To provide a scientific rationale for choosing an optimal stroke surveillance method, the authors compared active surveillance with passive surveillance. The methods involved ascertaining cerebrovascular events that occurred in Nueces County, Texas, during calendar year 2000. Active methods utilized screening of hospital and emergency department logs and routine visiting of hospital wards and out-of-hospital sources. Passive means relied on International Classification of Diseases, Ninth Revision (ICD-9), discharge codes for case ascertainment. Cases were validated by fellowship-trained stroke neurologists on the basis of published criteria. The results showed that, of the 6,236 events identified through both active and passive surveillance, 802 were validated to be cerebrovascular events. When passive surveillance alone was used, 209 (26.1%) cases were missed, including 73 (9.1%) cases involving hospital admission and 136 (17.0%) out-of-hospital strokes. Through active surveillance alone, 57 (7.1%) cases were missed. The positive predictive value of active surveillance was 12.2%. Among the 2,099 patients admitted to a hospital, passive surveillance using ICD-9 codes missed 73 cases of cerebrovascular disease and mistakenly included 222 noncases. There were 57 admitted hospital cases missed by active surveillance, including 13 not recognized because of human error. This study provided a quantitative means of assessing the utility of active and passive surveillance for cerebrovascular disease. More uniform surveillance methods would allow comparisons across studies and communities.
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http://dx.doi.org/10.1093/aje/kwf152 | DOI Listing |
JCO Clin Cancer Inform
January 2025
School of Nursing, University of Alabama at Birmingham, Birmingham, AL.
Purpose: Modeling passively collected smartphone sensor data (called digital phenotyping) has the potential to detect distress among family caregivers and patients with advanced cancer and could lead to novel clinical models of cancer care. The purpose of this study was to assess the feasibility and acceptability of collecting passive smartphone data from family caregivers and their care recipients with advanced cancer over 24 weeks.
Methods: This was an observational feasibility study.
Appl Clin Inform
January 2025
Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
Background: Nephrotoxin exposure may worsen kidney injury and impair kidney recovery if continued in patients with acute kidney injury (AKI).
Objectives: This study aimed to determine if tiered implementation of a clinical decision support system (CDSS) would reduce nephrotoxin use in cardiac surgery patients with AKI.
Methods: We assessed patients admitted to the cardiac surgery intensive care unit at a tertiary care center from January 2020 to December 2021, and August 2022 to September 2023.
J Community Psychol
January 2025
Nursing Faculty, Public Health Nursing Department, Atatürk University, Yakutiye Erzurum, Turkey.
This study aimed to investigate the resilience, stress levels, coping styles, and the impact of related factors among nurses working in primary healthcare during the COVID-19 pandemic. Designed as a cross-sectional study, the research included 86 volunteer nurses employed in primary healthcare institutions in Bitlis provincial center and its districts in Turkey. Data were collected between March and June 2022 using a sociodemographic information form, the Resilience Scale for Adults, and the Ways of Coping Questionnaire.
View Article and Find Full Text PDFFront Public Health
December 2024
School of Economics and Management, Huainan Normal University, Huainan, China.
China's "14th Five-Year Plan" proposes the construction of a "Digital China," posing the challenge of digital transformation to coal mining enterprises. It is critical to compare the effectiveness of investing in digital devices with that of human capital. This study establishes a structural equation model based on the 'regulation-situation-behavior' theoretical framework.
View Article and Find Full Text PDFSci Total Environ
December 2024
TZW: DVGW-Technologiezentrum Wasser, Karlsruher Str. 84, D-76139 Karlsruhe, Germany. Electronic address:
As a lesson learned from the COVID-19 pandemic, wastewater-based epidemiology was recognised and used as an important method for surveillance and early detection of SARS-CoV-2. As a result, consideration of wastewater as a source of public health information has gained new prominence, and there is consensus that similar approaches can be used to detect the spread of other viral pathogens or antimicrobial resistance (AMR) in populations. However, the implementation of wastewater monitoring poses challenges in terms of obtaining representative and meaningful samples.
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