E-Thesis 574 views 280 downloads
Mobile technologies for chronic condition management. / Thomas Owen
Swansea University Author: Thomas Owen
-
PDF | E-Thesis
Download (12.16MB)
Abstract
The management of long term chronic conditions is a complex and challenging task. The process relies on individuals engaging in regular recording of factors that affect their health. Yet currently, the mobile tools that people carry with them are not being fully utilised to assist in this process. T...
Published: |
2015
|
---|---|
Institution: | Swansea University |
Degree level: | Doctoral |
Degree name: | Ph.D |
URI: | https://cronfa.swan.ac.uk/Record/cronfa42665 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2018-08-02T18:55:15Z |
---|---|
last_indexed |
2018-08-03T10:10:45Z |
id |
cronfa42665 |
recordtype |
RisThesis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2018-08-02T16:24:30.0397959</datestamp><bib-version>v2</bib-version><id>42665</id><entry>2018-08-02</entry><title>Mobile technologies for chronic condition management.</title><swanseaauthors><author><sid>cdc0fb69b99e6106b522fa66bd638868</sid><ORCID>NULL</ORCID><firstname>Thomas</firstname><surname>Owen</surname><name>Thomas Owen</name><active>true</active><ethesisStudent>true</ethesisStudent></author></swanseaauthors><date>2018-08-02</date><abstract>The management of long term chronic conditions is a complex and challenging task. The process relies on individuals engaging in regular recording of factors that affect their health. Yet currently, the mobile tools that people carry with them are not being fully utilised to assist in this process. This Thesis reports on research that has been completed to understand the role that mobile technologies can have in supporting people with chronic conditions. An individual engaging in personal monitoring is concerned with the data they collect, not the process used to capture the data. The results of the research conducted contribute to an advancement of knowledge around how mobile technologies can assist in personal reflection on health information to provide greater understanding of chronic disease management This understanding of the role of reflection in chronic condition management can then be used as a platform to improve the mobile interventions in future implementations. These findings are arrived at by conducting an initial investigation into the usage of existing health monitoring devices and an evaluation of these devices is detailed. The results of this early work suggests there exists a gap between real practice and the role that mobile technologies can play in assisting with the process. A deeper understanding of the management practices of people with diabetes is then achieved through a set of interviews with individuals with diabetes. The findings then define a model of chronic disease management, named the 'Diabetes Management Cycle.' Following the definition of the cycle, a mobile application was implemented and deployed during a four week evaluation with individuals with type 1 diabetes. This system was designed to support existing management practices and implemented simple methods of information capture. A second application was then developed to enable increased monitoring and subsequent reflection amongst individuals with cardiovascular conditions. The application was deployed in a six week in-situ evaluation and it was discovered a personalised 'tagging' mechanism allowed for the discovery of patterns affecting health. Based on the findings of the studies, the Thesis concludes by presenting definitions of ready- to-hand in the short- and long-term contexts of mobile health management. These ready-to-hand guidelines provide a platform for future research projects to build upon.</abstract><type>E-Thesis</type><journal/><journalNumber></journalNumber><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><issnPrint/><issnElectronic/><keywords>Computer science.;Health care management.</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-12-31</publishedDate><doi/><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><degreelevel>Doctoral</degreelevel><degreename>Ph.D</degreename><apcterm/><lastEdited>2018-08-02T16:24:30.0397959</lastEdited><Created>2018-08-02T16:24:30.0397959</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Thomas</firstname><surname>Owen</surname><orcid>NULL</orcid><order>1</order></author></authors><documents><document><filename>0042665-02082018162512.pdf</filename><originalFilename>10807434.pdf</originalFilename><uploaded>2018-08-02T16:25:12.3330000</uploaded><type>Output</type><contentLength>12643877</contentLength><contentType>application/pdf</contentType><version>E-Thesis</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-08-02T16:25:12.3330000</embargoDate><copyrightCorrect>false</copyrightCorrect></document></documents><OutputDurs/></rfc1807> |
spelling |
2018-08-02T16:24:30.0397959 v2 42665 2018-08-02 Mobile technologies for chronic condition management. cdc0fb69b99e6106b522fa66bd638868 NULL Thomas Owen Thomas Owen true true 2018-08-02 The management of long term chronic conditions is a complex and challenging task. The process relies on individuals engaging in regular recording of factors that affect their health. Yet currently, the mobile tools that people carry with them are not being fully utilised to assist in this process. This Thesis reports on research that has been completed to understand the role that mobile technologies can have in supporting people with chronic conditions. An individual engaging in personal monitoring is concerned with the data they collect, not the process used to capture the data. The results of the research conducted contribute to an advancement of knowledge around how mobile technologies can assist in personal reflection on health information to provide greater understanding of chronic disease management This understanding of the role of reflection in chronic condition management can then be used as a platform to improve the mobile interventions in future implementations. These findings are arrived at by conducting an initial investigation into the usage of existing health monitoring devices and an evaluation of these devices is detailed. The results of this early work suggests there exists a gap between real practice and the role that mobile technologies can play in assisting with the process. A deeper understanding of the management practices of people with diabetes is then achieved through a set of interviews with individuals with diabetes. The findings then define a model of chronic disease management, named the 'Diabetes Management Cycle.' Following the definition of the cycle, a mobile application was implemented and deployed during a four week evaluation with individuals with type 1 diabetes. This system was designed to support existing management practices and implemented simple methods of information capture. A second application was then developed to enable increased monitoring and subsequent reflection amongst individuals with cardiovascular conditions. The application was deployed in a six week in-situ evaluation and it was discovered a personalised 'tagging' mechanism allowed for the discovery of patterns affecting health. Based on the findings of the studies, the Thesis concludes by presenting definitions of ready- to-hand in the short- and long-term contexts of mobile health management. These ready-to-hand guidelines provide a platform for future research projects to build upon. E-Thesis Computer science.;Health care management. 31 12 2015 2015-12-31 COLLEGE NANME Computer Science COLLEGE CODE Swansea University Doctoral Ph.D 2018-08-02T16:24:30.0397959 2018-08-02T16:24:30.0397959 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Thomas Owen NULL 1 0042665-02082018162512.pdf 10807434.pdf 2018-08-02T16:25:12.3330000 Output 12643877 application/pdf E-Thesis true 2018-08-02T16:25:12.3330000 false |
title |
Mobile technologies for chronic condition management. |
spellingShingle |
Mobile technologies for chronic condition management. Thomas Owen |
title_short |
Mobile technologies for chronic condition management. |
title_full |
Mobile technologies for chronic condition management. |
title_fullStr |
Mobile technologies for chronic condition management. |
title_full_unstemmed |
Mobile technologies for chronic condition management. |
title_sort |
Mobile technologies for chronic condition management. |
author_id_str_mv |
cdc0fb69b99e6106b522fa66bd638868 |
author_id_fullname_str_mv |
cdc0fb69b99e6106b522fa66bd638868_***_Thomas Owen |
author |
Thomas Owen |
author2 |
Thomas Owen |
format |
E-Thesis |
publishDate |
2015 |
institution |
Swansea University |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
document_store_str |
1 |
active_str |
0 |
description |
The management of long term chronic conditions is a complex and challenging task. The process relies on individuals engaging in regular recording of factors that affect their health. Yet currently, the mobile tools that people carry with them are not being fully utilised to assist in this process. This Thesis reports on research that has been completed to understand the role that mobile technologies can have in supporting people with chronic conditions. An individual engaging in personal monitoring is concerned with the data they collect, not the process used to capture the data. The results of the research conducted contribute to an advancement of knowledge around how mobile technologies can assist in personal reflection on health information to provide greater understanding of chronic disease management This understanding of the role of reflection in chronic condition management can then be used as a platform to improve the mobile interventions in future implementations. These findings are arrived at by conducting an initial investigation into the usage of existing health monitoring devices and an evaluation of these devices is detailed. The results of this early work suggests there exists a gap between real practice and the role that mobile technologies can play in assisting with the process. A deeper understanding of the management practices of people with diabetes is then achieved through a set of interviews with individuals with diabetes. The findings then define a model of chronic disease management, named the 'Diabetes Management Cycle.' Following the definition of the cycle, a mobile application was implemented and deployed during a four week evaluation with individuals with type 1 diabetes. This system was designed to support existing management practices and implemented simple methods of information capture. A second application was then developed to enable increased monitoring and subsequent reflection amongst individuals with cardiovascular conditions. The application was deployed in a six week in-situ evaluation and it was discovered a personalised 'tagging' mechanism allowed for the discovery of patterns affecting health. Based on the findings of the studies, the Thesis concludes by presenting definitions of ready- to-hand in the short- and long-term contexts of mobile health management. These ready-to-hand guidelines provide a platform for future research projects to build upon. |
published_date |
2015-12-31T03:53:24Z |
_version_ |
1763752652220399616 |
score |
11.036706 |