The most rigorous and accurate approach to evaluating clinical events in cancer screening studies is to use data obtained through medical record abstraction (MRA). Although MRA is complex, the particulars of the procedure-such as the specific training and quality assurance processes, challenges of implementation, and other factors that influence the quality of abstraction--are usually not described in reports of studies that employed the technique. In this paper, we present the details of MRA activities used in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial, which used MRA to determine primary and secondary outcomes and collect data on other clinical events. We describe triggers of the MRA cycle and the specific tasks that were part of the abstraction process. We also discuss training and certification of abstracting staff, and technical methods and communication procedures used for data quality assurance. We include discussion of challenges faced and lessons learned.

Download full-text PDF

Source
http://dx.doi.org/10.2174/1574887110666150731145421DOI Listing

Publication Analysis

Top Keywords

medical record
8
record abstraction
8
prostate lung
8
lung colorectal
8
colorectal ovarian
8
ovarian plco
8
screening trial
8
clinical events
8
cancer screening
8
quality assurance
8

Similar Publications

Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.

Genet Med

December 2024

Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:

Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.

View Article and Find Full Text PDF

This study assessed the factors militating against the effective implementation of electronic health records (EHR) in Nigeria, the computerization of patients' health records with a lot of benefits including improved patients' satisfaction, improved care processes, reduction of patients' waiting time, and medication errors. Despite these benefits, healthcare organizations are slow to adopt the EHR system. Therefore, the study assessed the factors militating against the effective implementation of the EHR system, the level of awareness of EHR, and the utilization of electronic health records; it also investigated the factors militating against the effective implementation of EHR.

View Article and Find Full Text PDF

Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like permanent neurological damage or death. Early detection using deep learning (DL) and machine learning (ML) models can enhance patient outcomes and mitigate the long-term effects of strokes. The aim of this study is to compare these models, exploring their efficacy in predicting stroke.

View Article and Find Full Text PDF

This study aimed to identify imaging risk factors for spinal cord injury without radiologic abnormalities (SCIWORA) in children. We retrospectively analyzed the medical records and magnetic resonance imaging (MRI) findings of children with SCIWORA admitted to our hospital between January 1, 2012, and September 30, 2022. Univariate and binary logistic regression analyses were used to evaluate the prognostic impact of various factors including MRI type, maximum cross-sectional area of spinal cord injury, injury length, injury signal intensity ratio.

View Article and Find Full Text PDF

Preliminary study of Kinesio Taping in rectus abdominis diastasis treatment and abdominal circumference improvement in postpartum women: a retrospective study.

Sci Rep

December 2024

Department of Obstetrics and Gynecology rehabilitation, West China Second Hospital, Sichuan University, Huaxi Technology Building, 16 Linjiang Middle Road, Wuhou District, Chengdu, 610000, Sichuan, China.

Rectus abdominis diastasis (RAD) is a key factor in the rehabilitation of postpartum women. This study aimed to evaluate the clinical efficacy of Kinesio Taping (KT) in RAD treatment and abdominal changes. The medical records of women with RAD who received KT treatment at the hospital were reviewed.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!