| Literature DB >> 34115125 |
Shailina Keshwani1, Ivanna Grande1, Michael Maguire1, Amie Goodin1,2, Scott M Vouri1,2,3, Juan M Hincapie-Castillo1,2,4.
Abstract
Importance: Previous research has shown an immediate reduction in new opioid users and use after implementation of the opioid supply restriction laws. Assessment of the association between opioid restrictions and alternative treatment options, such as nonsteroidal anti-inflammatory drugs (NSAIDs), is needed to evaluate potential unintended consequences for patients requiring analgesia. Objective: To evaluate the association between an opioid restriction law in Florida and use of prescription NSAIDs. Design, Setting, and Participants: This quality improvement study used interrupted time series analyses accounting for autocorrelation to estimate immediate and trend changes in the prescribing and use of prescription NSAIDs in Florida before and after implementation of a state law limiting opioid prescriptions to a 3-day supply. Participants were enrollees in a single private health plan of a large university and health system employer in Florida from January 2015 to June 2019. Exposures: Prescriptions for NSAIDs, ascertained from pharmacy claims data. Main Outcomes and Measures: The following outcomes were calculated monthly per 1000 plan enrollees: (1) number of NSAID users; (2) mean days' supply of NSAIDs per prescription; and (3) mean number of NSAID prescriptions. Individuals were classified as NSAID users if they had at least 1 NSAID prescription in a given month. Analysis was stratified by route of NSAID administration (oral or nonoral).Entities:
Mesh:
Substances:
Year: 2021 PMID: 34115125 PMCID: PMC8196340 DOI: 10.1001/jamanetworkopen.2021.13383
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Coefficients From Interrupted Time Series Models Using Monthly Autoregressive Moving Averages
| Analysis | Intercept (95% CI) | Time (95% CI) | Level (95% CI) | Trend (95% CI) |
|---|---|---|---|---|
| NSAID prescriptions per 1000 enrollees | ||||
| All | 36.80 (34.28 to 39.32) | −0.03 (−0.13 to 0.07) | 1.49 (−3.38 to 6.37) | 0.15 (−0.47 to 0.77) |
| Oral | 35.22 (32.74 to 37.69) | −0.15 (−0.25 to −0.06) | 1.61 (−2.80 to 6.01) | 0.33 (−0.25 to 0.91) |
| Nonoral | 1.36 (0.99 to 1.72) | 0.13 (0.11 to 0.14) | −0.72 (−1.88 to 0.44) | −0.13 (−0.29 to 0.02) |
| NSAID users per 1000 enrollees | ||||
| All | 22.62 (21.94 to 23.30) | −0.03 (−0.06 to −0.01) | 0.82 (−0.67 to 2.30) | 0.06 (−0.13 to 0.24) |
| Oral | 21.96 (21.30 to 22.61) | −0.08 (−0.11 to −0.06) | 1.12 (−0.32 to 2.56) | 0.10 (−0.08 to 0.28) |
| Nonoral | 0.80 (0.66 to 0.95) | 0.06 (0.06 to 0.07) | −0.26 (−0.67 to 0.16) | −0.06 (−0.11 to 0.00) |
| Oral NSAID supply | 25.90 (23.64 to 28.16) | 0.10 (0.02 to 0.19) | 0.21 (−1.66 to 2.08) | −0.09 (−0.40 to 0.22) |
Abbreviation: NSAID, nonsteroidal anti-inflammatory drug.
Figure 1. Trends in the Number of All Nonsteroidal Anti-inflammatory Drug (NSAID) Prescriptions per Month, January 2015 to June 2019
Markers indicate mean values. The vertical dashed line indicates implementation of Florida House Bill 21.
Figure 2. Trends in the Number of Nonsteroidal Anti-inflammatory Drug (NSAID) Prescriptions by Route of Administration, January 2015 to June 2019
Markers indicate mean values. The vertical dashed line indicates implementation of Florida House Bill 21.
Figure 3. Trends in the Prevalence of Nonsteroidal Anti-inflammatory Drug (NSAID) Use per Month Among Plan Enrollees, January 2015 to June 2019
Markers indicate mean values. The vertical dashed line indicates implementation of Florida House Bill 21.
Figure 4. Trends in Nonsteroidal Anti-inflammatory Drug (NSAID) Use per Month Among Plan Enrollees by Route of Administration, January 2015 to June 2019
Markers indicate mean values. The vertical dashed line indicates implementation of Florida House Bill 21.