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Record W6925822350 · doi:10.21223/p3/m3zmkr

Dataset for: MAMA SASHA Cross-sectional Endline Household Survey

2017· dataset· en· W6925822350 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Potato Center · 2017
Typedataset
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodFood securityGeneral partnershipGovernment (linguistics)AgricultureIntervention (counseling)KenyaSustainabilityPublic healthConsumption (sociology)

Abstract

fetched live from OpenAlex

A step toward improving the supply of nutrient-rich foods in sub-Saharan Africa (SSA) was the Sweetpotato Action for Security and Health in Africa (SASHA), a five-year action research project led by the International Potato Centre (known by its Spanish acronym, CIP) designed to improve the food security and livelihoods of poor families by addressing the bottlenecks preventing the full exploitation of sweetpotato’s potential. The agriculture-health linkages proof-of-concept project in Western Province of Kenya, known as Mama SASHA, was one of the SASHA’s proof-of-concept projects. It was implemented in partnership with PATH, a leading non-governmental international organization in health, the Kenyan Agricultural Research Institute (KARI), local agriculture and health government stakeholders in Western Province, and two local implementing NGO agriculture partners, i.e. the Community Research in Environment and Development Initiatives (CREADIS) and the Appropriate Rural Development Agriculture Programme (ARDAP). The Mama SASHA project was set in Bungoma and Busia counties in Kenya’s Western Province. The overall project goal was to improve the health status of pregnant women and the nutritional status of children up to two years through an integrated OFSP and health service-delivery strategy. The specific objectives included: 1. To understand the costs and benefits of linking an integrated OFSP-focused agricultural-nutritional intervention to a health service-delivery system serving pregnant women, and to delineate the intensity of nutrition intervention required to achieve impact on newborns as well as their mothers. 2. To strengthen aspects of existing information, education, and communication materials and methods for supporting sustainable OFSP production and consumption at both the health facility and community levels; i.e. to improve the knowledge and practices of health workers, agricultural extension agents, and community members on OFSP and vitamin A rich foods. 3. To improve the evidence base on impacts (on sweetpotato production, nutrition, women and child health status, and use of health services) and on sustainability of a delivery system for high-yielding OFSP through community- and facility-based health services, in conjunction with agricultural partners. A quasi-experimental evaluation design measured the effectiveness of the Mama SASHA project between households and individuals in the intervention and control communities. Project activities were implemented in four intervention and four control health facilities / dispensaries in Bungoma and Busia counties in Western Kenya. Each facility served approximately 10-15 villages. Communities were approximately 30-50 km apart. The four intervention sites receive the full range of nutrition education and communication, outreach, and health services, along with the vouchers. Mama SASHA was integrated into USAID/Kenya AIDS, Population and Health Integrated Assistance Program (APHIA II; then APHIA Plus), which was responsible for improving health services for pregnant women and mother-child pairs across the province. Thus, the four control group facilities offered the standard APHIAplus training and sensitization on Infant and Young Child Nutrition services, but without the pregnant women’s groups, vouchers, or support for the production of OFSP. The two Kenyan agricultural NGOs, ARDAP and CREADIS, each supported the communities affiliated with two health facilities. Two evaluation methods measured the program benefits over the course of the project. The first was through a two-round cross-sectional household survey of pregnant women and mother-child (under 2 years of age) pairs conducted in four intervention and four control areas. The second was a complementary nested longitudinal cohort study on an initial sub-set of 505 pregnant women and their subsequent offspring in intervention and comparison communities. This dataset focuses on the cross-sectional endline survey’s mother-child pairs at endline. The endline household survey was designed and implemented from March to May 2014 by CIP, PATH, Emory University, the University of Washington, and the University of Toronto, following the 31 months of implementation (from April 2011 through December 2013). Additional evaluation components summarized in this report include operations research (OR) to assess the acceptability and feasibility of the Mama SASHA project during the pilot phase in 2010 and again during implementation of the project and a cost study was conducted alongside project monitoring and evaluation in order to assess the affordability and sustainability of an integrated agriculture and health project. The databases for these additional components will be provided in a separate metadata file. Methods: Study Site: The cross-sectional endline survey was conducted in from March 2014 through May 2014 in Bungoma and Busia counties of western Kenya. The study sites consist of sub-counties in the Busia and Bungoma counties that were not already participating in the CIP DONATA project, a related agricultural project that promoted OFSP agriculture production in Western Kenya. Target Populations: The study targeted three populations, i.e. pregnant women, children aged 6-23 months and their mothers/caregivers. Inclusion criteria: Eligible participants included females 17-45 years of age, residing in the study villages and who are either the biological mother or primary caretaker of a child 6-23 months or who have a confirmed pregnancy (i.e. by health worker). Exclusion criteria: women who are younger than 17 or older than 45 years of age and who are not in their first or second trimester of pregnancy or the primary caretaker of a child 6-23 months of age are not eligible. Sample size: The sample size calculation was made to allow for comparison of proportions of VAD among children 6-23 months within intervention and control (i.e. endline versus baseline) and comparisons across intervention and control at the endline survey. The sample size of 1,090 mother-child pairs per provided 90% power to detect a statistically significant 31% decrease in VAD prevalence in the intervention group children compared to the control group given a baseline VAD prevalence of 18.2%. For pregnant women interviews, we estimated that we would require 85 pregnant women per intervention and control to observe significant increases in consumption of vitamin A rich food frequency score. The survey included interview modules for household characteristics, household food security and dietary diversity, nutrition and health knowledge, attitudes and practices, agriculture and project exposure and uptake. In addition, weight and height were collected for both children and their mothers. Dried blood spot samples were obtained from the children to determine levels of retinol binding protein (an indicator of vitamin A status) and degree of inflammation (C-Reactive protein).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.447
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it