Designing audit and feedback dashboards for dentists to monitor their opioid prescribing.

Analgesics Dental informatics Evidence-based dentistry Opioid Patient reported outcome measures Quality improvement User-centered design

Journal

International journal of medical informatics
ISSN: 1872-8243
Titre abrégé: Int J Med Inform
Pays: Ireland
ID NLM: 9711057

Informations de publication

Date de publication:
08 2023
Historique:
received: 06 10 2022
revised: 28 02 2023
accepted: 06 05 2023
medline: 13 6 2023
pubmed: 3 6 2023
entrez: 2 6 2023
Statut: ppublish

Résumé

Prescription drug abuse is a major factor leading to drug overdose deaths in the US and dentists are one of the leading prescribers of opioid pain medication. Knowing that Audit & Feedback (A&F) dashboards are an effective tool and are used as quality improvement interventions, we aimed to develop such dashboards personalized for dental providers which could allow them to monitor their own opioid prescribing performance. In this paper we report on the process for designing the A&F dashboards for dentists which were developed by using an iterative human-centered design process. The results obtained from each iteration were used to enrich the information needs analyses, provide function testing, and guide the design decisions of the next iteration. Engaging dentists in the development and refinement of the dashboards while using the think-aloud protocol for user-testing, provided rapid feedback and identified areas that were confusing and needed either a redesign or additional explanatory content. The final version of dashboards consisted of displaying necessary information through easy to interpret visualizations and interactive features. These included providing access to current national and organizational prescribing guidelines, displaying changes in individual prescribing behavior over time, comparing individual prescribing rate to peer group rate and target rate, displaying procedure specific prescribing, integrating patient reported post-operative dental pain experience and providing navigation and interpretation tips for users. The dashboards were easy to learn and understand for the dentists and were deemed as worth using often in dental practice. Our research was able to demonstrate the creation of useful and usable A&F dashboards using data from electronic dental records and patient surveys, for dentists to effectively monitor their opioid prescribing behavior. Efficacy of the dashboards will be tested in future work.

Sections du résumé

BACKGROUND AND OBJECTIVE
Prescription drug abuse is a major factor leading to drug overdose deaths in the US and dentists are one of the leading prescribers of opioid pain medication. Knowing that Audit & Feedback (A&F) dashboards are an effective tool and are used as quality improvement interventions, we aimed to develop such dashboards personalized for dental providers which could allow them to monitor their own opioid prescribing performance.
METHODS
In this paper we report on the process for designing the A&F dashboards for dentists which were developed by using an iterative human-centered design process. The results obtained from each iteration were used to enrich the information needs analyses, provide function testing, and guide the design decisions of the next iteration.
RESULTS
Engaging dentists in the development and refinement of the dashboards while using the think-aloud protocol for user-testing, provided rapid feedback and identified areas that were confusing and needed either a redesign or additional explanatory content. The final version of dashboards consisted of displaying necessary information through easy to interpret visualizations and interactive features. These included providing access to current national and organizational prescribing guidelines, displaying changes in individual prescribing behavior over time, comparing individual prescribing rate to peer group rate and target rate, displaying procedure specific prescribing, integrating patient reported post-operative dental pain experience and providing navigation and interpretation tips for users. The dashboards were easy to learn and understand for the dentists and were deemed as worth using often in dental practice.
CONCLUSION
Our research was able to demonstrate the creation of useful and usable A&F dashboards using data from electronic dental records and patient surveys, for dentists to effectively monitor their opioid prescribing behavior. Efficacy of the dashboards will be tested in future work.

Identifiants

pubmed: 37267811
pii: S1386-5056(23)00110-7
doi: 10.1016/j.ijmedinf.2023.105092
pii:
doi:

Substances chimiques

Analgesics, Opioid 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105092

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sayali Tungare (S)

The University of Texas Health Science Center at Houston (UTHealth Houston) School of Dentistry, 7500 Cambridge St, Houston, TX 77054, United States.

Swaroop Gantela (S)

The University of Texas Health Science Center at Houston (UTHealth Houston) School of Biomedical Informatics, 7000 Fannin St Suite 600, Houston, TX 77030, United States.

Krishna Kumar Kookal (KK)

The University of Texas Health Science Center at Houston (UTHealth Houston) School of Dentistry, 7500 Cambridge St, Houston, TX 77054, United States.

Alfa-Ibrahim Yansane (AI)

The University of California San Francisco School of Dentistry, 707 Parnassus Ave, San Francisco, CA 94143, United States.

Emily Sedlock (E)

The University of Texas Health Science Center at Houston (UTHealth Houston) School of Dentistry, 7500 Cambridge St, Houston, TX 77054, United States.

Arthur Jeske (A)

The University of Texas Health Science Center at Houston (UTHealth Houston) School of Dentistry, 7500 Cambridge St, Houston, TX 77054, United States.

Todd Johnson (T)

The University of Texas Health Science Center at Houston (UTHealth Houston) School of Biomedical Informatics, 7000 Fannin St Suite 600, Houston, TX 77030, United States.

Muhammad Walji (M)

The University of Texas Health Science Center at Houston (UTHealth Houston) School of Dentistry, 7500 Cambridge St, Houston, TX 77054, United States. Electronic address: Muhammad.F.Walji@uth.tmc.edu.

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