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Measuring outcomes of community aged care programs: challenges, opportunities and the Australian Community Outcomes Measurement ACCOM tool

Overview of attention for article published in Health and Quality of Life Outcomes, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
twitter
3 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

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13 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Measuring outcomes of community aged care programs: challenges, opportunities and the Australian Community Outcomes Measurement ACCOM tool
Published in
Health and Quality of Life Outcomes, May 2018
DOI 10.1186/s12955-018-0918-7
Pubmed ID
Authors

Beatriz Cardona

Abstract

Measuring health and wellbeing outcomes of community aged care programs is a complex task given the diverse settings in which care takes place and the intersection of numerous factors affecting an individual's quality of life outcomes. Knowledge of a strong causal relationship between services provided and the final outcome enables confidence in assuming the care provided was largely responsible for the outcome achieved (Courtney et al., Aust J Adv Nurs 26:49-57, 2009). The Department of Health has recently reported on the findings of The National Aged Care Quality Indicator Program - Home Care Pilot (KPMG, National Aged Care Quality Indicator Program - Home Care Pilot, 2017). The Program sought to test various tools to measure quality of life outcomes of their community aged care programs. Some of the key issues raised in the study reiterate the findings from The Australian Community Care Outcome Measurement (ACCOM) pilot study (Cardona et al., Australas J Ageing 36: 69-71, 2017), including the value of the ASCOT SCT4 tool (Adult Social care Outcomes Toolkit, http://www.pssru.ac.uk/ascot/downloads/questionnaires/sct4.pdf ) to measure social care related quality of life (SCRQoL) in community aged care programs in the Australian context, the collection of additional data to map the relationship of various variables such as functional ability, demographic characteristics and quality of life scores and the governance and administration of measurement tools for the purpose of quality reporting and consumer choice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 7 14%
Student > Bachelor 6 12%
Student > Doctoral Student 3 6%
Other 3 6%
Other 7 14%
Unknown 17 33%
Readers by discipline Count As %
Nursing and Health Professions 8 16%
Medicine and Dentistry 8 16%
Social Sciences 6 12%
Agricultural and Biological Sciences 3 6%
Environmental Science 2 4%
Other 4 8%
Unknown 20 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 18 December 2023.
All research outputs
#2,012,066
of 25,082,430 outputs
Outputs from Health and Quality of Life Outcomes
#106
of 2,281 outputs
Outputs of similar age
#41,544
of 337,750 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#9
of 75 outputs
Altmetric has tracked 25,082,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 95% 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 337,750 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 87% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.