Evidence map›Paper›PMID 39250216›Full record

ArticleJMIR human factors2024

Lessons Learned From Developing Dashboards to Support Decision-Making for Community Opioid Response by Community Stakeholders: Mixed Methods and Multisite Study.

Naleef Fareed, Ramona G Olvera, Yiting Wang, Michael Hayes, Elizabeth Liz Larimore, Peter Balvanz, Ronald Langley, Corinna A Noel, Peter Rock, Daniel Redmond and 9 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04111939 (HEALing Communities Study), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT04111939 nacompletednot on this map

HEALing Communities Study: Developing and Testing an Integrated Approach to Address the Opioid Crisis

TypeinterventionalSponsorRTI InternationalRan2019 to 2025Enrolled67ConditionsOpioid Use Disorder (OUD)ArmsCommunities That HEAL, Wait-list control
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Building Public Health Data Dashboards: Tutorial Playbook.JMIR public health and surveillance · 2026
    Article
  7. Article
  8. Article
  9. 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

19 authors.

Naleef FareedDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, United States.ORCID 0000-0001-8764-1625
Ramona G OlveraCenter for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States.ORCID 0000-0002-1150-5034
Yiting WangDepartment of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, United States.ORCID 0000-0001-9973-4538
Michael HayesResearch Triangle Institute, Research Triangle Park, NC, United States.ORCID 0000-0003-1752-5914
Elizabeth Liz LarimoreCenter for Drug and Alcohol Research, University of Kentucky, Lexington, KY, United States.ORCID 0009-0001-6270-8288
Peter BalvanzClinical Addiction Research and Evaluation Unit, Section of General Internal Medicine, Boston Medical Center, Boston, MA, United States.ORCID 0000-0003-1273-8275
Ronald LangleyCenter for Drug and Alcohol Research, University of Kentucky, Lexington, KY, United States.ORCID 0009-0005-0302-6104
Corinna A NoelDepartment of Public and Ecosystem Health, Cornell University, Ithaca, NY, United States.ORCID 0000-0002-2489-6775
Peter RockCenter for Drug and Alcohol Research, University of Kentucky, Lexington, KY, United States.ORCID 0000-0002-9893-4084
Daniel RedmondInstitute for Biomedical Informatics, University of Kentucky, Kentucky, KY, United States.ORCID 0009-0000-2048-416X
Jessica NeufeldSocial Intervention Group, School of Social Work, Columbia University, New York, NY, United States.ORCID 0009-0009-1065-0537
Sarah KosakowskiClinical Addiction Research and Evaluation Unit, Section of General Internal Medicine, Boston Medical Center, Boston, MA, United States.ORCID 0009-0000-3617-8837
Daniel HarrisInstitute for Pharmaceutical Outcomes and Policy, University of Kentucky, Lexington, KY, United States.ORCID 0000-0001-9139-3433
Marc LaRochelleClinical Addiction Research and Evaluation Unit, Section of General Internal Medicine, Boston Medical Center, Boston, MA, United States.ORCID 0000-0001-7344-1200
Timothy R HuertaCenter for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States.ORCID 0000-0002-9978-3564
LaShawn GlasgowResearch Triangle Institute, Research Triangle Park, NC, United States.ORCID 0000-0003-3336-7039
Emmanuel OgaDepartment of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, United States.ORCID 0000-0002-0744-5681
Jennifer VillaniNational Institute on Drug Abuse, Bethesda, MD, United States.ORCID 0000-0003-2337-2504
Elwin WuSocial Intervention Group, School of Social Work, Columbia University, New York, NY, United States.ORCID 0000-0003-4253-3430

Funding

MassHEAL - Reducing overdose deaths by 40% (2019-2023)UM1DA049412 · NIDA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2019 to 2023
$82.9M
Kentucky CAN HEAL (Communities and Networks Helping End Addiction Long-term)UM1DA049406 · NIDA · UNIVERSITY OF KENTUCKY · PI WALSH, SHARON L. · 2019 to 2022
$81.7M
CHASE: An Innovative County-Level Public Health Response to the Opioid Epidemic in New York StateUM1DA049415 · NIDA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI EL-BASSEL, NABILA, GILBERT, LOUISA · 2019 to 2023
$77.3M
Optimizing HEALing in Ohio Communities (OHiO)-Health Equity SupplementUM1DA049417 · NIDA · OHIO STATE UNIVERSITY · PI FREISTHLER, BRIDGET J, WINHUSEN, T JOHN · 2019 to 2023
$66.3M
HEALing Communities Study Health Equity ResearchUM1DA049394 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI GLASGOW, LASHAWN, KNOTT, CHARLES · 2019 to 2023
$40.6M
NIDA NIH HHS UM1 DA049394NIDA NIH HHS UM1 DA049406NIDA NIH HHS UM1 DA049412NIDA NIH HHS UM1 DA049415NIDA NIH HHS UM1 DA049417
6 · The paper itself

Abstract

backgroundData dashboards are published tools that present visualizations; they are increasingly used to display data about behavioral health, social determinants of health, and chronic and infectious disease risks to inform or support public health endeavors. Dashboards can be an evidence-based approach used by communities to influence decision-making in health care for specific populations. Despite widespread use, evidence on how to best design and use dashboards in the public health realm is limited. There is also a notable dearth of studies that examine and document the complexity and heterogeneity of dashboards in community settings.

objectiveCommunity stakeholders engaged in the community response to the opioid overdose crisis could benefit from the use of data dashboards for decision-making. As part of the Communities That HEAL (CTH) intervention, community data dashboards were created for stakeholders to support decision-making. We assessed stakeholders' perceptions of the usability and use of the CTH dashboards for decision-making.

methodsWe conducted a mixed methods assessment between June and July 2021 on the use of CTH dashboards. We administered the System Usability Scale (SUS) and conducted semistructured group interviews with users in 33 communities across 4 states of the United States. The SUS comprises 10 five-point Likert-scale questions measuring usability, each scored from 0 to 4. The interview guides were informed by the technology adoption model (TAM) and focused on perceived usefulness, perceived ease of use, intention to use, and contextual factors.

resultsOverall, 62 users of the CTH dashboards completed the SUS and interviews. SUS scores (grand mean 73, SD 4.6) indicated that CTH dashboards were within the acceptable range for usability. From the qualitative interview data, we inductively created subthemes within the 4 dimensions of the TAM to contextualize stakeholders' perceptions of the dashboard's usefulness and ease of use, their intention to use, and contextual factors. These data also highlighted gaps in knowledge, design, and use, which could help focus efforts to improve the use and comprehension of dashboards by stakeholders.

conclusionsWe present a set of prioritized gaps identified by our national group and list a set of lessons learned for improved data dashboard design and use for community stakeholders. Findings from our novel application of both the SUS and TAM provide insights and highlight important gaps and lessons learned to inform the design of data dashboards for use by decision-making community stakeholders.

trial registrationClinicalTrials.gov NCT04111939; https://clinicaltrials.gov/study/NCT04111939.

Indexed as

Decision MakingAdultData VisualizationFemaleHumansMaleOpioid-Related DisordersQualitative ResearchStakeholder Participationdashboardsdata visualizationshuman-centered designoverdose epidemicpublic health

Identifiers

PMID39250216
PMCPMC11420584

What OpenQuestion holds

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LicenceCC BY
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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.