An Analysis of State-Level Policies and Opioid Overdose Deaths

The Effect of Naloxone Access Laws on Fatal Synthetic Opioid Overdose Fatality Rates

BACKGROUND

Increases in fatal synthetic opioid overdoses over the past 8 years have left states scrambling for effective means to curtail these deaths. Many states have implemented policies and increased service capacity to address this rise. To better understand the effectiveness of policy level interventions we estimated the impact of the presence of naloxone access laws (NALs) on synthetic opioid fatalities at the state level.

METHODS

A multivariable longitudinal linear mixed model with a random intercept was used to determine the relationship between the presence of NALs and synthetic opioid overdose death rates, while controlling for, Good Samaritan laws, opioid prescription rate, and capacity for medication for opioid use disorder (MOUD), utilizing a quadratic time trajectory. Data for the study was collected from the National Vital Statistics System using multiple cause-of-death mortality files linked to drug overdose deaths.

RESULTS

The presence of an NAL had a significant (univariate P-value = .013; multivariable p-value = .010) negative relationship to fentanyl overdose death rates. Other significant controlling variables were quadratic time (univariate and multivariable P-value < .001), MOUD (univariate P-value < .001; multivariable P-value = .009), and Good Samaritan Law (univariate P-value = .033; multivariable P-value = .018).

CONCLUSION

Naloxone standing orders are strongly related to fatal synthetic opioid overdose reduction. The effect of NALs, MOUD treatment capacity, and Good Samaritan laws all significantly influenced the synthetic opioid overdose death rate. The use of naloxone should be a central part of any state strategy to reduce overdose death rate.

Psychometric Evaluation of the Addiction Self-Efficacy Scale

Background and Purpose: To psychometrically evaluate a new investigator-developed 14-item Addiction Self-Efficacy Scale (ASES). Methods: One hundred seventy-one subjects (114 male and 57 female) were recruited from an in-house rehabilitation program. Subjects were given the 14-item ASES between days 25 and 30 of the treatment program. Results: The item means ranged from 7.19 to 9.34. There was a ceiling effect on all 14 items. The ASES was found to be multidimensional with two factors accounting for 64% of the total variance explained. Reliability of subscale 1 with nine items was .92 whereas, subscale 2 with five items had a reliability of .86. Conclusions: The ASES has evidence of reliability, face validity, and content validity.

The impact of state-mandated opioid prescribing restrictions on prescribing patterns surrounding reverse total shoulder arthroplasty

Background

Orthopedic surgeons are the third-highest prescribers of opioid medications, and the recent opioid crisis has placed more scrutiny on physicians and their prescribing habits. House Bill 21, a new law limiting the prescription of opioid medications, was signed in Florida on July 1, 2018 and similar laws have been passed in a number of other states as well. The purpose of this study was to understand the effect of new legal mandates on opioid prescribing patterns and dependence rates for patients undergoing reverse shoulder arthroplasty.

Methods

A retrospective review of 143 patients who underwent primary reverse shoulder arthroplasty from 2017 to 2019 was performed. There were 87 patients in the pre-legislation group (group 1), compared to 56 in the post-legislation group (group 2). Demographics data and opioid prescriptions provided 90 days before and after surgery were obtained using the physician drug monitoring database. Descriptive statistics and Student's t-tests were used to examine differences.

Results

Preoperatively, both groups received similar numbers of pills and total morphine equivalents (TMEs; group 1: 47.3 pills and 59.9 TMEs, group 2: 30.9 pills and 24.8 TMEs) (P = .292, P = .081). Group 1 had 88.5% of patients fill an opioid prescription postoperatively, compared to 50.9% of group 2 (P < .001). Postoperatively, initial opioid prescriptions were higher in average pills for group 1 (26 pills with an average of 375.6 TMEs) compared to group 2 (18 pills with an average of 199.6 TMEs) (P < .001, P = .122). For the entire postoperative course, patients in group 1 filled prescriptions for an average of 1740.7 TMEs and 84 pills, compared to 461.9 TMEs and 32 pills in group 2 (P = .035, P < .001). In the cohort, 17.8% of group 2 had multiple recorded opioid prescriptions, compared to 70.1% of group 1. There were also significant differences observed in postoperative dependence rates, with 23.0% in group 1 compared to 12.5% in group 2 (P = .043).

Conclusions

State-mandated opioid prescribing restrictions have been successful in decreasing opioid prescribing and dependence rates for orthopedic shoulder patients. Further efforts are required to reduce preoperative prescriptions involving chronic shoulder pathology as current legislature has not had an impact on this. Legislative changes may be an effective way to help reduce abuse and opioid dependence in shoulder arthroplasty patients; however, further research is needed.

Assessing the impact of Indiana legislation on opioid-based doctor shopping among Medicaid-enrolled pregnant women: a regression analysis

Background

States have passed various legislative acts in an attempt to reduce opioid prescribing and corresponding doctor shopping, including prescription drug monitoring programs. This study seeks to determine the association between two state-based interventions enacted in Indiana and the level of doctor shopping among Medicaid-enrolled pregnant women.

Methods

Indiana Medicaid claims data over the period of January 2014 to March 2019 were used in a regression model to determine the longitudinal change in percentage of pregnant women engaged in doctor shopping based on passage of Indiana Administrative Code Title 884 in 2014 and Public Law 194 in 2018. The primary reasons for prescribing were also identified.

Results

There were 37,451 women that had both pregnancy and prescription opioid claims over the time horizon. Of these, 2130 women met the criteria for doctor shopping. Doctor shopping continued to increase over the time between the passage of the two interventions but decreased after passage of Public Law 194.

Conclusion

The decrease in doctor shopping among Medicaid-enrolled pregnant women after passage of Public Law 194 points to the importance of addressing this issue across a broad set of healthcare professionals including nurse practitioners and physician assistants. It is also possible that the potential punitive component in the Law for non-compliance played a role.