GithubHelp home page GithubHelp logo

continuity_of_care_by_ethnicity's Introduction

Ethnic inequalities in continuity of care

Project Status: Under review

Project Description

Relational continuity of care in primary care is about having an ongoing therapeutic relationship between the patient and practitioner. Studies have linked it to a range of positive outcomes including lower mortality and higher patient satisfaction. Evidence from surveys of patients who use General Practice points to lower relational continuity of care for some ethnic minority groups than for patients of white ethnicity. We set out to describe continuity of care from primary care records.

Data Sources

We are using data from the Clinical Practice Research Datalink (CPRD), protocol number 21_000333. This includes linked HES, ONS death registration and area deprivation (IMD) data for the subset of patients for whom this is available.

Data used for this analysis were anonymised in line with the ICO's Anonymisation Code of Practice. The data were accessed in The Health Foundation's Data Analytics Platform, which is a secure data analysis facility (accredited for the ISO27001 information security standard, and recognised for the NHS Digital Data Security and Protection Toolkit). No information that could directly identify a patient or other individual was used. Variables labelled 'patid' do not refer to NHS IDs or other identifiable patient data.

How does it work?

As the data used for this analysis is not publically available, the code cannot be used to replicate the analysis on this dataset. However, with modifications the code will be able to be used on other patient-level CPRD extracts.

Requirements

These scripts were written in R version 3.6.2 and RStudio version 1.2.5033.

Getting started

The 'R' folder contains:

  • 01_Process_raw_data_COC.R - data derivations capturing continuity for up to 4 years of followup
  • 01_Process_raw_data_COC1yr.R - data derivations capturing continuity for 1 year of follow
  • 02_Derive_patientvars_COC.R - merge in patient characteristics
  • 03_Descriptive_models_COC.R - Creates tables and regression models for up to 4 years of followup
  • 03_Descriptive_models_COC1yr.R - Creates tables and regression models for 1 year of followup
  • 03_Descriptive_models_COC_white_ethnicity.R - Creates tables and regression models with the white ethnic group disaggregated

License

This project is licensed under the MIT License.

Code Authors - please feel free to get in touch

continuity_of_care_by_ethnicity's People

Contributors

jay-ops256 avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.