odk2openVA {CrossVA}R Documentation

Map VA records to InterVA5 & InSilico (with option data.type = "WHO2016").

Description

odk2openVA transforms data collected with the 2016 WHO VA instrument or the 2014 WHO VA instrument into a format that can be used with the InterVA5 and InSilicoVA alogrithms for coding cause of death. It is a wrapper for functions that handle specific versions of the 2016 WHO VA instrument – namely, 1.4.1 and 1.5.1 – as well as the 2014 WHO VA instrument.

Usage

odk2openVA(odk, id_col = "meta.instanceID")

Arguments

odk

A dataframe, obtained from reading an ODK Briefcase export of records collected with the WHO questionnaire.

id_col

A character string of the column name (in odk) with the unique ID for each death.

Details

This is a wrapper function that tries to determint the type of WHO VA instrument used to collect the data. If the input (i.e., the odk export) includes a column containing the string "ID1A110" (or "id1a110"), then this function assumes the data were collected using the 2014 WHO VA instrument. If the input (i.e., the odk export) contains the string "age_neonate_hours" and does not contain the string "ID1A110" (or "id1a110"), then the function assumes the questionnaire version is 1.4.1 from the 2016 instrument. If neither condition is met, then the function assumes the data were collected with version 1.5.1 of the 2016 WHO VA instrument.

By default, this function assumes the data column named 'meta.instanceID' contains the unique ID for each record. If this column is not found, then the ID is set to 1:nrow(odk). Alternatively, the user may specify the column name containing the ID by passing a string to the id_col parameter.

Examples

## Example with 2016 WHO VA instrument version 1.5.1
record_f_name151 <- system.file("sample", "who151_odk_export.csv", package = "CrossVA")
records151 <- read.csv(record_f_name151, stringsAsFactors = FALSE)
output151 <- odk2openVA(records151)

## Example with 2016 WHO VA instrument version 1.4.1
record_f_name141 <- system.file("sample", "who141_odk_export.csv", package = "CrossVA")
records141 <- read.csv(record_f_name141, stringsAsFactors = FALSE)
output141 <- odk2openVA(records141)


[Package CrossVA version 0.10.0 Index]