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cqcr

License: GPL v3 CRAN_Status_Badge GitHub tag R build status AppVeyor build status Codecov test coverage DOI

Get data from the Care Quality Commission API

Access data from the ‘Care Quality Commission’, the health and adult social care regulator for England. The ‘Care Quality Commission’ operates an API, with data available under the Open Government License. Data includes information on service providers, locations such as hospitals, care homes and medical clinics, and ratings and inspection reports.

Installation

The package is available on CRAN, and can be installed with:

install.packages("cqcr")

To install the development version from GitHub use:

#install.packages("devtools")
devtools::install_github("evanodell/cqcr")
library(cqcr)
library(purrr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(ggplot2)
library(forcats)
loc1 <- cqc_locations_search(care_home = TRUE, 
                             local_authority = c("Waltham Forest",
                                                 "Hackney", "Tower Hamlets"))


care_home_details <- cqc_location_details(loc1)

care_home_df <- map_dfr(care_home_details, `[`,
                        c("location_id", "name", "number_of_beds", 
                          "onspd_longitude", "onspd_latitude"))

care_home_df <- care_home_df %>% 
  mutate(rating = care_home_details %>%
           map(c("current_ratings", "overall", "rating")) %>%
           as.character(),
         rating = recode(rating, "NULL" = "No published rating"),
         rating = factor(rating, levels = c("Outstanding", "Good",
                                            "Requires improvement", 
                                            "Inadequate",
                                            "No published rating")),
         report_date = care_home_details %>%
           map(c("current_ratings", "reportDate")) %>%
           as.character(),
         report_date = ifelse(report_date == "NULL", NA, report_date),
         specialisms = care_home_details %>% map(c("specialisms", "name")))
care_home_df_unnest <- tidyr::unnest(care_home_df, cols = c(specialisms)) %>%
  mutate(specialisms = fct_infreq(specialisms))

theme_set(theme_bw())

ggplot(care_home_df_unnest,
                        aes(x = specialisms, fill = rating)) + 
  geom_bar() + 
  scale_x_discrete(labels = scales::wrap_format(33)) + 
  scale_fill_viridis_d(name="", option = "A", end = 0.95) + 
  labs(x = "Specialism(s)", y = "Number of Care Homes") + 
  theme(legend.position = "bottom",
        axis.text.x = element_text(size = 8, angle = 60, hjust = 1))

Citing cqcr

Odell E (2019). cqcr: Access ‘Care Quality Commission’ Data. doi: 10.5281/zenodo.3452020, R package version 0.1.3.9000, URL: https://github.com/evanodell/cqcr.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {{cqcr}: Access 'Care Quality Commission' Data},
    author = {Evan Odell},
    doi = {10.5281/zenodo.3452020},
    year = {2019},
    note = {R package version 0.1.3.9000},
    url = {https://github.com/evanodell/cqcr},
  }

Notes

This package is not affiliated with or supported by the Care Quality Commission.

Please note that the ‘cqcr’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.