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HelpAge International, VALID International, and Brixton Health, with financial assistance from the Humanitarian Innovation Fund (HIF), have developed a Rapid Assessment Method for Older People (RAM-OP) that provides accurate and reliable estimates of the needs of older people. The method uses simple procedures, in a short time frame (i.e. about two weeks including training, data collection, data entry, and data analysis), and at considerably lower cost than other methods. The RAM-OP method is based on the following principles:
Use of a familiar “household survey” design employing a two-stage cluster sample design optimised to allow the use of a small primary sample (m ≥ 16 clusters) and a small overall (n ≥ 192) sample.
Assessment of multiple dimensions of need in older people (including prevalence of global, moderate and severe acute malnutrition) using, whenever possible, standard and well-tested indicators and question sets.
Data analysis performed using modern computer-intensive methods to allow estimates of indicator levels to be made with useful precision using a small sample size.
You can install {oldr} from CRAN with:
install.packages("oldr")You can install the latest development version of {oldr}
from the RapidSurveys R Universe with:
install.packages(
"oldr", repos = c("https://rapidsurveys.r-universe.dev")
)or from GitHub with:
if (!require(pak)) install.packages("pak")
pak::pak("rapidsurveys/oldr")This package contains functions that support in the data processing, analysis, and visualisation of RAM-OP survey datasets collected using the standard RAM-OP survey questionnaire.
The figure below illustrates the RAM-OP workflow and indicates which
functions in the {oldr} package support which particular
step in the process.
For a more detailed description of the RAM-OP survey, read the RAM-OP manual.
If you use the {oldr} package in your work, please cite
using the suggested citation provided by a call to the
citation function as follows:
citation("oldr")
#> To cite oldr in publications use:
#>
#> Mark Myatt, Ernest Guevarra, Pascale Fritsch, Katja Siling (2025).
#> _oldr: An Implementation of Rapid Assessment Method for Older
#> People_. doi:10.5281/zenodo.7505731
#> <https://doi.org/10.5281/zenodo.7505731>, R package version 0.2.3,
#> <https://rapidsurveys.io/oldr/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {oldr: An Implementation of Rapid Assessment Method for Older People},
#> author = {{Mark Myatt} and {Ernest Guevarra} and {Pascale Fritsch} and {Katja Siling}},
#> year = {2025},
#> note = {R package version 0.2.3},
#> url = {https://rapidsurveys.io/oldr/},
#> doi = {10.5281/zenodo.7505731},
#> }Feedback, bug reports, and feature requests are welcome; file issues or seek support here. If you would like to contribute to the package, please see our contributing guidelines.
This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.