Using electronic medical records analysis to investigate the effectiveness of lifestyle programs in real-world primary care is challenging: a case study in diabetes mellitus

Joris J. Linmans*, Wolfgang Viechtbauer, Tjarco Koppenaal, Mark Spigt, J. Andre Knottnerus

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Objective: The increasing prevalence of diabetes suggests a gap between real world and controlled trial effectiveness of lifestyle interventions, but real-world investigations are rare. Electronic medical registration facilitates research on real-world effectiveness, although such investigations may require specific methodology and statistics. We investigated the effects of real-world primary care for patients with type 2 diabetes mellitus (T2DM). Study Design and Setting: We used medical records of patients (n = 2,549) with T2DM from 10 primary health care centers. A mixed-effects regression model for repeated measurements was used to evaluate the changes in weight and Hemoglobin A1c (HbA1c) over time. Results: There was no statistically significant change in weight (+0.07 kg, P = 0.832) and HbA1c (+0.03%, P = 0.657) during the observation period of 972 days. Most patients maintained their physical activity level (70%), and 54 % had an insufficient activity level. The variability in the course of weight and HbA1c was because of differences between patients and not between health care providers. Conclusion: Despite effective lifestyle interventions in controlled trial settings, we found that real-world primary care is only able to stabilize weight and HbA1c in patients with T2DM over time. Medical registration can be used to monitor the actual effectiveness of interventions in primary care.
Original languageEnglish
Pages (from-to)785-792
JournalJournal of Clinical Epidemiology
Volume65
Issue number7
DOIs
Publication statusPublished - Jul 2012

Keywords

  • Primary health care
  • Electronic health records
  • Diabetes mellitus, type 2
  • Health care quality, access, and evaluation
  • Lifestyle
  • Translational research

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