Harnessing delegation and technology to identify and manage malnutrition in a digital hospital: An implementation study.
Aims: Delegation of nutrition care activities to Dietetic Assistants in hospitals has been identified as one innovative malnutrition model of care, but there has been limited evaluation of their roles. This study aimed to develop, implement and evaluate a new Malnutrition Model of Care embracing aut...
| Publicado en: | Nutrition & Dietetics Vol. 82; no. 2; pp. 218 - 231 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184298057&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184298057 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14466368 QMK jtl: Nutrition & Dietetics issn: 14466368 maglogo: Y pubinfo: dt: Apr2025 vid: 82 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 184298057 180984883 184298057 184298057 10.1111/1747-0080.12913 184298057 ppf: 218 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Harnessing delegation and technology to identify and manage malnutrition in a digital hospital: An implementation study. aug: au: Ellick, Jennifer McCoy, Simone Olufson, Hannah Adams, Amanda Banks, Merrilyn Young, Adrienne affil: Dietetics & Food Services, Surgical, Treatment & Rehabilitation Service (STARS), Metro North Health, Herston Queensland,, Australia sug: subj: Malnutrition Diagnosis Malnutrition Therapy Digital Technology Hospitals, Public Queensland Health Care Delivery Evaluation Automation Task Performance and Analysis Dietitians Human Malnutrition Risk Factors Clinical Assessment Tools Food Intake Evaluation Referral and Consultation Health Personnel Education Simulations Surveys Dietitian Attitudes Evaluation Confidence Job Satisfaction Audit Descriptive Statistics Malnutrition Epidemiology Funding Source Queensland Treatment Outcomes Software Nutritional Assessment Checklists ab: Aims: Delegation of nutrition care activities to Dietetic Assistants in hospitals has been identified as one innovative malnutrition model of care, but there has been limited evaluation of their roles. This study aimed to develop, implement and evaluate a new Malnutrition Model of Care embracing automated delegation and digital systems. Methods: The Malnutrition Model of Care was created to detect patients at risk of malnutrition (using the Malnutrition Screening Tool) and nutritional decline (via routine intake tracking at all meals and snacks). Digital systems generated automated referrals to dietetics, with protocols to support Dietetic Assistants to action these to direct care escalation to the ward dietitian. Dietetic Assistant training included simulations and clinical task instructions. Implementation evaluation was guided by the Donabedian model of quality and included a review of inpatient dietetics occasions of service, survey of Dietetic Assistant role satisfaction and task confidence, and hospital‐wide cross‐sectional malnutrition audit. Data was descriptively analysed. Results: During the first year of implementation, 60% of Dietetics inpatient occasions of service were completed by Dietetic Assistants, with 26% of Dietetic Assistant inpatient tasks initiated from nursing malnutrition risk screening. Most Dietetic Assistants reported adequate training and confidence in completing delegated tasks. Malnutrition prevalence was 14% with no hospital‐acquired malnutrition identified. No clinical incidents were reported. Conclusions: The Dietetic Assistant workforce and technology were harnessed to implement an innovative delegated Malnutrition Model of Care that appears to be safe and effective at managing malnutrition from preliminary evaluation. Work continues to formally assess service efficiencies, cost and patient experience. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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