Cargando…
A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study
INTRODUCTION: Depression is a common mental health disorder during pregnancy, with important consequences for mothers and their children. Despite this, it goes undiagnosed and untreated in many women attending antenatal care. Smartphones could help support the prompt identification of antenatal depr...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729976/ https://www.ncbi.nlm.nih.gov/pubmed/28554914 http://dx.doi.org/10.1136/bmjopen-2016-014469 |
_version_ | 1783286276015783936 |
---|---|
author | Marcano Belisario, Jose Salvador Doherty, Kevin O'Donoghue, John Ramchandani, Paul Majeed, Azeem Doherty, Gavin Morrison, Cecily Car, Josip |
author_facet | Marcano Belisario, Jose Salvador Doherty, Kevin O'Donoghue, John Ramchandani, Paul Majeed, Azeem Doherty, Gavin Morrison, Cecily Car, Josip |
author_sort | Marcano Belisario, Jose Salvador |
collection | PubMed |
description | INTRODUCTION: Depression is a common mental health disorder during pregnancy, with important consequences for mothers and their children. Despite this, it goes undiagnosed and untreated in many women attending antenatal care. Smartphones could help support the prompt identification of antenatal depression in this setting. In addition, these devices enable the implementation of ecological momentary assessment techniques, which could be used to assess how mood is experienced during pregnancy. With this study, we will assess the feasibility of using a bespoke mobile application (app) running on participants’ own handsets for the longitudinal (6 months) monitoring of antenatal mood and screening of depression. METHODS AND ANALYSIS: We will use a randomised controlled study design to compare two types of assessment strategies: retrospective + momentary (consisting of the Edinburgh Postnatal Depression Scale plus five momentary and two contextual questions), and retrospective (consisting of the Edinburgh Postnatal Depression Scale only). We will assess the impact that these strategies have on participant adherence to a prespecified sampling protocol, dropout rates and timeliness of data completion. We will evaluate differences in acceptance of the technology through a short quantitative survey and open-ended questions. We will also assess the potential effect that momentary assessments could have on retrospective data. We will attempt to identify any patterns in app usage through the analysis of log data. ETHICS AND DISSEMINATION: This study has been reviewed and approved by the National Research Ethics Service Committee South East Coast—Surrey on 15 April 2016 as a notice of substantial amendment to the original submission (9 July 2015) under the Research Ethics Committee (REC) reference 15/LO/0977. This study is being sponsored by Imperial College London under the reference number 15IC2687 and has been included in the UK Clinical Research Network Study Portfolio under the Central Portfolio Management System number 19280. The findings of this study will be disseminated through academic peer-reviewed publications, poster presentations and abstracts at academic and professional conferences, discussion with peers, and social media. The findings of this study will also inform the PhD theses of JSMB and KD. |
format | Online Article Text |
id | pubmed-5729976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-57299762017-12-19 A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study Marcano Belisario, Jose Salvador Doherty, Kevin O'Donoghue, John Ramchandani, Paul Majeed, Azeem Doherty, Gavin Morrison, Cecily Car, Josip BMJ Open Health Informatics INTRODUCTION: Depression is a common mental health disorder during pregnancy, with important consequences for mothers and their children. Despite this, it goes undiagnosed and untreated in many women attending antenatal care. Smartphones could help support the prompt identification of antenatal depression in this setting. In addition, these devices enable the implementation of ecological momentary assessment techniques, which could be used to assess how mood is experienced during pregnancy. With this study, we will assess the feasibility of using a bespoke mobile application (app) running on participants’ own handsets for the longitudinal (6 months) monitoring of antenatal mood and screening of depression. METHODS AND ANALYSIS: We will use a randomised controlled study design to compare two types of assessment strategies: retrospective + momentary (consisting of the Edinburgh Postnatal Depression Scale plus five momentary and two contextual questions), and retrospective (consisting of the Edinburgh Postnatal Depression Scale only). We will assess the impact that these strategies have on participant adherence to a prespecified sampling protocol, dropout rates and timeliness of data completion. We will evaluate differences in acceptance of the technology through a short quantitative survey and open-ended questions. We will also assess the potential effect that momentary assessments could have on retrospective data. We will attempt to identify any patterns in app usage through the analysis of log data. ETHICS AND DISSEMINATION: This study has been reviewed and approved by the National Research Ethics Service Committee South East Coast—Surrey on 15 April 2016 as a notice of substantial amendment to the original submission (9 July 2015) under the Research Ethics Committee (REC) reference 15/LO/0977. This study is being sponsored by Imperial College London under the reference number 15IC2687 and has been included in the UK Clinical Research Network Study Portfolio under the Central Portfolio Management System number 19280. The findings of this study will be disseminated through academic peer-reviewed publications, poster presentations and abstracts at academic and professional conferences, discussion with peers, and social media. The findings of this study will also inform the PhD theses of JSMB and KD. BMJ Publishing Group 2017-05-29 /pmc/articles/PMC5729976/ /pubmed/28554914 http://dx.doi.org/10.1136/bmjopen-2016-014469 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Health Informatics Marcano Belisario, Jose Salvador Doherty, Kevin O'Donoghue, John Ramchandani, Paul Majeed, Azeem Doherty, Gavin Morrison, Cecily Car, Josip A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study |
title | A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study |
title_full | A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study |
title_fullStr | A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study |
title_full_unstemmed | A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study |
title_short | A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study |
title_sort | bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study |
topic | Health Informatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729976/ https://www.ncbi.nlm.nih.gov/pubmed/28554914 http://dx.doi.org/10.1136/bmjopen-2016-014469 |
work_keys_str_mv | AT marcanobelisariojosesalvador abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT dohertykevin abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT odonoghuejohn abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT ramchandanipaul abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT majeedazeem abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT dohertygavin abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT morrisoncecily abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT carjosip abespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT marcanobelisariojosesalvador bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT dohertykevin bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT odonoghuejohn bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT ramchandanipaul bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT majeedazeem bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT dohertygavin bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT morrisoncecily bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy AT carjosip bespokemobileapplicationforthelongitudinalassessmentofdepressionandmoodduringpregnancyprotocolofafeasibilitystudy |