The promise of record linkage for assessing the uptake of health services in resource constrained settings: a pilot study from South Africa.
The promise of record linkage for assessing the uptake of health services in resource constrained settings: a pilot study from South Africa.
复制标题
DOI：
10.1186/1471-2288-14-71
复制
发表时间：
2014-05-24
影响因子：
4
通讯作者：
Reniers G
中科院分区：
文献类型：
--
作者：
Kabudula CW;Clark BD;Gómez-Olivé FX;Tollman S;Menken J;Reniers G
健康和人口监测系统（HDSS）在低收入和中等收入国家推动人口和健康研究方面发挥了重要作用，因为这些国家的人口动态登记系统往往很薄弱。然而，如果卫生和社会服务部的数据库能够与当地卫生设施的数据库连接起来，其效用将得到加强。我们使用来自Agincourt HDSS和当地卫生设施的数据，在南非农村地区的记录链接的可行性进行评估。使用一个黄金标准的数据集623记录对匹配的指纹，我们评估了20个记录链接的情况下（涉及不同的标识符，字符串比较技术，并与和不文书审查）的基础上的Felllegi-Sunter概率记录链接模型。匹配率和质量通过其灵敏度和阳性预测值（PPV）来衡量。比较匹配和不匹配病例的背景特征，以评估所得记录相关数据集中的系统偏倚。一种确定性的混合方法，然后是概率记录链接，以及使用一组扩展的标识符（包括另一个家庭成员的名字）的方案，会产生最好的结果。最好的全自动记录链接场景的灵敏度为83.6%，PPV为95.1%。当对10%的记录对进行文书审查时，敏感性和PPV分别增加到84.3%和96.9%。对于女性、非南非人和老年人来说，这种联系的可能性要低得多。使用记录匹配的指纹作为黄金标准，我们已经证明了全自动的概率记录链接使用标识符，在南非的卫生设施中定期收集的可行性。我们的研究还表明，如果使用其他标识符（例如，另一个家庭成员的名字）被添加到匹配变量集合中，并且在较小程度上进行文书审查。然而，匹配成功与指示个人属性随时间的不稳定性的背景特征相关（例如，女性的姓氏）或误报（例如，年龄）。
Health and Demographic Surveillance Systems (HDSS) have been instrumental in advancing population and health research in low- and middle- income countries where vital registration systems are often weak. However, the utility of HDSS would be enhanced if their databases could be linked with those of local health facilities. We assess the feasibility of record linkage in rural South Africa using data from the Agincourt HDSS and a local health facility. Using a gold standard dataset of 623 record pairs matched by means of fingerprints, we evaluate twenty record linkage scenarios (involving different identifiers, string comparison techniques and with and without clerical review) based on the Fellegi-Sunter probabilistic record linkage model. Matching rates and quality are measured by their sensitivity and positive predictive value (PPV). Background characteristics of matched and unmatched cases are compared to assess systematic bias in the resulting record-linked dataset. A hybrid approach of deterministic followed by probabilistic record linkage, and scenarios that use an extended set of identifiers including another household member’s first name yield the best results. The best fully automated record linkage scenario has a sensitivity of 83.6% and PPV of 95.1%. The sensitivity and PPV increase to 84.3% and 96.9%, respectively, when clerical review is undertaken on 10% of the record pairs. The likelihood of being linked is significantly lower for females, non-South Africans and the elderly. Using records matched by means of fingerprints as the gold standard, we have demonstrated the feasibility of fully automated probabilistic record linkage using identifiers that are routinely collected in health facilities in South Africa. Our study also shows that matching statistics can be improved if other identifiers (e.g., another household member’s first name) are added to the set of matching variables, and, to a lesser extent, with clerical review. Matching success is, however, correlated with background characteristics that are indicative of the instability of personal attributes over time (e.g., surname in the case of women) or with misreporting (e.g., age).
登录
查看更多内容
影响因子：
8.8
作者：
Franceschi, S;Dal Maso, L;Rezza, G
通讯作者：
Rezza, G
影响因子：
2.8
作者：
Karmel, Rosemary;Rosman, Diana
通讯作者：
Rosman, Diana
影响因子：
3.7
作者：
JARO, MA
通讯作者：
JARO, MA
影响因子：
2
作者：
JARO, MA
通讯作者：
JARO, MA
影响因子：
7.7
作者：
Blakely, T;Salmond, C
通讯作者：
Salmond, C