Exploring factors that affect on cancer patients performance in social networks for informational support

The social network communities that promote information about cancer are able to develop an interactive environment where there are virtual relationships among cancer patients. Only a few studies have looked at the role of social network sites SNS for cancer patients despite their potential to deliver health messages to large audiences. Hence, there should be more rigorous research to explain the behaviour of cancer patients in SNS. This study seeks to explore the emotional, cognitive, social and technological constructs that affect the performance of cancer patients in social networks by using social cognitive theory SCT and task technology fit TTF theory. This study also aims to use a mixed method study in Mount Miriam Cancer Hospital MMCH and Kluang Cancer Support Group in peninsular Malaysia.

[1]  Dhavan V. Shah,et al.  Predictors of Online Health Information Seeking among Women with Breast Cancer: the Role of Social Support Perception and Emotional Well-being , 2022 .

[2]  J Hanson,et al.  Internet usage among women with breast cancer: an exploratory study. , 2000, Clinical breast cancer.

[3]  A. Poropat,et al.  The impact of information systems on user performance: A critical review and theoretical model , 2009 .

[4]  Gonzalo Bacigalupe,et al.  Is there a role for social technologies in collaborative healthcare? , 2011, Families, systems & health : the journal of collaborative family healthcare.

[5]  Chulmo Koo,et al.  Website Quality, Expectation, Confirmation, and End User Satisfaction: The Knowledge-Intensive Website of the Korean National Cancer Information Center , 2011, Journal of medical Internet research.

[6]  Robert P. Hawkins,et al.  Factors Associated with Use of Interactive Cancer Communication System: An Application of the Comprehensive Model of Information Seeking , 2010, J. Comput. Mediat. Commun..

[7]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[8]  J. Wareham,et al.  Health 2.0 and Medicine 2.0: Tensions and Controversies in the Field , 2008, Journal of medical Internet research.

[9]  Jeong Yeob Han,et al.  Antecedent Characteristics of Online Cancer Information Seeking Among Rural Breast Cancer Patients: An Application of the Cognitive-Social Health Information Processing (C-SHIP) Model , 2008, Journal of health communication.

[10]  Kévin D. Carillo,et al.  Social Cognitive Theory in IS Research - Literature Review, Criticism, and Research Agenda , 2010, ICISTM.

[11]  E. Larson,et al.  Dissemination of health information through social networks: twitter and antibiotics. , 2010, American journal of infection control.

[12]  Elske Ammenwerth,et al.  BMC Medical Informatics and Decision Making , 2022 .

[13]  Lisette Schoonhoven,et al.  Use of Social Media by Western European Hospitals: Longitudinal Study , 2012, Journal of medical Internet research.

[14]  Wu-Yuin Hwang,et al.  The Influences of Social Self-Efficacy on Social Trust and Social Capital--A Case Study of Facebook , 2012 .

[15]  R. W. Rogers,et al.  The Self-Efficacy Scale: Construction and Validation , 1982 .

[16]  Kasisomayajula Viswanath,et al.  Social media use by community-based organizations conducting health promotion: a content analysis , 2013, BMC Public Health.

[17]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[18]  J. Uhrig,et al.  Social Networking Websites as a Platform for Disseminating Social Marketing Interventions: An Exploratory Pilot Study , 2010 .

[19]  D. Gustafson,et al.  Effect of computer support on younger women with breast cancer , 2001, Journal of General Internal Medicine.

[20]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[21]  Andrew Burton-Jones,et al.  From Use to Effective Use: A Representation Theory Perspective , 2013, Inf. Syst. Res..

[22]  Bret R. Shaw,et al.  Use and Impact of eHealth System by Low-income Women With Breast Cancer , 2005, Journal of health communication.

[23]  Vibha Kumar,et al.  Impact of Health Information Systems on Organizational Health Communication and Behavior , 2011 .

[24]  M. Frese,et al.  Performance Concepts and Performance Theory , 2005 .

[25]  L. Berkman,et al.  From social integration to health: Durkheim in the new millennium. , 2000, Social science & medicine.

[26]  G. Eysenbach,et al.  Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.

[27]  G. Eysenbach.  Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness , 2008, Journal of medical Internet research.

[28]  P. Nambisan.  Conceptualising customers' Online Community Experience (OCE): an experimental study , 2009 .

[29]  Sarah M. Greene,et al.  Improving modern cancer care through information technology. , 2011, American journal of preventive medicine.

[30]  L. Engelen,et al.  Definition of Health 2.0 and Medicine 2.0: A Systematic Review , 2010, Journal of medical Internet research.

[31]  Priya Nambisan,et al.  Information seeking and social support in online health communities: impact on patients' perceived empathy , 2011, J. Am. Medical Informatics Assoc..

[32]  David F. Midgley,et al.  Formative versus reflective measurement models: two applications of formative measurement | NOVA. The University of Newcastle's Digital Repository , 2008 .

[33]  Mohamed Khalifa,et al.  Determinants of Satisfaction at Different Adoption Stages of Internet-Based Services , 2003, J. Assoc. Inf. Syst..

[34]  Edgardo Bravo,et al.  Information systems and performance: the role of technology, the task and the individual , 2015, Behav. Inf. Technol..

[35]  John W. Creswell,et al.  Research Design: Qualitative, Quantitative, and Mixed Methods Approaches , 2010 .

[36]  B. Resnick,et al.  Effects of a Social Cognitive Theory-Based Hip Fracture Prevention Web Site for Older Adults , 2010, Computers, informatics, nursing : CIN.

[37]  Lionel Q. Mew,et al.  Online social networking: a task-person-technology fit perspective , 2009 .

[38]  S.-S. Liaw,et al.  Understanding user perceptions of World-wide web environments , 2002, J. Comput. Assist. Learn..

[39]  Stacy N Davis,et al.  Use and taxonomy of social media in cancer-related research: a systematic review. , 2014, American journal of public health.

[40]  F. Griffiths,et al.  Social networks--the future for health care delivery. , 2012, Social science & medicine.

[41]  James H. Watt,et al.  Online Community Experience (OCE) and its impact on customer attitudes: an exploratory study , 2008 .

[42]  John S. Luo,et al.  Social Networking, Health 2.0, and Beyond , 2010 .

[43]  Govindan Marthandan,et al.  Information systems evaluation: an ongoing measure , 2010, Int. J. Bus. Inf. Syst..

[44]  Lionel Q. Mew,et al.  Effects of Computer Self Efficacy on the Use and Adoption of Online Social Networking , 2010, Int. J. Virtual Communities Soc. Netw..