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Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module
BACKGROUND: Current guidelines recommend less aggressive target hemoglobin A1c (HbA1c) levels based on older age and lower life expectancy for older adults with diabetes. The effectiveness of electronic health record (EHR) clinical decision support (CDS) in promoting guideline adherence is undermine...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381676/ https://www.ncbi.nlm.nih.gov/pubmed/30820339 http://dx.doi.org/10.1186/s40814-019-0403-z |
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author | Chokshi, Sara Kuppin Belli, Hayley M. Troxel, Andrea B. Blecker, Saul Blaum, Caroline Testa, Paul Mann, Devin |
author_facet | Chokshi, Sara Kuppin Belli, Hayley M. Troxel, Andrea B. Blecker, Saul Blaum, Caroline Testa, Paul Mann, Devin |
author_sort | Chokshi, Sara Kuppin |
collection | PubMed |
description | BACKGROUND: Current guidelines recommend less aggressive target hemoglobin A1c (HbA1c) levels based on older age and lower life expectancy for older adults with diabetes. The effectiveness of electronic health record (EHR) clinical decision support (CDS) in promoting guideline adherence is undermined by alert fatigue and poor workflow integration. Integrating behavioral economics (BE) and CDS tools is a novel approach to improving adherence to guidelines while minimizing clinician burden. METHODS: We will apply a systematic, user-centered design approach to incorporate BE “nudges” into a CDS module and will perform user testing in two “vanguard” sites. To accomplish this, we will conduct (1) semi-structured interviews with key informants (n = 8), (2) a 2-h, design-thinking workshop to derive and refine initial module ideas, and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on three proposed nudge module components (navigator section, inbasket refill protocol, medication preference list). Detailed field notes will be summarized by module idea and usability theme for rapid iteration. Frequency of firing and user action taken will be assessed in the first month of implementation via EHR reporting to confirm that module components and related reporting are working as expected as well as assess utilization. To assess the utilization and feasibility of the new tools and generate estimates of clinician compliance with the Choosing Wisely guideline for diabetes management in older adults, a 6-month, single-arm pilot study of the BE-EHR module will be conducted in six outpatient primary care clinics. DISCUSSION: We hypothesize that a low burden, user-centered approach to design will yield a BE-driven, CDS module with relatively high utilization by clinicians. The resulting module will establish a platform for exploring the ability of BE concepts embedded within the EHR to affect guideline adherence for other use cases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40814-019-0403-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6381676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63816762019-02-28 Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module Chokshi, Sara Kuppin Belli, Hayley M. Troxel, Andrea B. Blecker, Saul Blaum, Caroline Testa, Paul Mann, Devin Pilot Feasibility Stud Study Protocol BACKGROUND: Current guidelines recommend less aggressive target hemoglobin A1c (HbA1c) levels based on older age and lower life expectancy for older adults with diabetes. The effectiveness of electronic health record (EHR) clinical decision support (CDS) in promoting guideline adherence is undermined by alert fatigue and poor workflow integration. Integrating behavioral economics (BE) and CDS tools is a novel approach to improving adherence to guidelines while minimizing clinician burden. METHODS: We will apply a systematic, user-centered design approach to incorporate BE “nudges” into a CDS module and will perform user testing in two “vanguard” sites. To accomplish this, we will conduct (1) semi-structured interviews with key informants (n = 8), (2) a 2-h, design-thinking workshop to derive and refine initial module ideas, and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on three proposed nudge module components (navigator section, inbasket refill protocol, medication preference list). Detailed field notes will be summarized by module idea and usability theme for rapid iteration. Frequency of firing and user action taken will be assessed in the first month of implementation via EHR reporting to confirm that module components and related reporting are working as expected as well as assess utilization. To assess the utilization and feasibility of the new tools and generate estimates of clinician compliance with the Choosing Wisely guideline for diabetes management in older adults, a 6-month, single-arm pilot study of the BE-EHR module will be conducted in six outpatient primary care clinics. DISCUSSION: We hypothesize that a low burden, user-centered approach to design will yield a BE-driven, CDS module with relatively high utilization by clinicians. The resulting module will establish a platform for exploring the ability of BE concepts embedded within the EHR to affect guideline adherence for other use cases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40814-019-0403-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-20 /pmc/articles/PMC6381676/ /pubmed/30820339 http://dx.doi.org/10.1186/s40814-019-0403-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Chokshi, Sara Kuppin Belli, Hayley M. Troxel, Andrea B. Blecker, Saul Blaum, Caroline Testa, Paul Mann, Devin Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module |
title | Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module |
title_full | Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module |
title_fullStr | Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module |
title_full_unstemmed | Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module |
title_short | Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module |
title_sort | designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381676/ https://www.ncbi.nlm.nih.gov/pubmed/30820339 http://dx.doi.org/10.1186/s40814-019-0403-z |
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