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An explorative qualitative study on acceptability of physical activity assessment instruments among primary care professionals in southern Sydney

Overview of attention for article published in BMC Family Practice, September 2016
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2 tweeters

Citations

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1 Dimensions

Readers on

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17 Mendeley
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Title
An explorative qualitative study on acceptability of physical activity assessment instruments among primary care professionals in southern Sydney
Published in
BMC Family Practice, September 2016
DOI 10.1186/s12875-016-0536-6
Pubmed ID
Authors

Shona Nicole Dutton, Sarah May Dennis, Nicholas Zwar, Mark Fort Harris

Abstract

There are a substantial number of instruments for primary-care clinicians to assess physical-activity (PA). However, there are few studies that have explored the views of clinicians regarding comparative acceptability and ease of use. A better understanding of how clinicians perceive instruments could help overcome barriers, and inform future interventions. This study explored the acceptability of five PA-assessment instruments amongst a sample of Australian primary-care clinicians, including family-physicians (FP) and practice-nurses (PN). A purposive sample of FPs (N = 9) and PNs (N = 10) from eight family-practices in southern Sydney consented to participate. Stage-1 involved semi-structured interviews with participants to select preferred instruments. An analysis of the two preferred instruments was conducted as Stage-2, to identify differences in instrument purpose and content. Stage-3 involved participants using the two instruments, selected from Stage-1, for 12-weeks. At the end of this period, semi-structured interviews were repeated to explore clinician experience. Clinicians indicated preferences for the GP-Physical-Activity-Questionnaire and 3-Questionnaire Physical-Activity-Questionnaire. These instruments demonstrated distinct variations in content, theoretical orientation, and outcome measures. Reasons for preference included; variations in individual clinician PA levels, knowledge in PA-assessment and instrument features. Findings demonstrated two instruments as preferred. Reasons for preference related to internal characteristics of clinicians such as variations in the level of individual PA and external circumstances, such as instrument features.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Doctoral Student 2 12%
Student > Bachelor 2 12%
Student > Master 2 12%
Student > Ph. D. Student 1 6%
Other 2 12%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 4 24%
Nursing and Health Professions 3 18%
Psychology 2 12%
Social Sciences 2 12%
Materials Science 1 6%
Other 0 0%
Unknown 5 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 November 2016.
All research outputs
#14,861,841
of 22,889,074 outputs
Outputs from BMC Family Practice
#1,253
of 1,857 outputs
Outputs of similar age
#193,421
of 321,009 outputs
Outputs of similar age from BMC Family Practice
#20
of 33 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,857 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 321,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.