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

被引:2
|
作者
Perera, Shehani [1 ]
Parkhurst, Justin [2 ]
Diaconu, Karin [3 ]
Bozzani, Fiammetta [4 ]
Vassall, Anna [5 ]
Grant, Alison [6 ,7 ,8 ]
Kielmann, Karina [3 ,9 ]
机构
[1] Univ Cape Town, Sch Publ Hlth & Family Med, Div Social & Behav Sci, Falmouth Rd, ZA-7925 Cape Town, South Africa
[2] London Sch Econ & Polit Sci, Dept Hlth Policy, Houghton St, London WC2A 2AE, England
[3] Queen Margaret Univ, Sch Hlth Sci, Inst Global Hlth & Dev, Edinburgh EH21 6UU, Midlothian, Scotland
[4] London Sch Hyg & Trop Med, Dept Global Hlth & Dev, Keppel St, London WC1E 7HT, England
[5] London Sch Hyg & Trop Med, Ctr Hlth Econ London, Keppel St, London WC1E 7HT, England
[6] London Sch Hyg & Trop Med, TB Ctr, Keppel St, London WC1E 7HT, England
[7] Univ KwaZulu Natal, Coll Hlth Sci, Sch Lab Med & Med Sci, Africa Hlth Res Inst, 719 Umbilo Rd, ZA-4013 Durban, South Africa
[8] Univ Witwatersrand, Sch Publ Hlth, 27 St Andrews Rd, ZA-2193 Johannesburg, South Africa
[9] Inst Trop Med, Dept Publ Hlth, Nationalestr 155, B-2000 Antwerp, Belgium
关键词
System dynamics modelling; health policy; evidence-based research; tuberculosis; South Africa; SYSTEM DYNAMICS; BOUNDARY OBJECTS; POLICY; KNOWLEDGE;
D O I
10.1093/heapol/czac059
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:1177 / 1187
页数:11
相关论文
共 50 条
  • [31] Household Decision-making about Delivery in Health Facilities: Evidence from Tanzania
    Danforth, E. J.
    Kruk, M. E.
    Rockers, P. C.
    Mbaruku, G.
    Galea, S.
    JOURNAL OF HEALTH POPULATION AND NUTRITION, 2009, 27 (05) : 696 - 703
  • [32] Building capacity for evidence-informed decision making: an example from South Africa
    Stewart, Ruth
    Langer, Laurenz
    Wildeman, Russell
    Erasmus, Yvonne
    Maluwa, Louis Gerald
    Jordaan, Sunet
    Lotter, Desyree
    Mitchell, Janine
    Motha, Precious
    EVIDENCE & POLICY, 2018, 14 (02): : 241 - 258
  • [33] Claims on health care: a decision-making framework for equity, with application to treatment for HIV/AIDS in South Africa
    Cleary, Susan M.
    Mooney, Gavin H.
    McIntyre, Diane E.
    HEALTH POLICY AND PLANNING, 2011, 26 (06) : 464 - 470
  • [34] Is fair value information relevant to investment decision-making: Evidence from the Australian agricultural sector?
    He, Li Yu
    Wright, Sue
    Evans, Elaine
    AUSTRALIAN JOURNAL OF MANAGEMENT, 2018, 43 (04) : 555 - 574
  • [35] Evidence-Based Practice in Social Work: Lessons from Judgment and Decision-Making Theory
    van de Luitgaarden, Guido M. J.
    BRITISH JOURNAL OF SOCIAL WORK, 2009, 39 (02): : 243 - 260
  • [36] From science to decision-making for environmental health
    Andre, Jean-Claude
    Gnansia, Elisabeth
    Levi, Yves
    ENVIRONNEMENT RISQUES & SANTE, 2020, 19 (03): : 179 - 189
  • [37] Application of provincial data in mathematical modelling to inform sub-national tuberculosis program decision-making in South Africa
    Hippner, Piotr
    Sumner, Tom
    Houben, Rein M. G. J.
    Cardenas, Vicky
    Vassall, Anna
    Bozzani, Fiammetta
    Mudzengi, Don
    Mvusi, Lindiwe
    Churchyard, Gavin
    White, Richard G.
    PLOS ONE, 2019, 14 (01):
  • [38] Understanding the decision making process of selection of medicines in the private sector in South Africa – lessons for low-middle income countries
    Velisha Ann Perumal-Pillay
    Fatima Suleman
    Journal of Pharmaceutical Policy and Practice, 13
  • [39] Understanding the decision making process of selection of medicines in the private sector in South Africa - lessons for low-middle income countries
    Perumal-Pillay, Velisha Ann
    Suleman, Fatima
    JOURNAL OF PHARMACEUTICAL POLICY AND PRACTICE, 2020, 13 (01)
  • [40] Analysis of enterprise decision-making from the point of view complexity
    Wang, DL
    Han, YS
    Dai, RW
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2003, : 38 - 45