Overcoming limitations of tuberculosis information systems : researcher and clinician perspectives

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dc.contributor.authorVan Der Heijden, Y. F.en_ZA
dc.contributor.authorHughes, J.en_ZA
dc.contributor.authorDowdy, D. W.en_ZA
dc.contributor.authorStreicher, E.en_ZA
dc.contributor.authorChihota, V.en_ZA
dc.contributor.authorJacobson, K. R.en_ZA
dc.contributor.authorWarren, R.en_ZA
dc.contributor.authorTheron, G.en_ZA
dc.date.accessioned2021-11-11T12:45:43Z
dc.date.available2021-11-11T12:45:43Z
dc.date.issued2019
dc.descriptionCITATION: Van Der Heijden, Y. F., et al. 2019. Overcoming limitations of tuberculosis information systems : researcher and clinician perspectives. Public Health Action, 9(3):120-127, doi:10.5588/pha.19.0014.
dc.descriptionThe original publication is available at https://www.ingentaconnect.com
dc.description.abstractSetting: Tuberculosis (TB) diagnosis and treatment requires patients to have multiple encounters with health care systems and the different stakeholders who play a role in curing them to coordinate their efforts. To optimize this process, high-quality, readily available data are required. Data systems to facilitate these linkages are a neglected priority which, if weak, fundamentally undermine TB control interventions. Objective: To describe lessons learnt from the use of programmatic data for TB patient care and research. Design: We did a survey of researcher and clinical provider experiences with information systems and developed a tiered approach to addressing frequently reported barriers to high-quality care. Results: Unreliable linkages, incomplete data, lack of a reliable unique patient identifier, and lack of data management expertise were the most important data-related barriers to high-quality patient care and research. We propose the creation of health service delivery environments that facilitate, prioritize, and evaluate high-quality data entry during patient or specimen registration. Conclusion: An integrated approach, focused on high-quality data, and centered on unique patient identification will form the foundation for linkages across health systems that reduce patient management errors, bolster surveillance, and enhance the quality of research based on programmatic data.en_ZA
dc.description.urihttps://www.ingentaconnect.com/content/iuatld/pha/2019/00000009/00000003/art00009;jsessionid=4pgkh4gppppan.x-ic-live-03#
dc.description.versionPublisher's version
dc.format.extent8 pagesen_ZA
dc.identifier.citationVan Der Heijden, Y. F., et al. 2019. Overcoming limitations of tuberculosis information systems : researcher and clinician perspectives. Public Health Action, 9(3):120-127, doi:10.5588/pha.19.0014
dc.identifier.issn2220-8372 (online)
dc.identifier.otherdoi:10.5588/pha.19.0014
dc.identifier.urihttp://hdl.handle.net/10019.1/123426
dc.language.isoen_ZAen_ZA
dc.publisherInternational Union Against Tuberculosis and Lung Diseaseen_ZA
dc.rights.holderThe Unionen_ZA
dc.subjectTuberculosisen_ZA
dc.subjectMedical record linkageen_ZA
dc.subjectDual record systemsen_ZA
dc.subjectMedicine -- Researchen_ZA
dc.subjectPatients -- Medical recordsen_ZA
dc.titleOvercoming limitations of tuberculosis information systems : researcher and clinician perspectivesen_ZA
dc.typeArticleen_ZA
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