Planning Digital Health Interventions: digital collection of patient-reported measures from older adults

Gayanika Hettiarachchi Senarath; Pari Delir Haghighi; Denise O'Connor; David Snowdon; Velandai Srikanth

doi:10.1145/3511616.3513126

Planning Digital Health Interventions: digital collection of patient-reported measures from older adults

Gayanika Hettiarachchi Senarath, Pari Delir Haghighi, Denise O'Connor, David Snowdon, Velandai Srikanth

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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 ĝ€ 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.

Original language	English
Title of host publication	Proceedings of 2022 Australasian Computer Science Week, ACSW 2022
Editors	David Abramson, Minh Ngoc Dinh
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	250-253
Number of pages	4
ISBN (Electronic)	9781450396066
DOIs	https://doi.org/10.1145/3511616.3513126
Publication status	Published - Feb 2022
Event	Australasian Workshop on Health Informatics and Knowledge Management (HIKM) 2022 - Online, Australia Duration: 14 Feb 2022 → 18 Feb 2022 Conference number: 15th https://www.hikm.org (Website)

Conference

Conference	Australasian Workshop on Health Informatics and Knowledge Management (HIKM) 2022
Abbreviated title	HIKM 2022
Country/Territory	Australia
Period	14/02/22 → 18/02/22
Internet address	https://www.hikm.org (Website)

Keywords

Complexity Science
Digital Health Intervention
Electronic Patient Reported Outcome Measures
Electronic PROMs
Intervention Planning
Patient-reported Measures

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3511616.3513126

Cite this

Hettiarachchi Senarath, G., Delir Haghighi, P., O'Connor, D., Snowdon, D., & Srikanth, V. (2022). Planning Digital Health Interventions: digital collection of patient-reported measures from older adults. In D. Abramson, & M. N. Dinh (Eds.), Proceedings of 2022 Australasian Computer Science Week, ACSW 2022 (pp. 250-253). Association for Computing Machinery (ACM). https://doi.org/10.1145/3511616.3513126

Hettiarachchi Senarath, Gayanika ; Delir Haghighi, Pari ; O'Connor, Denise et al. / Planning Digital Health Interventions : digital collection of patient-reported measures from older adults. Proceedings of 2022 Australasian Computer Science Week, ACSW 2022. editor / David Abramson ; Minh Ngoc Dinh. New York NY USA : Association for Computing Machinery (ACM), 2022. pp. 250-253

@inproceedings{2a1a01a8b64f4cdfb3606cbfce05b61e,

title = "Planning Digital Health Interventions: digital collection of patient-reported measures from older adults",

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 ĝ€ 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. ",

keywords = "Complexity Science, Digital Health Intervention, Electronic Patient Reported Outcome Measures, Electronic PROMs, Intervention Planning, Patient-reported Measures",

author = "{Hettiarachchi Senarath}, Gayanika and {Delir Haghighi}, Pari and Denise O'Connor and David Snowdon and Velandai Srikanth",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; Australasian Workshop on Health Informatics and Knowledge Management (HIKM) 2022, HIKM 2022 ; Conference date: 14-02-2022 Through 18-02-2022",

year = "2022",

month = feb,

doi = "10.1145/3511616.3513126",

language = "English",

pages = "250--253",

editor = "David Abramson and Dinh, {Minh Ngoc}",

booktitle = "Proceedings of 2022 Australasian Computer Science Week, ACSW 2022",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

url = "https://www.hikm.org",

}

Hettiarachchi Senarath, G, Delir Haghighi, P , O'Connor, D, Snowdon, D & Srikanth, V 2022, Planning Digital Health Interventions: digital collection of patient-reported measures from older adults. in D Abramson & MN Dinh (eds), Proceedings of 2022 Australasian Computer Science Week, ACSW 2022. Association for Computing Machinery (ACM), New York NY USA, pp. 250-253, Australasian Workshop on Health Informatics and Knowledge Management (HIKM) 2022, Australia, 14/02/22. https://doi.org/10.1145/3511616.3513126

Planning Digital Health Interventions: digital collection of patient-reported measures from older adults. / Hettiarachchi Senarath, Gayanika; Delir Haghighi, Pari ; O'Connor, Denise et al.
Proceedings of 2022 Australasian Computer Science Week, ACSW 2022. ed. / David Abramson; Minh Ngoc Dinh. New York NY USA: Association for Computing Machinery (ACM), 2022. p. 250-253.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Planning Digital Health Interventions

T2 - Australasian Workshop on Health Informatics and Knowledge Management (HIKM) 2022

AU - Hettiarachchi Senarath, Gayanika

AU - Delir Haghighi, Pari

AU - O'Connor, Denise

AU - Snowdon, David

AU - Srikanth, Velandai

N1 - Conference code: 15th

PY - 2022/2

Y1 - 2022/2

N2 - 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 ĝ€ 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.

AB - 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 ĝ€ 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.

KW - Complexity Science

KW - Digital Health Intervention

KW - Electronic Patient Reported Outcome Measures

KW - Electronic PROMs

KW - Intervention Planning

KW - Patient-reported Measures

UR - http://www.scopus.com/inward/record.url?scp=85127426355&partnerID=8YFLogxK

U2 - 10.1145/3511616.3513126

DO - 10.1145/3511616.3513126

M3 - Conference Paper

AN - SCOPUS:85127426355

SP - 250

EP - 253

BT - Proceedings of 2022 Australasian Computer Science Week, ACSW 2022

A2 - Abramson, David

A2 - Dinh, Minh Ngoc

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 14 February 2022 through 18 February 2022

ER -

Hettiarachchi Senarath G, Delir Haghighi P , O'Connor D, Snowdon D, Srikanth V. Planning Digital Health Interventions: digital collection of patient-reported measures from older adults. In Abramson D, Dinh MN, editors, Proceedings of 2022 Australasian Computer Science Week, ACSW 2022. New York NY USA: Association for Computing Machinery (ACM). 2022. p. 250-253 doi: 10.1145/3511616.3513126

Planning Digital Health Interventions: digital collection of patient-reported measures from older adults

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Cite this