Technology-supported models of nutrition care: Perspectives of health service providers

Digit Health. 2022 Jun 3;8:20552076221104670. doi: 10.1177/20552076221104670. eCollection 2022 Jan-Dec.

ABSTRACT

OBJECTIVE: To determine the perspectives to the adoption, scale-up, sustainability, and spread of technology-supported models of nutrition care, in hospital and ambulatory care settings.

METHODS: Thirty-one health service providers participated in individual semi-structured interviews from a tertiary health service in Queensland, Australia. The Non-adoption, Abandonment, and challenges to the Scale up, Spread and Sustainability (NASSS) framework, designed to evaluate technology-supported models' success, informed the qualitative design.

RESULTS: Key findings were that technology-supported models of care could benefit many chronic condition patient groups; dietitians are well suited to adopting this technology: and the value proposition in creating efficiency gains in the health service. However, challenges of transitioning and sustainability were identified. Perceived enablers for technology supported models of care included: previous intentions for technology supported models of care prior to the 2019 novel coronavirus pandemic; opportunity for clinicians to complete higher valued tasks; and integration of technology systems and assisted staff roles. Perceived barriers included: suitability for patients is dependent on experience and ability to use technology, varied confidence by clinicians when conducting clinical assessments; high investment required for set up and ongoing maintenance; and patients desire for adopting face-to-face care over technology. Health service providers perceived that embedding and adapting such models requires maintenance of high-quality service and continued research.

CONCLUSIONS: Health service providers recognize adopting, scaling, and sustaining technology-supported models of nutrition care benefits patients, clinicians, and health services in general. Robust clinical trials and health service evaluations of technology-supported models of care, across practice settings are now needed.

PMID:35677784 | PMC:PMC9168874 | DOI:10.1177/20552076221104670