Academic Journal
A Standardized Framework for Evaluating State Opioid Surveillance Dashboards: A Health Informatics Assessment.
| Τίτλος: | A Standardized Framework for Evaluating State Opioid Surveillance Dashboards: A Health Informatics Assessment. |
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| Συγγραφείς: | Aguiar C; California Northstate University College of Medicine, Elk Grove, CA, USA., Bolus M; Anesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue (112A), Palo Alto, CA, 94304, USA., Mudumbai SC; Anesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue (112A), Palo Alto, CA, 94304, USA. mudumbai@stanford.edu.; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA. mudumbai@stanford.edu. |
| Πηγή: | Journal of medical systems [J Med Syst] 2026 May 23; Vol. 50 (1). Date of Electronic Publication: 2026 May 23. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE |
| Imprint Name(s): | Publication: 1999- : New York, NY : Kluwer Academic/Plenum Publishers Original Publication: New York, Plenum Press. |
| Ιατρικοί όροι (MeSH): | Public Health Surveillance*/methods , Public Health Informatics*/methods , Dashboard Systems*/standards , Dashboard Systems*/statistics & numerical data , Opioid Epidemic*/statistics & numerical data , Opioid Epidemic*/trends, United States/epidemiology ; Humans ; Analgesics, Opioid |
| Περίληψη: | Background: State public health agencies across the U.S. depend on opioid surveillance dashboards to monitor overdose trends and guide interventions. Despite their central role in decision-making, no standardized framework exists to evaluate how well these dashboards actually function. Objective: We developed a health informatics framework to systematically assess state opioid surveillance dashboards and applied it across all 50 U.S. states. Methods: Our framework evaluates dashboards across nine domains (including temporal analysis, geographic granularity, data disaggregation, visualization features, narrative support, simplification techniques, and interactive functionality) using 28 specific sub-variables. Sub-variables were selected based on public health informatics literature on effective dashboard design, including features identified in COVID-19 dashboard evaluations and usability frameworks. We scored each feature as either present or absent, creating composite scores with a theoretical maximum of 28 points. All 50 U.S. state-level dashboards were reviewed twice by the study team, with an external consistency check on a subset of 10 dashboards. We calculated the correlation coefficient between dashboard scores and state population estimates. Results: Dashboard scores varied widely, ranging from 12 to 22 points (mean:19.18, standard deviation:2.20). Three states (Delaware, Indiana, and New York) achieved the highest score of 22 by offering comprehensive geographic detail, extensive data breakdowns, and full interactive capabilities. Interactive filtering was present in 92% of dashboards, but only 80% enabled switching between visualization modes. While nearly all dashboards showed time trends, only 6% provided zip code-level detail, and over a third lacked race and ethnicity data. Single external reviewer demonstrated strong correlation (r = 0.84, p = 0.002). Dashboard scores were not correlated with state population size (r = 0.187, p = 0.193). Conclusions: State opioid surveillance dashboards varied substantially in observable capabilities. This framework provides a standardized method to compare dashboard features and identify gaps that may inform future refinement. (© 2026. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.) |
| Competing Interests: | Declarations. Ethics Approval and Consent to Participate: Not applicable. Consent for Publication: Not applicable. Competing Interests: The authors declare no competing interests. Clinical Trial Number: Not applicable. |
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| Contributed Indexing: | Keywords: Evaluation framework; Health informatics; Opioid surveillance; Public health dashboards |
| Substance Nomenclature: | 0 (Analgesics, Opioid) |
| Entry Date(s): | Date Created: 20260523 Date Completed: 20260528 Latest Revision: 20261010 |
| Update Code: | 20261010 |
| DOI: | 10.1007/s10916-026-02399-w |
| PMID: | 42176193 |
| Βάση Δεδομένων: | MEDLINE |
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