Literature DB >> 32105325

Key Performance Indicators for program scale-up and divergent practice styles: a study from NSW, Australia.

Sisse Grøn1,2, Victoria Loblay3, Kathleen P Conte4, Amanda Green5, Christine Innes-Hughes5, Andrew Milat6, Jo Mitchell7, Lina Persson6, Sarah Thackway6, Mandy Williams8, Penelope Hawe3.   

Abstract

Implementing programs at scale has become a vital part of the government response to the continuing childhood obesity epidemic. We are studying the largest ever scale-up of school and child care obesity prevention programs in Australia. Health promotion teams support primary schools and early childhood services in their area to achieve a number of specified, evidence-based practices aimed at organizational changes to improve healthy eating and physical activity. Key performance indicators (KPIs) were devised to track program uptake across different areas-measuring both the proportion of schools and early childhood services reached and the proportion of practices achieved in each setting (i.e. the proportion of sites implementing programs as planned). Using a 'tight-loose-tight' model, all local health districts receive funding and are held accountable to reaching KPI implementation targets. However, local teams have independent discretion over how to best use funds to reach targets. Based on 12 months of ethnographic fieldwork and interviews across all districts, this study examines variations in the decision making and strategizing processes of the health promotion teams. We identified three distinct styles of practice: KPI-driven practice (strategic, focussed on targets); relationship-driven practice (focussed on long-term goals); and equity-driven practice (directing resources to sites most in need). In adapting to KPIs, teams make trade-offs and choices. Some teams struggled to balance a moral imperative to attend to equity issues, with a practical need to meet implementation targets. We discuss how models of program scale-up and tracking could possibly evolve to recognize this complexity.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  KPI; ethnography; health promotion; intervention

Mesh:

Year:  2020        PMID: 32105325     DOI: 10.1093/heapro/daaa001

Source DB:  PubMed          Journal:  Health Promot Int        ISSN: 0957-4824            Impact factor:   2.483


  4 in total

1.  Implementation science should give higher priority to health equity.

Authors:  Ross C Brownson; Shiriki K Kumanyika; Matthew W Kreuter; Debra Haire-Joshu
Journal:  Implement Sci       Date:  2021-03-19       Impact factor: 7.960

2.  Scale-up of prevention programmes: sustained state-wide use of programme delivery software is explained by normalised self-organised adoption and non-adoption.

Authors:  Eileen Goldberg; Kathleen Conte; Victoria Loblay; Sisse Groen; Lina Persson; Christine Innes-Hughes; Jo Mitchell; Andrew Milat; Mandy Williams; Amanda Green; Penelope Hawe
Journal:  Implement Sci       Date:  2022-01-15       Impact factor: 7.327

3.  What helps older people persevere with yoga classes? A realist process evaluation of a COVID-19-affected yoga program for fall prevention.

Authors:  Abby Haynes; Heidi Gilchrist; Juliana S Oliveira; Anne Grunseit; Catherine Sherrington; Stephen Lord; Anne Tiedemann
Journal:  BMC Public Health       Date:  2022-03-08       Impact factor: 3.295

4.  Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data.

Authors:  Kathleen Conte; Leah Marks; Victoria Loblay; Sisse Grøn; Amanda Green; Christine Innes-Hughes; Andrew Milat; Lina Persson; Mandy Williams; Sarah Thackway; Jo Mitchell; Penelope Hawe
Journal:  BMC Public Health       Date:  2020-06-12       Impact factor: 3.295

  4 in total

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