TY - JOUR
T1 - Stakeholder preferences for attributes of digital health technologies to consider in health service funding
AU - Huben, Amy von
AU - Howell, Martin
AU - Norris, Sarah
AU - Wong, Kam Cheong
AU - Tang, James
AU - Kazi, Samia
AU - Laranjo, Liliana
AU - Chow, Clara K.
AU - Howard, Kirsten
PY - 2023/2/14
Y1 - 2023/2/14
N2 - Objectives: Health service providers are currently making decisions on the public funding of digital health technologies (DHTs) for managing chronic diseases with limited understanding of stakeholder preferences for DHT attributes. This study aims to understand the community, patient/carer, and health professionals' preferences to help inform a prioritized list of evaluation criteria. Methods: An online best-worst scaling survey was conducted in Australia, New Zealand, Canada, and the United Kingdom to ascertain the relative importance of twenty-four DHT attributes among stakeholder groups using an efficient incomplete block design. The attributes were identified from a systematic review of DHT evaluation frameworks for consideration in a health technology assessment. Results were analyzed with multinomial models by stakeholder group and latent class. Results: A total of 1,251 participants completed the survey (576 general community members, 543 patients/carers, and 132 health professionals). Twelve attributes achieved a preference score above 50 percent in the stakeholder group model, predominantly related to safety but also covering technical features, effectiveness, ethics, and economics. Results from the latent class model supported this prioritization. Overall, connectedness with the patient's healthcare team seemed the most important; with Helps health professionals respond quickly when changes in patient care are needed as the most highly prioritized of all attributes. Conclusions: It is proposed that these prioritized twelve attributes be considered in all evaluations of DHTs that manage chronic disease, supplemented with a limited number of attributes that reflect the specific perspective of funders, such as equity of access, cost, and system-level implementation considerations.
AB - Objectives: Health service providers are currently making decisions on the public funding of digital health technologies (DHTs) for managing chronic diseases with limited understanding of stakeholder preferences for DHT attributes. This study aims to understand the community, patient/carer, and health professionals' preferences to help inform a prioritized list of evaluation criteria. Methods: An online best-worst scaling survey was conducted in Australia, New Zealand, Canada, and the United Kingdom to ascertain the relative importance of twenty-four DHT attributes among stakeholder groups using an efficient incomplete block design. The attributes were identified from a systematic review of DHT evaluation frameworks for consideration in a health technology assessment. Results were analyzed with multinomial models by stakeholder group and latent class. Results: A total of 1,251 participants completed the survey (576 general community members, 543 patients/carers, and 132 health professionals). Twelve attributes achieved a preference score above 50 percent in the stakeholder group model, predominantly related to safety but also covering technical features, effectiveness, ethics, and economics. Results from the latent class model supported this prioritization. Overall, connectedness with the patient's healthcare team seemed the most important; with Helps health professionals respond quickly when changes in patient care are needed as the most highly prioritized of all attributes. Conclusions: It is proposed that these prioritized twelve attributes be considered in all evaluations of DHTs that manage chronic disease, supplemented with a limited number of attributes that reflect the specific perspective of funders, such as equity of access, cost, and system-level implementation considerations.
UR - https://hdl.handle.net/1959.7/uws:72390
U2 - 10.1017/S0266462323000089
DO - 10.1017/S0266462323000089
M3 - Article
SN - 0266-4623
VL - 39
JO - International Journal of Technology Assessment in Health Care
JF - International Journal of Technology Assessment in Health Care
IS - 1
M1 - e12
ER -