Generalisability of pharmacoepidemiological studies using restricted prescription data

C Brown1, T I Barron2, K Bennett2

  • 1National Cancer Registry Ireland, Building 6800, Cork Airport Business Park, Kinsale Rd, Cork City, Cork, Ireland. c.brown@ncri.ie.

Insights

Medical card status in women with ovarian cancer varies by age and socioeconomic factors. These predictors are crucial for interpreting pharmacoepidemiology research using Irish dispensing data.

Area of Science:

  • Epidemiology
  • Health Services Research
  • Oncology

Background:

  • Population-based pharmacoepidemiology research relies on linking medication and disease data.
  • Irish dispensing data is limited to the means-tested government-medical cards scheme, potentially affecting generalizability.
  • Previous research identified gender as a predictor of medical card status.

Purpose of the Study:

  • To compare women with and without medical cards at the time of ovarian cancer diagnosis.
  • To investigate factors associated with medical card status in ovarian cancer patients.
  • To assess the impact of medical card status on pharmacoepidemiological analyses.

Main Methods:

  • Ovarian cancers diagnosed between 2001-2010 were identified from the National Cancer Registry Ireland.
  • Logistic regression was used to evaluate associations between demographic and socioeconomic factors (age, region, deprivation, smoking, employment, marital status) and medical card status at diagnosis.
  • Cumulative incidence of new medical card receipt post-diagnosis was assessed.

Main Results:

  • Of 3396 women diagnosed with ovarian cancer, 1778 (52%) had a medical card at diagnosis.
  • Medical card prevalence at diagnosis was 33% for women under 70 and 87% for women 70 and older.
  • For women under 70, all evaluated factors were significantly associated with medical card status at diagnosis.
  • 52% of women without a medical card at diagnosis obtained one post-diagnosis.

Conclusions:

  • Medical card coverage among ovarian cancer patients mirrors the general population.
  • Several factors predict medical card status, particularly in women under 70.
  • External validity of pharmacoepidemiological studies using Irish dispensing data requires careful consideration due to these predictive factors.
Abstract

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