Jocums S, Mitchel E F, Entman S S, Piper J M
School of Medicine, Vanderbilt University, Nashville, TN 37232-2637, USA.
Am J Prev Med. 1995 Mar-Apr;11(2):75-8.
We developed a method to identify maternal deaths (deaths to women within 365 days of delivery) by linking Tennessee vital records. A computerized algorithm compared personal identifiers from the death certificates of reproductive-aged women to maternal identifiers on birth and fetal death certificates. For each decedent record which met the study criteria, the algorithm calculated a "match score" by comparing common elements in both files. The algorithm awarded full credit for data elements that agree exactly, partial credit for elements in partial agreement, and subtracted credit for information that mismatched. Match scores ranged from 0 to 35 for the 9,009 deaths in women 10-55 years of age during the three study years, with the majority of scores (96.3%) being 0 for "no match." Match scores of 1 to 8 were obtained by 153 (1.7%) of decedent records, while scores greater than 9 were obtained by 184 (2.0%) of decedent records. We used nurse-abstracted hospital, autopsy, and coroner records as our standard to verify the linkages. Manual review of personal identifiers showed that scores of 12 or less were not a match while scores of 13 or more indicated "true" matches. Based on this cutoff, the linkage algorithm yielded 130 maternal deaths. Of these, 32 (25%) were classified as truly pregnancy-related upon medical record review by an obstetrician. The remaining 98 deaths were associated only temporally with pregnancy. During the same time period, 16 individuals were identified to the State Health Department on their death certificates as dying from pregnancy-related causes, including one not identified by the linkage process.(ABSTRACT TRUNCATED AT 250 WORDS)
我们开发了一种通过关联田纳西州的生命记录来识别孕产妇死亡(分娩后365天内女性死亡)的方法。一种计算机算法将育龄妇女死亡证明上的个人标识符与出生和胎儿死亡证明上的孕产妇标识符进行比较。对于每一条符合研究标准的死者记录,该算法通过比较两个文件中的共同元素来计算一个“匹配分数”。该算法对完全一致的数据元素给予满分,对部分一致的元素给予部分分数,并对不匹配的信息扣分。在三个研究年度中,10至55岁女性的9009例死亡记录的匹配分数范围为0至35,大多数分数(96.3%)为0,表示“不匹配”。153条(1.7%)死者记录的匹配分数为1至8,而184条(2.0%)死者记录的分数大于9。我们使用护士提取的医院、尸检和验尸官记录作为标准来验证这些关联。对个人标识符的人工审查表明,分数为12或更低的不是匹配,而分数为13或更高则表明是“真正的”匹配。基于这个临界值,关联算法得出了130例孕产妇死亡。其中,经产科医生病历审查,32例(25%)被归类为真正与妊娠相关。其余98例死亡仅在时间上与妊娠有关。在同一时期,有16人在其死亡证明上被州卫生部认定为死于与妊娠相关的原因,其中包括1例未通过关联程序识别出来的。(摘要截断于250字)