Impact of Electronic Prescribing of Controlled Substances on Opioid Prescribing: Evidence From I-STOP Program in New York

The I-STOP Program and Narcotic Prescriptions Following Facial Reconstructive Plastic Surgeries

OBJECTIVES

To explore the effect of e-prescribing requirements on narcotic dispersion in New York State. Slicer Dicer was used to identify patient records based on CPT codes.

METHODS

We investigated the influence of New York State e-prescribing requirements on narcotic dispersion following five common facial plastics procedures. Slicer Dicer was used to identify patient records based on CPT codes.We then looked at narcotic prescription rates following those surgeries between March 2014 and March 2018 at an academic institution.

RESULTS

Overall, between March 2014 and March 2018, 76.1% of the sample received a narcotic prescription following a facial reconstructive plastic surgery. Patients who underwent rhinoplasty were most likely to receive a prescription for postoperative narcotics. The implementation of ISTOP, CPT code, use of non-narcotic adjuvant, and insurance type were each significantly associated with prescription of postoperative narcotics. Surgery time and age in years were significantly associated with prescription of postoperative narcotics. Ultimately, when controlling for the aforementioned clinical and sociodemographic variables included in the study, those who underwent surgery after the implementation of ISTOP were 42.8% less likely to receive a prescription for postoperative narcotics, aOR = 0.572, 95% CI 0.356, 0.919, p = 0.021.

CONCLUSIONS

New York State's ISTOP program has succeeded in reducing the number of postoperative narcotic prescriptions following facial plastic reconstructive surgeries at this academic institution. However, opioid medications can still be utilized for postoperative analgesia when clinically appropriate.

LEVEL OF EVIDENCE

3 Laryngoscope, 134:1208-1213, 2024.

Public Health Informatics and the Perioperative Physician: Looking to the Future

The role of informatics in public health has increased over the past few decades, and the coronavirus disease 2019 (COVID-19) pandemic has underscored the critical importance of aggregated, multicenter, high-quality, near-real-time data to inform decision-making by physicians, hospital systems, and governments. Given the impact of the pandemic on perioperative and critical care services (eg, elective procedure delays; information sharing related to interventions in critically ill patients; regional bed-management under crisis conditions), anesthesiologists must recognize and advocate for improved informatic frameworks in their local environments. Most anesthesiologists receive little formal training in public health informatics (PHI) during clinical residency or through continuing medical education. The COVID-19 pandemic demonstrated that this knowledge gap represents a missed opportunity for our specialty to participate in informatics-related, public health-oriented clinical care and policy decision-making. This article briefly outlines the background of PHI, its relevance to perioperative care, and conceives intersections with PHI that could evolve over the next quarter century.

Impact of state mandates on electronic prescribing of acute opioid prescriptions for the treatment of pain in Kansas and Colorado

BACKGROUND

Government and health care entities are seeking solutions to optimize safe opioid prescribing practices. Electronic prescribing of controlled substance (EPCS) state mandates are becoming common, but lack thorough evaluation.

OBJECTIVE

This study aimed to evaluate whether EPCS state mandates affect opioid prescribing patterns for acute pain treatment.

METHODS

This retrospective study was designed to assess prescribing patterns via percent change for quantity, day supply, and prevalence of prescribing method utilized for opioid prescriptions 3 months pre- and post-EPCS mandate. Prescription data are extracted from two regional divisions of a large community-based pharmacy chain between April 1, 2021 to October 1, 2021. Relationships of patient geographical locations and prescribing methods were assessed. Likewise, the relationship of opioids prescribed between insurance types were evaluated. Data was evaluated utilizing Chi-Square and Mann-Whitney U tests, with an a-priori alpha of 0.05.

RESULTS

There was an increase before to after state mandate of quantity and day supply (0.8% and 1.3% [P = 0.02; P < 0.001], respectively). There were significant decreases in total daily dose and daily morphine milligram equivalent (2.0% and 1.9% [P < 001; P = 0.254], respectively). A 16.3% increase was seen in electronic prescribing before to after state mandate for prevalence of electronic prescribing versus other prescribing methods.

CONCLUSION

There is a correlation between EPCS and prescribing patterns for acute pain treatment with opioids. The use of electronic prescribing increased after state mandate. By promoting the use of electronic prescribing, the benefit of awareness and caution of opioid use draws attention to prescribers.

Real-World Observational Evaluation of Common Interventions to Reduce Emergency Department Prescribing of Opioid Medications

BACKGROUND

Prior work on opioid prescribing has examined dosing defaults, interruptive alerts, or "harder" stops such as electronic prescribing of controlled substances (EPCS), which has become increasingly required by state policy. Given that real-world opioid stewardship policies are concurrent and overlapping, the authors examined the effect of such policies on emergency department (ED) opioid prescriptions.

METHODS

The researchers performed observational analysis of all ED visits discharged between December 17, 2016, and December 31, 2019, across seven EDs of a hospital system. Four interventions were examined in chronological order, with each successive intervention added on top of all previous interventions: 12-pill prescription default, EPCS, electronic health record (EHR) pop-up alert, and 8-pill prescription default. The primary outcome was opioid prescribing, which was described as number of opioid prescriptions per 100 discharged ED visits and modeled as a binary outcome for each visit. Secondary outcomes included prescription morphine milligram equivalents (MME) and non-opioid analgesia prescriptions.

RESULTS

A total of 775,692 ED visits were included in the study. Compared to the preintervention period, cumulative reductions in opioid prescribing were seen with incremental interventions, including after adding a 12-pill default (odds ratio [OR] 0.88, 95% confidence interval [CI] 0.82-0.94), after adding EPCS (OR 0.7, 95% CI 0.63-0.77), after adding pop-up alerts (OR 0.67, 95% CI 0.63-0.71), and after adding an 8-pill default (OR 0.61, 95% CI 0.58-0.65).

CONCLUSION

EHR-implemented solutions such as EPCS, pop-up alerts, and pill defaults had varying but significant effects on reducing ED opioid prescribing. Policy makers and quality improvement leaders might achieve sustainable improvements in opioid stewardship while balancing clinician alert fatigue through policy efforts promoting implementation of EPCS and default dispense quantities.

Trends in Prescribing Opioids, Benzodiazepines, and Both Among Adults with Alcohol Use Disorder in New York State

BACKGROUND

Alcohol use disorder (AUD) is a highly prevalent public health problem that contributes to opioid- and benzodiazepine-related morbidity and mortality. Even though co-utilization of these substances is particularly harmful, data are sparse on opioid or benzodiazepine prescribing patterns among individuals with AUD.

OBJECTIVE

To estimate temporal trends and disparities in opioid, benzodiazepine, and opioid/benzodiazepine co-prescribing among individuals with AUD in New York State (NYS).

DESIGN/PARTICIPANTS

Serial cross-sectional study analyzing merged data from the NYS Office of Addiction Services and Supports (OASAS) and the NYS Department of Health Medicaid Data Warehouse. Subjects with a first admission to an OASAS treatment program from 2005-2018 and a primary AUD were included. A total of 148,328 subjects were identified.

MEASURES

Annual prescribing rates of opioids, benzodiazepines, or both between the pre- (2005-2012) and post- (2013-2018) Internet System for Tracking Over-Prescribing (I-STOP) periods. I-STOP is a prescription monitoring program implemented in NYS in August 2013. Analyses were stratified based on sociodemographic factors (age, sex, race/ethnicity, and location).

RESULTS

Opioid prescribing rates decreased between the pre- and post-I-STOP periods from 25.1% (95% CI, 24.9-25.3%) to 21.3% (95% CI, 21.2-21.4; P <.001), while benzodiazepine (pre: 9.96% [95% CI, 9.83-10.1%], post: 9.92% [95% CI, 9.83-10.0%]; P =.631) and opioid/benzodiazepine prescribing rates remained unchanged (pre: 3.01% vs. post: 3.05%; P =.403). After I-STOP implementation, there was a significant decreasing trend in opioid (change, -1.85% per year, P <.0001), benzodiazepine (-0.208% per year, P =.0184), and opioid/benzodiazepine prescribing (-0.267% per year, P <.0001). Opioid, benzodiazepine, and co-prescription rates were higher in females, White non-Hispanics, and rural regions.

CONCLUSIONS

Among those with AUD, opioid prescribing decreased following NYS I-STOP program implementation. While both benzodiazepine and opioid/benzodiazepine co-prescribing rates remained high, a decreasing trend was evident after program implementation. Continuing high rates of opioid and benzodiazepine prescribing necessitate the development of innovative approaches to improve the quality of care.