Objectives: Retrospective measures of childhood socioeconomic status (SES) in cohort studies of aging that first observe people late in life-such as the Health and Retirement Study (HRS)-are widely used. However, their measurement validity and reliability are unknown. We assess the reliability and validity of the HRS's retrospective measures of parental education and childhood family finances.
Methods: We use records for 6,343 HRS sample members who were children in 1940 that have been linked to records from the complete-count 1940 U.S. Census. We assess interrater reliability by comparing (a) retrospective reports of childhood SES collected from sample members in the 1992-2018 HRS to (b) prospective measures of parallel concepts collected from HRS sample members' parents in the 1940 Census. We assess predictive validity by comparing the results of analyses that model later-life outcomes as a function of childhood SES as measured both prospectively and retrospectively.
Results: Interrater reliabilities of retrospective measures of parental education are high; however, the same is not true of the retrospective measure of childhood family finances. Both retrospective and prospective measures of childhood SES are predictive of later-life outcomes, and with similar strengths and directions of associations for most outcomes.
Discussion: Researchers who rely on retrospective indicators of childhood SES from the HRS should be aware of their measurement properties. They are measured with error, and that error modestly attenuates estimates of their associations with later-life outcomes. However, prospective and retrospective measures of childhood SES have similar predictive validity. These findings should reassure researchers who rely on retrospective measures of childhood SES in the HRS and similarly designed surveys.
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http://dx.doi.org/10.1093/geronb/gbac045 | DOI Listing |
Am J Emerg Med
January 2025
Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.
Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.
Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.
JMIR Med Inform
January 2025
Department of Science and Education, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, China.
Background: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chinese National Nursing Licensing Examination (CNNLE) presents unique challenges for LLMs due to its requirement for both deep domain-specific nursing knowledge and the ability to make complex clinical decisions, which differentiates it from more general medical examinations. However, their potential application in the CNNLE remains unexplored.
View Article and Find Full Text PDFJ Neurosurg Spine
January 2025
1Neuroscience Institute, Carolina Neurosurgery & Spine Associates, Carolinas Healthcare System, Charlotte, North Carolina.
Objective: Cervical spondylotic myelopathy (CSM) shows varying levels of improvement after surgical treatment. While some patients improve soon after surgery, others may take months to years to show any signs of improvement. The goal of this study was to evaluate postoperative improvement, patient-reported outcomes, and patient satisfaction up to 2 years after surgical treatment for CSM, which will help optimize the current treatment strategies and effectively manage patient expectations.
View Article and Find Full Text PDFOtol Neurotol
February 2025
Department of Radiology, Yale School of Medicine, New Haven, CT.
Background: Vestibular schwannoma (VS) is a common intracranial tumor that affects patients' quality of life. Reliable imaging techniques for tumor volume assessment are essential for guiding management decisions. The study aimed to compare the ABC/2 method to the gold standard planimetry method for volumetric assessment of VS.
View Article and Find Full Text PDFOtol Neurotol
February 2025
Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
Objective: To compare the diagnostic capability of Pöschl reformations created from temporal bone CT (TBCT) and high-resolution noncontrast CT head exams (HR-NECTH) to detect and classify superior semicircular canal (SSC) abnormalities.
Study Design: Retrospective case review.
Setting: Tertiary referral center.
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