ArticleInquiry : a journal of medical care organization, provision and financing
A Qualitative Process Evaluation and Quality Improvement of a State Drug Overdose Reporting System Data Collection Approach.
Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tennessee registered the second-highest drug overdose mortality rate of any state in 2022; such deaths have grown by 90% from 2019 to 2022. Tennessee has participated in the State Unintentional Drug Overdose Reporting System (SUDORS) since 2018. An abstraction team synthesizes data for SUDORS from death certificates, autopsies, and other sources. The purpose of this study was to engage in a comprehensive qualitative evaluation of our SUDORS process to distill insights that could improve abstraction speed and quality while reducing abstractor burnout. We conducted 2 rounds of interviews and focus groups with all 7 members of the Tennessee abstraction team in late 2023 and early 2024. The researcher asked questions regarding the adequacy of the current project management approach and team communication level, abstractors' stress levels, the need for further training, and whether additional data science-based tools could be deployed to increase the speed and accuracy of abstraction. The study yielded several actionable insights for improving abstraction capacity and lessening stress burdens. Accordingly, we made changes to our project management, team communication, and training approaches; worked to better integrate our extant data science tools; and took steps to improve mental well-being. As a result, the average time it takes for an abstractor to enter a case into the NVDRS platform dropped from 12.2 to 6.5 minutes, and all team members noted a decrease in stress levels. The changes made as a result of the findings of this study will help the State keep pace with a high case load and will support abstractors' mental well-being.
Indexed as
Identifiers
What OpenQuestion holds
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.