Prescription Patterns of Adjuvant Pain Medications Following an Opioid Supply Restriction Law: An Interrupted Time Series Analysis.

BACKGROUND: Florida House Bill 21 (HB21) was implemented in July 2018 to limit prescriptions of Schedule II opioids for acute pain patients, but it is unclear whether such restrictions have a collateral influence on the utilization of commonly prescribed adjuvant pain medications. OBJECTIVE: The objective of this study was to assess whether this law was associated with a change in use patterns of gabapentinoids, benzodiazepines, and muscle relaxants. METHODS: We obtained prescription claims for medications dispensed from January 1, 2015, to June 31, 2019, from a health plan serving a large Florida employer. Interrupted time series analyses were conducted to compare pre-HB21 and post-HB21 implementation changes in the mean monthly number of users and prescriptions for gabapentinoids, benzodiazepines, and muscle relaxants. RESULTS: There was a 6% immediate increase (relative risk: 1.06; 95% confidence interval: 1.02, 1.11) in the monthly proportion of gabapentinoid users, and an 11% immediate increase in the monthly proportion of gabapentinoids prescriptions (relative risk: 1.11; 95% confidence interval: 1.04, 1.18) per 1000 patients following law implementation. However, after the law, we observed a significant reduction in trend for the monthly proportion of muscle relaxants and benzodiazepine users. CONCLUSIONS: An increased number of patients and prescriptions were observed for gabapentinoids, while fewer patients received benzodiazepines and muscle relaxants after HB21. In previous studies, opioid prescription restriction laws are shown to reduce opioids, but this work suggests that these laws may also have unintended consequences for the use of adjunctive medications that were not intended to be affected.

Changes in Prescribing by Provider Type Following a State Prescription Opioid Restriction Law.

BACKGROUND: Many states have implemented opioid days' supply restriction policies, leading to reductions in opioid prescribing. Although research within certain provider types exist, no study has evaluated a restriction policy by various provider types. OBJECTIVE: To evaluate changes in opioid utilization following a days' supply restriction policy stratified by provider type: surgery, emergency medicine, primary care, specialty care, and dentistry. DESIGN: Interrupted time series (ITS) PARTICIPANTS: Opioid prescription claims of patients in a private health plan serving a large Florida employer from 1/1/2015 to 3/31/2019. Provider types were determined using the Healthcare Provider Taxonomy Code associated with the national provider identifier (NPI). INTERVENTIONS: Florida's opioid restriction policy implemented on July 1, 2018. MAIN MEASURES: Changes in mean morphine milligram equivalent (MMEs), mean days' supply, and mean number of units dispensed per opioid prescription before and after policy implementation. KEY RESULTS: There were 10,583 opioid initial prescriptions dispensed. Treating providers were classified as surgery (16.4%; n = 1732), emergency care (14.3%; n = 1516), primary care (21.2%; n = 2241), specialty care (11.4%; n = 1207), and dentistry providers (23.7%; n = 2511). Significant reductions in mean days' supply were observed across most provider types ranging from 14% reduction for dentistry providers to 41% reduction for specialty care providers. Significant changes were observed for emergency care and specialty care providers with a 30% (p = 0.001)and 29% (p < 0.001) reduction in mean MME, respectively, and a 27% (p = 0.040) reduction in mean number of units dispensed in emergency care providers, after implementation. Pre-implementation trends in opioid prescribing varied by provider type impacting the effects of the opioid days' supply restriction policy. CONCLUSIONS: Pre-policy opioid prescribing varied by provider type with a differential impact on mean MMEs, mean days' supply, and mean number of units dispensed per prescription following implementation.

Characteristics of Patients Using Different Patient Portal Functions and the Impact on Primary Care Service Utilization and Appointment Adherence: Retrospective Observational Study.

BACKGROUND: Patient portals are now widely available and increasingly adopted by patients and providers. Despite the growing research interest in patient portal adoption, there is a lack of follow-up studies describing the following: whether patients use portals actively; how frequently they use distinct portal functions; and, consequently, what the effects of using them are, the understanding of which is paramount to maximizing the potential of patient portals to enhance care delivery. OBJECTIVE: To investigate the characteristics of primary care patients using different patient portal functions and the impact of various portal usage behaviors on patients' primary care service utilization and appointment adherence. METHODS: A retrospective, observational study using a large dataset of 46,544 primary care patients from University of Florida Health was conducted. Patient portal users were defined as patients who adopted a portal, and adoption was defined as the status that a portal account was opened and kept activated during the study period. Then, users were further classified into different user subgroups based on their portal usage of messaging, laboratory, appointment, and medication functions. The intervention outcomes were the rates of primary care office visits categorized as arrived, telephone encounters, cancellations, and no-shows per quarter as the measures of primary care service utilization and appointment adherence. Generalized linear models with a panel difference-in-differences study design were then developed to estimate the rate ratios between the users and the matched nonusers of the four measurements with an observational window of up to 10 quarters after portal adoption. RESULTS: Interestingly, a high propensity to adopt patient portals does not necessarily imply more frequent use of portals. In particular, the number of active health problems one had was significantly negatively associated with portal adoption (odds ratios [ORs] 0.57-0.86, 95% CIs 0.51-0.94, all P<.001) but was positively associated with portal usage (ORs 1.37-1.76, 95% CIs 1.11-2.22, all P≤.01). The same was true for being enrolled in Medicare for portal adoption (OR 0.47, 95% CI 0.41-0.54, P<.001) and message usage (OR 1.44, 95% CI 1.03-2.03, P=.04). On the impact of portal usage, the effects were time-dependent and specific to the user subgroup. The most salient change was the improvement in appointment adherence, and patients who used messaging and laboratory functions more often exhibited a larger reduction in no-shows compared to other user subgroups. CONCLUSIONS: Patients differ in their portal adoption and usage behaviors, and the portal usage effects are heterogeneous and dynamic. However, there exists a lack of match in the patient portal market where patients who benefit the most from patient portals are not active portal adopters. Our findings suggest that health care delivery planners and administrators should remove the barriers of adoption for the portal beneficiaries; in addition, they should incorporate the impact of portal usage into care coordination and workflow design, ultimately aligning patients' and providers' needs and functionalities to effectively deliver patient-centric care.

On the effect of electronic patient portal on primary care utilization and appointment adherence.

BACKGROUND: The objective of this study was to investigate the impact of patient portal adoption on patients' primary care utilization and appointment adherence. METHODS: We conducted a retrospective observational study using a panel difference-in-differences (DID) framework to investigate the use of primary care services by patients, adjusting for their disease burden and allowing for time-dependent portal effect. A large dataset with 46,544 patients of University of Florida (UF) Health during the study period July 2013 - June 2016 was used. The main outcome measures are disease burden adjusted rates of office visits arrived, no-show, and cancellation to primary care physicians (PCPs) per quarter between patient portal adopters (denoted as users) and non-users. RESULTS: At the time of adoption, the quarterly PCP office visit rate ratio (RR) of patient portal users to non-users was 1.33 (95% CI, 1.27-1.39; p < 0.001). The RRs were between 0.94 to 0.99 up to four quarters after portal adoption (p = 0.749, 0.100, 0.131, and 0.091, respectively), and were significantly less than one at the seventh (RR =0.82; 95% CI, 0.73-0.91; p < 0.001) and the eighth (RR = 0.80; 95% CI, 0.70-0.90; p < 0.001) quarters post adoption. The quarterly no-show rates of the users were significantly smaller (RRs were between 0.60 and 0.83) except for the seventh, eighth and tenth quarters post adoption. In these three quarters, the no-show rates were not significantly changed (p = 0.645, 0.295, and 0.436, respectively). Quarterly cancellation rates were not significantly affected by portal adoption (p > 0.05 for all cases). CONCLUSIONS: Patient portal users' disease burden adjusted PCP office visit rate was significantly reduced in one and a half year and thereafter post portal adoption. PCP appointment no-show rate was also significantly reduced and cancellation rate was not affected, implying improved care engagement of patients.

Assessment of the utilization of real-time prescription benefits for patient cost savings within an outpatient setting.

Background: This study evaluates the impact of Real-Time Prescription Benefits (RTPB), a tool integrated into electronic health records (EHRs), on patient out-of-pocket costs in an academic institution. RTPB provides prescribers with alternative, less expensive medications based on insurance plans. The primary measure was cost-savings, defined as the difference between the out-of-pocket cost of the prescribed medication and its alternative. Methods: A retrospective analysis of prescriptions from outpatient clinics in a university-based health system was conducted between May 2020 and July 2021. Prescriptions were analyzed at the 2nd level of the Anatomical Therapeutic Chemical (ATC) classification system. Costs were standardized to a 30-day supply. Standardized cost and total cost per prescription, and overall savings for the top 20 medication classes at the 2nd ATC level were calculated. The overall impact of RTPB was estimated based on selecting the least expensive alternative suggested by RTPB. Results: The study found that RTPB information was provided for 22% of prescriptions, with suggested alternatives for 1.26%. Among prescriptions with an alternative selected, the standardized average cost saving was $38.83. The study realized $15,416 in patient total cost savings. If the least expensive RTPB-suggested alternative were chosen for all prescriptions, an estimated $276,386 could have been saved. Psychoanaleptic and psycholeptic medications were the most prescribed with an alternative, with most savings in specialty drugs like anthelmintic and immunostimulant medications. Conclusion: The study highlights the importance of RTPB in reducing patient costs. It reports patient cost-savings with RTPB in prescribing decisions. Future research could explore the impact of RTPB on medication adherence using pharmacy claims data.

Chronic Opioid Therapy Utilization Following an Acute Pain Prescription Supply Restriction Law: An Interrupted Time Series Analysis.

BACKGROUND: Florida House Bill 21 (HB21) was implemented in July 2018 to limit Schedule II opioids prescriptions for patients with acute pain to a 3-day supply. Little is known about the potential unintended effects that such opioid restriction policies may have on chronic pain patients, who are exempt from the law. OBJECTIVE: We aimed to evaluate the effect of HB21 on opioid utilization measures among a cohort of chronic opioid therapy (COT) patients. STUDY DESIGN: A quasi-experimental design with interrupted time series analyses. SETTING: Pharmacy claims from January 1, 2015 to June 31, 2019 from a large employer-based health plan in Florida. METHODS: COT patients were those who received a ≥ 70 days' supply of opioids in the prior 90 days, representing 15,310 patients. Interrupted time series analyses were conducted to compare the following monthly measures among COT patients before and after HB21 implementation: 1) number of COT patients, 2) daily Morphine Milligram Equivalents [MMEs], 3) days' supply of prescriptions. RESULTS: There was a significant 25% reduction in the trend (pre-HB21 RR: 0.95, 95% CI: 0.93, 0.96 versus post-HB21 RR: 0.70, 95% CI: 0.65, 0.76) and an 8% immediate decrease (RR: 0.92, 95% CI: 0.88, 0.97) in the monthly prevalence of COT patients after HB21 implementation. However, no significant change was observed in trends for monthly number of days supplied per prescription, monthly MMEs per COT patient-day, or total MMEs per prescription. LIMITATIONS: Our study used data from employer-based private health insurance and did not include a longer post-policy period to adjust for implementation lag. CONCLUSION: Fewer patients received COT after HB21; however, patients who continued to receive COT experienced no significant changes in their regimen. The study did not assess whether COT patients were appropriately tapered or if therapeutic alternatives were initiated for new chronic pain patients.

The Adaptation of a Clinic-Adjacent Parking Garage for Drive-In COVID-19 Vaccination.

PURPOSE: The distribution and vaccination of COVID-19 vaccines to billions of people worldwide will likely be one of the biggest public health undertakings in history. There has been a large focus on identifying processes to safely, efficiently, and effectively vaccinate large populations. We aimed to describe the development and operationalization of a drive-in COVID-19 vaccine site in a parking garage adjacent to outpatient clinics at University of Florida (UF) Health Physicians and how it was informed by the roll-out of SARS-CoV-2 testing and administration of respiratory vaccinations. DESIGN/METHODOLOGY/APPROACH: A technical description and analysis of a drive-in COVID-19 vaccine site. FINDINGS: We incrementally increased the number of vaccines performed per day from 300 in the first 2 weeks to 700 an additional 2 weeks later. By the end of January, we completed nearly 14 000 vaccinations. At this capacity, we estimate the site could performed 5000 vaccinations per week. PRACTICAL IMPLICATIONS: This manuscript provides step-by-step guidance how to develop, operationalize, and implement a sustainable drive-in COVID-19 vaccination site. ORIGINALITY/VALUE: To our knowledge, this is the first description of a drive-in approach to COVID-19 vaccination. Our findings can help inform other health entities as they develop or expand vaccination efforts that may serve as a template for other sites to adapt.

Factors in medical student beliefs about electronic health record use.

Healthcare providers' ongoing investment in electronic health records (EHRs) necessitates an understanding of physicians' expectations about using EHRs. Such understanding may aid educators and administrators when utilizing scarce resources during EHR training and implementation activities. This study aimed to link individual medical student characteristics to their perceptions of EHRs' ease of use and usefulness. This study employed a cross-sectional survey of 126 third-year medical students at a large southeastern university. Using a questionnaire designed for this study and containing previously validated items, the study team measured and related students' expectations about EHR ease of use and usefulness to their computer self-efficacy, openness to change, personality traits, and demographic characteristics. On a seven-point scale, men reported, on average, ease-of-use scores that were 0.71 higher than women's (p < .001). Also, increased computer self-efficacy related to higher expectations of EHR ease of use (p < .01) and usefulness (p < .05). Openness-to-change scores were also associated with higher expectations of EHR ease of use (p < .01) and usefulness (p < .001). Finally, a more conscientious personality was positively associated with EHR ease of use (p < .01). Our findings suggest that medical educators and administrators may consider targeting EHR management strategies on the basis of individual differences. Enhanced training and support interventions may be helpful to women or to clinicians with lower computer self-efficacy, lower openness to change, or less conscientious personalities. Also, current and future physicians who rate higher in terms of self-efficacy, openness to change, or conscientiousness may be useful as champions of EHR use among their peers.

Grant award program partnerships with your professional liability insurance carrier: an innovative approach to loss prevention and improved patient safety.

The financial success of a malpractice insurance program is directly influenced by how effectively the covered providers respond to risk. This article describes a University Self-Insurance Program partnership to provide small grants to providers who have the expertise and passion for a specific risk reduction activity that is cost effective and measurable and has a high probability of improving patient care and reducing claims or lawsuits. Implementation of this small grant concept can be tailored to become operational in virtually any setting from an independent medical practice to a multistate healthcare system.

An academic-community cardiovascular service line affiliation: design, implementation, and performance.

Both affiliation with an academic medical center and implementation of service line management may be effective management strategies for community health care organizations. The authors describe the design, implementation, and performance of a unique combination of these two distinct strategies for cardiovascular program development in the affiliation of the University of Florida Health Science Center with Health First, a regional community-based integrated delivery system.