The growing use of mobile health applications for health purposes increased the expectations about their effectiveness. The study examines the effectiveness of mobile health applications on the self-management behaviors of 168 individuals diagnosed with cancer. The results of a secondary analysis indicate that using extensively mobile health applications significantly increases women’s health empowerment attitudes—reaching health decisions, changing their approach to health concerns, seeking additional health consultation. However, the use of mobile health applications does not increase the likelihood of adopting self-management behaviors. The study indicates that the effectiveness of mobile health applications in self-management practices is contingent upon a set of personal characteristics and the level of technology skills.
References
[1]
Mesch, G., Mano, R. and Tsamir, Y. (2012) Minority Status and the Search for Health Information Online: A Test of the Social Diversification Hypothesis. Social Science & Medicine, 75, 854-858. https://doi.org/10.1016/j.socscimed.2012.03.024
[2]
Bandura, A. (1977) Self-Efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84, 191-215. https://doi.org/10.1037/0033-295X.84.2.191
[3]
Bandura, A. (2004) Health Promotion by Social Cognitive Means. Health Education & Behavior, 31, 143-164. https://doi.org/10.1177/1090198104263660
[4]
Manhattan Research (2012) Cybercitizen Health Europe 2012. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029126/
[5]
PEW (2012) Health Tracking Survey, Princeton Survey Research Associates International for the Pew Research Center’s Internet & American Life Project.
[6]
Scanfeld, D., Scanfeld, V. and Larson, E.L. (2010) Dissemination of Health Information through Social Networks: Twitter and Antibiotics. American Journal of Infection Control, 38, 182-188. https://doi.org/10.1016/j.ajic.2009.11.004
[7]
Church, K. and De Oliveira, R. (2013) What’s Up with Whatsapp? Comparing Mobile Instant Messaging Behaviors with Traditional SMS. In: Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services, ACM, New York, 352-361. https://doi.org/10.1145/2493190.2493225
[8]
Prentice, J.L. and Dobson, K.S. (2014) A Review of the Risks and Benefits Associated with Mobile Phone Applications for Psychological Interventions. Canadian Psychology, 55, 282. https://doi.org/10.1037/a0038113
[9]
Mano, R. (2016) Online Health Information and Health Changes: A Gender Approach to Technology and Health Empowerment among Jewish Women in Israel. Journal of Community Medicine and Public Health Care, 3, 23. https://doi.org/10.24966/CMPH-1978/100023
[10]
Eurobarometer (2017) Attitudes towards the Impact of Digitization and Automation on Daily Life. Special Eurobarometer Report 460.
[11]
Krebs, P. and Duncan, D.T. (2015) Health App Use among US Mobile Phone Owners: A National Survey. JMIR mHealth and uHealth, 3, e101. https://doi.org/10.2196/mhealth.4924
[12]
Rains, S.A. (2007) Perceptions of Traditional Information Sources and Use of the World Wide Web to Seek Health Information: Findings Form the Health Information National Trends Survey. Journal of Health Communication, 12, 667-680. https://doi.org/10.1080/10810730701619992
[13]
Smith, A. (2015) U.S. Smartphone Use in 2015. Pew Research, Washington DC.
[14]
Stellefson, M.B., Chaney, A.B., Chavarria, E., Tennant, B., Walsh-Childers, K., Sriram, P.S. and Zagora, J. (2013) Web 20 Chronic Disease Health Management for Older Adults: A Systematic Review. Journal of Medical Internet Research, 15, e35. https://doi.org/10.2196/jmir.2439
[15]
Karlamangla, S., Lachman, M.E., Han, W., Huang, M. and Greendale, G.A. (2016) Evidence for Cognitive Aging in Midlife Women: Study of Women’s Health across the Nation. PLoS ONE, 12, e0169008. https://doi.org/10.1371/journal.pone.0169008
[16]
Househ, M., Borycki, E. and Kushniruk, A. (2014) Empowering Patients through Social Media: The Benefits and Challenges. Health Informatics Journal, 20, 50-58. https://doi.org/10.1177/1460458213476969
[17]
Pandey, A., Hasan, S., Dubey, D. and Sarangi, S. (2012) Smartphone Apps as a Source of Cancer Information: Changing Trends in Health Information-Seeking Behavior. Journal of Cancer Education, 28, 138-142. https://doi.org/10.1007/s13187-012-0446-9
[18]
Mano, R. (2014) Social Media and Online Health Services: A Health Empowerment Perspective to Online Health Information. Computers in Human Behavior, 3, 404-412. https://doi.org/10.1016/j.chb.2014.07.032
[19]
Mano, R.S. (2014) Social Media and Online Health Services: A Health Empowerment Perspective to Online Health Information. Computers in Human Behavior, 39, 404-412. https://doi.org/10.1016/j.chb.2014.07.032
[20]
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L. and Edwards, P. (2013) The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis. PLOS Medicine, 10, e1001363. https://doi.org/10.1371/journal.pmed.1001363
[21]
Zhang, L. and Jung, E.H. (2018) We Chatting for Health: An Examination of the Relationship between Motivations and Active Engagement. Health Communication, 87, 215-232.
[22]
Hsieh, H.L. and Tsai, C.H. (2013) An Empirical Study to Explore the Adoption of Telehealth: Health Belief Model Perspective. Journal of Engineering Science and Technology Review, 6, 1-5. https://doi.org/10.25103/jestr.062.01
[23]
Kiseol, Y. and Hyun-Joo, L. (2010) Gender Differences in Using Mobile Data Services: Utilitarian and Hedonic Value Approaches. Journal of Research in Interactive Marketing, 4, 142-156. https://doi.org/10.1108/17505931011051678
[24]
Anglada-Martínez, H., Martin-Conde, M., Rovira-Illamola, M., Sotoca-Momblona, J.M., Sequeira, E., Aragunde, V., Moreno, M.A., Catalan, M. and Codina-Jané, C. (2015) Feasibility and Preliminary Outcomes of a Web and Smartphone-Based Medication Health Management Platform, for Chronically Ill Patients. Journal of Medical Systems, 40, 99. https://doi.org/10.1007/s10916-016-0456-y
[25]
Lee, Y.J., Boden-Albala, B., Larson, E., Wilcox, A. and Bakken, S. (2014) Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study. Journal of Medical Internet Research, 16, e176. https://doi.org/10.2196/jmir.3499
[26]
Dutta-Bergman, M. (2004) Primary Sources of Health Information: Comparison in the Domain of Health Attitudes, Health Cognition and Health Behaviors. Health Communication, 16, 273-288. https://doi.org/10.1207/S15327027HC1603_1
[27]
Dutta-Bergman, M. (2006) Media Use Theory and Internet Use for Health Care. In Murero, M. and Rice, E., Eds., The Internet and Health Care: Theory, Research and Practice, Lawrence Erlbaum, Mahwah, 83-103.
[28]
Dutta, M.J. and Bodie, G.D. (2008) Understanding Health Literacy for Strategic Health Marketing: eHealth Literacy, Health Disparities, and the Digital Divide. Health Marketing Quarterly, 25, 175-203. https://doi.org/10.1080/07359680802126301
[29]
Wilhelm, M.O. and Bekkers, R. (2010) Helping Behavior, Dispositional Empathic Concern, and the Principle of Care. Social Psychology Quarterly, 73, 11-32. https://doi.org/10.1177/0190272510361435
[30]
Betancourt, A., Morerio, P., Regazzoni, C.S. and Rauterberg, M. (2015) The Evolution of First Person Vision Methods: A Survey. IEEE Transactions on Circuits and Systems for Video Technology, 25, 744-760. https://doi.org/10.1109/TCSVT.2015.2409731
[31]
Seeman, N. (2008) Web 20 and Chronic Illness: New Horizons New Opportunities. Health Care, 10, 104-108.
[32]
Peterson, R.L., Simpson, R.L. and Smith, C.R. (2011) Critical Educational Program Components for Students with Emotional and Behavioral Disorders: Science, Policy, and Practice. Remedial and Special Education, 32, 230-242. https://doi.org/10.1177/0741932510361269
[33]
Bundorf, M.K., Wagner, T.H., Singer, S.J. and Baker, L.C. (2006) Who Searches the Internet for Health Information? Health Services Research, 41, 819-836.
[34]
Bianco, A., Zucco, R., Nobile, C.G., Pileggi, C. and Pavia, M. (2013) Parents Seeking Health-Related Information on the Internet: A Cross-Sectional Study. Medical Internet Research, 18, e204. https://doi.org/10.2196/jmir.2752
[35]
Rosenberg, D., Mano, R. and Mesch, G. (2018) They Have Needs, They Have Goals: Using Communication Theories to Explain Health-Related Social Media Use and Health Behavior Change. MOJ Public Health, 6, Article ID: 00163. https://doi.org/10.15406/mojph.2017.06.00163
[36]
Thackeray, R., Crookston, B.T. and West, J.H. (2013) Correlates of Health-Related Social Media Use among Adults. Journal of Medical Internet Research, 15, e21. https://doi.org/10.2196/jmir.2297
[37]
Xiao, N., Sharman, R., Rao, H.R. and Upadhyaya, S. (2014) Factors Influencing Online Health Information Search: An Empirical Analysis of a National Cancer-Related Survey. Decision Support Systems, 57, 417-427. https://doi.org/10.1016/j.dss.2012.10.047
[38]
Samoocha, D., Bruinvels, D.J., Elbers, N.A., Anema, J.R. and van der Beek, A.J. (2010) Effectiveness of Web-Based Interventions on Patient Empowerment: A Systematic Review and Meta-Analysis, Journal of Medical Internet Research, 12, e23. https://doi.org/10.2196/jmir.1286
[39]
Chahal, H. and Kumari, N. (2012) Service Quality and Performance in the Public Health-Care Sector. Health Marketing Quarterly, 29, 181-205. https://doi.org/10.1080/07359683.2012.704837
[40]
Ahadzadeh, A.S., Pahlevan Sharif, S., Ong, F.S. and Khong, K.W. (2015) Integrating Health Belief Model and Technology Acceptance Model: An Investigation of Health-Related Internet Use. Medical Internet Research, 17, e45. https://doi.org/10.2196/jmir.3564
[41]
Champion, V.L. and Skinner, C.S. (2008) The Health Belief Model. In: Glanz, K., Rimer, B.K. and Viswanath, K., Eds., Health Behavior and Health Education: Theory, Research and Practice, 4th Edition, John Wiley and Sons, Hoboken, 83-104.
[42]
Sullivan, K.A., White, K.M., Young, R.M., Chang, A., Roos, C. and Scott, C. (2008) Predictors of Intention to Reduce Stroke Risk among People at Risk of Stroke: An Application of an Extended Health Belief Model. Rehabilitation Psychology, 53, 505. https://doi.org/10.1037/a0013359
[43]
Straub, C.L. and Leahy, J.E. (2014) Application of a Modified Health Belief Model to the Pro-Environmental Behavior of Private Well Water Testing. Journal of the American Water Resources Association, 50, 1515-1526. https://doi.org/10.1111/jawr.12217
[44]
Kerr, C., Murray, E., Morris, R., Bottomley, C., Stevenson, F., Patterson, D., Peacock, R., Turner, I., Jackson, K. and Nazareth, I. (2010) The Potential of Web-Based Interventions for Heart Disease Self-Management: A Mixed Methods Investigation. Journal of Medical Internet Research, 12, e56. https://doi.org/10.2196/jmir.1438
[45]
Pereira, K., Phillips, B., Johnson, C. and Vorderstrasse, A. (2015) Internet Delivered Diabetes Self-Management Education: A Review. Diabetes Technology and Therapeutics, 17, 55-63. https://doi.org/10.1089/dia.2014.0155
[46]
Huang, G.J. and Penson, D.F. (2008) Internet Health Resources and the Cancer Patient. Cancer Investigation, 26, 202-207. https://doi.org/10.1080/07357900701566197
[47]
Shim, M., Kelly, B. and Hornik, R. (2006) Cancer Information Scanning and Seeking Behavior Associated with Knowledge, Lifestyle Choices and Screening. Journal of Health Communication, 1, 157-172. https://doi.org/10.1080/10810730600637475
[48]
Kennedy, D., Reeves, P., Bower, V., Middleton, L. and Richardson, G. (2007) The Effectiveness and Cost Effectiveness of a National Lay Led Self-Care Support Program for Patients with Long-Term Conditions: A Pragmatic Randomised Controlled Trial. Journal of Epidemiology and Community Health, 61, 254-261. https://doi.org/10.1136/jech.2006.053538
[49]
Rogers, A., Kirk, S., Gately, C.M. and Finch, C.R. (2011) Established Users and the Making of Tele-Care Work in Long Term Condition Management: Implications for Health Policy. Social Science and Medicine, 72, 1077-1084. https://doi.org/10.1016/j.socscimed.2011.01.031
[50]
Ezendam, N.P.M., Noordegraaf, V.S.A., Kroeze, W., Brug, J. and Oenema, A. (2013) Process Evaluation of a Computer-Tailored Intervention to Prevent Excessive Weight Gain among Dutch Adolescents. Health Promotion International, 28, 26-35. https://doi.org/10.1093/heapro/das021
[51]
Ek, S. (2013) Gender Differences in Health Information Behaviour: A Finnish Population-Based Survey. Health Promotion International, 30, 736-745.
[52]
Lennon, J.L. (2005) The Use of Health Belief Model in Dengue Health Education.
[53]
Lim, S., Xue, L., Yen, C.C., Chang, L., Chan, H.C., Tai, B.C., Duh, H.B.L. and Choolani, M. (2011) A Study on Singaporean Women’s Acceptance of Using Mobile Phones to Seek Health Information. International Journal of Medical Informatics, 80, e189-e202. https://doi.org/10.1016/j.ijmedinf.2011.08.007
[54]
Mano, R. (2015) Online Health Information, Situational Effects and Health Changes among e-Patients in Israel: A “Push/Pull” Perspective. Health Expectations, 18, 2489-2500. https://doi.org/10.1111/hex.12218
[55]
Mesch, G.S. (2015) Ethnic Origin and Access to Electronic Health Services. Health Informatics Journal, 22, 791-803.
