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Qualitative system dynamics modelling to support the design and implementation of tuberculosis infection prevention and control measures in South African primary health care facilities

dc.contributor.authorDiaconu, Karin
dc.contributor.authorKarat, Aaron
dc.contributor.authorBozzani, Fiametta
dc.contributor.authorMcCreesh, Nicky
dc.contributor.authorFalconer, Jennifer
dc.contributor.authorVoce, Anna
dc.contributor.authorVassall, Anna
dc.contributor.authorGrant, Alison D
dc.contributor.authorKielmann, Karina
dc.date.accessioned2024-09-09T14:04:57Z
dc.date.available2024-09-09T14:04:57Z
dc.date.issued2024-08-31
dc.date.updated2024-09-09T01:27:06Z
dc.descriptionFrom Crossref journal articles via Jisc Publications Router
dc.descriptionHistory: epub 2024-08-31, issued 2024-08-31
dc.descriptionPublication status: Published
dc.descriptionFunder: Gcrf; Grant(s): CCF17-7779 ES/P008011/1
dc.descriptionKarin Diaconu - ORCID: 0000-0002-5810-9725 https://orcid.org/0000-0002-5810-9725
dc.descriptionAaron Karat - ORCID: 0000-0001-9643-664X https://orcid.org/0000-0001-9643-664X
dc.descriptionKarina Kielmann - ORCID: 0000-0001-5519-1658 https://orcid.org/0000-0001-5519-1658
dc.descriptionAM replaced with VoR 25/11/2024.
dc.description.abstractTuberculosis infection prevention and control (TB IPC) measures are a cornerstone of policy, but measures are diverse and variably implemented. Limited attention has been paid to the health system environment which influences successful implementation of these measures. We used qualitative system dynamics and group-model-building methods 1) develop a qualitative causal map of the interlinked drivers of Mycobacterium tuberculosis (Mtb) transmission in South African primary health care facilities which in turn, helped us to 2) identify plausible IPC interventions to reduce risk of transmission. Two one-day participatory workshops were held in 2019 with policy- and decision-makers at national and provincial level, and patient advocates and health professionals at clinic and district level. Causal loop diagrams were generated by participants and combined by investigators. The research team reviewed diagrams to identify the drivers of nosocomial transmission of Mtb in primary health care facilities. Interventions proposed by participants were mapped onto diagrams to identify anticipated mechanisms of action and effect. Three systemic drivers were identified: 1) Mtb nosocomial transmission is driven by bottlenecks in patient flow at given times; 2) IPC implementation and clinic processes are anchored within a staff “culture of nominal compliance”; and 3) limited systems-learning at policy level inhibits effective clinic management and IPC implementation. Interventions prioritised by workshop participants included infrastructural, organisational, and behavioural strategies that target three areas: 1) improve air quality; 2) improve use of personal protective equipment; and 3) reduce the number of individuals in the clinic. In addition to core mechanisms, participants elaborated specific additional enablers that would help sustain implementation. Qualitative system dynamics modelling (SDM) methods allowed us to capture stakeholder views and potential solutions to address the problem of sub-optimal TB IPC implementation. The participatory elements of SDM facilitated problem-solving and inclusion of multiple factors frequently neglected when considering implementation.
dc.description.ispublishedpub
dc.description.number10
dc.description.statuspub
dc.description.volume39
dc.format.extent1041–1054
dc.identifierdoi: 10.1093/heapol/czae084
dc.identifierhttps://eresearch.qmu.ac.uk/handle/20.500.12289/13847/13847.pdf
dc.identifier.citationDiaconu, K., Karat, A., Bozzani, F., McCreesh, N., Falconer, J., Voce, A., Vassall, A., Grant, A.D. and Kielmann, K. (2024) ‘Qualitative system dynamics modelling to support the design and implementation of tuberculosis infection prevention and control measures in South African primary healthcare facilities’, Health Policy and Planning, 39(10), pp. 1041–1054. Available at: https://doi.org/10.1093/heapol/czae084.
dc.identifier.urihttps://eresearch.qmu.ac.uk/handle/20.500.12289/13847
dc.identifier.urihttps://doi.org/10.1093/heapol/czae084
dc.publisherOxford University Press (OUP)
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rights.licenseCC BY 4.0 Attribution 4.0 International Deed
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceeissn: 1460-2237
dc.titleQualitative system dynamics modelling to support the design and implementation of tuberculosis infection prevention and control measures in South African primary health care facilities
dc.typearticle
dcterms.accessRightspublic
qmu.authorDiaconu, Karin
qmu.authorKarat, Aaron
qmu.authorFalconer, Jennifer
qmu.authorKielmann, Karina
qmu.centreInstitute for Global Health and Development
refterms.dateAccepted2024-08-29
refterms.dateDeposit2024-09-09
refterms.depositExceptionpublishedGoldOA
refterms.versionVoR

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