Objective: To estimate content validity of the diagnosis Caregiver Role Strain.
Methods: Content validation of the defining characteristics according to Fehring's model was undertaken by 6 Colombian nurses and 9 Brazilian counterparts. The relevance of each defining characteristic for the diagnosis was assessed using 5-point Likert type scale. The Mann-Whitney test was used to estimate differences in assessing the relevance of defining characteristics between Brazilian and Colombian nurses.
Results: From 36 defining characteristics, 22 were identified as major, 13 as secondary and one as irrelevant (rash). The content validity index(sum of weighted averages divided by the total number of defining characteristics) was 0.79, considered adequate.
Conclusion: Most of the defining characteristics were considered relevant to the nursing diagnosis Caregiver Role Strain. These findings reflect consensus among specialists from two different countries in relation to the relevance of the defining characteristics for this diagnosis.
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http://dx.doi.org/10.17533/udea.iee.v34n2a07 | DOI Listing |
Blood
January 2025
Memorial Sloan Kettering Cancer Center, New York, New York, United States.
A mixed phenotype is characteristic of de novo Mixed Phenotype Acute Leukemia (MPAL) but can also be seen in other leukemias. It poses substantial classification and management dilemmas. Herein, we report a large cohort of acute leukemia with a mixed phenotype and define Acute Myeloid Leukemia with Mixed Phenotype (AML-MP) and MPAL as two distinct groups by characterizing the clinical, genetic, and transcriptomic features.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Observatório de Saúde Urbana de Belo Horizonte, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil.
Systematic social observation (SSO) is an objective method of measuring the neighborhood physical and social characteristics. This study aimed to build intraurban indicators using the SSO method and compare them between two slums and their surroundings in a Brazilian capital. The simple indicators were calculated using the ratio estimator method, and grouped into domains.
View Article and Find Full Text PDFTunis Med
January 2025
Department of Ophthalmology, Habib Bourguiba Hospital, Sfax Faculty of Medicine, University of Sfax, Tunisia.
Introduction: Work-related open-globe injuries are a major cause of preventable vision loss worldwide with a significant socioeconomic impact.
Aim: To describe the demographics and clinical characteristics, identify the prognostic factors of work-related open-globe injuries and suggest preventive measures to minimize the incidence of these accidents.
Methods: A retrospective study of patients hospitalized in the Ophthalmology Department of Habib Bourguiba University Hospital, Sfax, Tunisia, for occupational open-globe injuries, between January 2020 and December 2022.
Adv Anat Pathol
January 2025
Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS).
Aggressive B-cell lymphomas are a biologically and clinically very heterogeneous group of tumors that may be related to different stages of B-cell differentiation development. This review aims to summarize recent advances in the understanding of these tumors with a focus on the practical approach to the diagnosis of these entities. We analyze the defining characteristics of the different subtypes of aggressive B-cell lymphomas, including nodal and extranodal diffuse large B-cell lymphoma, virus-associated lymphomas, terminally differentiated B-cell lymphomas, high-grade B-cell lymphomas, and Burkitt lymphoma.
View Article and Find Full Text PDFCancer Med
January 2025
Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China.
Background: Distinctive heterogeneity characterizes diffuse large B-cell lymphoma (DLBCL), one of the most frequent types of non-Hodgkin's lymphoma. Mitochondria have been demonstrated to be closely involved in tumorigenesis and progression, particularly in DLBCL.
Objective: The purposes of this study were to identify the prognostic mitochondria-related genes (MRGs) in DLBCL, and to develop a risk model based on MRGs and machine learning algorithms.
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