Literature DB >> 18436914

Preliminary development of the physician documentation quality instrument.

Peter D Stetson1, Frances P Morrison, Suzanne Bakken, Stephen B Johnson.   

Abstract

OBJECTIVES: This study sought to design and validate a reliable instrument to assess the quality of physician documentation.
DESIGN: Adjectives describing clinician attitudes about high-quality clinical documentation were gathered through literature review, assessed by clinical experts, and transformed into a semantic differential scale. Using the scale, physicians and nurse practitioners scored the importance of the adjectives for describing quality in three note types: admission, progress, and discharge notes. Psychometric methods including exploratory factor analysis were applied to provide preliminary evidence for the construct validity and internal consistency reliability.
RESULTS: A 22-item Physician Documentation Quality Instrument (PDQI) was developed. Exploratory factor analysis (n = 67 clinician respondents) on three note types resulted in solutions ranging from four (discharge) to six (admission and progress) factors, and explained 65.8% (discharge) to 73% (admission and progress) of the variance. Each factor solution was unique. However, four sets of items consistently factored together across all note types: (1) up-to-date and current; (2) brief, concise, succinct; (3) organized and structured; and (4) correct, comprehensible, consistent. Internal consistency reliabilities were: admission note (factor scales = 0.52-88, overall = 0.86), progress note (factor scales = 0.59-0.84, overall = 0.87), and discharge summary (factor scales = 0.76-0.85, overall = 0.88).
CONCLUSION: The exploratory factor analyses and reliability analyses provide preliminary evidence for the construct validity and internal consistency reliability of the PDQI. Two novel dimensions of the construct for document quality were developed related to form (Well-formed, Compact). Additional work is needed to assess intrarater and interrater reliability of applying of the proposed instrument and to examine the reproducibility of the factors in other samples.

Mesh:

Year:  2008        PMID: 18436914      PMCID: PMC2442259          DOI: 10.1197/jamia.M2404

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  42 in total

1.  Are electronic medical records trustworthy? Observations on copying, pasting and duplication.

Authors:  Kenric W Hammond; Susan T Helbig; Craig C Benson; Beverly M Brathwaite-Sketoe
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.

Authors:  Peter J Embi; Thomas R Yackel; Judith R Logan; Judith L Bowen; Thomas G Cooney; Paul N Gorman
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

3.  Experience in implementing inpatient clinical note capture via a provider order entry system.

Authors:  S Trent Rosenbloom; Jonathan Grande; Antoine Geissbuhler; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

4.  Evaluation of residents' delivery notes after a simulated shoulder dystocia.

Authors:  Shad Deering; Sarah Poggi; Jonathan Hodor; Christian Macedonia; Andrew J Satin
Journal:  Obstet Gynecol       Date:  2004-10       Impact factor: 7.661

5.  Copying and pasting of examinations within the electronic medical record.

Authors:  Stephen Thielke; Kenric Hammond; Susan Helbig
Journal:  Int J Med Inform       Date:  2006-08-08       Impact factor: 4.046

6.  Preformatted charts improve documentation in the emergency department.

Authors:  T Humphreys; F S Shofer; S Jacobson; C Coutifaris; A Stemhagen
Journal:  Ann Emerg Med       Date:  1992-05       Impact factor: 5.721

7.  The accuracy of medication data in an outpatient electronic medical record.

Authors:  M M Wagner; W R Hogan
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

8.  Surgical discharge summaries: improving the record.

Authors:  D C Adams; J B Bristol; K R Poskitt
Journal:  Ann R Coll Surg Engl       Date:  1993-03       Impact factor: 1.891

9.  Heterogeneous effect of an Emergency Department Expert Charting System.

Authors:  Kelly Buller-Close; David L Schriger; Larry J Baraff
Journal:  Ann Emerg Med       Date:  2003-05       Impact factor: 5.721

10.  Quality and correlates of medical record documentation in the ambulatory care setting.

Authors:  Carlos M Soto; Kenneth P Kleinman; Steven R Simon
Journal:  BMC Health Serv Res       Date:  2002-12-10       Impact factor: 2.655

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  23 in total

1.  Quantifying clinical narrative redundancy in an electronic health record.

Authors:  Jesse O Wrenn; Daniel M Stein; Suzanne Bakken; Peter D Stetson
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

2.  What do physicians read (and ignore) in electronic progress notes?

Authors:  P J Brown; J L Marquard; B Amster; M Romoser; J Friderici; S Goff; D Fisher
Journal:  Appl Clin Inform       Date:  2014-04-23       Impact factor: 2.342

3.  The physical attractiveness of electronic physician notes.

Authors:  Thomas H Payne; Rupa Patel; Sally Beahan; Jacquie Zehner
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

4.  Initial Steps toward Validating and Measuring the Quality of Computerized Provider Documentation.

Authors:  Kenric W Hammond; Efthimis N Efthimiadis; Charlene R Weir; Peter J Embi; Stephen M Thielke; Ryan M Laundry; Ashley Hedeen
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

5.  Data from clinical notes: a perspective on the tension between structure and flexible documentation.

Authors:  S Trent Rosenbloom; Joshua C Denny; Hua Xu; Nancy Lorenzi; William W Stead; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-01-12       Impact factor: 4.497

6.  A comparative observational study of inpatient clinical note-entry and reading/retrieval styles adopted by physicians.

Authors:  Rubina F Rizvi; Kathleen A Harder; Gretchen M Hultman; Terrence J Adam; Michael Kim; Serguei V S Pakhomov; Genevieve B Melton
Journal:  Int J Med Inform       Date:  2016-03-02       Impact factor: 4.046

7.  Concordance of Electronic Health Record (EHR) Data Describing Delirium at a VA Hospital.

Authors:  Joshua Spuhl; Kristina Doing-Harris; Scott Nelson; Nicolette Estrada; Guilherme Del Fiol; Charlene Weir
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

8.  What are they trying to do?: An analysis of Action Identities in using electronic documentation in an EHR.

Authors:  Charlene R Weir; Catherine Staes; Stacey Slager; Teresa Taft; Valiammai Chidambaram; Heidi Kramer; Bruce E Bray; Seneca Perri Moore
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

9.  The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting.

Authors:  Caitlin M Cusack; George Hripcsak; Meryl Bloomrosen; S Trent Rosenbloom; Charlotte A Weaver; Adam Wright; David K Vawdrey; Jim Walker; Lena Mamykina
Journal:  J Am Med Inform Assoc       Date:  2012-09-08       Impact factor: 4.497

10.  The relationship between structural characteristics of 2010 challenge documents and ratings of document quality.

Authors:  Shuying Shen; Brett R South; Jorie Butler; Robyn Barrus; Charlene Weir
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03
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