Getting to grips with the process of decision-making in long-term care. Descriptive cases illustrate the chaotic reality of the construction of preferences

Clients and professionals elicit long-term care preferences by using 'What matters to me': A process evaluation in the Netherlands

BACKGROUND

'What matters to me' is a five-category preference elicitation tool to assist clients and professionals in choosing long-term care. This study aimed to evaluate the use of and experiences with this tool.

METHODS

A mixed-method process evaluation was applied. Participants were 71 clients or relatives, and 12 professionals. They were all involved in decision-making on long-term care. Data collection comprised online user activity logs (N = 71), questionnaires (N = 38) and interviews (N = 20). Descriptive statistics was used for quantitative data, and a thematic analysis for qualitative data.

RESULTS

Sixty-nine per cent of participants completed one or more categories in an average time of 6.9 (±0.03) minutes. The tool was rated 6.63 (±0.88) of 7 in the Post-Study System Usability Questionnaire (PSSUQ). Ninety-five per cent experienced the tool as useful in practice. Suggestions for improvement included a separate version for relatives and a non-digital version. Although professionals thought the potentially extended consultation time could be problematic, all participants would recommend the tool to others.

CONCLUSION

'What matters to me' seems useful to assist clients and professionals with preference elicitation in long-term care. Evaluation of the impact on consultations between clients and professionals by using 'What matters to me' is needed.

What matters to me - a web-based preference elicitation tool for clients in long-term care: a user-centred design

Background

During the process of decision-making for long-term care, clients are often dependent on informal support and available information about quality ratings of care services. However, clients do not take ratings into account when considering preferred care, and need assistance to understand their preferences. A tool to elicit preferences for long-term care could be beneficial. Therefore, the aim of this qualitative descriptive study is to understand the user requirements and develop a web-based preference elicitation tool for clients in need of long-term care.

Methods

We applied a user-centred design in which end-users influence the development of the tool. The included end-users were clients, relatives, and healthcare professionals. Data collection took place between November 2017 and March 2018 by means of meetings with the development team consisting of four users, walkthrough interviews with 21 individual users, video-audio recordings, field notes, and observations during the use of the tool. Data were collected during three phases of iteration: Look and feel, Navigation, and Content. A deductive and inductive content analysis approach was used for data analysis.

Results

The layout was considered accessible and easy during the Look and feel phase, and users asked for neutral images. Users found navigation easy, and expressed the need for concise and shorter text blocks. Users reached consensus about the categories of preferences, wished to adjust the content with propositions about well-being, and discussed linguistic difficulties.

Conclusion

By incorporating the requirements of end-users, the user-centred design proved to be useful in progressing from the prototype to the finalized tool ‘What matters to me’. This tool may assist the elicitation of client’s preferences in their search for long-term care.

Proposal for a Framework to Enable Elicitation of Preferences for Clients in Need of Long-Term Care

PURPOSE

Collaborative deliberation comprises personal engagement, recognition of alternative actions, comparative learning, preference elicitation, and preference integration. Collaborative deliberation may be improved by assisting preference elicitation during shared decision-making. This study proposes a framework for preference elicitation to facilitate collaborative deliberation in long-term care consultations.

METHODS

First, a literature overview was conducted comprising current models for the elicitation of preferences in health and social care settings. The models were reviewed and compared. Second, qualitative research was applied to explore those issues that matter most to clients in long-term care. Data were collected from clients in long-term care, comprising 16 interviews, 3 focus groups, 79 client records, and 200 online client reports. The qualitative analysis followed a deductive approach. The results of the literature overview and qualitative research were combined.

RESULTS

Based on the literature overview, five overarching domains of preferences were described: "Health", "Daily life", "Family and friends", "Living conditions", and "Finances". The credibility of these domains was confirmed by qualitative data analysis. During interviews, clients addressed issues that matter in their lives, including a "click" with their care professional, safety, contact with loved ones, and assistance with daily structure and activities. These data were used to determine the content of the domains.

CONCLUSION

A framework for preference elicitation in long-term care is proposed. This framework could be useful for clients and professionals in preference elicitation during collaborative deliberation.