Consumer Preferences for a Healthcare Appointment Reminder in Australia: A Discrete Choice Experiment

被引:1
|
作者
Selim, Shayma Mohammed [1 ,2 ]
Senanayake, Sameera [1 ,2 ,3 ]
Mcphail, Steven M. [1 ,2 ,4 ]
Carter, Hannah E. [1 ,2 ]
Naicker, Sundresan [1 ,2 ]
Kularatna, Sanjeewa [1 ,2 ,3 ]
机构
[1] Queensland Univ Technol, Australian Ctr Hlth Serv Innovat, Sch Publ Hlth & Social Work, 60 Musk Ave, Brisbane, Qld 4159, Australia
[2] Queensland Univ Technol, Ctr Healthcare Transformat, Sch Publ Hlth & Social Work, 60 Musk Ave, Brisbane, Qld 4159, Australia
[3] Duke NUS Med Sch, Hlth Serv & Syst Res, Singapore, Singapore
[4] Metro South Hlth, Digital Hlth & Informat Directorate, Brisbane, Qld, Australia
来源
关键词
CONJOINT-ANALYSIS APPLICATIONS; NON-ATTENDANCE; PATIENT PREFERENCES; ELICIT PREFERENCES; ECONOMICS; IMPACT;
D O I
10.1007/s40271-024-00692-9
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background It is essential to consider the evidence of consumer preferences and their specific needs when determining which strategies to use to improve patient attendance at scheduled healthcare appointments. Objectives This study aimed to identify key attributes and elicit healthcare consumer preferences for a healthcare appointment reminder system. Methods A discrete choice experiment was conducted in a general Australian population sample. The respondents were asked to choose between three options: their preferred reminder (A or B) or a 'neither' option. Attributes were developed through a literature review and an expert panel discussion. Reminder options were defined by four attributes: modality, timing, content and interactivity. Multinomial logit and mixed multinomial logit models were estimated to approximate individual preferences for these attributes. A scenario analysis was performed to estimate the likelihood of choosing different reminder systems. Results Respondents (n = 361) indicated a significant preference for an appointment reminder to be delivered via a text message (beta = 2.42, p < 0.001) less than 3 days before the appointment (beta = 0.99, p < 0.001), with basic details including the appointment cost (beta = 0.13, p < 0.10), and where there is the ability to cancel or modify the appointment (beta = 1.36, p < 0.001). A scenario analysis showed that the likelihood of choosing an appointment reminder system with these characteristics would be 97%. Conclusions Our findings provide evidence on how healthcare consumers trade-off between different characteristics of reminder systems, which may be valuable to inform current or future systems. Future studies may focus on exploring the effectiveness of using patient-preferred reminders alongside other mitigation strategies used by providers.
引用
收藏
页码:537 / 550
页数:14
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