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A Quality Improvement Project to Investigate Individual Provider Variation in Opioid Prescribing From the Emergency Department

23. Juni 2017 aktualisiert von: Sean Michael, University of Massachusetts, Worcester
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.

Studienübersicht

Detaillierte Beschreibung

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).

Studientyp

Interventionell

Einschreibung (Tatsächlich)

109

Phase

  • Unzutreffend

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienorte

    • Massachusetts
      • Clinton, Massachusetts, Vereinigte Staaten
        • UMass Clinton Hospital
      • Marlborough, Massachusetts, Vereinigte Staaten
        • UMass Memorial Marlborough Hospital
      • Worcester, Massachusetts, Vereinigte Staaten
        • UMass Memorial Medical Center

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Kind
  • Erwachsene
  • Älterer Erwachsener

Akzeptiert gesunde Freiwillige

Nein

Studienberechtigte Geschlechter

Alle

Beschreibung

Inclusion Criteria:

  • Provider who practices Emergency Medicine in one or more of four UMass-affiliated EDs (UMassMemorial Medical Center, Marlborough Hospital, and Clinton Hospital), including attending physicians, resident physicians, and advanced practice providers (PAs and NPs).
  • Have placed at least one electronic prescription for a medication of interest (namely opioids) in the PulseCheck electronic medical record system during the 12 months prior to the implementation of the opioid guidelines
  • Be actively practicing in a UMass-affiliated ED at time of implementation of the guidelines

Exclusion Criteria:

  • None

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

  • Hauptzweck: Versorgungsforschung
  • Zuteilung: Zufällig
  • Interventionsmodell: Parallele Zuordnung
  • Maskierung: Keine (Offenes Etikett)

Waffen und Interventionen

Teilnehmergruppe / Arm
Intervention / Behandlung
Kein Eingriff: Control
Providers who are subject only to the routine implementation of clinical practice guidelines without additional experimental intervention
Experimental: Intervention
Providers who are subject to routine clinical practice guideline implementation AND receive provider's own individual prescribing data profile intervention ("Individual prescribing data profile and self-assessment")
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.

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Zeitfenster
Change in number of opioid prescriptions per hundred patients seen
Zeitfenster: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Zeitfenster
Change in percentage of total prescriptions written that are opioids
Zeitfenster: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Change in median quantity of pills dispensed per opioid prescription
Zeitfenster: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Change in number of prescriptions for long-acting opioid formulations
Zeitfenster: Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention
Pre-intervention baseline compared to 1, 2, 3, 6, 9, 12 months post-intervention

Andere Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Self-assessment of decile for number of opioid prescriptions per hundred patients seen
Zeitfenster: Once, at time of enrollment
The provider's self-assessment of their decile of number of opioid prescriptions per hundred patients seen, compared to their peers
Once, at time of enrollment
Self-assessment of decile for percentage of total prescriptions written that are opioids
Zeitfenster: Once, at time of enrollment
The provider's self-assessment of their decile of their percentage of total prescriptions written that are opioids, compared to their peers
Once, at time of enrollment
Self-assessment of decile for median quantity of pills dispensed per opioid prescription
Zeitfenster: Once, at time of enrollment
The provider's self-assessment of their decile of their median quantity of pills dispensed per opioid prescription, compared to their peers
Once, at time of enrollment
Self-assessment of decile for number of prescriptions for long-acting opioid formulations
Zeitfenster: Once, at time of enrollment
The provider's self-assessment of their decile of their number of prescriptions for long-acting opioid formulations, compared to their peers
Once, at time of enrollment

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Ermittler

  • Hauptermittler: Sean Michael, MD, UMass Memorial Health Care

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Tatsächlich)

1. Februar 2016

Primärer Abschluss (Tatsächlich)

1. März 2017

Studienabschluss (Tatsächlich)

1. März 2017

Studienanmeldedaten

Zuerst eingereicht

20. Januar 2016

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

22. Januar 2016

Zuerst gepostet (Schätzen)

27. Januar 2016

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

27. Juni 2017

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

23. Juni 2017

Zuletzt verifiziert

1. Juni 2017

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Schlüsselwörter

Zusätzliche relevante MeSH-Bedingungen

Andere Studien-ID-Nummern

  • H00009241

Plan für individuelle Teilnehmerdaten (IPD)

Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?

NEIN

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