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Rename datazone to datazone2011 #744

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Jul 17, 2023
Merged

Rename datazone to datazone2011 #744

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6123975
Rename `datazone` to `datazone2011`
Jennit07 Jul 17, 2023
774f0f1
Merge branch 'master' into rename_datazone
Moohan Jul 17, 2023
17b94a2
[check-spelling] Update metadata
Moohan Jul 17, 2023
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2 changes: 2 additions & 0 deletions .github/actions/spelling/expect.txt
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Expand Up @@ -88,6 +88,7 @@ hms
homecare
hscp
hscpnames
IDPC
infyyear
ipdc
itle
Expand All @@ -100,6 +101,7 @@ keydate
keyring
keytime
keytimex
kis
los
ltc
ltcs
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2 changes: 1 addition & 1 deletion R/fill_geographies.R
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Expand Up @@ -14,7 +14,7 @@
"hbrescode",
"hscp",
"lca",
"datazone",
"datazone2011",
"hbpraccode",
"hbtreatcode",
"gpprac"
Expand Down Expand Up @@ -161,13 +161,13 @@
#'
#' @return data with matched HSCP and LCA codes
cascade_geographies <- function(data) {
# TODO rework this function into a series of smaller functions which operate on vectors

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# e.g. cascade_hscp_lca <- function(hscp, lca) {...}
# Would take HSCP and populate any missing LCA using it
data <- data %>%
dplyr::mutate(
# If we can, 'cascade' the geographies upwards
# i.e. if they have an LCA use this to fill in HSCP2018 and so on for hbrescode

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# Codes are correct as at August 2018
lca = dplyr::case_when(
!is_missing(lca) ~ lca,
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2 changes: 1 addition & 1 deletion R/process_extract_acute.R
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Expand Up @@ -39,9 +39,9 @@
)
) %>%
# Recode GP practice into 5 digit number
# We assume that if it starts with a letter it's an English practice and so recode to 99995.

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dplyr::mutate(gpprac = convert_eng_gpprac_to_dummy(.data$gpprac)) %>%
# Calculate the total length of stay (for the entire episode, not just within the financial year).

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dplyr::mutate(
stay = calculate_stay(year, .data$record_keydate1, .data$record_keydate2),
# create and populate SMRType
Expand All @@ -49,8 +49,8 @@
) %>%
# Apply new costs for C3 specialty, these are taken from the 2017/18 file
fix_c3_costs(year) %>%
# initialise monthly cost/beddays variables in a separate data frame for matching

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convert_monthly_rows_to_vars(.data$costmonthnum, .data$cost_total_net, .data$yearstay) %>%

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# add yearstay and cost_total_net variables
dplyr::mutate(
yearstay = rowSums(dplyr::across(tidyselect::ends_with("_beddays"))),
Expand Down Expand Up @@ -79,7 +79,7 @@
"hbrescode",
"lca",
"hscp",
"datazone",
"datazone2011",
"location",
"hbtreatcode",
"yearstay",
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2 changes: 1 addition & 1 deletion R/process_extract_district_nursing.R
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Expand Up @@ -13,7 +13,7 @@
#' @return the final data as a [tibble][tibble::tibble-package].
#' @export
#' @family process extracts
process_extract_district_nursing <- function(

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data,
year,
costs = read_file(get_dn_costs_path()),
Expand Down Expand Up @@ -107,7 +107,7 @@
"gender",
"gpprac",
"postcode",
"datazone",
"datazone2011",
"lca",
"hscp",
"hbrescode",
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2 changes: 1 addition & 1 deletion R/process_extract_gp_ooh.R
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Expand Up @@ -13,9 +13,9 @@
#' @export
#' @family process extracts
process_extract_gp_ooh <- function(year, data_list, write_to_disk = TRUE) {
diagnosis_extract <- process_extract_ooh_diagnosis(data_list[["diagnosis"]], year)

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outcomes_extract <- process_extract_ooh_outcomes(data_list[["outcomes"]], year)

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consultations_extract <- process_extract_ooh_consultations(data_list[["consultations"]], year)

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# Join data ---------------------------------
Expand Down Expand Up @@ -111,7 +111,7 @@
"gpprac",
"postcode",
"hbrescode",
"datazone",
"datazone2011",
"hscp",
"hbtreatcode",
"location",
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2 changes: 1 addition & 1 deletion R/process_extract_mental_health.R
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Expand Up @@ -85,7 +85,7 @@ process_extract_mental_health <- function(data, year, write_to_disk = TRUE) {
"hbrescode",
"lca",
"hscp",
"datazone",
"datazone2011",
"location",
"hbtreatcode",
"stay",
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2 changes: 1 addition & 1 deletion R/read_extract_acute.R
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Expand Up @@ -107,7 +107,7 @@ read_extract_acute <- function(year, file_path = get_boxi_extract_path(year = ye
disch = "Discharge Type Code",
falls_adm = "Falls Related Admission (01)",
lca = "Geo Council Area Code",
datazone = "Geo Data Zone 2011",
datazone2011 = "Geo Data Zone 2011",
postcode = "Geo Postcode [C]",
hscp = "Geo HSCP of Residence Code - current",
conc = "Lead Consultant/HCP Code",
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2 changes: 1 addition & 1 deletion R/read_extract_district_nursing.R
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Expand Up @@ -43,7 +43,7 @@ read_extract_district_nursing <- function(
lca = "Patient Council Area Code (Contact)",
postcode = "Patient Postcode [C] (Contact)",
gpprac = "Practice Code (Contact)",
datazone = "Patient Data Zone 2011 (Contact)",
datazone2011 = "Patient Data Zone 2011 (Contact)",
hbpraccode = "Practice NHS Board Code 9 (Contact)",
hbtreatcode = "Treatment NHS Board Code 9",
chi = "UPI Number [C]",
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2 changes: 1 addition & 1 deletion R/read_extract_mental_health.R
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Expand Up @@ -83,7 +83,7 @@ read_extract_mental_health <- function(
hbrescode = "NHS Board of Residence Code - current",
lca = "Geo Council Area Code",
hscp = "Geo HSCP of Residence Code - current",
datazone = "Geo Data Zone 2011",
datazone2011 = "Geo Data Zone 2011",
location = "Treatment Location Code",
hbtreatcode = "Treatment NHS Board Code - current",
yearstay = "Occupied Bed Days (04)",
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2 changes: 1 addition & 1 deletion R/read_extract_nrs_deaths.R
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Expand Up @@ -39,7 +39,7 @@ read_extract_nrs_deaths <- function(
dplyr::rename(
death_location_code = "Death Location Code",
lca = "Geo Council Area Code",
datazone = "Geo Data Zone 2011",
datazone2011 = "Geo Data Zone 2011",
postcode = "Geo Postcode [C]",
hscp = "Geo HSCP of Residence Code - current",
death_board_occurrence = "NHS Board of Occurrence Code - current",
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2 changes: 1 addition & 1 deletion R/read_extract_ooh_consultations.R
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Expand Up @@ -34,7 +34,7 @@ read_extract_ooh_consultations <- function(
postcode = "Patient Postcode [C]",
hbrescode = "Patient NHS Board Code 9 - current",
hscp = "HSCP of Residence Code Current",
datazone = "Patient Data Zone 2011",
datazone2011 = "Patient Data Zone 2011",
gpprac = "Practice Code",
ooh_case_id = "GUID",
attendance_status = "Consultation Recorded",
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2 changes: 1 addition & 1 deletion R/run_episode_file.R
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Expand Up @@ -51,7 +51,7 @@ run_episode_file <- function(processed_data_list, year, write_to_disk = TRUE) {
"cij_dis_spec",
"cost_total_net",
"hscp",
"datazone",
"datazone2011",
"attendance_status",
"deathdiag1",
"deathdiag2",
Expand Down
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