Unilabs Laboratory Clinical Biochemistry, Vinalopó University Hospital, Elche, Spain.
Department of Clinical Medicine, MiBioPath group, Universidad Católica San Antonio de Murcia (UCAM), Murcia, Spain.
Biochem Med (Zagreb). 2018 Oct 15;28(3):030709. doi: 10.11613/BM.2018.030709.
The objective of this study was to identify trends in requests for anti-thyroid peroxidase antibodies (TPOab) and anti-thyroglobulin antibodies (TGab) tests before and after applying set of interventions based on rejection rules and profile management.
Trend analysis was made at semester time intervals (from May-October 2010 to May-October 2017), before and after the intervention semester (May-October 2016). Number of tests (N) TPOab and TGab / 1000 total requests based on total N of both tests and total N of biochemical analysis laboratory requests, was calculated. To find out where the interventions had more impact we distinguished N of requests between Primary Care (PC) and Specialized Care (SC). A joinpoint regression analysis was used to determine time segments and time points in these indicators where the trend changed.
Trend analysis of the request of TPOab and TGab showed two clearly differentiated trend lines with a statistically significant Joinpoint (P < 0.001) with an increase in each semester from May 2010 of 7.4% and 7.5% respectively, to the semester of the interventions where there was a decrease of - 45% and - 61% located mainly in PC. Trend analysis in SC setting did not show any Joinpoint and any trend line.
Results showed that applied interventions enabled change of trend for TPOab and TGab test requests, especially in PC where the interventions proved to be the most successful.
本研究的目的是在基于拒绝规则和档案管理的干预措施实施前后,确定抗甲状腺过氧化物酶抗体(TPOab)和抗甲状腺球蛋白抗体(TGab)检测申请的趋势。
在学期时间间隔(2010 年 5 月至 10 月至 2017 年 5 月至 10 月)进行趋势分析,干预学期(2016 年 5 月至 10 月)前后。根据两项测试的总申请数和生化分析实验室总申请数计算 TPOab 和 TGab 测试的申请数(N)/每千次总申请数。为了找出干预措施影响更大的地方,我们区分了初级保健(PC)和专科护理(SC)的申请数。使用 Joinpoint 回归分析确定这些指标中趋势发生变化的时间段和时间点。
TPOab 和 TGab 请求的趋势分析显示出两条明显区分的趋势线,具有统计学意义的 Joinpoint(P<0.001),自 2010 年 5 月以来,每个学期的增长率分别为 7.4%和 7.5%,干预学期的增长率分别为-45%和-61%,主要集中在 PC。SC 环境中的趋势分析没有显示任何 Joinpoint 和趋势线。
结果表明,应用的干预措施能够改变 TPOab 和 TGab 检测请求的趋势,尤其是在 PC 中,干预措施证明是最成功的。