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Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis

OBJECTIVE: To study differences in glycemic control and HbA(1c) testing associated with use of secure electronic patient-provider messaging. We hypothesized that messaging use would be associated with better glycemic control and a higher rate of adherence to HbA(1c) testing recommendations. RESEARCH...

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Autores principales: Harris, Lynne T., Koepsell, Thomas D., Haneuse, Sebastien J., Martin, Diane P., Ralston, James D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747898/
https://www.ncbi.nlm.nih.gov/pubmed/23628618
http://dx.doi.org/10.2337/dc12-2003
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author Harris, Lynne T.
Koepsell, Thomas D.
Haneuse, Sebastien J.
Martin, Diane P.
Ralston, James D.
author_facet Harris, Lynne T.
Koepsell, Thomas D.
Haneuse, Sebastien J.
Martin, Diane P.
Ralston, James D.
author_sort Harris, Lynne T.
collection PubMed
description OBJECTIVE: To study differences in glycemic control and HbA(1c) testing associated with use of secure electronic patient-provider messaging. We hypothesized that messaging use would be associated with better glycemic control and a higher rate of adherence to HbA(1c) testing recommendations. RESEARCH DESIGN AND METHODS: Retrospective observational study of secure messaging at Group Health, a large nonprofit health care system. Our analysis included adults with diabetes who had registered for access to a shared electronic medical record (SMR) between 2003 and 2006. We fit log-linear regression models, using generalized estimating equations, to estimate the adjusted rate ratio of meeting three indicators of glycemic control (HbA(1c) <7%, HbA(1c) <8%, and HbA(1c) >9%) and HbA(1c) testing adherence by level of previous messaging use. Multiple imputation and inverse probability weights were used to account for missing data. RESULTS: During the study period, 6,301 adults with diabetes registered for access to the SMR. Of these individuals, 74% used messaging at least once during that time. Frequent use of messaging during the previous calendar quarter was associated with a higher rate of good glycemic control (HbA(1c) <7%: rate ratio, 1.26 [95% CI, 1.15–1.37]) and a higher rate testing adherence (1.20 [1.15–1.25]). CONCLUSIONS: Among SMR users, recent and frequent messaging use was associated with better glycemic control and a higher rate of HbA(1c) testing adherence. These results suggest that secure messaging may facilitate important processes of care and help some patients to achieve or maintain adequate glycemic control.
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spelling pubmed-37478982014-09-01 Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis Harris, Lynne T. Koepsell, Thomas D. Haneuse, Sebastien J. Martin, Diane P. Ralston, James D. Diabetes Care Original Research OBJECTIVE: To study differences in glycemic control and HbA(1c) testing associated with use of secure electronic patient-provider messaging. We hypothesized that messaging use would be associated with better glycemic control and a higher rate of adherence to HbA(1c) testing recommendations. RESEARCH DESIGN AND METHODS: Retrospective observational study of secure messaging at Group Health, a large nonprofit health care system. Our analysis included adults with diabetes who had registered for access to a shared electronic medical record (SMR) between 2003 and 2006. We fit log-linear regression models, using generalized estimating equations, to estimate the adjusted rate ratio of meeting three indicators of glycemic control (HbA(1c) <7%, HbA(1c) <8%, and HbA(1c) >9%) and HbA(1c) testing adherence by level of previous messaging use. Multiple imputation and inverse probability weights were used to account for missing data. RESULTS: During the study period, 6,301 adults with diabetes registered for access to the SMR. Of these individuals, 74% used messaging at least once during that time. Frequent use of messaging during the previous calendar quarter was associated with a higher rate of good glycemic control (HbA(1c) <7%: rate ratio, 1.26 [95% CI, 1.15–1.37]) and a higher rate testing adherence (1.20 [1.15–1.25]). CONCLUSIONS: Among SMR users, recent and frequent messaging use was associated with better glycemic control and a higher rate of HbA(1c) testing adherence. These results suggest that secure messaging may facilitate important processes of care and help some patients to achieve or maintain adequate glycemic control. American Diabetes Association 2013-09 2013-08-13 /pmc/articles/PMC3747898/ /pubmed/23628618 http://dx.doi.org/10.2337/dc12-2003 Text en © 2013 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Original Research
Harris, Lynne T.
Koepsell, Thomas D.
Haneuse, Sebastien J.
Martin, Diane P.
Ralston, James D.
Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis
title Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis
title_full Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis
title_fullStr Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis
title_full_unstemmed Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis
title_short Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record: A longitudinal analysis
title_sort glycemic control associated with secure patient-provider messaging within a shared electronic medical record: a longitudinal analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747898/
https://www.ncbi.nlm.nih.gov/pubmed/23628618
http://dx.doi.org/10.2337/dc12-2003
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