Evidence Table 30

Description of consumer characteristics studies addressing the impact of CHI applications on intermediate outcomes in miscellaneous conditions

Author, yearControl InterventionsAgeRace, n(%)IncomeEducation, n(%)SESGender, n(%)Marital Status, n(%)Other
CVD
Kukafka, 20021ControlNSNSNSNSNRNS
tailored Web-basedNSNSNSNSNRNS
Non-tailored Web-basedNSNSNSNSNRNS
Simkins, 19862Group1Mean, 64NSNSNSNRChronic medication/patient: mean, 2.95
Group 2Mean, 66NSNSNSNRChronic medication/patient: mean, 3.09
Group 3Mean, 67NSNSNSNRChronic medication/patient: mean, 2.78
Arthritis
Lorig, 20083Usual careMean, 52.5 range, 22–89 SD, 12.2White non-Hispanic, 425(93.7)NSMean, 15.7 SD, 3.11NRF, 425(90.5)Married: 425(71.1)Health-related Web site visits last 6 months: mean, 2.85 SD, 11.68
Online interventionMean, 52.2 SD, 10.9White non-Hispanic, 441(90.9)NSMean, 15.6 SD, 3.09NRF, 441(89.8)Married: 441(65.5)Health-related Web site visits last 6 months: mean, 2.87 SD, 11.2
Back pain
Buhrman, 20044Wait-listMean, 45 SD, 10.7NSNS<8 yr, 7(24.1)
8–12 yr, 6(21)
12–14 yr, 2 (6.9)
14–16 yr, 14 (48.3)
NRM, 11 (37.9)
F, 18 (62.1)
Sick leave:
Yes:12 (41.4)
No:17 (58.6)
Pain location:
Back, 12 (41.4)
Back plus other area, 17(58.6)
Previous treatment:
PT:11(37.9)
Chiropractor:12 (41.4)
Naprapathy:3 (10.3)
Psychologist:6 (20.7)
Pain Clinic:2 (6.9)
Internet-based pain management programMean, 43.5 SD, 10.3NSNS<8 yr, 2 (9.1)
8–12 yr, 6 (27)
12–14 yr, 3 (13.6)
14–16 yr, 11 (50)
NRM, 8 (36.4)
F, 14 (63.6)
Sick leave:
Yes: 5 (22.7)
No: 17 (77.3)
Pain location:
Back, 7 (31.8)
Back plus other area, 15 (68.2)
Previous treatment:
PT: 10 (45.5)
Chiropractor: 8 (36.4)
Nephropathy: 4 (18.2)
Psychologist: 3 (13.6)
Pain Clinic: 1 (4.5)
Behavioral risk factors
Oenema, 20085Control groupMean, 44.1 SD, 10.4NSNSEducational level:
High 453 (42)
Medium 324 (30)
Low 302 (28)
NRM, 507 (47)
F, 572 (53)
Internet groupMean, 43.1 SD, 10.4NSNSEducational level:
High 432 (40)
Medium 3 67 (34)
Low 281 (26)
NRM, 497 (46)
F, 583 (54)
Breast cervical prostate and laryngeal cancer
Jones, 19996Booklet informationNSNSNSNSNSNSNSNS
NSNSNSNSNSNSNSNS
Cervical cancer
Campbell, 19977Survey without computer generated printed feed back< 50 yr, (78)Australian born, (94)NS8–12 yr,(55)NRMarried or living with partner, (71)Full/part time work, (44) NS
interventionNSNSNSNSNRNS
Cancer, Prostate
Forsch, 20088ControlMean, 59 SD, 5.1White non-Hispanic, 133(880)
Black non-Hispanic, 4(2.6)
Latino/Hispanic, 6(4)
API, 6(4)
Not specified, 2 (1.3)
NSHigh school or less 6(4)
Some college44(29.1)
College 42(27.8)
Some graduate school 10(6.6)
NRNSMarried 123(81.5)
Other 28(18.5)
Internet access, n, (%): home 127(84.1)
work 24(15.9)
Traditional decision aidMean, 58.5 SD, 5.5White non-Hispanic, 133(85.8)
Black non-Hispanic, 6(3.9)
Latino/Hispanic, 7(4.5)
API, 4(2.6)
Not specified, 5 (3.2),
NSHigh school or less 8(5.2)
Some college 39(25.2)
College44(28.4)
Some graduate school13(8.4)
NRNSMarried 119(76.8)
Other 36(23.2)
Internet access, n. (%): home 136(87.7)
work 19(12.3)
Chronic disease trajectory modelMean, 58.4 median, range, SD, 5.6White non-Hispanic, 127(83)
Black non-Hispanic, 2(1.3)
Latino/Hispanic, 15(9.8)
API, 7(4.6)
NSHigh school or less 6(3.9)
Some college40(26.1)
College 35(22.9)
Some graduate school 12(7.8)
NRNSMarried 114(74.5)
Other 39(25.5)
Internet access, n, (%): home 130(85)
work 12(15)
Caregiver decision making
Brennan, 19959Comparison groupMean, 64White non-Hispanic, (72)NS12–16 yr, (86)NRF,(67)
ExperimentalNSNSNSNSNRNS
Change in Health behavior
Harari, 200810Usual care control groupMean, 74.2 SD, 6NSNSNSNRF, 564(52.9)Fair or poor general-health perception: 271 (25.4)
Ischemic heart disease: 175 (16.4)
diabetes:73(6.9
HRA-O intervention groupMean, 74.7 SD, 6.3NSNSNSNRF, 526(56.0)Fair or poor general-health perception: 207 (22.0)
Ischemic heart disease: 170 (18.1)
diabetes: 70(7.5)
Paperny, 199011Control: Group Q: 251 participants those who has given a written questionnaire before physical exam and printout shared with the clinicianmean, 15.1 SD, 1.46White,(33)
Hawaiian, (12)
Oriental, (32)
Pacific/mixture, (12)
Other (11)
Financial assistance (10)NRNRM, 131(52)NS
Intervention Group (1): 265 participants those who was given computer questionnaire after the physical exam and printout remain privatemean, 14.9 SD, 1.44White (33)
Hawaiian (13)
Oriental (30)
Pacific/mixture (13)
Other (11)
(10)NRM, 154(58)
Group (2): 294 participants those who was given computer questionnaire before the physical exam and printout shared with clinicianmean, 15.0 SD, 1.37White (34)
Hawaiian (14)
Oriental (32)
Pacific/mixture, (11)
Other, (9)
(11)NRNRM, 176 (60)NS
Headache
Devineni, 200512DelayedMean, 43.6 SD, 11.8NSNSNSNRM, 10 (21)
F, 37 (79)
Headache Index score: Mean, 35.5 SD, 15.5
Medication Index: Mean, 0.85 SD 1.04
Yr computing: Mean, 5.8 SD, 3.6
TreatmentMean, 43.6 SD, 12NSNSNSNRM, 5 (12)
F, 34 (88)
HA Index: Mean 31.8 SD 17
Medication Index: Mean 0.93 SD 0.99
Yrs computing: Mean: 3.8 SD 2.4
HIV/AIDS
Flatley-Brennan, 199813Received brochureMean, 34 SD, 10.8White non-Hispanic, (58)NSMean, 14 SD, 2.7NRLiving Alone: mean, 27
Received computer interventionMean, 33 SD, 7.3White non-Hispanic, (64)NSMean, 13 SD, 2.6NRLiving Alone: mean, 29
Gustafson, 199414ControlNRNRNRNRNRNRHIV-infected people
CHESSNRNRNRNRNRNRHIV-infected people
Menopause HRT
Rostom, 200215Audio bookletMean, 53.8 SD, 8.13NSNS8–12 yr, 7 (26.9)
12–16y r, 19(73.1)
NRCurrently not using HRT: 13, (50.0)
Menses: 7, (26.9)
Contemplating the decision: 6, 2(3.1)
Strongly leaning: 18, (69.2)
Interactive computerized DAMean, 50.6 SD, 7.67NSNS8–12yr, 6 (24)
12–16 yr, 19 (76)
NRCurrently not using HRT: 19 (76.0)
Menses: 16 (64)
Contemplating the decision: 8, (32)
Strongly leaning: 16 (64.0)
Schapira, 200716Printed pamphletMean, 57.8 SD, 7.5White non-Hispanic, 64 (73)
Black non-Hispanic, 22(25)
AIAN, 2 (2)
USD <19,999, 25 (28) 20,000–34,999, 32 (36) 35,000–49999, 17 (19) 50,000–74,999, 11 (13) 75,000+, 3 (3)NSNRNS
Computer-based decision aidMean, 57.8 SD, 7.2White non-Hispanic, 64 (72)
Black non-Hispanic, 24 (27)
AIAN, 1(1)
USD <19,999, 31 (35) 20,000–34,999, 22 (25) 35,000–49999, 19 (21) 50,000–74,999, 11 (12) 75,000+, 6 (7)NSNRNS
Preventing falls in the elderly
Yardley, 200717ControlNSNSNSNSNRM, 42 (31)
F, 94 (69)
Self-rated balance:
good 13 (9.5)
quite good 32 (23.5)
have some problems 91 (67)
health condition (co morbidity):
unsteadiness 97(71)
poor vision 34 (25)
take >=4 meds 60 (44)
take <4 meds38 (28)
TailoredNSNSNSNSNRM, 54 (37)
F, 90 (63)
Self-rated balance:
good, 11 (8)
quite good 38 (26)
have some problems 95 (66)
health condition (co morbidity):
unsteadiness 106(74)
poor vision 43(30)
take >=4 meds 51 (35)
take <4 meds52 (36)
Use of contraception
Chewning, 19918Standard informationNSNSNSNSNRNS
Computerized decisionNSNSNSNSNRNS

NR= Not Reported, NS= Not Significant SD= Standard Deviation, SES= Socioeconomic Status, Yr= year, API = Asian, Pacific Islander, AIAN = American Indian/Alaska Native, CVD = Cardiovascular Disease, F = female, M = Male

Reference List

1

Kukafka R, Lussier YA, Eng P, Patel VL, Cimino JJ. Web-based tailoring and its effect on self-efficacy: results from the MI-HEART randomized controlled trial. Proc AMIA Symp 2002; 410–4.

2

Simkins CV, Wenzloff NJ. Evaluation of a computerized reminder system in the enhancement of patient medication refill compliance. Drug Intell Clin Pharm 1986; 20(10):799–802.

3

Lorig KR, Ritter PL, Laurent DD, Plant K. The internet-based arthritis self-management program: a one-year randomized trial for patients with arthritis or fibromyalgia. Arthritis Rheum 2008; 59(7):1009–17.

4

Buhrman M, Faltenhag S, Strom L, Andersson G. Controlled trial of Internet-based treatment with telephone support for chronic back pain. Pain 2004; 111(3):368–77.

5

Oenema A, Brug J, Dijkstra A, de Weerdt I, de Vries H. Efficacy and use of an internet-delivered computer-tailored lifestyle intervention, targeting saturated fat intake, physical activity and smoking cessation: a randomized controlled trial. Ann Behav Med 2008; 35(2):125–35.

6

Jones R, Pearson J, McGregor S et al. Randomised trial of personalised computer based information for cancer patients. BMJ 1999; 319(7219):1241–7.

7

Campbell E, Peterkin D, Abbott R, Rogers J. Encouraging underscreened women to have cervical cancer screening: the effectiveness of a computer strategy. Prev Med 1997; 26(6):801–7.

8

Frosch DL, Bhatnagar V, Tally S, Hamori CJ, Kaplan RM. Internet patient decision support: a randomized controlled trial comparing alternative approaches for men considering prostate cancer screening. Arch Intern Med 2008; 168(4):363–9.

9

Brennan PF, Moore SM, Smyth KA. The effects of a special computer network on caregivers of persons with Alzheimer's disease. Nurs Res 1995; 44(3):166–72.

10

Harari D, Iliffe S, Kharicha K et al. Promotion of health in older people: a randomised controlled trial of health risk appraisal in British general practice. Age Ageing 2008; 37(5):565–71.

11

Paperny DM, Aono JY, Lehman RM, Hammar SL, Risser J. Computer-assisted detection and intervention in adolescent high-risk health behaviors. 1990; 116(3):456–62.

12

Devineni T, Blanchard EB. A randomized controlled trial of an internet-based treatment for chronic headache. Behav Res Ther 2005; 43(3):277–92.

13

Flatley-Brennan P. Computer network home care demonstration: a randomized trial in persons living with AIDS. Comput Biol Med 1998; 28(5):489–508.

14

Gustafson DH, Hawkins RP, Boberg EW, Bricker E, Pingree S, Chan CL. The use and impact of a computer-based support system for people living with AIDS and HIV infection. 1994; 604–8.

15

Rostom A, O'Connor A, Tugwell P, Wells G. A randomized trial of a computerized versus an audio-booklet decision aid for women considering post-menopausal hormone replacement therapy. Patient Educ Couns 2002; 46(1):67–74.

16

Schapira MM, Gilligan MA, McAuliffe T, Garmon G, Carnes M, Nattinger AB. Decision-making at menopause: a randomized controlled trial of a computer-based hormone therapy decision-aid. Patient Educ Couns 2007; 67(1–2):100–7.

17

Yardley L, Nyman SR. Internet provision of tailored advice on falls prevention activities for older people: a randomized controlled evaluation. Health Promot Int 2007; 22(2):122–8.

18

Chewning B, Mosena P, Wilson D et al. Evaluation of a computerized contraceptive decision aid for adolescent patients. Patient Educ Couns 1999; 38(3):227–39.

Kukafka R, Lussier YA, Eng P, Patel VL, Cimino JJ. Web-based tailoring and its effect on self-efficacy: results from the MI-HEART randomized controlled trial. Proc AMIA Symp 2002; 410–4.

Simkins CV, Wenzloff NJ. Evaluation of a computerized reminder system in the enhancement of patient medication refill compliance. Drug Intell Clin Pharm 1986; 20(10):799–802.

Lorig KR, Ritter PL, Laurent DD, Plant K. The internet-based arthritis self-management program: a one-year randomized trial for patients with arthritis or fibromyalgia. Arthritis Rheum 2008; 59(7):1009–17.

Buhrman M, Faltenhag S, Strom L, Andersson G. Controlled trial of Internet-based treatment with telephone support for chronic back pain. Pain 2004; 111(3):368–77.

Oenema A, Brug J, Dijkstra A, de Weerdt I, de Vries H. Efficacy and use of an internet-delivered computer-tailored lifestyle intervention, targeting saturated fat intake, physical activity and smoking cessation: a randomized controlled trial. Ann Behav Med 2008; 35(2):125–35.

Jones R, Pearson J, McGregor S et al. Randomised trial of personalised computer based information for cancer patients. BMJ 1999; 319(7219):1241–7.

Campbell E, Peterkin D, Abbott R, Rogers J. Encouraging underscreened women to have cervical cancer screening: the effectiveness of a computer strategy. Prev Med 1997; 26(6):801–7.

Frosch DL, Bhatnagar V, Tally S, Hamori CJ, Kaplan RM. Internet patient decision support: a randomized controlled trial comparing alternative approaches for men considering prostate cancer screening. Arch Intern Med 2008; 168(4):363–9.

Brennan PF, Moore SM, Smyth KA. The effects of a special computer network on caregivers of persons with Alzheimer's disease. Nurs Res 1995; 44(3):166–72.

Harari D, Iliffe S, Kharicha K et al. Promotion of health in older people: a randomised controlled trial of health risk appraisal in British general practice. Age Ageing 2008; 37(5):565–71.

Paperny DM, Aono JY, Lehman RM, Hammar SL, Risser J. Computer-assisted detection and intervention in adolescent high-risk health behaviors. 1990; 116(3):456–62.

Devineni T, Blanchard EB. A randomized controlled trial of an internet-based treatment for chronic headache. Behav Res Ther 2005; 43(3):277–92.

Flatley-Brennan P. Computer network home care demonstration: a randomized trial in persons living with AIDS. Comput Biol Med 1998; 28(5):489–508.

Gustafson DH, Hawkins RP, Boberg EW, Bricker E, Pingree S, Chan CL. The use and impact of a computer-based support system for people living with AIDS and HIV infection. 1994; 604–8.

Rostom A, O'Connor A, Tugwell P, Wells G. A randomized trial of a computerized versus an audio-booklet decision aid for women considering post-menopausal hormone replacement therapy. Patient Educ Couns 2002; 46(1):67–74.

Schapira MM, Gilligan MA, McAuliffe T, Garmon G, Carnes M, Nattinger AB. Decision-making at menopause: a randomized controlled trial of a computer-based hormone therapy decision-aid. Patient Educ Couns 2007; 67(1–2):100–7.

Yardley L, Nyman SR. Internet provision of tailored advice on falls prevention activities for older people: a randomized controlled evaluation. Health Promot Int 2007; 22(2):122–8.

Chewning B, Mosena P, Wilson D et al. Evaluation of a computerized contraceptive decision aid for adolescent patients. Patient Educ Couns 1999; 38(3):227–39.

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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