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

Accessing and using hospital activity data.

A Hansell1, A Bottle, L Shurlock

  • 1Department of Epidemiology and Public Health, Imperial College School of Medicine at St Mary's, London.

Journal of Public Health Medicine
|April 24, 2001
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

Trends and associated factors for Covid-19 hospitalisation and fatality risk in 2.3 million adults in England.

Nature communications·2022
Same author

Effect of the SARS-CoV-2 pandemic on mortality related to high-risk emergency and major elective surgery.

The British journal of surgery·2021
Same author

Prevalence and duration of gastrointestinal symptoms before diagnosis of Inflammatory Bowel Disease and predictors of timely specialist review: a population-based study.

Journal of Crohn's & colitis·2020
Same author

A retrospective impact analysis of the WannaCry cyberattack on the NHS.

NPJ digital medicine·2019
Same author

Colorectal cancer patients under the age of 50 experience delays in primary care leading to emergency diagnoses: a population-based study.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2019
Same author

One-year outcomes for congenital diaphragmatic hernia.

BJS open·2019
Same journal

Contact tracing and population screening for tuberculosis - who should be assessed?

Journal of public health medicine·2004
Same journal

Change in adult health following medical priority rehousing.

Journal of public health medicine·2004
Same journal

Change in adult health following medical priority rehousing.

Journal of public health medicine·2004
Same journal

Communicable disease and health protection quarterly review: April to June 2003. From the Health Protection Agency Communicable Disease Surveillance Centre.

Journal of public health medicine·2004
Same journal

Prophylactic aspirin use in the adult general population.

Journal of public health medicine·2004
Same journal

Patterns of adult and old-age mortality in rural Burkina Faso.

Journal of public health medicine·2004
See all related articles

Interpreting hospital activity data requires careful consideration of the "provider effect," which includes factors like data completeness and hospital accessibility. Addressing data quality issues is crucial for accurate small area analyses and comparisons.

Area of Science:

  • Health Services Research
  • Biostatistics
  • Public Health Data Analysis

Background:

  • Hospital activity data are vital for health research but require careful interpretation.
  • These datasets reflect disease prevalence, patient factors, and referral patterns.
  • Variations in data can arise from provider-specific factors, termed the 'provider effect'.

Purpose of the Study:

  • To highlight the importance of understanding and addressing the 'provider effect' in hospital activity data.
  • To emphasize the need for data quality assessment in comparative and small area studies.
  • To caution against potential biases introduced by data limitations and postcode imputation methods.

Main Methods:

  • Review of hospital activity data sources and their inherent limitations.

Related Experiment Videos

  • Discussion of statistical approaches to control for the 'provider effect'.
  • Identification of data quality issues impacting rate calculations and small area analyses.

    • Main Results:

    • Hospital activity rates are influenced by provider-specific factors beyond patient and disease characteristics.
    • Data completeness, bed supply, admission policies, and hospital proximity contribute to the provider effect.
    • Missing data and 'dump' postcodes can create artefactual differences in health statistics.

    Conclusions:

    • Careful use and interpretation of hospital activity data are essential.
    • Statistical methods can mitigate, but not eliminate, the provider effect.
    • Ongoing data quality investigation is necessary for reliable health services research and policy.