Literature DB >> 29642280

A feasibility study on using tablet personal computers for self-reported symptom assessment in newly diagnosed lung cancer patients.

Fiona W K Tang1, Carmen W H Chan1, Yin-Ping Choy2, Herbert H F Loong3, Ka Ming Chow1, Winnie K W So1.   

Abstract

AIM: The study aimed to assess the feasibility and acceptability of an innovative tablet-assisted self-reported symptom assessment among newly diagnosed lung cancer patients.
BACKGROUND: Routine symptom assessment for lung cancer patients in a fast-paced clinical environment is demanding. Mobile health technology offers a potential platform for symptom assessment and paves the way for tailored self-care intervention.
DESIGN: A feasibility study using a mixed method design.
METHOD: A convenience sample of 10 newly diagnosed lung cancer patients used tablet personal computers to self-report common symptoms: dyspnoea, fatigue, pain, and anxiety. A nurse reviewed the assessment results and provided tailored educational interventions. Acceptability was evaluated by the Electronic Self-Report Assessment-Cancer. Semi-structured interviews were conducted to explore the patients' perceptions of this symptom assessment method. Data were collected from January to March 2016.
RESULTS: An Electronic Self-Report Assessment-Cancer mean score of 23.5 (SD 2.7) showed moderate acceptance of the assessment method. Participants found this approach user-friendly and helpful in identifying their symptoms and they gained awareness and better understanding of them.
CONCLUSION: Tablet-assisted symptom assessment is a feasible method that can be further tested in busy clinical settings to assess symptom burden and identify individual needs for tailoring symptom management plans.
© 2018 John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  information technology; lung cancer; mobile health; nursing; symptom assessment

Mesh:

Year:  2018        PMID: 29642280     DOI: 10.1111/ijn.12658

Source DB:  PubMed          Journal:  Int J Nurs Pract        ISSN: 1322-7114            Impact factor:   2.066


  2 in total

1.  Development and evaluation of the Cancer Symptom Management System: Symptom Management Improves your LifE (SMILE)-a randomized controlled trial.

Authors:  Sun Young Rha; Jung Mo Nam; Jiyeon Lee
Journal:  Support Care Cancer       Date:  2019-05-25       Impact factor: 3.603

2.  Acceptability to making a self-assessment using a tablet computer and health-related quality of life in ambulatory breast cancer patients.

Authors:  Aiko Kanakubo; Michiyo Mizuno; Yoshihiro Asano; Yumiko Inoue
Journal:  Asia Pac J Oncol Nurs       Date:  2021-12-25
  2 in total

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