يعرض 1 - 20 نتائج من 143 نتيجة بحث عن '"Hughes, Ronda G."', وقت الاستعلام: 0.59s تنقيح النتائج
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    المصدر: The American Journal of Nursing, 2005 May 01. 105(5), 79-92.

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    المؤلفون: Hughes, Ronda G.

    المصدر: The American Journal of Nursing, 2004 May 01. 104(5), 81-84.

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    وصف الملف: application/pdf

    Relation: Yakusheva, Olga; Bang, James T.; Hughes, Ronda G.; Bobay, Kathleen L.; Costa, Linda; Weiss, Marianne E. (2022). "Nonlinear association of nurse staffing and readmissions uncovered in machine learning analysis." Health Services Research 57(2): 311-321.; https://hdl.handle.net/2027.42/172056; Health Services Research; Tang A, Foong J. A qualitative evaluation of random forest feature learning. In: Herawan T, Ghazali R, Deris M, editors. Recent Advances on Soft Computing and Data Mining Advances in Intelligent Systems and Computing; New York City, NY: Springer; 2014. p. 359 – 68.; Mark BA, Harless DW, McCue M, Xu Y. A longitudinal examination of hospital registered nurse staffing and quality of care. Health Serv Res. 2004; 39 ( 2 ): 279 ‐ 300.; Lankshear AJ, Sheldon TA, Maynard A. Nurse staffing and healthcare outcomes: a systematic review of the international research evidence. ANS Adv Nurs Sci. 2005; 28 ( 2 ): 163 ‐ 174.; Needleman J, Shekelle PG. More ward nursing staff improves inpatient outcomes, but how much is enough? BMJ Qual Saf. 2019; 28 ( 8 ): 603 ‐ 605.; Donabedian A. Evaluating the quality of medical care. 1966. Milbank Q. 2005; 83 ( 4 ): 691 ‐ 729.; Mitchell PH, Ferketich S, Jennings BM. Quality health outcomes model. American Academy of Nursing expert panel on quality health care. Image J Nurs Sch. 1998; 30 ( 1 ): 43 ‐ 46.; Craig C, Harris R. Total productivity measurement at the firm level. Sloan Manage Rev. 1973; 1973: 13 ‐ 28.; AHA Annual Survey American Hospital Association. Chicago, IL: American Hospital Association; 2020.; Bobay K, Bahr SJ, Weiss ME, Hughes R, Costa L. Models of discharge Care in Magnet® hospitals. J Nurs Adm. 2015; 45 ( 10 ): 485 ‐ 491.; James G, Witten D, Hastie T, Tibshirani R. An Introduction to Statistical Learning. New York, NY: Springer; 2013.; Biecek P. DALEX: Explainers for Complex Predictive Models in R. Journal of Machine Learning Research. 2018; 19: 1 ‐ 15. https://www.jmlr.org/papers/volume19/18-416/18-416.pdf.; Kuhn M, Wing J, Weston S, Williams A, Keefer C, Engelhardt A, et al. Caret: Classification and Regression Training. R Package Version 60‐84. Vienna, Austria: Institute for Statistics and Mathematics, Vienna University for Economics and Business; 2019. https://CRAN.R-project.org/package=caret.; Kong Y, Yu TA. Deep neural network model using random forest to extract feature representation for gene expression data classification. Sci Rep. 2018; 8: 16477.; Vens C, Costa F, eds. Random forest based feature induction. Paper presented at: IEEE 11th International Conference on Data Mining (ICDM); 2011: Vancouver, Canada.; Vieira SM, Kaymak U, Sousa JMC. Cohen’s kappa coefficient as a performance measure for feature selection. Barcelona, Spain: World Congress on Computational Intelligence; 2010. https://ieeexplore.ieee.org/document/5584447.; Mold JW, Hamm RM, McCarthy LH. The law of diminishing returns in clinical medicine: how much risk reduction is enough? J Am Board Fam Med. 2010; 23 ( 3 ): 371 ‐ 375.; Badgery‐Parker T, Pearson SA, Dunn S, Elshaug AG. Measuring hospital‐acquired complications associated with low‐value care. JAMA Intern Med. 2019; 179 ( 4 ): 499 ‐ 505.; Korenstein D, Chimonas S, Barrow B, Keyhani S, Troy A, Lipitz‐Snyderman A. Development of a conceptual map of negative consequences for patients of overuse of medical tests and treatments. JAMA Intern Med. 2018; 178 ( 10 ): 1401 ‐ 1407.; Weiss ME, Bobay KL, Bahr SJ, Costa L, Hughes RG, Holland DE. A model for hospital discharge preparation: from case management to care transition. J Nurs Adm. 2015; 45 ( 12 ): 606 ‐ 614.; Chen YC, Guo YL, Chin WS, Cheng NY, Ho JJ, Shiao JS. Patient‐nurse ratio is related to Nurses’ intention to leave their job through mediating factors of burnout and job dissatisfaction. Int J Environ Res Public Health. 2019; 16 ( 23 ): 1 ‐ 14.; Taking Action against Clinician Burnout: a Systems Approach to Professional Well‐Being: Consensus Study Report. Washington, DC: National Academies Press; 2019.; Jiang HJ, Stocks C, Wong CJ. Disparities between two common data sources on hospital nurse staffing. J Nurs Scholarsh. 2006; 38 ( 2 ): 187 ‐ 193.; Friese CR, Xia R, Ghaferi A, Birkmeyer JD, Banerjee M. Hospitals in ‘Magnet’ program show better patient outcomes on mortality measures compared to non‐‘Magnet’ hospitals. Health Aff (Millwood). 2015; 34 ( 6 ): 986 ‐ 992.; Statistical Brief #248. Healthcare Cost and Utilization Project (HCUP). Rockville, MD: Agency for Healthcare Research and Quality; 2019.; Kelly LA, McHugh MD, Aiken LH. Nurse outcomes in magnet® and non‐magnet hospitals. J Nurs Adm. 2012; 42 ( 10 suppl ): S44 ‐ S49.; Hamadi HY, Martinez D, Palenzuela J, Spaulding AC. Magnet hospitals and 30‐day readmission and mortality rates for Medicare beneficiaries. Med Care. 2021; 59 ( 1 ): 6 ‐ 12.; Jayawardhana J, Welton JM, Lindrooth RC. Is there a business case for magnet hospitals? Estimates of the cost and revenue implications of becoming a magnet. Med Care. 2014; 52 ( 5 ): 400 ‐ 406.; Giuliano KK, Danesh V, Funk M. The relationship between nurse staffing and 30‐day readmission for adults with heart failure. J Nurs Adm. 2016; 46 ( 1 ): 25 ‐ 29.; McHugh M, Ma C. Hospital nursing and 30‐day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia. J Nurs Adm. 2013; 43 ( 10 suppl ): S11 ‐ S18.; Weiss ME, Yakusheva O, Bobay KL. Quality and cost analysis of nurse staffing, discharge preparation, and postdischarge utilization. Health Serv Res. 2011; 46 ( 5 ): 1473 ‐ 1494.; McHugh MD, Berez J, Small DS. Hospitals with higher nurse staffing had lower odds of readmissions penalties than hospitals with lower staffing. Health Aff (Millwood). 2013; 32 ( 10 ): 1740 ‐ 1747.; Aiken LH, Clarke SP, Sloane DM, Sochalski J, Silber JH. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA. 2002; 288 ( 16 ): 1987 ‐ 1993.; Aiken LH, Sloane DM, Bruyneel L, et al. Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study. Lancet. 2014; 383 ( 9931 ): 1824 ‐ 1830.; Griffiths P, Maruotti A, Recio Saucedo A, et al. Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study. BMJ Qual Saf. 2019; 28 ( 8 ): 609 ‐ 617.; Needleman J, Buerhaus P, Pankratz VS, Leibson CL, Stevens SR, Harris M. Nurse staffing and inpatient hospital mortality. N Engl J Med. 2011; 364 ( 11 ): 1037 ‐ 1045.; Kane RL, Shamliyan TA, Mueller C, Duval S, Wilt TJ. The association of registered nurse staffing levels and patient outcomes: systematic review and meta‐analysis. Med Care. 2007; 45 ( 12 ): 1195 ‐ 1204.; Needleman J, Buerhaus P, Mattke S, Stewart M, Zelevinsky K. Nurse‐staffing levels and the quality of care in hospitals. N Engl J Med. 2002; 346 ( 22 ): 1715 ‐ 1722.; Needleman J, Buerhaus PI, Stewart M, Zelevinsky K, Mattke S. Nurse staffing in hospitals: is there a business case for quality? Health Aff (Millwood). 2006; 25 ( 1 ): 204 ‐ 211.; Oppel EM, Young GJ. Nurse staffing patterns and patient experience of care: an empirical analysis of U.S. hospitals. Health Serv Res. 2018; 53 ( 3 ): 1799 ‐ 1818.; Blegen MA, Goode CJ, Reed L. Nurse staffing and patient outcomes. Nurs Res. 1998; 47 ( 1 ): 43 ‐ 50.

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    المؤلفون: Hughes, Ronda G., Ortiz, Eduardo

    المصدر: The American Journal of Nursing, 2005 Mar 01. 105(3), 14-24.

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    المصدر: The American Journal of Nursing, 2004 Jul 01. 104(7), 15-15.

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    المؤلفون: Hughes, Ronda G., Rogers, Ann E.

    المصدر: The American Journal of Nursing, 2004 Mar 01. 104(3), 36-38.

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