Objectives: The objectives of this study were to: describe the length of employment of health care providers in rural Alaska; assess whether there are differences in length of employment among community health aides, medical doctors, and nurses; and determine whether provider length of employment is significantly increased following implementation of telemedicine.
Study Design: We conducted a prospective cohort study of length of employment among health professionals in rural Alaska, and identified the cohort based on current employment status of community health aides, medical doctors, and nurses.
Methods: Employment data were collected from four Alaska Native regional health corporations. Kaplan-Meier product-limit survival analysis was used to assess employment length. The Mantel-Haenszel log-rank test was used to test the difference between retention (survival) curves among doctors, nurses, and community health aides for all four regional health corporations combined. Data included provider hire date, termination date, and position title. Fifty seven percent of the data points were right-hand censored.
Results: The community health aides (median (Mdn) = 1186 days) were retained significantly longer than either the doctors (Mdn = 596 days), or the nurses (Mdn = 408 days), who were not significantly different from each other (log-rank chi2 (2, N = 996) = 68.30, p = 0.0001).
Conclusions: Our findings document that community health aides in the region retain their jobs significantly longer than doctors and nurses. Findings highlight the problem of providing an adequate health work force in rural areas.
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http://dx.doi.org/10.3402/ijch.v62i4.17586 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
View Article and Find Full Text PDFThe 18 Workshop on Recent Issues in Bioanalysis (18 WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18 WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.
View Article and Find Full Text PDFBackground/aims: Certain sociodemographic groups are routinely underrepresented in clinical trials, limiting generalisability. Here, we describe the extent to which enriched enrolment approaches yielded a diverse trial population enriched for older age in a randomised controlled trial of a blood-based multi-cancer early detection test (NCT05611632).
Methods: Participants aged 50-77 years were recruited from eight Cancer Alliance regions in England.
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