Using intervention mapping to design and implement a multicomponent intervention to improve antibiotic and NSAID prescribing.

antibiotics appropriate prescribing behavioral intervention implementation nonsteroidal anti-inflammatory drugs

Journal

Translational behavioral medicine
ISSN: 1613-9860
Titre abrégé: Transl Behav Med
Pays: England
ID NLM: 101554668

Informations de publication

Date de publication:
19 Oct 2023
Historique:
medline: 20 10 2023
pubmed: 20 10 2023
entrez: 19 10 2023
Statut: aheadofprint

Résumé

Successfully changing prescribing behavior to reduce inappropriate antibiotic and nonsteroidal anti-inflammatory drug (NSAID) prescriptions often requires combining components into a multicomponent intervention. However, multicomponent interventions often fail because of development and implementation complexity. To increase the likelihood of successfully changing prescribing behavior, we applied a systematic process to design and implement a multicomponent intervention. We used Intervention Mapping to create a roadmap for a multicomponent intervention in unscheduled outpatient care settings in the Veterans Health Administration. Intervention Mapping is a systematic process consisting of six steps that we grouped into three phases: (i) understand behavioral determinants and barriers to implementation, (ii) develop the intervention, and (iii) define evaluation plan and implementation strategies. A targeted literature review, combined with 25 prescriber and 25 stakeholder interviews, helped identify key behavioral determinants to inappropriate prescribing (e.g. perceived social pressure from patients to prescribe). We targeted three desired prescriber behaviors: (i) review guideline-concordant prescribing and patient outcomes, (ii) manage diagnostic and treatment uncertainty, and (iii) educate patients and caregivers. The intervention consisted of components for academic detailing, prescribing feedback, and alternative prescription order sets. Implementation strategies consisted of preparing clinical champions, conducting readiness assessments, and incentivizing use of the intervention. We chose a mixed-method study design with a commonly used evaluation framework to assess effectiveness and implementation outcomes in a subsequent trial. This study furthers knowledge about causes of inappropriate antibiotic and NSAID prescribing and demonstrates how theoretical, empirical, and practical information can be systematically applied to develop a multicomponent intervention to help address these causes. Reducing adverse drug events from antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) is a patient safety priority. Successfully changing prescribing behavior to reduce inappropriate prescriptions can require combining intervention components, each with different mechanisms for behavior change, into a multicomponent intervention. However, multicomponent interventions often fail because of development and implementation complexity. To increase the chance of successfully changing antibiotic and NSAID prescribing, the objective this study was to apply a systematic process to design and implement a multicomponent intervention. Three desired prescriber behaviors were targeted: (i) review guideline-concordant prescribing and patient outcomes, (ii) manage diagnostic and treatment uncertainty, and (iii) educate patients and caregivers. The designed intervention consisted of components for prescribing feedback, academic detailing, and alternative prescription order sets. Strategies to improve use of the intervention consisted of preparing clinical champions, conducting readiness assessments prior to study onset, and incentivizing use of the intervention. We chose a mixed-method study design with a commonly used evaluation framework to assess effectiveness and implementation outcomes of the multicomponent intervention in a subsequent trial.

Autres résumés

Type: plain-language-summary (eng)
Reducing adverse drug events from antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) is a patient safety priority. Successfully changing prescribing behavior to reduce inappropriate prescriptions can require combining intervention components, each with different mechanisms for behavior change, into a multicomponent intervention. However, multicomponent interventions often fail because of development and implementation complexity. To increase the chance of successfully changing antibiotic and NSAID prescribing, the objective this study was to apply a systematic process to design and implement a multicomponent intervention. Three desired prescriber behaviors were targeted: (i) review guideline-concordant prescribing and patient outcomes, (ii) manage diagnostic and treatment uncertainty, and (iii) educate patients and caregivers. The designed intervention consisted of components for prescribing feedback, academic detailing, and alternative prescription order sets. Strategies to improve use of the intervention consisted of preparing clinical champions, conducting readiness assessments prior to study onset, and incentivizing use of the intervention. We chose a mixed-method study design with a commonly used evaluation framework to assess effectiveness and implementation outcomes of the multicomponent intervention in a subsequent trial.

Identifiants

pubmed: 37857368
pii: 7324744
doi: 10.1093/tbm/ibad063
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Veteran Affairs
ID : I01HX003057

Informations de copyright

Published by Oxford University Press on behalf of the Society of Behavioral Medicine 2023.

Auteurs

Thomas J Reese (TJ)

VA Tennessee Valley Healthcare System, 1310 24th ave S 37212, USA.
Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1475, 37203, USA.

Amanda S Mixon (AS)

VA Tennessee Valley Healthcare System, 1310 24th ave S 37212, USA.
Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1475, 37203, USA.
Department of Medicine, Vanderbilt University Medical Center, 1161 21st Ave S 37232, USA.

Michael E Matheny (ME)

VA Tennessee Valley Healthcare System, 1310 24th ave S 37212, USA.
Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1475, 37203, USA.
Department of Biostatistics, Vanderbilt University Medical Center, 2525 West End Avenue, Sute 1100 37203, USA.

Christina N Flatt (CN)

Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1475, 37203, USA.

Melissa Rubenstein (M)

Department of Emergency Medicine, Vanderbilt University Medical Center, 2215 Garland Ave 27232, USA.

Jin H Han (JH)

Department of Emergency Medicine, Vanderbilt University Medical Center, 2215 Garland Ave 27232, USA.
Geriatric Research, Education, and Clinical Center, Tennessee Valley Healthcare System, 1310 24th ave S 37212, USA.

Jesse Wrenn (J)

Department of Emergency Medicine, Vanderbilt University Medical Center, 2215 Garland Ave 27232, USA.

Chloe Dagostino (C)

Vanderbilt Center for Health Services Research, 1211 Medical Center Drive 37232, USA.

Kemberlee Bonnet (K)

Vanderbilt Center for Health Services Research, 1211 Medical Center Drive 37232, USA.

Shilo Anders (S)

Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1475, 37203, USA.
Department of Anesthesiology, Vanderbilt University Medical Center, 1211 Medical Center Drive 37232, USA.

David Schlundt (D)

Vanderbilt Center for Health Services Research, 1211 Medical Center Drive 37232, USA.

Michael J Ward (MJ)

VA Tennessee Valley Healthcare System, 1310 24th ave S 37212, USA.
Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1475, 37203, USA.
Department of Emergency Medicine, Vanderbilt University Medical Center, 2215 Garland Ave 27232, USA.

Classifications MeSH