Literature DB >> 19394793

Feasibility and acceptability to patients of a longitudinal system for evaluating cancer-related symptoms and quality of life: pilot study of an e/Tablet data-collection system in academic oncology.

Amy P Abernethy1, James E Herndon, Jane L Wheeler, Jeannette M Day, Linda Hood, Meenal Patwardhan, Heather Shaw, Herbert Kim Lyerly.   

Abstract

Programmed, notebook-style, personal computers ("e/Tablets") can collect symptom and quality-of-life (QOL) data at the point of care. Patients use an e/Tablet in the clinic waiting area to complete electronic surveys. Information then travels wirelessly to a server, which generates a real-time report for use during the clinical visit. The objective of this study was to determine whether academic oncology patients find e/Tablets logistically acceptable and a satisfactory means of communicating symptoms to providers during repeated clinic visits. Sixty-six metastatic breast cancer patients at Duke Breast Cancer Clinic participated. E/Tablets were customized to electronically administer a satisfaction/acceptability survey, several validated questionnaires, and the Patient Care Monitor (PCM) review of symptoms survey. At each of the four visits within six months, participants completed the patient satisfaction/acceptability survey, which furnished data for the current analysis. Participant demographics were: mean age of 54 years, 77% Caucasian, and 47% with less than a college education. Participants reported that e/Tablets were easy to read (94%), easy to navigate (99%), and had a comfortable weight (90%); they found it easy to respond to questions using the e/Tablet (98%). Seventy-five percent initially indicated satisfaction with PCM for reporting symptoms; this proportion increased over time. By the last visit, 88% of participants indicated that they would recommend the PCM to other patients; 74% felt that the e/Tablet helped them remember symptoms to report to their clinician. E/Tablets offered a feasible and acceptable method for collecting longitudinal patient-reported symptom and QOL data within an academic, tertiary care, breast cancer clinic.

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Year:  2009        PMID: 19394793     DOI: 10.1016/j.jpainsymman.2008.07.011

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  53 in total

1.  Quality of life in higher resolution: the next generation of comparative effectiveness research in malignant hematology.

Authors:  Thomas W LeBlanc; Amy P Abernethy
Journal:  Haematologica       Date:  2013-06       Impact factor: 9.941

2.  Use of an electronic patient-reported outcome measurement system to improve distress management in oncology.

Authors:  Sophia K Smith; Krista Rowe; Amy P Abernethy
Journal:  Palliat Support Care       Date:  2013-10-16

3.  Commentary: encouraging clinicians to incorporate longitudinal patient-reported symptoms in routine clinical practice.

Authors:  Ethan Basch; Amy P Abernethy
Journal:  J Oncol Pract       Date:  2011-01       Impact factor: 3.840

Review 4.  Legal and regulatory considerations associated with use of patient-generated health data from social media and mobile health (mHealth) devices.

Authors:  C Petersen; P DeMuro
Journal:  Appl Clin Inform       Date:  2015-01-14       Impact factor: 2.342

5.  Creating computable algorithms for symptom management in an outpatient thoracic oncology setting.

Authors:  Mary E Cooley; David F Lobach; Ellis Johns; Barbara Halpenny; Toni-Ann Saunders; Guilherme Del Fiol; Michael S Rabin; Pamela Calarese; Isidore L Berenbaum; Ken Zaner; Kathleen Finn; Donna L Berry; Janet L Abrahm
Journal:  J Pain Symptom Manage       Date:  2013-05-13       Impact factor: 3.612

6.  Longitudinal patient-reported performance status assessment in the cancer clinic is feasible and prognostic.

Authors:  Sang-Yeon Suh; Thomas W Leblanc; Rebecca A Shelby; Gregory P Samsa; Amy P Abernethy
Journal:  J Oncol Pract       Date:  2011-11       Impact factor: 3.840

7.  Implementation and Feasibility of Electronic Patient-Reported Outcome (ePRO) Data Entry in the PRAEGNANT Real-Time Advanced and Metastatic Breast Cancer Registry.

Authors:  Markus Wallwiener; Felix Heindl; Sara Y Brucker; Florin-Andrei Taran; Andreas Hartkopf; Friedrich Overkamp; Hans-Christian Kolberg; Peyman Hadji; Hans Tesch; Johannes Ettl; Michael P Lux; Claudia Rauh; Simon Blum; Naiba Nabieva; Tobias F Brodkorb; Cornelia Faschingbauer; Hanna Langemann; Carla Schulmeyer; Bernhard Volz; Matthias Rübner; Diana Lüftner; Volkmar Müller; Erik Belleville; Wolfgang Janni; Tanja N Fehm; Diethelm Wallwiener; Thomas Ganslandt; Matthias W Beckmann; Andreas Schneeweiss; Peter A Fasching; Paul Gass
Journal:  Geburtshilfe Frauenheilkd       Date:  2017-08-24       Impact factor: 2.915

8.  Feasibility of frequent patient-reported outcome surveillance in patients undergoing hematopoietic cell transplantation.

Authors:  William A Wood; Allison M Deal; Amy Abernethy; Ethan Basch; Claudio Battaglini; Yoon Hie Kim; Julia Whitley; Charlotte Shatten; Jon Serody; Thomas Shea; Bryce B Reeve
Journal:  Biol Blood Marrow Transplant       Date:  2012-12-16       Impact factor: 5.742

Review 9.  Management of gastrointestinal symptoms in advanced cancer patients: the rapid learning cancer clinic model.

Authors:  Amy P Abernethy; Jane L Wheeler; S Yousuf Zafar
Journal:  Curr Opin Support Palliat Care       Date:  2010-03       Impact factor: 2.302

10.  Setting standards for severity of common symptoms in oncology using the PROMIS item banks and expert judgment.

Authors:  David Cella; Seung Choi; Sofia Garcia; Karon F Cook; Sarah Rosenbloom; Jin-Shei Lai; Donna Surges Tatum; Richard Gershon
Journal:  Qual Life Res       Date:  2014-06-18       Impact factor: 4.147

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