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Long-term effects of a computer-based nutritional training program for inpatient hospital care

Westergren, Albert ; Edfors, Ellinor ; Norberg, Erika ; Stubbendorff, Anna LU orcid ; Hedin, Gita ; Wetterstrand, Martin and Hagell, Peter (2017) In Journal of Evaluation in Clinical Practice 23(4). p.797-802
Abstract

RATIONALE: A previous short-term study showed that a computer-based training in eating and nutrition increased the probability for hospital inpatients at undernutrition (UN) risk to receive nutritional treatment and care without increasing overtreatment (providing nutritional treatment to those not at UN risk). The aim of this study was to investigate if a computer-based training in eating and nutrition influences the precision in nutritional treatment and care in a longer-term perspective.

METHOD: A preintervention and postintervention study was conducted with a cross-sectional design at each time points (baseline and 7 months postintervention). Hospital inpatients >18 years old at baseline (2013; n = 201) and follow-up (2014;... (More)

RATIONALE: A previous short-term study showed that a computer-based training in eating and nutrition increased the probability for hospital inpatients at undernutrition (UN) risk to receive nutritional treatment and care without increasing overtreatment (providing nutritional treatment to those not at UN risk). The aim of this study was to investigate if a computer-based training in eating and nutrition influences the precision in nutritional treatment and care in a longer-term perspective.

METHOD: A preintervention and postintervention study was conducted with a cross-sectional design at each time points (baseline and 7 months postintervention). Hospital inpatients >18 years old at baseline (2013; n = 201) and follow-up (2014; n = 209) were included. A computer-based training was implemented during a period of 3 months with 297 (84%) participating registered nurses and nurse assistants. Undernutrition risk was screened for using the minimal eating observation and nutrition form-version II. Nutritional treatment and care was recorded using a standardized protocol.

RESULTS: The share of patients at UN risk that received energy-dense food (+25.2%) and dietician consultations (+22.3%) increased between baseline and follow-up, while fewer received oral nutritional supplements (-18.9%). "Overtreatment" (providing nutritional treatment to those not at UN risk) did not change between baseline and follow-up.

CONCLUSION: The computer-based training increased the provision of energy-dense food and dietician consultations to patients at UN risk without increasing overtreatment of patients without UN risk.

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author
; ; ; ; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Aged, Aged, 80 and over, Computer-Assisted Instruction/methods, Cross-Sectional Studies, Dietary Supplements, Energy Intake, Female, Humans, Inservice Training/methods, Male, Malnutrition/prevention & control, Middle Aged, Nursing Assistants/education, Nursing Staff, Hospital/education, Nutrition Assessment, Referral and Consultation, Risk Assessment
in
Journal of Evaluation in Clinical Practice
volume
23
issue
4
pages
797 - 802
publisher
Wiley-Blackwell
external identifiers
  • scopus:85014525423
  • pmid:28260233
ISSN
1365-2753
DOI
10.1111/jep.12719
language
English
LU publication?
no
additional info
© 2017 John Wiley & Sons, Ltd.
id
32f94256-af3d-4d05-a618-61ae16c08580
date added to LUP
2021-11-22 11:17:52
date last changed
2024-01-20 17:59:30
@article{32f94256-af3d-4d05-a618-61ae16c08580,
  abstract     = {{<p>RATIONALE: A previous short-term study showed that a computer-based training in eating and nutrition increased the probability for hospital inpatients at undernutrition (UN) risk to receive nutritional treatment and care without increasing overtreatment (providing nutritional treatment to those not at UN risk). The aim of this study was to investigate if a computer-based training in eating and nutrition influences the precision in nutritional treatment and care in a longer-term perspective.</p><p>METHOD: A preintervention and postintervention study was conducted with a cross-sectional design at each time points (baseline and 7 months postintervention). Hospital inpatients &gt;18 years old at baseline (2013; n = 201) and follow-up (2014; n = 209) were included. A computer-based training was implemented during a period of 3 months with 297 (84%) participating registered nurses and nurse assistants. Undernutrition risk was screened for using the minimal eating observation and nutrition form-version II. Nutritional treatment and care was recorded using a standardized protocol.</p><p>RESULTS: The share of patients at UN risk that received energy-dense food (+25.2%) and dietician consultations (+22.3%) increased between baseline and follow-up, while fewer received oral nutritional supplements (-18.9%). "Overtreatment" (providing nutritional treatment to those not at UN risk) did not change between baseline and follow-up.</p><p>CONCLUSION: The computer-based training increased the provision of energy-dense food and dietician consultations to patients at UN risk without increasing overtreatment of patients without UN risk.</p>}},
  author       = {{Westergren, Albert and Edfors, Ellinor and Norberg, Erika and Stubbendorff, Anna and Hedin, Gita and Wetterstrand, Martin and Hagell, Peter}},
  issn         = {{1365-2753}},
  keywords     = {{Aged; Aged, 80 and over; Computer-Assisted Instruction/methods; Cross-Sectional Studies; Dietary Supplements; Energy Intake; Female; Humans; Inservice Training/methods; Male; Malnutrition/prevention & control; Middle Aged; Nursing Assistants/education; Nursing Staff, Hospital/education; Nutrition Assessment; Referral and Consultation; Risk Assessment}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{797--802}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Journal of Evaluation in Clinical Practice}},
  title        = {{Long-term effects of a computer-based nutritional training program for inpatient hospital care}},
  url          = {{http://dx.doi.org/10.1111/jep.12719}},
  doi          = {{10.1111/jep.12719}},
  volume       = {{23}},
  year         = {{2017}},
}