Evidence map›Paper›PMID 38463634›Full record

ArticleDrug and alcohol dependence reports2024

Leveraging prescription monitoring program data to evaluate the implementation of buprenorphine telehealth flexibilities: An interrupted time series analysis in Texas.

Whanhui Chi, Chijioke Okeke, Douglas Thornton, Hua Chen, Abofazl Sadeghi, Tyler J Varisco

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2024. 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
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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.

Whanhui ChiThe Prescription Drug Misuse Education and Research Center, College of Pharmacy, University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA.
Chijioke OkekeThe Prescription Drug Misuse Education and Research Center, College of Pharmacy, University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA.
Douglas ThorntonThe Prescription Drug Misuse Education and Research Center, College of Pharmacy, University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA.
Hua ChenDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA.
Abofazl SadeghiDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA.
Tyler J VariscoThe Prescription Drug Misuse Education and Research Center, College of Pharmacy, University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In March 2020, policy changes by the Substance Abuse and Mental Health Services Administration and the Drug Enforcement Administration aimed to maintain access to office-based opioid treatment services by easing telehealth buprenorphine prescribing restrictions. However, the effectiveness of these changes remains largely unmeasured. The objective of this study was to measure the effectiveness of COVID-19-related telehealth flexibilities in an all-payer cohort from the Texas Prescription Monitoring Program. Methods: Using Texas Prescription Monitoring Program data, we identified oral buprenorphine and buprenorphine/naloxone prescriptions dispensed in Texas between September 1, 2019, and September 26, 2020. Weekly counts of prescriptions, prescribing physicians, and dispensing pharmacies were analyzed. An autoregressive integrated moving average (ARIMA) model estimated changes in prescription volume between pre-implementation (September 1, 2019 - February 15, 2020) and post-implementation (April 12, 2020 - September 26, 2020) periods. Results: Pre-flexibility, an average of 8898 (SD: 342) buprenorphine prescriptions were dispensed to 7829 (SD: 326) patients weekly. This declined to 8360 (SD: 247) prescriptions and 7661 (SD: 229) patients post-flexibility. Adjusted for seasonality, this represented a statistically significant average decline of -257.27 (95% CI: -426.06, -88.49) patients and -647.01 (95% CI: -856.67, -437.36) prescriptions per week. Discussion: Our results suggest a modest decline in buprenorphine dispensing volume early in the COVID-19 pandemic. While difficult to assess its significance, it can be assumed that telehealth flexibilities mitigated a potentially larger decline. Future research should explore system and individual-level barriers to telehealth utilization.

Indexed as

COVID-19Interrupted Time Series AnalysisOpiate substitution treatmentOpioid-Related DisordersPrescription Drug Monitoring ProgramsTelemedicine

Identifiers

PMID38463634
PMCPMC10920117

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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.