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Exploring the feasibility of Conjoint Analysis as a tool for prioritizing innovations for implementation

机译：探索将联合分析作为优先考虑实施创新的工具的可行性

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Background In an era of scarce and competing priorities for implementation, choosing what to implement is a key decision point for many behavioural change projects. The values and attitudes of the professionals and managers involved inevitably impact the priority attached to decision options. Reliably capturing such values is challenging. Methods This paper presents an approach for capturing and incorporating professional values into the prioritization of healthcare innovations being considered for adoption. Conjoint Analysis (CA) was used in a single UK Primary Care Trust to measure the priorities of healthcare professionals working with women with postnatal depression. Rating-based CA data was gathered using a questionnaire and then mapped onto 12 interventions being considered as a means of improving the management of postnatal depression. Results The ‘impact on patient care’ and the ‘quality of supporting evidence’ associated with the potential innovations were the most influential in shaping priorities. Professionals were least influenced by whether an innovation was an existing national or local priority, or whether current practice in the Trust was meeting minimum standards. Ranking the 12 innovations by the preferences of potential adopters revealed ‘guided self help’ was the top priority for implementation and ‘screening questions for post natal depression’ the least. When other factors were considered (such as the presence of routine data or planned implementation activity elsewhere in the Trust), the project team chose to combine the eight related treatments and implement these as a single innovation referred to as ‘psychological therapies’. Conclusions Using Conjoint Analysis to prioritise potential innovation implementation options is a feasible means of capturing the utility of stakeholders and thus increasing the chances of an innovation being adopted. There are some practical barriers to overcome such as increasing response rates to conjoint surveys before routine and unevaluated use of this technique should be considered.
机译：背景技术在一个实施重点稀缺且竞争激烈的时代，选择实施方案是许多行为变革项目的关键决策点。所涉专业人员和管理人员的价值观和态度不可避免地会影响决策选择的优先级。可靠地获取这些价值具有挑战性。方法本文提出了一种方法，用于将专业价值捕捉并纳入考虑采用的医疗保健创新的优先次序中。联合分析（CA）用于单一的英国基层医疗信托（UK Primary Care Trust）中，用于评估与产后抑郁症妇女合作的医疗保健专业人员的优先事项。使用调查表收集基于评分的CA数据，然后将其映射到12种干预措施中，这些干预措施被认为是改善产后抑郁症治疗的一种手段。结果与潜在创新相关的“对患者护理的影响”和“支持证据的质量”对确定优先事项的影响最大。专业人士受创新影响是否是现有的国家或地方优先事项，或者信托基金的当前实践是否达到最低标准的影响最小。根据潜在采用者的喜好对12项创新进行排名，结果显示，“引导式自助”是实施的重中之重，而“筛查产后抑郁症的问题”则最少。考虑其他因素（例如，在基金会中其他地方存在例行数据或计划的实施活动）时，项目团队选择将八种相关治疗方法组合在一起，并将其作为称为“心理治疗方法”的单一创新实施。结论使用联合分析对潜在的创新实施方案进行优先排序是一种可行的手段，可以抓住利益相关者的效用，从而增加采用创新的机会。有一些实际的障碍需要克服，例如在考虑常规和未评估使用此技术之前，提高联合调查的答复率。

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