Literature DB >> 15812736

Pragmatic strategies that enhance the reliability of data abstracted from medical records.

Clara Eder1, Judith Fullerton, Robert Benroth, Suzanne P Lindsay.   

Abstract

The processes and procedures used to promote interrater reliability in the abstraction of data from medical records are described. Several proactive strategies that serve the purpose of leading to standard interpretations of clinical data are discussed. These include (a) establishment of priorities for the sources of information; (b) creation of orders of value for the likeliness of validity of recorded data; (c) standardization of terminology; and (d) reaffirmation of decisions, based on an evolving body of evidence. Lessons learned from this project can assist nurse researchers to develop high-quality information retrieval methods, when multiple observers (or abstractors) are used during a medical record abstraction data collection process.

Mesh:

Year:  2005        PMID: 15812736     DOI: 10.1016/j.apnr.2004.04.005

Source DB:  PubMed          Journal:  Appl Nurs Res        ISSN: 0897-1897            Impact factor:   2.257


  12 in total

1.  Research strategies that result in optimal data collection from the patient medical record.

Authors:  Katherine E Gregory; Lucy Radovinsky
Journal:  Appl Nurs Res       Date:  2010-04-09       Impact factor: 2.257

2.  Methods to achieve high interrater reliability in data collection from primary care medical records.

Authors:  Clare Liddy; Miriam Wiens; William Hogg
Journal:  Ann Fam Med       Date:  2011 Jan-Feb       Impact factor: 5.166

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4.  Researching the Appropriateness of Care in the Complementary and Integrative Health Professions Part 5: Using Patient Records: Selection, Protection, and Abstraction.

Authors:  Carol P Roth; Ian D Coulter; Lisa S Kraus; Gery W Ryan; Gary Jacob; Joyce S Marks; Eric L Hurwitz; Howard Vernon; Paul G Shekelle; Patricia M Herman
Journal:  J Manipulative Physiol Ther       Date:  2019-06-27       Impact factor: 1.437

5.  Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction.

Authors:  Brock Polnaszek; Andrea Gilmore-Bykovskyi; Melissa Hovanes; Rachel Roiland; Patrick Ferguson; Roger Brown; Amy J H Kind
Journal:  Med Care       Date:  2016-10       Impact factor: 2.983

6.  Factors Affecting Accuracy of Data Abstracted from Medical Records.

Authors:  Meredith N Zozus; Carl Pieper; Constance M Johnson; Todd R Johnson; Amy Franklin; Jack Smith; Jiajie Zhang
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

7.  Intra-rater and inter-rater reliability of a medical record abstraction study on transition of care after childhood cancer.

Authors:  Micòl E Gianinazzi; Corina S Rueegg; Karin Zimmerman; Claudia E Kuehni; Gisela Michel
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

8.  Reliability of medical record abstraction by non-physicians for orthopedic research.

Authors:  Michael Y Mi; Jamie E Collins; Vladislav Lerner; Elena Losina; Jeffrey N Katz
Journal:  BMC Musculoskelet Disord       Date:  2013-06-09       Impact factor: 2.362

9.  Quality of care assessment in geriatric evaluation and management units: construction of a chart review tool for a tracer condition.

Authors:  Marie-Jeanne Kergoat; Bernard-Simon Leclerc; Nicole Leduc; Judith Latour; Katherine Berg; Aline Bolduc
Journal:  BMC Geriatr       Date:  2009-07-29       Impact factor: 3.921

10.  Assessment of paediatric inpatient care during a multifaceted quality improvement intervention in Kenyan district hospitals--use of prospectively collected case record data.

Authors:  Paul Mwaniki; Philip Ayieko; Jim Todd; Mike English
Journal:  BMC Health Serv Res       Date:  2014-07-18       Impact factor: 2.655

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