Literature DB >> 27810256

The effect of an online support group on patients׳ treatment decisions for localized prostate cancer: An online survey.

Johannes Huber1, Philipp Maatz2, Tanja Muck2, Bastian Keck3, Hans-Christoph Friederich4, Wolfgang Herzog4, Andreas Ihrig4.   

Abstract

OBJECTIVE: To analyze the effect of an online support group (OSG) on the final treatment decision for localized prostate cancer.
METHODS: We performed a cross-sectional descriptive study of the largest German prostate cancer OSG between July and October 2013. The online survey comprised 127 questions covering sociodemographic and disease-related information, decision-making habits, health-related quality of life, distress, depression, and anxiety. The primary outcome was to measure the effect of an OSG on the final treatment decision.
RESULTS: We analyzed the completed questionnaires from 686 patients with prostate cancer, 200 (29.2%) of whom revised their initial treatment decision. After revising their decisions, these patients more frequently underwent external beam radiation therapy (44.5% vs. 36.4%, P = 0.048) and active surveillance (10.5% vs. 3.7%, P<0.001) and less frequently underwent radical prostatectomy (52.5% vs. 74.9%, P<0.001). Engaging longer in the OSG, demanding a more active role in the decision-making process, and participating in a conventional support group were independently associated with revision of the initial treatment decision.
CONCLUSIONS: Of all patients participating in the OSG, 29.2% revised their initial treatment decision. We estimate that this phenomenon may affect 17,000 patients with prostate cancer in the United States of America every year. This finding highlights the importance of OSGs for the health care system. The patient׳s desired degree of involvement in decision-making should be routinely clarified to adjust counseling accordingly. TRIAL REGISTRATION: www.germanctr.de, number DRKS00005086.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bias; Decision-making; Online support group; Peer-to-peer support; Prostate cancer

Mesh:

Year:  2016        PMID: 27810256     DOI: 10.1016/j.urolonc.2016.09.010

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  9 in total

Review 1.  The Promises and Perils of Social Media for Pediatric Rheumatology.

Authors:  Jonathan S Hausmann; Elissa R Weitzman
Journal:  Rheum Dis Clin North Am       Date:  2022-02       Impact factor: 2.670

2.  Exploring Social Support in an Online Support Community for Tourette Syndrome and Tic Disorders: Analysis of Postings.

Authors:  Mercédesz Judit Soós; Neil S Coulson; E Bethan Davies
Journal:  J Med Internet Res       Date:  2022-10-04       Impact factor: 7.076

3.  Face-to-face vs. online peer support groups for prostate cancer: A cross-sectional comparison study.

Authors:  Johannes Huber; Tanja Muck; Philipp Maatz; Bastian Keck; Paul Enders; Imad Maatouk; Andreas Ihrig
Journal:  J Cancer Surviv       Date:  2017-08-31       Impact factor: 4.442

Review 4.  Risks and benefits of Twitter use by hematologists/oncologists in the era of digital medicine.

Authors:  Deanna J Attai; Patricia F Anderson; Michael J Fisch; David L Graham; Matthew S Katz; Jennifer Kesselheim; Merry Jennifer Markham; Nathan A Pennell; Mina S Sedrak; Michael A Thompson; Audun Utengen; Don S Dizon
Journal:  Semin Hematol       Date:  2017-08-12       Impact factor: 3.851

Review 5.  Web-Based Peer Support Interventions for Adults Living With Chronic Conditions: Scoping Review.

Authors:  Saima N Hossain; Susan B Jaglal; John Shepherd; Laure Perrier; Jennifer R Tomasone; Shane N Sweet; Dorothy Luong; Sonya Allin; Michelle L A Nelson; Sarah E P Munce; Sara J T Guilcher
Journal:  JMIR Rehabil Assist Technol       Date:  2021-05-25

6.  Factors influencing the degree of participation in surgical decision-making among Chinese patients with prostate cancer: A qualitative research.

Authors:  Jie Cao; Chunxue Peng; Xiaoying Lu; Lingjun Zhou; Jing Wu
Journal:  Asian J Urol       Date:  2021-08-27

7.  Feasibility and Efficacy of Online Strategies to Recruit Parents of Children With Rheumatic Diseases for Research.

Authors:  Jonathan S Hausmann; Jorge Vizcaino-Riveros; Alexandra C Marin; Machiko Minegishi; Rachele Cox; Min-Lee Chang; Laura E Schanberg; Marc Natter; Elissa R Weitzman
Journal:  ACR Open Rheumatol       Date:  2022-02-11

8.  Utilization and Influence of Online Support Communities in Idiopathic Subglottic Stenosis Patients.

Authors:  Sunil P Verma; Khodayar Goshtasbi; Lynne D Berry; Catherine Anderson; David O Francis; Alexander Gelbard
Journal:  Laryngoscope       Date:  2020-09-29       Impact factor: 2.970

9.  Machine learning to support social media empowered patients in cancer care and cancer treatment decisions.

Authors:  Daswin De Silva; Weranja Ranasinghe; Tharindu Bandaragoda; Achini Adikari; Nishan Mills; Lahiru Iddamalgoda; Damminda Alahakoon; Nathan Lawrentschuk; Raj Persad; Evgeny Osipov; Richard Gray; Damien Bolton
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

  9 in total

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