Revealing complex interdependencies in surgical instrument reprocessing using SEIPS 101 tools.

Sterile Processing Departments (SPDs) must clean, maintain, store, and organize surgical instruments which are then delivered to Operating Rooms (ORs) using a Courier Network, with regular coordination occurring across departmental boundaries. To represent these relationships, we utilized the Systems Engineering Initiative for Patient Safety (SEIPS) 101 Toolkit, which helps model how health-related outcomes are affected by healthcare work systems. Through observations and interviews which built on prior work system analyses, we developed a SEIPS 101 journey map, PETT scan, and tasks matrices to represent the instrument reprocessing work system, revealing complex interdependencies between the people, tools, and tasks occurring within it. The SPD, OR and Courier teams are found to have overlapping responsibilities and a clear co-dependence, with critical implications for the successful functioning of the whole hospital system.

Body mass index and blood glucose in psychiatric and general practice populations.

Aims and method Using a retrospective observational approach, we aimed to discern whether there was a difference in metabolic parameters between psychiatric and general practice populations in the same locality. Second, we aimed to establish differences in metabolic parameters of patients taking olanzapine, clozapine or aripiprazole. Results Patients with psychiatric illness had a body mass index (BMI) comparable to that of the general practice population (28.7 v. 29.7 kg/m(2)), but blood glucose was significantly lower in the general practice population (4.8 v. 6.1 mmol/L). Olanzapine was associated with the lowest BMI (26.1 kg/m(2)) and aripiprazole the highest (32.2 kg/m(2)), with no difference in blood glucose between antipsychotics. Clinical implications Awareness of environmental factors and how they affect individuals is important and medications are not the only cause of metabolic effects. There may be a channelling bias present, meaning practitioners are cognisant of potential metabolic effects prior to prescribing. Overall monitoring of physical health is important regardless of potential cause.