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
  • [1] Lessons learned from Evidence-Informed Decision-Making in Nutrition & Health (EVIDENT) in Africa: a project evaluation
    Pankti Motani
    Anais Van de Walle
    Richmond Aryeetey
    Roosmarijn Verstraeten
    Health Research Policy and Systems, 17
  • [2] Lessons learned from Evidence-Informed Decision-Making in Nutrition & Health (EVIDENT) in Africa: a project evaluation
    Motani, Pankti
    Van de Walle, Anais
    Aryeetey, Richmond
    Verstraeten, Roosmarijn
    HEALTH RESEARCH POLICY AND SYSTEMS, 2019, 17 (1)
  • [3] Developing products for conservation decision-making: lessons from a spatial biodiversity assessment for South Africa
    Reyers, B.
    Rouget, M.
    Jonas, Z.
    Cowling, R. M.
    Driver, A.
    Maze, K.
    Desmet, P.
    DIVERSITY AND DISTRIBUTIONS, 2007, 13 (05) : 608 - 619
  • [4] Decision-making in Environmental Health: from evidence to action
    Hanna, L
    AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, 2002, 26 (01) : 81 - 82
  • [5] STRENGTHENING CAPACITY FOR EVIDENCE-INFORMED DECISION-MAKING IN AFRICA: EVIDENT LESSONS AND OPPORTUNITIES
    Aryeetey, Richmond
    Colecraft, Esi
    Hailu, Tesfaye
    Kolsteren, Patrick
    Lachat, Cari
    Taljaard, Christine
    Verstraeten, Roosmarijn
    ANNALS OF NUTRITION AND METABOLISM, 2017, 71 : 119 - 119
  • [6] DECISION-MAKING - LESSONS FROM TEHRAN
    PERKINS, AG
    HARVARD BUSINESS REVIEW, 1993, 71 (05) : 12 - 13
  • [7] Decision-making under crisis: insights from the health service sector
    Doran, Desmond
    Phan, Thuy Chung
    MANAGEMENT DECISION, 2024,
  • [8] Reflections on mentoring experiences for evidence-informed decision-making in South Africa and Malawi
    Jordaan, Sunet
    Stewart, Ruth
    Erasmus, Yvonne
    Maluwa, Louis
    Mitchell, Janine
    Langer, Laurenz
    Wildeman, Russell
    Tannous, Natalie
    Koch, Josee
    DEVELOPMENT IN PRACTICE, 2018, 28 (04) : 456 - 467
  • [9] Evidence-based decision-making and health technology assessment in South Korea
    Park, Seong-Hi
    Lee, Sang-Moo
    VALUE IN HEALTH, 2008, 11 : S163 - S164
  • [10] Exploring Women's Decision-Making Power and HIV/AIDS Prevention Practices in South Africa
    Kabir, Russell
    Alradie-Mohamed, Angi
    Ferdous, Nahida
    Vinnakota, Divya
    Arafat, S. M. Yasir
    Mahmud, Ilias
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (24)