Objectives Simulated patient (SP) methodology (mystery shopping) is used increasingly to assess quality of pharmacy services, and evaluate impact of interventions. Our objective was to review papers reporting on the use of SP methodology in pharmacy practice research 2006-2016 in community pharmacies worldwide. Methods We searched EMBASE and MEDLINE for papers reporting on the use of mystery shopping in pharmacy settings, using a wide range of terms for SPs, based on previous review. We removed irrelevant papers, duplicates, papers not written in English, and review papers and reviewed remaining papers. Two reviewers carried out data abstraction, using the same tool as the previous review and inserting data into Excel, focusing on how the SP methodology is used. Key findings A total of 148 papers from 52 countries from all regions of the world were included in the review. A wide range of terms described the method, and simulated patient was the most common (49 papers). Most studies were cross-sectional (124), and most investigated only community pharmacies (115). The most common aim was to evaluate some aspect of pharmacists' or other staff's advice and counselling (94). Number of visits is 2-7785. Many papers did not cover details, such as number of visits planned, and carried out, scenario used, training and background of SPs, and ethical approval for the study. Conclusions The use of SP methodology has increased substantially in the field of pharmacy over the past decade. This is a useful method in a wide range of countries and settings. Greater detail is required in reporting.
This article describes the experience of staff in one acute hospital in Northern Ireland who adapted the Liverpool Care Pathway (LCP) for the dying patient to suit their organisation. It focuses on one patient's journey, from diagnosis to terminal care. The patient remained on the care pathway for 12 days. This reflection demonstrates that, as long as patients continue to meet the criteria for the LCP, some may be on the care pathway for more than the recognised average of two days.
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