Estimating economies of scale and learning-by-doing effects in a health systems strengthening intervention
Bollinger, L. A.; Bietsch, K.
Show abstract
It can be challenging to evaluate efficiencies for interventions strengthening health systems, for a variety of reasons. As part of a program review of The Challenge Initiative (TCI) that took place in 2020, we explored whether economies of scale and learning-by-doing effects existed for the health systems strengthening portion of the project, utilizing audited expenditure data and validated reported outcomes. TCI is a project that partnered with local governments in low- and middle-income countries to deliver interventions for family planning; it is relatively unique in terms of both its activities and in how its expenditures and outcomes were tracked. Using TCI data, we estimated a cost function, evaluating economies of scale using as output measures both the number of geographies that joined the project over time and the population of women of reproductive age in those geographies over time, allowing for complex effects by including levels, squared and cubic formulations of the output variables. We also evaluated whether learning-by-doing effects obtained by examining coefficients of time-related variables. Results suggested that while initially there were diseconomies of scale when output was measured using number of geographies, the TCI program began to experience economies of scale as the number expanded, with significant economies of scale experienced beginning at the mean number of geographies. When output was measured using population of women of reproductive age, economies of scale existed throughout. We did not find econometric evidence of learning-by-doing effects.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Analysis of the Health Economics Portfolio Funded by the National Institutes of Health in Response to Published Guidance 93%
- Cost savings in male circumcision post-operative care continuum in rural and urban South Africa: Evidence on the importance of initial counselling and daily SMS 93%
- How to attract and retain health workers in rural areas of a fragile state: findings from a labour market survey in Guinea 93%
Similar papers in this journal
- ‘Leading from the front’ implementation strategies increase the success of influenza vaccination drives among healthcare workers: A reanalysis of Systematic Review evidence using Intervention Component Analysis (ICA) and Qualitative Comparative Analysis (QCA) 93%
- Reduction in initiations of HIV treatment in South Africa during the COVID pandemic 91%
- Revisiting the use and effectiveness of patient-held records in rural Malawi 90%
Similar papers in this journal
- Examining Health Sector Stakeholder Perceptions on the Efficiency of County Health Systems in Kenya 94%
- Examining National Health Insurance Fund Members’ preferences and trade-offs for the attributes of contracted outpatient facilities in Kenya: a discrete choice experiment 93%
- Subnational tailoring of malaria interventions for strategic planning and prioritization: experience and perspectives of five malaria programs 93%
Similar papers in this journal
- How to incentivise doctor attendance in Bangladesh: a latent class analysis of a discrete choice experiment 94%
- Modelling the cost-effectiveness of essential and advanced critical care for COVID-19 patients in Kenya 92%
- Lessons Learned From COVID-19 Modelling Efforts For Policy Decision-Making In Lower- And Middle-Income Countries 92%
Similar papers in this journal
- Household Hardships during the COVID-19 Pandemic: Examining Household Vulnerability and Responses to Pandemic Related Shocks in Eastern Ethiopia 90%
- Using Generalized Structured Additive Regression Models to determine factors associated with and clusters for COVID-19 hospital deaths in South Africa 90%
- Evidence of Resiliency in Maternal Health Services and Outcomes in Kono District, Sierra Leone during the COVID-19 Pandemic: An Observational Study 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.