Literature DB >> 21093371

Piloting electronic self report symptom assessment - Cancer (ESRA-C) in Hong Kong: a mixed method approach.

Carmen W H Chan1, Wilson Tam, Karis K F Cheng, Ying Yu Chui, Winnie K W So, Tony Mok, Connie Wong, Justin McReynolds, Donna L Berry.   

Abstract

PURPOSE: The benefits of utilizing computerized assessment in clinical settings have been reported in studies over the last three decades and more recently in the oncology settings. This study aimed to assess the feasibility and acceptability of using an electronic self report symptom assessment tool among Chinese oncology patients. METHODS AND SAMPLE: The tool, developed by The University of Washington, Distributed Health Assessment and Intervention Research (DHAIR) group was translated into Chinese. The adapted web-based survey platform, the Electronic Self Report Assessment - Cancer (ESRA-C), was tested in a local cancer resource center in Hong Kong. Participants' perceptions of the acceptability and feasibility of the symptom assessment process were assessed using the Acceptability E-scale as well as observation and qualitative interview data. Demographic data were also collected through the touch screen computer system. A convenience sample of 30 (11 male and 19 female) oncology patients was recruited to use the touch-screen computer to assess participants' symptoms using ESRA-C.
RESULTS: The acceptability scale indicated moderately high acceptability in each subscale (mean score of 3.32-4.71). On average, participants took 17.5 min (SD: 8.9) to complete the ESRA-C. The qualitative interview data revealed that the majority (25 participants) asserted that the ESRA-C was useful and effective in reporting personal health conditions.
CONCLUSIONS: The study suggested that electronic assessment can offer a feasible, attractive, and viable means of implementing regular and comprehensive symptom assessment, which can lead to better symptom management in cancer patients.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21093371     DOI: 10.1016/j.ejon.2010.10.002

Source DB:  PubMed          Journal:  Eur J Oncol Nurs        ISSN: 1462-3889            Impact factor:   2.398


  2 in total

1.  Feasibility and acceptance of electronic monitoring of symptoms and syndromes using a handheld computer in patients with advanced cancer in daily oncology practice.

Authors:  D Blum; D Koeberle; A Omlin; J Walker; R Von Moos; W Mingrone; S deWolf-Linder; S Hayoz; S Kaasa; F Strasser; K Ribi
Journal:  Support Care Cancer       Date:  2014-04-05       Impact factor: 3.603

2.  Patients and Caregivers Rate the PAINReportIt Wireless Internet-Enabled Tablet as a Method for Reporting Pain During End-of-Life Cancer Care.

Authors:  Tasha M Schoppee; Brenda W Dyal; Lisa Scarton; Miriam O Ezenwa; Prashant Singh; Yingwei Yao; Marie L Suarez; Zaijie J Wang; Robert E Molokie; Diana J Wilkie
Journal:  Cancer Nurs       Date:  2020 Sep/Oct       Impact factor: 2.592

  2 in total

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