Literature DB >> 33874994

Mobile App-based documentation of patient-reported outcomes - 3-months results from a proof-of-concept study on modern rheumatology patient management.

Jutta G Richter1, Christina Nannen2, Gamal Chehab2, Hasan Acar2, Arnd Becker3, Reinhart Willers2, Dörte Huscher4,5, Matthias Schneider2.   

Abstract

BACKGROUND: Mobile medical applications (Apps) offer innovative solutions for patients' self-monitoring and new patient management opportunities. Prior to routine clinical application feasibility and acceptance of disease surveillance using an App that includes electronic (e) patient-reported outcome measures (PROMs) warrant evaluation. Therefore, we performed a proof-of-concept study in which rheumatoid arthritis (RA) patients used an App (RheumaLive) to document their disease.
METHODS: Accurate PROM reporting via an App in comparison to paper-based versions was investigated to exclude media bias. Sixty participants recruited from 268 consecutive RA outpatients completed paper-based and electronic PROMs (Hannover Functional Questionnaire/derived HAQ; modified RA disease activity index) using the App at baseline and follow-up visits. Between visits, patients used their App on their own smartphone according to their preferences. The equivalence of PROM data and user experiences from patients and physicians were evaluated.
RESULTS: Patients' (78.3% female) mean (SD) age was 50.1 (13.1) years, disease duration 10.5 (9.1) years, and paper-based HAQ 0.78 (0.59). Mean confidence in Apps scored 3.5 (1.1, Likert scale 1 to 6). ePROMs' scores obtained by patients' data entry in the App were equivalent to paper-based ones and preferred by the patients. After 3 months, the App retention rate was 71.7%. Patients' overall satisfaction with the App was 2.2 (0.9, Likert scale 1 to 6). Patients and physicians valued the App, i.e., for patient-physician interaction: 87% reported that it was easier for them to document the course of the disease using the App than "only" answering questions about their current health during routine outpatient visits. Further App use was recommended in 77.3% of the patients, and according to physicians, in seven patients, the App use contributed to an increased adherence to therapy.
CONCLUSION: Our study provides an essential basis for the broader implementation of medical Apps in routine care. We demonstrated the feasibility and acceptance of disease surveillance using a smartphone App in RA. App use was convincing as a reliable option to perform continuous, remote monitoring of disease activity and treatment efficacy. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02565225 . Registered on September 16, 2015 (retrospectively registered).

Entities:  

Keywords:  Digital health; Electronic patient reported outcomes; Mobile Apps; Rheumatoid arthritis

Year:  2021        PMID: 33874994     DOI: 10.1186/s13075-021-02500-3

Source DB:  PubMed          Journal:  Arthritis Res Ther        ISSN: 1478-6354            Impact factor:   5.156


  31 in total

1.  [Comparative evaluation of a German version of the Health Assessment Questionnaire and the Hannover Functional Capacity Questionnaire].

Authors:  J Lautenschläger; W Mau; T Kohlmann; H H Raspe; F Struve; W Brückle; H Zeidler
Journal:  Z Rheumatol       Date:  1997 May-Jun       Impact factor: 1.372

2.  Use of patient-reported outcomes in clinical practice.

Authors:  Claire F Snyder; Neil K Aaronson
Journal:  Lancet       Date:  2009-08-01       Impact factor: 79.321

3.  Patient-Clinician Co-Design Co-Participation in Design of an App for Rheumatoid Arthritis Management via Telehealth Yields an App with High Usability and Acceptance.

Authors:  Rebecca Grainger; Hermaleigh Townsley; Tobias Langlotz; William Taylor
Journal:  Stud Health Technol Inform       Date:  2017

Review 4.  Smartphone interventions for long-term health management of chronic diseases: an integrative review.

Authors:  Jingting Wang; Yuanyuan Wang; Chunlan Wei; Nengliang Aaron Yao; Avery Yuan; Yuying Shan; Changrong Yuan
Journal:  Telemed J E Health       Date:  2014-05-01       Impact factor: 3.536

Review 5.  Electronic health records in rheumatology: emphasis on automated scoring and additional use.

Authors:  Jutta G Richter; Gamal Chehab; Matthias Schneider
Journal:  Clin Exp Rheumatol       Date:  2016-10-18       Impact factor: 4.473

6.  Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report.

Authors:  Stephen Joel Coons; Chad J Gwaltney; Ron D Hays; J Jason Lundy; Jeff A Sloan; Dennis A Revicki; William R Lenderking; David Cella; Ethan Basch
Journal:  Value Health       Date:  2008-11-11       Impact factor: 5.725

Review 7.  The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature.

Authors:  J M Valderas; A Kotzeva; M Espallargues; G Guyatt; C E Ferrans; M Y Halyard; D A Revicki; T Symonds; A Parada; J Alonso
Journal:  Qual Life Res       Date:  2008-01-04       Impact factor: 4.147

Review 8.  Future perspectives of Smartphone applications for rheumatic diseases self-management.

Authors:  Ana Rita Pereira Azevedo; Hugo Manuel Lopes de Sousa; Joaquim António Faria Monteiro; Aurea Rosa Nunes Pereira Lima
Journal:  Rheumatol Int       Date:  2014-08-29       Impact factor: 2.631

9.  Self-assessments of patients via Tablet PC in routine patient care: comparison with standardised paper questionnaires.

Authors:  J G Richter; A Becker; T Koch; M Nixdorf; R Willers; R Monser; B Schacher; R Alten; C Specker; M Schneider
Journal:  Ann Rheum Dis       Date:  2008-07-22       Impact factor: 19.103

10.  Mobile Apps for Individuals With Rheumatoid Arthritis: A Systematic Review.

Authors:  Dee Luo; Penny Wang; Fengxin Lu; Josephine Elias; Jeffrey A Sparks; Yvonne C Lee
Journal:  J Clin Rheumatol       Date:  2019-04       Impact factor: 3.517

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  6 in total

1.  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.  Mobile Responsive App-A Useful Additional Tool for Data Collection in the German Pregnancy Register Rhekiss?

Authors:  Jutta G Richter; Anja Weiß; Christina Bungartz; Rebecca Fischer-Betz; Angela Zink; Matthias Schneider; Anja Strangfeld
Journal:  Front Med (Lausanne)       Date:  2021-12-17

Review 3.  A Narrative Literature Review of Bias in Collecting Patient Reported Outcomes Measures (PROMs).

Authors:  Michela Luciana Luisa Zini; Giuseppe Banfi
Journal:  Int J Environ Res Public Health       Date:  2021-11-26       Impact factor: 3.390

4.  Patient-Reported Outcome Information Collected from Lupus Patients Using a Mobile Application: Compliance and Validation.

Authors:  Kristy Bell; Claire Dykas; Bridget Muckian; Brooke Williams; Hope Rainey; Maggy Comberg; Mary Mora; Katherine A Owen; Peter E Lipsky
Journal:  ACR Open Rheumatol       Date:  2021-11-10

5.  [Identification of rheumatological health apps in the Apple app store applying the "semiautomatic retrospective app store analysis" method : A longitudinal observation].

Authors:  J G Richter; G Chehab; U Kiltz; A Becker; U von Jan; U-V Albrecht; M Schneider; C Specker
Journal:  Z Rheumatol       Date:  2021-10-11       Impact factor: 1.372

Review 6.  Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs).

Authors:  Diederik De Cock; Elena Myasoedova; Daniel Aletaha; Paul Studenic
Journal:  Ther Adv Musculoskelet Dis       Date:  2022-06-30       Impact factor: 3.625

  6 in total

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