Mathematical modelling for health systems research: a systematic review of system dynamics and agent-based models

被引:52
|
作者
Cassidy, Rachel [1 ]
Singh, Neha S. [1 ]
Schiratti, Pierre-Raphael [2 ,3 ]
Semwanga, Agnes [4 ]
Binyaruka, Peter [5 ]
Sachingongu, Nkenda [6 ]
Chama-Chiliba, Chitalu Miriam [7 ]
Chalabi, Zaid [8 ]
Borghi, Josephine [1 ]
Blanchet, Karl [1 ]
机构
[1] London Sch Hyg & Trop Med, Dept Global Hlth & Dev, 15-17 Tavistock Pl, London WC1H 9SH, England
[2] UCL, Dept Math, London, England
[3] Sia Partners UK, London, England
[4] Makerere Univ, Dept Informat Syst, Coll Comp & Informat Sci, POB 7062, Kampala, Uganda
[5] Ifakara Hlth Inst, POB 78373, Dar Es Salaam, Tanzania
[6] Univ Zambia, Sch Humanities & Social Sci, Dept Gender Studies, Lusaka 10101, Zambia
[7] Univ Zambia, Inst Econ & Social Res, Econ & Business Res Programme, POB 30900, Lusaka 10101, Zambia
[8] London Sch Hyg & Trop, Dept Publ Hlth Environm & Soc, London, England
关键词
System dynamics; Agent-based; Hybrid; Health systems; Systematic review; Modelling; DISCRETE-EVENT SIMULATION; CARE; EMERGENCY; PERFORMANCE; MANAGEMENT; SERVICES; THINKING; DEMAND;
D O I
10.1186/s12913-019-4627-7
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
Background Mathematical modelling has been a vital research tool for exploring complex systems, most recently to aid understanding of health system functioning and optimisation. System dynamics models (SDM) and agent-based models (ABM) are two popular complementary methods, used to simulate macro- and micro-level health system behaviour. This systematic review aims to collate, compare and summarise the application of both methods in this field and to identify common healthcare settings and problems that have been modelled using SDM and ABM. Methods We searched MEDLINE, EMBASE, Cochrane Library, MathSciNet, ACM Digital Library, HMIC, Econlit and Global Health databases to identify literature for this review. We described papers meeting the inclusion criteria using descriptive statistics and narrative synthesis, and made comparisons between the identified SDM and ABM literature. Results We identified 28 papers using SDM methods and 11 papers using ABM methods, one of which used hybrid SDM-ABM to simulate health system behaviour. The majority of SDM, ABM and hybrid modelling papers simulated health systems based in high income countries. Emergency and acute care, and elderly care and long-term care services were the most frequently simulated health system settings, modelling the impact of health policies and interventions such as those targeting stretched and under resourced healthcare services, patient length of stay in healthcare facilities and undesirable patient outcomes. Conclusions Future work should now turn to modelling health systems in low- and middle-income countries to aid our understanding of health system functioning in these settings and allow stakeholders and researchers to assess the impact of policies or interventions before implementation. Hybrid modelling of health systems is still relatively novel but with increasing software developments and a growing demand to account for both complex system feedback and heterogeneous behaviour exhibited by those who access or deliver healthcare, we expect a boost in their use to model health systems.
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页数:24
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