Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Developing a large electronic primary care database (Doctors' Independent Network) for research.

Iain M Carey1, Derek G Cook, Stephen De Wilde

  • 1Department of Community Health Sciences, St George's Hospital Medical School, Cranmer Terrace, London SW17 0RE, UK. sgj450@sghms.ac.uk

International Journal of Medical Informatics
|June 3, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Increased Risk of Infections in People Living With Diabetes.

Diabetes·2026
Same author

Worldwide Impact of Human Development and Inequality on the Prevalence of Asthma, Rhinoconjunctivitis and Eczema. Global Asthma Network's Ecological Study.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2026
Same author

Medicines prescribed in pregnancy: Protocol for a signal detection study using routinely collected data in England.

PloS one·2026
Same author

Antibiotic prescribing in people with and without diabetes: a population-based matched cohort study.

JAC-antimicrobial resistance·2026
Same author

Polygenic prediction of body mass index and obesity through the life course and across ancestries.

Nature medicine·2025
Same author

Body mass index and infection risks in people with and without type 2 diabetes: A cohort study using electronic health records.

International journal of obesity (2005)·2025
Same journal

MedNLP-Hub: A knowledgebase platform for biomedical NLP tool discovery in clinical informatics.

International journal of medical informatics·2026
Same journal

Structural challenges in accessing and using big data in health care: A case study based on palliative care research.

International journal of medical informatics·2026
Same journal

Machine learning-based prediction of non-ionic iodinated contrast media-induced acute adverse reactions following contrast-enhanced CT.

International journal of medical informatics·2026
Same journal

Integrating diversity, equity, and inclusion in generative AI applications for healthcare education: a scoping review.

International journal of medical informatics·2026
Same journal

Medical students' use of large language models: a national survey.

International journal of medical informatics·2026
Same journal

BlockFedMed: A blockchain-federated learning framework for privacy-preserving mortality prediction across heterogeneous intensive care units.

International journal of medical informatics·2026
See all related articles

The Doctors' Independent Network (DIN) database offers population-based clinical data comparable to the General Practice Research Database (GPRD). DIN uniquely includes socio-economic data, enabling analysis of health disparities in epidemiological research.

Area of Science:

  • Epidemiology
  • Health Services Research
  • Population Health Data

Background:

  • Primary care databases are vital for population health research.
  • Historically, these databases lacked individual-level socio-economic data.
  • The Doctors' Independent Network (DIN) database was developed to address this gap.

Purpose of the Study:

  • To describe the development of the DIN database.
  • To assess the validity and utility of DIN for epidemiological research.
  • To evaluate the inclusion of an individual-level socio-economic marker (ACORN).

Main Methods:

  • DIN database development and validation against the General Practice Research Database (GPRD).
  • External validity assessed by comparing demographic structure and prevalence rates of ischemic heart disease (IHD) and hay fever.

Related Experiment Videos

  • Socio-economic utility examined by analyzing IHD and hay fever prevalence trends by ACORN index.

    • Main Results:

    • DIN includes 1,827,361 patients from 142 practices (1992-2001), with age-sex structure matching England & Wales and GPRD.
    • Prevalence rates for treated IHD in DIN were highly comparable to GPRD.
    • IHD prevalence showed a higher odds ratio in 'striving' compared to 'thriving' ACORN areas; hay fever prevalence was inversely associated with ACORN.

    Conclusions:

    • The DIN database provides reliable period prevalence rates for common conditions, comparable to GPRD.
    • DIN's inclusion of a socio-economic index (ACORN) offers an advantage for health research.
    • DIN has the potential to enhance epidemiological and health services research, possibly replacing national morbidity surveys.