Disparities in Oral Nutritional Supplement Usage and Dispensing Patterns across Primary Care in Ireland: ONSPres Project

Nutrients. 2022 Jan 14;14(2):338. doi: 10.3390/nu14020338.

Abstract

When treating malnutrition, oral nutritional supplements (ONSs) are advised when optimising the diet is insufficient; however, ONS usage and user characteristics have not been previously analysed. A retrospective secondary analysis was performed on dispensed pharmacy claim data for 14,282 anonymised adult patients in primary care in Ireland in 2018. Patient sex, age, residential status, ONS volume (units) and ONS cost (EUR) were analysed. The categories of 'Moderate' (<75th centile), 'High' (75th-89th centile) and 'Very High' ONS users (≥90th centile) were created. The analyses among groups utilised t-tests, Mann-Whitney U tests and chi-squared tests. This cohort was 58.2% female, median age was 76 years, with 18.7% in residential care. The most frequently dispensed ONS type was very-high-energy sip feeds (45% of cohort). Younger males were dispensed more ONSs than females (<65 years: median units, 136 vs. 90; p < 0.01). Patients living independently were dispensed half the volume of those in residential care (112 vs. 240 units; p < 0.01). 'Moderate' ONS users were dispensed a yearly median of 84 ONS units (median cost, EUR 153), 'High' users were dispensed 420 units (EUR 806) and 'Very High' users 892 yearly units (EUR 2402; p < 0.01). Further analyses should focus on elucidating the reasons for high ONS usage in residential care patients and younger males.

Keywords: malnutrition; older adults; oral nutritional supplements; primary care.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Dietary Supplements / statistics & numerical data*
  • Female
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Ireland
  • Male
  • Malnutrition / therapy
  • Patient Acceptance of Health Care / statistics & numerical data
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Prescriptions / statistics & numerical data*
  • Primary Health Care / statistics & numerical data*
  • Residential Facilities / statistics & numerical data
  • Retrospective Studies