The Minimum Data Set (MDS) for nursing home (NH) resident assessment, designed to assess elders functional status and care needs, exemplifies how the information needs of clinical practice are congruent with those of research. Building on a review of the published literature, this article describes the development of the MDS, its reliability and validity testing, as well as the variety of different policy and research uses to which it has been applied. Interrater reliability of items and internal consistency of MDS summary scales is generally good to excellent. Validation studies reveal good correspondence to research quality instruments for cognition, activities of daily living, and diagnoses with more variable results for vision, pain, mood, and behavior scales. To date, no consistent evidence suggests that applications of MDS data for case-mix reimbursement and quality indicator monitoring systematically bias the data. Although facility variation in data quality could compromise some applications, creation of the MDS as a clinical tool for care planning provides an example of how assessment tools with clinical use can be used in administrative databases for research and policy applications.
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http://dx.doi.org/10.1097/01.mlr.0000120104.01232.5e | DOI Listing |
Cien Saude Colet
January 2025
Departamento de Química e Energia. Faculdade de Engenharia e Ciências, UNESP/Campus Guaratinguetá. Guaratinguetá SP Brasil.
This study evaluated the role of temperature and fine particulate matter in hospitalizations of children living in Cuiabá-MT, obtained from DATASUS, between 01/01/2016 and 12/31/2018. Daily concentrations of the pollutant fine particulate matter were estimated using the CAMS mathematical model, made available by CPTEC. Diagnoses of tracheitis and laryngitis, pneumonia, bronchitis, bronchiolitis and asthma were included.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Faculdade de Saúde Pública, Universidade de São Paulo. Av. Dr. Arnaldo 715, Cerqueira César. 01246-904 São Paulo SP Brasil.
The Ministry of Health recommends a minimum appointment schedule in childcare to monitor growth and development. The objective was to analyze the adequacy of the minimum appointment schedule for children under 5 years of age, with at least one anthropometric follow-up registered with the Food and Nutrition Surveillance System (SISVAN) between 2008 and 2020. The sample size comprised 23,453,620 children under the age of 5, and 103,773,311 records.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Santa Casa de Misericórdia de Juiz de Fora, Juiz de Fora, Brasil.
Despite the relevance of kidney transplantation, the supply of organs and the process for inclusion in its waiting list still represent obstacles. This study aimed to analyze the performance of dialysis centers in referring patients for pre-kidney transplant evaluation and inclusion in the waiting list of incident dialysis patients from 2015 to 2019 in the state of Minas Gerais, Brazil. This retrospective cohort study sampled 23,297 records of patients who underwent dialysis therapy in public or philanthropic institutions or who had their treatment funded by the Brazilian Unified National Health System in private clinics.
View Article and Find Full Text PDFIntegr Environ Assess Manag
January 2025
Office of Chemical Safety Office Pollution Prevention, Office of Pollution Prevention and Toxics, US Environmental Protection Agency, Washington, DC, United States.
The U.S. Environmental Protection Agency is committed to the implementation of new approach methodologies (NAMs) to enhance the scientific basis for chemical hazard assessments.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.
Many machine learning techniques have been used to construct gene regulatory networks (GRNs) through precision matrix that considers conditional independence among genes, and finally produces sparse version of GRNs. This construction can be improved using the auxiliary information like gene expression profile of the related species or gene markers. To reach out this goal, we apply a generalized linear model (GLM) in first step and later a penalized maximum likelihood to construct the gene regulatory network using Glasso technique for the residuals of a multi-level multivariate GLM among the gene expressions of one species as a multi-levels response variable and the gene expression of related species as a multivariate covariates.
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