Factors Influencing Judgments to Consult Prescription Monitoring Programs: A Factorial Survey Experiment

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.

"1,000 conversations I'd rather have than that one:" A qualitative study of prescriber experiences with opioids and the impact of a prescription drug monitoring program

BACKGROUND

Prescription Drug Monitoring Programs (PDMPs) have shown impacts on a number of opioid-related outcomes but their role in clinician emotional experience of opioid prescribing has not been studied.

OBJECTIVES

This study explores the impact of PDMPs on clinician attitudes toward and comfort with opioid prescribing, their satisfaction with patient interactions involving discussion of opioid prescriptions, and their recognition of opioid use disorder (OUD) and ability to refer patients to treatment.

METHODS

Researchers conducted semi-structured interviews with five physicians and two nurse practitioners from a variety of specialties and practice environments.

RESULTS

Many participants reported negative emotions surrounding opioid-related patient encounters, with decreased anxiety related to PDMP availability. These effects were less pronounced with clinicians who had greater opioid prescribing experience (either longer careers or higher-volume pain practices). Many participants felt uncomfortable around opioid prescribing. Data from the PDMP often changed prescribing practices, sometimes leading to greater comfort writing a prescription that might have felt riskier without PDMP data. Clinicians easily recognized patient behaviors, symptoms, and prescription requests suggesting that opioid-related adverse events were accumulating, but did not usually apply a label of OUD to these situations. PDMP findings occasionally contributed to a diagnosis and treatment referral for OUD.

CONCLUSIONS

PDMP data is part of a nuanced approach to prescribing opioids. The objectivity of the data may be helpful in mitigating clinician negative emotions that are common around opioid therapy.

How do patient, pharmacist and medication characteristics and prescription drug monitoring program alerts influence pharmacists' decisions to dispense opioids? A randomised controlled factorial experiment

BACKGROUND

Prescription drug monitoring programs (PDMP) are electronic databases that track the prescribing and dispensing of high-risk medicines such as opioids. They have the ability to provide clinicians with alerts, which identify medication-related risks, and are used to help inform decisions to supply. This study aimed to determine to what extent patient, pharmacist, and medication related characteristics and PDMP alerts influence decisions to dispense opioids and take other action, using a randomised controlled factorial design.

METHODS

Pharmacists completed an online factorial experiment, comprising six randomly generated vignettes, describing a hypothetical pharmacy patient. Pharmacists ranked the likelihood of dispensing an opioid prescription and indicated other actions, if any, they would make. Mixed-effects linear and logistical models were used to examine the association between the vignette (patient, medication and alerts), and pharmacist characteristics and the likelihood to dispense and take other actions.

RESULTS

241 pharmacists were included in the analysis (n = 1353 vignettes). The PDMP alert for high dose and multiple prescriber episodes were significant predicators of reduced likelihood to dispense, with a respective 2.73- and 4.1-unit decrease in likelihood to dispense (p < 0.001). Alerts had the strongest association with other actions such as contacting the prescriber, talking to the patient and recommending naloxone, though patient and medication characteristics including age, opioid dose, benzodiazepine use and co-morbidity were also associated with increased odds of engaging in some actions.

CONCLUSION

PDMP alerts were the most significant predictor of reduced likelihood to dispense and were associated with the greatest odds of taking other actions. Well-established risk factors such as high dose and high-risk drug combinations, in the absence of PDMP alerts, were associated with some actions, though to a lesser degree than PDMP alerts. These findings have significant policy implications and suggest PDMP alerts are a greater driver of decisions to dispense opioids and take other actions, compared with other known clinical risk factors.

Implicit and Explicit Factors That Influence Surgeons' Decision-Making for Distal Radius Fractures in Older Patients

PURPOSE

The purpose of this study was to evaluate factors that influence surgeons' decision-making in the treatment of distal radius fractures in older patients.

METHODS

Fourteen clinical vignettes of a 72-year-old patient with a distal radius fracture were sent to 185 orthopedic hand and/or trauma surgeons. The surgeons were surveyed regarding the demographic/practice details, treatment decision (surgical or nonsurgical), and factors that influenced management, including the Charlson Comorbidity Index, functional status, radiographic appearance, and handedness. Multivariable regression analyses were used to assess the effect of both surgeon-described (explicit) and given clinical (implicit) factors on the treatment decision and to evaluate for discrepancies.

RESULTS

Sixty-six surgeons completed the survey, and 7 surgeons completed 10-13 vignettes. Surgeons made the explicit determination to pursue nonsurgical treatment based on the presence of comorbidities (odds ratio [OR], 0.02 for surgery; 95% confidence interval [CI], 0.01-0.05), but the observation of the underlying clinical data suggested that the recommendation for surgical treatment was instead based on a higher functional status (OR, 3.54/increase in functional status; 95% CI, 2.52-4.98). Those employed by hospitals/health systems were significantly less likely to recommend surgery than those in private practice (OR, 0.42; 95% CI, 0.23-0.79) CONCLUSIONS: This study demonstrates that the presence of comorbidities, functional status, and practice setting has a significant impact on a surgeon's decision to treat distal radius fractures in older patients. The discrepancy between the surgeon-described factors and underlying clinical data demonstrates cognitive bias.

CLINICAL RELEVANCE

Surgeons should be aware of cognitive biases in clinical reasoning and should work through consequential patient decisions using an analytical framework that attempts to reconcile all available clinical data.

Development of a factorial survey for use in an international study examining clinicians' likelihood to support the decision to initiate invasive long-term ventilation for a child (the TechChild study)

BACKGROUND

The decision to initiate invasive long-term ventilation for a child with complex medical needs can be extremely challenging. TechChild is a research programme that aims to explore the liminal space between initial consideration of such technology dependence and the final decision. This paper presents a best practice example of the development of a unique use of the factorial survey method to identify the main influencing factors in this critical juncture in a child's care.

METHODS

We developed a within-subjects design factorial survey. In phase 1 (design) we defined the survey goal (dependent variable, mode and sample). We defined and constructed the factors and factor levels (independent variables) using previous qualitative research and existing scientific literature. We further refined these factors based on expert feedback from expert clinicians and a statistician. In phase two (pretesting), we subjected the survey tool to several iterations (cognitive interviewing, face validity testing, statistical review, usability testing). In phase three (piloting) testing focused on feasibility testing with members of the target population (n = 18). Ethical approval was obtained from the then host institution's Health Sciences Ethics Committee.

RESULTS

Initial refinement of factors was guided by literature and interviews with clinicians and grouped into four broad categories: Clinical, Child and Family, Organisational, and Professional characteristics. Extensive iterative consultations with clinical and statistical experts, including analysis of cognitive interviews, identified best practice in terms of appropriate: inclusion and order of clinical content; cognitive load and number of factors; as well as language used to suit an international audience. The pilot study confirmed feasibility of the survey. The final survey comprised a 43-item online tool including two age-based sets of clinical vignettes, eight of which were randomly presented to each participant from a total vignette population of 480.

CONCLUSIONS

This paper clearly explains the processes involved in the development of a factorial survey for the online environment that is internationally appropriate, relevant, and useful to research an increasingly important subject in modern healthcare. This paper provides a framework for researchers to apply a factorial survey approach in wider health research, making this underutilised approach more accessible to a wider audience.

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.

APRNs' controlled substance prescribing and readiness following Florida legislative changes

ABSTRACT

Two years after the Florida legislature expanded APRN prescribing to include schedule II-IV drugs in 2017, we studied APRN utilization of this prescriptive authority. Study results reveal that Florida APRNs are meeting the educational requirements to prescribe and apply the use of these drugs in practice, improving patient access to care.

Assessing Patients' Risk for Opioid Use Disorder

Opioid use disorder and opioid misuse continue to increase rapidly in prevalence in North America. Nurses play a critical role in managing pain in patients who are at risk for opioid use disorder. The interplay of pain and opioid use disorder provides nurses with an opportunity to address urgent needs while treating patients across the continuum of care. This article reviews strategies for assessing risk for opioid use disorder while treating patients with pain. Implementing these approaches into daily nursing practice may improve patient care and help reduce the incidence of opioid use disorder.