背景(考古学)
利益相关者
服务交付框架
医疗保健
偏爱
模式
质量(理念)
服务提供商
营销
服务(商务)
心理学
业务
知识管理
医学
计算机科学
经济
地理
社会学
考古
社会科学
管理
微观经济学
哲学
认识论
经济增长
作者
Linh K. Vo,Michelle Allen,Michelle Cunich,Janani Thillainadesan,Steven McPhail,Pakhi Sharma,Shannon Wallis,Kelly McGowan,Hannah Carter
标识
DOI:10.1016/j.socscimed.2023.116459
摘要
This systematic review aimed to synthesise evidence from discrete choice experiments (DCEs) eliciting preferences for virtual models of care, as well as to assess the quality of those DCEs and compare the relative preferences for different stakeholder groups. Articles were included if published between January 2010 and December 2022. Data were synthesised narratively, and attributes were assessed for frequency, significance, and relative importance using a semi-quantitative approach. Overall, 21 studies were included encompassing a wide range of virtual care modalities, with the most common setting being virtual consultations for outpatient management of chronic conditions. A total of 135 attributes were identified and thematically classified into six categories: service delivery, service quality, technical aspects, monetary aspects, health provider characteristics and health consumer characteristics. Attributes related to service delivery were most frequently reported but less highly ranked. Service costs were consistently significant across all studies where they appeared, indicating their importance to the respondents. All studies examining health providers' preferences reported either system performance or professional endorsement attributes to be the most important. Substantial heterogeneity in attribute selection and preference outcomes were observed across studies reporting on health consumers' preferences, suggesting that the consideration of local context is important in the design and delivery of person-centred virtual care services. In general, the experimental design and analysis methods of included studies were clearly reported and justified. An improvement was observed in the quality of DCE design and analysis in recent years, particularly in the attribute development process. Given the continued growth in the use of DCEs within healthcare settings, further research is needed to develop a standardised approach for quantitatively synthesising DCE findings. There is also a need for further research on preferences for virtual care in post-pandemic contexts, where emerging evidence suggests that preferences may differ to those observed in pre-pandemic times.
科研通智能强力驱动
Strongly Powered by AbleSci AI