Evidence map›Paper›PMID 41408553›Full record

ArticleBMC health services research2025

Decomposing the effects of changes of population size, age-sex profile, health status and residual factors on growth in hospital activity in English hospitals: an ecological database study from 2011-2019.

Steven Wyatt, Gabriel Hobro, Paul Seamer, Mohammed A Mohammed, Peter Spilsbury

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Steven WyattThe Strategy Unit, Birmingham, UK. swyatt@nhs.net.
Gabriel HobroNew Hospitals Programme, London, NHS, UK.
Paul SeamerThe Strategy Unit, Birmingham, UK.
Mohammed A MohammedThe Strategy Unit, Birmingham, UK.
Peter SpilsburyThe Strategy Unit, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitals are central to healthcare systems and understanding the drivers of hospital activity is critical for effective capacity planning, especially amid demographic shifts and fiscal pressure. In the English National Health Service (NHS), there are plans to construct 40 new hospitals. There is limited evidence on factors driving hospital activity. This study provides retrospective estimates of the effects of population growth (P), changes in the age-sex structure (S), shifts in age-specific health status (H), and residual factors (R) on hospital activity in England.

methodsTotal annual growth is modelled as G = (1 + P)(1 + S)(1 + H)(1 + R) - 1. Negative binomial regression models using hospital episode statistics from 2011 to 2019 were used to decompose total annual growth rates (G) into P,S,H and R by five points of delivery (listed below).

resultsThe annual growth rate for elective admissions was 2.29% (95% CI: 1.06% to 3.54%) which was made up of p = 0.88% (-0.96% to 2.67%), S = 0.69% (-0.62% to 2.18%), H = -0.03% (-0.23% to 0.17%) and R = 0.73% (0.58% to 0.88%). The annual growth rate for non-elective admission was 2.69% (1.55% to 3.83%) which was made up of p = 0.59% (-1.08% to 2.50%), S = 0.25% (-1.17% to 1.61%), H = 0.18% (-0.43% to 0.81%) and R = 1.65% (1.13% to 2.17%). The annual growth rate for maternity admissions was -0.70% (-5.65% to 4.51%) which was made up of p = 0.41% (-6.25% to 8.36%), S = -0.08% (-4.93% to 5.23%), H = 0.00% (NA) and R = -1.02% (-1.61% to -0.43%). The annual growth rate for outpatient attendance was 4.51% (3.62% to 5.40%) which was made up of p = 0.61% (-0.71% to 1.96%), S = 0.46% (-0.63% to 1.56%), H = -0.02% (-0.43% to 0.38%) and R = 3.41% (3.11% to 3.71%). The annual growth rate for emergency department attendance was 1.29% (0.71% to 1.88%) which was made up of p = 0.27% (-0.56% to 1.09%), S = 0.09% (-0.55% to 0.70%), H = 0.09% (-0.21% to 0.39%) and R = 0.84% (0.58% to 1.10%).

conclusionsIn general, growth in hospital activity was mostly driven by residual (R) factors, followed by population growth (P). Age-specific health status (H) had the lowest impact. These data may provide useful context for planning future hospital activity in England.

Indexed as

Health StatusHospitalizationHospitalsPopulation DensityPopulation GrowthAdolescentAdultAgedAge FactorsDatabases, FactualEnglandFemaleHumansInfantMaleMiddle AgedHealth status growthHospital activity decompositionPopulation growthResidual growth

Identifiers

PMID41408553
PMCPMC12709711

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