Tailored interactive multimedia computer programs to reduce health disparities: Opportunities and challenges

Patient Education and Counseling

Volumn 85, Issue 2, 2011, Pages 323-330

  Jerant, Anthony ^a   Sohler, Nancy ^b   Fiscella, Kevin ^c   Franks, Becca ^d   Franks, Peter ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CITY UNIVERSITY OF NEW YORK MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF ROCHESTER SCHOOL OF MEDICINE AND DENTISTRY   (United States)

^d Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Health disparities; Patient education as topic; Tailored health information; Therapy computer assisted; Vulnerable populations

Indexed keywords

COMPUTER PROGRAM; DEMOGRAPHY; DOCTOR PATIENT RELATION; FACTORIAL ANALYSIS; HEALTH BEHAVIOR; HEALTH CARE DISPARITY; HEALTH CARE PERSONNEL; HEALTH CARE SYSTEM; HEALTH PROMOTION; INTERPERSONAL COMMUNICATION; LANGUAGE ABILITY; MEDICAL INFORMATION; MEDICAL RESEARCH; MENTAL HEALTH; MULTIMEDIA; PRIORITY JOURNAL; PUBLIC HEALTH SERVICE; SELF CONCEPT; SHORT SURVEY;

HEALTH EDUCATION; HEALTHCARE DISPARITIES; HUMANS; MULTIMEDIA; PATIENT EDUCATION AS TOPIC; SOFTWARE; VULNERABLE POPULATIONS;

EID: 80053996896     PISSN: 07383991     EISSN: 18735134     Source Type: Journal    
DOI: 10.1016/j.pec.2010.11.012     Document Type: Short Survey

References (100)

1. Noar S.M., Benac C.N., Harris M.S. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull 2007, 133:673-693.
2. Agency for Healthcare Research and Quality National healthcare disparities report. AHRQ Publication no. 09-0002 2009, AHRQ, Rockville, MD.
3. Franks P., Fiscella K. Reducing disparities downstream: prospects and challenges. J Gen Intern Med 2008, 23:672-677.
4. Barnabei V.M., O'Connor J.J., Nimphius N.M., Vierkant R.A., Eaker E.D. The effects of a web-based tool on patient-provider communication and satisfaction with hormone therapy: a randomized evaluation. J Womens Health (Larchmt) 2008, 17:147-158.
5. Bodurtha J., Quillin J.M., Tracy K.A., Borzelleca J., McClish D., Wilson D.B., et al. Mammography screening after risk-tailored messages: the women improving screening through education and risk assessment (WISER) randomized, controlled trial. J Womens Health (Larchmt) 2009, 18:41-47.
6. Jerant A., Kravitz R.L., Rooney M., Amerson S., Kreuter M., Franks P. Effects of a tailored interactive multimedia computer program on determinants of colorectal cancer screening: a randomized controlled pilot study in physician offices. Patient Educ Couns 2007, 66:67-74.
7. Kroeze W., Oenema A., Campbell M., Brug J. Comparison of use and appreciation of a print-delivered versus CD-ROM-delivered, computer-tailored intervention targeting saturated fat intake: randomized controlled trial. J Med Internet Res 2008, 10:e12.
8. McDaniel A.M., Casper G.R., Hutchison S.K., Stratton R.M. Design and testing of an interactive smoking cessation intervention for inner-city women. Health Educ Res 2005, 20:379-384.
9. Nyman S.R., Yardley L. Web-site-based tailored advice to promote strength and balance training: an experimental evaluation. J Aging Phys Act 2009, 17:210-222.
10. Oenema A., Tan F., Brug J. Short-term efficacy of a web-based computer-tailored nutrition intervention: main effects and mediators. Ann Behav Med 2005, 29:54-63.
11. Stone E.G., Morton S.C., Hulscher M.E., Maglione M.A., Roth E.A., Grimshaw J.M., et al. Interventions that increase use of adult immunization and cancer screening services: a meta-analysis. Ann Intern Med 2002, 136:641-651.
12. Kraemer H.C., Wilson G.T., Fairburn C.G., Agras W.S. Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry 2002, 59:877-883.
13. Kreuter M.W., Haughton L.T. Integrating culture into health information for African American women. Am Behav Sci 2006, 49:794-811.
14. Bandura A. Social foundations of thought and action: a social cognitive theory 1986, Prentice-Hall, Englewood Cliffs, NJ.
15. Janz N.K., Champion V.L., Strecher V.J. The health belief model. Health behavior and health education: theory, research, and practice 2002, Jossey-Bass, San Francisco, CA. 3rd ed. K. Glanz, B.K. Rimer, F.M. Lewis (Eds.).
16. Miller S.M. Monitoring versus blunting styles of coping with cancer influence the information patients want and need about their disease. Implications for cancer screening and management. Cancer 1995, 76:167-177.
17. Higgins E.T. Making a good decision: value from fit. Am Psychol 2000, 55:1217-1230.
18. Greenfield S., Kaplan S., Ware J.E. Expanding patient involvement in care: effects on patient outcomes. Ann Intern Med 1985, 102:520-528.
19. Greenfield S., Kaplan S.H., Ware J.E., Yano E.M., Frank H.J.L. Patient participation in medical care: effects on blood sugar control and quality of life in diabetes. J Gen Intern Med 1988, 3:448-457.
20. Hibbard J.H., Greene J., Becker E.R., Roblin D., Painter M.W., Perez D.J., et al. Racial/ethnic disparities and consumer activation in health. Health Aff (Millwood) 2008, 27:1442-1453.
21. Hibbard J.H., Stockard J., Mahoney E.R., Tusler M. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res 2004, 39:1005-1026.
22. Kaplan S.H., Greenfield S., Ware J.E. Assessing the effects of physician-patient interactions on the outcomes of chronic disease. Med Care 1989, 27:S110-S127.
23. Bandura A. Self-efficacy: the exercise of control 1997, Freeman, New York.
24. Albada A., Ausems M.G., Bensing J.M., van Dulmen S. Tailored information about cancer risk and screening: a systematic review. Patient Educ Couns 2009, 77:155-171.
25. Prochaska J.M., Redding C.A., Evers K.E. The transtheoretical model and stages of change. Health behavior and health education: theory, research, and practice 2002, Jossey-Bass, San Francisco, CA. K. Glanz, B.K. Rimer, F.M. Lewis (Eds.).
26. Stiff J.B. Cognitive processing of persuasive message cues: a meta-analytic review of the effects of supporting information on attitudes. Commun Monogr 1986, 53:75-89.
27. Schumann A., John U., Ulbricht S., Ruge J., Bischof G., Meyer C. Computer-generated tailored feedback letters for smoking cessation: theoretical and empirical variability of tailoring. Int J Med Inform 2008, 77:715-722.
28. Petty R.E., Cacioppo J.T. Communication and persuasion: central and peripheral routes to attitude change 1986, Springer-Verlag, New York.
29. Fenton J.J., Tancredi D.J., Green P., Franks P., Baldwin L.M. Persistent racial and ethnic disparities in up-to-date colorectal cancer testing in medicare enrollees. J Am Geriatr Soc 2009, 57:412-418.
30. Miech R.A., Kim J., McConnell C., Hamman R.F. A growing disparity in diabetes-related mortality U.S. trends, 1989-2005. Am J Prev Med 2009, 36:126-132.
31. Mattke S., Martorell F., Sharma P., Malveaux F., Lurie N. Quality of care for childhood asthma: estimating impact and implications. Pediatrics 2009, 123:S199-S204.
32. Chang V.W., Lauderdale D.S. Fundamental cause theory, technological innovation, and health disparities: the case of cholesterol in the era of statins. J Health Soc Behav 2009, 50:245-260.
33. Goldman D.P., Lakdawalla D.N. A theory of health disparities and medical technology 2005, Contributions to Economic Analysis & Policy, [accessed 15.05.10]. http://works.bepress.com/dana_goldman/7.
34. Shapiro S., Venet W., Strax P., Venet L., Roeser R. Prospects for eliminating racial differences in breast cancer survival rates. Am J Public Health 1982, 72:1142-1145.
35. Five-year findings of the hypertension detection and follow-up program. II. Mortality by race-sex and age. Hypertension detection and follow-up program cooperative group. J Amer Med Assoc 1979, 242:2572-2577.
36. Goldman D.P., Smith J.P. Can patient self-management help explain the SES health gradient?. Proc Natl Acad Sci USA 2002, 99:10929-10934.
37. Smith J.L., Rost K.M., Nutting P.A., Elliott C.E., Dickinson L.M. Impact of ongoing primary care intervention on long term outcomes in uninsured and insured patients with depression. Med Care 2002, 40:1210-1222.
38. Wells K., Sherbourne C., Schoenbaum M., Ettner S., Duan N., Miranda J., et al. Five-year impact of quality improvement for depression: results of a group-level randomized controlled trial. Arch Gen Psychiatry 2004, 61:378-386.
39. Szilagyi P.G., Schaffer S., Shone L., Barth R., Humiston S.G., Sandler M., et al. Reducing geographic, racial, and ethnic disparities in childhood immunization rates by using reminder/recall interventions in urban primary care practices. Pediatrics 2002, 110:e58.
40. Kempen G.I., Jelicic M., Ormel J. Personality, chronic medical morbidity, and health-related quality of life among older persons. Health Psychol 1997, 16:539-546.
41. Sarkar U., Fisher L., Schillinger D. Is self-efficacy associated with diabetes self-management across race/ethnicity and health literacy?. Diabetes Care 2006, 29:823-829.
42. Carpenter V., Colwell B. Cancer knowledge, self-efficacy, and cancer screening behaviors among Mexican-American women. J Cancer Educ 1995, 10:217-222.
43. Williams J.H., Auslander W.F., de Groot M., Robinson A.D., Houston C., Haire-Joshu D. Cultural relevancy of a diabetes prevention nutrition program for African American women. Health Promot Pract 2006, 7:56-67.
44. Skinner C.S., Strecher V.J., Hospers H. Physicians' recommendations for mammography: do tailored messages make a difference?. Am J Public Health 1994, 84:43-49.
45. Kalauokalani D., Franks P., Oliver J.W., Meyers F.J., Kravitz R.L. Can patient coaching reduce racial/ethnic disparities in cancer pain control? Secondary analysis of a randomized controlled trial. Pain Med 2007, 8:17-24.
46. Schillinger D., Hammer H., Wang F., Palacios J., McLean I., Tang A., et al. Seeing in 3-D: examining the reach of diabetes self-management support strategies in a public health care system. Health Educ Behav 2008, 35:664-682.
47. Weng H.H., Kaplan R.M., Boscardin W.J., Maclean C.H., Lee I.Y., Chen W., et al. Development of a decision aid to address racial disparities in utilization of knee replacement surgery. Arthritis Rheum 2007, 57:568-575.
48. van Stralen M.M., de Vries H., Mudde A.N., Bolman C., Lechner L. Efficacy of two tailored interventions promoting physical activity in older adults. Am J Prev Med 2009, 37:405-417.
49. Levinson W., Hudak P.L., Feldman J.J., Frankel R.M., Kuby A., Bereknyei S., et al. "It's not what you say...": racial disparities in communication between orthopedic surgeons and patients. Med Care 2008, 46:410-416.
50. Diette G.B., Rand C. The contributing role of health-care communication to health disparities for minority patients with asthma. Chest 2007, 132:802S-809S.
51. Johnson R.L., Roter D., Powe N.R., Cooper L.A. Patient race/ethnicity and quality of patient-physician communication during medical visits. Am J Public Health 2004, 94:2084-2090.
52. Schouten B.C., Meeuwesen L. Cultural differences in medical communication: a review of the literature. Patient Educ Couns 2006, 64:21-34.
53. Ashton C.M., Haidet P., Paterniti D.A., Collins T.C., Gordon H.S., O'Malley K., et al. Racial and ethnic disparities in the use of health services: bias, preferences, or poor communication?. J Gen Intern Med 2003, 18:146-152.
54. Shin HB, Bruno R. Language use and English-speaking ability: 2000; 2003.
55. Yeo G. How will the U.S. healthcare system meet the challenge of the ethnogeriatric imperative?. J Am Geriatr Soc 2009, 57:1278-1285.
56. Flores G. The impact of medical interpreter services on the quality of health care: a systematic review. Med Care Res Rev 2005, 62:255-299.
57. Bennett I.M., Chen J., Soroui J.S., White S. The contribution of health literacy to disparities in self-rated health status and preventive health behaviors in older adults. Ann Fam Med 2009, 7:204-211.
58. Redish J., Chisnell D. Designing web sites for older adults: a review of recent research 2004, American Association of Retired Persons, Washington, DC.
59. Saha S. The relevance of cultural distance between patients and physicians to racial disparities in health care. J Gen Intern Med 2006, 21:203-205.
60. The state of aging and health in America, 2007 2007, Centers for Disease Control and Prevention and the Merck Company Foundation, Whitehouse Station, NJ.
61. Burgess D.J., Crowley-Matoka M., Phelan S., Dovidio J.F., Kerns R., Roth C., et al. Patient race and physicians' decisions to prescribe opioids for chronic low back pain. Soc Sci Med 2008, 67:1852-1860.
62. Burgess D.J., Fu S.S., van Ryn M. Why do providers contribute to disparities and what can be done about it?. J Gen Intern Med 2004, 19:1154-1159.
63. Burgess D., van Ryn M., Dovidio J., Saha S. Reducing racial bias among health care providers: lessons from social-cognitive psychology. J Gen Intern Med 2007, 22:882-887.
64. Cooper L.A., Beach M.C., Johnson R.L., Inui T.S. Delving below the surface. Understanding how race and ethnicity influence relationships in health care. J Gen Intern Med 2006, 21:S21-S27.
65. Ghods B.K., Roter D.L., Ford D.E., Larson S., Arbelaez J.J., Cooper L.A. Patient-physician communication in the primary care visits of African Americans and whites with depression. J Gen Intern Med 2008, 23:600-606.
66. Denberg T.D., Kim F.J., Flanigan R.C., Fairclough D., Beaty B.L., Steiner J.F., et al. The influence of patient race and social vulnerability on urologist treatment recommendations in localized prostate carcinoma. Med Care 2006, 44:1137-1141.
67. Sabin J.A., Rivara F.P., Greenwald A.G. Physician implicit attitudes and stereotypes about race and quality of medical care. Med Care 2008, 46:678-685.
68. Green A.R., Carney D.R., Pallin D.J., Ngo L.H., Raymond K.L., Iezzoni L.I., et al. Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. J Gen Intern Med 2007, 22:1231-1238.
69. Sabin J., Nosek B.A., Greenwald A., Rivara F.P. Physicians' implicit and explicit attitudes about race by MD race, ethnicity, and gender. J Health Care Poor Underserved 2009, 20:896-913.
70. Epstein R.M., Shields C.G., Franks P., Meldrum S.C., Feldman M., Kravitz R.L. Exploring and validating patient concerns: relation to prescribing for depression. Ann Fam Med 2007, 5:21-28.
71. Young H.N., Bell R.A., Epstein R.M., Feldman M.D., Kravitz R.L. Physicians' shared decision-making behaviors in depression care. Arch Intern Med 2008, 168:1404-1408.
72. Green L.A., Fryer G.E., Yawn B.P., Lanier D., Dovey S.M. The ecology of medical care revisited. N Engl J Med 2001, 344:2021-2025.
73. Tai-Seale M., McGuire T.G., Zhang W. Time allocation in primary care office visits. Health Serv Res 2007, 42:1871-1894.
74. Fiscella K., Epstein R.M. So much to do, so little time: care for the socially disadvantaged and the 15-minute visit. Arch Intern Med 2008, 168:1843-1852.
75. Burgess D.J. Are providers more likely to contribute to healthcare disparities under high levels of cognitive load? How features of the healthcare setting may lead to biases in medical decision making. Med Decis Making 2009, 30:246-257.
76. Murray E., Pollack L., White M., Lo B. Clinical decision-making: patients' preferences and experiences. Patient Educ Couns 2007, 65:189-196.
77. Levinson W., Kao A., Kuby A., Thisted R.A. Not all patients want to participate in decision making. A national study of public preferences. J Gen Intern Med 2005, 20:531-535.
78. Smith S.K., Dixon A., Trevena L., Nutbeam D., McCaffery K.J. Exploring patient involvement in healthcare decision making across different education and functional health literacy groups. Soc Sci Med 2009, 69:1805-1812.
79. Spiegel S., Grant-Pillow H., Higgins E.T. How regulatory fit enhances motivational strength during goal pursuit. Eur J Soc Psychol 2004, 34:39-54.
80. Freitas A.L., Liberman N., Higgins E.T. Regulatory fit and resisting temptation during goal pursuit. J Exp Soc Psychol 2002, 38:291.
81. Cesario J., Grant H., Higgins E.T. Regulatory fit and persuasion: transfer from "feeling right" J Pers Soc Psychol 2004, 86:388-404.
82. Keller J., Bless H. Regulatory fit and cognitive performance: the interactive effect of chronic and situationally induced self-regulatory mechanisms on test performance. Eur J Soc Psychol 2006, 36:393-405.
83. Plessner H., Unkelbach C., Memmert D., Baltes A., Kolb A. Regulatory fit as a determinant of sport performance: how to succeed in a soccer penalty-shooting. Psychol Sport Exerc 2009, 10:108-115.
84. Idson L.C., Liberman N., Higgins E.T. Imagining how you'd feel: the role of motivational experiences from regulatory fit. Pers Soc Psychol Bull 2004, 30:926-937.
85. Camacho C.J., Higgins E.T., Luger L. Moral value transfer from regulatory fit: what feels right is right and what feels wrong is wrong. J Pers Soc Psychol 2003, 84:498.
86. Latimer A.E., Rivers S.E., Rench T.A., Katulak N.A., Hicks A., Hodorowski J.K., et al. A field experiment testing the utility of regulatory fit messages for promoting physical activity. J Exp Soc Psychol 2008, 44:826-832.
87. Latimer A.E., Williams-Piehota P., Katulak N.A., Cox A., Mowad L., Higgins E.T., et al. Promoting fruit and vegetable intake through messages tailored to individual differences in regulatory focus. Ann Behav Med 2008, 35:363-369.
88. Uskul A.K., Keller J., Oyserman D. Regulatory fit and health behavior. Psychol Health 2008, 23:327-346.
89. Hong J.W., Lee A.Y. Be fit and be strong: mastering self-regulation through regulatory fit. J Consum Res 2008, 34:682-695.
90. Uskul A.K., Sherman D.K., Fitzgibbon J. The cultural congruency effect: culture, regulatory focus, and the effectiveness of gain- vs. loss-framed health messages. J Exp Soc Psychol 2009, 45:535-541.
91. Horrigan J Wireless Internet use 2009, Pew Internet & American Life Project, Washington, DC, [accessed 1.06.10]. http://www.pewinternet.org/~/media//Files/Reports/2009/Wireless-Internet-Use.pdf.
92. Fox S Digital divisions 2005, Pew Internet & American Life Project, Washington, DC, [accessed 27.05.10]. http://www.pewinternet.org/~/media//Files/Reports/2005/PIP_Digital_Divisions_Oct_5_2005.pdf.
93. van Gerven P.W.M., Paas F., Van Merrienboer J.J.G., Hendriks M., Schmidt H.G. The efficiency of multimedia learning into old age. Br J Educ Psychol 2003, 73:489-505.
94. Jimison H., Gorman P., Woods S., Nygren P., Walker M., Norris S., et al. Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved. Evid Rep Technol Assess (Full Rep) 2008, 1-1422.
95. Sweeney M.A., Chiriboga D.A. Evaluating the effectiveness of a multimedia program on home safety. Gerontologist 2003, 43:325-334.
96. Mahoney D.F., Tarlow B.J., Jones R.N., Sandaire J. Effects of a multimedia project on users' knowledge about normal forgetting and serious memory loss. J Am Med Inform Assoc 2002, 9:383-394.
97. Plassman B.L., Langa K.M., Fisher G.G., Heeringa S.G., Weir D.R., Ofstedal M.B., et al. Prevalence of cognitive impairment without dementia in the United States. Ann Intern Med 2008, 148:427-434.
98. Cook N.L., Ayanian J.Z., Orav E.J., Hicks L.S. Differences in specialist consultations for cardiovascular disease by race, ethnicity, gender, insurance status, and site of primary care. Circulation 2009, 119:2463-2470.
99. Hayanga A.J., Waljee A.K., Kaiser H.E., Chang D.C., Morris A.M. Racial clustering and access to colorectal surgeons, gastroenterologists, and radiation oncologists by African Americans and Asian Americans in the United States: a county-level data analysis. Arch Surg 2009, 144:532-535.
100. Baer J.S., Ball S.A., Campbell B.K., Miele G.M., Schoener E.P., Tracy K. Training and fidelity monitoring of behavioral interventions in muti-site addictions research: a review. Drug Alcohol Depend 2007, 87:107-118.