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Planning digital health interventions: Digital collection of patient-reported measures from older adults

Published: 21 March 2022 Publication History

Abstract

Digital Health Interventions (DHIs) have great potential to improve health and healthcare delivery. However, achieving digital change in healthcare is challenging, and careful planning is needed to ensure its success. Existing approaches for planning DHIs lack attention to ‘complexity’ that considers the heterogeneity of agents (e.g. people, process, technology and new behaviours), interactions between these agents and iterative adaptations of these interactions. In this paper, we present a novel methodology to explore the planning of digital change in healthcare by utilising evidence-, theory- and enhanced person-based approaches that aim to address the limited evidence on iterative approaches to planning digital change, elicitation of wider stakeholder views and involvement of vulnerable populations in planning of digital change. We aim to apply this methodology in the context of planning digital patient-reported measures collection systems for older adults aged 65 years and above to report their health status and experiences, in a public health community rehabilitation care setting.

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        cover image ACM Other conferences
        ACSW '22: Proceedings of the 2022 Australasian Computer Science Week
        February 2022
        260 pages
        ISBN:9781450396066
        DOI:10.1145/3511616
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        New York, NY, United States

        Publication History

        Published: 21 March 2022

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        Author Tags

        1. Complexity Science
        2. Digital Health Intervention
        3. Electronic PROMs
        4. Electronic Patient Reported Outcome Measures
        5. Intervention Planning
        6. Patient-reported Measures

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        ACSW 2022
        ACSW 2022: Australasian Computer Science Week 2022
        February 14 - 18, 2022
        Brisbane, Australia

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        Overall Acceptance Rate 61 of 141 submissions, 43%

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