Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda
<h4>Background</h4> Tuberculosis (TB) continues to persist with a high disease burden globally. Non-adherence to treatment remains a major problem to TB control. In Uganda, one in every four TB patients does not adhere to their TB medication. The purpose of this study was to design, deve...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462710/?tool=EBI |
| _version_ | 1811211266296905728 |
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| author | Kenneth Kidonge Katende Mercy R. Amiyo Sarah Nabukeera Ian Mugisa Patrick Kaggwa Stellah Namatovu Simon Peter Atwiine Simon Kasasa |
| author_facet | Kenneth Kidonge Katende Mercy R. Amiyo Sarah Nabukeera Ian Mugisa Patrick Kaggwa Stellah Namatovu Simon Peter Atwiine Simon Kasasa |
| author_sort | Kenneth Kidonge Katende |
| collection | DOAJ |
| description | <h4>Background</h4> Tuberculosis (TB) continues to persist with a high disease burden globally. Non-adherence to treatment remains a major problem to TB control. In Uganda, one in every four TB patients does not adhere to their TB medication. The purpose of this study was to design, develop and assess implementation of a voice-text-based mobile application to support TB patients’ adherence to medication. <h4>Methods</h4> Design science research methodology (DSRM) was utilized to develop a voice-text-based mobile health application. Agile software methodology was used to achieve steps of DSRM that are; design and development. Focus group discussions (FGDs) and Key informant interviews (KIIs) were conducted and data analysed using thematic content analysis. <h4>Results</h4> During problem identification, Stigma, transport costs, being asymptomatic, drug side effects, lack of family support were identified as challenges affecting adherence. Technologies identified and used for the development of the voice-text application included; extensible mark-up language (XML) File, Apache server, Ubuntu Server, Hypertext Pre-processor, and jQuery. In the pilot study, 27 voice messages were broadcasted, 85.2% were delivered, 103 text messages were sent and 92.2% were delivered to the intended recipients. <h4>Conclusions</h4> Voice-text message mobile health application can be used to reach a wider patient population and it has the capability of addressing some of the challenges affecting TB medication adherence. |
| first_indexed | 2024-04-12T05:10:00Z |
| format | Article |
| id | doaj.art-033fc005bf9d4d1c8dcbeba6fa2adb9b |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T05:10:00Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-033fc005bf9d4d1c8dcbeba6fa2adb9b2022-12-22T03:46:46ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01179Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in UgandaKenneth Kidonge KatendeMercy R. AmiyoSarah NabukeeraIan MugisaPatrick KaggwaStellah NamatovuSimon Peter AtwiineSimon Kasasa<h4>Background</h4> Tuberculosis (TB) continues to persist with a high disease burden globally. Non-adherence to treatment remains a major problem to TB control. In Uganda, one in every four TB patients does not adhere to their TB medication. The purpose of this study was to design, develop and assess implementation of a voice-text-based mobile application to support TB patients’ adherence to medication. <h4>Methods</h4> Design science research methodology (DSRM) was utilized to develop a voice-text-based mobile health application. Agile software methodology was used to achieve steps of DSRM that are; design and development. Focus group discussions (FGDs) and Key informant interviews (KIIs) were conducted and data analysed using thematic content analysis. <h4>Results</h4> During problem identification, Stigma, transport costs, being asymptomatic, drug side effects, lack of family support were identified as challenges affecting adherence. Technologies identified and used for the development of the voice-text application included; extensible mark-up language (XML) File, Apache server, Ubuntu Server, Hypertext Pre-processor, and jQuery. In the pilot study, 27 voice messages were broadcasted, 85.2% were delivered, 103 text messages were sent and 92.2% were delivered to the intended recipients. <h4>Conclusions</h4> Voice-text message mobile health application can be used to reach a wider patient population and it has the capability of addressing some of the challenges affecting TB medication adherence.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462710/?tool=EBI |
| spellingShingle | Kenneth Kidonge Katende Mercy R. Amiyo Sarah Nabukeera Ian Mugisa Patrick Kaggwa Stellah Namatovu Simon Peter Atwiine Simon Kasasa Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda PLoS ONE |
| title | Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda |
| title_full | Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda |
| title_fullStr | Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda |
| title_full_unstemmed | Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda |
| title_short | Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda |
| title_sort | design development and testing of a voice text mobile health application to support tuberculosis medication adherence in uganda |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462710/?tool=EBI |
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