Barriers and facilitators to PDMP IS Success in the US: A systematic review

Implementation of Electronic Health Record Integration and Clinical Decision Support to Improve Emergency Department Prescription Drug Monitoring Program Use

STUDY OBJECTIVE(S)

To evaluate the implementation of 3 electronic health record (EHR)-based interventions to increase prescription drug monitoring program (PDMP) use in the emergency department (ED): EHR-PDMP integration, addition of a PDMP risk score, and addition of EHR-based clinical decision support alert to review the PDMP when prescribing an opioid.

METHODS

Three intervention stages were implemented using a prospective stepped-wedge design at 5 university-affiliated EDs split into 3 practice groups. The PDMP use and prescribing rates during the 3 stages were compared with baseline before EHR integration and a sustainability stage where the clinical decision support alert was removed, but EHR integration and risk score remained. Generalized linear mixed model with logit link function and a random intercept for clinicians was analyzed.

RESULTS

The ED provider PDMP review before opioid prescribing was low in all stages. The highest review rate occurred during interruptive clinical decision support alerts, 23.8% (interquartile range 10.6 to 37.5). Overall, opioid prescribing declined, and PDMP review was not associated with a decrease in opioid prescribing. PDMP review was associated with a reduction in the probability of prescribing an opioid as the number of prior opioid prescriptions increased (odds ratio: 0.92 [95% confidence interval: 0.91 to 0.94] for every additional prescription).

CONCLUSION

The EHR-PDMP integration did not increase PDMP use in the ED, but a PDMP risk score and a clinical decision support alert were associated with modest increases in the probability of PDMP review. When the PDMP is reviewed, ED clinicians are less likely to prescribe opioids to patients with a high number of prior opioid prescriptions.

Health-care practitioner use of prescription drug monitoring programs in clinical practice in Australia: A qualitative study

INTRODUCTION

Prescription drug monitoring programs (PDMP) are electronic databases used by prescribers and pharmacists to monitor the use of high-risk prescription medications subject to extramedical use. This study aimed to explore how Australian pharmacists and prescribers are using PDMPs in practice and to gain an understanding of barriers to tool use, as well as practitioner recommendations to increase tool usability and uptake.

METHODS

Semi-structured interviews were conducted with pharmacists and prescribers who use a PDMP (n = 21). The interviews were audio-recorded, transcribed and thematically analysed.

RESULTS

The four themes that emerged were: (i) PDMP notifications combined with practitioner clinical judgement guide PDMP usability; (ii) practitioners use PDMPs to facilitate patient and practitioner communication; (iii) workflow systems integration impacts tool usability; and (iv) optimising PDMP information and data access including practitioner-tool engagement to improve tool uptake and usability.

DISCUSSION AND CONCLUSIONS

Practitioners appreciate the value of PDMP information support for clinical decisions and patient communication. However, they also acknowledge the challenges to tool use and recommend improvements including enhanced workflow, systems integration, optimisation of tool information and national data sharing. Practitioners provide an important perspective on PDMP use in clinical practice. The findings can be drawn on by PDMP administrators to improve tool usefulness. Consequently, this may lead to an increase in practitioner PDMP use and optimise the delivery of quality patient care.

Associations between opioid overdose deaths and drugs confiscated by law enforcement and submitted to crime laboratories for analysis, United States, 2014-2019: an observational study

Background

The overdose epidemic in the United States (US) continues to generate unprecedented levels of mortality. There is urgent need for a national data system capable of yielding high-quality, timely, and actionable information on existing and emerging drugs. Public health researchers have started using law enforcement forensic laboratory data to obtain surveillance information on illicit drugs. This study is the first to use drug reports from the entire US to examine correlations between a changing drug supply and increasing opioid-involved overdose deaths (OOD) on a national scale.

Methods

This study is observational and investigates associations between law enforcement drug reports and OOD for the US from 2014 to 2019. OOD data are from the Centers for Disease Control and Prevention's National Vital Statistics System restricted-use multiple cause of death files. The US Drug Enforcement Administration's National Forensic Laboratory Information System (NFLIS) contains forensic laboratory-tested drug exhibit information for the entire US (NFLIS-Drug). Counts of forensic laboratory reports and OOD were aggregated for each state by month, quarter, and year. A difference-in-differences framework was used to estimate contemporaneous and lagged associations.

Findings

Between 2014 and 2019 in the US, 249,522 OOD were reported, with the annual number nearly doubling from 28,723 to 50,179. OOD involving illicitly manufactured fentanyls (IMF) also increased substantially during this period, from 19.4% to 72.9%. In addition, 3,817,438 forensic laboratory reports in the US that were reported to NFLIS-Drug contained an opioid, stimulant, or benzodiazepine. Reports of fentanyl and fentanyl-related compounds (FFRC) had the strongest association with OOD. Each additional FFRC exhibit was associated with a 2.97% (95% CI: 1.7%, 4.1%) increase in OOD per 100,000 persons per quarter.

Interpretation

Adding to the emerging consensus, protracted growth in IMF supply was more strongly associated with OOD than all other illicit drugs reported to NFLIS-Drug over the study time period. Findings demonstrate NFLIS-Drug data usefulness for research that require proxy indicators for the illicit drugs supply. A concerted effort between public health and public safety to make NFLIS-Drug more timely could strengthen its utility as a national, public health, drug surveillance system.

Funding

Sangeetha Arctic Slope Mission Services, LLC, ASMS Contract No. ASM5-00017.

Mapping prescription drug monitoring program data to self-report measures of non-medical prescription opioid use in community pharmacy settings

BACKGROUND

Community pharmacists are well-positioned to identify patients engaged in non-medical prescription opioid use (NMPOU) through Prescription Drug Monitoring Program (PDMP) databases. Integrating patient-reported outcomes with PDMP data may improve the interpretability of PDMP information to support clinical decision-making.

OBJECTIVE

This study linked patient-reported clinical measures of substance use with PDMP data to examine relationships between average daily opioid dose in morphine milligram equivalents (MME) and visits to multiple pharmacies/prescribers with self-reported NMPOU.

METHODS

Data from a cross-sectional health assessment given to patients aged ≥18 years filling opioid prescriptions were linked to PDMP records. NMPOU in the past three months was assessed on a continuous scale (range 0-39) using an adapted version of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). PDMP measures included average daily MME and number of distinct pharmacies/prescribers visited in the past 180 days. Univariable and multivariable zero-inflated negative binomial models estimated associations between PDMP measures and any NMPOU and severity of use.

RESULTS

The sample included 1421 participants. In multivariable models adjusted for sociodemographic, mental health, and physical health characteristics, any NMPOU was associated with higher average daily MME (adjusted OR = 1.22, 95% CI = 1.05-1.39) and number of distinct prescribers visited (adjusted OR = 1.15, 95% CI = 1.01-1.30). Higher average daily MME (adjusted mean ratio (MR) = 1.12, 95% CI = 1.08-1.15), number of distinct pharmacies visited (adjusted MR = 1.11, 95% CI = 1.04-1.18), and number of distinct prescribers visited (adjusted MR = 1.07, 95% CI = 1.02-1.11) were associated with increased NMPOU severity.

CONCLUSIONS

We observed significant, positive associations between average daily MME and visits to multiple pharmacies/prescribers with any NMPOU and severity of use. This study demonstrates self-report clinical measures of substance use can be cross-walked to PDMP data and translated into clinically interpretable information.

Evidence-Based Interventions to Improve Opioid Prescribing in Primary Care: a Qualitative Assessment of Implementation in Two Studies

BACKGROUND

The TOPCARE and TEACH randomized controlled trials demonstrated the efficacy of a multi-faceted intervention to promote guideline-adherent long-term opioid therapy (LTOT) in primary care settings. Intervention components included a full-time Nurse Care Manager (NCM), an electronic registry, and academic detailing sessions.

OBJECTIVE

This study sought to identify barriers, facilitators, and other issues germane to the wider implementation of this intervention.

DESIGN

We conducted a nested, qualitative study at 4 primary care clinics (TOPCARE) and 2 HIV primary care clinics (TEACH), where the trials had been conducted.

APPROACH

We purposively sampled primary care physicians and advanced practice providers (hereafter: PCPs) who had received the intervention. Semi-structured interviews explored perceptions of the intervention to identify unanticipated barriers to and facilitators of implementation. Interview transcripts were analyzed through iterative deductive and inductive coding exercises.

KEY RESULTS

We interviewed 32 intervention participants, 30 physicians and 2 advanced practice providers, who were majority White (66%) and female (63%). Acceptability of the intervention was high, with most PCPs valuing didactic and team-based intervention elements, especially co-management of LTOT patients with the NCM. Adoption of new prescribing practices was facilitated by proximity to expertise, available behavioral health care, and the NCM's support. Most participants were enthusiastic about the intervention, though a minority voiced concerns about the appropriateness in their particular clinical environments, threats to the patient-provider relationship, or long-term sustainability.

CONCLUSION

TOPCARE/TEACH participants found the intervention generally acceptable, appropriate, and easy to adopt in a variety of primary care environments, though some challenges were identified. Careful attention to the practical challenges of implementation and the professional relationships affected by the intervention may facilitate implementation and sustainability.

A scoping review of barriers and facilitators to the integration of substance use treatment services into US mainstream health care

Background

Following the national implementation of the Affordable Care Act (ACA) in 2014, barriers still exist that limit the adoption of substance use treatment (SUT) services in mainstream health care (MHC) settings in the United States. This study provides an overview of current evidence on barriers and facilitators to integrating various SUT services into MHC.

Methods

A systematic search was conducted with the following databases: "PubMed including MEDLINE", "CINAHL", "Web of Science", "ABI/Inform", and "PsycINFO." We identified barriers and/or facilitators affecting patients, providers, and programs/systems.

Results

Of the 540 identified citations, 36 were included. Main barriers were identified for patients (socio-demographics, finances, confidentiality, legal impact, and disinterest), providers (limited training, lack of time, patient satisfaction concerns, legal implications, lack of access to resources or evidence-based information, and lack of legal/regulatory clarity), and programs/systems (lack of leadership support, lack of staff, limited financial resources, lack of referral networks, lack of space, and lack of state-level support). Also, we recognized key facilitators pertaining to patients (trust for providers, education, and shared decision making), providers (expert supervision, use of support team, training with programs like Extension for Community Health Outcomes (ECHO), and receptivity), and programs/systems (leadership support, collaboration with external agencies, and policies e.g., those expanding the addiction workforce, improving insurance access and treatment access).

Conclusions

This study identified several factors influencing the integration of SUT services in MHC. Strategies for improving SUT integration in MHC should address barriers and leverage facilitators related to patients, providers, and programs/systems.

National Estimates and Physician-Reported Impacts of Prescription Drug Monitoring Program Use

BACKGROUND

Despite widespread adoption of state prescription drug monitoring programs (PDMPs), it is unclear how often PDMPs are accessed through an electronic health record system (EHR-PDMP integration), or whether efforts to make PDMPs easier to access and use have improved their utility.

OBJECTIVE

To produce national-level estimates on the use of PDMPs among office-based physicians and benefits associated with their use.

DESIGN

We use nationally representative survey data to produce descriptive statistics on PDMP use and associated benefits among office-based physicians in the USA.

PARTICIPANTS

1398 office-based physicians who prescribe controlled substances.

MAIN MEASURES

We examined physician-reported ease and frequency of PDMP use, and how EHR-PDMP integration affects frequency and ease of use. Multivariate models were used to assess whether characteristics of PDMP use were related to physician-reported benefits such as reduced prescribing of controlled substances and perceived improvements in clinical decision-making.

KEY RESULTS

In 2019, two-thirds of office-based physicians in the USA reported frequent use of their state PDMP and over three-quarters reported they were easy to use. Both frequency and ease of use were positively correlated with PDMP integration status. Respondents who frequently checked their state's PDMP were 8.7 percentage points (95% CI -.4 to 17.8) more likely to report perceived benefits and reported 2.2 (95% CI 1.54 to 2.83) more benefits. Respondents who indicated their PDMP was easy to use were 12.7 percentage points (95% CI .040 to .214) more likely to report perceived benefits and reported 0.94 (95% CI 0.26 to 1.61) more benefits.

CONCLUSIONS

Our findings suggest efforts to make PDMPs easier to access and use aided physicians in making informed clinical decisions that may not be captured by reduced prescribing alone. Efforts to further increase frequency and ease of use-including advancing a standards-based approach to PDMP and EHR data interoperability-may further increase the benefit of PDMPs.

Adoption of E-learning systems: An integration of ISSM and constructivism theories in higher education

Based on constructivism theory and the Information System Success Model, this study suggests a research model that examines the factors that influence students' collaborative engagement and satisfaction in an e-learning system setting. This study intends to validate the theoretical concepts and the Information System Success Model (ISSM) on e-learning platforms for user satisfaction and collaborative activity in order to expand the adoption of e-learning systems in higher education. This research used a questionnaire as the primary data collection method to obtain information for the study from 300 responses from different students at the University of Bisha, who all use e-learning platforms. The results were achieved using structural equation modeling, a quantitative research technique (SEM-AMOS). All of the study's hypotheses were supported, according to the findings of the structural model and hypothesis testing. The outcomes of peer interaction (IP) and instructor interaction (IL) have a favorable impact on satisfaction and teamwork, which have a beneficial impact on the usage of e-learning in higher education. This is advantageous for sustainability as well as the adoption of e-learning systems. Finally, the study demonstrates that user happiness and collaborative involvement have a favorable impact on the utilization of e-learning systems. As a result, universities should promote e-learning as a long-term educational strategy.

Barriers to Increasing Prescription Drug Monitoring Program Use: A Multidisciplinary Perspective

Prescription drug monitoring programs are implemented through individual state policies and are one solution to curb the opioid crisis. The objectives of this study are to: (1) describe the multidisciplinary experiences using this program in practice; (2) identify limitations of the program and the desired features for improvement; and (3) characterize expectations for improved access when prescription drug monitoring programs are embedded in the electronic health record. A qualitative descriptive study design used semistructured interviews of 15 multidisciplinary healthcare providers. Textual data were analyzed using content analysis. Results showed the prescription drug monitoring program was helpful to decision-making processes related to opioid prescribing and referral to treatment; there were barriers limiting healthcare providers' use of the prescription drug monitoring program; preferences were delineated for integrating prescription drug monitoring program into electronic health record; and recommendations were provided to improve the program and increase use. In conclusion, the prescription drug monitoring program was viewed as useful in making strides to reduce the impact of inappropriate opioid prescribing in our country. By engaging a multidisciplinary group of healthcare providers, solutions were offered to improve the interface and function of the prescription drug monitoring program to assist in increasing use.

Multiple Opioid Prescribers During the Perioperative Period Increases Opioid Consumption Following Upper Extremity Surgery: A Multicenter Analysis

Background

Opioid prescribing practices have been an area of interest for orthopedic surgeons in the wake of the opioid epidemic. Previous studies have investigated the effects of a multitude of patient-specific risk factors on prolonged opioid use postoperatively. However, to date, there is a lack of studies examining the effects of multiple prescribers during the perioperative period and their potential contribution to prolonged opioid use postoperatively. This study aimed to investigate if multiple unique opioid prescribers perioperatively predispose patients to prolonged opioid use following upper extremity surgery. Second, we compared opioid prescribing patterns among different medical specialties.

Methodology

This retrospective study was conducted at three academic institutions. Between April 30, 2018, and August 30, 2019, 634 consecutive patients who underwent one of three upper extremity procedures  were included in the analysis: carpal tunnel release (CTR), basal joint arthroplasty (BJA), or distal radius fracture open reduction and  internal fixation (DRF ORIF). Prescription information was collected using the state Prescription Drug Monitoring Program (PDMP) online database  from a period of three months preoperatively to six months postoperatively. A Google search was performed to group prescriptions by medical specialty.  Dependent outcomes included whether patients filled an additional opioid prescription postoperatively and prolonged opioid use (defined as opioid use three to six months postoperatively).

Results

In total, 634 patients were identified, including 276 CTRs, 217 DRF ORIFs, and 141 BJAs. This consisted of 196 males (30.9%) and 438 females (69.1%) with an average age of 59.4 years (SD: 14.7 years). By six months postoperatively, 191 (30.1%) patients filled an additional opioid prescription, and 89 (14.0%) experienced prolonged opioid use. In total, 235 (37.1%) patients had more than one unique opioid prescriber during the study period (average 2.5 prescribers). Patients with more than one unique opioid prescriber were significantly more likely to have received overlapping opioid prescriptions (15.7% vs. 0.8%, p<.001), to have filled an additional opioid prescription postoperatively (63.8% vs 10.3%, p<.001), and to have experienced prolonged opioid use postoperatively (35.3% vs 1.5%, p<.001) compared to patients with only one opioid prescriber. Patients with multiple unique prescribers filled more opioid prescriptions compared to those with a single prescriber (2.8 refills vs 1.8 refills, p=.035). Within six months postoperatively, 71.4% of opioid refills were written by non-orthopedic providers. Opioid refills written by non-orthopedic prescribers were written for a significantly greater number of pills (68.4 vs. 27.9, p<.001), for a longer duration (22.2 vs. 6.2 days, p<.001), and for larger total morphine milligram equivalents per prescription (831.4 vs. 169.8, p<.001) compared to those written by orthopedic prescribers.

Conclusions

Patients with multiple unique opioid prescribers during the perioperative period are at a higher risk for prolonged opioid use postoperatively. Non-orthopedic providers were the highest prescribers of opioids postoperatively, and they prescribed significantly larger and longer prescriptions. Our findings highlight the value of utilizing PDMP databases to help curtail opioid overprescription and potential adverse opioid-related outcomes following upper extremity surgery.

Optimization of Prescription Drug Monitoring Program to Overcome Opioid Epidemic in West Virginia

The development of the Prescription Drug Monitoring Program (PDMP) led to an innovation in the healthcare organization system (HCOs). The PDMP system has been utilized in different states at various organizational levels in an effort to achieve improved health outcomes, reduce the number of prescription drug overdoses, and lighten the economic burden that follows. However, during the implementation of PDMP, there were several barriers and limitations that were discovered. Those barriers impeded the process of utilization of PDMP, such as the complex user interface and lack of training for healthcare providers. The purpose of this paper was to examine the advances and limitations in the utilization and implementation of PDMP in the US healthcare industry and develop strategies for effective use of PDMP in West Virginia.

The qualitative part of this paper was a literature review. The paper referred to several peer-reviewed studies and research articles from several reliable resources, which were reached by databases or Google Scholar. A total of 44 articles were reviewed for this study.

The implementation of the PDMP was influenced by benefits and barriers. This article reviewed several studies in general that demonstrated positive outcomes from the implementation of PDMP, including a reduced number of prescription drug overdoses, coordinated care for patients, and improved health outcomes. However, the barriers and limitations were not neglected, which mainly include integration of PDMP into the electronic health record (EHR) system, lack of training for the providers, and lack of basic standards for the use of PDMP.

Although the new health reforms encouraged the adaption of PDMP among providers, data reporting and data interpretation still remain major concerns for assessing the health outcomes of PDMP implementation.

Mapping the research addressing prescription drug monitoring programs: A scoping review

ISSUES

Prescription drug monitoring programs are a harm minimisation intervention and clinical decision support tool that address the public health concern surrounding prescription drug misuse. Given the large number of studies published to date and the ongoing implementation of these programs, it is important to map the literature and identify areas for further research to improve practice.

APPROACH

A scoping review was undertaken to identify the research on prescription drug monitoring programs published between January 2015 and April 2021.

KEY FINDINGS

A total of 153 citations were included in this scoping review. The majority of the studies originated from the USA and were quantitative. Results on program effectiveness are mixed and mainly examine their association with opioid-related outcomes. Unintended consequences are revealed in the literature and this review also highlights barriers to program use.

IMPLICATIONS

Overall, findings are mixed despite the large number of studies published to date. Mapping the literature identifies priority areas for further research that can advise policymakers and clinicians on practice improvement.

CONCLUSION

Results on prescription drug monitoring program effectiveness are mixed and mainly examine their association with opioid-related outcomes. This review highlights barriers to prescription drug monitoring program effectiveness related to program use and system integration. Further research is needed in these areas to improve prescription drug monitoring program use and patient outcomes.

Key considerations for the implementation of clinically focused Prescription Drug Monitoring Programs to avoid unintended consequences

Prescription Drug Monitoring Programs (PDMP) are electronic databases that are used to track and monitor the prescribing and dispensing of controlled substances, including opioid analgesics and benzodiazepines. PDMP have been widely implemented throughout North America and are currently being introduced in Australia and some parts of Europe. PDMP were originally developed by and for law enforcement, however many jurisdictions have now shifted use toward clinical care and harm reduction through early identification of prescription dependence and extra-medical use, and to ensure appropriate supply of controlled substances to the community through monitoring health care provider prescribing and dispensing patterns (Deloitte, 2018; Picco et al., 2021a; CDC, 2021a, U.S Department of Justice, 2018). Clinically-motivated PDMP highlight medication-related risk, based on the patient's prescribing and dispensing history. Health care professionals can use this information to aid or inform clinical decision-making and provide opportunities for intervention and treatment (Deloitte, 2018) . However, a number of harms have been associated with the use of PDMP, including increased stigma and discrimination, untreated pain and mental illness, and denial of appropriate health care for those identified as 'high risk'. In this article we examine these harms and potential mitigating factors. We conclude with some suggestions and future directions for research to address some of the current uncertainties regarding PDMP use. We highlight the need for mixed methods research to better understand the personal impacts of PDMP policy on the populations they were designed to aid.

Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test

BACKGROUND

Prescription drug monitoring programs (PDMPs) are critical for pharmacists to identify risky opioid medication use. We performed an independent evaluation of the PDMP-based Narcotic Score (NS) metric.

METHODS

This study was a one-time, cross-sectional health assessment within 19 pharmacies from a national chain among adults picking-up opioid medications. The NS metric is a 3-digit composite indicator. The WHO Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was the gold-standard to which the NS metric was compared. Machine learning determined optimal risk thresholds; Receiver Operating Characteristic curves and Spearman (P) and Kappa (K) coefficients analyzed concurrent validity. Regression analyses evaluated participant characteristics associated with misclassification.

RESULTS

The NS metric showed fair concurrent validity (area under the curve≥0.70; K=0.35; P = 0.37, p < 0.001). The ASSIST and NS metric categorized 37% of participants as low-risk (i.e., not needing screening/intervention) and 32.3% as moderate/high-risk (i.e., needing screening/intervention). Further, 17.2% were categorized as low ASSIST risk but moderate/high NS metric risk, termed false positives. These reported disability (OR=3.12), poor general health (OR=0.66), and/or greater pain severity/interference (OR=1.12/1.09; all p < 0.05; i.e., needing unmanaged-pain screening/intervention). A total of 13.4% were categorized as moderate/high ASSIST risk but low NS metric risk, termed false negatives. These reported greater overdose history (OR=1.24) and/or substance use (OR=1.81-12.66; all p < 0.05).

CONCLUSIONS

The NS metric could serve as a useful initial universal prescription opioid-risk screener given its: 1) low-burden (i.e., no direct assessment); 2) high accuracy (86.5%) of actionable data identifying low-risk patients and those needing opioid use/unmanaged pain screening/intervention; and 3) broad availability.

The adoption of an e-learning system using information systems success model: a case study of Jazan University

BACKGROUND

The e-learning system has gained a phenomenal significance than ever before in the present COVID-19 crisis. The E-learning delivery mechanisms have evolved to enhanced levels facilitating the education delivery with greater penetration and access to mass student population worldwide. Nevertheless, there is still scope to conduct further research in order to innovate and improve higher quality delivery mechanism using the state-of-the-art information and communication technologies (ICT) available today. In the present pandemic crisis all the stakeholders in the higher education system, i.e., the governments, institutions, and the students expect seamless and efficient content delivery via e-learning platforms. This study proposes the adoption of the e-learning system by the integration of the model proposed by Delon and Mcclean "Information System Success Model" in Jazan University, Kingdom of Saudi Arabia (KSA) and further attempts to identify the factors affecting E-learning applications' success among the students.

METHODS

The data were gathered from 568 respondents. The Statistical Package for the Social Sciences version 26 (SPSS v.26.0) was used for the data analysis and one-way ANOVA is applied to test the hypothesis.

RESULT

The overall results of this study allude to the fact that there is a significant relationship between Information system Success Model factors and the adoption of e-learning systems. The research results indicated that the information system success model has a strong associating cost-benefit value towards the adoption of e-learning systems across the Jazan University that may be further expanded to the other Saudi universities.