title: Use of statistical process control in the production of blood components.
abstract: Introduction of statistical process control in the setting of a small blood centre was tested, both on the regular red blood cell production and specifically to test if a difference was seen in the quality of the platelets produced, when a change was made from a relatively large inexperienced occasional component manufacturing staff to an experienced regular manufacturing staff. Production of blood products is a semi-automated process in which the manual steps may be difficult to control. This study was performed in an ongoing effort to improve the control and optimize the quality of the blood components produced and gives an example of how to meet EU legislative requirements in a small-scale production centre. Data included quality control measurements in 363 units of red blood cells, 79 units of platelets produced by an occasional staff with 11 technologists and 79 units of platelets produced by an experienced staff with four technologists. We applied statistical process control to examine if time series of quality control values were in statistical control. Leucocyte count in red blood cells was out of statistical control. Platelet concentration and volume of the platelets produced by the occasional staff were out of control, which was not the case with the experienced staff. Introduction of control charts to a small blood centre has elucidated the difficulties in controlling the blood production and shown the advantage of using experienced regular component manufacturing staff.
authors.affiliation: Clinical Immunological Centre, Copenhagen University Hospital, Herlev, Denmark. karmag01@heh.regionh.dk
authors.forename: K
authors.initials: K
authors.lastname: Magnussen
authors.forename: S
authors.initials: S
authors.lastname: Quere
authors.forename: P
authors.initials: P
authors.lastname: Winkel
mesh_terms: D001771:Blood Banks / Q000592:standards; D001781:Blood Component Removal / Q000592:standards / Q000706:statistics & numerical data; D006801:Humans; D011785:Quality Assurance, Health Care; D011786:Quality Control; D013223:Statistics as Topic; D000094902:Blood Banking / Q000379:methods*