RESUMO
It appears that the implementation and use of a bedside electronic medical record in nursing homes can be a strategy to improve quality of care. Staff like using the bedside electronic medical record and believe it is beneficial. Information gleaned from this qualitative evaluation of four nursing homes that implemented complete electronic medical records and participated in a larger evaluation of the use of an electronic medical record will be useful to other nursing homes as they consider implementing bedside computing technology. Nursing home owners and administrators must be prepared to undertake a major change requiring many months of planning to successfully implement. Direct care staff will need support as they learn to use the equipment, especially for the first 6 to 12 months after implementation. There should be a careful plan for continuing education opportunities so that staff learn to properly use the software and can benefit from the technology. After 12 to 24 months, almost no one wants to return to the era of paper charting.
Assuntos
Registros Eletrônicos de Saúde , Casas de Saúde/organização & administração , Qualidade da Assistência à Saúde , Centers for Medicare and Medicaid Services, U.S. , Casas de Saúde/normas , Estados UnidosRESUMO
PURPOSE: To evaluate a range of staffing measures and data sources for long-term use in public reporting of staffing as a quality measure in nursing homes. METHOD: Eighty-seven research articles and government documents published from 1975 to 2003 were reviewed and summarized. Relevant content was extracted and organized around 3 themes: staffing measures, quality measures, and risk adjustment variables. Data sources for staffing information were also identified. RESULTS: There is a proven association between higher total staffing levels (especially licensed staff) and improved quality of care. Studies also indicate a significant relationship between high turnover and poor resident outcomes. Functional ability, pressure ulcers, and weight loss are the most sensitive quality indicators linked to staffing. The best national data sources for staffing and quality include the Minimum Data Set (MDS) and On-line Survey and Certification Automated Records (OSCAR). However, the accuracy of this self-reported information requires further reliability and validity testing. CONCLUSIONS: A nationwide instrument needs to be developed to accurately measure staff turnover. Large-scale studies using payroll data to measure staff retention and its impact on resident outcomes are recommended. Future research should use the most nurse-sensitive quality indicators such as pressure ulcers, functional status, and weight loss.
Assuntos
Coleta de Dados/métodos , Casas de Saúde/organização & administração , Admissão e Escalonamento de Pessoal/organização & administração , Indicadores de Qualidade em Assistência à Saúde/organização & administração , Qualidade da Assistência à Saúde/organização & administração , Atividades Cotidianas , Idoso , Coleta de Dados/normas , Grupos Diagnósticos Relacionados/organização & administração , Avaliação Geriátrica , Pesquisa sobre Serviços de Saúde , Humanos , Pesquisa em Administração de Enfermagem , Assistentes de Enfermagem/provisão & distribuição , Recursos Humanos de Enfermagem/provisão & distribuição , Enfermagem Prática , Avaliação de Resultados em Cuidados de Saúde/organização & administração , Úlcera por Pressão/epidemiologia , Úlcera por Pressão/prevenção & controle , Reprodutibilidade dos Testes , Projetos de Pesquisa , Risco Ajustado/organização & administração , Sensibilidade e Especificidade , Estados Unidos , Redução de Peso , Recursos HumanosAssuntos
Enfermagem Geriátrica/normas , Assistência de Longa Duração/organização & administração , Assistência de Longa Duração/normas , Assistência Centrada no Paciente/organização & administração , Assistência Centrada no Paciente/normas , Idoso , Humanos , Casas de Saúde/organização & administração , Casas de Saúde/normas , Cultura OrganizacionalRESUMO
The size of the world's elderly population is growing at a rapid rate, with the 60 and older population of Europe and North America outpacing total population growth in recent decades. As life expectancy lengthens, the quality of that life becomes an issue of importance to nursing practitioners and nursing educators. Developed countries and developing countries will be faced with different challenges when determining service delivery models for their aging populations. Innovation in delivery models and comprehensive and longitudinal data are needed if the goal of aging in place is to be achieved.