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A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England.
Campling, James; Begier, Elizabeth; Vyse, Andrew; Hyams, Catherine; Heaton, Dave; Southern, Jo; Finn, Adam; Madhava, Harish; Gessner, Bradford D; Ellsbury, Gillian.
Affiliation
  • Campling J; Pfizer Limited, Walton Oaks, Dorking Road, Tadworth Surrey, KT20 7NS, UK.
  • Begier E; Vaccines Medical Development, Scientific and Clinical Affairs, Pfizer Inc, Collegeville, PA, USA.
  • Vyse A; Pfizer Limited, Walton Oaks, Dorking Road, Tadworth Surrey, KT20 7NS, UK.
  • Hyams C; Bristol Vaccine Centre, Schools of Cellular and Molecular Medicine and of Population Health Sciences, University of Bristol, Bristol, BS2 8AE, UK.
  • Heaton D; Academic Respiratory Unit, Learning and Research Building, Southmead Hospital, Bristol, BS10 5NB, UK.
  • Southern J; Acute Medical Unit, Southmead Hospital, Bristol, BS10 5NB, UK.
  • Finn A; Harvey Walsh, Open Health Group, Marlow, Buckinghamshire, SL7 2FF, UK.
  • Madhava H; Vaccines Medical Development, Scientific and Clinical Affairs, Pfizer Inc, Collegeville, PA, USA.
  • Gessner BD; Bristol Vaccine Centre, Schools of Cellular and Molecular Medicine and of Population Health Sciences, University of Bristol, Bristol, BS2 8AE, UK.
  • Ellsbury G; Vaccines Medical Development, Scientific and Clinical Affairs, Pfizer Inc, Collegeville, PA, USA.
Epidemiol Infect ; 150: e150, 2022 07 11.
Article in En | MEDLINE | ID: mdl-35811424
ABSTRACT
While incidence studies based on hospitalisation counts are commonly used for public health decision-making, no standard methodology to define hospitals' catchment population exists. We conducted a review of all published community-acquired pneumonia studies in England indexed in PubMed and assessed methods for determining denominators when calculating incidence in hospital-based surveillance studies. Denominators primarily were derived from census-based population estimates of local geographic boundaries and none attempted to determine denominators based on actual hospital access patterns in the community. We describe a new approach to accurately define population denominators based on historical patient healthcare utilisation data. This offers benefits over the more established methodologies which are dependent on assumptions regarding healthcare-seeking behaviour. Our new approach may be applicable to a wide range of health conditions and provides a framework to more accurately determine hospital catchment. This should increase the accuracy of disease incidence estimates based on hospitalised events, improving information available for public health decision making and service delivery planning.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hospitalization / Hospitals Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Humans Country/Region as subject: Europa Language: En Journal: Epidemiol Infect Journal subject: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Year: 2022 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hospitalization / Hospitals Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Humans Country/Region as subject: Europa Language: En Journal: Epidemiol Infect Journal subject: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Year: 2022 Document type: Article Affiliation country: United kingdom