Literature DB >> 21156884

Quality of congestive heart failure care: assessing measurement of care using electronic medical records.

Heather Maddocks1, J Neil Marshall, Moira Stewart, Amanda L Terry, Sonny Cejic, Jo-Anne Hammond, John Jordan, Vijaya Chevendra, Louisa Bestard Denomme, Amardeep Thind.   

Abstract

OBJECTIVE: To study the feasibility of using electronic medical record (EMR) data from the Deliver Primary Healthcare Information (DELPHI) database to measure quality of care for patients with congestive heart failure (CHF) in primary care and to determine the percentage of patients with CHF receiving the recommended care.
DESIGN: Items listed on the Ontario Ministry of Health and Long-Term Care Heart Failure Patient Care Flow Sheet (CHF flow sheet) were assessed and measured using EMRs of patients diagnosed with CHF between October 1, 2005, and September 30, 2008.
SETTING: Ten primary health care practices in southwestern Ontario. PARTICIPANTS: Four hundred eighty-eight patients who were considered to have CHF because at least 1 of the following was indicated in their EMRs: an International Classification of Diseases billing code for CHF (category 428), an International Classification of Primary Care diagnosis code for heart failure (ie, K77), or "CHF" reported on the problem list. MAIN OUTCOME MEASURES: Number of CHF flow sheet items that were measurable using EMR data from the DELPHI database. Percentage of patients with CHF receiving required quality-of-care items since the date of diagnosis.
RESULTS: The DELPHI database contained information on 60 (65.9%) of the 91 items identified using the CHF flow sheet. The recommended tests and procedures were recorded infrequently: 55.5% of patients with CHF had chest radiographs; 32.6% had electrocardiograms; 32.2% had echocardiograms; 30.5% were prescribed angiotensin-converting enzyme inhibitors; 20.9% were prescribed β-blockers; and 15.8% were prescribed angiotensin II receptor blockers.
CONCLUSION: Low frequencies of recommended care items for patients with CHF were recorded in the EMR. Physicians explained that CHF care was documented in areas of the EMR that contained patient identifiers, such as the encounter notes, and was therefore not part of the DELPHI database. Extractable information from the EMR does not provide a complete picture of the quality of care provided to patients with CHF.

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Year:  2010        PMID: 21156884      PMCID: PMC3001951     

Source DB:  PubMed          Journal:  Can Fam Physician        ISSN: 0008-350X            Impact factor:   3.275


  6 in total

1.  Using data from electronic medical records: theory versus practice.

Authors:  Tezeta F Mitiku; Karen Tu
Journal:  Healthc Q       Date:  2008

Review 2.  Canadian Cardiovascular Society Consensus Conference recommendations on heart failure update 2007: Prevention, management during intercurrent illness or acute decompensation, and use of biomarkers.

Authors:  J Malcom O Arnold; Jonathan G Howlett; Paul Dorian; Anique Ducharme; Nadia Giannetti; Haissam Haddad; George A Heckman; Andrew Ignaszewski; Debra Isaac; Philip Jong; Peter Liu; Elizabeth Mann; Robert S McKelvie; Gordon W Moe; John D Parker; Anna M Svendsen; Ross T Tsuyuki; Kelly O'Halloran; Heather J Ross; Vivek Rao; Errol J Sequeira; Michel White
Journal:  Can J Cardiol       Date:  2007-01       Impact factor: 5.223

3.  Canadian Cardiovascular Society consensus conference recommendations on heart failure 2006: diagnosis and management.

Authors:  J Malcolm O Arnold; Peter Liu; Catherine Demers; Paul Dorian; Nadia Giannetti; Haissam Haddad; George A Heckman; Jonathan G Howlett; Andrew Ignaszewski; David E Johnstone; Philip Jong; Robert S McKelvie; Gordon W Moe; John D Parker; Vivek Rao; Heather J Ross; Errol J Sequeira; Anna M Svendsen; Koon Teo; Ross T Tsuyuki; Michel White
Journal:  Can J Cardiol       Date:  2006-01       Impact factor: 5.223

Review 4.  A systematic review and meta-analysis of studies comparing readmission rates and mortality rates in patients with heart failure.

Authors:  Femida H Gwadry-Sridhar; Virginia Flintoft; Douglas S Lee; Hui Lee; Gordon H Guyatt
Journal:  Arch Intern Med       Date:  2004-11-22

5.  Managing chronic disease in ontario primary care: the impact of organizational factors.

Authors:  Grant M Russell; Simone Dahrouge; William Hogg; Robert Geneau; Laura Muldoon; Meltem Tuna
Journal:  Ann Fam Med       Date:  2009 Jul-Aug       Impact factor: 5.166

6.  Measuring quality of care for rheumatic diseases using an electronic medical record.

Authors:  J C Agnew-Blais; J S Coblyn; J N Katz; R J Anderson; J Mehta; D H Solomon
Journal:  Ann Rheum Dis       Date:  2008-05-29       Impact factor: 19.103

  6 in total
  4 in total

1.  Developing a natural language processing application for measuring the quality of colonoscopy procedures.

Authors:  Henk Harkema; Wendy W Chapman; Melissa Saul; Evan S Dellon; Robert E Schoen; Ateev Mehrotra
Journal:  J Am Med Inform Assoc       Date:  2011-09-21       Impact factor: 4.497

2.  Computerized Electronic Order Set: Use and Outcomes for Heart Failure Following Hospitalization.

Authors:  Robert J H Miller; Alexandra Bell; Sandeep Aggarwal; James Eisner; Jonathan G Howlett
Journal:  CJC Open       Date:  2020-06-26

3.  How to best assess quality of drug treatment in patients with heart failure.

Authors:  Ramin Zarrinkoub; Thomas Kahan; Sven-Erik Johansson; Per Wändell; Märit Mejhert; Björn Wettermark
Journal:  Eur J Clin Pharmacol       Date:  2016-04-11       Impact factor: 2.953

Review 4.  Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.

Authors:  Marie-Line Gentil; Marc Cuggia; Laure Fiquet; Camille Hagenbourger; Thomas Le Berre; Agnès Banâtre; Eric Renault; Guillaume Bouzille; Anthony Chapron
Journal:  BMC Med Inform Decis Mak       Date:  2017-09-25       Impact factor: 2.796

  4 in total

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