Literature DB >> 7492423

Assessment of the completeness and accuracy of computer medical records in four practices committed to recording data on computer.

M Pringle1, P Ward, C Chilvers.   

Abstract

BACKGROUND: General practice computer databases are being increasingly seen as a source of data for public health monitoring and commissioning. Such ambitions depend on routine clinical data being recorded with acceptable completeness and accuracy. AIM: The aim of this study was to assess the completeness and accuracy of the computer medical records in four high-recording general practices.
METHOD: Four general practices in the Trent Region that use the EMIS computer system, and were known to be high recorders of clinical data on their computer databases, were selected. A retrospective analysis of the computer records, a prospective comparison of a sample of computer records with manual records, and a prospective comparison between videorecorded consultations and their manual and computer records were undertaken.
RESULTS: Checks for completeness in computer recording of diabetes mellitus and glaucoma showed high levels of accurate recording, 97% and 92% respectively. Prevalence rates between practices were reasonably comparable. No practice consistently, across 10 diagnoses, recorded prevalences higher or lower than the other practices; those diagnoses with recognized objective diagnostic criteria were recorded with a more consistent prevalence than those without. Lifestyle data recording was low; overall, smoking habits and alcohol consumption were recorded for 52% and 38% of patients aged over 16 years, respectively. Comparison of the manual records with the computer records showed that the computer records were sufficiently complete with regard to diagnoses (82% of all items recorded), prescriptions (100%) and referrals (67%), but missed most of the remaining data that a manual record captured. The videorecorded validation study showed that there were no important lapses in the recording of diagnoses, prescriptions or referrals when the computer recording was compared to the actual process of the consultations.
CONCLUSION: In these four high-recording practices the data in computer records were of sufficient completeness and accuracy to allow meaningful data aggregation for some diagnoses, prescriptions and referrals. Standardized protocols for defining which patients are included and excluded from major disease groups are required.

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Mesh:

Year:  1995        PMID: 7492423      PMCID: PMC1239405     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  12 in total

1.  General practitioner records on computer--handle with care.

Authors:  A Gilliland; K A Mills; K Steele
Journal:  Fam Pract       Date:  1992-12       Impact factor: 2.267

2.  Use of computerised general practice data for population surveillance: comparative study of influenza data.

Authors:  N Johnson; D Mant; L Jones; T Randall
Journal:  BMJ       Date:  1991-03-30

3.  Large computer databases in general practice.

Authors:  M Pringle; R Hobbs
Journal:  BMJ       Date:  1991-03-30

4.  Validation of information recorded on general practitioner based computerised data resource in the United Kingdom.

Authors:  H Jick; S S Jick; L E Derby
Journal:  BMJ       Date:  1991-03-30

5.  General practice computing in Scotland.

Authors:  M W Taylor; L D Ritchie; R J Taylor; M P Ryan; N I Paterson; R Duncan; K G Brotherston
Journal:  BMJ       Date:  1990-01-20

6.  Greeks bearing gifts.

Authors:  M Pringle
Journal:  Br Med J (Clin Res Ed)       Date:  1987-09-26

7.  The Read clinical classification.

Authors:  J Chisholm
Journal:  BMJ       Date:  1990-04-28

8.  Global public health and the information superhighway.

Authors:  R E LaPorte
Journal:  BMJ       Date:  1994-06-25

9.  Generating social class data in primary care.

Authors:  P Ward; A J Morton-Jones; M A Pringle; C E Chilvers
Journal:  Public Health       Date:  1994-07       Impact factor: 2.427

10.  Does awareness of being video recorded affect doctors' consultation behaviour?

Authors:  M Pringle; C Stewart-Evans
Journal:  Br J Gen Pract       Date:  1990-11       Impact factor: 5.386

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  46 in total

1.  An assessment of morbidity registers for coronary heart disease in primary care. ASSIST (ASSessment of Implementation STrategy) trial collaborative group.

Authors:  M Moher; P Yudkin; R Turner; T Schofield; D Mant
Journal:  Br J Gen Pract       Date:  2000-09       Impact factor: 5.386

2.  Measuring the quality of medical records: a method for comparing completeness and correctness of clinical encounter data.

Authors:  J R Logan; P N Gorman; B Middleton
Journal:  Proc AMIA Symp       Date:  2001

3.  Explaining variations in reported diabetes prevalence in general practice: how much variation is explained by differences between practice populations?

Authors:  Elizabeth Goyder; Vicky Hammersley
Journal:  Br J Gen Pract       Date:  2003-08       Impact factor: 5.386

4.  Data quality of general practice electronic health records: the impact of a program of assessments, feedback, and training.

Authors:  Mark Porcheret; Rhian Hughes; Dai Evans; Kelvin Jordan; Tracy Whitehurst; Helen Ogden; Peter Croft
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

5.  Does feedback improve the quality of computerized medical records in primary care?

Authors:  Simon De Lusignan; Peter N Stephens; Naeema Adal; Azeem Majeed
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

Review 6.  Systematic review of scope and quality of electronic patient record data in primary care.

Authors:  Krish Thiru; Alan Hassey; Frank Sullivan
Journal:  BMJ       Date:  2003-05-17

7.  The quality of record keeping in primary care: a comparison of computerised, paper and hybrid systems.

Authors:  William T Hamilton; Alison P Round; Deborah Sharp; Tim J Peters
Journal:  Br J Gen Pract       Date:  2003-12       Impact factor: 5.386

8.  Effects of automated immunization registry reporting via an electronic health record deployed in community practice settings.

Authors:  J Merrill; A Phillips; J Keeling; R Kaushal; Y Senathirajah
Journal:  Appl Clin Inform       Date:  2013-06-12       Impact factor: 2.342

9.  Post-marketing studies: the work of the Drug Safety Research Unit.

Authors:  F J Mackay
Journal:  Drug Saf       Date:  1998-11       Impact factor: 5.606

10.  Comparison of video-recorded consultations with those in which patients' consent is withheld.

Authors:  T Coleman; T Manku-Scott
Journal:  Br J Gen Pract       Date:  1998-02       Impact factor: 5.386

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