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Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease
The progressive nature of Parkinson’s disease, its complex treatment regimens and the high rates of comorbid conditions make self-management and treatment adherence a challenge. Clinicians have limited face-to-face consultation time with Parkinson’s disease patients, making it difficult to comprehen...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460235/ https://www.ncbi.nlm.nih.gov/pubmed/28649602 http://dx.doi.org/10.1038/s41531-016-0003-z |
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author | Lakshminarayana, Rashmi Wang, Duolao Burn, David Chaudhuri, K. Ray Galtrey, Clare Guzman, Natalie Valle Hellman, Bruce Ben James Pal, Suvankar Stamford, Jon Steiger, Malcolm Stott, R. W. Teo, James Barker, Roger A. Wang, Emma Bloem, Bastiaan R. van der Eijk, Martijn Rochester, Lynn Williams, Adrian |
author_facet | Lakshminarayana, Rashmi Wang, Duolao Burn, David Chaudhuri, K. Ray Galtrey, Clare Guzman, Natalie Valle Hellman, Bruce Ben James Pal, Suvankar Stamford, Jon Steiger, Malcolm Stott, R. W. Teo, James Barker, Roger A. Wang, Emma Bloem, Bastiaan R. van der Eijk, Martijn Rochester, Lynn Williams, Adrian |
author_sort | Lakshminarayana, Rashmi |
collection | PubMed |
description | The progressive nature of Parkinson’s disease, its complex treatment regimens and the high rates of comorbid conditions make self-management and treatment adherence a challenge. Clinicians have limited face-to-face consultation time with Parkinson’s disease patients, making it difficult to comprehensively address non-adherence. Here we share the results from a multi-centre (seven centres) randomised controlled trial conducted in England and Scotland to assess the impact of using a smartphone-based Parkinson’s tracker app to promote patient self-management, enhance treatment adherence and quality of clinical consultation. Eligible Parkinson’s disease patients were randomised using a 1:1 ratio according to a computer-generated random sequence, stratified by centre and using blocks of variable size, to intervention Parkinson’s Tracker App or control (Treatment as Usual). Primary outcome was the self-reported score of adherence to treatment (Morisky medication adherence scale −8) at 16 weeks. Secondary outcomes were Quality of Life (Parkinson’s disease questionnaire −39), quality of consultation for Parkinson’s disease patients (Patient-centred questionnaire for Parkinson’s disease), impact on non-motor symptoms (Non-motor symptoms questionnaire), depression and anxiety (Hospital anxiety and depression scale) and beliefs about medication (Beliefs about Medication Questionnaire) at 16 weeks. Primary and secondary endpoints were analysed using a generalised linear model with treatment as the fixed effect and baseline measurement as the covariate. 158 patients completed the study (Parkinson’s tracker app = 68 and TAU = 90). At 16 weeks Parkinson’s tracker app significantly improved adherence, compared to treatment as usual (mean difference: 0.39, 95%CI 0.04–0.74; p = 0.0304) with no confounding effects of gender, number of comorbidities and age. Among secondary outcomes, Parkinson’s tracker app significantly improved patients’ perception of quality of consultation (0.15, 95% CI 0.03 to 0.27; p = 0.0110). The change in non-motor symptoms was −0.82 (95% CI −1.75 to 0.10; p = 0.0822). 72% of participants in the Parkinson’s tracker app group continued to use and engage with the application throughout the 16-week trial period. The Parkinson’s tracker app can be an effective and novel way of enhancing self-reported medication adherence and quality of clinical consultation by supporting self-management in Parkinson’s disease in patients owning smartphones. Further work is recommended to determine whether the benefits of the intervention are maintained beyond the 16 week study period. |
format | Online Article Text |
id | pubmed-5460235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54602352017-06-23 Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease Lakshminarayana, Rashmi Wang, Duolao Burn, David Chaudhuri, K. Ray Galtrey, Clare Guzman, Natalie Valle Hellman, Bruce Ben James Pal, Suvankar Stamford, Jon Steiger, Malcolm Stott, R. W. Teo, James Barker, Roger A. Wang, Emma Bloem, Bastiaan R. van der Eijk, Martijn Rochester, Lynn Williams, Adrian NPJ Parkinsons Dis Article The progressive nature of Parkinson’s disease, its complex treatment regimens and the high rates of comorbid conditions make self-management and treatment adherence a challenge. Clinicians have limited face-to-face consultation time with Parkinson’s disease patients, making it difficult to comprehensively address non-adherence. Here we share the results from a multi-centre (seven centres) randomised controlled trial conducted in England and Scotland to assess the impact of using a smartphone-based Parkinson’s tracker app to promote patient self-management, enhance treatment adherence and quality of clinical consultation. Eligible Parkinson’s disease patients were randomised using a 1:1 ratio according to a computer-generated random sequence, stratified by centre and using blocks of variable size, to intervention Parkinson’s Tracker App or control (Treatment as Usual). Primary outcome was the self-reported score of adherence to treatment (Morisky medication adherence scale −8) at 16 weeks. Secondary outcomes were Quality of Life (Parkinson’s disease questionnaire −39), quality of consultation for Parkinson’s disease patients (Patient-centred questionnaire for Parkinson’s disease), impact on non-motor symptoms (Non-motor symptoms questionnaire), depression and anxiety (Hospital anxiety and depression scale) and beliefs about medication (Beliefs about Medication Questionnaire) at 16 weeks. Primary and secondary endpoints were analysed using a generalised linear model with treatment as the fixed effect and baseline measurement as the covariate. 158 patients completed the study (Parkinson’s tracker app = 68 and TAU = 90). At 16 weeks Parkinson’s tracker app significantly improved adherence, compared to treatment as usual (mean difference: 0.39, 95%CI 0.04–0.74; p = 0.0304) with no confounding effects of gender, number of comorbidities and age. Among secondary outcomes, Parkinson’s tracker app significantly improved patients’ perception of quality of consultation (0.15, 95% CI 0.03 to 0.27; p = 0.0110). The change in non-motor symptoms was −0.82 (95% CI −1.75 to 0.10; p = 0.0822). 72% of participants in the Parkinson’s tracker app group continued to use and engage with the application throughout the 16-week trial period. The Parkinson’s tracker app can be an effective and novel way of enhancing self-reported medication adherence and quality of clinical consultation by supporting self-management in Parkinson’s disease in patients owning smartphones. Further work is recommended to determine whether the benefits of the intervention are maintained beyond the 16 week study period. Nature Publishing Group UK 2017-11-13 /pmc/articles/PMC5460235/ /pubmed/28649602 http://dx.doi.org/10.1038/s41531-016-0003-z Text en © The Author(s) 2017 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lakshminarayana, Rashmi Wang, Duolao Burn, David Chaudhuri, K. Ray Galtrey, Clare Guzman, Natalie Valle Hellman, Bruce Ben James Pal, Suvankar Stamford, Jon Steiger, Malcolm Stott, R. W. Teo, James Barker, Roger A. Wang, Emma Bloem, Bastiaan R. van der Eijk, Martijn Rochester, Lynn Williams, Adrian Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease |
title | Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease |
title_full | Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease |
title_fullStr | Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease |
title_full_unstemmed | Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease |
title_short | Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease |
title_sort | using a smartphone-based self-management platform to support medication adherence and clinical consultation in parkinson’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460235/ https://www.ncbi.nlm.nih.gov/pubmed/28649602 http://dx.doi.org/10.1038/s41531-016-0003-z |
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