The Vaccine Safety Datalink: A Model for Monitoring Immunization Safety

Baggs, James; Gee, Julianne; Lewis, Edwin; Fowler, Gabrielle; Benson, Patti; Lieu, Tracy A.; Naleway, Allison L.; Klein, Nicola P.; Baxter, Roger; Belongia, Edward A.; Glanz, Jason M.; Hambidge, Simon J.; Jacobsen, Steven J.; Jackson, Lisa A.; Nordin, James D.; Weintraub, Eric

doi:10.1542/peds.2010-1722h

Cited by 269 publications

(221 citation statements)

References 52 publications

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“…22,23 The VSD captures comprehensive medical and vaccination histories for >9 million people annually, ∼3% of the US population. The VSD uses electronic medical records and other administrative sources at each site to gather data on enrollees including demographics, vaccinations, and medical outcomes, including deaths.…”

Section: Methodsmentioning

confidence: 99%

Vaccination and 30-Day Mortality Risk in Children, Adolescents, and Young Adults

et al. 2016

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OBJECTIVE: This study evaluates the potential association of vaccination and death in the Vaccine Safety Datalink (VSD). METHODS:The study cohort included individuals ages 9 to 26 years with deaths between January 1, 2005, and December 31, 2011. We implemented a case-centered method to estimate a relative risk (RR) for death in days 0 to 30 after vaccination.Deaths due to external causes (accidents, homicides, and suicides) were excluded from the primary analysis. In a secondary analysis, we included all deaths regardless of cause. A team of physicians reviewed available medical records and coroner's reports to confirm cause of death and assess the causal relationship between death and vaccination. RESULTS:Of the 1100 deaths identified during the study period, 76 (7%) occurred 0 to 30 days after vaccination. The relative risks for deaths after any vaccination and influenza vaccination were significantly lower for deaths due to nonexternal causes (RR 0.57, 95% confidence interval [CI] 0.38-0.83, and RR 0.44, 95% CI 0.24-0.80, respectively) and deaths due to all causes (RR 0.72, 95% CI 0.56-0.91, and RR 0.44, 95% CI 0.28-0.65). No other individual vaccines were significantly associated with death. Among deaths reviewed, 1 cause of death was unknown, 25 deaths were due to nonexternal causes, and 34 deaths were due to external causes. The causality assessment found no evidence of a causal association between vaccination and death.CONCLUSIONS: Risk of death was not increased during the 30 days after vaccination, and no deaths were found to be causally associated with vaccination.

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Section: Methodsmentioning

confidence: 99%

Vaccination and 30-Day Mortality Risk in Children, Adolescents, and Young Adults

et al. 2016

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“…We used a previously described cohort 15 from the pediatric population of the Vaccine Safety Datalink (VSD), 22 a collaborative project between the Centers for Disease Control and Prevention and several managed care organizations (MCOs) from across the United States that cover .3% of the US population. The MCOs offer similar preventive service packages and agespecific delivery of childhood vaccines.…”

Section: Setting and Populationmentioning

confidence: 99%

Timely Versus Delayed Early Childhood Vaccination and Seizures

et al. 2014

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WHAT'S KNOWN ON THIS SUBJECT: Reasons for childhood immunization delay include parental intent and barriers such as transportation. To date there has been 1 study of the association of delayed vaccination and seizures, which found measlesmumps-rubella and measles-mumps-rubella-varicella vaccines are both associated with a higher rate of seizures if received after 15 months of age.WHAT THIS STUDY ADDS: Our study found no association between the timing of vaccination and occurrence of seizures in the first year of life. By using different methods, our results support the observation that delaying vaccination with measles-containing vaccines past 15 months of age increases the incidence of postvaccination seizures. abstract BACKGROUND: Little is known regarding the timing of childhood vaccination and postvaccination seizures.

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“…These 2 sites are part of the consortium of 10 healthcare delivery systems that collaborate with the Centers for Diseases Control and Prevention (CDC) on vaccine safety assessments through the Vaccine Safety Datalink (VSD; ref. 10). As part of the VSD, data on demographics, medical diagnosis, and health services use are collected in standardized data files.…”

Section: Methodsmentioning

confidence: 99%

Cervical Intraepithelial Neoplasia Grade 3 and Adenocarcinoma In Situ: Comparison of ICD-9 Codes and Pathology Results—Kaiser Permanente, United States, 2000–2005

Surie¹,

Dunne²,

Naleway³

et al. 2013

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Cervical intraepithelial neoplasia grade 3þ (CIN3þ) and adenocarcinoma in situ incidence will be an important measure of HPV vaccine impact. Integrated healthcare delivery systems, such as Kaiser Permanente, could be used to monitor CIN3þ trends; however, limited evaluations of data from healthcare delivery systems for CIN3þ surveillance exist.Methods: We compared CIN3þ diagnoses by ICD-9 code with CIN3þ diagnoses by pathology results among 121,211 females aged 11 to 30 years who were continuously enrolled from 2000 to 2005 in either Kaiser Permanente Northern California or Kaiser Permanente Northwest. We calculated sensitivity and positive predictive value of diagnosis by ICD-9 codes using pathology CIN3þ diagnosis as the gold standard.Results: There were 1,090 women with at least one CIN3þ diagnosis by ICD-9 code 233.1 and 1,200 women with at least one CIN3þ diagnosis by pathology results. The sensitivity of the ICD-9 code for detecting a woman with at least one pathology diagnosis for CIN3þ was 62% (740/1,200); positive predictive value was 68% (740/1,090). Among women with at least one CIN3þ diagnosis by ICD-9 code, 679 (62%) had more than one visit with this code; whereas, among women with at least one CIN3þ diagnosis by pathology, 466 (39%) had more than one CIN3þ pathology result.Conclusions: ICD-9 codes may underestimate the number of women with at least one CIN3þ diagnosis. Impact: Pathology results, when available, may provide better estimates of CIN3þ incidence. Cancer Epidemiol Biomarkers Prev; 22(6); 1129-32. Ó2013 AACR.

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The Vaccine Safety Datalink: A Model for Monitoring Immunization Safety

Cited by 269 publications

References 52 publications

Vaccination and 30-Day Mortality Risk in Children, Adolescents, and Young Adults

Vaccination and 30-Day Mortality Risk in Children, Adolescents, and Young Adults

Timely Versus Delayed Early Childhood Vaccination and Seizures

Cervical Intraepithelial Neoplasia Grade 3 and Adenocarcinoma In Situ: Comparison of ICD-9 Codes and Pathology Results—Kaiser Permanente, United States, 2000–2005

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