dc.contributor.advisor |
Wall, C |
en |
dc.contributor.advisor |
Herbison, K |
en |
dc.contributor.advisor |
Friedlander, S |
en |
dc.contributor.author |
Beer, Sarah |
en |
dc.date.accessioned |
2017-07-18T02:26:18Z |
en |
dc.date.issued |
2017 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/34272 |
en |
dc.description |
Full text is available to authenticated members of The University of Auckland only. |
en |
dc.description.abstract |
Background and aim: Malnutrition is not an uncommon finding in the paediatric hospital setting. Due to the serious effects on clinical outcomes, malnutrition is a great area of concern and needs to be quickly identified and treated. Currently in Starship Child Health, there is no implemented protocol used to identify malnutrition on admission. The aim of this study was to describe the prevalence of malnutrition in Starship Child Health in Auckland, New Zealand, to determine the risk of malnutrition in the same sample using three popular paediatric malnutrition screening tools, and to compare the practicality of those three screening tools in this setting. The results of this study may be used to inform the decision making process for the implementation of a screening tool in Starship Child Health. Methods: 100 children were randomly surveyed over a 14-day period. If they met the inclusion criteria and were available for the research, information on ethnicity, height and weight were obtained through patient consultation and consent on the ward. Information on age, gender, and diagnosis were collected through patient notes. The main anthropometric data was used to calculate the anthropometric measures of malnutrition for each child through the WHO standards. Additional information collected was used to complete three malnutrition screening tools; PYMS, STAMP and STRONGkids. Comparison of the results of the three screening tools were made through a kappa analysis of agreement and an assessment of the practicability of these tools through the literature. Findings: Overall, 10% of children had at least one anthropometric indicator of undernutrition, some had multiple indicators. Being overweight was the most common form of malnutrition seen in this sample of children (13%). This was followed by stunting (6%) and underweight (6%). Depending on the screening tool used, 27.1% to 43.8% of children admitted during this time had a high risk of developing malnutrition. The PYMS and STAMP tools were found to have the greatest agreement, however the STRONGkids tool was found to be the most practicable for use in SCH. Conclusions: The prevalence of undernutrition is lower than reported in literature from comparable countries however, a great number of children showed signs of the early stages of malnutrition that would not be detected through anthropometric measurements alone. The STRONGkids tool was the most practicable tool to use in this setting and is recommended for consideration for use in Starship Child Health. |
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dc.publisher |
ResearchSpace@Auckland |
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dc.relation.ispartof |
Masters Thesis - University of Auckland |
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dc.relation.isreferencedby |
UoA99264943412502091 |
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dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
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dc.rights |
Restricted Item. Available to authenticated members of The University of Auckland. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ |
en |
dc.title |
Prevalence and risk of malnutrition in paediatric patients on admission to Starship Child Health: A snapshot survey |
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dc.type |
Thesis |
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thesis.degree.discipline |
Dietetics |
en |
thesis.degree.grantor |
The University of Auckland |
en |
thesis.degree.level |
Masters |
en |
dc.rights.holder |
Copyright: The author |
en |
pubs.elements-id |
637813 |
en |
pubs.record-created-at-source-date |
2017-07-18 |
en |
dc.identifier.wikidata |
Q112933227 |
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