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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# Assessing Coverage of Community-based Management of Acute Malnutrition
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[](https://zenodo.org/badge/latestdoi/173656565)
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One of the most important elements behind the success of the Community-Based Management of Acute Malnutrition (CMAM) model of service delivery is its proven capacity for achieving and sustaining high levels of coverage over wide areas.
Two-stage cluster sampled surveys have been used to estimate the coverage of selective feeding programs. This approach suffers from several important limitations. A new survey method for estimating the coverage of selective feeding programs. This survey method, known as the Centric Systematic Area Sampling (CSAS) method, uses a combination of stratified and systematic area sampling and active and adaptive case-finding. The CSAS survey method provides a rich set of information about program coverage. In particular, provides a ‘headline’ estimate of overall program coverage, a map of the spatial distribution of program coverage, and a ranked list of program-specific barriers to service access and uptake. The CSAS method is, however, resource intensive. This has led to a tendency for it to be used for program evaluation rather than for day-to-day program planning and program monitoring purposes The results of CSAS surveys have, therefore, often been able to explain why a particular program failed to achieve a satisfactory level and spatial pattern of coverage, but this information has tended to arrive too late in the program cycle to institute effective remedial action.
The CMAM model of service delivery is now being adopted in developmental and post-emergency settings. Programs in these settings tend to suffer from considerable resource scarcity compared to emergency-response programs implemented by non-governmental organisations (NGOs). There exists, therefore, a need for low-resource methods capable of evaluating program coverage, identifying barriers to service access and uptake, and identifying appropriate actions for improving access and program coverage. This document describes two such methods – the semi-quantitative evaluation of access and coverage (SQUEAC) method and the simplified Lot Quality Assurance Sampling evaluation of access and coverage (SLEAC) method – and how they can be used to investigate and improve three aspects of CMAM programs: effectiveness, coverage, and ability to meet need.
## About this repository
This repository contains the `Rmarkdown` script and related materials used to produce the slide deck for the Assessing Coverage of Community-based Management of Acute Malnutrition presentation for the Nutrition in Emergencies (NiE) Module, [MSc Nutrition for Global Health](https://www.lshtm.ac.uk/study/courses/masters-degrees/nutrition-global-health), [London School of Hygiene and Tropical Medicine](https://www.lshtm.ac.uk/) on the 1st of March 2023.
## The slide deck
The slide deck was created using [Yihui Xie's `{xaringan}` package](https://github.com/yihui/xaringan) and Garrick Aden-Buie's ninja-themed presentation Rmarkdown template from his [`{xaringanthemer}` package](https://github.com/gadenbuie/xaringanthemer).
The **Rmarkdown** document is named `index.Rmd`. The **Rmarkdown** document relies on additional resources to produce the slide deck. These are:
* `xaringan-themer.css` - this is the CSS that comes included when using the [`{xaringanthemer}` package](https://github.com/gadenbuie/xaringanthemer)'s ninja-themed presentation template. This CSS file is dynamically re-generated using new style specifications used in the **Rmarkdown** document
* `libs` folder - this directory contains javascript libraries used by [`{xaringanthemer}` package](https://github.com/gadenbuie/xaringanthemer) to generate the HTML slides
* `figures` folder - contains graphics used in the slides
These abovementioned four files are what is needed to reproduce the slide deck using the following command in R:
```{r render, echo = TRUE, eval = FALSE}
rmarkdown::render(input = "index.Rmd", output_file = "index.html")
```
## Author
[Ernest Guevarra](https://ernest.guevarra.io)
## License
This work is licensed under a [GNU General Public License 3 (GPL-3)](https://github.com/ernestguevarra/coverageCMAM/blob/master/LICENSE.md).