TY - JOUR
T1 - Using EMR to improve compliance with clinical practice guidelines for management of stable COPD
AU - Terasaki, Jordan
AU - Singh, Gurinder
AU - Zhang, Wei
AU - Wagner, Penny
AU - Sharma, Gulshan
N1 - Publisher Copyright:
© 2015 Elsevier Ltd. All rights reserved.
PY - 2015/11
Y1 - 2015/11
N2 - Background Clinical practice guidelines are underutilized in the outpatient management of chronic obstructive pulmonary disease (COPD). We hypothesize that a structured approach using the electronic medical record (EMR) will improve compliance with clinical practice guidelines for the evaluation and management of patients with stable COPD. Methods Clinical records were evaluated in a pre- and post-intervention analysis of patients with COPD seen in our pulmonary clinics at a single tertiary care academic setting. Patient charts were retrospectively screened for the diagnosis of COPD and individually assessed for a diagnosis of COPD by spirometry. We then developed and implemented a COPD Flowsheet based on clinical practice guidelines into each outpatient clinic encounter for COPD with repeat chart review of clinic patients. Improvement in the pre- to post-intervention quality metrics were compared using t-test and Chi squared as indicated. A p-value of <0.05 was considered significant. Results A total of 200 patients were screened in the pre-intervention period and 347 in the post-intervention period. Of these, 144 (72%) and 267 (77%) met criteria for COPD based on FEV1/FVC < 0.70, respectively. There was a significant increase in the use of severity assessment by BODE index (13.2% vs 32.2%, p-value < 0.001), inhaler technique teaching (35.4% vs 65.2%, p-value < 0.001), osteoporosis screening (20.8% vs 44.9%, p-value < 0.001) and influenza vaccination (74.3% vs 83.5%, p-value = 0.03) in post intervention period. Conclusions Implementation of a standardized COPD Flowsheet developed from clinical practice guidelines improves advanced assessment of patients with COPD and other quality of care measures.
AB - Background Clinical practice guidelines are underutilized in the outpatient management of chronic obstructive pulmonary disease (COPD). We hypothesize that a structured approach using the electronic medical record (EMR) will improve compliance with clinical practice guidelines for the evaluation and management of patients with stable COPD. Methods Clinical records were evaluated in a pre- and post-intervention analysis of patients with COPD seen in our pulmonary clinics at a single tertiary care academic setting. Patient charts were retrospectively screened for the diagnosis of COPD and individually assessed for a diagnosis of COPD by spirometry. We then developed and implemented a COPD Flowsheet based on clinical practice guidelines into each outpatient clinic encounter for COPD with repeat chart review of clinic patients. Improvement in the pre- to post-intervention quality metrics were compared using t-test and Chi squared as indicated. A p-value of <0.05 was considered significant. Results A total of 200 patients were screened in the pre-intervention period and 347 in the post-intervention period. Of these, 144 (72%) and 267 (77%) met criteria for COPD based on FEV1/FVC < 0.70, respectively. There was a significant increase in the use of severity assessment by BODE index (13.2% vs 32.2%, p-value < 0.001), inhaler technique teaching (35.4% vs 65.2%, p-value < 0.001), osteoporosis screening (20.8% vs 44.9%, p-value < 0.001) and influenza vaccination (74.3% vs 83.5%, p-value = 0.03) in post intervention period. Conclusions Implementation of a standardized COPD Flowsheet developed from clinical practice guidelines improves advanced assessment of patients with COPD and other quality of care measures.
KW - COPD clinical practice guidelines
KW - COPD management
KW - EMR electronic medical records
KW - Outpatient COPD
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U2 - 10.1016/j.rmed.2015.10.003
DO - 10.1016/j.rmed.2015.10.003
M3 - Article
C2 - 26475055
AN - SCOPUS:84946594900
SN - 0954-6111
VL - 109
SP - 1423
EP - 1429
JO - Respiratory Medicine
JF - Respiratory Medicine
IS - 11
ER -