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Promoting and Embedding Innovation

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Evaluation<br />

The research suggests that however<br />

imperfectly applied, it is imperative to<br />

incorporate evaluation into the ongoing<br />

process of innovation diffusion <strong>and</strong><br />

routinisation (Chapman et al, 2004). The<br />

implementation aspect of innovation makes it<br />

unsuitable for experimental evaluation design<br />

(Booth & Falzon, 2001). When measuring<br />

inputs <strong>and</strong> outputs of innovations, the former<br />

are likely to include quantifiable financial,<br />

human <strong>and</strong> physical resources alongside the<br />

more difficult to measure tacit knowledge<br />

(Adams et al, 2006). In order to capture the<br />

range of individual, group <strong>and</strong> organisational<br />

level processes <strong>and</strong> outcomes a combination<br />

of approaches might be adopted. For<br />

example, qualitative individual reflections,<br />

evaluation of group process through „action<br />

research‟ <strong>and</strong> quality assurance in relation to<br />

organisational processes (Booth & Falzon,<br />

2001). Crucially, evaluation should not be<br />

confined to the pilot or early introduction phase<br />

at the expense of ongoing evaluation of<br />

processes <strong>and</strong> outcomes.<br />

Freeman et al, (2006) suggest that<br />

evaluation objectives should include:<br />

o Extent of fit between the innovation<br />

<strong>and</strong> context<br />

o Stakeholder perceptions <strong>and</strong><br />

experiences of the innovation<br />

o Extent of change to services <strong>and</strong><br />

outcomes<br />

o Extent to which new practices have<br />

become embedded<br />

o The effects (<strong>and</strong> unintended<br />

consequences) of the innovation on<br />

services, services users, <strong>and</strong> the<br />

wider system<br />

o Learning that can be transferred to<br />

other settings <strong>and</strong> how this relates to<br />

the broader literature on innovation<br />

Issues to bear in mind when drawing up a list<br />

of outcome measures include not just benefits<br />

to the organisation <strong>and</strong> patients, but also the<br />

distribution of positive net benefits, for<br />

example between organisations, functions <strong>and</strong><br />

user groups (Coyte & Holmes 2007, Rye &<br />

Kimberly 2007). Authors caution against<br />

„reverse access‟ problems where for example<br />

disadvantaged groups continue to access less<br />

effective or harmful innovations (Rye &<br />

Kimberly, 2007). Ultimately, outcome<br />

measures should reflect the underlying<br />

objectives of the innovation process<br />

(Dickinson, 2008) <strong>and</strong> measures should be<br />

carefully screened according to<br />

appropriateness <strong>and</strong> relevance (Kimberly &<br />

Cook, 2008).<br />

Health Services Management Centre 35

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