trust in health providers, and persistent vaccine hesitancy. To confront these challenges, a research team based in Alaska developed and pilot-tested an online training program called Building Better Conversations.

methodsBetween July and September 2022, we delivered a total of nine trainings to 116 community members in Alaska, including health professionals, nurses, public health students, and public information officers, among others. Content included COVID-19 recommendations, health misinformation tactics, motivational interviewing strategies, and interactive role plays to practice addressing misinformation in realistic scenarios. Pre- and post-training surveys collected demographic data, impressions of the training, and changes in knowledge and self-efficacy. Qualitative interviews further explored attitudes towards the training and were examined using content and thematic analysis.

resultsFrom July 2022 to April 2023, we collected 92 pre-training, 67 post-training, and 27 three-month follow-up surveys, and 38 in-depth interviews over two rounds. Participants expressed enthusiasm for the training, showing sustained improvements in misinformation recognition and self-efficacy identifying and discussing health information and misinformation, and talking with friends/family and others.

conclusionsThis study highlights the potential of an educational program to improve knowledge and self-confidence to recognize and address health misinformation.

Indexed as

CommunicationCOVID-19Education, DistanceMotivational InterviewingAdultAlaskaFemaleHumansMaleMiddle AgedCOVID-19MisinformationMotivational interviewingPre-bunkingRole play

Identifiers

PMID41923017
PMCPMC13169531

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.