Evaluation of programs to improve complementary feeding in infants and young children
Datos Bibliográficos
| ID | 15536985 |
|---|---|
| Autores | Edward A Frongillo (0000-0002-8265-9815, University of South Carolina, autor de correspondencia) |
| Año | 2017 |
| Volumen | 13 |
| Número | S2 |
| Fecha de publicación | 2017-10-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Maternal and Child Nutrition (JOURNAL) |
| Identificadores de la revista | ISSN: 1740-8695 • E-ISSN: 1740-8709 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/mcn.12436 |
| PMID | 29032620 |
| OpenAlex | W2761258601 |
| Idioma | EN |
| Citas recibidas | 4 |
| Referencias citadas | 25 |
Evaluation of complementary feeding programs is needed to enhance knowledge on what works, to document responsible use of resources, and for advocacy. Evaluation is done during program conceptualization and design, implementation, and determination of effectiveness. This paper explains the role of evaluation in the advancement of complementary feeding programs, presenting concepts and methods and illustrating them through examples. Planning and investments for evaluations should occur from the beginning of the project life cycle. Essential to evaluation is articulation of a program theory on how change would occur and what program actions are required for change. Analysis of program impact pathways makes explicit the dynamic connections in the program theory and accounts for contextual factors that could influence program effectiveness. Evaluating implementation functioning is done through addressing questions about needs, coverage, provision, and utilization using information obtained from process evaluation, operations research, and monitoring. Evaluating effectiveness is done through assessing impact, efficiency, coverage, process, and causality. Plausibility designs ask whether the program seemed to have an effect above and beyond external influences, often using a nonrandomized control group and baseline and end line measures. Probability designs ask whether there was an effect using a randomized control group. Evaluations may not be able to use randomization, particularly for programs implemented at a large scale. Plausibility designs, innovative designs, or innovative combinations of designs sometimes are best able to provide useful information. Further work is needed to develop practical designs for evaluation of large-scale country programs on complementary feeding
Ask price · Baseline (sea · Conceptualization · Control (management · Flexibility (engineering · Management science · Process (computing · Process management · Program Design Language · Program evaluation · Risk analysis (engineering · Scale (ratio · Software engineering · Theory of change · Child Nutrition and Water Access · Computer Science · Food Security and Health in Diverse Populations · Medicine · Poverty, Education, and Child Welfare · Artificial Intelligence
The evaluation of Suchana, a large-scale development program to prevent chronic undernutrition in north-eastern Bangladesh
Evaluation of programs to improve complementary feeding in infants and young children
M-Sakhi – Mobile health solutions to help community providers promote maternal and infant nutrition and health
Investigating group-based classes (‘weaning workshops’) to support complementary infant feeding in Irish primary care settings
Evaluation designs for adequacy, plausibility and probability of public health programme performance and impact
Evidence-based interventions for improvement of maternal and child nutrition
Maternal and child undernutrition and overweight in low-income and middle-income countries
Evaluation of programs to improve complementary feeding in infants and young children
Understanding pathways for scaling up health services through the lens of complex adaptive systems
Incorporating elements of social franchising in government health services improves the quality of infant and young child feeding counselling services at commune health centres in Vietnam
Constructing maternal knowledge frameworks. How mothers conceptualize complementary feeding
Evaluation
| Obras citantes distintas | 4 |
|---|---|
| Citas por año | 0,44 |
| Intervalo de citas | 2017 - 2024 (8) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |