ArticleInnovation in aging2025
Addressing data gaps in opioid overdose reporting: enhancing systems to protect vulnerable older adults.
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.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- National trends and disparities in mortality involving bladder cancer and substance use disorders in the United States, 1999-2023.Frontiers in oncology · 2026Article
- One crisis, many ages: investigating opioid use disorder across the life course.Innovation in aging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.