This is a study of emergency physicians' prescribing patterns related to opioid (narcotic) medications. We are trying to determine whether giving providers access to their own prescribing data influences their prescribing patterns.
Opioid misuse is a known public safety threat and public health problem, both nationwide and in the Commonwealth of Massachusetts. As a part of these efforts, Emergency Department (ED) outpatient prescriptions have been identified as a potential area for improvement. The Massachusetts Hospital Association (MHA), in conjunction with other stakeholders, developed a set of recommendations to address opioid management and prescribing within the ED setting. This study is timed to coincide with the rollout by UMassMemorial Health Care of a system-wide opioid prescribing practice guideline/policy which mirrors the Massachusetts Hospital Association's guideline. This rollout provides a unique opportunity for a natural experiment related to provider prescribing practices. This is a quality improvement project with two primary objectives: * Improve understanding of physician practice patterns related to emergency department (ED) opioid prescribing * Evaluate the effectiveness of providing individual clinician profile data in influencing behavior change among ED providers, as it relates to their opioid prescribing patterns There are two corresponding specific aims: * Quantitatively describe the current state of opioid prescribing by ED clinicians at four UMass Memorial EDs (using prescriptions generated within the ED electronic health information system between February 2014 and the study implementation date). Descriptive statistics being considered for feasibility of study include: * Number of opioid prescriptions per hundred patients seen * Percentage of total prescriptions written that are opioids * Mean or median quantity of pills dispensed per opioid prescription * Number of prescriptions for long-acting opioid formulations * Evaluate the effect on prescribing practices of providing individual clinicians with their profile data to illustrate their personal opioid prescribing patterns, relative to the de-identified distribution for all other clinicians in the ED group This project is timed to coincide with the separately planned implementation of a system-wide opioid prescribing guideline. The guideline implementation is an independent event, but we feel that it presents a unique opportunity for a simultaneous experimental intervention to assess whether providing clinicians with their individual data alters their prescribing practices beyond any effect achieved simply by being subject to the new guideline. Data collected from the electronic medical record and clinician self-reported data about their perceptions of their prescribing practices will be used to evaluate both the effect of the guideline implementation (i.e. comparison of prescribing patterns for all clinicians before and after guideline implementation) and the combined effect of guideline implementation plus individual profile intervention (i.e. comparisons across intervention versus control groups).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
109
Prior to receiving his or her individual data profile, each provider in the intervention group will be asked to identify his or her self-assessment of his or her own opioid prescribing practices. Immediately after providing self-perception data, providers will be provided with their true profile data with a visual display of where they fall within the distribution of their peers. All peer data are de-identified.
UMass Clinton Hospital
Clinton, Massachusetts, United States
UMass Memorial Marlborough Hospital
Marlborough, Massachusetts, United States
UMass Memorial Medical Center
Worcester, Massachusetts, United States
Change in number of opioid prescriptions per hundred patients seen
Time frame: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Change in percentage of total prescriptions written that are opioids
Time frame: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Change in median quantity of pills dispensed per opioid prescription
Time frame: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Change in number of prescriptions for long-acting opioid formulations
Time frame: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
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