Rapid assessment of prevalence of cataract blindness at district level
Rapid assessment of prevalence of cataract blindness at district level
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DOI：
10.1093/ije/26.5.1049
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发表时间：
1997-10-01
影响因子：
7.7
通讯作者：
Indrayan, A
中科院分区：
文献类型：
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作者：
Limburg, H;Kumar, R;Indrayan, A
瞄准为合理估计印度某邦19个农村地区50岁以上人群白内障盲患病率，寻找最佳聚类大小和聚类数，材料，采用聚类抽样方法在印度卡纳塔克邦19个农村地区进行调查。在每个地区，随机选择15个群组，每个群组检查90名年龄大于或等于50岁的人。结果共对22218人的视力和透镜状态进行了评估。对于每个地区，计算了聚类大小从20到90的设计效果，并评估了最佳聚类大小和达到1%误差和80%置信度的准确度所需的聚类数量。经年龄和性别调整的白内障盲患病率为1.58%~ 7.24%，这证明了地区一级调查的合理性。对于大小为30和40的簇，设计效应接近1.5。在平均患病率为4.93%、误差为1%、置信水平为80%的情况下，当样本数为30和40时，最佳聚类数分别为37和28，平均样本数为1100左右。利用现有资源，可在印度地区一级对年龄大于或等于50岁的白内障失明进行快速评估这些数据提供了可靠的数据，对于有效的监测和规划至关重要。也可以评估其他参数，例如手术覆盖范围。必须提供标准化的数据输入和分析软件，并严格遵守调查程序。
Aim. To find an optimal cluster size and number of clusters for a reasonable estimate of the prevalence of cataract blindness in people aged greater than or equal to 50 years in 19 rural districts of a state in India, Materials, Cluster sampling methodology was used in 19 rural districts of Karnataka State, India. In each district, 15 clusters were randomly selected and 90 people aged greater than or equal to 50 years were examined in each cluster. As a result the visual acuity and lens status of a total of 22 218 people were assessed.Methods. For each district, the design effect for cluster size ranging from 20 to 90 was calculated and the optimal cluster size and the required number of clusters to achieve an accuracy of 1% errors and 80% confidence was assessed,Results. The age and gender adjusted prevalence of cataract blindness varied from 1.58% to 7.24%, which justifies district level surveys. The design effect is nearly 1.5 for clusters of sizes 30 and 40. With an average prevalence of 4.93% with 1% error and 80% confidence level, the optimal number of clusters is 37 and 28 for a cluster size of 30 and 40 respectively and the average sample size for a district around 1100.Conclusions, Rapid assessments for cataract blindness in those aged greater than or equal to 50 years can be conducted at district level in India with existing resources and at affordable costs, These provide reliable data, essential for effective monitoring and planning. Other parameters, for instance, surgical coverage can also be assessed. The availability of standardized software for data entry and analysis and strict adherence to survey procedures is essential.