Literature DB >> 3146043

Calculating fall rates: methodological concerns.

J M Morse1, R M Morse.   

Abstract

The variety of methods used to determine and report patient fall rates has made it difficult for health care providers to compare fall rates between institutions and patient care areas. The two most common methods for calculating fall rates--the patient fall rate and the number of patients-at-risk--as well as alternative strategies using injury rates rather than fall rates are discussed and evaluated. The study recommends a classification system for injuries and suggests that until a universal index for fall rates is used, data be reported in various forms.

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Year:  1988        PMID: 3146043     DOI: 10.1016/s0097-5990(16)30249-4

Source DB:  PubMed          Journal:  QRB Qual Rev Bull        ISSN: 0097-5990


  42 in total

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4.  Analysis of ovarian transcriptomes reveals thousands of novel genes in the insect vector Rhodnius prolixus.

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5.  Identification and characterization of a sulfite reductase gene and new insights regarding the sulfur-containing amino acid metabolism in the basidiomycetous yeast Cryptococcus neoformans.

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6.  The Pre-Implantation Embryo Induces Uterine Inflammatory Reaction in Mice.

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7.  Transcriptome Profiling Reveals the Sexual Dimorphism of Gene Expression Patterns during Gonad Differentiation in the Half-Smooth Tongue Sole (Cynoglossus semilaevis).

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Journal:  Mar Biotechnol (NY)       Date:  2020-09-29       Impact factor: 3.619

8.  The prevalence, evolution and chromatin signatures of plant regulatory elements.

Authors:  Zefu Lu; Alexandre P Marand; William A Ricci; Christina L Ethridge; Xiaoyu Zhang; Robert J Schmitz
Journal:  Nat Plants       Date:  2019-11-18       Impact factor: 15.793

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Journal:  Reprod Sci       Date:  2021-02-24       Impact factor: 3.060

10.  Transcriptomic analysis provides insights into the AUXIN RESPONSE FACTOR 6-mediated repression of nicotine biosynthesis in tobacco (Nicotiana tabacum L.).

Authors:  Mengyang Hu; Hongbo Zhang; Bingwu Wang; Zhongbang Song; Yulong Gao; Cheng Yuan; Changjun Huang; Lu Zhao; Yihan Zhang; Longchang Wang; Congming Zou; Xueyi Sui
Journal:  Plant Mol Biol       Date:  2021-07-24       Impact factor: 4.076

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