{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T03:42:41Z","timestamp":1764906161511,"version":"3.40.5"},"reference-count":37,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Paediatric Perinatal Epid"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Linked datasets that enable longitudinal assessments are scarce in low and middle\u2010income countries.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>We aimed to assess the linkage of administrative databases of live births and under\u2010five child deaths to explore mortality and trends for preterm, small (SGA) and large for gestational age (LGA) in Mexico.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We linked individual\u2010level datasets collected by National statistics from 2008 to 2019. Linkage was performed based on agreement on birthday, sex, residential address. We used the Centre for Data and Knowledge Integration for Health software to identify the best candidate pairs based on similarity. Accuracy was assessed by calculating the area under the receiver operating characteristic curve. We evaluated completeness by comparing the number of linked records with reported deaths. We described the percentage of linked records by baseline characteristics to identify potential bias. Using the linked dataset, we calculated mortality rate ratios (RR) in neonatal, infants, and children under\u2010five according to gestational age, birthweight, and size.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>For the period 2008\u20132019, a total of 24,955,172 live births and 321,165 under\u2010five deaths were available for linkage. We excluded 1,539,046 records (6.2%) with missing or implausible values. We succesfully linked 231,765 deaths (72.2%: range 57.1% in 2009 and 84.3% in 2011). The rate of neonatal mortality was higher for preterm compared with term (RR 3.83, 95% confidence interval, [CI] 3.78, 3.88) and for SGA compared with appropriate for gestational age (AGA) (RR 1.22 95% CI, 1.19, 1.24). Births at &lt;28\u2009weeks had the highest mortality (RR 35.92, 95% CI, 34.97, 36.88). LGA had no additional risk vs AGA among children under five (RR 0.92, 95% CI, 0.90, 0.93).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We demonstrated the utility of linked data to understand neonatal vulnerability and child mortality. We created a linked dataset that would be a valuable resource for future population\u2010based research.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ppe.12968","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T09:22:24Z","timestamp":1679304144000},"page":"266-275","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["National data linkage assessment of live births and deaths in Mexico: Estimating under\u2010five mortality rate ratios for vulnerable newborns and trends from 2008 to 2019"],"prefix":"10.1111","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0909-7737","authenticated-orcid":false,"given":"Lorena","family":"Su\u00e1rez\u2010Idueta","sequence":"first","affiliation":[{"name":"Mexican Society of Public Health  Mexico City Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0616-620X","authenticated-orcid":false,"given":"Robespierre","family":"Pita","sequence":"additional","affiliation":[{"name":"Centre of Data and Knowledge Integration for Health (CIDACS)  Salvador Brazil"},{"name":"Computing Institute Federal University of Bahia  Salvador Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1556-3159","authenticated-orcid":false,"given":"Hannah","family":"Blencowe","sequence":"additional","affiliation":[{"name":"Maternal, Adolescent, Reproductive &amp; Child Health (MARCH) Centre, Department of Infectious Disease Epidemiology London School of Hygiene &amp; Tropical Medicine  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arturo","family":"Barranco","sequence":"additional","affiliation":[{"name":"Ministry of Health, Population and Health Information Ministry of Health  Mexico City Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1932-1202","authenticated-orcid":false,"given":"Jesus F.","family":"Gonzalez","sequence":"additional","affiliation":[{"name":"Mexican Society of Public Health  Mexico City Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4797-908X","authenticated-orcid":false,"given":"Enny S.","family":"Paixao","sequence":"additional","affiliation":[{"name":"Centre of Data and Knowledge Integration for Health (CIDACS)  Salvador Brazil"},{"name":"Maternal, Adolescent, Reproductive &amp; Child Health (MARCH) Centre, Department of Infectious Disease Epidemiology London School of Hygiene &amp; Tropical Medicine  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0215-4930","authenticated-orcid":false,"given":"Mauricio L.","family":"Barreto","sequence":"additional","affiliation":[{"name":"Centre of Data and Knowledge Integration for Health (CIDACS)  Salvador Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4573-1443","authenticated-orcid":false,"given":"Joy E.","family":"Lawn","sequence":"additional","affiliation":[{"name":"Maternal, Adolescent, Reproductive &amp; Child Health (MARCH) Centre, Department of Infectious Disease Epidemiology London School of Hygiene &amp; Tropical Medicine  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3116-2593","authenticated-orcid":false,"given":"Eric O.","family":"Ohuma","sequence":"additional","affiliation":[{"name":"Maternal, Adolescent, Reproductive &amp; Child Health (MARCH) Centre, Department of Infectious Disease Epidemiology London School of Hygiene &amp; Tropical Medicine  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.4103\/0366-6999.178019"},{"issue":"1","key":"e_1_2_11_3_1","first-page":"11","article-title":"The 2006 Canadian birth\u2010census cohort","volume":"27","author":"Bushnik T","year":"2016","journal-title":"Health Rep"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0164667"},{"volume-title":"Births and their Outcomes by Time, Day and Year: a Retrospective Birth Cohort Data Linkage Study","year":"2019","author":"Macfarlane A","key":"e_1_2_11_5_1"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-3016.11.s1.11.x"},{"key":"e_1_2_11_7_1","unstructured":"United Nations.Department of Economic and Social Affairs 2022. 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