Archana Siddaiah, Nongkrynh B, Anand K, Pandav C S
Centre for Community Medicine, All India Institute of Medical Sciences, #14, Ground floor, Near old OT block, Ansari Nagar, New Delhi, 110029, India.
BMC Health Serv Res. 2015 Sep 21;15:400. doi: 10.1186/s12913-015-1067-x.
High prevalence of reproductive morbidities is seen among adolescents in India. Health workers play an important role in providing health services in the community, including the adolescent reproductive health services. A study was done to assess the feasibility of training female health workers (FHWs) in the classification and management of selected adolescent girls' reproductive health problems according to modified WHO algorithms.
The study was conducted between Jan-Sept 2011 in Northern India. Thirteen FHWs were trained regarding adolescent girls' reproductive health as per WHO Adolescent Job-Aid booklet. A pre and post-test assessment of the knowledge of the FHWs was carried out. All FHWs were given five modified WHO algorithms to classify and manage common reproductive morbidities among adolescent girls. All the FHWs applied the algorithms on at least ten adolescent girls at their respective sub-centres. Simultaneously, a medical doctor independently applied the same algorithms in all girls. Classification of the condition was followed by relevant management and advice provided in the algorithm. Focus group discussion with the FHWs was carried out to receive their feedback.
After training the median score of the FHWs increased from 19.2 to 25.2 (p - 0.0071). Out of 144 girls examined by the FHWs 108 were classified as true positives and 30 as true negatives and agreement as measured by kappa was 0.7 (0.5-0.9). Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 94.3% (88.2-97.4), 78.9% (63.6-88.9), 92.5% (86.0-96.2), and 83.3% (68.1-92.1) respectively.
A consistent and significant difference between pre and post training knowledge scores of the FHWs were observed and hence it was possible to use the modified Job Aid algorithms with ease. Limitation of this study was the munber of FHWs trained was small. Issues such as time management during routine work, timing of training, overhead cost of training etc were not taken into account.
Training was successful in increasing the knowledge of the FHWs about adolescent girls' reproductive health issues. The FHWs were able to satisfactorily classify the common adolescent girls' problems using the modified WHO algorithms.
印度青少年中生殖疾病的患病率很高。卫生工作者在社区提供卫生服务,包括青少年生殖健康服务方面发挥着重要作用。开展了一项研究,以评估根据世界卫生组织(WHO)修改后的算法对女性卫生工作者(FHWs)进行选定的青少年女性生殖健康问题分类和管理培训的可行性。
该研究于2011年1月至9月在印度北部进行。按照WHO青少年工作辅助手册对13名FHWs进行了青少年女性生殖健康方面的培训。对FHWs的知识进行了培训前和培训后的评估。所有FHWs都获得了5种WHO修改后的算法,用于对青少年女性常见生殖疾病进行分类和管理。所有FHWs在各自的分中心对至少10名青少年女性应用了这些算法。同时,一名医生在所有女孩中独立应用相同的算法。根据算法对病情进行分类后,提供相关的管理和建议。与FHWs进行了焦点小组讨论,以获取他们的反馈。
培训后,FHWs的中位数得分从19.2提高到25.2(p = 0.0071)。在FHWs检查的144名女孩中,108名被分类为真阳性,30名被分类为真阴性,kappa测量的一致性为0.7(0.5 - 0.9)。敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)分别为94.3%(88.2 - 97.4)、78.9%(63.6 - 88.9)、92.5%(86.0 - 96.2)和83.3%(68.1 - 92.1)。
观察到FHWs培训前后知识得分存在一致且显著的差异,因此可以轻松使用修改后的工作辅助算法。本研究的局限性在于接受培训的FHWs数量较少。未考虑日常工作中的时间管理、培训时间、培训间接成本等问题。
培训成功提高了FHWs对青少年女性生殖健康问题的认识。FHWs能够使用修改后的WHO算法令人满意地对青少年女性的常见问题进行分类。