Repository logo
 

Complexity and evidence in health sector decision-making: lessons from tuberculosis infection prevention in South Africa

dc.contributor.authorPerera, Shehani
dc.contributor.authorParkhurst, Justin
dc.contributor.authorDiaconu, Karin
dc.contributor.authorBozzani, Fiammetta
dc.contributor.authorVassall, Anna
dc.contributor.authorGrant, Alison
dc.contributor.authorKielmann, Karina
dc.date.accessioned2022-09-01T09:31:39Z
dc.date.available2022-09-01T09:31:39Z
dc.date.issued2022-07-29
dc.date.updated2022-08-17T01:00:50Z
dc.descriptionFrom Crossref journal articles via Jisc Publications Router
dc.descriptionHistory: epub 2022-07-29, issued 2022-07-29
dc.descriptionArticle version: VoR
dc.descriptionPublication status: Published
dc.descriptionFunder: Economic and Social Research Council; FundRef: 10.13039/501100000269; Grant(s): ES/P008011/1
dc.descriptionFunder: Research England’s Connecting Capabilities Fund, Bloomsbury SET
dc.descriptionFunder: Fogarty International Center & National Institute of Mental Health; Grant(s): D43 TW011308
dc.descriptionKarin Diaconu - ORCID: 0000-0002-5810-9725 https://orcid.org/0000-0002-5810-9725
dc.description.abstractAbstract To better understand and plan health systems featuring multiple levels and complex causal elements, there have been increasing attempts to incorporate tools arising from complexity science to inform decisions. The utilization of new planning approaches can have important implications for the types of evidence that inform health policymaking and the mechanisms through which they do so. This paper presents an empirical analysis of the application of one such tool—system dynamics modelling (SDM)—within a tuberculosis control programme in South Africa in order to explore how SDM was utilized, and to reflect on the implications for evidence-informed health policymaking. We observed group model building workshops that served to develop the SDM process and undertook 19 qualitative interviews with policymakers and practitioners who partook in these workshops. We analysed the relationship between the SDM process and the use of evidence for policymaking through four conceptual perspectives: (1) a rationalist knowledge-translation view that considers how previously-generated research can be taken up into policy; (2) a programmatic approach that considers existing goals and tasks of decision-makers, and how evidence might address them; (3) a social constructivist lens exploring how the process of using an evidentiary planning tool like SDM can shape the understanding of problems and their solutions; and (4) a normative perspective that recognizes that stakeholders may have different priorities, and thus considers which groups are included and represented in the process. Each perspective can provide useful insights into the SDM process and the political nature of evidence use. In particular, SDM can provide technical information to solve problems, potentially leave out other concerns and influence how problems are conceptualized by formalizing the boundaries of the policy problem and delineating particular solution sets. Undertaking the process further involves choices on stakeholder inclusion affecting whose interests may be served as evidence to inform decisions.
dc.description.ispublishedpub
dc.description.statuspub
dc.identifierdoi: 10.1093/heapol/czac059
dc.identifierhttps://eresearch.qmu.ac.uk/handle/20.500.12289/12562/12562.pdf
dc.identifier.citationPerera, S., Parkhurst, J., Diaconu, K., Bozzani, F., Vassall, A., Grant, A. and Kielmann, K. (2022) ‘Complexity and evidence in health sector decision-making: lessons from tuberculosis infection prevention in South Africa’, Health Policy and Planning, 37(9), pp. 1177–1187. Available at: https://doi.org/10.1093/heapol/czac059.en
dc.identifier.urihttps://eresearch.qmu.ac.uk/handle/20.500.12289/12562
dc.identifier.urihttps://doi.org/10.1093/heapol/czac059
dc.publisherOxford University Press (OUP)
dc.rights© The Author(s) 2022. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceeissn: 1460-2237
dc.subjectHealth Policy
dc.titleComplexity and evidence in health sector decision-making: lessons from tuberculosis infection prevention in South Africa
dc.typearticle
qmu.authorDiaconu, Karin
refterms.dateAccepted2022-07-28
refterms.depositExceptionPublished Gold OA
refterms.versionVoR
rioxxterms.publicationdate2022-07-29

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
12562.pdf
Size:
260.22 KB
Format:
Adobe Portable Document Format
Description:
Published Version