Hostname: page-component-6766d58669-kl59c Total loading time: 0 Render date: 2026-05-21T12:38:02.377Z Has data issue: false hasContentIssue false

Efficacy of Telephone Information and Advice on Welfare: the Need for Realist Evaluation

Published online by Cambridge University Press:  09 September 2016

Andrew J.E. Harding
Affiliation:
Faculty of Health and Social Sciences, Bournemouth University E-mail: aharding@bournemouth.ac.uk
Jonathan Parker
Affiliation:
Faculty of Health and Social Sciences, Bournemouth University E-mail: parkerj@bournemouth.ac.uk
Sarah Hean
Affiliation:
Faculty of Health and Social Sciences, Bournemouth University E-mail: shean@bournemouth.ac.uk
Ann Hemingway
Affiliation:
Faculty of Health and Social Sciences, Bournemouth University E-mail: aheming@bournemouth.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

In the context of increased marketisation in welfare provision, formal information and advice (I&A) is widely assumed to enable users, as consumers, to make informed choices about services, support and care. There is emerging evidence that telephone I&A services represent important ways of providing such services. This article proposes a framework that identifies key areas of focus delineating the efficacy of I&A, which is then used in a comprehensive literature review to critique existing research on outcomes and/or impact of telephone I&A. Existing, predominately quantitative, research has critical weaknesses. There is a lack of adequate contextual focus, understanding agency, and how I&A is used in different contexts to influence causal processes. The article contends that the efficacy of I&A is not adequately reported and provides much needed theoretical clarity in key areas, including the desirability of further realist evaluation approaches.

Information

Type
Articles
Copyright
Copyright © Cambridge University Press 2016 
Figure 0

Figure 1. Theoretical framework for ascertaining efficacy of information and advice services

Figure 1

Table 1 Literature search of academic databases

Figure 2

Table 2 Summary of articles