Satisfaction with health status among cyber patients: Testing a mediation model of electronic coping support

Behaviour and Information Technology

Volumn 32, Issue 1, 2013, Pages 91-101

  Seçkin, Gül ^a  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

cancer; cyber patients; electronic coping support; hierarchical linear regression; self efficacy; user psychology; virtual community

Indexed keywords

CANCER; CYBER PATIENTS; SELF EFFICACY; USER PSYCHOLOGY; VIRTUAL COMMUNITY;

DISEASES; REGRESSION ANALYSIS; VIRTUAL REALITY;

HEALTH;

EID: 84873348169     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/0144929X.2011.603359     Document Type: Article

References (73)

1. Advocat, J., and, Lindsay, J. 2010. Internet-based trials and the creation of health consumers. Social Science and Medicine, 70: 585-492.
2. Agresti, A., and, Finlay, B. 2009. Statistical methods for the social sciences, 4th ed, Upper Saddle River, NJ: Prentice Hall.
3. Angel, R. J., Angel, J. L., and, Hill, T. D. 2009. Subjective control and health among Mexican-origin elders in Mexico and the United States: structural considerations in comparative research. Journal of Gerontology: Social Sciences, 64B (3): 390-401. (doi:10.1093/geronb/gbn029)
4. Baker, L. 2003. Use of the Internet and E-mail for health care information. Results from a national survey. Journal of American Medical Association, 289 (18): 2400-2406. (doi:10.1001/jama.289.18.2400) (Pubitemid 37430173)
5. Bandura, A. 2004. Health promotion by social cognitive means. Health Education & Behavior, 31: 143-164. (doi:10.1177/1090198104263660) (Pubitemid 38569365)
6. Bass, S. B. 2003. How will Internet use affect the patient? Areview of computer network and closed Internet-based system studies and the implications in understanding howthe use of the Internet affects patient populations. Journal of Health Psychology, 8: 25-38. (doi:10.1177/1359105303008001427) (Pubitemid 36142814)
7. Botti, S., and, Iyengar, S. S. 2006. The dark side of choice: when choice impairs social welfare. Journal of Public Policy and Marketing, 25: 24-38. (doi:10.1509/jppm.25.1.24) (Pubitemid 43935642)
8. Brennan, P. F., Moore, S. M., and, Smyth, K. A. 1995. The effects of a special computer network on caregivers ofpersons with Alzheimer's Disease. Nursing Research, 44 (3): 166-172. (doi:10.1097/00006199-199505000-00007)
9. Brummett, B. H. 2009. Prospective study of associations among positive emotion and functional status in older patients with coronary artery disease. Journal of Gerontology: Psychological Sciences, 64B (4): 461-469. (doi:10.1093/geronb/gbp041)
10. Cella, D. F., Gray, G., and, Sarafian, B. 1993. The Functional Assessment of Cancer Therapy Scale: development and validation of the general measure. Journal of Clinical Oncology, 11 (3): 570-579. (Pubitemid 23071057)
11. Coulson, N. S., and, Knibb, R. C. 2007. Coping with food allergy: exploring the role of the Online Support Group. Cyberpsychology and Behavior, 10 (1): 145-148. (doi:10.1089/cpb.2006.9978) (Pubitemid 46385794)
12. Cullen, R. 2006. Health information on the Internet. A study of providers, quality, and users, Westport, CT: Praeger.
13. Danquah, E. V., and, Mays, T. L. 2006. Making the most of web resources to enhance health disparities information programs. Journal of Consumer Health on the Internet, 10 (3): 61-73. (doi:10.1300/J381v10n03-05) (Pubitemid 44377511)
14. Dilliway, G., and, Maudsley, G. 2008. Patients bringing information to primary care consultations: a cross-sectional (questionnaire) study of doctors' and nurses' view of its impact. Journal of Evaluation in Clinical Practice, 14: 545-547. (doi:10.1111/j.1365-2753.2007.00911.x)
15. Drentea, P., and, Moren-Cross, J. L. 2005. Social capital and social support on the web: the case of an internet mother site. Sociology of Health and Illness, 7: 920-943. (doi:10.1111/j.1467-9566.2005.00464.x) (Pubitemid 41796890)
16. Fox, S. 2008. The engaged e-patient population, Washington, DC: Pew Internet & American Life Project.
17. Fox, S., and, Jones, S. 2009. " The social life of health information ". In Pew Internet and American Life Project. Available from: http://www.pewinternet.org/~/media/Files/Reports/2009/PIP-Health-2009.pdf [Accessed 27 June 2009]
18. Friedman, B. 2009. Patient satisfaction, empowerment, and health and disability status effects of a diseasemanagement-health promotion nurse intervention among Medicare beneficiaries with disabilities. The Gerontologist, 49 (6): 778-792. (doi:10.1093/geront/gnp090)
19. Frost, J. H., and, Massagli, M. H. 2008. Social uses of personal health information within PatientsLikeMe, an online patient community: what can happen when patients have access to one another's data. Journal of Medical Internet Research, 10 (3): e15. (doi:10.2196/jmir.1053)
20. Giatti, L., Barreto, S. M., and, César, C. C. 2010. Unemployment and self-rated health: neighborhood influence. Social Science and Medicine, 71: 815-823. (doi:10.1016/j.socscimed.2010.05.021)
21. Giordano, G. N., and, Lindstrom, M. 2010. The impact ofchanges in different aspects of social capital and material conditions on self-rated health over time: a longitudinal cohort study. Social Science and Medicine, 70: 700-710. (doi:10.1016/j.socscimed.2009.10.044)
22. Gooden, R. J., and, Winefield, H. R. 2007. Breast and prostate cancer online discussion boards. Journal of Health Psychology, 12 (1): 103-114. (doi:10.1177/1359105307071744)
23. Greiner, A.K. 2004. The relationships of social participation and community ratings to health and health behaviors in areas with high and low population density. Social Science & Medicine, 59 (11): 2303-2312. (doi:10.1016/j.socscimed.2004.03.023)
24. Gueorguieva, R. 2009. The impact of occupation on self-rated health: cross-sectional and longitudinal evidence from the Health and Retirement Survey. Journal of Gerontology: Social Sciences, 64B (1): 118-124. (doi:10.1093/geronb/ gbn006)
25. Hara, R. 2010. How to evaluate online resources and support for people affected by cancer, May, 39-40. Oncology Nurse Advisor.
26. Hong, S. L., Hasche, L., and, Bowland, S. 2009. Structural relationships between social activities and longitudinal trajectories of depression among older adults. The Gerontologist, 49 (1): 1-11. (doi:10.1093/geront/gnp006)
27. Høybye, M. T., Johansen, C., and, Tjørnhøj-Thomsen, T. 2005. Online interaction, effects of storytelling in an internet breast cancer support group. Psycho-Oncology, 14: 211-220. (doi:10.1002/pon.837) (Pubitemid 40403152)
28. Ichida, Y. 2009. Social capital, income inequality, andself-rated health in Chita peninsula, Japan: a multi level analysis of older people in 25 communities. Social Science and Medicine, 69: 489-499. (doi:10.1016/j.socscimed. 2009.05.006)
29. Idler, E. L., Russell, L. B., and, Davis, D. 2000. Survival, functional limitations, and self-rated health in NHANES I epidemiological follow-up study. 1992. American Journal of Epidemiology, 152: 874-883. (doi:10.1093/aje/152.9. 874)
30. Jylhä, M. 2009. What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Social Science and Medicine, 69: 307-316. (doi:10.1016/j.socscimed.2009.05.013)
31. Jylhä, M. 2010. Self-rated health between psychology and biology. A response to Huisman and Deeg. Social Science and Medicine, 70: 655-657. (doi:10.1016/j.socscimed.2009.11.004)
32. Kaplan, M. S. 2007. The predictive validity of two measures of health-related quality of life: mortality in alongitudinal population-based study. Quality of Life Research, 16: 1539-1546. (doi:10.1007/s11136-007-9256-7) (Pubitemid 47561728)
33. Krause, N. 2009. Meaning in life and mortality. Journal of Gerontology: Social Sciences, 64B (4): 517-527. (doi:10.1093/geronb/gbp047)
34. Lechner, S. C. 2003. Do sociodemographic and disease-related variables influence benefit finding in Cancer patients. Psycho-Oncology, 12: 491-499. (doi:10.1002/pon.671) (Pubitemid 36873984)
35. Lieberman, M. A., and, Goldstein, B. A. 2006. Not all negative emotions are equal: the role of emotional expression in online support groups for women with breast cancer. Psycho-Oncology, 15: 160-168. (doi:10.1002/pon.932) (Pubitemid 43230785)
36. Lin, N. 2001. Social capital, Cambridge: Cambridge University Press.
37. Locock, L., and, Brown, J. B. 2010. All in the same boat? Patient and carer attitudes to peer support and social comparison in Motor Neurone Disease (MND). Social Science & Medicine, 71 (8): 1498-1505. (doi:10.1016/j. socscimed.2010.06.043)
38. Lopez-Perez, F. R., and, Roncero, G. P.P. 2006. Assessing the content and quality of information on the treatment of postmenopausal osteoporosis on the World Wide Web. Gynocological Endocronology, 22: 669-675. (doi:10.1080/ 09513590601012603)
39. Lorr, M., and, McNair, D. M. 1988. Manual for the profile of mood states-bipolar form, San Diego, CA: Educational and Industrial Testing Service.
40. Lucas, H. 2008. Information and communication technology for future health systems in developing countries. Social Science and Medicine, 66: 2122-2132. (doi:10.1016/j.socscimed.2008.01.033) (Pubitemid 351512368)
41. Lyons, A. C. 2005. Conducting research online: challenges facing researchers in family and consumer sciences. Family and Consumer Sciences Research Journal, 33 (4): 341-356. (doi:10.1177/1077727X04274116)
42. Macias, W., and, McMillan, S. J. 2008. The return of the house call: the role of internet-based interactivity in brining health information home to older adults. Health Communication, 23 (1): 1-11. (doi:10.1080/10410230701805174)
43. Martz, E., and, Livneh, H. 2007. Coping with chronic illness and disability. Theoretical, empirical, and clinical aspects, Memphis, TN: Springer.
44. McAuley, E. 2009. Trajectory of declines in physical activity in community-dwelling older women: social cognitive influences. Journal of Gerontology: Psychological Sciences, 64B (5): 543-550. (doi:10.1093/geronb/ gbp049)
45. McFadden, E. 2009. Does the association between self-rated health and mortality vary by social class? Social. Science and Medicine, 68: 275-280. (doi:10.1016/j.socscimed.2008.10.012)
46. Medical Library Association. 2009. A user's guide to finding and evaluating health information on the web [online]. Available from: http://www.mlanet.org/resources/userguide.html [Accessed 27 November 2009]
47. Mertler, C. A., and, Vannatta, R. A. 2010. Advanced and multivariate statistical methods, 4th ed, Glendale, CA: Pyrczak Publishing.
48. Mikels, J. A., Reed, A. E., and, Simon, K. I. 2009. Older adults place lower value on choice relative to young adults. Journal of Gerontology: Psychological Sciences, 64B (4): 443-446. (doi:10.1093/geronb/gbp021)
49. Nettleton, S. 2002. " The reality of virtual social support ". In Virtual society, Edited by: Woolgar, S. 176-188. New York: Oxford University Press.
50. Nimrod, G. 2009. Seniors' online communities: a quantitative content analysis. The Gerontologist, 50 (3): 382-392. (doi:10.1093/geront/gnp141)
51. Ono, H., and, Zavodny, M. 2008. Immigrants, English abilityand the digital divide. Social Forces, 86 (4): 1455-1479. (doi:10.1353/sof.0.0052)
52. Pruchno, R., Wilson-Genderson, M., and, Cartwright, F. 2009. Self-rated health and depressive symptoms in patients with end-stage renal disease and their spouses: a longitudinal dyadic analysis of late-life marriages. Journal of Gerontology: Psychological Sciences, 64B (2): 212-221. (doi:10.1093/geronb/ gbp006)
53. Radloff, L. S. 1977. The CES-D scale: a self report depression scale for research in the general population. Applied Psychological Measurement, 1: 385-401. (doi:10.1177/014662167700100306)
54. Rottmann, N. 2010. Self-efficacy, adjustment style and well-being in breast cancer patients: a longitudinal study. Quality of Health Research, 19 (6): 827-836.
55. Seale, C. 2005. New directions for critical internet health studies: representing cancer experience on the web. Sociology of Health and Illness, 27 (4): 515-540. (doi:10.1111/j.1467-9566.2005.00454.x) (Pubitemid 41022560)
56. Search Engine Watch. 2009. Nielsen online December 2008 search engine share rankings [online]. Available from: http://searchenginewatch.com [Accessed 19 September 2009]
57. Seçkin, G. 2006. Virtual networks for cancer patients of the 21st century: Patient empowerment, psychological well-being and trauma transcendence, Case Western Reserve University. Thesis (PhD)
58. Seçkin, G. 2009. Internet technology in service of personal health care management: patient perspective. Journal of Technology in Human Services, 27 (1): 79-92.
59. Seçkin, G. 2010. Cyber patients surfing the medical Web: computer-mediated medical knowledge and perceived benefits. Computers in Human Behavior, 26: 1694-1700. (doi:10.1016/j.chb.2010.06.018)
60. Shaw, B. 2006. How underserved breast cancer patients use and benefit from e-health programs. American Behavioral Scientist, 49 (6): 823-834. (doi:10.1177/0002764205283803)
61. Sillence, E. 2007. How do patients evaluate and make use of online health information?. Social Science and Medicine, 64: 1853-1862. (doi:10.1016/j. socscimed.2007.01.012) (Pubitemid 46541622)
62. Subramanyam, M. 2009. Relative deprivation in income and self-rated health in the United States. Social Science and Medicine, 69: 327-334. (doi:10.1016/j.socscimed.2009.06.008)
63. Sugiura, K. 2009. Gender differences in spousal caregiving in Japan. Journal of Gerontology: Social Sciences, 64B (1): 147-156. (doi:10.1093/geronb/ gbn005)
64. Tanis, M. 2008. Health-related on-line forums: What's the big attraction?. Journal of Health Communication, 13: 698-714. (doi:10.1080/ 10810730802415316)
65. Todman, J., and, Dugard, P. 2007. Approaching multivariate analysis. An introduction for psychology, New York: Psychology Press.
66. Wallston, K. A., Wallston, B. S., and, Devellis, R. 1978. Development of the Multidimensional Health Locus of Control (MHLC) Scales. Health Education Monographs, 6 (2): 160-170.
67. Warschauer, M. 2003. Technology and social inclusion. Rethinking the digital divide, Cambridge, MA: MIT Press.
68. Whitehead, L. C. 2007. Methodological and ethical issues in Internet-mediated research in the field of health: an integrated review of the literature. Social Science and Medicine, 65: 782-791. (doi:10.1016/j.socscimed. 2007.03.005) (Pubitemid 47077550)
69. Williamson, K. 2005. Where one size does not fit all: understanding the needs potential users of a portal to breast cancer knowledge online. Journal of Health Communication, 10: 567-580. (doi:10.1080/10810730500228961) (Pubitemid 41526514)
70. Windsor, T. D., Ryan, L. H., and, Smith, J. 2009. Individual well-being in middle and older adulthood: do spousal beliefs matter?. Journal of Gerontology: Psychological Sciences, 64B (5): 586-596. (doi:10.1093/geronb/ gbp058)
71. Wojcicki, T. R., White, S. M., and, McAuley, E. 2009. Assessing outcome expectations in older adults: the multidimensional outcome expectations for exercise scale. Journal of Gerontology: Psychological Sciences, 64B (1): 33-40. (doi:10.1093/geronb/gbn032)
72. Wolfe, R. M., and, Sharp, L. K. 2005. Vaccination or immunization? The impact of search terms on the Internet. Vaccination or immunization?. Journal of Health Communication, 10 (6): 537-551. (doi:10.1080/10810730500228847) (Pubitemid 41526512)
73. Zaphiris, P., and, Ang, C. S. 2010. Social computing and virtual communities, Boca Raton, FL: CRC Press.