Identifying the active ingredients in payment for performance programmes using system dynamics modelling
Rachel Cassidy, Agnes Rwashana Semwanga, Peter Binyaruka, Karl Blanchet, Neha S. Singh, John Maiba, Josephine Borghi

TL;DR
This study uses system dynamics modeling to understand how payment for performance programs in Tanzania affect maternal and child health outcomes.
Contribution
The study introduces a system dynamics model to identify key factors influencing the success of payment for performance programs in healthcare.
Findings
Increased drug availability and supervision enhance health worker motivation and service quality.
Delays in payment reduce provider trust and motivation, weakening program effectiveness.
Contextual factors like limited medication access and low community awareness reduce program impact.
Abstract
Payment for performance (P4P) is not a uniform intervention, with programme effect dependent on several interconnected factors. In this study, a system dynamics model was developed to explore the pathways to improved outcomes and how changes in the design, implementation and context of a P4P programme affected maternal and child health (MCH) service delivery outcomes in Tanzania. A previously developed causal loop diagram of the programme effects was used to inform model development, with further data sources (including an impact evaluation of programme, health surveys, stakeholder feedback and relevant literature) used to build the model. A number of pathways were identified to improved services under P4P, with increased availability of drugs underpinning the content of care outcome (intermittent preventative treatment during ANC), which together with increased supervision, enhanced…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Decision Making
