Evidence map›Paper›PMID 41059031›Full record

ArticleInnovation in aging2025

Addressing data gaps in opioid overdose reporting: enhancing systems to protect vulnerable older adults.

Joy Alonzo, Melissa Romain-Harrott, Wendell Campbell, Kristen Clancy, Keith Biggers, Marcia Ory

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Joy AlonzoTexas A&M Health Science Center, Texas A&M University, College Station, Texas, United States.ORCID https://orcid.org/0000-0002-3603-4099
Melissa Romain-HarrottOverdose Response Strategy (ORS), Houston, Texas, United States.
Wendell CampbellHouston High Intensity Drug Trafficking Area (HIDTA) Program, Houston, Texas, United States.
Kristen ClancyHouston Recovery Initiative, Houston, Texas, United States.
Keith BiggersTexas A&M Center for Applied Technology (TCAT), Texas A&M University, College Station, Texas, United States.
Marcia OryTexas A&M Health Science Center, Texas A&M University, College Station, Texas, United States.ORCID https://orcid.org/0000-0001-8036-2383

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While opioid overdoses impact Americans of all ages, the full extent of the impact of the evolving opioid crisis on older adults remains poorly understood due to significant gaps in data reporting. Inaccurate documentation of drug poisoning deaths-where opioids are often not listed as primary or secondary causes-obscures the real toll. Additionally, less is known about non-fatal overdoses due to inconsistent reporting and a lack of standardized data collection. To address these challenges, there is a need to reimagine data systems that link local, state, and federal sources to capture geographical risk factors. This article will reflect on current opioid overdose prevalence rates, discuss challenges in existing data solutions, and highlight novel attempts toward building better data systems to enhance our understanding of the risks for and effectiveness of different opioid prevention efforts. Texas A&M University's efforts in leveraging its data integration capabilities to link overdose events with specific interventions, utilizing diverse datasets to offer a more holistic view of the crisis and tailoring responses based on regional needs will serve as a case example. However, achieving optimal data systems will require further improvements, such as standardizing data across districts and enhancing interoperability between public health agencies. This coordinated effort, integrating geographical and demographic risk factors, will be essential to creating timely, accurate data systems that inform targeted interventions for persons of all ages and reduce direct and indirect impacts on older adults and their families.

Indexed as

Data scienceData visualizationDecision AnalyticsOpioid Use

Identifiers

PMID41059031
PMCPMC12498330

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.