Literature DB >> 26911816

The influence of health-specific social network site use on the psychological well-being of cancer-affected people.

Seyedezahra Shadi Erfani1, Yvette Blount2, Babak Abedin3.   

Abstract

OBJECTIVE: We aimed to explore and examine how and in what ways the use of social network sites (SNSs) can improve health outcomes, specifically better psychological well-being, for cancer-affected people.
METHODS: Qualitative semi-structured interviews were conducted with users of the Ovarian Cancer Australia Facebook page (OCA Facebook), the exemplar SNS used in this study. Twenty-five women affected by ovarian cancer who were users of OCA Facebook were interviewed. A multi-theory perspective was employed to interpret the data.
RESULTS: Most of the study participants used OCA Facebook daily. Some users were passive and only observed created content, while other users actively posted content and communicated with other members. Analysis showed that the use of this SNS enhanced social support for users, improved the users' experiences of social connectedness, and helped users learn and develop social presence, which ultimately improved their psychological well-being. DISCUSSION: The strong theoretical underpinning of our research and empirically derived results led to a new understanding of the capacity of SNSs to improve psychological well-being. Our study provides evidence showing how the integration of these tools into existing health services can enhance patients' psychological well-being. This study also contributes to the body of knowledge on the implications of SNS use for improving the psychological well-being of cancer-affected people.
CONCLUSION: This research assessed the relationship between the use of SNSs, specifically OCA Facebook, and the psychological well-being of cancer-affected people. The study confirmed that using OCA Facebook can improve psychological well-being by demonstrating the potential value of SNSs as a support service in the healthcare industry.
© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Facebook; Social network sites; cancer-affected people; learning; psychological well-being; social connectedness; social presence; social support

Mesh:

Year:  2016        PMID: 26911816     DOI: 10.1093/jamia/ocv170

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  7 in total

Review 1.  Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review.

Authors:  Gerardo Luis Dimaguila; Kathleen Gray; Mark Merolli
Journal:  JMIR Rehabil Assist Technol       Date:  2018-05-08

2.  Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks.

Authors:  Muhammad Amith; Trevor Cohen; Rachel Cunningham; Lara S Savas; Nina Smith; Paula Cuccaro; Efrat Gabay; Julie Boom; Roger Schvaneveldt; Cui Tao
Journal:  Cancer Control       Date:  2020 Jan-Dec       Impact factor: 3.302

3.  Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank.

Authors:  Gerardo Luis Dimaguila; Kathleen Gray; Mark Merolli
Journal:  BMJ Health Care Inform       Date:  2019-08

4.  Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics.

Authors:  Gerardo Luis Dimaguila; Kathleen Gray; Mark Merolli
Journal:  J Med Internet Res       Date:  2020-07-28       Impact factor: 5.428

5.  The Effects of Website Traits and Medical Skepticism on Patients' Willingness to Follow Web-Based Medical Advice: Web-Based Experiment.

Authors:  Jennifer Claggett; Brent Kitchens; Maria Paino; Kaitlyn Beisecker Levin
Journal:  J Med Internet Res       Date:  2022-02-18       Impact factor: 5.428

6.  Network Support Using Social Networking Services to Increase Exercise Adherence Among Korean-Chinese Middle-Aged Migrant Women: Mixed Methods Study.

Authors:  Hyeyeon Lee; Hyeonkyeong Lee; Youlim Kim; Sookyung Kim; Young-Me Lee
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-05       Impact factor: 4.773

7.  'We are very individual': anticipated effects on stroke survivors of using their person-generated health data.

Authors:  Gerardo Luis Dimaguila; Frances Batchelor; Mark Merolli; Kathleen Gray
Journal:  BMJ Health Care Inform       Date:  2020-09
  7 in total

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