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1.
Emerg Radiol ; 31(3): 429-434, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38581613

ABSTRACT

Overnight radiology (ONR) is necessary for providing timely patient care but poses unique professional and personal challenges to the radiologists. Maintaining a sustainable, long-term overnight radiology program hinges on the retention of radiologists who grasp the institutional workflow and can adeptly navigate inherent disruptions while consistently delivering high-quality patient care. Design of radiology shifts can significantly impact the performance and well-being of radiologists, with downstream implications for patient care and risk management. We provide a narrative review of literature to make recommendations for optimally designing ONR shifts, with a focus on professional and personal challenges pertinent to overnight radiologists and system-based risk mitigation strategies.


Subject(s)
Radiology Department, Hospital , Humans , Radiology Department, Hospital/organization & administration , Workflow , Radiologists , Personnel Staffing and Scheduling , Risk Management
2.
Value Health ; 26(9): 1345-1352, 2023 09.
Article in English | MEDLINE | ID: mdl-37244417

ABSTRACT

OBJECTIVES: This study aimed to evaluate the diversity of clinical trials informing assessments conducted by the Institute for Clinical and Economic Review. METHODS: This was a cross-sectional study of pivotal trials included in completed Institute for Clinical and Economic Review assessments over 5 years (2017-2021). Representation of racial/ethnic minority groups, females, and older adults was compared with the disease-specific and US population, using a relative representation cutoff of 0.8 for adequate representation. RESULTS: A total of 208 trials, evaluating 112 interventions for 31 unique conditions, were examined. Race/ethnicity data were inconsistently reported. The median participant-to-disease representative ratio (PDRR) for Blacks/African Americans (0.43 [interquartile range (IQR) 0.24-0.75]), American Indians/Alaska Natives (0.37 [IQR 0.09-0.77]), and Hispanics/Latinos (0.79 [IQR 0.30-1.22]) were below the adequate representation cutoff. In contrast, Whites (1.06 [IQR 0.92-1.2]), Asians (1.71 [IQR 0.50-3.75]), and Native Hawaiian/Other Pacific Islanders (1.61 [IQR 0.77-2.81]) were adequately represented. Findings were similar when compared with the US Census, except for Native Hawaiian/Pacific Islanders, which was substantially worse. Relative to all trials, a higher proportion of US-based trials adequately represented Blacks/African Americans (61% vs 23%, P < .0001) and Hispanics/Latinos (68% vs 50%; P = .047), but a lower proportion adequately represented Asians (15% vs 67%, P < .0001). Females were adequately represented in 74% of trials (PDRR: 1.02 [IQR 0.79-1.14]). Nevertheless, older adults were adequately represented in only 20% of trials (PDRR: 0.30 [IQR 0.13-0.64]). CONCLUSIONS: The representation of racial/ethnic minorities and older adults was inadequate. Efforts are needed to enhance the diversity of clinical trials. Standardized and transparent evaluation of trial diversity should be part of the health technology assessment process.


Subject(s)
Ethnicity , Technology Assessment, Biomedical , Aged , Female , Humans , Cross-Sectional Studies , Minority Groups , United States , White , Clinical Trials as Topic
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