Odei-Lartey Eliezer Ofori, Boateng Dennis, Danso Samuel, Kwarteng Anthony, Abokyi Livesy, Amenga-Etego Seeba, Gyaase Stephaney, Asante Kwaku Poku, Owusu-Agyei Seth
Kintampo Health Research Centre, Kintampo, Ghana;
Kintampo Health Research Centre, Kintampo, Ghana.
Glob Health Action. 2016 Mar 17;9:29854. doi: 10.3402/gha.v9.29854. eCollection 2016.
The reliability of counts for estimating population dynamics and disease burdens in communities depends on the availability of a common unique identifier for matching general population data with health facility data. Biometric data has been explored as a feasible common identifier between the health data and sociocultural data of resident members in rural communities within the Kintampo Health and Demographic Surveillance System located in the central part of Ghana.
Our goal was to assess the feasibility of using fingerprint identification to link community data and hospital data in a rural African setting.
A combination of biometrics and other personal identification techniques were used to identify individual's resident within a surveillance population seeking care in two district hospitals. Visits from resident individuals were successfully recorded and categorized by the success of the techniques applied during identification. The successes of visits that involved identification by fingerprint were further examined by age.
A total of 27,662 hospital visits were linked to resident individuals. Over 85% of those visits were successfully identified using at least one identification method. Over 65% were successfully identified and linked using their fingerprints. Supervisory support from the hospital administration was critical in integrating this identification system into its routine activities. No concerns were expressed by community members about the fingerprint registration and identification processes.
Fingerprint identification should be combined with other methods to be feasible in identifying community members in African rural settings. This can be enhanced in communities with some basic Demographic Surveillance System or census information.
在社区中,用于估计人口动态和疾病负担的计数的可靠性取决于是否有一个通用的唯一标识符,以便将一般人口数据与卫生设施数据进行匹配。生物识别数据已被探索作为位于加纳中部的金坦波卫生和人口监测系统内农村社区居民成员的健康数据和社会文化数据之间可行的通用标识符。
我们的目标是评估在非洲农村地区使用指纹识别来关联社区数据和医院数据的可行性。
采用生物识别技术和其他个人识别技术相结合的方法,在两家区级医院中识别寻求医疗服务的监测人群中的个体居民。通过识别过程中应用技术的成功情况,成功记录并分类了居民个体的就诊情况。对涉及指纹识别的就诊成功情况按年龄进行了进一步研究。
总共27662次医院就诊与居民个体相关联。超过85%的就诊至少使用一种识别方法成功识别。超过65%的就诊通过指纹成功识别并关联。医院管理部门的监督支持对于将该识别系统纳入其日常活动至关重要。社区成员对指纹登记和识别过程没有表示担忧。
在非洲农村地区识别社区成员时,指纹识别应与其他方法结合使用才可行。在有一些基本人口监测系统或人口普查信息的社区中,这一点可以得到加强。