@article{3236, keywords = {PRIMARY CARE}, author = {Paul Bowie and Julie Price and Neil Hepworth and Mark Dinwoodie and John McKay}, title = {System hazards in managing laboratory test requests and results in primary care: medical protection database analysis and conceptual model.}, abstract = {

OBJECTIVES: To analyse a medical protection organisation's database to identify hazards related to general practice systems for ordering laboratory tests, managing test results and communicating test result outcomes to patients. To integrate these data with other published evidence sources to inform design of a systems-based conceptual model of related hazards.

DESIGN: A retrospective database analysis.

SETTING: General practices in the UK and Ireland.

PARTICIPANTS: 778 UK and Ireland general practices participating in a medical protection organisation's clinical risk self-assessment (CRSA) programme from January 2008 to December 2014.

MAIN OUTCOME MEASURES: Proportion of practices with system risks; categorisation of identified hazards; most frequently occurring hazards; development of a conceptual model of hazards; and potential impacts on health, well-being and organisational performance.

RESULTS: CRSA visits were undertaken to 778 UK and Ireland general practices of which a range of systems hazards were recorded across the laboratory test ordering and results management systems in 647 practices (83.2%). A total of 45 discrete hazard categories were identified with a mean of 3.6 per practice (SD=1.94). The most frequently occurring hazard was the inadequate process for matching test requests and results received (n=350, 54.1%). Of the 1604 instances where hazards were recorded, the most frequent was at the 'postanalytical test stage' (n=702, 43.8%), followed closely by 'communication outcomes issues' (n=628, 39.1%).

CONCLUSIONS: Based on arguably the largest data set currently available on the subject matter, our study findings shed new light on the scale and nature of hazards related to test results handling systems, which can inform future efforts to research and improve the design and reliability of these systems.

}, year = {2015}, journal = {BMJ Open}, volume = {5}, pages = {e008968}, month = {11/2015}, issn = {2044-6055}, doi = {10.1136/bmjopen-2015-008968}, language = {eng}, }