Literature DB >> 16470231

Seeking and managing hope: patients' experiences using the Internet for cancer care.

Suzanne S Dickerson1, Marcia Boehmke, Carolann Ogle, Jean K Brown.   

Abstract

PURPOSE/
OBJECTIVES: To describe the experiences of patients with cancer using the Internet for information and support to manage the self-care aspects of illness and treatment, including symptom management. RESEARCH APPROACH: Heideggerian hermeneutics branch of phenomenology.
SETTING: The interviews took place in outpatient settings in the northeastern United States, including clinics, patients' homes, and the researchers' office. PARTICIPANTS: 20 patients self-identified as users of the Internet for cancer care. METHODOLOGIC APPROACH: Data were collected by informal interviews that provided the narrative stories for hermeneutic analysis. MAIN RESEARCH VARIABLES: Internet use for cancer care and patient-provider relationship.
FINDINGS: Five related themes and one constitutive pattern described patients' experiences. The themes were retrieving and filtering Internet information according to personal situation by Internet-savvy people in patients' support networks, seeking hope from the newest treatment options while coping with fear in manageable "bytes," self-care for personal illness situations with meaningful information regarding symptom management, empowering patients as partners when Internet information served as a second opinion in decision making and validating treatment decisions, and Internet as providing peer support. The constitutive pattern was Internet use as assisting patients in discovering ways to live with cancer as a chronic illness instead of a death sentence.
CONCLUSIONS: Patients with cancer are incorporating Internet use into their cancer care. They perceive changing provider-patient relationships when they participate in treatment decisions.
INTERPRETATION: Computer-savvy patients and their personal support networks will avail themselves of Internet information, creating the need for new interaction patterns and relationships with providers.

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Year:  2006        PMID: 16470231     DOI: 10.1188/06.ONF.E8-E17

Source DB:  PubMed          Journal:  Oncol Nurs Forum        ISSN: 0190-535X            Impact factor:   2.172


  8 in total

Review 1.  A metasynthesis of factors affecting self-management of chronic illness.

Authors:  Dena Schulman-Green; Sarah S Jaser; Chorong Park; Robin Whittemore
Journal:  J Adv Nurs       Date:  2016-01-19       Impact factor: 3.187

2.  Internet accounts of serious adverse drug reactions: a study of experiences of Stevens-Johnson syndrome and toxic epidermal necrolysis.

Authors:  Tehreem F Butt; Anthony R Cox; Jan R Oyebode; Robin E Ferner
Journal:  Drug Saf       Date:  2012-12-01       Impact factor: 5.606

Review 3.  Self-management support from the perspective of patients with a chronic condition: a thematic synthesis of qualitative studies.

Authors:  Jolanda Dwarswaard; Ellen J M Bakker; AnneLoes van Staa; Hennie R Boeije
Journal:  Health Expect       Date:  2015-01-26       Impact factor: 3.377

Review 4.  The accessibility and acceptability of self-management support interventions for men with long term conditions: a systematic review and meta-synthesis of qualitative studies.

Authors:  Paul Galdas; Zoe Darwin; Lisa Kidd; Christian Blickem; Kerri McPherson; Kate Hunt; Peter Bower; Simon Gilbody; Gerry Richardson
Journal:  BMC Public Health       Date:  2014-11-27       Impact factor: 3.295

5.  Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community.

Authors:  Yingjie Lu; Yang Wu; Jingfang Liu; Jia Li; Pengzhu Zhang
Journal:  J Med Internet Res       Date:  2017-04-07       Impact factor: 5.428

6.  Why People Living With and Beyond Cancer Use the Internet.

Authors:  Michelle Marie Holmes
Journal:  Integr Cancer Ther       Date:  2019 Jan-Dec       Impact factor: 3.279

7.  Health-related hot topic detection in online communities using text clustering.

Authors:  Yingjie Lu; Pengzhu Zhang; Jingfang Liu; Jia Li; Shasha Deng
Journal:  PLoS One       Date:  2013-02-15       Impact factor: 3.240

8.  Automatic topic identification of health-related messages in online health community using text classification.

Authors:  Yingjie Lu
Journal:  Springerplus       Date:  2013-07-10
  8 in total

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