Related Experiment Video
Updated: May 7, 2026
09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Evaluating the scale-up for maternal and child survival: a common framework
Jennifer Bryce1, Cesar G Victora, Ties Boerma
1Institute for International Programs, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, 625 North Wolfe Street, Baltimore, USA 20205.
International Health
|September 17, 2013
Summary
A new evaluation framework is presented to guide efforts in reducing maternal and child mortality, crucial for achieving the Millennium Development Goals (MDGs) 4 and 5. This framework aids in collecting and analyzing evidence for effective maternal and child survival programs.
Area of Science:
- Global Health
- Public Health Policy
- Program Evaluation
Background:
- Millennium Development Goals (MDGs) 4 and 5 aim to reduce child mortality and improve maternal health.
- Approaching the 2015 deadline necessitates robust evaluation of maternal and child survival programs.
- A unified approach to evidence collection and analysis is critical for program effectiveness.
Purpose of the Study:
- To present a comprehensive evaluation framework for scaling up maternal and child survival interventions.
- To standardize the collection, analysis, and synthesis of evidence for MDGs 4 and 5.
- To address uncertainties and identify gaps in current evaluation practices.
Main Methods:
- Development of a conceptual model for scaling up interventions towards MDGs 4 and 5.
- Identification and prioritization of key indicators for maternal and child survival.
- Guidelines for documenting program implementation and contextual factors.
- Considerations for evaluating the scale-up process.
Main Results:
- A four-part framework is proposed, integrating conceptual models, indicators, documentation guidelines, and design considerations.
- The framework aims to standardize evaluation across diverse maternal and child survival programs.
- Key areas of uncertainty and research gaps are highlighted.
Conclusions:
- The proposed framework provides a structured approach to evaluating maternal and child survival programs.
- Standardized evaluation is essential for maximizing the impact of resources towards MDGs 4 and 5.
- Further research is needed to address identified gaps in program evaluation and implementation.
Related Concept Videos
01:14Scale-Up Processes
The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
01:26Methods Of Healthcare Delivery System
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...
00:57Population Growth
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
01:20Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
01:26Exponential Equations for Modeling Growth
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is the relative...
01:21Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...