title: Use of diabetes data management software reports by health care providers, patients with diabetes, and caregivers improves accuracy and efficiency of data analysis and interpretation compared with traditional logbook data: first results of the Accu-Chek Connect Reports Utility and Efficiency Study (ACCRUES).
abstract: We assessed users' proficiency and efficiency in identifying and interpreting self-monitored blood glucose (SMBG), insulin, and carbohydrate intake data using data management software reports compared with standard logbooks. This prospective, self-controlled, randomized study enrolled insulin-treated patients with diabetes (PWDs) (continuous subcutaneous insulin infusion [CSII] and multiple daily insulin injection [MDI] therapy), patient caregivers [CGVs]) and health care providers (HCPs) who were naïve to diabetes data management computer software. Six paired clinical cases (3 CSII, 3 MDI) and associated multiple-choice questions/answers were reviewed by diabetes specialists and presented to participants via a web portal in both software report (SR) and traditional logbook (TL) formats. Participant response time and accuracy were documented and assessed. Participants completed a preference questionnaire at study completion. All participants (54 PWDs, 24 CGVs, 33 HCPs) completed the cases. Participants achieved greater accuracy (assessed by percentage of accurate answers) using the SR versus TL formats: PWDs, 80.3 (13.2)% versus 63.7 (15.0)%, P < .0001; CGVs, 84.6 (8.9)% versus 63.6 (14.4)%, P < .0001; HCPs, 89.5 (8.0)% versus 66.4 (12.3)%, P < .0001. Participants spent less time (minutes) with each case using the SR versus TL formats: PWDs, 8.6 (4.3) versus 19.9 (12.2), P < .0001; CGVs, 7.0 (3.5) versus 15.5 (11.8), P = .0005; HCPs, 6.7 (2.9) versus 16.0 (12.0), P < .0001. The majority of participants preferred using the software reports versus logbook data. Use of the Accu-Chek Connect Online software reports enabled PWDs, CGVs, and HCPs, naïve to diabetes data management software, to identify and utilize key diabetes information with significantly greater accuracy and efficiency compared with traditional logbook information. Use of SRs was preferred over logbooks.
authors.affiliation: Memorial Hospital Diabetes Center, University of Colorado Health Center, Colorado Springs Colorado, USA.
authors.forename: Deborah A
authors.initials: DA
authors.lastname: Hinnen
authors.affiliation: Roche Diagnostics, Indianapolis, IN, USA.
authors.forename: Ann
authors.initials: A
authors.lastname: Buskirk
authors.affiliation: Biostat International, Inc, University Point Place, Tampa, FL, USA.
authors.forename: Maureen
authors.initials: M
authors.lastname: Lyden
authors.affiliation: Roche Diagnostics, Indianapolis, IN, USA.
authors.forename: Linda
authors.initials: L
authors.lastname: Amstutz
authors.affiliation: Roche Diagnostics, Indianapolis, IN, USA.
authors.forename: Tracy
authors.initials: T
authors.lastname: Hunter
authors.affiliation: CGParkin Communications, Boulder City, NV, USA chris@cgparkin.org.
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Parkin
authors.affiliation: Roche Diagnostics, Indianapolis, IN, USA.
authors.forename: Robin
authors.initials: R
authors.lastname: Wagner
mesh_terms: D015190:Blood Glucose Self-Monitoring / Q000379:methods*; D017028:Caregivers; D003920:Diabetes Mellitus; D005260:Female; D006282:Health Personnel; D006801:Humans; D019451:Information Management / Q000379:methods*; D008297:Male; D008875:Middle Aged; D057240:Patient Preference; D012984:Software; D011795:Surveys and Questionnaires
keywords: SMBG; diabetes software; insulin; self-management; self-monitoring of blood glucose