Literature DB >> 33898589

Real-time electronic patient evaluation of lymphedema symptoms, referral, and satisfaction: a cross-sectional study.

Jennifer L Nahum1, Mei R Fu1,2, Joan Scagliola3, Martha Rodorigo1, Sandy Tobik1, Amber Guth4, Deborah Axelrod4.   

Abstract

BACKGROUND: Lymphedema is a progressive and chronic illness. Early detection and treatment often lead to better clinical outcomes and improvement of patients' quality of life. Lymphedema symptoms can assist in detecting lymphedema. However, the use of patient-reported symptom evaluation is still limited in clinical practice. To address this gap in clinical practice, a metropolitan cancer center implemented an electronic patient evaluation of lymphedema symptoms (EPE-LE) to enable patients' real-time symptom report during patients' routine clinical visit while waiting to see their doctors in a waiting room. The purpose of this clinical project was to evaluate the usefulness of EPE-LE during patients' routine clinical visit.
METHODS: A cross-sectional design was used. Participants were outpatient post-surgical breast cancer patients and clinicians who were involved in the EPE-LE implementation at a metropolitan cancer center of US. Data were collected during the three-month EPE-LE implementation, including patients' report of lymphedema symptoms, patient and clinician satisfaction, and referral to lymphedema specialists. Descriptive statistics were used for data analysis.
RESULTS: During the three-month implementation, a total of 334 patients utilized the EPE-LE to report their lymphedema symptoms and 24 referrals to lymphedema specialists. Nearly all of the patients found that the EPE-LE was easy to use (91%) and that they were satisfied with the EPE-LE for reporting lymphedema symptoms (89%). The majority (70%) of patients reported that the EPE-LE helped them to learn about symptoms related to lymphedema and encouraged them to monitor their symptoms. All clinicians (100%) agreed that the use of the EPE-LE improved their lymphedema symptom assessment in post-surgical breast cancer patients; 75% reported that the EPE-LE increased their communication with patients related to lymphedema symptoms, 75% agreed they would recommend the EPE-LE for use at other cancer centers, and 75% reported that the information retrieved from the EPE-LE was helpful in evaluation of lymphedema.
CONCLUSIONS: The use of EPE-LE enhanced patients' real-time report of lymphedema symptoms, improved patient education on lymphedema symptoms, and helped clinicians for evaluation of lymphedema. The use of EPE-LE is an example how to implement evidence-based research into clinical practice that provides benefits for both patients and clinicians. 2021 mHealth. All rights reserved.

Entities:  

Keywords:  Real-time; detection; electronic tablet; evaluation; lymphedema; symptom

Year:  2021        PMID: 33898589      PMCID: PMC8063004          DOI: 10.21037/mhealth-20-118

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  16 in total

1.  In a randomized controlled trial, patients preferred electronic data collection of breast cancer risk-factor information in a mammography setting.

Authors:  Erin J Aiello; Stephen Taplin; Robert Reid; Maria Hobbs; Deborah Seger; Hakim Kamel; Jim Tufano; Rachel Ballard-Barbash
Journal:  J Clin Epidemiol       Date:  2005-10-13       Impact factor: 6.437

2.  Minimal limb volume change has a significant impact on breast cancer survivors.

Authors:  J N Cormier; Y Xing; I Zaniletti; R L Askew; B R Stewart; J M Armer
Journal:  Lymphology       Date:  2009-12       Impact factor: 1.286

Review 3.  Incidence of unilateral arm lymphoedema after breast cancer: a systematic review and meta-analysis.

Authors:  Tracey DiSipio; Sheree Rye; Beth Newman; Sandi Hayes
Journal:  Lancet Oncol       Date:  2013-03-27       Impact factor: 41.316

Review 4.  Breast-cancer related lymphedema: a review of procedure-specific incidence rates, clinical assessment AIDS, treatment paradigms, and risk reduction.

Authors:  Chirag Shah; Douglas Arthur; Justin Riutta; Pat Whitworth; Frank A Vicini
Journal:  Breast J       Date:  2012 Jul-Aug       Impact factor: 2.431

5.  Transient swelling versus lymphoedema in the first year following surgery for breast cancer.

Authors:  Sharon L Kilbreath; Mi-Joung Lee; Kathryn M Refshauge; Jane M Beith; Leigh C Ward; J M Simpson; D Black
Journal:  Support Care Cancer       Date:  2013-03-15       Impact factor: 3.603

6.  Proactive approach to lymphedema risk reduction: a prospective study.

Authors:  Mei R Fu; Deborah Axelrod; Amber A Guth; Francis Cartwright; Zeyuan Qiu; Judith D Goldberg; June Kim; Joan Scagliola; Robin Kleinman; Judith Haber
Journal:  Ann Surg Oncol       Date:  2014-05-09       Impact factor: 5.344

7.  Incidence, treatment costs, and complications of lymphedema after breast cancer among women of working age: a 2-year follow-up study.

Authors:  Ya-Chen Tina Shih; Ying Xu; Janice N Cormier; Sharon Giordano; Sheila H Ridner; Thomas A Buchholz; George H Perkins; Linda S Elting
Journal:  J Clin Oncol       Date:  2009-03-16       Impact factor: 44.544

8.  mHealth self-care interventions: managing symptoms following breast cancer treatment.

Authors:  Mei R Fu; Deborah Axelrod; Amber A Guth; Kavita Rampertaap; Nardin El-Shammaa; Karen Hiotis; Joan Scagliola; Gary Yu; Yao Wang
Journal:  Mhealth       Date:  2016-07-22

9.  Breast cancer survivors' experiences of lymphedema-related symptoms.

Authors:  Mei Rosemary Fu; Mary Rosedale
Journal:  J Pain Symptom Manage       Date:  2009-12       Impact factor: 3.612

10.  Machine learning for detection of lymphedema among breast cancer survivors.

Authors:  Mei R Fu; Yao Wang; Chenge Li; Zeyuan Qiu; Deborah Axelrod; Amber A Guth; Joan Scagliola; Yvette Conley; Bradley E Aouizerat; Jeanna M Qiu; Gary Yu; Janet H Van Cleave; Judith Haber; Ying Kuen Cheung
Journal:  Mhealth       Date:  2018-05-29
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  2 in total

1.  Development of a Mobile-Based Self-care Application for Patients with Breast Cancer-Related Lymphedema in Iran.

Authors:  Maryam Ahmadi; Seyedeh Nafiseh Shahrokhi; Morteza Khavaninzadeh; Jahanpour Alipour
Journal:  Appl Clin Inform       Date:  2022-10-05       Impact factor: 2.762

2.  Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study.

Authors:  Stephanie Dramburg; Serena Perna; Marco Di Fraia; Salvatore Tripodi; Stefania Arasi; Sveva Castelli; Danilo Villalta; Francesca Buzzulini; Ifigenia Sfika; Valeria Villella; Ekaterina Potapova; Maria Antonia Brighetti; Alessandro Travaglini; Pierluigi Verardo; Simone Pelosi; Paolo Maria Matricardi
Journal:  JMIR Mhealth Uhealth       Date:  2022-06-03       Impact factor: 4.947

  2 in total

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