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#' Retrieves Cervical Cancer Screening Data
#'
#' `get_cervical_screened()` retrieves cervical cancer screening data for a
#' specified period from the KHIS API server.
#'
#' @inheritParams get_analytics_formatted
#'
#' @return A tibble containing cervical cancer screening data with the following columns:
#'
#' * country - Name of the country.
#' * county - Name of the county. Optional if the level is `county`, `subcounty`, `ward` or `facility`.
#' * subcounty - Name of the subcounty. Optional if the level is `subcounty`, `ward` or `facility`.
#' * ward - Name of the ward. Optional if the level is `ward` or `facility`.
#' * facility - Name of the health facility. Optional if the level `facility`.
#' * period - The month and year of the data.
#' * fiscal_year- The financial year of the report(July-June Cycle).
#' * year - The calendar year of the report.
#' * month - The month name of the report.
#' * category - The age group category of the report (<25, 25-49, 50+).
#' * category2 - Additional category if available.
#' * element - The data element (HPV, VIA or Pap Smear).
#' * source - The source report (MOH 711 or MOH 745).
#' * value - The number reported.
#'
#' @export
#'
#' @examplesIf khis_has_cred()
#' # Download data from February 2023 to current date
#' screened <- get_cervical_screened(start_date = '2023-02-01')
#' screened
get_cervical_screened <- function(start_date,
end_date = NULL,
level =c('country', 'county', 'subcounty', 'ward', 'facility'),
organisations = NULL,
...) {
## Cervical Cancer Screening
# VR7vdS7P0Gb = Number of clients who received HPV Test
# gQro1y7Rsbq = Number of clients who received Pap smear
# rFtB3keaVWm = Number of clients who received VIA or VIA/ VILI Screening
# ommbnTANmGo = MOH 711 Clients screened for Cervical Cancer using HPV test
# kl4RvWOGb7x = MOH 711 Clients screened using Pap smear
# G9COyloYLYa = MOH 711 Clients screened using VIA /VILI /HPV VILI / HPV
cacx_screening_ids <- c(
'VR7vdS7P0Gb', 'gQro1y7Rsbq', 'rFtB3keaVWm',
'ommbnTANmGo', 'kl4RvWOGb7x', 'G9COyloYLYa'
)
data <- .get_cervical_data(cacx_screening_ids,
start_date,
end_date = end_date,
level = level,
organisations = organisations,
...) %>%
mutate(
element = case_when(
str_detect(element, 'VIA') ~ 'VIA',
str_detect(element, 'HPV') ~ 'HPV',
str_detect(element, 'Pap') ~'Pap Smear',
.ptype = factor(levels = c('VIA', 'HPV', 'Pap Smear'))
)
)
return(data)
}
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