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A description of health care system factors in the implementation of universal weight management services for children with overweight or obesity: case studies from Queensland and New South Wales…

Overview of attention for article published in Implementation Science, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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112 Mendeley
Title
A description of health care system factors in the implementation of universal weight management services for children with overweight or obesity: case studies from Queensland and New South Wales, Australia
Published in
Implementation Science, August 2018
DOI 10.1186/s13012-018-0801-2
Pubmed ID
Authors

Helen A. Vidgen, Penelope V. Love, Sonia E. Wutzke, Lynne A. Daniels, Chris E. Rissel, Christine Innes-Hughes, Louise A. Baur

Abstract

The prevalence of childhood obesity poses an urgent global challenge. The World Health Organization (WHO) Commission on Ending Childhood Obesity recommends the provision of appropriate family-based, lifestyle weight management services through universal health care to support families of children with overweight or obesity; however, there are few examples of their implementation 'at scale'. The purpose of this research was to compare and contrast the impact of system and organisational factors on the implementation of childhood obesity management services within two Australian States (New South Wales and Queensland) to comprehensively describe their influence on the achievement of the WHO recommendation. Purposeful stratified sampling was used to select health service study sites (n = 16) representative of program implementation (none, discontinued, repeated) and geographic location within each State. Within each health service site, staff involved in program delivery, co-ordination and management roles participated (n = 39). An additional 11 staff involved in implementation at State level also participated. The Consolidated Framework for Implementation Research (CFIR) was used to develop interview scripts. Telephone interviews were recorded and transcribed. Transcripts were thematically coded and scored according to CFIR constructs and rating rules to identify enablers and barriers to implementation according to sample characteristics. New South Wales achieved ongoing implementation; Queensland did not. Enablers included a quality evidence-based program, State government recognition of the urgency of the health issue and a commitment to address it, formally appointed and funded internal implementation leaders, strong communication and reporting at all levels. Barriers included the complexity of the health issue, in particular a lack of clear roles and responsibilities for local health service delivery, inadequate ongoing funding and challenges in meeting the diverse needs of families. This research is an important progression of the evidence base in relation to the translation of childhood obesity management trials into routine health service delivery. Understanding enablers and barriers to program implementation 'at scale' is imperative to inform future planning and investment by Australia and WHO member states to meet their commitment to deliver childhood weight management services as part of universal health coverage.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 22%
Student > Master 12 11%
Student > Bachelor 9 8%
Student > Ph. D. Student 8 7%
Student > Doctoral Student 7 6%
Other 13 12%
Unknown 38 34%
Readers by discipline Count As %
Medicine and Dentistry 23 21%
Nursing and Health Professions 21 19%
Social Sciences 10 9%
Biochemistry, Genetics and Molecular Biology 3 3%
Psychology 3 3%
Other 13 12%
Unknown 39 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 March 2023.
All research outputs
#2,589,654
of 25,765,370 outputs
Outputs from Implementation Science
#519
of 1,821 outputs
Outputs of similar age
#50,091
of 341,835 outputs
Outputs of similar age from Implementation Science
#15
of 38 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,835 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.