Literature DB >> 16141025

The accuracy and completeness of data collected by prospective and retrospective methods.

J Tobias Nagurney1, David F M Brown, Swati Sane, Justin B Weiner, Andrew C Wang, Yuchiao Chang.   

Abstract

OBJECTIVES: To describe and test a model that compares the accuracy of data gathered prospectively versus retrospectively among adult emergency department patients admitted with chest pain.
METHODS: The authors developed a model of information flow from subject to medical record to the clinical study case report form, based on a literature review. To test this model, a bidirectional (prospective and retrospective) study was conducted, enrolling all eligible adult patients who were admitted with a chief complaint of chest pain. The authors interviewed patients in the emergency department to determine their chest pain history and established a prospective database; this was considered the criterion standard. Then, patient medical records were reviewed to determine the accuracy and completeness of the information available through a retrospective medical record review.
RESULTS: The model described applies the concepts of reliability and validity to information passed on by the study subject, the clinician, and the medical record abstractor. This study was comprised of 104 subjects, of which 63% were men and the median age was 63 years. Subjects were uncertain of responses for 0-8% of questions and responded differently upon reinterview for subsets of questions 0-30% of the time. The sensitivity of the medical record for risk factors for coronary artery disease was 0.77 to 0.93. Among the 88 subjects (85%) who indicated that their chest pain was substernal or left chest, the medical record described this location in 44%. Timing of the chest pain was the most difficult item to accurately capture from the medical record.
CONCLUSIONS: Information obtained retrospectively from the abstraction of medical records is measurably less accurate than information obtained prospectively from research subjects. For certain items, more than half of the information is not available. This loss of information is related to the data types included in the study and by the assumptions that a researcher performing a retrospective study makes about implied versus explicitly stated responses. A model of information flow that incorporates the concepts of reliability and validity can be used to measure some of the loss of information that occurs at each step along the way from subject to clinician to medical record abstractor.

Entities:  

Mesh:

Year:  2005        PMID: 16141025     DOI: 10.1197/j.aem.2005.04.021

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  25 in total

1.  Incidence, severity and preventability of medication-related visits to the emergency department: a prospective study.

Authors:  Peter J Zed; Riyad B Abu-Laban; Robert M Balen; Peter S Loewen; Corinne M Hohl; Jeffrey R Brubacher; Kerry Wilbur; Matthew O Wiens; Leslie J Samoy; Katie Lacaria; Roy A Purssell
Journal:  CMAJ       Date:  2008-06-03       Impact factor: 8.262

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

3.  A smart decision: smartphone use for operative data collection in arthroscopic shoulder instability surgery.

Authors:  Jill Mohr; Gregory J Strnad; Lutul Farrow; Kate Heinlein; Carolyn M Hettrich; Morgan H Jones; Anthony Miniaci; Eric Ricchetti; James Rosneck; Mark Schickendantz; Paul Saluan; Jose F Vega; Kurt P Spindler
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

4.  Smartphone Data Capture Efficiently Augments Dictation for Knee Arthroscopic Surgery.

Authors:  Joseph Featherall; Sameer R Oak; Gregory J Strnad; Lutul D Farrow; Morgan H Jones; Anthony A Miniaci; Richard D Parker; James T Rosneck; Paul M Saluan; Kurt P Spindler
Journal:  J Am Acad Orthop Surg       Date:  2019-07-22       Impact factor: 3.020

Review 5.  Recognising and dealing with complications in orthopaedic surgery.

Authors:  D Ricketts; R A Rogers; T Roper; X Ge
Journal:  Ann R Coll Surg Engl       Date:  2016-12-05       Impact factor: 1.891

6.  A comparison of the results of prospective and retrospective cohort studies in the field of digestive surgery.

Authors:  Tomohiko Ukai; Satoru Shikata; Takeo Nakayama; Yousuke C Takemura
Journal:  Surg Today       Date:  2017-02-15       Impact factor: 2.549

Review 7.  Cost of diabetic eye, renal and foot complications: a methodological review.

Authors:  Solène Schirr-Bonnans; Nadège Costa; Hélène Derumeaux-Burel; Jérémy Bos; Benoît Lepage; Valérie Garnault; Jacques Martini; Hélène Hanaire; Marie-Christine Turnin; Laurent Molinier
Journal:  Eur J Health Econ       Date:  2016-03-14

8.  Evaluation of data quality in a laboratory-based surveillance of M. tuberculosis drug resistance and impact on the prevalence of resistance: France, 2004.

Authors:  P M Khuê; A Mallet; N Veziris; V Jarlier; J Robert
Journal:  Epidemiol Infect       Date:  2007-11-21       Impact factor: 2.451

9.  Attention Deficit Hyperactivity Disorder Presentations to The Child and Adolescent Mental Health Urgent Consult Clinic.

Authors:  Jennifer Martins; Nasreen Roberts; Robert Nesdole; Pappu Srinivasa Reddy; Dianne Groll
Journal:  J Can Acad Child Adolesc Psychiatry       Date:  2019-08-01

10.  Agreement between questionnaire and medical records on some health and socioeconomic problems among poisoning cases.

Authors:  Ahmed I Fathelrahman
Journal:  BMC Res Notes       Date:  2009-09-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.