Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system. Persell, S. D., Kaiser, D., Dolan, N. C., Andrews, B., Levi, S., Khandekar, J., Gavagan, T., Thompson, J. A., Friesema, E. M., & Baker, D. W. Medical Care, 49(2):117–125, February, 2011. doi abstract bibtex BACKGROUND: Electronic health record (EHR) systems have the potential to revolutionize quality improvement (QI) methods by enhancing quality measurement and integrating multiple proven QI strategies. OBJECTIVES: To implement and evaluate a multifaceted QI intervention using EHR tools to improve quality measurement (including capture of contraindications and patient refusals), make point-of-care reminders more accurate, and provide more valid and responsive clinician feedback (including lists of patients not receiving essential medications) for 16 chronic disease and preventive service measures. DESIGN: Time series analysis at a large internal medicine practice using a commercial EHR. SUBJECTS: All adult patients eligible for each measure (range approximately 100-7500). MEASURES: The proportion of eligible patients who satisfied each measure after removing those with exceptions from the denominator. RESULTS: During the year before the intervention, performance improved significantly for 8 measures. During the year after the intervention, performance improved significantly for 14 measures. For 9 measures, the primary outcome improved more rapidly during the intervention year than during the previous year (P \textless 0.001 for 8 measures, P = 0.02 for 1). Four other measures improved at rates that were not significantly different from the previous year. Improvements resulted from increases in patients receiving the service, documentation of exceptions, or a combination of both. For 5 drug-prescribing measures, more than half of physicians achieved 100% performance. CONCLUSIONS: Implementation of a multifaceted QI intervention using EHR tools to improve quality measurement and the accuracy and timeliness of clinician feedback improved performance and/or accelerated the rate of improvement for multiple measures simultaneously.
@article{persell_changes_2011,
title = {Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system},
volume = {49},
issn = {1537-1948},
doi = {10.1097/MLR.0b013e318202913d},
abstract = {BACKGROUND: Electronic health record (EHR) systems have the potential to revolutionize quality improvement (QI) methods by enhancing quality measurement and integrating multiple proven QI strategies.
OBJECTIVES: To implement and evaluate a multifaceted QI intervention using EHR tools to improve quality measurement (including capture of contraindications and patient refusals), make point-of-care reminders more accurate, and provide more valid and responsive clinician feedback (including lists of patients not receiving essential medications) for 16 chronic disease and preventive service measures.
DESIGN: Time series analysis at a large internal medicine practice using a commercial EHR.
SUBJECTS: All adult patients eligible for each measure (range approximately 100-7500).
MEASURES: The proportion of eligible patients who satisfied each measure after removing those with exceptions from the denominator.
RESULTS: During the year before the intervention, performance improved significantly for 8 measures. During the year after the intervention, performance improved significantly for 14 measures. For 9 measures, the primary outcome improved more rapidly during the intervention year than during the previous year (P {\textless} 0.001 for 8 measures, P = 0.02 for 1). Four other measures improved at rates that were not significantly different from the previous year. Improvements resulted from increases in patients receiving the service, documentation of exceptions, or a combination of both. For 5 drug-prescribing measures, more than half of physicians achieved 100\% performance.
CONCLUSIONS: Implementation of a multifaceted QI intervention using EHR tools to improve quality measurement and the accuracy and timeliness of clinician feedback improved performance and/or accelerated the rate of improvement for multiple measures simultaneously.},
language = {eng},
number = {2},
journal = {Medical Care},
author = {Persell, Stephen D. and Kaiser, Darren and Dolan, Nancy C. and Andrews, Beth and Levi, Sue and Khandekar, Janardan and Gavagan, Thomas and Thompson, Jason A. and Friesema, Elisha M. and Baker, David W.},
month = feb,
year = {2011},
pmid = {21178789},
keywords = {Aged, Chicago, Coronary Disease, Decision Support Systems, Clinical, Diabetes Mellitus, Documentation, Drug Prescriptions, Electronic Health Records, Female, Heart Failure, Humans, Internal Medicine, Linear Models, Longitudinal Studies, Male, Middle Aged, Outcome Assessment (Health Care), Physician's Practice Patterns, Point-of-Care Systems, Program Evaluation, Quality Indicators, Health Care, Reminder Systems, Total Quality Management},
pages = {117--125}
}
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W."],"year":2011,"bibtype":"article","biburl":"https://bibbase.org/zotero/emmanuel.chazard","bibdata":{"bibtype":"article","type":"article","title":"Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system","volume":"49","issn":"1537-1948","doi":"10.1097/MLR.0b013e318202913d","abstract":"BACKGROUND: Electronic health record (EHR) systems have the potential to revolutionize quality improvement (QI) methods by enhancing quality measurement and integrating multiple proven QI strategies. OBJECTIVES: To implement and evaluate a multifaceted QI intervention using EHR tools to improve quality measurement (including capture of contraindications and patient refusals), make point-of-care reminders more accurate, and provide more valid and responsive clinician feedback (including lists of patients not receiving essential medications) for 16 chronic disease and preventive service measures. DESIGN: Time series analysis at a large internal medicine practice using a commercial EHR. SUBJECTS: All adult patients eligible for each measure (range approximately 100-7500). MEASURES: The proportion of eligible patients who satisfied each measure after removing those with exceptions from the denominator. RESULTS: During the year before the intervention, performance improved significantly for 8 measures. During the year after the intervention, performance improved significantly for 14 measures. For 9 measures, the primary outcome improved more rapidly during the intervention year than during the previous year (P \\textless 0.001 for 8 measures, P = 0.02 for 1). Four other measures improved at rates that were not significantly different from the previous year. Improvements resulted from increases in patients receiving the service, documentation of exceptions, or a combination of both. For 5 drug-prescribing measures, more than half of physicians achieved 100% performance. CONCLUSIONS: Implementation of a multifaceted QI intervention using EHR tools to improve quality measurement and the accuracy and timeliness of clinician feedback improved performance and/or accelerated the rate of improvement for multiple measures simultaneously.","language":"eng","number":"2","journal":"Medical Care","author":[{"propositions":[],"lastnames":["Persell"],"firstnames":["Stephen","D."],"suffixes":[]},{"propositions":[],"lastnames":["Kaiser"],"firstnames":["Darren"],"suffixes":[]},{"propositions":[],"lastnames":["Dolan"],"firstnames":["Nancy","C."],"suffixes":[]},{"propositions":[],"lastnames":["Andrews"],"firstnames":["Beth"],"suffixes":[]},{"propositions":[],"lastnames":["Levi"],"firstnames":["Sue"],"suffixes":[]},{"propositions":[],"lastnames":["Khandekar"],"firstnames":["Janardan"],"suffixes":[]},{"propositions":[],"lastnames":["Gavagan"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Thompson"],"firstnames":["Jason","A."],"suffixes":[]},{"propositions":[],"lastnames":["Friesema"],"firstnames":["Elisha","M."],"suffixes":[]},{"propositions":[],"lastnames":["Baker"],"firstnames":["David","W."],"suffixes":[]}],"month":"February","year":"2011","pmid":"21178789","keywords":"Aged, Chicago, Coronary Disease, Decision Support Systems, Clinical, Diabetes Mellitus, Documentation, Drug Prescriptions, Electronic Health Records, Female, Heart Failure, Humans, Internal Medicine, Linear Models, Longitudinal Studies, Male, Middle Aged, Outcome Assessment (Health Care), Physician's Practice Patterns, Point-of-Care Systems, Program Evaluation, Quality Indicators, Health Care, Reminder Systems, Total Quality Management","pages":"117–125","bibtex":"@article{persell_changes_2011,\n\ttitle = {Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system},\n\tvolume = {49},\n\tissn = {1537-1948},\n\tdoi = {10.1097/MLR.0b013e318202913d},\n\tabstract = {BACKGROUND: Electronic health record (EHR) systems have the potential to revolutionize quality improvement (QI) methods by enhancing quality measurement and integrating multiple proven QI strategies.\nOBJECTIVES: To implement and evaluate a multifaceted QI intervention using EHR tools to improve quality measurement (including capture of contraindications and patient refusals), make point-of-care reminders more accurate, and provide more valid and responsive clinician feedback (including lists of patients not receiving essential medications) for 16 chronic disease and preventive service measures.\nDESIGN: Time series analysis at a large internal medicine practice using a commercial EHR.\nSUBJECTS: All adult patients eligible for each measure (range approximately 100-7500).\nMEASURES: The proportion of eligible patients who satisfied each measure after removing those with exceptions from the denominator.\nRESULTS: During the year before the intervention, performance improved significantly for 8 measures. During the year after the intervention, performance improved significantly for 14 measures. For 9 measures, the primary outcome improved more rapidly during the intervention year than during the previous year (P {\\textless} 0.001 for 8 measures, P = 0.02 for 1). Four other measures improved at rates that were not significantly different from the previous year. Improvements resulted from increases in patients receiving the service, documentation of exceptions, or a combination of both. 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