Necessary but Not Sufficient… Comment on "Knowledge Mobilization in Healthcare Organizations: A View From the Resource-Based View of the Firm"

Lessons on integrated knowledge translation through algorithm's utilization in homecare services: a multiple case study

AIM

Integrated knowledge translation (IKT) is an increasingly recommended collaborative approach to minimize knowledge translation gap. Still, few studies have documented the impact of IKT to optimize knowledge uptake in healthcare settings. An IKT-based clinical algorithm (Algo) was deployed in Quebec (Canada) homecare services to support skill mix for selecting bathing equipment for community-dwelling adults. The objective of this study was to document the characteristics related to Algo's IKT process.

METHODS

A multiple-case study with a nested concurrent mixed design was conducted in provincial homecare services. Based on Knott and Wildavsky's seven-stage classification and the integrated-Promoting Action on Research Implementation in Health Services model, Innovation, Recipients, and Context, characteristics related to Algo's levels of utilization were documented. Quantitative (electronic questionnaire) and qualitative (semistructured interviews and focus groups) data were collected for each case (i.e., homecare service). Descriptive statistics and thematic analysis were performed to describe each case through a mixed methods matrix, for intra/intercase analyses.

RESULTS

Knowledge translation characteristics of five Algo's levels of utilization were documented: reception, cognition, reference, effort, and impact. Innovation characteristics (e.g., underlying knowledge) were found to facilitate its dissemination and its use. However, the Recipients (e.g., unclear mechanisms to implement change) and Context (e.g., organizational mandates nonaligned with skill mix) characteristics hampered its application through intermediate and advanced levels of utilization.

CONCLUSION

The knowledge translation analysis of Algo allowed for documenting the IKT-based benefits in terms of utilization in healthcare settings. Although an IKT approach appears to be a strong facilitator for initiating the implementation process, additional characteristics should be considered for promoting and sustaining its use on local, organizational, and external levels of context. Facilitation strategies should document the administrative benefits related to Algo's utilization and contextualize it according to homecare services' characteristics.

Getting the most out of knowledge and innovation transfer agents in health care: a qualitative study

Background

Knowledge and innovation transfer (KIT) is recognised internationally as a complex, dynamic process that is difficult to embed in organisations. There is growing use of health service–academic–industry collaborations in the UK, with knowledge brokers linking producers with the users of knowledge and innovation.

Aim

Focusing on KIT ‘agent’ roles within Academic Health Science Networks in England and Partnerships in Wales, we show how individual dispositions, processes and content contribute to desired outcomes.

Methods

We studied the KIT intentions of all Academic Health Science Networks in England, and the South East Wales Academic Health Science Partnership. Using a qualitative case study design, we studied the work of 13 KIT agents purposively sampled from five networks, by collecting data from observation of meetings, documentation, KIT agent audio-diaries, and semistructured interviews with KIT agents, their line managers and those they supported (‘Links’). We also used a consensus method in a meeting of experts (nominal group technique) to discuss the measurement of outcomes of KIT agent activity.

Findings

The case study KIT agents were predominantly from a clinical background with differing levels of experience and expertise, with the shared aim of improving services and patient care. Although outside of recognised career structures, the flexibility afforded to KIT agents to define their role was an enabler of success. Other helpful factors included (1) time and resources to devote to KIT activity; (2) line manager support and a team to assist in the work; and (3) access and the means to use data for improvement projects. The organisational and political context could be challenging. KIT agents not only tackled local barriers such as siloed working, but also navigated shifting regional and national policies. Board-level support for knowledge mobilisation together with a culture of reflection (listening to front-line staff), openness to challenges and receptivity to research all enabled KIT agents to achieve desired outcomes. Nominal group findings underscored the importance of relating measures to specific intended outcomes. However, the case studies highlighted that few measures were employed by KIT agents and their managers. Using social marketing theory helped to show linkages between processes, outcomes and impact, and drew attention to how KIT agents developed insight into their clients’ needs and tailored work accordingly.

Limitations

Level of KIT agent participation varied; line managers and Links were interviewed only once; and outcomes were self-reported.

Conclusions

Social marketing theory provided a framework for analysing KIT agent activity. The preparatory work KIT agents do in listening, understanding local context and building relationships enabled them to develop ‘insight’ and adapt their ‘offer’ to clients to achieve desired outcomes.

Future work

The complexity of the role and the environment in which it is played out justifies more research on KIT agents. Suggestions include (1) longitudinal study of career pathways; (2) how roles are negotiated within teams and how competing priorities are managed; (3) how success is measured; (4) the place of improvement methodologies within KIT work; (5) the application of social marketing theory to comparative study of similar roles; and (6) patients as KIT agents.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.