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Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis

BACKGROUND: Measuring and reporting outcome data is fundamental for health care systems to drive improvement. Our electronic health record built a dashboard that allows each primary care provider (PCP) to view real-time population health quality data of their patient panel and use that information t...

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Autores principales: Twohig, Patrick A., Rivington, Jaclyn R., Gunzler, Douglas, Daprano, Joseph, Margolius, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6621998/
https://www.ncbi.nlm.nih.gov/pubmed/31296211
http://dx.doi.org/10.1186/s12913-019-4327-3
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author Twohig, Patrick A.
Rivington, Jaclyn R.
Gunzler, Douglas
Daprano, Joseph
Margolius, David
author_facet Twohig, Patrick A.
Rivington, Jaclyn R.
Gunzler, Douglas
Daprano, Joseph
Margolius, David
author_sort Twohig, Patrick A.
collection PubMed
description BACKGROUND: Measuring and reporting outcome data is fundamental for health care systems to drive improvement. Our electronic health record built a dashboard that allows each primary care provider (PCP) to view real-time population health quality data of their patient panel and use that information to identify care gaps. We hypothesized that the number of dashboard views would be positively associated with clinical quality improvement. METHODS: We performed a retrospective analysis of change in quality scores compared to number of dashboard views for each PCP over a five-month period (2017–18). Using the manager dashboard, we recorded the number of views for each provider. The quality scores analyzed were: colorectal cancer (CRC) screening rates and diabetic patients with an A1c greater than 9% or no A1c in the past year. RESULTS: Data from 120 PCPs were included. The number of dashboard views by each PCP ranged from 0 to 222. Thirty-one PCPs (25.8%) did not view their dashboard. We found no significant correlation between views and change in quality scores (correlation coefficient = 0.06, 95% CI [− 0.13, 0.25] and − 0.05, 95% CI [− 0.25, 0.14] for CRC and diabetes, respectively). CONCLUSION: Clinical dashboards provide feedback to PCPs and are likely to become more available as healthcare systems continue to focus on improving population health. However, dashboards on their own may not be sufficient to impact clinical quality improvement. Dashboard viewership did not appear to impact clinician performance on quality metrics.
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spelling pubmed-66219982019-07-22 Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis Twohig, Patrick A. Rivington, Jaclyn R. Gunzler, Douglas Daprano, Joseph Margolius, David BMC Health Serv Res Research Article BACKGROUND: Measuring and reporting outcome data is fundamental for health care systems to drive improvement. Our electronic health record built a dashboard that allows each primary care provider (PCP) to view real-time population health quality data of their patient panel and use that information to identify care gaps. We hypothesized that the number of dashboard views would be positively associated with clinical quality improvement. METHODS: We performed a retrospective analysis of change in quality scores compared to number of dashboard views for each PCP over a five-month period (2017–18). Using the manager dashboard, we recorded the number of views for each provider. The quality scores analyzed were: colorectal cancer (CRC) screening rates and diabetic patients with an A1c greater than 9% or no A1c in the past year. RESULTS: Data from 120 PCPs were included. The number of dashboard views by each PCP ranged from 0 to 222. Thirty-one PCPs (25.8%) did not view their dashboard. We found no significant correlation between views and change in quality scores (correlation coefficient = 0.06, 95% CI [− 0.13, 0.25] and − 0.05, 95% CI [− 0.25, 0.14] for CRC and diabetes, respectively). CONCLUSION: Clinical dashboards provide feedback to PCPs and are likely to become more available as healthcare systems continue to focus on improving population health. However, dashboards on their own may not be sufficient to impact clinical quality improvement. Dashboard viewership did not appear to impact clinician performance on quality metrics. BioMed Central 2019-07-11 /pmc/articles/PMC6621998/ /pubmed/31296211 http://dx.doi.org/10.1186/s12913-019-4327-3 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 Research Article
Twohig, Patrick A.
Rivington, Jaclyn R.
Gunzler, Douglas
Daprano, Joseph
Margolius, David
Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis
title Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis
title_full Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis
title_fullStr Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis
title_full_unstemmed Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis
title_short Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis
title_sort clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6621998/
https://www.ncbi.nlm.nih.gov/pubmed/31296211
http://dx.doi.org/10.1186/s12913-019-4327-3
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