Evidence Table 21

Description of consumer characteristics in studies addressing the impact of CHI applications on intermediate outcomes in diabetes (KQ1b)

Author, yearControl InterventionsAgeRace, n (%)IncomeEducation, n(%)SESGender n (%)Marital StatusOther outcomes
Diabetes mellitus
Glasgow, 20031Basic informationBaseline characteristics not reported
Tailored self-management intervention
Homko, 20072Usual care, Paper logbooksMean, 29.2 SD, 6.7White non-Hispanic, 6(24)
Black non-Hispanic, 12(48)
Latino/Hispanic, 4(16) API, 3(12)
USD <15,000, 10(40)
15,000-$34,999, 3(12)
35,000-$54,999, 3(12)
>55,000, 3(12)
missing, 6(24)
< 8 yr, 2(8)
8–12 yr, 12(48)
12–16 yr, 10(40)
NRBMI: mean, 32.5 SD, 7.1
Gravidity: mean, 2.9 SD, 2.3
Glucose challenge (mg/dl): mean, 179.1 SD, 45.2
GA at diagnosis (weeks): mean, 27.7 SD, 3.8
Telemedicine (website to document glucose levels and to communicate with health-care team)Mean, 29.8 SD, 6.6White non-Hispanic, 8(25)
Black non-Hispanic, 14(44)
Latino/Hispanic, 7(22)
API, 3(9)
USD <15,000, 8(25)
15,000-$34,999, 8(25)
35,000-$54,999, 3(9)
>55,000, 6(19)
missing, 7(22)
< 8 yr, 4(12.5), 8–12 yr, 12(37.5)
12–16 yr,15(47)
NRBMI : mean, 33.4 SD, 8.6
gravidity: mean, 3 SD, 1.8
glucose challenge (mg/dl): mean, 159.5 SD, 46.3
GA at diagnosis (weeks): mean, 27.5 SD, 4.2
McKay, 20013Internet information onlyMean, 52.3White non-Hispanic, (82)NS12–16 yr, (50 )NRTreatment: Taking Insulin: (22) Diagnosed with diabetes for over one or more co morbid chronic disease: (75)
Internet-based physical activity interventionNSNSNSNSNRNS
Richardson, 2007 4 DiabetesEmploying lifestyle goals for overall steps recorded from the pedometer52 +- 12W (76) B (18) O (6)<30K-18
30–70K-18
>70K-65 (percent)
HS DIP/GED: 6
Some Coll:47
Coll Degree: 18
Grad Degree: 29
NSM (29)
Employing structured goals that emphasize PA using computerized feedback mechanisms53 +-9W (77) B (8) O (15)<30K-8
30–70K-31
>70K-62 (percent)
HS DIP/GED: 8
Some Coll:15
Coll Degree:46
Grad Degree:31
NSM (38)
Wangberg, 20065Low self-efficacyMean, 37.3 range, 33.2–41.4NSNS8–12 yr, (11)NRF, (63)Type I Diabetes: (72)
Insulin use: (78)
HbA1C: (7.7)
High self-efficacyMean, 42.9 range, 38.0–47.9NSNS8–12 yr, (8)NRF, (50)Type I Diabetes: (50)
Insulin use: (71)
HbA1C: (7.2)
Wise, 1986 6 DiabetesIDDM42 +/− 16NSNSNSSex ratio varied from 0.42 to 0.60.
The study does not specify any other detail
Control Group (AGE +/− SE)
Assessment on KAP44 +/− 17
KAP –Feedback – KAP45 +/− 16
KAP –Interactive computer –KAP41 +/− 18
NIDDM55 +/− 21NSNSNSSex ratio varied from 0.42 to 0.60. The study does not specify any other detail
Control Group (AGE +/− SE)
Assessment on KAP57 +/− 23
KAP –Feedback – KAP58 +/− 17
KAP –Interactive computer –KAP56 +/− 16
Diabetes, heart disease or chronic lung disease
Lorig , 20067Usual careMean, 57.6 SD, 11.3White non-Hispanic, (88.7)NSNSNRF, (71.6)
Online interventionMean, 57.4 SD, 10.5White non-Hispanic, (87.3)NSNSNRF, (71.2)

F = female, M = male, NS = Not specified, NR = Not reported, SES = Socio economic status, API = Asian/Pacific Islander, mg/dl = milligrams/deciliter, HbA1c = hemoglobin A1c, yr = year, USD = united states dollar

Reference List

1

Glasgow RE, Boles SM, McKay HG, Feil EG, Barrera M Jr. The D-Net diabetes self-management program: long-term implementation, outcomes, and generalization results. Prev Med 2003; 36(4):410–9.

2

Homko CJ, Santamore WP, Whiteman V et al. Use of an internet-based telemedicine system to manage underserved women with gestational diabetes mellitus. Diabetes Technol Ther 2007; 9(3):297–306.

3

McKay HG, King D, Eakin EG, Seeley JR, Glasgow RE. The diabetes network internet-based physical activity intervention: a randomized pilot study. Diabetes Care 2001; 24(8):1328–34.

4

Richardson CR, Mehari KS, McIntyre LG et al. A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes. Int J Behav Nutr Phys Act 2007; 4:59.

5

Wangberg SC. An Internet-based diabetes self-care intervention tailored to self-efficacy. Health Educ Res 2008; 23(1):170–9.

6

Wise PH, Dowlatshahi DC, Farrant S. Effect of computer-based learning on diabetes knowledge and control. 1986; 9(5):504–8.

7

Lorig KR, Ritter PL, Laurent DD, Plant K. Internet-based chronic disease self-management: a randomized trial. Med Care 2006; 44(11):964–71.

From: Appendix G

Cover of Impact of Consumer Health Informatics Applications
Impact of Consumer Health Informatics Applications.
Evidence Reports/Technology Assessments, No. 188.
Gibbons MC, Wilson RF, Samal L, et al.

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