Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study
Background: A major challenge for prospective, clinical tuberculosis (TB) research is accurately defining a metric for measuring medication adherence. Objective: We aimed to design a method to capture directly observed therapy (DOT) via mobile health carried out by community workers. The program was...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/86126 |
| _version_ | 1848764785299030016 |
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| author | Ragan, E.J. Gill, C.J. Banos, M. Bouton, T.C. Rooney, J. Horsburgh, C.R. Warren, R.M. Myers-Franchi, Bronwyn Jacobson, K.R. |
| author_facet | Ragan, E.J. Gill, C.J. Banos, M. Bouton, T.C. Rooney, J. Horsburgh, C.R. Warren, R.M. Myers-Franchi, Bronwyn Jacobson, K.R. |
| author_sort | Ragan, E.J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Background: A major challenge for prospective, clinical tuberculosis (TB) research is accurately defining a metric for measuring medication adherence. Objective: We aimed to design a method to capture directly observed therapy (DOT) via mobile health carried out by community workers. The program was created specifically to measure TB medication adherence for a prospective TB cohort in Western Cape Province, South Africa.
Methods: Community workers collect daily adherence data on mobile smartphones. Participant-level adherence, program-level adherence, and program function are systematically monitored to assess DOT program implementation. A data dashboard allows for regular visualization of indicators. Numerous design elements aim to prevent or limit data falsification and ensure study data integrity.
Results: The cohort study is ongoing and data collection is in progress. Enrollment began on May 16, 2017, and as of January 12, 2021, a total of 236 participants were enrolled. Adherence data will be used to analyze the study’s primary aims and to investigate adherence as a primary outcome.
Conclusions: The DOT program includes a mobile health application for data collection as well as a monitoring framework and dashboard. This approach has potential to be adapted for other settings to improve the capture of medication adherence in clinical TB research. |
| first_indexed | 2025-11-14T11:24:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-86126 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | eng |
| last_indexed | 2025-11-14T11:24:52Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-861262021-11-03T04:17:26Z Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study Ragan, E.J. Gill, C.J. Banos, M. Bouton, T.C. Rooney, J. Horsburgh, C.R. Warren, R.M. Myers-Franchi, Bronwyn Jacobson, K.R. directly observed therapy medication adherence mobile applications treatment adherence and compliance tuberculosis Background: A major challenge for prospective, clinical tuberculosis (TB) research is accurately defining a metric for measuring medication adherence. Objective: We aimed to design a method to capture directly observed therapy (DOT) via mobile health carried out by community workers. The program was created specifically to measure TB medication adherence for a prospective TB cohort in Western Cape Province, South Africa. Methods: Community workers collect daily adherence data on mobile smartphones. Participant-level adherence, program-level adherence, and program function are systematically monitored to assess DOT program implementation. A data dashboard allows for regular visualization of indicators. Numerous design elements aim to prevent or limit data falsification and ensure study data integrity. Results: The cohort study is ongoing and data collection is in progress. Enrollment began on May 16, 2017, and as of January 12, 2021, a total of 236 participants were enrolled. Adherence data will be used to analyze the study’s primary aims and to investigate adherence as a primary outcome. Conclusions: The DOT program includes a mobile health application for data collection as well as a monitoring framework and dashboard. This approach has potential to be adapted for other settings to improve the capture of medication adherence in clinical TB research. 2021 Journal Article http://hdl.handle.net/20.500.11937/86126 10.2196/24510 eng http://creativecommons.org/licenses/by/4.0/ fulltext |
| spellingShingle | directly observed therapy medication adherence mobile applications treatment adherence and compliance tuberculosis Ragan, E.J. Gill, C.J. Banos, M. Bouton, T.C. Rooney, J. Horsburgh, C.R. Warren, R.M. Myers-Franchi, Bronwyn Jacobson, K.R. Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study |
| title | Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study |
| title_full | Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study |
| title_fullStr | Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study |
| title_full_unstemmed | Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study |
| title_short | Directly observed therapy to measure adherence to tuberculosis medication in observational research: Protocol for a prospective cohort study |
| title_sort | directly observed therapy to measure adherence to tuberculosis medication in observational research: protocol for a prospective cohort study |
| topic | directly observed therapy medication adherence mobile applications treatment adherence and compliance tuberculosis |
| url | http://hdl.handle.net/20.500.11937/86126 |