Publications by authors named "Sunhea Kim"
Objective: This study aims to identify hemolytic disease of the fetus and newborn (HDFN) pregnancies using electronic health records (EHRs) from a large integrated health care system.
Study Design: A retrospective cohort study was performed among pregnant patients receiving obstetrical care at Kaiser Permanente Southern California health care system between January 1, 2008, and June 30, 2022. Using structured (diagnostic/procedural codes, medication, and laboratory records) and unstructured (clinical notes analyzed via natural language processing) data abstracted from EHRs, we extracted HDFN-specific "indicators" (maternal positive antibody test and abnormal antibody titer, maternal/infant HDFN diagnosis and blood transfusion, hydrops fetalis, infant intravenous immunoglobulin [IVIG] treatment, jaundice/phototherapy, and first administrated Rho[D] Immune Globulin) to identify potential HDFN pregnancies.
Article Synopsis
- A study evaluated the participation rates of the Kaiser Permanente Side Effect Monitor (KPSEM), a self-reporting system for vaccine side effects, among patients receiving COVID-19 vaccinations from April 2021 to July 2023.
- Out of over 2 million vaccinated patients, only about 8% participated, with significant variations based on age and race; younger parents had the lowest rates, while older adults participated the most.
- The findings indicate that socio-economic factors influenced participation, as individuals in lower deprivation areas and certain racial groups were less likely to engage with the system.
Background: Studies combining data from digital surveys and electronic health records (EHR) can be used to conduct comprehensive assessments on COVID-19 vaccine safety.
Methods: We conducted an observational study using data from a digital survey and EHR of children aged 5-11 years vaccinated with Pfizer-BioNTech COVID-19 mRNA vaccine across Kaiser Permanente Southern California during November 4, 2021-February 28, 2022. Parents/guardians who enrolled their children were sent a 14-day survey on reactions.
Background: Shoulder injury related to vaccine administration (SIRVA) accounts for more than half of all claims received by the National Vaccine Injury Compensation Program. However, due to the difficulty of finding SIRVA cases in large health care databases, population-based studies are scarce.
Objective: The goal of the research was to develop a natural language processing (NLP) method to identify SIRVA cases from clinical notes.
Article Synopsis
- - The study explores the risk of shoulder conditions following intramuscular vaccinations, particularly in the deltoid muscle, using data from Kaiser Permanente Southern California between April 2016 and December 2017.
- - Out of over 3.7 million vaccinations, only 371 cases of shoulder conditions were identified, leading to an estimated incidence rate of 0.99 per 10,000 vaccinations, with higher risks noted in adults, especially women and older individuals.
- - Factors associated with increased risk included advanced age, female sex, specific vaccines, and simultaneous administration of vaccines among the elderly, indicating that certain populations may be more vulnerable to these shoulder issues post-vaccination.