Table 17: Impact of eTools on HbA1c Tests Conducted.
| Author, Year | Study Design | Length of Follow-up | Sample Size, n (Intervention/Control) | Results (Intervention/Control) | Effect Estimate (95% CI) |
|---|---|---|---|---|---|
| Montori et al, 2002 (37) | RCT | 24 months | 399/208 | 99%/94% of patients | aORa4.5 (1.0–19.5) |
| Branger et al, 1999 (32) | Observational | 1 year | 215/60 | 177 (0.8)/9 (0.2) measures (per patient) | Mean differenceb 0.60 (0.21−0.99) |
| Cebul et al, 2011 (38) | Observational | 1 year | 24,547/2,660 | 94.6%/85.6% of patients | aDiffb 7.2 (0.4–14.0) |
| Henderson et al, 2010 (36) | Observational | 16 months | 3,432/688 encounters | 25.1/17.6 per 100 encounters | aRCc 3.10 (NR) P = 0.24 |
| Herrin et al, 2012 (40) | Observational | 5 years | 10,017/35,033 patient years | 97.6%/92.7% of patients | aORd 0.6 (0.5−0.6) |
| Wells et al, 1996 (42) | Observational | 23 months | 2,049/1,190 | 93%/73% of patients | OR 4.89 (3.95–6.04) |
Abbreviations: aDiff, adjusted risk difference; aOR, adjusted odds ratio; aRC, adjusted regression correlation; CI, confidence interval; eTool, electronic tool; FRACGP, Fellowship of the Royal Australian College of General Practitioners; GP, general practitioner; HbA1c, hemoglobin A1c; NR, not reported; OR, odds ratio; RCT, randomized controlled trial.
Adjusted with logistic regression, further details not provided.
Adjusted for insurance type, age, sex, race/ethnic group, language preference, estimated household income, and education level.
Adjusted for GP age, GP sex, FRACGP status, work in deputizing services in preceding month, bulk billing for all patients, practice accreditation status, presence of a practice nurse.
Adjusted for age, sex, insulin usage, and year of study.