Evidence map›Paper›PMID 41955547›Full record

ArticleJMIR public health and surveillance2026

Building Public Health Data Dashboards: Tutorial Playbook.

Elwin Wu, Raymond Balise, Benjamin Katz, Daniel Harris, Matthew Bullard, Naleef Fareed, Marc Larochelle, Jennifer Villani

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 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

8 authors.

Elwin WuSocial Intervention Group, Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, United States, 1 917-439-7391.ORCID 0000-0003-4253-3430
Raymond BaliseDivision of Biostatistics and Bioinformatics, Department of Public Health Sciences, University of Miami, Miami, FL, United States.ORCID 0000-0002-9856-5901
Benjamin KatzInstitute for Implementation Science in Population Health, City University of New York (CUNY), New York, NY, United States.ORCID 0000-0002-4069-3409
Daniel HarrisInstitute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States.ORCID 0000-0001-9139-3433
Matthew BullardCenter for Health Data Science, Boston University School of Public Health, Boston, MA, United States.ORCID 0009-0002-7922-8456
Naleef FareedCATALYST - The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States.ORCID 0000-0001-8764-1625
Marc LarochelleClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States.ORCID 0000-0001-7344-1200
Jennifer VillaniNational Institute of Drug Abuse, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0003-2337-2504

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

Unlabelled: Public health data dashboards have substantial potential to improve transparency, understanding, and decision-making at multiple levels, from individuals to public health practitioners and policymakers. However, creating effective dashboards presents many challenges. In this case-based tutorial on public health dashboard development, we share lessons learned from our experience developing data dashboards for the HEALing Communities Study (HCS), a National Institutes of Health (NIH)-funded, community-engaged intervention to deploy evidence-based practices to reduce opioid overdose deaths in 67 communities across 4 states. We present key decision points dashboard teams must address, along with the major considerations and trade-offs that shaped our approach. First, we describe core considerations of the who, what, why, where, when, and how of data dashboard development. Second, we outline steps in data curation, including the identification of key metrics and potential data sources and developing processes to acquire the data. Third, we discuss practical aspects of developing data visualizations that can effectively communicate key messages to the end users of interest. Fourth, we describe the infrastructure considerations to host and publish data dashboards. And finally, we discuss maintenance and sustainability of the dashboard. While the material can be read sequentially as a step-by-step guide, we refer to this resource as a "playbook" because readers may engage with specific domains in a random-access fashion, that is, based on their specific needs and/or starting point rather than a fixed sequence. The information, supplemental materials, and resources will assist individuals and organizations seeking to build data dashboards by fostering context-sensitive evaluation of design and implementation choices to realize the promise of data-driven decision-making.

Indexed as

Dashboard SystemsPublic HealthHumansUnited Statesdashboard systemsdata visualizationdrug overdoseopioid epidemicpublic health

Identifiers

PMID41955547
PMCPMC13065236

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.