Literature DB >> 2161309

Computer-assisted data collection in multicenter epidemiologic research. The Atherosclerosis Risk in Communities Study.

D H Christiansen1, J D Hosking, A L Dannenberg, O D Williams.   

Abstract

The Atherosclerosis Risk in Communities (ARIC) Study uses a computer-assisted data collection (CADC) system in which staff at four Field Centers directly record into microcomputers much of the data obtained from the 16,000 study participants during 4 hours of interviews and exams. A pilot study was conducted to evaluate the feasibility of training Field Center staff in the use of a CADC system and to assess study participants' reaction to such a system. When asked to compare CADC to a paper-based system, all five of the pilot study staff members preferred the CADC system. The 16 pilot study participants either had no preference (63%) or preferred CADC (37%). With respect to data quality, no systematic differences between the two methods of data collection were evident in the pilot study. The CADC system required approximately 10% longer for data collection, keying, and editing than the paper-based system took for collection alone. Immediate data entry in a CADC system may improve data quality by eliminating a transcription step and by allowing prompt detection of suspicious values while the participant is still available to provide confirmation or correction. CADC simplifies data collection by automating complex branching questions and can enhance data completeness. The ARIC CADC system is based on commercially available software customized by the study's Coordinating Center. The microcomputer-based CADC system described in this report may serve as the prototype for future epidemiologic studies that collect standardized data on large numbers of participants at a small number of sites.

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Year:  1990        PMID: 2161309     DOI: 10.1016/0197-2456(90)90004-l

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  8 in total

Review 1.  Defining and improving data quality in medical registries: a literature review, case study, and generic framework.

Authors:  Danielle G T Arts; Nicolette F De Keizer; Gert-Jan Scheffer
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

Review 2.  Treatment decisions in multiple sclerosis - insights from real-world observational studies.

Authors:  Maria Trojano; Mar Tintore; Xavier Montalban; Jan Hillert; Tomas Kalincik; Pietro Iaffaldano; Tim Spelman; Maria Pia Sormani; Helmut Butzkueven
Journal:  Nat Rev Neurol       Date:  2017-01-13       Impact factor: 42.937

3.  Interviewer variability - quality aspects in a case-control study.

Authors:  Kerstin J Blomgren; Anders Sundström; Gunnar Steineck; Bengt-Erik Wiholm
Journal:  Eur J Epidemiol       Date:  2006       Impact factor: 8.082

4.  A computer-assisted data collection system for use in a multicenter study of American Indians and Alaska Natives: SCAPES.

Authors:  Roger L Edwards; Sandra L Edwards; James Bryner; Kelly Cunningham; Amy Rogers; Martha L Slattery
Journal:  Comput Methods Programs Biomed       Date:  2008-01-18       Impact factor: 5.428

5.  Characteristics and causes of penetrating eye injuries reported to the National Eye Trauma System Registry, 1985-91.

Authors:  L M Parver; A L Dannenberg; B Blacklow; C J Fowler; R J Brechner; J M Tielsch
Journal:  Public Health Rep       Date:  1993 Sep-Oct       Impact factor: 2.792

Review 6.  A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection.

Authors:  Shannon J Lane; Nancy M Heddle; Emmy Arnold; Irwin Walker
Journal:  BMC Med Inform Decis Mak       Date:  2006-05-31       Impact factor: 2.796

7.  Blood pressure measures and electrocardiogram-defined myocardial infarction in an Iranian population: Tehran Lipid and Glucose study.

Authors:  Arash Ghanbarian; Arash Rashidi; Mohammad Madjid; Fereidoun Azizi
Journal:  J Clin Hypertens (Greenwich)       Date:  2004-02       Impact factor: 3.738

8.  Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II.

Authors:  Fereidoun Azizi; Arash Ghanbarian; Amir Abbas Momenan; Farzad Hadaegh; Parvin Mirmiran; Mehdi Hedayati; Yadollah Mehrabi; Saleh Zahedi-Asl
Journal:  Trials       Date:  2009-01-25       Impact factor: 2.279

  8 in total

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