Cargando…

Understanding the maternal and child health system response to payment for performance in Tanzania using a causal loop diagram approach

Payment for performance (P4P) has been employed in low and middle-income (LMIC) countries to improve quality and coverage of maternal and child health (MCH) services. However, there is a lack of consensus on how P4P affects health systems. There is a need to evaluate P4P effects on health systems us...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cassidy, Rachel, Tomoaia-Cotisel, Andrada, Semwanga, Agnes Rwashana, Binyaruka, Peter, Chalabi, Zaid, Blanchet, Karl, Singh, Neha S., Maiba, John, Borghi, Josephine
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Pergamon 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434440/ https://www.ncbi.nlm.nih.gov/pubmed/34343830 http://dx.doi.org/10.1016/j.socscimed.2021.114277

Ejemplares similares

How to do (or not to do)…using causal loop diagrams for health system research in low and middle-income settings
por: Cassidy, Rachel, et al.
Publicado: (2022)

Mathematical modelling for health systems research: a systematic review of system dynamics and agent-based models
por: Cassidy, Rachel, et al.
Publicado: (2019)

Understanding causal pathways within health systems policy evaluation through mediation analysis: an application to payment for performance (P4P) in Tanzania
por: Anselmi, Laura, et al.
Publicado: (2017)

Who benefits from increased service utilisation? Examining the distributional effects of payment for performance in Tanzania
por: Binyaruka, Peter, et al.
Publicado: (2018)

Does payment for performance increase performance inequalities across health providers? A case study of Tanzania
por: Binyaruka, Peter, et al.
Publicado: (2018)

Resilience in childhood vaccination: analysing delivery system responses to shocks in Lebanon
por: Ismail, Sharif A, et al.
Publicado: (2023)

Long-term effects of payment for performance on maternal and child health outcomes: evidence from Tanzania
por: Borghi, Josephine, et al.
Publicado: (2021)

Developing the improved Community Health Fund in Tanzania: was it a fair process?
por: Binyaruka, Peter, et al.
Publicado: (2023)

Applying a system dynamics modelling approach to explore policy options for improving neonatal health in Uganda
por: Semwanga, Agnes Rwashana, et al.
Publicado: (2016)

Validity of parental recalls to estimate vaccination coverage: evidence from Tanzania
por: Binyaruka, Peter, et al.
Publicado: (2018)

Feasibility and utility of Point-of-Care electronic clinical data capture in Uganda’s healthcare system: a qualitative study
por: Nabukenya, Josephine, et al.
Publicado: (2023)

An equity analysis on the household costs of accessing and utilising maternal and child health care services in Tanzania
por: Binyaruka, Peter, et al.
Publicado: (2022)

Supply-side factors influencing demand for facility-based delivery in Tanzania: a multilevel analysis
por: Binyaruka, Peter, et al.
Publicado: (2023)

Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda
por: Rwashana, Agnes Semwanga, et al.
Publicado: (2014)

Supply-side factors influencing informal payment for healthcare services in Tanzania
por: Binyaruka, Peter, et al.
Publicado: (2021)

The Dynamics of Concussion: Mapping Pathophysiology, Persistence, and Recovery With Causal-Loop Diagramming
por: Kenzie, Erin S., et al.
Publicado: (2018)

Understanding the complex systems of climate change and NCDs: A Causal Loop Diagram
por: Hunter, R, et al.
Publicado: (2023)

Re-aligning Incentives to Address Informal Payments in Tanzania Public Health Facilities: A Discrete Choice Experiment
por: Binyaruka, Peter, et al.
Publicado: (2022)

Causal diagrams in systems epidemiology
por: Joffe, Michael, et al.
Publicado: (2012)

Causal Diagrams: Pitfalls and Tips
por: Suzuki, Etsuji, et al.
Publicado: (2020)

Utilizing Causal Loop Diagramming to Explore a Research and Evaluation Capacity Building Partnership
por: Tobin, Rochelle, et al.
Publicado: (2022)

Using Causal Loop Diagrams (CLDs) to inform the development of Directed Acyclic Graphs (DAGs)
por: Avila-Palencia, I
Publicado: (2023)

Square peg in a round hole: re-thinking our approach to evaluating health system strengthening in low-income and middle-income countries
por: Borghi, Josephine, et al.
Publicado: (2017)

Effect of Paying for Performance on Utilisation, Quality, and User Costs of Health Services in Tanzania: A Controlled Before and After Study
por: Binyaruka, Peter, et al.
Publicado: (2015)

Quantifying a Systems Map: Network Analysis of a Childhood Obesity Causal Loop Diagram
por: McGlashan, Jaimie, et al.
Publicado: (2016)

An analysis of the social distancing effects on global economy and international finance using causal loop diagrams
por: Moradi, Amir
Publicado: (2022)

Individual Workplace Well-Being Captured into a Literature- and Stakeholders-Based Causal Loop Diagram
por: Niks, Irene M. W., et al.
Publicado: (2022)

A system science perspective on burn-out: development of an expert-based causal loop diagram
por: Barsties, Lisa S., et al.
Publicado: (2023)

Causal diagrams and the cross-sectional study
por: Shahar, Eyal, et al.
Publicado: (2013)

Mobile Phone-based Intervention to promote un-interrupted HIV treatment during the COVID-19 pandemic
por: Nakanjako, Damalie, et al.
Publicado: (2022)

Pay for performance: an analysis of the context of implementation in a pilot project in Tanzania
por: Olafsdottir, Anna Elisabet, et al.
Publicado: (2014)

Viewing the global health system as a complex adaptive system – implications for research and practice
por: Borghi, Josephine, et al.
Publicado: (2022)

Health-related quality of life in cancer immunotherapy: a systematic perspective, using causal loop diagrams
por: Beaulieu, Elizabeth, et al.
Publicado: (2022)

5 year public health impacts of an urban greenway, Belfast, Northern Ireland: Causal Loop Diagram
por: Hunter, R, et al.
Publicado: (2023)

Using network analysis to identify leverage points based on causal loop diagrams leads to false inference
por: Crielaard, Loes, et al.
Publicado: (2023)

Causal diagrams, the placebo effect, and the expectation effect
por: Shahar, Eyal, et al.
Publicado: (2013)

Causal diagrams, information bias, and thought bias
por: Shahar, Eyal, et al.
Publicado: (2010)

Using systems thinking and causal loop diagrams to identify cascading climate change impacts on bioenergy supply systems
por: Groundstroem, Fanny, et al.
Publicado: (2021)

Critical factors that affect the functioning of a research and evaluation capacity building partnership: A causal loop diagram
por: Tobin, Rochelle, et al.
Publicado: (2022)

Understanding obesity‐related behaviors in youth from a systems dynamics perspective: The use of causal loop diagrams
por: Waterlander, Wilma E., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_jrehtavcjl50p18gvu3g8mv0af