Identification of nutritional risk by nursing staff in secure psychiatric settings: reliability and validity of St Andrew's Nutrition Screening Instrument

Rowell, Arleen; Long, Clive G.; Chance, Louanne; Dolley, Olga

doi:10.1111/j.1365-2850.2011.01848.x

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…Medical and Surgical Department: Simple Paediatric Nutrition Risk Score (SPNRS)45 and Pediatric Digital Scaled MAlnutrition Risk screening Tool (PeDiSMART) 46 47Psychiatric Department: St Andrew’s Nutrition Screening Instrument (SANSI) 48Screening tool to predict malnutrition among children under 2 years old in Zambia 49…”

Section: Resultsmentioning

confidence: 99%

Screening and assessment tools for early detection of malnutrition in hospitalised children: a systematic review of validation studies

et al. 2019

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ObjectiveThe aim of the present study was to identify all currently available screening and assessment tools for detection of malnutrition in hospitalised children, and to identify the most useful tools on the basis of published validation studies.DesignSystematic review.Data sourcesPubMed, CINAHL and MEDLINE were searched up to October 2017.Eligibility criteria for selecting studiesStudies in English that reported sensitivity, specificity and positive/negative predictive values (PPVs/NPVs) in the paediatric population were eligible for inclusion.Data extraction and synthesisTwo authors independently screened all of the studies identified, and extracted the data. The methodological qualities of the studies included were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool.ResultsThe 26 validation studies that met the inclusion criteria for this systematic review used eight screening and three assessment tools. The number of participants varied from 32 to 14 477. There was considerable variability in the chosen reference standards, which prevented direct comparisons of the predictive performances of the tools. Anthropometric measurements were used as reference standards in 16 of the identified studies, and full nutritional assessment in 5. The Pediatric Yorkhill Malnutrition Score (PYMS) screening tool performed better than Screening Tool for the Assessment of Malnutrition and Screening Tool for Risk On Nutritional status and Growth when compared in terms of anthropometric measurements, especially for body mass index (Se=90.9, Sp=81.9) and triceps skinfold thickness (Se=80.0, Sp=75.0). However, low PPVs indicated the problem of overprediction of positive cases, which was typical for all of the studies that used anthropometric measurements as the reference standard.ConclusionsThis systematic review identifies the need for definition of the gold standard for validation of screening tools. Anthropometry measurements using WHO or Centers for Disease Control and Prevention growth charts should be considered as the possible reference standard in future validation studies. We would recommend the use of PYMS for hospitalised paediatric patients without chronic conditions, in combination with full nutritional assessment.PROSPERO registration numberCRD42017077477.

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Section: Resultsmentioning

confidence: 99%

Screening and assessment tools for early detection of malnutrition in hospitalised children: a systematic review of validation studies

et al. 2019

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“…Nutritional risk screening instrument (Rowell et al, 2012): Data from this routinely administered assessment was used to determine current weight and BMI, weight and BMI six months previously and weight and BMI at admission and at 3, 6, 12, 24 and 36 months post admission. Patients BMI was categorised using the international classification (World Health Organisation, 1995) Data on care planned session attendance was analysed to assess engagement in nonsedentary activities.…”

Section: Methodsmentioning

confidence: 99%

Tackling obesity and its complications in secure settings

Long

Rowell

Gayton

et al. 2014

Mental Health Review Journal

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Purpose -The purpose of this paper is to explore the incidence of obesity and its complications in secure psychiatric settings; and to assess changes in body mass index (BMI). Design/methodology/approach -Electronic patient records were used to determine levels of obesity and weight change over a three-year period. BMI levels were related to status, medication and patient characteristics.Findings -The incidence of obesity (34 per cent) in the sample (n ¼ 351) was higher than in the general population. One-third of patients were on medication for hyperlipidaemia and 10 per cent were diagnosed with type II diabetes. Patients on regular antipsychotic drugs and sodium valproate and who were less active had higher BMIs. Gender differences over a three-year period showed a tendency for women's weight to continue to increase which may be linked to lower levels of engagement in activities of moderate or vigorous intensity. Originality/value -Previous surveys using secure psychiatric populations have been point in time reviews. The current study tracks changes over a three-year time period and related this to a range of interventions.

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“…These include metabolic disturbances (Haupt, 2006;Wu et al, 2008), increased appetite leading to increased food intake (Harrison, 2004;Rowell, Long, Chance, & Dolley, 2012), and the sedating effects of antipsychotic medication which is reported to affect coordination and decrease motivation to engage in physical activity (Chacon, Mora, Gervas-Rios, & Gilabarte, 2011). Morrison et al (2012) suggest that the efficacy of antipsychotic medication is overestimated, and that the physical health of people with SMI needs to be considered when treatment decisions are made.…”

Section: Lifestyle and Mental Illness Associated Factorsmentioning

confidence: 97%

Physical Health Inequities in People with Severe Mental Illness: Identifying Initiatives for Practice Change

Cunningham

Peters

Mannix

2013

Issues in Mental Health Nursing

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People with severe mental illness have a higher prevalence of co-morbid physical diseases and a significantly reduced life expectancy when compared with people in the general population. This article explores the literature published between 2002 and 2012 in order to identify causes of poor physical health in those with severe mental illness and discusses interventions that may be implemented to enhance health outcomes for this group. The causes of poor physical health in those with severe mental illness are difficult to address. However, existing literature does identify some interventions that can potentially provide the basis for practice change.

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Identification of nutritional risk by nursing staff in secure psychiatric settings: reliability and validity of St Andrew's Nutrition Screening Instrument

Cited by 9 publications

References 13 publications

Screening and assessment tools for early detection of malnutrition in hospitalised children: a systematic review of validation studies

Screening and assessment tools for early detection of malnutrition in hospitalised children: a systematic review of validation studies

Tackling obesity and its complications in secure settings

Physical Health Inequities in People with Severe Mental Illness: Identifying Initiatives for Practice Change

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