Glycemic Control Associated With Secure Patient-Provider Messaging Within a Shared Electronic Medical Record

OBJECTIVE To study differences in glycemic control and HbA1c 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 HbA1c 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 (HbA1c <7%, HbA1c <8%, and HbA1c >9%) and HbA1c 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 (HbA1c <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 HbA1c 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.

[1]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[2]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[3]  D. Rubin Multiple imputation for nonresponse in surveys , 1989 .

[4]  D M Steinwachs,et al.  Development and Application of a Population-Oriented Measure of Ambulatory Care Case-Mix , 1991, Medical care.

[5]  J. Iglehart,et al.  The National Committee for Quality Assurance. , 1996, The New England journal of medicine.

[6]  Brian T. Austin,et al.  Organizing care for patients with chronic illness. , 1996, The Milbank quarterly.

[7]  J. Robins,et al.  Marginal Structural Models and Causal Inference in Epidemiology , 2000, Epidemiology.

[8]  Brian T. Austin,et al.  Improving chronic illness care: translating evidence into action. , 2001, Health affairs.

[9]  M. Harris,et al.  Racial and ethnic differences in health care access and health outcomes for adults with type 2 diabetes. , 2001, Diabetes care.

[10]  Irl B Hirsch,et al.  Using an Internet comanagement module to improve the quality of chronic disease care. , 2003, Joint Commission journal on quality and safety.

[11]  A. Barros,et al.  BMC Medical Research Methodology , 2003 .

[12]  G. Zou,et al.  A modified poisson regression approach to prospective studies with binary data. , 2004, American journal of epidemiology.

[13]  B. McDowell,et al.  National Committee for Quality Assurance. , 2004, Social work.

[14]  Per Egil Kummervold,et al.  Electronic patient-provider communication: Will it offset office visits and telephone consultations in primary care? , 2005, Int. J. Medical Informatics.

[15]  David Carrell,et al.  Messages, Strands and Threads: Measuring Use of Electronic Patient-Provider Messaging , 2005, AMIA.

[16]  T. Houston,et al.  Patient Access to U.S. Physicians Who Conduct Internet or E-mail Consults , 2007, Journal of General Internal Medicine.

[17]  Bradford W Hesse,et al.  Use of the Internet to Communicate with Health Care Providers in the United States: Estimates from the 2003 and 2005 Health Information National Trends Surveys (HINTS) , 2007, Journal of medical Internet research.

[18]  David Carrell,et al.  Research Paper: Patient Web Services Integrated with a Shared Medical Record: Patient Use and Satisfaction , 2007, J. Am. Medical Informatics Assoc..

[19]  J. Deddens,et al.  A comparison of two methods for estimating prevalence ratios , 2008, BMC medical research methodology.

[20]  W. Katon,et al.  Diabetes complications severity index and risk of mortality, hospitalization, and healthcare utilization. , 2008, The American journal of managed care.

[21]  Gregory E. Simon,et al.  Patient Use of Secure Electronic Messaging Within a Shared Medical Record: A Cross-sectional Study , 2009, Journal of General Internal Medicine.

[22]  James D. Ralston,et al.  Web-Based Collaborative Care for Type 2 Diabetes , 2009, Diabetes Care.

[23]  James D. Ralston,et al.  Diabetes Quality of Care and Outpatient Utilization Associated With Electronic Patient-Provider Messaging: A Cross-Sectional Analysis , 2009, Diabetes Care.

[24]  Irl B Hirsch,et al.  Web-based collaborative care for type 1 diabetes: a pilot randomized trial. , 2009, Diabetes technology & therapeutics.

[25]  T. Koepsell,et al.  Use of a Shared Medical Record With Secure Messaging by Older Patients With Diabetes , 2010, Diabetes Care.

[26]  Valarie Blue Bird Jernigan,et al.  Online Diabetes Self-Management Program , 2010, Diabetes Care.

[27]  H. Wittchen,et al.  Diabetes in Primary Care: Prospective Associations between Depression, Nonadherence and Glycemic Control , 2010, Psychotherapy and Psychosomatics.

[28]  Terhilda Garrido,et al.  Improved quality at Kaiser Permanente through e-mail between physicians and patients. , 2010, Health affairs.

[29]  Executive Summary: Standards of Medical Care in Diabetes—2012 , 2011, Diabetes Care.

[30]  D. Baer,et al.  Patient-physician e-mail communication: the kaiser permanente experience. , 2011, Journal of oncology practice.

[31]  W. Coutinho,et al.  Depression, glycemic control and type 2 diabetes , 2011, Diabetology & metabolic syndrome.

[32]  C. Bredfeldt,et al.  Effects of between visit physician-patient communication on Diabetes Recognition Program scores. , 2011, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[33]  Lisa N Yelland,et al.  Performance of the modified Poisson regression approach for estimating relative risks from clustered prospective data. , 2011, American journal of epidemiology.

[34]  Courtney R Lyles,et al.  Patient Race/Ethnicity and Shared Medical Record Use Among Diabetes Patients , 2012, Medical care.

[35]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .