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哥伦比亚初级卫生保健工作者使用临床预测规则对美洲皮肤利什曼病进行监测和筛查。

Surveillance and screening of American cutaneous leishmaniasis by Colombian primary health care workers using a clinical prediction rule.

作者信息

Rojas Carlos A, Weigle Kristen A, Barrera Lena, Collazos Constanza

机构信息

Centro Internacional de Entrenamiento e Investigaciones Médicas, CIDEIM, AA 5390, Cali, Colombia.

出版信息

Trans R Soc Trop Med Hyg. 2002 Jul-Aug;96(4):405-10. doi: 10.1016/s0035-9203(02)90375-5.

DOI:10.1016/s0035-9203(02)90375-5
PMID:12497977
Abstract

Confirmed cases of American cutaneous leishmaniasis (ACL) and other dermatological diseases were evaluated in Colombia with a clinical prediction rule independently by 3 types of evaluators: community health volunteer (CHV), practical nurse (PN) and programme physician (PP). The adapted prediction rule included 6 variables based upon clinical-historical information. The screening instrument was a rotating tower of coloured squares, one colour for each variable. A score ranging from 0 to 7, and a cutoff point of > or = 4 was selected for ACL classification (sensitivity 94.3%, specificity 53.3% and efficiency 80.3%). Disease classification, total score, and variable-specific score obtained by CHVs and PNs were compared to those obtained by a PP. The impact on case detection in the study area was assessed. Both types of primary health worker had a high agreement with the PP (sensitivity) on the classification of patients with ACL by score, CHV (92.3%) and PN (93.3%). Case detection of ACL increased 3-fold over that observed one year earlier. This screening instrument and prediction rule, when incorporated into a community surveillance programme for ACL, can facilitate greater case detection and appropriate referral for more-specific diagnostic procedures.

摘要

在哥伦比亚,由社区卫生志愿者(CHV)、执业护士(PN)和项目医生(PP)这3类评估人员,依据临床预测规则,对确诊的美洲皮肤利什曼病(ACL)及其他皮肤病病例进行了独立评估。经过调整的预测规则包含基于临床病史信息的6个变量。筛查工具是一个彩色方块旋转塔,每个变量对应一种颜色。选择了0至7分的评分范围,并选取≥4分作为ACL分类的临界值(敏感性94.3%,特异性53.3%,效率80.3%)。将CHV和PN获得的疾病分类、总分及变量特定分数,与PP获得的结果进行比较。评估了对研究区域病例检测的影响。两类初级卫生工作者在通过评分对ACL患者进行分类方面,与PP的一致性较高(敏感性),CHV为92.3%,PN为93.3%。ACL的病例检测较一年前观察到的情况增加了3倍。当将这种筛查工具和预测规则纳入ACL社区监测项目时,可促进更多病例的检测,并为更具体的诊断程序进行适当转诊。

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