A study on Singaporean women's acceptance of using mobile phones to seek health information

International Journal of Medical Informatics

Volumn 80, Issue 12, 2011, Pages

  Lim, Sherwin ^a   Xue, Lishan ^b   Yen, Ching Chiuan ^b   Chang, Leanne ^a   Chan, Hock Chuan ^b   Tai, Bee Choo ^c   Duh, Henry Been Lirn ^d   Choolani, Mahesh ^c  

^a Faculty of Arts and Social Sciences   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^d Faculty of Engineering   (Singapore)

Author keywords

Health information; Mobile healthcare; Mobile phone; Technology Acceptance Model; Women

Indexed keywords

ALTERNATIVE SOURCE; CORRELATION ANALYSIS; DESIGN FACTORS; EXPLORATORY STUDIES; HEALTH INFORMATIONS; HIERARCHICAL REGRESSION; MOBILE HEALTH; MOBILE HEALTH CARE; MOBILE WEB; ONLINE HEALTH INFORMATION; PERCEIVED USEFULNESS; PREDICTIVE POWER; PRIOR EXPERIENCE; SELF EFFICACY; SELF MANAGEMENT; TECHNOLOGY ACCEPTANCE MODEL; WOMEN;

CELLULAR TELEPHONES; HEALTH CARE; INFORMATION USE; MOBILE DEVICES; SURVEYS;

MOBILE PHONES;

ADULT; ARTICLE; BEHAVIOR; CORRELATION ANALYSIS; FEMALE; HEALTH SURVEY; HUMAN; INTERNET; MEDICAL INFORMATION; MEDICAL INFORMATION SYSTEM; MOBILE PHONE; NORMAL HUMAN; ONLINE SYSTEM; PREDICTION; PRIORITY JOURNAL; QUESTIONNAIRE; SELF CONCEPT; SINGAPORE; TECHNOLOGY ACCEPTANCE MODEL; THEORETICAL MODEL; ATTITUDE TO HEALTH; PATIENT ATTITUDE; UTILIZATION REVIEW; WOMEN'S HEALTH;

ADULT; CELLULAR PHONE; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; PATIENT ACCEPTANCE OF HEALTH CARE; QUESTIONNAIRES; SINGAPORE; WOMEN'S HEALTH; YOUNG ADULT;

EID: 84859982406     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2011.08.007     Document Type: Article

References (62)

1. Singapore Department of Statistics Census of Population 2010: Advance Census Release 2010.
2. The Straits Times, More than 7m mobile phones, Section Prime News: A7, August 25, 2010.
3. Infocomm Development Authority Integrating Healthcare, Empowering Patients 2006.
4. Cheah J. Chronic disease management: a Singapore perspective. British Medical Journal 2001, 323:990-993.
5. B. Lee, Ageing population may hurt Singapore most, Asiaone Business: , 2008 (retrieved 23.09.10). http://www.asiaone.com/Business/News/My+Money/Story/A1Story20080627-73309.html.
6. Strickland B.R. Sex-related differences in health and illness. Psychology of Women Quarterly 1988, 12(4):381-399.
7. Rodin J., Ickovics J.R. Women's health: review and research agenda as we approach the 21st century. American Psychologist 1990, 45(9):1018-1034.
8. Bertakis K.D., Azari R., Helms L.J., Callahan E.J., Robbins J.A. Gender differences in the utilization of health care services. Journal of Family Practice 2000, 49(2):147-152.
9. Muller C.F. Healthcare and Gender 1990, Russell Sage Foundation, New York.
10. Baker L., Wagner T.H., Singer S., Bundorf M.K. Use of the internet and e-mail for health care information. Journal of the American Medical Association 2003, 289(18):2400-2406.
11. Rice R.E. Influences, usage, and outcomes of internet health information searching: multivariate results from the Pew surveys. International Journal of Medical Informatics 2006, 75(1):8-28.
12. Yan Y.Y. Online health information seeking behavior in Hong Kong: an exploratory study. Journal of Medical Systems 2010, 34(2):147-153.
13. Ybarra M.L., Suman M. Help seeking behavior and the internet: a national survey. International Journal of Medical Informatics 2006, 75(1):29-41.
14. M. Harris, Medical Smartphone Apps Gaining Popularity, Experts Urge Care, Attention, Windsor Star, May 28, 2010.
15. Business Wire, Research and Markets: The World of Health and Medical Apps: 5,820 Medical, Health and Fitness Apps, Available for Smartphones Today by iPhone, BlackBerry, Android, Nokia and Palm, Business Wire, Dublin, May 27, 2010.
16. S.N. Bhanoo, Smartphone Applications Include Health-Care and Fitness Options, The Washington Post: , 2009 (retrieved 23.08.10). http://www.washingtonpost.com/wp-dyn/content/article/2009/02/02/AR2009020202203.html.
17. Verkasalo H., López-Nicolás C., Molina-Castillo F.J., Bouwman H. Analysis of users and non-users of smartphone applications. Telematics and Informatics 2010, 27(3):242-255.
18. Hu P.J., Chau P.Y., Sheng O.R., Tam K.Y. Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management information Systems 1999, 16(2):91-112.
19. Yarbrough A.K., Smith T.B. Technology acceptance among physicians: a new take on TAM. Medical Care Research and Review 2007, 64(6):650-672.
20. Davis F.D., Bagozzi R.P., Warshaw P.R. User acceptance of computer technology: a comparison of two theoretical models. Management Science 1989, 35(85):982-1003.
21. Jen W.Y., Hung M.C. An empirical study of adopting mobile healthcare service: the family's perspective on the healthcare needs of their elderly members. Telemedicine and e-Health 2010, 16(1):41-48.
22. An J.Y., Hayman L.L., Panniers T., Carty B. Theory development in nursing and healthcare informatics: a model explaining and predicting information and communication technology acceptance by healthcare consumers. Advances in Nursing Science 2007, 30(3):E37-E49.
23. McFarland D.J., Hamilton D. Adding contextual specificity to the technology acceptance model. Computers in Human Behavior 2006, 22(3):427-447.
24. Wu J.H., Wang S.C., Lin L.M. Mobile computing acceptance factors in the healthcare industry: a structural equation model. International Journal of Medical Informatics 2007, 76(1):66-77.
25. Holden R.J., Karsh B.T. The technology acceptance model: its past and its future in health care. Journal of Biomedical Informatics 2010, 43(1):159-172.
26. Liu X. Empirical testing of a theoretical extension of the technology acceptance model: an exploratory study of educational wikis. Communication Education 2010, 59(1):52-69.
27. Cho H., Kim Y., Kim J. An acceptance model for an internet protocol television service in Korea with prior experience as a moderator. The Service Industries Journal 2010, 30(11):1883-1901.
28. Cheong J.H., Park M.C. Mobile internet acceptance in Korea. Internet Research 2005, 15(2):125-140.
29. Compeau D., Higgins C.A., Huff S. Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly: Management Information Systems 1999, 23(2):145-158.
30. Kim B., Oh J. The difference of determinants of acceptance and continuance of mobile data services: a value perspective. Expert Systems with Applications 2011, 38(3):1798-1804.
31. Bandura A. Social Functions of Thought and Action: A Social Cognitive Theory 1986, Prentice Hall, Inc., New Jersey.
32. Ong C.S., Lai J.Y. Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior 2006, 22(5):816-829.
33. Comber C., Colley A., Hargreaves D.J., Dorn L. The effects of age, gender and computer experience upon computer attitudes. Educational Research 1997, 39(2):123-133.
34. Durndell A., Hagg Z. Computer self efficacy, computer anxiety, attitudes towards the internet and reported experience with the internet, by gender, in an East European sample. Computers in Human Behavior 2002, 18(5):521-535.
35. Galpin V., Sanders I., Turner H., Venter B. Computer self-efficacy, gender, and educational background in South Africa. IEEE Technology and Society Magazine 2003, 22(3):43-48.
36. Ma Q., Liu L. The role of internet self-efficacy in the acceptance of web-based electronic medical records. Journal of Organizational and End User Computing 2005, 17(1):38-57.
37. Hasan B., Ahmed M.U. A path analysis of the impact of application-specific perceptions of computer self-efficacy and anxiety on technology acceptance. Journal of Organizational and End User Computing 2010, 22(3):82-95.
38. Igbaria M., Iivari J. The effects of self-efficacy on computer usage. Omega 1995, 23(6):587-605.
39. Bandura A. Self-efficacy mechanism in human agency. American Psychologist 1982, 37(2):122-147.
40. Whitely B.E. Gender differences in computer related attitudes and behavior. Computers in Human Behavior 1997, 13(1):1-22.
41. Tung F.C., Chang S.C. Exploring adolescents' intentions regarding the online learning courses in Taiwan. Cyberpsychology and Behavior 2007, 10(5):729-730.
42. Scott C., Rockwell S. The effect of communication, writing and technology apprehension on likelihood to use new communication technologies. Communication Education 1997, 46(1):44-62.
43. Meuter M.L., Ostrom A.L., Bitner M.J., Roundtree R. The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research 2003, 56(11):899-906.
44. Fazio R.H., Zanna M. Attitudinal qualities relating to the strength of the attitude behavior relationship. Journal of Experimental Social Psychology 1978, 14(4):398-408.
45. Ajzen I., Fishbein M. Understanding Attitudes and Predicting Social Behavior 1980, Prentice Hall, Inc., New Jersey.
46. Taylor S., Todd P. Assessing IT usage: the role of prior experience. MIS Quarterly: Management Information Systems 1995, 19(4):561-570.
47. Yih M.B. An investigation on students' acceptance of writing web logs: a test of technology acceptance model. International Conference on Education Technology and Computer 2009, IEEE Computer Society.
48. Karahanna E., Straub D.W., Chervany N.L. Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly: Management Information Systems 1999, 23(2):183-213.
49. Han J.Y., Wise M., Kim E., Pingree R., Hawkins R.P., Pingree S., et al. Factors associated with use of interactive cancer communication system: an application of the comprehensive model of information seeking. Journal of Computer-Mediated Communication 2010, 15(3):367-388.
50. Johnson J.D., Meischke H. A comprehensive model of cancer-related information seeking applied to magazines. Human Communication Research 1993, 19(3):343-367.
51. Guberman N., Maheu P., Mailleó C. Women as family caregivers: why do they care?. The Gerontologist 1992, 32(5):607-617.
52. Salganicoff A., Ranji U.R., Wyn R. Women and Health Care: A National Profile. Key Findings from the Kaiser Women's Health Survey 2005, Kaiser Family Foundation, Washington, DC.
53. Warner D., Procaccino J.D. Toward wellness women seeking health information. Journal of the American Society for Information Science and Technology 2004, 55(8):709-730.
54. Turner M., Kitchenham B., Brereton P., Charters S., Budgen D. Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology 2010, 52(5):463-479.
55. Bhattacherjee A., Hikmet N. Physicians' resistance toward healthcare information technology: a theoretical model and empirical test. European Journal of Information Systems 2007, 16(6):725-737.
56. Sheeran P. Intention-behavior relations: a conceptual and empirical review. European Review of Social Psychology 2002, 12(1):1-36.
57. Horton R.P., Buck T., Waterson P.E., Clegg C.W. Explaining intranet use with the technology acceptance model. Journal of Information Technology 2001, 16(4):237-249.
58. Szajna B. Empirical evaluation of the revised technology acceptance model. Management Science 1996, 42(1):85-92.
59. Legris P., Ingham J., Collerette P. Why do people use information technology? A critical review of the technology acceptance model. Information and Management 2003, 40(3):191-204.
60. Venkatesh V., Speier C., Morris M.G. User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences 2002, 33(2):297-316.
61. Compeau D.R., Higgins C.A. Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly 1995, 19(2):189-211.
62. Simonson M.R., Maurer M., Montag-Torardi M., Whitaker M. Development of a standardized test of computer literacy and technology anxiety index. Journal of Educational Computing Research 1987, 3(2):231-247.