Opioid therapy trajectories of patients with chronic non-cancer pain over 1 year of follow-up after initiation of short-acting opioid formulations

OBJECTIVE

This study compared opioid utilization trajectories of persons initiating tramadol, short-acting hydrocodone, or short-acting oxycodone, and it characterized opioid dose trajectories and type of opioid in persistent opioid therapy subsamples.

METHODS

A retrospective cohort study of adults with chronic non-cancer pain who were initiating opioid therapy was conducted with the IQVIA PharMetrics® Plus for Academics data (2008-2018). Continuous enrollment was required for 6 months before ("baseline") and 12 months after ("follow-up") the first opioid prescription ("index date"). Opioid therapy measures were assessed every 7 days over follow-up. Group-based trajectory modeling (GBTM) was used to identify trajectories for any opioid and total morphine milligram equivalent measures, and longitudinal latent class analysis was used for opioid therapy type.

RESULTS

A total of 40 276 tramadol, 141 023 hydrocodone, and 45 221 oxycodone initiators were included. GBTM on any opioid therapy identified 3 latent trajectories: early discontinuers (tramadol 39.0%, hydrocodone 54.1%, oxycodone 61.4%), late discontinuers (tramadol 37.9%, hydrocodone 39.4%, oxycodone 33.3%), and persistent therapy (tramadol 6.7%, hydrocodone 6.5%, oxycodone 5.3%). An additional fourth trajectory, intermittent therapy (tramadol 16.4%), was identified for tramadol initiators. Of those on persistent therapy, 2687 individuals were on persistent therapy with tramadol, 9169 with hydrocodone, and 2377 with oxycodone. GBTM on opioid dose resulted in 6 similar trajectory groups in each persistent therapy group. Longitudinal latent class analysis on opioid therapy type identified 6 latent classes for tramadol and oxycodone and 7 classes for hydrocodone.

CONCLUSION

Opioid therapy patterns meaningfully differed by the initial opioid prescribed, notably the presence of intermittent therapy among tramadol initiators and higher morphine milligram equivalents and prescribing of long-acting opioids among oxycodone initiators.

The association between suspected long-COVID and stimulant prescribing in the United States

OBJECTIVES

This study sought to determine the association between suspected long-COVID and receipt of a stimulant prescription among persons diagnosed with COVID-19 and to describe clinical and demographic factors associated with receiving a stimulant prescription.

METHODS

US patients 18 and older who had a COVID-19 diagnosis or a positive COVID-19 PCR test from April 1st, 2020 through December 21st, 2022 recorded in a national electronic health record data set obtained from TriNetX were assessed. Comparison subjects were propensity score matched on baseline covariates to those with a symptom of or diagnosis of long-COVID. A Cox Proportional Hazards models was used to estimate the influence of long-COVID on stimulant prescription receipt.

RESULTS

Those with long-COVID (n = 65,329) were twice as likely to be prescribed a stimulant as persons with only acute COVID-19 (n = 189,438, HR=2.162; 1.929-2.423). Among persons with long-COVID, persons with new onset ADHD (HR=7.196; 5.749- 9.007), opioid-related disorders (HR=2.140; 1.264-3.621) and mood disorders (HR=1.649; 1.336-2.035) were more likely to be prescribed a stimulant.

CONCLUSION

Further research describing the risks associated with increased stimulant use among persons with long-COVID is warranted.

Real-World Survival of First-Line Immune Checkpoint Inhibitor Treatment Versus Chemotherapy in Older Patients With Non-Small-Cell Lung Cancer and Synchronous Brain Metastases

PURPOSE

This study assessed real-world survival among older patients with non-small-cell lung cancer (NSCLC) and brain metastases (BMs) at diagnosis (synchronous BM [SBM]) receiving first-line immune checkpoint inhibitors (ICIs) compared with chemotherapy only.

METHODS

Patients with NSCLC and SBM age 65 years or older at diagnosis from 2010 to 2019 SEER-Medicare database and received US Food and Drug Administration-approved ICIs (pembrolizumab/nivolumab/ipilimumab/atezolizumab/durvalumab/cemiplimab) and/or chemotherapy (platinum-based doublets/taxane/pemetrexed/gemcitabine) as first-line systemic treatment were included, excluding those with no cranial radiation or ever being treated with targeted therapies. Overall survival time was from the start of systemic treatment (ICI/chemotherapy) to death, censored at disenrollment from Medicare part A/B, enrollment in part C, or end of the study period (December 31, 2019). Kaplan-Meier (KM) survival curves were compared between treatment groups using the log-rank test. Multivariable Cox proportional hazards (CPH) model was used to estimate hazard ratio (HR) between groups, adjusting for patients' sociodemographic and clinical characteristics.

RESULTS

The study included 1,481 patients (1,303 chemotherapy and 178 ICI). The median (range) age was 71 (65-91) years. First-line ICI patients were more likely to be older, live in urban areas, and less likely to be non-White than the chemotherapy group. KM estimates showed that survival curves initially overlapped but diverged approximately 6 months after initiating first-line systemic treatment (median survival [95% CI]: ICI, 190 [131 to 303] days versus chemotherapy, 189 [177 to 201] days), with ICI showing a better survival than the chemotherapy group (log-rank test P < .0001). First-line ICI was associated with a lower risk of death compared with chemotherapy in adjusted CPH model (HR [95% CI], 0.67 [0.55 to 0.80]; P < .0001).

CONCLUSION

Among older patients with NSCLC and SBM, first-line ICI use was associated with improved survival occurring 6 months after treatment initiation compared with chemotherapy only.

Adherence to Extended Venous Thromboembolism Prophylaxis and Outcomes After Complex Gastrointestinal Oncologic Surgery

BACKGROUND

Clinical guidelines recommend extended venous thromboembolism (VTE) prophylaxis for cancer patients after major gastrointestinal (GI) operations. However, adherence to the guidelines has been low, and the clinical outcomes not well defined.

METHODS

This study retrospectively analyzed a random 10 % sample of the 2009-2022 IQVIA LifeLink PharMetrics Plus database, an administrative claims database representative of the commercially insured population of the United States. The study selected cancer patients undergoing major pancreas, liver, gastric, or esophageal surgery. The primary outcomes were 90-day post-discharge VTE and bleeding.

RESULTS

The study identified 2296 unique eligible operations. During the index hospitalization, 52 patients (2.2 %) experienced VTE, 74 patients (3.2 %) had postoperative bleeding, and 140 patients (6.1 %) had a hospital stay of at least 28 days. The remaining 2069 operations comprised 833 pancreatectomies, 664 hepatectomies, 295 gastrectomies, and 277 esophagectomies. The median age of the patients was 49 years, and 44 % were female. Extended VTE prophylaxis prescriptions were filled for 176 patients (10.4 % for pancreas, 8.1 % for liver, 5.8 % for gastric cancer, and 6.5 % for esophageal cancer), and the most used agent was enoxaparin (96 % of the patients). After discharge, VTE occurred for 5.2 % and bleeding for 5.2 % of the patients. The findings showed no association of extended VTE prophylaxis with post-discharge VTE (odds ratio [OR], 1.54; 95 % confidence interval [CI], 0.81-2.96) or bleeding (OR, 0.72, 95 % CI, 0.32-1.61).

CONCLUSIONS

The majority of the cancer patients undergoing complex GI surgery did not receive extended VTE prophylaxis according to the current guidelines, and their VTE rate was not higher than for the patients who received it.

Comparative Study of Opioid Initiation With Tramadol, Short-acting Hydrocodone, or Short-acting Oxycodone on Opioid-related Adverse Outcomes Among Chronic Noncancer Pain Patients

OBJECTIVE

To compare the safety profiles of low and high-dose tramadol, short-acting hydrocodone, and short-acting oxycodone therapies among chronic noncancer pain individuals.

MATERIALS AND METHODS

A retrospective cohort study of individuals with back/neck pain/osteoarthritis with an initial opioid prescription for tramadol, hydrocodone, or oxycodone was conducted using IQVIA PharMetrics Plus claims for Academics database (2006 to 2020). Two cohorts were created for separately studying opioid-related adverse events (overdoses, accidents, self-inflicted injuries, and violence-related injuries) and substance use disorders (opioid and nonopioid). Patients were followed from the index date until an outcome event, end of enrollment, or data end. Time-varying exposure groups were constructed and Cox regression models were estimated.

RESULTS

A total of 1,062,167 (tramadol [16.5%], hydrocodone [61.1%], and oxycodone [22.4%]) and 986,809 (tramadol [16.5%], hydrocodone [61.3%], and oxycodone [22.2%]) individuals were in the adverse event and substance use disorder cohorts. All high-dose groups had elevated risk of nearly all outcomes, compared with low-dose hydrocodone. Compared with low-dose hydrocodone, low-dose oxycodone was associated with a higher risk of opioid overdose (hazard ratio: 1.79 [1.37 to 2.33]). No difference in risk was observed between low-dose tramadol and low-dose hydrocodone (hazard ratio: 0.85 [0.64 to 1.13]). Low-dose oxycodone had higher risks of an opioid use disorder, and low-dose tramadol had a lower risk of accidents, self-inflicted injuries, and opioid use disorder compared with low-dose hydrocodone.

DISCUSSION

Low-dose oxycodone had a higher risk of opioid-related adverse outcomes compared with low-dose tramadol and hydrocodone. This should be interpreted in conjunction with the benefits of pain control and functioning associated with oxycodone use in future research.

Evaluating the temporal association between the recency of prescribed controlled substance acquisition and fatal and non-fatal opioid overdose

BACKGROUND

Previous studies have explored psychosocial effects as possible triggers of opioid overdose (OOD). However, little is known about the temporal association between OOD and prescribed controlled substance (CS) acquisition.

OBJECTIVE

The objective of this study was to evaluate the temporal relationship between OOD and acquiring prescribed CSs prior to OOD.

METHODS

This study is an exploratory descriptive analysis using Arkansas Prescription Drug Monitoring Program (AR-PDMP) data linked to death certificate and statewide inpatient discharge records. All persons with ≥1 AR-PDMP prescription fill(s) between 1 January 2014 and 31 December 2017 were included (n = 1,946,686). For persons that experienced OOD and had ≥1 PDMP record(s), the difference in days between OOD and the most recent AR-PDMP prescription filled prior to an OOD was recorded. To account for censoring, a sensitivity analysis was conducted restricting the study group to "New AR-PDMP Entrants" that had at least a 180-day gap between consecutive AR-PDMP fill dates.

RESULTS

28,998,307 AR-PDMP records were analyzed for 1,946,686 individuals. 7195 persons experienced 9223 OODs and 414 (4.49%) of those were fatal. Of these, 6236 experienced ≥1 OOD and acquired prescribed CSs prior to or on the day of the first OOD. Of those that experienced ≥1 OOD(s), 2201 (30.59%) had an AR-PDMP record in the 0- to 5-day period prior to their overdose and 497 (6.91%) had an AR-PDMP record the day prior to their overdose. Among New AR-PDMP Entrants that experienced ≥1 OOD(s), 408 (27.38%) had an AR-PDMP record in the 0- to 5-day period prior to their overdose.

CONCLUSION

Though the vast majority of persons accessing CSs in Arkansas did not experience an OOD, a sizable proportion of persons that experience an OOD(s) obtained prescribed CSs immediately prior.

Concordance of opioid exposure in all-payer claims databases with prescription drug monitoring program database using Arkansas as a case example

OBJECTIVE

To assess the concordance between and benefit of adding prescription drug monitoring program (PDMP) data to all-payer claims database (APCD) data for identifying and classifying opioid exposure among insured individuals.

DATA SOURCES AND STUDY SETTING

Arkansas APCD and PDMP.

STUDY DESIGN

Enrollees in APCD were classified as (1) true positives: if they received opioids in both databases, (2) false positives: if they only received opioids in APCD, (3) true negatives: if they had no opioid exposure in both databases, (4) false negatives: if they only received opioids in the PDMP database. Specificity, sensitivity, negative, and positive predictive values were calculated using PDMP as the "gold standard" database source. Subjects were also categorized as those who received any opioid, chronic opioid, high-dose opioid, or high-risk opioid therapies.

DATA COLLECTION/EXTRACTION METHODS

Arkansas residents continuously enrolled with pharmacy coverage in 2016 were included. APCD and PDMP were linked using an encrypted enrollee identifier, gender, and year of birth.

PRINCIPAL FINDINGS

The degree of concordance in opioid exposure between the two databases among 1,411,565 enrollees was high (sensitivity = 92.67%, specificity = 96.13%, positive predictive value = 91.60%, negative predictive value = 96.65%). Enrollees classified as having any opioid (APCD: 31.64% vs. PDMP: 31.26% vs. APCD+PDMP: 33.93%), chronic opioid (APCD: 7.81% vs. PDMP: 7.54% vs. APCD+PDMP: 8.24%), high-dose opioid (APCD: 10.60% vs. PDMP: 9.62% vs. APCD+PDMP: 11.33%), or high-risk opioid (APCD: 5.28% vs. PDMP: 5.33% vs. APCD+PDMP: 6.20%) therapies, were similar using only APCD versus PDMP versus the combined APCD and PDMP data sources.

CONCLUSIONS

Claims data sources, such as APCDs, are fairly accurate in identifying opioid exposure and the level of opioid exposure among persons with continuous pharmacy coverage.

Development of a potential opioid misuse measure from administrative dispensing data and contrasting opioid misuse among individuals on long-term tramadol, long-term short-acting hydrocodone or long-term short-acting oxycodone therapy in Arkansas

OBJECTIVE

This study sought to: (1) construct and validate a composite potential opioid misuse score; and (2) compare potential opioid misuse among individuals prescribed long-term therapy on tramadol, short-acting hydrocodone or short-acting oxycodone.

METHODS

A retrospective cohort study was conducted using Arkansas All-Payer Claims Database (APCD; 2013-2018) linked to Arkansas Prescription Drug Monitoring Program (PDMP; 2014-2017) and state death certificate data (2013-2018). The study subjects were ambulatory, cancer-free adults with incident long-term therapy on tramadol, short-acting hydrocodone or short-acting oxycodone. The number of opioid prescribers/pharmacies, cash payment for opioid prescriptions, overlapping prescribers/pharmacies and a composite misuse score (derived from opioid prescribers/pharmacies and cash payment) were assessed in two 180 day windows as potential measures of misuse. The composite score was developed based on associations observed with opioid overdose and opioid-related injuries.

RESULTS

A total of 17,816 (tramadol), 23,660 (hydrocodone) and 4799 (oxycodone) persons were included. The composite score had modest discrimination for overdose (c-index = 0.65). In the first 180 day period, the average composite misuse scores were 1.28 (tramadol), 1.93 (hydrocodone) and 2.18 (oxycodone). Compared to long-term hydrocodone, long-term tramadol had lower misuse (IRR [95% CI]: 0.75 [0.73-0.76]), and long-term oxycodone had higher misuse (1.09 [1.07-1.11]) in adjusted analyses. Qualitatively similar associations were observed for nearly all individual component measures of misuse.

CONCLUSION

A composite measure of potential opioid misuse had modest levels of discrimination in detecting overdose. In comparison to long-term hydrocodone therapy, long-term oxycodone had higher and tramadol had lower risk of potential opioid misuse.

Association between opioid therapy trajectories and potential opioid-related adverse health events

PURPOSE

We identified associations between membership in seven group-based trajectories based on supply of filled opioid prescriptions and potential opioid-related adverse health events over a 720-day window.

METHODS

We identified two veteran cohorts with chronic non-cancer pain who initiated treatment with long-term opioid therapy between 2008 and 2015, excluding those with prior substance use disorder (n = 373 941) or non-SUD, opioid-related adverse outcome (n = 405 631) diagnoses. Outcomes of interest included opioid use disorder, non-opioid drug use disorder, and alcohol use disorder for the first cohort; or accidents resulting in wounds or injuries, self-inflicted injuries, opioid-related accidents and overdoses, alcohol and non-opioid drug-related accidents and overdoses, and violence-related injuries for the second cohort. Using a cross-sectional design, Veterans were followed until the specific outcome of interest was diagnosed, they died, the study ended, or they were lost to follow up. Accelerated failure time models were estimated for each outcome.

RESULTS

Membership in persistent moderate days covered and persistent modest days covered trajectories was associated with decreased risk of opioid use disorder (Moderate: θ = 0.59, 95%CI:0.54, 0.64; Modest: θ = 0.54, 95%CI:0.50, 0.59) and opioid overdose (Moderate: θ = 0.67,95%CI: 0.57, 0.79; Modest: θ = 0.72, 95%CI:0.61, 0.85) versus higher-utilizing persistent users. Rapid discontinuation was associated with decreased risk of opioid use disorder (θ = 0.86, 95% CI:0.77, 0.95) and opioid overdose (θ = 0.54, 95%CI:0.41, 0.71), but increased risk of alcohol use disorder (θ = 1.07, 95%CI:1.00, 1.15) and other substance use disorders. Delayed discontinuation or delayed reduction was associated with increased risk for most opioid related adverse health events.

CONCLUSION

Persistent use trajectories with low levels of opioid utilization were associated with lower risks of potential opioid-related adverse health events.

Associations Between Early Chiropractic Care and Physical Therapy on Subsequent Opioid Use Among Persons With Low Back Pain in Arkansas

Objective

The objective of this study was to estimate the association between early use of physical therapy (PT) or chiropractic care and incident opioid use and long-term opioid use in individuals with a low back pain (LBP) diagnosis.

Methods

A retrospective cohort study was conducted using data from Arkansas All Payers' Claims Database. Adults with incident LBP diagnosed in primary care or emergency departments between July 1, 2013, and June 30, 2017, were identified. Participants were required to be opioid naïve in the 6-month baseline period and without cancer, cauda equina syndrome, osteomyelitis, lumbar fracture, and paraplegia/quadriplegia in the entire study period. PT and chiropractic treatment were documented over the ensuing 30 days starting on the date of LBP. Any opioid use and long-term opioid use (LTOU) in 1-year follow-up were assessed. Multivariable logistic regressions controlling for covariates were estimated.

Results

A total of 40 929 individuals were included in the final sample, with an average age of 41 years and 65% being women. Only 5% and 6% received PT and chiropractic service, respectively, within the first 30 days. Sixty-four percent had incident opioid use, and 4% had LTOU in the follow-up period. PT was not associated with incident opioid use (odds ratio [OR], 1.07; 95% confidence interval [CI], 0.98-1.18) or LTOU (OR, 1.19; 95% CI, 0.97-1.45). Chiropractic care decreased the odds of opioid use (OR, 0.88; 95% CI, 0.80-0.97) and LTOU (OR, 0.56; 95% CI, 0.40-0.77).

Conclusion

In this study we found that receipt of chiropractic care, though not PT, may have disrupted the need for opioids and, in particular, LTOU in newly diagnosed LBP.

Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013-2018

BACKGROUND

Early identification of hereditary cancer risk would save lives, but genetic testing (GT) has been inadequate. We assessed i) trends for hereditary breast and ovarian cancer (HBOC), Lynch syndrome, and other GT and ii) factors associated with receipt of GT.

METHODS

We used data from the Arkansas All-Payer Claims Database from January 2013 through June 2018 (commercial, Medicaid), December 2017 (state employee), or December 2016 (Medicare) and identified enrollees with ≥1 month of enrollment. Using Current Procedural Terminology (CPT-4) codes, rates for GT were calculated per 100,000 person-quarters and time series regressions estimated. Second, GT and covariate information for enrollees with 24 months of continuous enrollment were used to estimate separate logistic regression models for each GT category.

RESULTS

Among 2,520,575 unique enrollees, HBOC testing rates were 2.2 (Medicaid), 22.0 (commercial), 40.4 (state employee), and 13.1(Medicare) per 100,000 person-quarters and increased linearly across all plans. Older age (OR=1.24; 95%CI 1.20 - 1.28), female sex (OR=18.91; 95%CI 13.01 - 28.86), higher comorbidity burden (OR=1.08; 95%CI 1.05 - 1.12), mental disorders (OR=1.53; 95%CI 1.15 - 2.00), and state employee coverage (OR=1.65; 95%CI 1.37 - 1.97) were positively associated with HBOC testing. Less than 1 of 10,000 enrollees received Lynch syndrome testing, while < 5 of 10,000 received HBOC testing.

CONCLUSION

GT rates for hereditary cancer syndromes have increased in Arkansas but remain low. Receipt of GT was explained with high discrimination by sex and plan type.

IMPACT

Expansion of GT for hereditary cancer risk in Arkansas is needed to identify high-risk individuals who could benefit from risk-reduction strategies.

Age Modifies Intracranial and Gastrointestinal Bleeding Risk from P2Y12 Inhibitors in Patients Receiving Dialysis

Background

Individuals aged ≥75 years are the fastest-growing population starting dialysis for end-stage kidney disease (ESKD) due to living longer with coronary artery disease. ESKD alone can increase bleeding risk, but P2Y₁₂ inhibitor (P2Y12-I) antiplatelet medications prescribed for cardiovascular treatment can exacerbate this risk in patients with ESKD. The age-specific rates of bleeding complications in dialysis patients with ESKD on P2Y12-I remain unclear, as does how age modifies the bleeding risk from P2Y12-I use in these patients.

Methods

In a retrospective cohort study, we collected data on 40,972 patients receiving maintenance hemo- or peritoneal dialysis who were newly prescribed P2Y12-I therapy between 2011 and 2015 from the USRDS registry. We analyzed the effect of age on the time to first bleed and the interactions between age and P2Y12-I type on modifying the effects of a bleed.

Results

Twenty percent of the cohort were aged ≥75 years. There were 3096 (8%) gastrointestinal (GI) and 1298 (3%) intracranial (IC) bleeding events during a median follow-up of 1 year. Annual incidence rates for IC bleeds were 2% in those aged <55 years and 3% in those aged ≥75 years. Rates for GI bleeds were 4% in those aged <55 years and 9% in those aged ≥75 years. On clopidogrel, prasugrel, and ticagrelor, for every decade increase in age of the cohort members, the risk of IC bleed increased by 9%, 55%, and 59%, and the risk of GI bleed increased by 21%, 28%, and 39%, respectively. At age ≥75 years, prasugrel was associated with a greater risk of IC bleed than clopidogrel. At age ≥60 years, ticagrelor was associated with a greater risk of GI bleed than clopidogrel.

Conclusions

More potent P2Y12-Is (prasugrel and ticagrelor) were associated with a disproportionately higher risk of IC bleed with increasing age compared with that of clopidogrel-prasugrel was much worse than clopidogrel at age ≥75 years. All three drugs were associated with only modest increase in the risk of GI bleed with every decade increase in age-ticagrelor was much worse than clopidogrel at ≥60 years of age. These results highlight the need for head-to-head clinical trials for the use of P2Y12-Is in patients with ESKD to determine age cutoffs where the risk of bleeding outweighs the benefits of thrombosis prevention.

Association between discontinuing chronic opioid therapy and newly diagnosed substance use disorders, accidents, self-inflicted injuries and drug overdoses within the prescribers' health care system: a retrospective cohort study

BACKGROUND AND AIM

Prescribers are commonly confronted with discontinuing opioid therapy among patients prescribed chronic opioid therapy (COT). This study aimed to measure the association between discontinuing COT and diagnoses of substance use disorders (SUDs) and opioid-related adverse outcomes (AOs).

DESIGN

Retrospective cohort study.

SETTING

United States Veterans Healthcare Administration.

PARTICIPANTS

Veterans with chronic pain on COT who discontinued opioid therapy were compared with those continuing COT using data from fiscal years 2009 to 2015.

MEASUREMENTS

Newly diagnosed substance use disorders (SUD composite; individual types: opioid, non-opioid drug and alcohol use disorders) and opioid-related adverse outcomes (AO composite; individual types: accidents resulting in wounds/injuries, opioid-related accidents/overdoses, alcohol and non-opioid medication-related accidents/overdoses, self-inflicted injuries and violence-related injuries) were evaluated. Primary analyses were conducted using 1:1 matching of discontinuers with those continuing COT based on propensity score and index date (±180-day window). Sensitivity analyses were conducted using logistic regressions with stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models.

FINDINGS

A total of 15 695 (75.4%) and 17 337 (76.6%) discontinuers were matched with those continuing COT among the cohorts testing SUD and AO development respectively. In the primary propensity score matched analyses, the composite SUD outcome was not different between discontinuers and those continuing COT (OR = 0.932, 95% CI = 0.850, 1.022). The composite AO outcome was lower among discontinuers (OR = 0.660, 95% CI = 0.623, 0.699) compared with those continuing COT. SIPTW analyses found lower SUD (OR = 0.789, 95% CI = 0.743, 0.837), and AO (OR = 0.660, 95% CI = 0.623, 0.699) rates among discontinuers. IV models found mixed and sometimes contradictory results.

CONCLUSIONS

Discontinuing patients from chronic opioid therapy appears to be associated with decreased diagnoses for opioid-related adverse outcomes. The association with substance use disorders appears to be inconclusive.

Opioid overdose counseling and prescribing of naloxone in rural community pharmacies: A pilot study

Introduction

Fatal overdoses from opioids increased four-fold from 1999 to 2009, and they are now the leading cause of death among Americans under 50. Legislation has been passed by every state to increase access to naloxone but dispensing by community pharmacies remains low.

Objectives

The objective of this study was to pilot test a proactive opioid overdose counseling intervention and a passive naloxone intervention, and the implementation strategies developed to support their delivery, in rural community pharmacies on relevant implementation outcomes.

Methods

The interventions, implementation strategies, and the overall pilot study approach were developed in a collaborative partnership with a regional supermarket pharmacy chain. They selected 2 rural pharmacies to participate in the pilot study and 2 non-intervention pharmacies to serve as comparison sites. Two interventions were pilot tested in the 2 intervention pharmacies: 1)a proactive opioid overdose counseling intervention and 2) a passive naloxone intervention. An explanatory sequential mixed-methods design was utilized to evaluate adoption, feasibility, acceptability, and appropriateness outcomes after the 3-month observation period.

Results

Between the 2 intervention pharmacies, 130 patients received the opioid overdose counseling intervention. 44 (33.8%) were prescribed and dispensed naloxone. Zero naloxone prescriptions were written or dispensed at the comparison pharmacies. Interviews with pharmacy staff found the interventions to be feasible, acceptable, and appropriate in their settings.

Conclusion

This small scale pilot study in partnership with a regional supermarket pharmacy chain had positive results with a third of patients who received the opioid overdose counseling intervention being dispensed naloxone. However, the majority of patients did not receive naloxone indicating additional revisions to the intervention components and/or implementation strategies are needed to improve the overall impact of the interventions.

Impact of transitioning from long-term to intermittent opioid therapy on the development of opioid-related adverse outcomes: A retrospective cohort study

BACKGROUND

Increasing pressures exist to reduce or discontinue opioid use among patients currently on long-term opioid therapy (LTOT). It is essential to understand the potential effects of opioid reduction.

METHODS

This retrospective cohort study was conducted among veterans with chronic pain and on LTOT. Using 1:1 propensity score-matched samples of veterans switching to intermittent opioid therapy and those continuing LTOT, we examined the development of subsequent substance use disorders (SUD composite; individual SUD types: opioid, non-opioid drug, and alcohol use disorders) and opioid-related adverse outcomes (ORAO composite; individual ORAO types: accidents resulting in wounds/injuries, opioid-related and alcohol/non-opioid medication-related accidents and overdoses, self-inflicted and violence-related injuries). Sensitivity analyses were conducted using logistic regression with stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models.

RESULTS

A total of 29,293 veterans switching to intermittent therapy were matched to veterans continuing LTOT. With matched samples, no differences were found in composite SUDs and ORAOs between the groups. With SIPTW, veterans switching to intermittent opioid therapy had higher odds of composite SUDs and ORAOs (SUDs aOR=1.12, 95%CI: 1.07,1.17; ORAOs aOR=1.05, 95%CI:1.00,1.09). IV models found lower risks for composite SUDs and ORAOs among veterans switching to intermittent opioid therapy (SUDs: β = -0.38, 95%CI:-0.63,-0.13; ORAOs: β = -0.27, 95%CI:-0.50,-0.04).

CONCLUSIONS

There were no consistent associations between transitioning patients from LTOT to intermittent opioid therapy and the risk of SUDs and ORAOs.

Using data science to improve outcomes for persons with opioid use disorder

Medication treatment for opioid use disorder (MOUD) is an effective evidence-based therapy for decreasing opioid-related adverse outcomes. Effective strategies for retaining persons on MOUD, an essential step to improving outcomes, are needed as roughly half of all persons initiating MOUD discontinue within a year. Data science may be valuable and promising for improving MOUD retention by using "big data" (e.g., electronic health record data, claims data mobile/sensor data, social media data) and specific machine learning techniques (e.g., predictive modeling, natural language processing, reinforcement learning) to individualize patient care. Maximizing the utility of data science to improve MOUD retention requires a three-pronged approach: (1) increasing funding for data science research for OUD, (2) integrating data from multiple sources including treatment for OUD and general medical care as well as data not specific to medical care (e.g., mobile, sensor, and social media data), and (3) applying multiple data science approaches with integrated big data to provide insights and optimize advances in the OUD and overall addiction fields.

Association Between Pain Intensity and Discontinuing Opioid Therapy or Transitioning to Intermittent Opioid Therapy After Initial Long-Term Opioid Therapy: A Retrospective Cohort Study

The purpose of this study was to evaluate changes in pain intensity among Veterans transitioning from long-term opioid therapy (LTOT) to either intermittent therapy or discontinuation compared to continued LTOT. Pain intensity was assessed using the Numeric Rating Scale in 90-day increments starting in the 90-day period prior to potential opioid transitions and the two ensuing 90-day periods after transition. Primary analyses used a 1:1 greedy propensity matched sample. A total of 29,293 Veterans switching to intermittent opioids and 5,972 discontinuing opioids were matched to Veterans continuing LTOT. Covariates were well balanced after matching except minor differences in baseline mean pain scores. Pain scores were lower in the follow up periods for those switching to intermittent opioids and discontinuing opioids compared to those continuing LTOT (0-90 days: Intermittent: 3.79, 95%CI: 3.76, 3.82; LTOT: 4.09, 95%CI: 4.06, 4.12, P < .0001; Discontinuation: 3.06, 95%CI: 2.99, 3.13; LTOT: 3.86, 95%CI: 3.79, 3.94, P = <.0001; 91-180 days: Intermittent: 3.76, 95%CI: 3.73, 3.79; LTOT: 3.99, 95%CI: 3.96, 4.02, P < .0001; Discontinuation: 3.01, 95%CI: 2.94, 3.09; LTOT: 3.80, 95%CI: 3.73, 3.87, P = <.0001). Sensitivity analyses found similar results. Discontinuing opioid therapy or switching to intermittent opioid therapy was not associated with increased pain intensity. PERSPECTIVE: This article evaluates the association of switching to intermittent opioid therapy or discontinuing opioids with pain intensity after using opioids long-term. Pain intensity decreased after switching to intermittent therapy or discontinuing opioids, but remained relatively stable for those continuing long-term opioid therapy. Switching to intermittent opioids or discontinuing opioids was not associated with increased pain intensity.

Characteristics and Network Influence of Providers Involved in the Treatment of Patients With Chronic Back, Neck or Joint Pain in Arkansas

Increasing emphasis on guidelines and prescription drug monitoring programs highlight the role of healthcare providers in pain treatment. Objectives of this study were to identify characteristics of key players and influence of opioid prescribers through construction of a referral network of patients with chronic pain. A retrospective cohort study was performed and patients with commercial or Medicaid coverage with chronic back, neck, or joint pain were identified using the Arkansas All-Payer Claims-Database. A social network comprised of providers connected by patient referrals based on 12-months of healthcare utilization following chronic pain was constructed. Network measures evaluated were indegree and eigen (referrals obtained), betweenness (involvement), and closeness centrality (reach). Outcomes included influence of providers, opioid prescribers, and brokerage status. Exposures included provider demographics, specialties and network characteristics. There were 51,941 chronic pain patients who visited 8,110 healthcare providers. Primary care providers showed higher betweenness and closeness whereas specialists had higher indegree. Opioid providers showed higher centrality compared to non-opioid providers, which decreased with increasing volume of opioid prescribing. Non-pharmacologic providers showed significant brokerage scores. Findings from this study such as primary care providers having better reach, non-central positions of high-volume prescribers and non-pharmacologic providers having higher brokerage can aid interventional physician detailing. PERSPECTIVE: Opioid providers held central positions in the network aiding provider-directed interventions. However, high-volume opioid providers were at the borders making them difficult targets for interventions. Primary care providers had the highest reach, specialists received the most referrals and non-pharmacological providers and specialists acted as brokers between non-opioid and opioid prescribers.

Trajectories of Opioid Coverage After Long-Term Opioid Therapy Initiation Among a National Cohort of US Veterans

Purpose

The objective of this study was to identify the trajectories that patients take after initiating long-term opioid therapy (LTOT).

Materials and Methods

Using a retrospective cohort design, veterans with chronic non-cancer pain (CNCP) initiating LTOT were identified. Group-based trajectory models were used to identify opioid therapy trajectories based on days of opioid supply (primary outcome) and average daily morphine milligram equivalent dose (AMME; secondary outcome) in each 180-day period following initiation of LTOT.

Results

A total of 438,398 veterans with CNCP initiated LTOT. Nine trajectories were identified: 33.7% with persistent, high days covered, 17.7% with persistent, moderate days covered, 16.6% with slow, persistent days-covered reduction, 2.4% with days-covered reduction followed by increase, 4.6% with delayed days-covered reduction, 4.1% with rapid days-covered reduction, 10.9% with moderate-paced discontinuation, 3.4% with delayed discontinuation, and 6.5% with rapid discontinuation. Patients following discontinuation trajectories were more likely to be younger, persons of color, use more supportive services (eg, physical therapy), and received less opioid days' supply and lower doses prior to initiating LTOT as compared to patients following persistent opioid days-covered trajectories. AMME trajectories were similar to days-covered trajectories.

Conclusion

Among persons initiating LTOT, nine opioid trajectories emerged which can be broadly characterized into three main trajectory groups: persistent opioid therapy (2 trajectories), reductions in opioid therapy (4 trajectories), and discontinuation (3 trajectories). A majority of patients (51.4%) maintained persistent opioid therapy. Further research is needed to assess the risks of opioid-related adverse outcomes among the identified trajectories.

Impact of opioid dose escalation on pain intensity: a retrospective cohort study

Prescribers are often confronted with the decision to escalate opioid doses to achieve adequate analgesia. Understanding the impact of dose escalation on pain intensity is warranted. Using a retrospective cohort study design, Veterans with chronic pain and chronic opioid therapy were identified. Opioid dose escalators (>20% increase in average morphine milligram equivalent daily dose) were compared with dose maintainers (±20% change in average morphine milligram equivalent daily dose) assessed over 2 consecutive 6-month windows. Pain intensity was measured by the Numeric Rating Scale. The primary analyses used linear repeated-measures models among a 1:1 matched sample of escalators and maintainers matched on propensity score and within ±180 days of the index date. Sensitivity analyses were conducted using adjusted linear repeated-measures models with and without incorporating stabilized inverse probability of treatment weighting. There were 32,420 dose maintainers and 20,767 dose escalators identified with 19,358 (93%) matched pairs. Pain scores were persistently higher among dose escalators at each 90-day period after the index date (0-90 days after index date: dose escalators: 4.68, 95% confidence interval [CI]: 4.64-4.72 dose maintainers: 4.32, 95% CI: 4.28-4.36, P < 0.0001; 91-180 days after index date: dose escalators: 4.53, 95% CI: 4.49-4.57; dose maintainers: 4.25, 95% CI: 4.22-4.29, P < 0.0001) but were not different in the 90 days before the index date (dose escalators: 4.64, 95% CI: 4.61-4.68; dose maintainers: 4.59, 95% CI: 4.55-4.63, P = 0.0551). Sensitivity analyses provided similar results as the primary analyses. Opioid dose escalation among patients with chronic pain is not associated with improvements in Numeric Rating Scale pain scores.

Cardiovascular health metrics and prevalence of cardiovascular disease in the Republic of Moldova

Background

Achieving and maintaining cardiovascular health of individuals has a significant impact on reducing cardiovascular disease (CVD) and mortality at the population level.

Methods

We performed a cross-sectional community survey of 2,612 adult respondents in the Republic of Moldova. The American Heart Association cardiovascular health metrics score was used in total and by its two components: (1) health factors (blood pressure, total cholesterol, glucose, body mass index); (2) health behaviors (nonsmoking, physical activity, healthy diet score). The prevalence of CVD was identified as the main outcome measure.

Results

The prevalence of CVD was lower in study participants having all 7 cardiovascular health metrics (14.7%; 95% CI, 2.8% to 26.6%) compared to those with 0 to 1 cardiovascular health metrics (78.2%; 95% CI, 67.3% to 89.1%). Among participants who met all health factor metrics, the prevalence of CVD was lower (15.1%; 95% CI, 5.5% to 24.7%) compared to those with 0 to 1 health factor metrics (72.5 %; 95% CI, 69.9% to 75.0%). Study respondents who engaged in all health behaviors and those who engaged in 0 to 1 health behaviors had a similarly high prevalence of CVD (60.1%; 95% CI, 57.4% to 62.8% and 60.4%; 95% CI, 55.3% to 65.4%, respectively).

Conclusions

Lower prevalence of CVD was related to a greater total score of cardiovascular health metrics and with health factor components. While those diagnosed CVD appear willing to improve their behaviors, the population at risk is not likely to engage in health behaviors to prevent the onset of CVD.

Key messages

Increasing individual’s responsibility in addressing their own health implies improvement of community health. Strategies for health promotion should focus more on an individual’s motivation to assume personal responsibility for behaviors affecting their health.

Impact of opioid dose escalation on the development of substance use disorders, accidents, self-inflicted injuries, opioid overdoses and alcohol and non-opioid drug-related overdoses: a retrospective cohort study

AIM

To understand the potential harmful effects of dose escalation among patients with chronic, non-cancer pain (CNCP) on chronic opioid therapy.

DESIGN

Retrospective cohort study.

SETTING

United States Veterans Healthcare Administration.

PARTICIPANTS

Veterans with CNCP and on chronic opioid therapy were identified using data from fiscal years 2008-15. The Veteran sample was approximately 90% male and 70% white.

MEASUREMENTS

Dose escalators [increase of > 20% average morphine milligram equivalent (MME) daily dose] were compared with dose maintainers (change of ±20% average MME daily dose). A composite measure of subsequent substance use disorders (SUDs: opioid, non-opioid and alcohol use disorders) and opioid-related adverse outcomes (AOs: accidents resulting in wounds/injuries, opioid-related and alcohol and non-opioid medication-related accidents and overdoses, self-inflicted injuries) as well as the individual SUDs and AOs was examined. The primary analyses were conducted among a 1 : 1 matched sample of escalators and maintainers matched on propensity score and index date. Propensity scores were generated using demographic characteristics, medical comorbidities, medication and health-care utilization characteristics. Subgroup analyses were conducted by quartile of the propensity score. Sensitivity analyses were conducted using adjusted logistic regression, logistic regression using stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models using geographic variation in opioid dose escalation as the IV.

FINDINGS

There were 32 420 maintainers and 20 767 escalators resulting in 19 358 (93.2%) matched pairs. Composite AOs [odds ratio (OR) = 1.31, 95% confidence interval (CI) = 1.23, 1.40], composite SUDs (OR = 1.31, 95% CI = 1.22, 1.41) and individual SUD and AO subtypes were higher among dose escalators, except for opioid-related accidents and overdoses and violence-related injuries. Subgroup analyses within the propensity score quartiles found similar results. Sensitivity analyses with the adjusted and SIPTW logistic regressions found similar results to the primary analyses for all outcomes except for opioid-related accidents and overdoses, which were found to be significantly higher among escalators. Sensitivity analyses with IV models provided mixed results with SUDs and the individual types of AOs.

CONCLUSION

Escalating the opioid dose for those with chronic, non-cancer pain is associated with increased risks of substance use disorder and opioid-related adverse outcomes.

Cost-Effectiveness of Intranasal Naloxone Distribution to High-Risk Prescription Opioid Users

OBJECTIVES

To determine the cost-effectiveness of pharmacy-based intranasal naloxone distribution to high-risk prescription opioid (RxO) users.

METHODS

We developed a Markov model with an attached tree for pharmacy-based naloxone distribution to high-risk RxO users using 2 approaches: one-time and biannual follow-up distribution. The Markov structure had 6 health states: high-risk RxO use, low-risk RxO use, no RxO use, illicit opioid use, no illicit opioid use, and death. The tree modeled the probability of an overdose happening, the overdose being witnessed, naloxone being available, and the overdose resulting in death. High-risk RxO users were defined as individuals with prescription opioid doses greater than or equal to 90 morphine milligram equivalents (MME) per day. We used a monthly cycle length, lifetime horizon, and US healthcare perspective. Costs (2018) and quality-adjusted life-years (QALYs) were discounted 3% annually. Microsimulation was performed with 100 000 individual trials. Deterministic and probabilistic sensitivity analyses were conducted.

RESULTS

One-time distribution of naloxone prevented 14 additional overdose deaths per 100 000 persons, with an incremental cost-effectiveness ratio (ICER) of $56 699 per QALY. Biannual follow-up distribution led to 107 additional lives being saved with an ICER of $84 799 per QALY compared with one-time distribution. Probabilistic sensitivity analyses showed that a biannual follow-up approach would be cost-effective 50% of the time at a willingness-to-pay (WTP) threshold of $100 000 per QALY. Naloxone effectiveness and proportion of overdoses witnessed were the 2 most influential parameters for biannual distribution.

CONCLUSION

Both one-time and biannual follow-up naloxone distribution in community pharmacies would modestly reduce opioid overdose deaths and be cost-effective at a WTP of $100 000 per QALY.

Impact of Medical Marijuana Legalization on Opioid Use, Chronic Opioid Use, and High-risk Opioid Use

OBJECTIVE

To determine the association of medical marijuana legalization with prescription opioid utilization.

METHODS

A 10% sample of a nationally representative database of commercially insured population was used to gather information on opioid use, chronic opioid use, and high-risk opioid use for the years 2006-2014. Adults with pharmacy and medical benefits for the entire calendar year were included in the population for that year. Multilevel logistic regression analysis, controlling for patient, person-year, and state-level factors, were used to determine the impact of medical marijuana legalization on the three opioid use measures. Sub-group analysis among cancer-free adults and cancer-free adults with at least one chronic non-cancer pain condition in the particular year were conducted. Alternate regression models were used to test the robustness of our results including a fixed effects model, an alternate definition for start date for medical marijuana legalization, a person-level analysis, and a falsification test.

RESULTS

The final sample included a total of 4,840,562 persons translating into 15,705,562 person years. Medical marijuana legalization was found to be associated with a lower odds of any opioid use: OR = 0.95 (0.94-0.96), chronic opioid use: OR = 0.93 (0.91-0.95), and high-risk opioid use: OR = 0.96 (0.94-0.98). The findings were similar in both the sub-group analyses and all the sensitivity analyses. The falsification tests showed no association between medical marijuana legalization and prescriptions for antihyperlipidemics (OR = 1.00; CI 0.99-1.01) or antihypertensives (OR = 1.00; CI 0.99-1.01).

CONCLUSIONS

In states where marijuana is available through medical channels, a modestly lower rate of opioid and high-risk opioid prescribing was observed. Policy makers could consider medical marijuana legalization as a tool that may modestly reduce chronic and high-risk opioid use. However, further research assessing risk versus benefits of medical marijuana legalization and head to head comparisons of marijuana versus opioids for pain management is required.

Utilization of prescription drug monitoring programs for prescribing and dispensing decisions: Results from a multi-site qualitative study

BACKGROUND

Prescription drug monitoring programs (PDMPs) track the dispensing of prescription-controlled substances with the goal of mitigating misuse and diversion. Authorized users query the PDMP for controlled substance prescription histories at the point of care. Despite widespread implementation of PDMPs, there is much not known about how PDMPs influence prescribing and dispensing decisions.

OBJECTIVES

The objective of this study was to investigate how primary care providers (PCPs) and pharmacists utilize PDMPs when making prescribing and dispensing decisions.

METHODS

Data from in-depth, qualitative interviews with PCPs (n = 48) and community pharmacists (n = 60) across four states- Arkansas, Idaho, Kentucky, and Washington were analyzed for themes around PDMP use.

RESULTS

Both PCPs and pharmacists reported that PDMPs are key tools for aiding prescribing and dispensing decisions. PCPs reported variable use of PDMPs with most querying the PDMP when there are "red flags" and fewer reporting having clinic policies that direct PDMP use. Primary care providers in Kentucky reported more consistent and routine use of the PDMP as a result of a state law that mandates query prior to the initial prescribing of Schedule II controlled substances. Community pharmacists practicing in chain pharmacies reported formal policies requiring PDMP query prior to dispensing opioids, while utilization of PDMPs by pharmacists practicing in independently-owned pharmacies was more variable. Pharmacists and PCPs reported barriers to PDMP use, such as having to "log in on a separate machine" and perceived that PDMP utility could be improved by integrating it within pharmacy dispensing systems and electronic health records.

CONCLUSIONS

Pharmacists and PCPs reported the importance of PDMP information to aid their prescribing and dispensing decisions. Efforts to enhance state PDMP programs should consider processes that seamlessly integrate all available controlled substance prescription history for a given patient at the point of care so that PDMP utility for prescribing and dispensing decisions is maximized.

Claims for contraceptive services among young women filling chronic opioid prescriptions

OBJECTIVE

To describe claims for contraceptive services among reproductive-aged women filling chronic opioid prescriptions.

STUDY DESIGN

Using a large US commercial claims database, IMS Lifelink+, we identified women aged 15-44 years who filled chronic opioid prescriptions (defined as a 90-day supply of opioids without a 30-day gap over a 180-day time period) and had continuous pharmacy and medical enrollment for at least 90 days prior to and 180 days following their index opioid prescription. After excluding women with any claims for pregnancy-related services, we describe claims for contraceptive prescriptions.

RESULTS

We identified 16,074 women with claims for chronic opioids who had filled an average of 135±28-day supply of opioids over a 180-day period. Of these, 23.4% (n=3759) had a claim for prescription contraception in the 90 days prior or 180 days following their index opioid claim. Of those who had claims for prescription contraception, 70% (n=2642) received oral contraceptives; only 2% had claims related to a long-acting reversible contraceptive (i.e., a contraceptive implant or intrauterine device).

CONCLUSIONS

Commercially insured women filling chronic opioid prescriptions may have unmet needs for prescription contraception.

IMPLICATIONS

Efforts are needed to ensure that the reproductive health needs of women filling chronic opioid prescriptions are met.

APPE Evaluations are Positively Associated with MMI, Pre-pharmacy GPA and Pharmacy GPA

Objective. To determine factors associated with advanced pharmacy practice experience (APPE) performance in the pre-pharmacy and Doctor of Pharmacy (PharmD) curriculum and establish whether performance on the multiple mini interview (MMI) independently predicts APPE evaluation scores. Methods. A multi-case MMI has been used in the admissions process since 2008. Students are scored anywhere from 1 to 7 (unsatisfactory to outstanding) on each interview. Traditional factors (GPA, PCAT, etc.) are also used in the admissions determination. Pearson product-moment correlation and ordinary least squares regression were used to explore the relationships between admissions data, pharmacy GPA, and APPE evaluation scores for the graduating classes of 2011-2014. These analyses identified which factors (pharmacy GPA, PCAT, MMI score, age, gender, rurality, resident status, degree, and underrepresented minority status) related to APPE performance. Results. Students (n=432) had a mean APPE score of 4.6; a mean MMI score of 5.5; mean pharmacy GPA, PCAT and age of 3.14, 73.2, 22.6 years, respectively. Pre-pharmacy GPA and pharmacy GPA positively correlated with mean APPE scores. MMI score demonstrated positive correlations with overall APPE score; including subcategories patient care, documentation, drug information/EBM, public health, and communication. MMI scores were positively related to overall APPE scores in the multivariable regression. Variables showing negative associations with APPE scores included a pre-pharmacy GPA of <3.0 (ref= GPA >3.5) and pharmacy school GPA of >3.0 - 3.5 and GPA 2.6 - 3.0 when compared to GPAs >3.5. Conclusion. GPA (pre-pharmacy and pharmacy) and MMI positively correlate with preceptor-rated performances in the APPE year.

Communication between pharmacists and primary care physicians in the midst of a U.S. opioid crisis

BACKGROUND

Effective communication between prescribers of opioids and community pharmacists can contribute to maximizing appropriate pain management and reducing opioid misuse and diversion. While much of the education and training available on reducing opioid misuse and diversion stresses the importance of interprofessional communication between prescribers and pharmacists, few studies have been explored those communication patterns directly.

OBJECTIVE

The objectives of this manuscript are to present and explore key emergent themes from a qualitative study around the nature, frequency, and content of communication between primary care physicians (PCPs) and pharmacists focusing on opioids.

METHODS

Interviews were conducted with 48 PCPs and 60 community pharmacists across four states in the U.S.: Washington, Idaho, Kentucky and Arkansas.

RESULTS

Convergent results from both samples indicated that the content of communication usually centers on questions of dosing, timing of the prescription, and/or evidence of potential misuse/diversion. When communication was focused on relaying information about a patient and/or clarifying questions around the prescription, it appeared positive for both parties. Results also indicated that close physical proximity between PCPs and dispensing pharmacists contributed to more positive and useful communication, especially when the clinics and pharmacies were part of the same healthcare system. Many pharmacists reported hesitancy in "questioning" a physician's judgement, which appeared related to commonly held beliefs of both pharmacists and physicians about the respective roles of each in providing patient care. Pharmacists reported difficulty in reaching PCPs for discussion, while PCPs reported it was easy to reach pharmacists.

CONCLUSIONS

Physician and pharmacist communication around opioids can be mutually beneficial. When prescribers and pharmacists are co-located, higher levels of trust and teamwork are reported, which in turn seems to be related to more open and positive communication. Additional research is needed to identify interventions to increase mutually-valued communication that improves the quality of decision-making around opioids.

Factors Associated with Opioid Initiation in OEF/OIF/OND Veterans with Traumatic Brain Injury

Objective

These analyses examined opioid initiation and chronic use among Iraq (OIF) and Afghanistan (OEF/OND) veterans with a new diagnosis of traumatic brain injury (TBI) in the Veterans Health Administration (VHA).

Methods

Data were obtained from national VHA data repositories. Analyses included OEF/OIF/OND veterans with a new TBI diagnosis in 2010-2012 who used the VHA at least twice, had not received a VHA opioid prescription in the 365 days before diagnosis, and had at least 365 days of data available after TBI diagnosis.

Results

Analyses included 35,621 veterans. Twenty-one percent initiated opioids; among new initiators, 23% used chronically. The mean dose was 24.0 mg morphine equivalent dose (MED) daily (SD = 24.26); mean days supplied was 60.52 (SD = 74.69). Initiation was significantly associated with age 36-45 years (odds ratio [OR] = 1.09, 95% CI = 1.01-1.17, P = 0.04), female gender (OR = 1.22, P < 0.001), having back pain (OR = 1.38, P < 0.0001), arthritis/joint pain (OR = 1.24, P < 0.0001), or neuropathic pain (OR = 1.415, P < 0.02). In veterans age 36-45 years, those living in small rural areas had higher odds of chronic opioid use (OR = 1.31, P < 0.0001, and OR = 1.33, P = 0.006, respectively) and back pain (OR = 1.36, P = 0.003). Headache/migraine pain was associated with decreased odds of chronic opioid use (OR = 0.639, P = 0.003).

Conclusions

Prevalence of opioid use is relatively low among OEF/OIF/OND veterans with newly diagnosed TBI who are using VHA. Among those who initiated opioids, about 25% use them chronically. Prescribing was mostly limited to moderate doses, with most veterans using opioids for approximately two months of the 12-month study period.

Lack of Impact of the 2009 USPSTF Guidelines on Rates of Mammography Screening

BACKGROUND

In November 2009, the United States Preventive Services Task Force (USPSTF) changed their mammography screening guidelines from recommending a screen every 1-2 years for women older than 40 years. The revised guideline recommends against regular screening for women aged 40-49 and recommends biennial screening for women aged 50-74.

RESEARCH DESIGN

We used autoregressive integrated moving-average (ARIMA) time series modeling to estimate the effect of the USPSTF 2009 guidelines on trends in screening rates. Enrollment and encounter files from the PharMetrics LifeLink+ commercial insurance claims database, years 2006-2014, were linked to determine monthly screening rates. The main outcome measure was mammography screening rates per 1,000 commercially insured women aged 40-49 or aged 50-64.

RESULTS

The study sample included 493,347 women aged 40-49 years with at least 1 month of eligibility and 658,052 women aged 50-64 years with at least 1 month of eligibility. There were 1,305,375 total screening mammograms from 2007 to 2014. Average monthly mammography screening rates from 2007 to 2014 were 40.4 per 1,000 women aged 40-49 and 54.8 per 1,000 women aged 50-64. There was a temporary decline in monthly screening rates of 11.8% and 11.2% for the 40-49 and 50-64 age groups, respectively, in the 2-month period after the guideline change (January and February 2010), but the rates quickly returned to pre-USPSTF trend levels afterward.

CONCLUSION

Implementation of the USPSTF 2009 guidelines was not associated with a persistent long-term change in mammography screening rates over the next 5 years, despite a temporary decline of 2 months immediately following the guidelines.

Prevalence of Chronic Kidney Disease, Thrombotic Cardiovascular Events, and Use of Oral P2Y12 Inhibitors among Veterans

BACKGROUND

Contemporary prevalence of chronic kidney disease (CKD) and thrombotic cardiovascular (CV) events remains unclear in Veterans enrolled in the Veterans Affairs Health Care System (VA) care. Although oral P2Y12 inhibitors (P2Y12i) are increasingly being prescribed to this patient population, the overall prescription trend for P2Y12i remains unclear.

METHODS

Using national VA corporate warehouse data, we used International Classification of Diseases-9 codes to identify Veterans with CKD, dialysis-dependent CKD, and CV events. VA pharmacy data were used to count P2Y12i prescriptions for the federal fiscal years (FY) 2011 through 2015.

RESULTS

The period prevalence of Veterans with CKD was 378,233 (6.1%). The point prevalence of CKD increased by 49% from 132,979 (2.30%) in FY11 to 213,444 (3.42%) in FY15. The period prevalence of Veterans with dialysis-dependent CKD was 150,298 (2.4%). In all, 128,703 (56.7%) CV events occurred in Veterans with CKD. Veterans with CKD were given 50.1% of prescriptions for clopidogrel, 49.3% for prasugrel, and 60.4% for ticagrelor. In this patient population, year-to-year increases in P2Y12i prescriptions were observed with a dramatic increase in ticagrelor prescriptions.

CONCLUSION

CKD is common among Veterans and its true prevalence is likely being underestimated. The prevalence of dialysis-dependent CKD is higher among Veterans than the non-Veteran US population. CV events are widely co-prevalent and these patients are commonly prescribed P2Y12i. The recent increase in ticagrelor prescriptions in this patient population and large cost differences between the 3 P2Y12i underline the need for future studies to identify the preferred P2Y12i for these patients.

Comparative Effectiveness of Intra-Articular Hyaluronic Acid and Corticosteroid Injections on the Time to Surgical Knee Procedures

BACKGROUND

Use of intra-articular hyaluronic acid (HA) injections to manage knee osteoarthritis (OA) remains controversial because of weak and conflicting evidence. The objective was to evaluate the effectiveness of intra-articular HA injections for knee OA management.

METHODS

A nested cohort of persons with knee OA seeing a specialist was created using a 10% random sample of LifeLink Plus claims (2010-2015) to compare the risk of composite (any) knee surgical interventions, total (TKA)/unicompartmental knee arthroplasty (UKA) and TKA only among HA users and 2 comparison groups: corticosteroid (CS) users and HA/CS nonusers. A high-dimensional propensity score (hdPS) was used to match HA users with CS users and with HA/CS nonusers on background covariates. The risk of surgical interventions among HA users relative to the comparison groups was assessed using Cox proportional hazard models.

RESULTS

Among 13,849 patients, 797 were HA users, 5327 were CS users, and 7725 were HA/CS nonusers. After hdPS matching, the risk of composite surgical interventions did not differ between HA users and HA/CS nonusers (hazard ratio [HR], 0.88; 95% confidence interval [CI], 0.67-1.16) and CS users (HR, 0.89; 95% CI, 0.65-1.12). Seven of the 8 sensitivity analyses demonstrated no significant benefit among HA users compared to CS users and HA/CS nonusers. A sensitivity analysis that restricted the study cohort to those who ultimately have knee surgery showed a lower risk of surgery of HA (HR, 0.87; 95% CI, 0.79-0.95).

CONCLUSION

There were no significant differences in the risk of surgical interventions among HA users compared to HA/CS nonusers and CS users after accounting for residual confounding using an hdPS.

Comparison of Low-, Moderate-, and High-Molecular-Weight Hyaluronic Acid Injections in Delaying Time to Knee Surgery

BACKGROUND

We compared the effectiveness of low-molecular-weight (MW) hyaluronic acid (HA) injections (LMWHA), moderate-MW HA injections (MMWHA), and high-MW HA injections (HMWHA) for prevention or delay of knee surgery in patients with knee osteoarthritis.

METHODS

An observational cohort study using LifeLink Plus claims (2006-2015) was used. The primary outcome measure of the study included all surgical interventions of the knee. The secondary outcome measures were the following: (1) unicompartmental knee arthroplasty or total knee arthroplasty and (2) total knee arthroplasty only. A high-dimensional propensity score (hdPS) using 1:1 matching was used to adjust for confounding. The likelihood of each outcome was assessed using Cox proportional hazard models.

RESULTS

A cohort of 30,417 incident HA users with knee osteoarthritis met our inclusion-exclusion criteria. There was no difference in the likelihood of composite surgical events between LMWHA users (hazard ratio, 0.939; 95% confidence interval, 0.870-1.013) and MMWHA users (hazard ratio, 1.032; 95% confidence interval, 0.952-1.119) when compared with HMWHA users in a matched hdPS analysis. However, a significantly lower likelihood for all outcome measures was demonstrated in LMWHA and MMWHA users compared with HMWHA users when hdPS was not used.

CONCLUSION

There was no significant difference in the likelihood of surgical interventions between LMWHA, MMWHA, and HMWHA users after accounting for empirically derived confounders.

Factors Influencing Long-Term Opioid Use Among Opioid Naive Patients: An Examination of Initial Prescription Characteristics and Pain Etiologies

The relationships between the initial opioid prescription characteristics and pain etiology with the probability of opioid discontinuation were explored in this retrospective cohort study using health insurance claims data from a nationally representative database of commercially insured patients in the United States. We identified 1,353,902 persons aged 14 years and older with no history of cancer or substance abuse, with new opioid use episodes and categorized them into 11 mutually exclusive pain etiologies. Cox proportional hazards models were estimated to identify factors associated with time to opioid discontinuation. After accounting for losses to follow-up, the probability of continued opioid use at 1 year was 5.3% across all subjects. Patients with chronic pain had the highest probability for continued opioid use followed by patients with inpatient admissions. Patients prescribed doses ≥90 morphine milligram equivalents (hazard ratio [HR] = .91; 95% confidence interval [CI], .91-.92), initiated with tramadol (HR = .89; 95% CI, .89-.90) or long-acting opioids (HR = .79; 95% CI, .77-.82) were less likely to discontinue opioids. Increasing days' supply of the first prescription was consistently associated with a lower likelihood of opioid discontinuation (HRs, CIs: 3-4 days' supply = .70, .70-.71; 5-7 days' supply = .48, .47-.48; 8-10 days' supply = .37, .37-.38; 11-14 days' supply = .32, .31-.33; 15-21 days' supply = .29, .28-.29; ≥22 days supplied = .20, .19-.20). The direction of this relationship was consistent across all pain etiologies. Clinicians should initiate patients with the lowest supply of opioids to mitigate unintentional long-term opioid use.

PERSPECTIVE

This study shows that characteristics of the first opioid prescription, particularly duration of the prescription, are significant predictors of continued opioid use irrespective of the indication for an opioid prescription. These data should encourage prescribers to initiate patients using the minimum effective opioid dose and duration to reduce unintended long-term use and could motivate policies that restrict the initial supply of opioids.

Progression to Uncontrolled Severe Asthma: A Novel Risk Equation

BACKGROUND

Recently published asthma guidelines by the European Respiratory Society and the American Thoracic Society (ERS-ATS) define severe disease based on medication use and control level. These guidelines also emphasize that asthma severity involves certain biomarker phenotypes, one of them being eosinophilic phenotype. The quantification of the influence of eosinophil level toward predicting disease severity can help decision makers manage therapy better earlier.

OBJECTIVE

To develop a risk-scoring algorithm to identify patients at greater risk of developing uncontrolled severe asthma as defined by ERS-ATS guidelines.

METHODS

Data on asthma patients were extracted from the EMRClaims + database from January 2004 to July 2011. Patients with continuous enrollment 12 months before and after the date of the first encounter with a diagnosis of asthma (index date) with at least 1 blood eosinophil test result in the 12 months after the index date, but before the development of uncontrolled severe asthma or the study end date, were included. Uncontrolled severe asthma was defined as the first date on which all criteria of the ERS-ATS definition were first satisfied in the 12 months after the index date. Age (≥ 50 years vs. < 50 years), race, and sex were measured at index, and the Charlson Comorbidity Index (CCI) score (> 0 vs. 0) was measured in the pre-index period. Elevated eosinophil level was defined as a test result with ≥ 400 cells/µL. The study cohort was randomly split 50-50 into derivation and validation samples. Cox proportional hazards regression was used to develop the risk score for uncontrolled severe asthma using the derivation cohort with independent variables of eosinophil level, age, sex, race, and CCI. A bootstrapping procedure was used to generate 1,000 samples from the derivation cohort. Variables significant in ≥ 50% of the samples were retained in the final regression model. A risk score was then calculated based on the coefficient estimates of the final model. C-statistic was used to test the model's discrimination power.

RESULTS

The study included 2,405 patients, 147 (6%) of whom developed uncontrolled severe asthma. Higher eosinophil level and CCI score > 0 were significantly and independently associated with an increased risk of uncontrolled severe asthma in the derivation cohort (HR = 1.90, 95% CI = 1.17-3.08 and HR = 2.00, 95% CI = 1.28-3.13, respectively); findings were similar in the validation cohort. Total risk score was categorized as 0, 2, and 4. All models showed good C-statistics (0.79-0.80), indicating favorable model discrimination. There was a significantly greater number of patients with uncontrolled severe asthma in the risk score segments of 2 and 4 compared with 0 (each P < 0.0001).

CONCLUSIONS

A risk stratification tool using peripheral eosinophil counts and CCI can be used to predict the development of uncontrolled severe asthma.

DISCLOSURES

This study was funded by Teva Pharmaceuticals. eMAX Health Systems was a consultant to Teva Pharmaceuticals for this study and received payment from Teva Pharmaceuticals for work on this study. Casciano and Dotiwala are employed by eMAX Health Systems. Krishnan, Li, and Martin received payment from eMAX Health Systems for work on this study. Small was employed by Teva Pharmaceuticals at the time of this study. Study concept and design were contributed primarily by Casciano, Krishnan, Small, and Martin, along with Li and Dotiwala. Dotiwala, Casciano, Small, and Li collected the data, along with Martin and Li and Krishnan. Data interpretation was provided by Martin, Casciano, and Li, with assistance from the other authors. The manuscript was written by Li, Casciano, Dotiwala, and Small, with assistance from the other authors, and revised by Dotiwala, Small, Li, and Martin, with assistance from Krishnan and Casciano.

Assessing the Medication Adherence App Marketplace From the Health Professional and Consumer Vantage Points

Background

Nonadherence produces considerable health consequences and economic burden to patients and payers. One approach to improve medication nonadherence that has gained interest in recent years is the use of smartphone adherence apps. The development of smartphone adherence apps has increased rapidly since 2012; however, literature evaluating the clinical app and effectiveness of smartphone adherence apps to improve medication adherence is generally lacking.

Objective

The aims of this study were to (1) provide an updated evaluation and comparison of medication adherence apps in the marketplace by assessing the features, functionality, and health literacy (HL) of the highest-ranking adherence apps and (2) indirectly measure the validity of our rating methodology by determining the relationship between our app evaluations and Web-based consumer ratings.

Methods

Two independent reviewers assessed the features and functionality using a 4-domain rating tool of all adherence apps identified based on developer claims. The same reviewers downloaded and tested the 100 highest-ranking apps including an additional domain for assessment of HL. Pearson product correlations were estimated between the consumer ratings and our domain and total scores.

Results

A total of 824 adherence apps were identified; of these, 645 unique apps were evaluated after applying exclusion criteria. The median initial score based on descriptions was 14 (max of 68; range 0-60). As a result, 100 of the highest-scoring unique apps underwent user testing. The median overall user-tested score was 31.5 (max of 73; range 0-60). The majority of the user tested the adherence apps that underwent user testing reported a consumer rating score in their respective online marketplace. The mean consumer rating was 3.93 (SD 0.84). The total user-tested score was positively correlated with consumer ratings (r=.1969, P=.04).

Conclusions

More adherence apps are available in the Web-based marketplace, and the quality of these apps varies considerably. Consumer ratings are positively but weakly correlated with user-testing scores suggesting that our rating tool has some validity but that consumers and clinicians may assess adherence app quality differently.

Cost-Effectiveness of Histamine2 Receptor Antagonists Versus Proton Pump Inhibitors for Stress Ulcer Prophylaxis in Critically Ill Patients

STUDY OBJECTIVE

To determine the cost-effectiveness of stress ulcer prophylaxis with histamine₂ receptor antagonists (H2RAs) versus proton pump inhibitors (PPIs) in critically ill and mechanically ventilated adults.

DESIGN

A decision analytic model estimating the costs and effectiveness of stress ulcer prophylaxis (with H2RAs and PPIs) from a health care institutional perspective.

PATIENTS

Adult mixed intensive care unit (ICU) population who received an H2RA or PPI for up to 9 days.

MEASUREMENTS AND MAIN RESULTS

Effectiveness measures were mortality during the ICU stay and complication rate. Costs (2015 U.S. dollars) were combined to include medication regimens and untoward events associated with stress ulcer prophylaxis (pneumonia, Clostridium difficile infection, and stress-related mucosal bleeding). Costs and probabilities for complications and mortality from complications came from randomized controlled trials and observational studies. A base case scenario was developed with pooled data from an observational study and meta-analysis of randomized controlled trials. Scenarios based on observational and meta-analysis data alone were evaluated. Outcomes were expected and incremental costs, mortalities, and complication rates. Univariate sensitivity analyses were conducted to determine the influence of inputs on cost, mortality, and complication rates. Monte Carlo simulations evaluated second-order uncertainty. In the base case scenario, the costs, complication rates, and mortality rates were $9039, 17.6%, and 2.50%, respectively, for H2RAs and $11,249, 22.0%, and 3.34%, respectively, for PPIs, indicating that H2RAs dominated PPIs. The observational study-based model provided similar results; however, in the meta-analysis-based model, H2RAs had a cost of $8364 and mortality rate of 3.2% compared with $7676 and 2.0%, respectively, for PPIs. At a willingness-to-pay threshold of $100,000/death averted, H2RA therapy was superior or preferred 70.3% in the base case and 97.0% in the observational study-based scenario. PPI therapy was preferred 87.2% in the meta-analysis-based scenario.

CONCLUSION

Providing stress ulcer prophylaxis with H2RA therapy may reduce costs, increase survival, and avoid complications compared with PPI therapy. This finding is highly sensitive to the pneumonia and stress-related mucosal bleeding rates and whether observational data are used to inform the model.

The impact of osteoporotic fractures compared with other health conditions in older adults living in Virginia, United States

This study compared length of stay, hospital costs, 30-day readmission, and mortality for patients admitted primarily for osteoporotic fractures to those admitted for five other common health conditions. The results indicated that osteoporotic fractures were associated with highest hospital charges and the second highest hospital stay after adjusting for confounders.

INTRODUCTION

This study aimed to compare the effect of osteoporotic fractures and other common hospitalized conditions in both men and women age 55 years and older on a large in-patient sample.

METHODS

De-identified patient level and readmission and transfer data from the Virginia Health Information (VHI) system for 2008 through 2014 were merged. Logistic regression models were used to assess mortality and 30-day readmission, while generalized linear models were fitted to assess LOS and hospital charges.

RESULTS

After adjustment for confounders, osteoporotic fractures had the second longest LOS (6.0 days, 95 % CI = 5.9-6.0) and the highest average total hospital charges ($47,386.0, 95 % CI = $46,707.0-$48,074.0) compared to the other five common health problems.

CONCLUSION

Recognizing risk and susceptibility to osteoporotic fractures is an important motivator for individual behaviors that mitigate this disease. Furthermore, acknowledging the economic impact and disabling burden of osteoporotic fractures on society are compelling reasons to promote bone health as well as to prevent, diagnose, and manage osteoporosis.

Improving Medication Compliance: A Practical Intervention

Objective:

To examine the effect of a device specifically designed to improve patient medication compliance. This device, the Counter Cap (CC), is a prescription vial closure that mechanically indicates when the bottle was last opened, presumably to take a dose of medication. The primary objective was to assess the effect of the CC on patient compliance as measured by refill behavior.

Method:

An experimental pretest-posttest control group design was used to study the effect of the CC on patient compliance. A systematic sampling technique was used to assign subjects to the experimental and control groups. Patient compliance was assessed through prescription refill behaviors measured over a six-month period (three months pre-CC and three months post-CC).

Results:

A full six months of prescription refill data were analyzed for 186 of 337 patients from 21 pharmacies. Patients in the experimental group (n = 88) demonstrated significantly improved (F = 4.44, p = 0.0366) medication compliance and less variability in the number of days of departure from the ideal compliance rate (F = 6.89, p = 0.009) over the control group (n = 98) as measured by refill behavior.

Conclusions:

The CC proved to be an inexpensive means to improve medication compliance as defined by this investigation.

Predictive Validity of the Beers and Screening Tool of Older Persons' Potentially Inappropriate Prescriptions (STOPP) Criteria to Detect Adverse Drug Events, Hospitalizations, and Emergency Department Visits in the United States

OBJECTIVES

To compare the predictive validity of the 2003 Beers, 2012 American Geriatrics Society (AGS) Beers, and Screening Tool of Older Persons' potentially inappropriate Prescriptions (STOPP) criteria.

DESIGN

Retrospective cohort.

SETTING

Managed care administrative claims data from 2006 to 2009.

PARTICIPANTS

Commercially insured persons aged 65 and older in the United States (N=174,275).

MEASUREMENTS

Association between adverse drug events (ADEs), emergency department (ED) visits, and hospitalization outcomes and inappropriate medication use using time-varying Cox proportional hazard models. Measures of model discrimination (c-index) and hazard ratios (HRs) were calculated to compare unadjusted and adjusted models for associations.

RESULTS

The prevalence of inappropriate prescribing was 34.1% for the 2012 AGS Beers criteria, 32.2% for the 2003 Beers criteria, and 27.6% for the STOPP criteria. Each set of criteria modestly discriminated ADEs in unadjusted analyses (STOPP criteria: hazard ratio (HR)=2.89, 95% confidence interval (CI)=2.68-3.12, C-index=0.607; 2012 AGS Beers criteria: HR=2.51, 95% CI=2.33-2.70, C-index=0.603; 2003 Beers criteria: HR=2.65, 95% CI=2.46-2.85, C-index=0.605). Similar results were observed for ED visits and hospitalizations. The c-indices increased to between 0.65 and 0.70 in adjusted analyses. The kappa for agreement between criteria was 0.80 for the 2003 and 2012 AGS Beers criteria, 0.58 for the 2012 AGS Beers and STOPP criteria, and 0.59 for the 2003 Beers and STOPP criteria. For the three outcomes, the 2012 AGS Beers criteria had the highest sensitivity (61.2-71.2%) and the lowest specificity (41.2-70.7%), and the STOPP criteria had the lowest sensitivity (53.8-64.7%) but the highest specificity (47.8-78.1%).

CONCLUSION

All three criteria were modestly prognostic for ADEs, EDs, and hospitalizations, with the STOPP criteria slightly outperforming both Beers criteria. With low sensitivity, low specificity, and low agreement between the criteria, they can be used in a complementary fashion to enhance sensitivity in detecting ADEs.

Assessment of medication adherence app features, functionality, and health literacy level and the creation of a searchable Web-based adherence app resource for health care professionals and patients

OBJECTIVES

To assess the features and level of health literacy (HL) of available medication adherence apps and to create a searchable website to assist health care providers (HCP) and patients identify quality adherence apps.

PRACTICE DESCRIPTION

Medication nonadherence continues to be a significant problem and leads to poor health outcomes and avoidable health care expense. The average adherence rate for chronic medications, regardless of disease state, is approximately 50% leaving significant room for improvement.

PRACTICE INNOVATION

Smartphone adherence apps are a novel resource to address medication nonadherence. With widespread smartphone use and the growing number of adherence apps, both HCP and patients should be able to identify quality adherence apps to maximize potential benefits.

INTERVENTIONS

Assess the features, functionality and level of HL of available adherence apps and create a searchable website to help both HCP and patients identify quality adherence apps.

EVALUATION

Online marketplaces (iTunes, Google Play, Blackberry) were searched in June of 2014 to identify available adherence apps. Online descriptions were recorded and scored based on 28 author-identified features across 4 domains. The 100 highest-scoring apps were user-tested with a standardized regimen to evaluate their functionality and level of HL.

RESULTS

461 adherence apps were identified. 367 unique apps were evaluated after removing "Lite/Trial" versions. The median initial score based on descriptions was 15 (max of 68; range: 3 to 47). Only 77 apps of the top 100 highest-scoring apps completed user-testing and HL evaluations. The median overall user-testing score was 30 (max of 73; range: 16 to 55).

CONCLUSION

App design, functionality, and level of HL varies widely among adherence apps. While no app is perfect, several apps scored highly across all domains. The website www.medappfinder.com is a searchable tool that helps HCP and patients identify quality apps in a crowded marketplace.

Multiple Mini-Interview Performance Predicts Academic Difficulty in the PharmD Curriculum

Objective. To identify admissions variable prognostics for academic difficulty in the PharmD curriculum to use for admissions determinations and early identification of at-risk students. Methods. Retrospective multivariate analysis of 2008-2012 admission data were linked with academic records to identify students with academic difficulty (ie, those with Ds, Fs, delayed progression). The influence of prepharmacy grade point average (GPA), composite Pharmacy College Admission Test (PCAT) score, multiple-mini interview (MMI) score, age, credit hours, state residence, and prior degree on academic difficulty was estimated using multivariate logistic regression. Results. Students' (n=587) prepharmacy GPA, composite PCAT score, mean MMI score, and age were 3.6, 72.0, 5.5, 22.8 (SD=4.14 years), respectively. Students having a GPA <3.25, PCAT score <60th percentile, or MMI score <4.5, were approximately 12-, 7-, and 3-times more likely, respectively, to experience academic difficulty than those with a GPA ≥ 3.75, PCAT score >90, or MMI score of 5-6. Conclusion. Using GPA, PCAT, and MMI performance can predict academic difficulty and assist in the early identification of academically at-risk PharmD students.