Clinical data extraction and feedback in general practice: a case study from Australian primary care

Background Quality improvement in general practice has increasingly focused on the analysis of its clinical databases to guide its improvement strategies. However, general practitioners (GPs) need to be motivated to extract and review their clinical data, and they need skills to do so. This study examines the initial experience of 15 practices in undertaking clinical data extraction and management and the support they were given by their local division of general practice. Objectives To explore the uptake of data extraction tools in general practice and understand how divisions of general practice can assist with their uptake. Method This study was conducted within a single division of general practice within the south-eastern suburbs of metropolitan Melbourne, Australia. Self-selected practiceswere offered a data extraction program ('tool') free of charge, with ongoing division support. Practice representatives, either GPs, practice nurses or other practice staff members, were given instructions on how to extract data using the data extraction tool. This was followed by discussion with division staff regarding which clinical areas might be focused on. Division staff systematically recorded information about the experience of the practices and collated their clinical data. Results Fifteen practices, representing 69 GPs, participated. The practices chose from the following areas to work on as quality improvement activities: improving data entry; inactivating patient files for those who no longer attended the practice; correcting demographic information; diabetes and coronary heart disease management. The recording of data, according to the extraction tool, was found to be incomplete. For example, one-third of the patients who had HbA1cs recorded were on target, i.e.