Long-term health-care utilisation in older patients with cancer and the association with the Geriatric 8 screening tool: a retrospective analysis using linked clinical and population-based data in Belgium

  • Victoria Depoorter
  • , Katrijn Vanschoenbeek
  • , Lore Decoster
  • , Geert Silversmit
  • , Philip R. Debruyne
  • , Inge De Groof
  • , Dominique Bron
  • , Frank Cornélis
  • , Sylvie Luce
  • , Christian Focan
  • , Vincent Verschaeve
  • , Gwenaëlle Debugne
  • , Christine Langenaeken
  • , Heidi Van Den Bulck
  • , Jean Charles Goeminne
  • , Wesley Teurfs
  • , Guy Jerusalem
  • , Dirk Schrijvers
  • , Bénédicte Petit
  • , Marika Rasschaert
  • Jean Philippe Praet, Katherine Vandenborre, Koen Milisen, Johan Flamaing, Cindy Kenis, Freija Verdoodt, Hans Wildiers*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Little evidence is available on the long-term health-care utilisation of older patients with cancer and whether this is associated with geriatric screening results. We aimed to evaluate long-term health-care utilisation among older patients after cancer diagnosis and the association with baseline Geriatric 8 (G8) screening results. Methods: For this retrospective analysis, we included data from three cohort studies for patients (aged ≥70 years) with a new cancer diagnosis who underwent G8 screening between Oct 19, 2009 and Feb 27, 2015, and who survived more than 3 months after G8 screening. The clinical data were linked to cancer registry and health-care reimbursement data for long-term follow-up. The occurrence of outcomes (inpatient hospital admissions, emergency department visits, use of intensive care, contacts with general practitioner [GP], contacts with a specialist, use of home care, and nursing home admissions) was assessed in the 3 years after G8 screening. We assessed the association between outcomes and baseline G8 score (normal score [>14] or abnormal [≤14]) using adjusted rate ratios (aRRs) calculated from Poisson regression and using cumulative incidence calculated as a time-to-event analysis with the Kaplan-Meier method. Findings: 7556 patients had a new cancer diagnosis, of whom 6391 patients (median age 77 years [IQR 74–82]) met inclusion criteria and were included. 4110 (64·3%) of 6391 patients had an abnormal baseline G8 score (≤14 of 17 points). In the first 3 months after G8 screening, health-care utilisation peaked and then decreased over time, with the exception of GP contacts and home care days, which remained high throughout the 3-year follow-up period. Compared with patients with a normal baseline G8 score, patients with an abnormal baseline G8 score had more hospital admissions (aRR 1·20 [95% CI 1·15–1·25]; p<0·0001), hospital days (1·66 [1·64–1·68]; p<0·0001), emergency department visits (1·42 [1·34–1·52]; p<0·0001), intensive care days (1·49 [1·39–1·60]; p<0·0001), general practitioner contacts (1·19 [1·17–1·20]; p<0·0001), home care days (1·59 [1·58–1·60]; p<0·0001), and nursing home admissions (16·7% vs 3·1%; p<0·0001) in the 3-year follow-up period. At 3 years, of the 2281 patients with a normal baseline G8 score, 1421 (62·3%) continued to live at home independently and 503 (22·0%) had died. Of the 4110 patients with an abnormal baseline G8 score, 1057 (25·7%) continued to live at home independently and 2191 (53·3%) had died. Interpretation: An abnormal G8 score at cancer diagnosis was associated with increased health-care utilisation in the subsequent 3 years among patients who survived longer than 3 months. Funding: Stand up to Cancer, the Flemish Cancer Society.

Original languageEnglish
Pages (from-to)e326-e336
JournalThe Lancet Healthy Longevity
Volume4
Issue number7
DOIs
Publication statusPublished - Jul 2023

ASJC Scopus subject areas

  • Health (social science)
  • Geriatrics and Gerontology
  • Psychiatry and Mental Health
  • Family Practice

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