The association between prescription change frequency, chronic disease score and hospital admissions: a case control

Carolien G M Sino1, Rutger Stuffken, Eibert R Heerdink

  • 1University of Applied Sciences Utrecht, Research Centre for Innovation in Healthcare, Bolognalaan 101, 3584 Utrecht, CJ, The Netherlands. Carolien.sino@hu.nl

Insights

Increased prescription changes frequency (PCF) is linked to higher hospital admission rates, similar to the Chronic Disease Score (CDS). Healthcare providers should monitor PCF for potential patient risks.

Area of Science:

  • Pharmacovigilance
  • Health Services Research
  • Clinical Pharmacy

Background:

  • The Chronic Disease Score (CDS) assesses comorbidity using 1-year pharmacy data.
  • Prescription Changes Frequency (PCF) evaluates changes over a 3-month period.
  • This study compares PCF and CDS in relation to hospital admissions.

Purpose of the Study:

  • To assess the association between prescription changes frequency (PCF) and hospital admissions.
  • To compare the predictive value of PCF against the Chronic Disease Score (CDS).

Main Methods:

  • Retrospective matched case-control study using the Dutch PHARMO database.
  • 10,000 randomly selected patients hospitalized between July 1998 and June 2000.
  • Prescription changes (dosage, switch, stop, start) analyzed in 3-month intervals preceding hospitalization.

Main Results:

  • Higher PCF categories correlated with increased odds of hospital admission.
  • At 3 months pre-admission, PCF ≥ 4 showed an Odds Ratio (OR) of 4.1 (95% CI 3.1-5.1).
  • Higher CDS scores also indicated increased hospitalization risk, with CDS 5+ having an OR of 3.0 (95% CI 2.7-3.3).

Conclusions:

  • Prescription Changes Frequency (PCF) is a significant predictor of hospital admission, comparable to CDS.
  • Healthcare professionals should be vigilant regarding increased PCF as a potential risk indicator.
  • Clinical decision support rules could enhance pharmacist and physician awareness of prescription change-related risks.
Abstract

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