Workforce affiliation in primary and secondary prevention implantable cardioverter defibrillator patients: a

Simone H Rosenkranz1, Charlotte H Wichmand1, Lærke Smedegaard1

  • 1Department of Cardiology, Copenhagen University Hospital, Herlev and Gentofte, Hellerup, Denmark.

Insights

Most patients receiving an implantable cardioverter defibrillator (ICD) return to work, but lower education and other factors increase the risk of not returning. This study identifies key risk markers for workforce re-entry after ICD implantation.

Area of Science:

  • Cardiology
  • Public Health
  • Occupational Medicine

Background:

  • Limited research exists on workforce affiliation post-implantable cardioverter defibrillator (ICD) implantation.
  • Understanding return-to-work factors is crucial for patient well-being and healthcare system efficiency.

Purpose of the Study:

  • To investigate workforce affiliation in patients undergoing first-time ICD implantation.
  • To identify risk markers associated with not returning to work after ICD implantation.

Main Methods:

  • Utilized nationwide Danish registers to identify working-age patients (30-65 years) with first-time ICD implantation (2007-2017).
  • Employed descriptive statistics and logistic regression models to analyze workforce affiliation and risk markers.
  • Stratified analyses by indication for ICD implantation (primary and secondary prevention).

Main Results:

  • Of 4659 patients, 71% were in the workforce; 81% (primary prevention) and 75% (secondary prevention) of employed patients returned to work within one year.
  • Risk markers for not returning to work included younger age (primary prevention), female sex, reduced ejection fraction (LVEF ≤40%), lower income, and multiple comorbidities (secondary prevention).
  • Lower educational level was a significant risk marker for not returning to work in both primary and secondary prevention groups.

Conclusions:

  • High proportions of patients return to work after ICD implantation, with sustained employment.
  • Identified significant risk markers, notably lower educational level, impacting return-to-work rates.
  • Findings highlight the need for targeted support for patients at risk of prolonged work absence.
Abstract

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