August 1, 2025Wellcome Open ResearchOpen Access

The relationship between general practice characteristics, case-mix, and secondary care attendances/admissions before and after the COVID-19 pandemic: Protocol for an OpenSAFELY cohort study

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Authors

MZMengxuan Zou SDShrinkhala DawadiUniversity College London LPLuisa M PettigrewLondon School of Hygiene & Tropical Medicine

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Implication

Cohort study analyzes secondary care admissions in relation to general practice characteristics and patient case-mix in England, indicating significant trends post-pandemic.

Key Points

MAIN FINDING: General practice characteristics significantly influence secondary care attendances and admissions, especially during winter months.
KEY EVIDENCE: Analysis includes data from about 2,600 practices and 26 million patients, comparing pre-and post-pandemic patterns.
APPROACH: Utilized OpenSAFELY-TPP linked health records to assess A&E attendances and hospital admissions related to case-mix variables.
SIGNIFICANCE: Insights will guide health system planning by identifying factors that affect hospital demand and variation across practices.

Cite This Study

Zou et al. (2025) studied this question.

synapsesocial.com/papers/689a0c65e6551bb0af8cf9a1 https://doi.org/10.12688/wellcomeopenres.24356.1

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Implication

Cohort study analyzes secondary care admissions in relation to general practice characteristics and patient case-mix in England, indicating significant trends post-pandemic.

The relationship between general practice characteristics, case-mix, and secondary care attendances/admissions before and after the COVID-19 pandemic: Protocol for an OpenSAFELY cohort study

Discussion

Member takes

Implication

Key Points

Cite This Study

The relationship between general practice characteristics, case-mix, and secondary care attendances/admissions before and after the COVID-19 pandemic: Protocol for an OpenSAFELY cohort study

Discussion

Member takes

Implication

Key Points

Cite This Study

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