How hospital pharmacists prioritise patients at high-risk for medication harm

Medication harm is experienced by up to 30% of hospitalised patients, of which 7% experience severe harm. Pharmacist review can mitigate this harm. However, in increasingly busy hospitals, with high patient throughput, and scarce resources, there is a need to prioritise patients. Current methods are cumbersome, include many risk factors and are not evaluated in the clinical setting.

To determine key criteria used by hospital pharmacists and investigate perspectives related to patient prioritisation for potential medication harm in the hospital setting.

This study used two methods; focus groups and a cross-sectional survey of Australian hospital pharmacists. Focus groups were used to identify criteria and perspectives related to prioritisation and were analysed thematically. Criteria from focus groups, and a systematic review, were used to design the survey. The survey was distributed via the Society of Hospital Pharmacists of Australia. The top 10 prioritisation criteria, and associated sub-criteria selected by over 50% of respondents were ranked. Combination of criteria used most frequently on a day-to-day basis were identified.

Twenty clinical pharmacists participated in four, one-hour, audio recorded focus groups. Using inductive thematic analysis of transcripts three themes were identified; 1) prioritisation criteria, 2) barriers to, and 3) facilitators of patient prioritisation, with five sub-themes and 26 codes. Pharmacists identified a number of barriers such as a lack of relevant handover information. Organisational demands, such as patient discharge and medications supply also influenced priority and could act as barriers to a pharmacist enacting their prioritisation plan. A total of 231 pharmacists completed the survey. High priority criteria included, renal impairment, use of high-risk medications and therapeutic drug monitoring.

Pharmacists described prioritisation as a multifactorial process with a focus on high-risk medications and renal impairment. These findings will inform the development of a predictive risk score for patient prioritisation.