1. Science Panel on Interactive Communication and Health
Wired for health and well-being: the emergence of interactive health communication. In: Eng TR, Gustafson DH, editors. , eds. Washington, DC: US Department of Health and Human Services, U.S. Government Printing Office, 1999.
2. Gustafson DH, Bosworth K, Hawkins RP, et al.
CHESS: a computer-based system for providing information, referrals, decision support and social support to people facing medical and other health-related crises. Paper presented at: Annual Symposium on Computer Applications in Medical Care, 1992.
Baltimore, MD: American medical Informatics Association.
3. Brennan PF, Ripich S, Moore SM.
The use of home-based computers to support persons living with AIDS/ARC. J Community Health Nurs
1991;8:3–14. [PubMed] 4. Eysenbach G.
The impact of the Internet on cancer outcomes. CA Cancer J Clin
2003;53:356–71. [PubMed] 5. Gustafson DH, Hawkins R, Boberg E, et al.
Impact of a patient-centered, computer-based health information/support system. American Journal of Preventive Medicine
1999;16:1–9. [PubMed] 6. Martinez A, Everss E, Rojo-Alvarez JL, et al.
A systematic review of the literature on home monitoring for patients with heart failure. J Telemed Telecare
7. Scott RL, Park MH, Uber PA, et al.
Electronic home monitoring reduces medical resource utilization in chronic heart failure: A prospective investigation of the HomMed-Sentry telemonitoring system. J Card Fail
8. Hailey D, Roine R, Ohinmaa A.
Systematic review of evidence for the benefits of telemedicine. J Telemed Telecare
2002;8:1–30. [PubMed] 9. Louis AA, Turner T, Gretton M, et al.
A systematic review of telemonitoring for the management of heart failure. Eur J Heart Fail
2003;5:583–90. [PubMed] 10. Kashem A, Droogan MT, Santamore WP, et al.
Web-based Internet telemedicine management of patients with heart failure. Telemed J E Health
2006;12:439–47. [PubMed] 11. Stoop AP, Van't Riet A, Berg M.
Using information technology for patient education: realizing surplus value?
Patient Educ Couns
2004;54:187–95. [PubMed] 12. Williams P, Nicholas D, Huntington P.
Non use of health information kiosks examined in an information needs context. Health Info Libr J
2003;20:95–103. [PubMed] 13. Rogers A, Mead N.
More than technology and access: primary care patients' views on the use and non-use of health information in the Internet age. Health Soc Care Community
2004;12:102–10. [PubMed] 14. Liddy C, Dusseault JJ, Dahrouge S, et al.
Telehomecare for patients with multiple chronic illnesses: Pilot study. Can Fam Physician
2008;54:58–65. [PMC free article] [PubMed] 15. Kaufman DR, Patel VL, Hilliman C, et al.
Usability in the real world: Assessing medical information technologies in patients' homes. J Biomed Inform
16. Patterson TL, Shaw WS, Masys DR.
Improving health through computer self-help programs: theory and practice. In: Brennan PF, Schneider SJ, Tornquist E, editors. , eds. Information Networks for Community Health. New York: Springer, 1997:219–46.
17. Jimison H, Gorman P, Woods S, et al.
Barriers and Drivers of Health Information Technology Use for the Elderly, Chronically Ill, and Underserved. Rockville, MD: Agency for Healthcare Research and Quality, 2008. Evidence Report/Technology Assessment No. 175 (Prepared by the Oregon Evidence-based Practice Center under Contract No. 290-02-0024), AHRQ Publication No. 09-E004.
18. Or CKL, Karsh B.
A systematic review of patient acceptance of consumer health information technology. J Am Med Inform Assoc
2009;16:550–60. [PMC free article] [PubMed]
19. Boberg EW, Gustafson DH, Hawkins RP, et al.
Development, acceptance, and use patterns of a computer-based education and social support system for people living with AIDS HIV infection. Comput Human Behav
20. Klein R.
Internet-based patient-physician electronic communication applications: patient acceptance and trust. e-Service Journal
21. Lai TY, Larson EL, Rockoff ML, et al.
User acceptance of HIV TIDES–Tailored interventions for management of depressive symptoms in persons living with HIV/AIDS. J Am Med Inform Assoc
2008;15:217–26. [PMC free article] [PubMed]
22. Lu HP, Gustafson DH.
An empirical study of perceived usefulness and perceived ease of use on computerized support system use over time. Int J Inf Manage
23. Wilson EV, Lankton NK.
Modeling patients' acceptance of provider-delivered e-health. Journal of the American Medical Informatics Association
2004;11:241–8. [PMC free article] [PubMed]
24. Venkatesh V, Morris MG, Davis GB, et al.
User acceptance of information technology: toward a unified view. MIS Quarterly
25. Davis FD.
Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly
26. Davis FD, Bagozzi RP, Warshaw PR.
User acceptance of computer technology: a comparison of two theoretical models. Management Science
27. Holden RJ, Karsh B.
The technology acceptance model: its past and its future in healthcare. J Biomed Inform
2010;43:159–72. [PMC free article] [PubMed]
28. Venkatesh V, Speier C, Morris MG.
User acceptance enablers in individual decision making about technology: toward an integrated model. Decision Sciences
29. Brennan PF, Casper GR, Kossman S, et al.
HeartCareII: Home care support for patients with chronic cardiac disease. Medinfo
30. Taylor S, Todd PA.
Understanding information technology usage: a test of competing models. Information Systems Research
31. Hu PJ, Chau PYK, Sheng ORL, et al.
Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems
32. Legris P, Ingham J, Collerette P.
Why do people use information technology? A critical review of the technology acceptance model. Inf Manage
33. Wu JH, Shen WS, Lin LM, et al.
Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system. Int J Qual Health Care
34. Sheppard BH, Hartwick J, Warshaw PR.
The Theory of Reasoned Action: A meta-analysis of past research with recommendations for modifications and future research. J Consum Res
35. Ajzen I, Fishbein M.
Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall, 1980.
36. Fishbein M, Ajzen I.
Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley, 1975.
37. Diaz JA, Griffith RA, Ng JJ, et al.
Patients' use of the Internet for medical information. J Gen Intern Med
2002;17:180–5. [PMC free article] [PubMed] 38. Mead N, Varnam R, Rogers A, et al.
What predicts patients' interest in the Internet as a health resource in primary care in England?
J Health Serv Res Policy
39. Ajzen I.
The theory of planned behavior. Organ Behav Hum Decis Process
40. Venkatesh V, Davis FD.
A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science
41. Moore GC, Benbasat I.
Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research
42. Mathieson K.
Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research
43. Hermanova H.
New challenges in ageing: home care. Disabil Rehabil
44. Finkelstein J, Khare R, Ansell J.
Feasibility and patients' acceptance of home automated telemanagement of oral anticoagulation therapy. Paper presented at: Annual Symposium of American Medical Informatics Association, 2003.
Washington, DC: American medical Informatics Association.
45. Lober WB, Zierler B, Herbaugh A, et al.
Barriers to the use of a personal health record by an elderly population. Paper presented at: Annual Symposium of American Medical Informatics Association, 2006.
Washington, DC: American medical Informatics Association.
46. Tak SH, Hong SH.
Use of the Internet for health information by older adults with arthritis. Orthop Nurs
2005;24:134–8. [PubMed] 47. Ferguson T.
Online patient-helpers and physicians working together: a new partnership for high quality health care. Br Med J
2000;321:1129–32. [PMC free article] [PubMed] 48. Fowles JB, Kind AC, Craft C, et al.
Patients' interest in reading their medical record: relation with clinical and sociodemographic characteristics and patients' approach to health care. Arch Intern Med
49. Or CKL, Severtson DJ, Karsh B, et al.
Development of an instrument to measure technology acceptance among homecare patients with heart disease. Paper presented at: Annual Symposium of American Medical Informatics Association, 2006.
Washington, DC: American medical Informatics Association.
50. Haley SM, Jette AM, Coster WJ, et al.
Late life function and disability instrument: II. Development and evaluation of the function component. J Gerontology A Biol Sci Med Sci
2002;57:M217–22. [PubMed] 51. Sayers SP, Jette AM, Haley SM, et al.
Validation of the late-life function and disability instrument. J Am Geriatr Soc
52. Haley SM, Ludlow LH, Kooyoomjian JT.
Extending the range of functional assessment in older adults: development of the late-life function and disability instrument. J Aging Phys Act
53. Mangione CM, Lee PP, Gutierrez PR, et al.
Development of the 25-item national eye institute visual function questionnaire (VFQ-25). Arch Ophthalmol
55. Coffman DL, MacCallum RC.
Using parcels to convert path analysis models into latent variable models. Multivariate Behavioral Research
56. Cattell RB, Burdsal CA.
The radial parcel double factoring design: a solution to the item-vs-parcel controversy. Multivariate Behavioral Research
57. Little TD, Cunningham WA, Shahar G, et al.
To parcel or not to parcel: exploring the question, weighing the merits. Structural Equation Modeling
58. Muthén LK, Muthén BO.
Mplus User's Guide. 5th edn
Los Angeles, CA: Muthén & Muthén, 1998–2007.
59. Bollen KA.
Structural Equations with Latent Variables. New York: Wiley, 1989.
60. Chou CP, Bentler PM.
Model modification in structural equation modeling by imposing constraints. Comput Stat Data Anal
61. MacCallum RC.
Specification searches in covariance structure modeling. Psychol Bull
62. Kline RB.
Principles and Practice of Structural Equation Modeling. 2nd edn
New York: The Guilford Press, 2005.
63. Steiger JH.
Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research
64. Bentler PM.
Comparative fit indexes in structural models. Psychol Bull
65. Tucker LR, Lewis C.
A reliability coefficient for maximum likelihood factor analysis. Psychometrika
66. Hu L, Bentler PM.
Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling
67. MacCallum RC, Browne MW, Sugawara HM.
Power analysis and determination of sample size for covariance structure modeling. Psychol Methods
68. Hartwick J, Barki H.
Explaining the role of user participation in information system use. Management Science
69. Horst M, Kuttschreuter M, Gutteling JM.
Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior
70. Dugaw JE, Civello K, Chuinard C, et al.
Will patients use a computer to give a medical history?
J Fam Pract
71. Bentler PM, Chou CP.
Practical issues in structural modeling. Sociol Methods Res
72. Davis FD, Bagozzi RP, Warshaw PR.
Extrinsic and intrinsic motivation to use computers in the workplace. J Appl Soc Psychol
73. Igbaria M, Guimaraes T, Davis GB.
Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems
74. Friedman RH, Kazis LE, Jette A, et al.
A telecommunications system for monitoring and counseling patients with hypertension. Impact on medication adherence and blood pressure control. Am J Hypertens
1996;9:285–92. [PubMed] 75. Leirer VO, Morrow DG, Tanke ED, et al.
Elders' nonadherence: its assessment and medication reminding by voice mail. Gerontologist
76. Schraagen JM, Chipman SF, Shalin VL.
Cognitive Task Analysis. Mahwah, NJ: Lawrence Arlbaum, 2000.
77. Vicente K.
Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work. Mahwah, NJ: Lawrence Erlbaum, 1999.
78. Weir CR, Nebeker JJR, Hicken BL, et al.
A cognitive task analysis of information management strategies in a computerized provider order entry environment. Journal of the American Medical Informatics Association
2007;14:65–75. [PMC free article] [PubMed] 79. Karsh B, Holden RJ, Alper SJ, et al.
A human factors engineering paradigm for patient safety: designing to support the performance of the healthcare professional. Qual Saf Health Care
2006;15:I59–65. [PMC free article] [PubMed]
80. Hollnagel E, Woods DD.
Joint Cognitive Systems: Foundations of Cognitive Systems Engineering. New York: CRC Press, 2005.
81. Littner M, Hirshkowitz M, Davila D, et al.
Practice parameters for the use of auto-titrating continuous positive airway pressure devices for titrating pressures and treating adult patients with obstructive sleep apnea syndrome. Sleep
82. Woods DD.
Designs are hypotheses about how artifacts shape cognition and collaboration. Ergonomics
83. Hollnagel E.
Cognitive ergonomics: it's all in the mind. Ergonomics
84. Woods DD, Roth EM.
Cognitive engineering—human problem-solving with tools. Hum Factors
85. Holden RJ, Or CKL, Alper SJ, et al.
A change management framework for macroergonomic field research. Appl Ergon
86. Lorenzi NM, Riley RT.
Preparing the Staff for New Technologies. Organizational Aspects of Health Informatics: Managing Technological Change. New York: Springer-Verlag, 1995.
87. Demiris G, Finkelstein SM, Speedie SM.
Considerations for the design of a web-based clinical monitoring and educational system for elderly patients. Journal of the American Medical Informatics Association
2001;8:468–72. [PMC free article] [PubMed] 88. Carayon P, Hundt AS, Karsh B, et al.
Work system design for patient safety: the SEIPS model. Qual Saf Health Care
2006;15(Suppl I):i50–8. [PMC free article] [PubMed]
89. Nielsen J.
Usability Engineering. Boston, MA: Academic Press, 1993.
90. Rubin JR.
Handbook of Usability Testing. New York, NY: John Wiley & Sons, 1994.
91. Cannon-Bowers JA, Salas E, Tannenbaum SI, et al.
Toward theoretically based principles of training effectiveness: a model and initial empirical investigation. Mil Psychol
92. Salas E, Cannon-Bowers JA.
The science of training: a decade of progress. Annu Rev Psychol
2001;52:471–99. [PubMed] 93. Or CK, Valdez RS, Casper GR, et al.
Human factors and ergonomics in home care: current concerns and future considerations for health information technology. Work
2009;33:201–9. [PMC free article] [PubMed]
94. Kelley CL, Charness N.
Issues in training older adults to use computers. Behav Inf Technol
95. Fisk AD, Rogers WA.
Health care of older adults: the promise of human factors research. In: Rogers WA, Fisk AD, editors. , eds. Human Factors Interventions for the Health Care of Older Adults. Mahwah, NJ: Erlbaum, 2001:1–12.
96. Karsh B.
Beyond usability: designing effective technology implementation systems to promote patient safety. Qual Saf Health Care
2004;13:388–94. [PMC free article] [PubMed]
97. Holden RJ, Karsh B.
A theoretical model of health information technology behavior. Behav Inf Technol
98. Rogers WA, Fisk AD.
Human Factors Interventions for the Health Care of Older Adults. Mahwah, NJ: Erlbaum, 2001.
99. Vanderheiden GC.
Design for people with functional limitations. In: Salvendy G, editor. , ed. Handbook of Human Factors and Ergonomics. 3rd edn
New York: John Wiley & Sons, 2006: 1387–417.
100. Nichols TA, Rogers WA, Fisk AD.
Design for aging. In: Salvendy G, editor. , ed. Handbook of Human Factors and Ergonomics. 3rd edn
New York: John Wiley & Sons, 2006: 1418–45.
101. Czaja SJ, Lee CC.
Information technology and older adults. In: Jacko JA, Sears A, editors. , eds. Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications. 2nd edn
New York: Lawrence Erlbaum Associates, 2007:777–93.
102. Eysenbach G.
Design and evaluation of consumer health information web sites. In: Lewis D, Eysenbach G, Kukafka R, et al., editors. , eds. Consumer Health Informatics: Informing Consumers and Improving Health Care. New York: Springer-Verlag, 2005:34–60.