Skip to main content
Top
Published in: Journal of General Internal Medicine 4/2012

01-04-2012 | Original Research

The Association Between Personal Health Record Use and Diabetes Quality Measures

Authors: Mark Tenforde, MD, MPH, Amy Nowacki, PhD, Anil Jain, MD, John Hickner, MD, MSc

Published in: Journal of General Internal Medicine | Issue 4/2012

Login to get access

Abstract

Background

Electronic personal health records (PHRs) have the potential to empower patients in self-management of chronic diseases, which should lead to improved outcomes.

Objective

To measure the association between use of an advanced electronic medical record-linked PHR and diabetes quality measures in adults with diabetes mellitus (DM).

Design

Retrospective audit of PHR use and multivariable regression analyses.

Patients

10,746 adults 18–75-years of age with DM seen at least twice at the office of their primary care physician at the Cleveland Clinic from July 2008 through June 2009.

Main Measures

PHR use was measured as number of use days. Diabetes quality measures were: hemoglobin A1c (HbA1c), LDL cholesterol, blood pressure, body mass index (BMI), HbA1c testing, ACEi/ARB use and/or microalbumin testing, pneumococcal vaccination, foot and dilated eye examination, and smoking status.

Key Results

Compared to non-users, PHR users were younger, had higher incomes and educational attainment, were more likely to identify as Caucasian, and had better unadjusted and adjusted diabetes quality measure profiles. Adjusted odds ratio of HbA1c testing was 2.06 (p < 0.01) and most recent HbA1c was 0.29% lower (p < 0.01). Among PHR users, increasing number of login days was generally not associated with more favorable diabetes quality measure profiles.

Conclusions

PHR use, but not intensity of use, was associated with improved diabetes quality measure profiles. It is likely that better diabetes profiles among PHR users is due to higher level of engagement with their health among those registered for the PHR rather than PHR use itself. PHR use was infrequent. To maximize value, next-generation PHRs must be designed to engage patients in everyday diabetes self-management.
Literature
1.
go back to reference American Diabetes Association. Economic costs of diabetes in the U.S. In 2007. Diabetes Care. 2008;31(3):596–615.CrossRef American Diabetes Association. Economic costs of diabetes in the U.S. In 2007. Diabetes Care. 2008;31(3):596–615.CrossRef
2.
go back to reference Pagliari C, Detmer D, Singleton P. Potential of electronic personal health records. BMJ. 2007; 335(7615):330-3. Pagliari C, Detmer D, Singleton P. Potential of electronic personal health records. BMJ. 2007; 335(7615):330-3.
3.
go back to reference Tenforde M, Jain A, Hickner J. The value of personal health records for chronic disease management: what do we know? Fam Med. 2011 May;43(5):351–4.PubMed Tenforde M, Jain A, Hickner J. The value of personal health records for chronic disease management: what do we know? Fam Med. 2011 May;43(5):351–4.PubMed
4.
go back to reference Grant RW, Wald JS, Schnipper JL, et al. Practice-linked online personal health records for type 2 diabetes mellitus: A randomized controlled trial. Arch Intern Med. 2008;168(16):1776–82.PubMedCrossRef Grant RW, Wald JS, Schnipper JL, et al. Practice-linked online personal health records for type 2 diabetes mellitus: A randomized controlled trial. Arch Intern Med. 2008;168(16):1776–82.PubMedCrossRef
5.
go back to reference Holbrook A, Thabane L, Keshavjee K, et al. Individualized electronic decision support and reminders to improve diabetes care in the community: COMPETE II randomized trial. CMAJ. 2009;181(1–2):37–44.PubMed Holbrook A, Thabane L, Keshavjee K, et al. Individualized electronic decision support and reminders to improve diabetes care in the community: COMPETE II randomized trial. CMAJ. 2009;181(1–2):37–44.PubMed
6.
go back to reference Ralston JD, Hirsch IB, Hoath J, Mullen M, Cheadle A, Goldberg HI. Web-based collaborative care for type 2 diabetes: A pilot randomized trial. Diabetes Care. 2009;32(2):234–9.PubMedCrossRef Ralston JD, Hirsch IB, Hoath J, Mullen M, Cheadle A, Goldberg HI. Web-based collaborative care for type 2 diabetes: A pilot randomized trial. Diabetes Care. 2009;32(2):234–9.PubMedCrossRef
7.
go back to reference Goel MS, Brown TL, Williams A, Hasnain-Wynia R, Thompson JA, Baker DW. Disparities in enrollment and use of an electronic patient portal. J Gen Intern Med. 2011 Goel MS, Brown TL, Williams A, Hasnain-Wynia R, Thompson JA, Baker DW. Disparities in enrollment and use of an electronic patient portal. J Gen Intern Med. 2011
8.
go back to reference Yamin CK, Emani S, Williams DH, et al. The digital divide in adoption and use of a personal health record. Arch Intern Med. 2011;171(6):568–74.PubMedCrossRef Yamin CK, Emani S, Williams DH, et al. The digital divide in adoption and use of a personal health record. Arch Intern Med. 2011;171(6):568–74.PubMedCrossRef
9.
go back to reference Brennan PF, Downs S, Casper G. Project HealthDesign: Rethinking the power and potential of personal health records. J Biomed Inform. 2010; 43(5): S3-5.PubMedCrossRef Brennan PF, Downs S, Casper G. Project HealthDesign: Rethinking the power and potential of personal health records. J Biomed Inform. 2010; 43(5): S3-5.PubMedCrossRef
Metadata
Title
The Association Between Personal Health Record Use and Diabetes Quality Measures
Authors
Mark Tenforde, MD, MPH
Amy Nowacki, PhD
Anil Jain, MD
John Hickner, MD, MSc
Publication date
01-04-2012
Publisher
Springer-Verlag
Published in
Journal of General Internal Medicine / Issue 4/2012
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-011-1889-0

Other articles of this Issue 4/2012

Journal of General Internal Medicine 4/2012 Go to the issue

Healing Arts: Materia Medica

Natural Causes

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine