Short-term effects of a computer-based nutritional nursing training program for inpatient hospital care
Westergren, Albert ; Edfors, Ellinor ; Norberg, Erika ; Stubbendorff, Anna LU
; Hedin, Gita
LU
; Wetterstrand, Martin
and Hagell, Peter
(2016)
In Journal of Evaluation in Clinical Practice
22(5).
p.799-807
- Abstract
RATIONALE: This study aimed to explore whether a computer-based training in eating and nutrition for hospital nursing staff can influence the precision in nutritional treatment and care.
METHOD: A pre-intervention and post-intervention study was conducted with a cross-sectional design at each time point. The settings were one intervention (IH) and two control hospitals (CH1 and CH2). Hospital inpatients >18 years old at baseline (2012; n = 409) and follow-up (2014; n = 456) were included. The computer-based training was implemented during a period of 3 months in the IH with 297 (84%) participating registered nurses and nurse assistants. Nutritional risk was screened for using the Minimal Eating Observation and Nutrition Form.... (More)
RATIONALE: This study aimed to explore whether a computer-based training in eating and nutrition for hospital nursing staff can influence the precision in nutritional treatment and care.
METHOD: A pre-intervention and post-intervention study was conducted with a cross-sectional design at each time point. The settings were one intervention (IH) and two control hospitals (CH1 and CH2). Hospital inpatients >18 years old at baseline (2012; n = 409) and follow-up (2014; n = 456) were included. The computer-based training was implemented during a period of 3 months in the IH with 297 (84%) participating registered nurses and nurse assistants. Nutritional risk was screened for using the Minimal Eating Observation and Nutrition Form. Nutritional treatment and care was recorded using a standardized protocol
RESULTS: In the IH, there was an increase in the share of patients at UN risk that received energy-dense food (+16.7%) and dietician consultations (+17.3%) between baseline and follow-up, while fewer received feeding assistance (-16.2%). There was an increase in the share of patients at UN risk that received energy-dense food (+19.5%), a decrease in oral nutritional supplements (-30.5%) and food-registrations (-30.6%) in CH1, whereas there were no changes in CH2. 'Overtreatment' (providing nutritional treatment to those not at UN risk) was significantly higher in CH2 (52.7%) than in CH1 (14.3%) and in the IH (25.2%) at follow-up.
CONCLUSION: The computer-based training seemed to increase the probability for patients at UN risk in the IH to receive nutritional treatment without increasing overtreatment.
(Less)
- author
- Westergren, Albert
; Edfors, Ellinor
; Norberg, Erika
; Stubbendorff, Anna
LU
; Hedin, Gita
LU
; Wetterstrand, Martin
and Hagell, Peter
- publishing date
- 2016-10
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Aged, Aged, 80 and over, Computer-Assisted Instruction, Cross-Sectional Studies, Education, Nursing/methods, Female, Humans, Inpatients, Male, Nutrition Assessment, Nutrition Disorders/prevention & control, Program Evaluation
- in
- Journal of Evaluation in Clinical Practice
- volume
- 22
- issue
- 5
- pages
- 799 - 807
- publisher
- Wiley-Blackwell
- external identifiers
-
- pmid:27133949
- scopus:84990228912
- ISSN
- 1365-2753
- DOI
- 10.1111/jep.12545
- language
- English
- LU publication?
- no
- additional info
- © 2016 John Wiley & Sons, Ltd.
- id
- c85e45cb-4dff-4426-84a3-f61e53a4e7d8
- date added to LUP
- 2021-11-22 11:16:35
- date last changed
- 2024-03-08 22:53:50
@article{c85e45cb-4dff-4426-84a3-f61e53a4e7d8,
abstract = {{<p>RATIONALE: This study aimed to explore whether a computer-based training in eating and nutrition for hospital nursing staff can influence the precision in nutritional treatment and care.</p><p>METHOD: A pre-intervention and post-intervention study was conducted with a cross-sectional design at each time point. The settings were one intervention (IH) and two control hospitals (CH1 and CH2). Hospital inpatients >18 years old at baseline (2012; n = 409) and follow-up (2014; n = 456) were included. The computer-based training was implemented during a period of 3 months in the IH with 297 (84%) participating registered nurses and nurse assistants. Nutritional risk was screened for using the Minimal Eating Observation and Nutrition Form. Nutritional treatment and care was recorded using a standardized protocol</p><p>RESULTS: In the IH, there was an increase in the share of patients at UN risk that received energy-dense food (+16.7%) and dietician consultations (+17.3%) between baseline and follow-up, while fewer received feeding assistance (-16.2%). There was an increase in the share of patients at UN risk that received energy-dense food (+19.5%), a decrease in oral nutritional supplements (-30.5%) and food-registrations (-30.6%) in CH1, whereas there were no changes in CH2. 'Overtreatment' (providing nutritional treatment to those not at UN risk) was significantly higher in CH2 (52.7%) than in CH1 (14.3%) and in the IH (25.2%) at follow-up.</p><p>CONCLUSION: The computer-based training seemed to increase the probability for patients at UN risk in the IH to receive nutritional treatment without increasing overtreatment.</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; Cross-Sectional Studies; Education, Nursing/methods; Female; Humans; Inpatients; Male; Nutrition Assessment; Nutrition Disorders/prevention & control; Program Evaluation}},
language = {{eng}},
number = {{5}},
pages = {{799--807}},
publisher = {{Wiley-Blackwell}},
series = {{Journal of Evaluation in Clinical Practice}},
title = {{Short-term effects of a computer-based nutritional nursing training program for inpatient hospital care}},
url = {{http://dx.doi.org/10.1111/jep.12545}},
doi = {{10.1111/jep.12545}},
volume = {{22}},
year = {{2016}},
}