Data Quality Assessment to Improve Tuberculosis Reduction Program Performance in Coast Region, Tanzania
dc.contributor.author | Lema, A. Godwin | |
dc.date.accessioned | 2022-12-01T15:00:18Z | |
dc.date.available | 2022-12-01T15:00:18Z | |
dc.date.issued | 2020-12-31 | |
dc.description | Data Quality Assessment aimed at improving programs performance and tackling factors affecting data quality in Tuberculosis (TB) reduction programs. Health facilities with limited resources perform poorly with inadequate or misleading information and are unlikely to reduce cases of TB infections. | en_US |
dc.description.abstract | Data quality assessment is central in improving program performance. Reducing TB pandemic transmission is challenging in the global south. The success of interventions to address the pandemic depends upon the availability of sound and reliable data. This study applied a mixed research design to investigate the influence of data quality assessment on the performance of TB reduction program. We interviewed staff of several facilities composed of Directly Observed Treatment (DOT) nurse in-charge, and TB coordinators, among others. We reviewed various TB-related documents and used key informant interviews and observation to collect data from selected health facilities. The findings indicated that the performance of the programs can be determined if the data reported meets the five data quality standards, and present accurately what is done at the facility level. Facilities with accurate, reliable and timely data enable the reduction of TB cases through informing adequate treatment to avoid spreading infection to the wider population unlike those with unreliable data. In this study, most of the health facilities data under-reported the number of TB cases, thus leading to poor program performance. We argue that, to improve program performance, data provided from different facilities should meet the five quality standards. The study recommends regular training of DOT nurses and improvement of monitoring and evaluation systems. | en_US |
dc.description.sponsorship | N/A | en_US |
dc.identifier.citation | Mwaipopo, Q., & Lema, G. (2020). Data Quality Assessment to Improve Tuberculosis Reduction Program Performance in Coast Region, Tanzania. Tanzania Journal for Population Studies and Development, 27(2), 21-38. Retrieved from https://tjpsd.udsm.ac.tz/index.php/tjpsd/article/view/109 | en_US |
dc.identifier.issn | 0856-0227 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11810/5926 | |
dc.language.iso | en | en_US |
dc.publisher | Population Studies and Research Centre University of Dar es Salaam | en_US |
dc.relation.ispartofseries | 27(2); | |
dc.subject | data quality, assessment, performance, tuberculosis reduction | en_US |
dc.title | Data Quality Assessment to Improve Tuberculosis Reduction Program Performance in Coast Region, Tanzania | en_US |
dc.title.alternative | Data Quality Assessment to Improve Tuberculosis Reduction Program | en_US |
dc.type | Journal Article, Peer Reviewed | en_US |
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