OBJECTIVE: To use primary care electronic medical records (EMRs) to evaluate the effects of a lifestyle intervention delivered to obese patients compared with obese patients who did not receive the intervention. DESIGN: Retrospective cohort analysis using EMR data derived from the Canadian Primary Care Sentinel Surveillance Network. SETTING: A primary care clinic in rural Alberta. PARTICIPANTS: Obese adult patients with at least 1 weight measurement in the time periods before and after the intervention, grouped by patients who received the intervention (n = 68) and those who did not (n = 365). INTERVENTION: Physician-developed lifestyle plan to address obesity through a variety of health-promoting recommendations. MAIN OUTCOME MEASURES: Mean change from before the intervention for weight, blood pressure, glycated hemoglobin A1c level, and body mass index measurements, compared between the control and intervention groups. RESULTS: Negligible weight change was observed in both groups, with the exception of older male patients (65 years and older) receiving the intervention, who lost significantly more weight than older men in the control group (a difference in mean reduction of 3.02 kg in favour of the intervention; P = .008). No overall group differences were seen in the secondary health outcomes, except for reductions in systolic and diastolic blood pressures in the intervention group (P = .002 and P = .04, respectively). Only the difference in systolic blood pressure remained significant after adjusting for covariates (P = .01). CONCLUSION: Providing real-time feedback about clinical interventions is possible using EMR data. Although the lifestyle intervention was associated with significant weight loss for a specific group of patients only, with the use of EMR data the cohort can be followed over time and additional health outcomes can be monitored. There is potential for individual physicians and practices to assess and improve clinical processes and interventions in a rigorous, timely, and manageable way.
OBJECTIVE: To use primary care electronic medical records (EMRs) to evaluate the effects of a lifestyle intervention delivered to obesepatients compared with obesepatients who did not receive the intervention. DESIGN: Retrospective cohort analysis using EMR data derived from the Canadian Primary Care Sentinel Surveillance Network. SETTING: A primary care clinic in rural Alberta. PARTICIPANTS: Obese adult patients with at least 1 weight measurement in the time periods before and after the intervention, grouped by patients who received the intervention (n = 68) and those who did not (n = 365). INTERVENTION: Physician-developed lifestyle plan to address obesity through a variety of health-promoting recommendations. MAIN OUTCOME MEASURES: Mean change from before the intervention for weight, blood pressure, glycated hemoglobin A1c level, and body mass index measurements, compared between the control and intervention groups. RESULTS: Negligible weight change was observed in both groups, with the exception of older male patients (65 years and older) receiving the intervention, who lost significantly more weight than older men in the control group (a difference in mean reduction of 3.02 kg in favour of the intervention; P = .008). No overall group differences were seen in the secondary health outcomes, except for reductions in systolic and diastolic blood pressures in the intervention group (P = .002 and P = .04, respectively). Only the difference in systolic blood pressure remained significant after adjusting for covariates (P = .01). CONCLUSION: Providing real-time feedback about clinical interventions is possible using EMR data. Although the lifestyle intervention was associated with significant weight loss for a specific group of patients only, with the use of EMR data the cohort can be followed over time and additional health outcomes can be monitored. There is potential for individual physicians and practices to assess and improve clinical processes and interventions in a rigorous, timely, and manageable way.
Authors: Darren Er Warburton; Sarah Charlesworth; Adam Ivey; Lindsay Nettlefold; Shannon Sd Bredin Journal: Int J Behav Nutr Phys Act Date: 2010-05-11 Impact factor: 6.457
Authors: Elizabeth A Sturgiss; Nicholas Elmitt; Emily Haesler; Chris van Weel; Kirsty A Douglas Journal: BMJ Open Date: 2018-02-16 Impact factor: 2.692
Authors: S Garies; M Cummings; B Forst; K McBrien; B Soos; M Taylor; N Drummond; D Manca; K Duerksen; H Quan; T Williamson Journal: Int J Popul Data Sci Date: 2019-07-29