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Identification of risk factors for enteral feeding intolerance screening in critically ill patients
by
Xu, Lei
, Chen, Ting
, Yang, Wen-Qun
, Liang, Ze-Ping
, Wang, Ting
, Zhu, Jing-Ci
in
Critical care
/ Critical Illness
/ Delphi Technique
/ Enteral nutrition
/ Enteral Nutrition - adverse effects
/ Glucose
/ Health risk assessment
/ Humans
/ Nutrition
/ Original
/ Physiology
/ Risk Factors
2017
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Identification of risk factors for enteral feeding intolerance screening in critically ill patients
by
Xu, Lei
, Chen, Ting
, Yang, Wen-Qun
, Liang, Ze-Ping
, Wang, Ting
, Zhu, Jing-Ci
in
Critical care
/ Critical Illness
/ Delphi Technique
/ Enteral nutrition
/ Enteral Nutrition - adverse effects
/ Glucose
/ Health risk assessment
/ Humans
/ Nutrition
/ Original
/ Physiology
/ Risk Factors
2017
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Do you wish to request the book?
Identification of risk factors for enteral feeding intolerance screening in critically ill patients
by
Xu, Lei
, Chen, Ting
, Yang, Wen-Qun
, Liang, Ze-Ping
, Wang, Ting
, Zhu, Jing-Ci
in
Critical care
/ Critical Illness
/ Delphi Technique
/ Enteral nutrition
/ Enteral Nutrition - adverse effects
/ Glucose
/ Health risk assessment
/ Humans
/ Nutrition
/ Original
/ Physiology
/ Risk Factors
2017
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Identification of risk factors for enteral feeding intolerance screening in critically ill patients
Journal Article
Identification of risk factors for enteral feeding intolerance screening in critically ill patients
2017
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Overview
To identify risk factors for enteral feeding intolerance screening in critically ill patients, thereby, provide some reference for healthcare staff to assess the risk of feeding intolerance, and lay the foundation for future scale development. Methods: This study used a mixed methodology, including a literature review, semi-structured interviews, the Delphi technique, and the analytic hierarchy process. We used the literature review and semi-structured interviews (n=22) to draft a preliminarily item pool for feeding intolerance, Delphi technique (n=30) to screen and determine the items, and the analytic hierarchy process to calculate the weight of each item. The study was conducted between June 2014 and September 2015 in Daping Hospital, Third Military Medical University, Chongqing, China. Results. Twenty-three risk factors were selected for the scale, including 5 dimensions. We assigned a weight to each item according to their impact on the feeding intolerance, with a higher score indicating a greater impact. The weight of each dimension was decreasing as follows: patient conditions, weight score equals 42; general conditions, weight score equals 23; gastrointestinal functions, weight score equals 15; biochemical indexes, weight score equals 14; and treatment measures, weight score equals 6. Conclusion. Developed list of risk factors based on literature review, survey among health care professionals and expert consensus should provide a basis for future studies assessing the risk of feeding intolerance in critically ill patients.
Publisher
Prince Sultan Military Medical City (PSMMC),Saudi Medical Journal
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