OBJECTIVES: To examine the association between in-hospital mortality and four nurse staffing variables-the ratio of total nursing staff to patients, the proportion of RNs to total nursing staff, the mean years of RN experience, and the percentage of nurses with bachelor of science in nursing degrees. BACKGROUND: Studies suggest that nurse staffing changes affect patient and organizational outcomes, but the impact of nurse staffing on patient outcomes has not been studied sufficiently and the results of the previous studies are equivocal. Additionally, the studies of the relationship between nurse staffing and patient outcomes or the impact of nurse staffing on patient outcomes had not been previously examined in Thailand. METHODS: A retrospective, cross-sectional, observational research design was employed to study the research questions. Data of 2531 patients admitted to seven medical units and 10 surgical units of a 2300-bed university hospital in Thailand was used. All data of patients admitted to this hospital with four common groups of principal diagnoses (diseases of the heart, malignant neoplasms [cancer of all forms], hypertension and cerebrovascular diseases, and pneumonia and other diseases of the lung) was extracted from patient charts and discharge summaries in the calendar year 1999. Nurse staffing variables for each nursing unit in 1999 came from nursing service department databases. Multivariate logistic regression was used to determine the relationship between nurse staffing variables and in-hospital mortality. RESULTS: The findings of this study revealed that the ratio of total nurse staffing to patients was significantly related to in-hospital mortality in both partial and marginal analyses, controlling for patient characteristics. In addition, the ratio of total nursing staff to patients was found to be the best predictor of in-hospital mortality among the four nurse staffing variables, controlling for patient characteristics. The study did not find any significant relationship between in-hospital mortality and three nurse staffing variables (the proportion of RNs to total nursing staff, the mean years of RN experience, and the percentage of bachelor degree prepared nurses) probably due to the low variation of these variables across nursing units or because they may have correlated with other variables. CONCLUSIONS: The findings of this study add to our understanding of the importance of nurse staffing and its relationship to the patient outcome of hospital mortality. Further, the findings also provide information for hospital and nursing administrators to use when restructuring the clinical workforce, revising hospital policies, or making contractual decisions on behalf of nursing and public beneficiaries.
OBJECTIVES: To examine the association between in-hospital mortality and four nurse staffing variables-the ratio of total nursing staff to patients, the proportion of RNs to total nursing staff, the mean years of RN experience, and the percentage of nurses with bachelor of science in nursing degrees. BACKGROUND: Studies suggest that nurse staffing changes affect patient and organizational outcomes, but the impact of nurse staffing on patient outcomes has not been studied sufficiently and the results of the previous studies are equivocal. Additionally, the studies of the relationship between nurse staffing and patient outcomes or the impact of nurse staffing on patient outcomes had not been previously examined in Thailand. METHODS: A retrospective, cross-sectional, observational research design was employed to study the research questions. Data of 2531 patients admitted to seven medical units and 10 surgical units of a 2300-bed university hospital in Thailand was used. All data of patients admitted to this hospital with four common groups of principal diagnoses (diseases of the heart, malignant neoplasms [cancer of all forms], hypertension and cerebrovascular diseases, and pneumonia and other diseases of the lung) was extracted from patient charts and discharge summaries in the calendar year 1999. Nurse staffing variables for each nursing unit in 1999 came from nursing service department databases. Multivariate logistic regression was used to determine the relationship between nurse staffing variables and in-hospital mortality. RESULTS: The findings of this study revealed that the ratio of total nurse staffing to patients was significantly related to in-hospital mortality in both partial and marginal analyses, controlling for patient characteristics. In addition, the ratio of total nursing staff to patients was found to be the best predictor of in-hospital mortality among the four nurse staffing variables, controlling for patient characteristics. The study did not find any significant relationship between in-hospital mortality and three nurse staffing variables (the proportion of RNs to total nursing staff, the mean years of RN experience, and the percentage of bachelor degree prepared nurses) probably due to the low variation of these variables across nursing units or because they may have correlated with other variables. CONCLUSIONS: The findings of this study add to our understanding of the importance of nurse staffing and its relationship to the patient outcome of hospital mortality. Further, the findings also provide information for hospital and nursing administrators to use when restructuring the clinical workforce, revising hospital policies, or making contractual decisions on behalf of nursing and public beneficiaries.
Authors: Danielle Menosi Gualandro; Pai Ching Yu; Bruno Caramelli; André Coelho Marques; Daniela Calderaro; Luciana Savoy Fornari; Claudio Pinho; Alina Coutinho Rodrigues Feitosa; Carisi Anne Polanczyk; Carlos Eduardo Rochitte; Carlos Jardim; Carolina L Z Vieira; Debora Y M Nakamura; Denise Iezzi; Dirk Schreen; Eduardo Leal Adam; Elbio Antonio D'Amico; Emerson Q de Lima; Emmanuel de Almeida Burdmann; Enrique Indalecio Pachón Mateo; Fabiana Goulart Marcondes Braga; Fabio S Machado; Flavio J de Paula; Gabriel Assis Lopes do Carmo; Gilson Soares Feitosa-Filho; Gustavo Faibischew Prado; Heno Ferreira Lopes; João R C Fernandes; José J G de Lima; Luciana Sacilotto; Luciano Ferreira Drager; Luciano Janussi Vacanti; Luis Eduardo Paim Rohde; Luis F L Prada; Luis Henrique Wolff Gowdak; Marcelo Luiz Campos Vieira; Maristela Camargo Monachini; Milena Frota Macatrão-Costa; Milena Ribeiro Paixão; Mucio Tavares de Oliveira; Patricia Cury; Paula R Villaça; Pedro Silvio Farsky; Rinaldo F Siciliano; Roberto Henrique Heinisch; Rogerio Souza; Sandra F M Gualandro; Tarso Augusto Duenhas Accorsi; Wilson Mathias Journal: Arq Bras Cardiol Date: 2017 Jan-Feb Impact factor: 2.000
Authors: André Arpad Faludi; Maria Cristina de Oliveira Izar; José Francisco Kerr Saraiva; Ana Paula Marte Chacra; Henrique Tria Bianco; Abrahão Afiune; Adriana Bertolami; Alexandre C Pereira; Ana Maria Lottenberg; Andrei C Sposito; Antonio Carlos Palandri Chagas; Antonio Casella; Antônio Felipe Simão; Aristóteles Comte de Alencar; Bruno Caramelli; Carlos Costa Magalhães; Carlos Eduardo Negrão; Carlos Eduardo Dos Santos Ferreira; Carlos Scherr; Claudine Maria Alves Feio; Cristiane Kovacs; Daniel Branco de Araújo; Daniel Magnoni; Daniela Calderaro; Danielle Menosi Gualandro; Edgard Pessoa de Mello; Elizabeth Regina Giunco Alexandre; Emília Inoue Sato; Emilio Hideyuki Moriguchi; Fabiana Hanna Rached; Fábio César Dos Santos; Fernando Henpin Yue Cesena; Francisco Antonio Helfenstein Fonseca; Henrique Andrade Rodrigues da Fonseca; Hermes Toros Xavier; Isabela Cardoso Pimentel Mota; Isabela de Carlos Back Giuliano; Jaqueline Scholz Issa; Jayme Diament; João Bosco Pesquero; José Ernesto Dos Santos; José Rocha Faria; José Xavier de Melo; Juliana Tieko Kato; Kerginaldo Paulo Torres; Marcelo Chiara Bertolami; Marcelo Heitor Vieira Assad; Márcio Hiroshi Miname; Marileia Scartezini; Neusa Assumpta Forti; Otávio Rizzi Coelho; Raul Cavalcante Maranhão; Raul Dias Dos Santos; Renato Jorge Alves; Roberta Lara Cassani; Roberto Tadeu Barcellos Betti; Tales de Carvalho; Tânia Leme da Rocha Martinez; Viviane Zorzanelli Rocha Giraldez; Wilson Salgado Journal: Arq Bras Cardiol Date: 2017-07 Impact factor: 2.000
Authors: William Checkley; Greg S Martin; Samuel M Brown; Steven Y Chang; Ousama Dabbagh; Richard D Fremont; Timothy D Girard; Todd W Rice; Michael D Howell; Steven B Johnson; James O'Brien; Pauline K Park; Stephen M Pastores; Namrata T Patil; Anthony P Pietropaoli; Maryann Putman; Leo Rotello; Jonathan Siner; Sahul Sajid; David J Murphy; Jonathan E Sevransky Journal: Crit Care Med Date: 2014-02 Impact factor: 7.598