Article Figures & Data
Figures
- Figure 1.
MOCC Trial desktop for the Long-form group.
- Figure 2.
MOCC Trial desktop for the short-form group.
Tables
APBRN Alabama Practice-Based Research Network Alabama Myra Crawford, PhD; T. Michael Harrington, MD; Jean Marie White BIGHORN Building InvestiGative practices for better Health Outcomes Research Network Colorado Peter Smith, MD; Linda Niebauer CaReNet Colorado Research Network Colorado Bennett Parnes, MD; Doug Fernald, MA; Linda Niebauer HPRN High Plains Research Network Colorado John Westfall, MD; Linda Zittleman, MSPH INET Indiana Family Practice Research Network Indiana Deborah Allen, MD; Carolyn Muegge MAFPRN Minnesota Academy of Family Physicians Research Network Minnesota Kevin Peterson, MD; Patricia Fontaine, MD; Tai Mendenhall, PhD; Jacky Hansen OKPRN Oklahoma Physicians Resource Research Network Oklahoma James W. Mold, MD; Zsolt Nagykaldi, PhD PSARN Penn State Ambulatory Research Network Pennsylvania Alan Adelman, MD; Marie Graybill, RN SoFla-PBRN South Florida Primary Care Practice-Based Research Network Florida John G. Ryan, DrPh; Fulton Vasquez, MD; Andrea Escobar STARNET South Texas Ambulatory Research Network Texas Walter Calmbach, MD; Michael Parchman, MD UNYNET Upstate New York Practice-Based Research Network New York Chester Fox, MD; Christine Kudla NRN National Research Network–American Academy of Family Physicians National Wilson Pace, MD; Mindy Spano - Table 2.
Demographic Characteristics of Participants by Group Assignment (Long- or Short-form Group)
Short-form Group n = 48 Long-form Group n = 50 P Value Gender (%male) 28 35 .23 Age (mean in years) 49.2 46.9 .89 Professional degree .60 MD/DO* 44 43 NP/PA 2 1 MS, MPH, PhD 2 4 Ethnicity .33 Non-Hispanic/Latino 46 46 Hispanic/Latino 1 3 Years in practice (mean) 21.7 20.8 .66 * MD, doctor of medicine; DO, doctor of osteopathy; NP, nurse practitioner; PA, physician’s assistant; MS, master of science; MPH, master of public health; PhD, doctoral degree.
Field Types (N = 4900) Data Elements Errors Totals (%) Short-form Group† Long-form Group‡ Numeric (n = 2450) Age 2 15 Weight 12 34 Blood Pressure 0 5 A1C 23 29 Creatinine 26 37 Numeric subtotal 183 (7.5%) Date (n = 980) Birth date 15 9 24 Visit date 13 6 19 Date subtotal 43 (4.4%) Text (n = 490) Name 28 56 84 Text subtotal 84 (17.1%) Select Option (n = 980) Pregnant 12 34 45 Gender 1 1 2 Select subtotal 47 (4.9%) Total 357 (7.3%) * Field types are groups of data elements with common characteristics. The MOCC Trial case report forms contained numeric fields (numbers only), date fields (numbers in specific date formatting), text fields (alphabetic characters), and select option fields (choice of options from a menu).
† Forty-eight participants entered 10 data items for 5 cases for a total of 2400 data fields.
‡ Fifty participants entered 10 data items for 5 cases for a total of 2500 data fields.
Field Type Percent Correct F(1,96) P Value Short Form Long Form Numeric 94.8 90.4 5.813 .018 Date 94.2 97.0 1.386 .242 Text 94.0 88.2 6.671 .011 Select option 95.0 86.4 6.805 .011 Total 94.5 90.8 —* .004 * t = 2.95.
Field Type Error Type Frequency Numeric Wrong numeral (within range) 37 Wrong numeral (outside range) 3 Text error 100 Missing (no data entered in field) 43 Date Wrong numeral (within range) 20 Wrong numeral (outside range) 2 Text error 11 Missing (no data entered in field) 10 Text Misspelling 49 Incorrect format or punctuation 35 Missing (no data entered in field) 0 Select option—gender Incorrect selection 0 Missing (no data entered in field) 2 Select option—pregnant Incorrect selection 5 Missing (no data entered in field) 22 Programming error 18 Total noncorrectable error rate 111 (2.3%) Total error rate 357 (7.3%) * A total of 4900 fields. Correctable errors are those amenable to programmable validations. Noncorrectable errors (underlined) would have escaped programmed range checks, forced data entry (inability to proceed past an empty data field), and formatting.
Erratum: Funding Statement
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