Correlates of the Intention to Implement a Tailored Physical Activity Intervention: Perceptions of Intermediaries

Denise Peels, Aart Mudde, Catherine Bolman, Rianne Golsteijn, Hein De Vries and Lilian Lechner
Additional contact information
Denise Peels: Department of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, P.O. Box 2960, Heerlen 6401 DL, The Netherlands
Aart Mudde: Department of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, P.O. Box 2960, Heerlen 6401 DL, The Netherlands
Catherine Bolman: Department of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, P.O. Box 2960, Heerlen 6401 DL, The Netherlands
Rianne Golsteijn: Department of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, P.O. Box 2960, Heerlen 6401 DL, The Netherlands
Hein De Vries: Department of Health Promotion, Maastricht University, Maastricht University Medical Centre, P.O. Box 616, Maastricht 6200 MD, The Netherlands
Lilian Lechner: Department of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, P.O. Box 2960, Heerlen 6401 DL, The Netherlands

IJERPH, 2014, vol. 11, issue 2, 1-19

Abstract: The public health impact of health behaviour interventions is highly dependent on large-scale implementation. Intermediaries—intervention providers—determine to a large extent whether an intervention reaches the target population, and hence its impact on public health. A cross-sectional study was performed to identify the correlates of intermediaries’ intention to implement a computer-tailored physical activity intervention. According to theory, potential correlates are intervention characteristics, organisational characteristics, socio-political characteristics and intermediary characteristics. This study investigated whether intermediary characteristics mediated the association between the intervention, organisational and socio-political characteristics and intention to implement the intervention. Results showed that intervention characteristics ( i.e. , observability (B = 0.53; p = 0.006); relative advantage (B = 0.79; p = 0.020); complexity (B = 0.80; p < 0.001); compatibility (B = 0.70; p < 0.001)), organisational characteristics ( i.e. , type of organization (B = 0.38; p = 0.002); perceived task responsibility (B = 0.66; p ? 0.001); capacity (B = 0.83; p < 0.001)), and the social support received by intermediary organisations (B = 0.81; p < 0.001) were associated with intention to implement the intervention. These factors should thus be targeted by an implementation strategy. Since self-efficacy and social norms perceived by the intermediary organisations partially mediated the effects of other variables on intention to implement the intervention (varying between 29% and 84%), these factors should be targeted to optimise the effectiveness of the implementation strategy.

Keywords: intervention implementation; hypothesized determinants of implementation intention; tailored intervention; intervention characteristics; organisational characteristics; socio-political characteristics; intermediary characteristics (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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