Background: Most screening colonoscopies require patients to miss work on the day of the procedure. Little is known about whether patients are taking additional time off from work, and the reasons for doing so.
Aims: The purpose of this study was to assess the patterns and reasons for missed work related to screening colonoscopies.
Methods: All outpatient screening colonoscopy procedures performed at an academic medical center over 6 months were reviewed. Exclusions included procedures performed for other indications, patients age 65 or older, procedures performed on Monday or Friday, and patients who were not working. Patients were interviewed by telephone regarding missed work time and the reasons for doing so.
Results: Sixty-eight patients met all inclusion criteria. Thirty-four percent missed work on more than the day of the procedure. Thirty-two percent took the day prior off, 10% took the day after off, and 9% took both days off. The reason for taking the day before the procedure off was uniformly anticipation of the bowel preparation. Of those who took the day after off, 57% did so as a precautionary measure after moderate sedation, while 43% had symptoms.
Conclusions: One third of working patients who undergo mid-week screening colonoscopies miss work on additional days to the procedure day. Unanticipated time missed from work could increase the indirect costs of screening colonoscopy.
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http://dx.doi.org/10.1007/s10620-010-1545-2 | DOI Listing |
PLoS One
January 2025
Computational Media Lab, University of Texas at Austin, Austin, Texas, United States of America.
Instead of turning to emergency phone systems, social media platforms, such as Twitter, have emerged as alternative and sometimes preferred venues for members of the public in the US to communicate during hurricanes and other natural disasters. However, relevant posts are likely to be missed by responders given the volume of content on platforms. Previous work successfully identified relevant posts through machine-learned methods, but depended on human annotators.
View Article and Find Full Text PDFStat Med
February 2025
Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN.
The semi-competing risks data model is a special type of disease-state model that focuses on studying the association between an intermediate event and a terminal event and proves to be a useful tool in modeling disease progression. The study of the semi-competing risk data model not only allows us to evaluate whether a disease episode is related to death but also provides a toolkit to predict death, given that the episode occurred at a certain time. However, the computation of the semi-competing risk models is a numerically challenging task.
View Article and Find Full Text PDFArch Gynecol Obstet
January 2025
Department of Human Pathology, Khoja Akhmet Yassawi International Kazakh-Turkish University, 29 B. Sattarkhanov Str., 161200, Turkestan, Republic of Kazakhstan.
Purpose: The purpose of this study was to identify and determine the frequency and nature of near misses in pregnant women and in the postpartum period.
Methods: In the Turkestan region (Kazakhstan), a retrospective review of cases of critical situations and cases of maternal mortality that occurred during the 12 months of 2022 was conducted. 201 cases of critical conditions in obstetric-gynaecological practice that occurred in 22 regional institutions of all three levels of perinatal care were analysed.
Appl Environ Microbiol
January 2025
Department of Microbiology & Molecular Genetics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
is an opportunistic pathogen with four subspecies: (FNN), (FNV), (FNP), and (FNA), each with distinct disease potentials. Research on fusobacterial pathogenesis has mainly focused on the model strain ATCC 23726 from FNN. However, this narrow focus may overlook significant behaviors of other FNN strains and those from other subspecies, given the genetic and phenotypic diversity within .
View Article and Find Full Text PDFRev Med Chil
November 2024
Universidad Diego Portales, Santiago, Chile.
Unlabelled: The mental health of healthcare workers is strongly affected, and more evidence is needed to determine the dimensions of risk and protection related to the presence of anxious and depressive symptomatology.
Aim: To determine whether working conditions, social support and socio-occupational characteristics are associated with anxious and depressive symptoms reported by healthcare workers during the pandemic in Chile.
Methods: Observational, correlational and cross-sectional study.
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