Background and Importance In our health area, which serves 450,000 patients, we have >2,000 polymedicated patients (PP) with >15 drugs/month. For an efficient approach to these PP it is necessary to establish some prioritisation criteria for their review.

Aim and Objectives To design an index of prioritisation to review PP based on the inadequacy of their polypharmacy, named Potential Inadequacy Index (PII).

Stratify all PP (>15 drugs/month) according to the score of the PII through an automated analysis of their prescriptions.

Material and Methods PII is made up of different situations that can occur in the pharmacological treatment of PP: duplicities, prescribing cascades, drugs with low therapeutic value, drugs that prolong the QT-interval and drugs contributing to anticholinergic burden were chosen as components of the PII, giving them a score in case of appearance:

All PP were stratified according to the PII score, review’s complexity degree of the polymedicated patient and estimated time for review are shown:

Results 2,258 PP were included, with a mean number of medications per patient of 16.78 (95% CI14.65-18.79), and the mean PII score was 2.01 (95% CI1.96-2.06). Patients’ distribution by review’s complexity is shown in the following table:

Conclusion and Relevance The automated analysis of the prescriptions of polymedicated patients, in search of potential criteria of inadequacy, can facilitate prioritisation in the review of patients.

The PII can help guide the identification of those patients with the greatest care needs.

Conflict of Interest No conflict of interest