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Agreement between self-reported healthcare service use and administrative records in a longitudinal study of adults recently released from prison

Overview of attention for article published in Health & Justice, November 2016
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  • Good Attention Score compared to outputs of the same age (73rd percentile)

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Title
Agreement between self-reported healthcare service use and administrative records in a longitudinal study of adults recently released from prison
Published in
Health & Justice, November 2016
DOI 10.1186/s40352-016-0042-x
Pubmed ID
Authors

Megan Carroll, Georgina Sutherland, Anna Kemp-Casey, Stuart A. Kinner

Abstract

Studies of healthcare service use often rely on self-reported data, especially in disadvantaged populations. Despite this, the reliability of self-reported healthcare service use is often questioned and routinely-collected, administrative data are usually considered preferable. In this paper we examine the agreement between self-reported healthcare service use and administrative records, in a large cohort of adults recently released from prison in Australia. Baseline interviews within 6 weeks of expected release from prison and follow-up interviews at 1, 3 and 6 months post-release were linked to routinely-collected, administrative health records over the same time period. Outcomes of interest included use of primary care, emergency department presentation, hospitalisation and dispensing of subsidised pharmaceuticals. Kappa statistics and positive and negative predictive values were calculated for each service type and time point, and a modified Poisson regression was used to identify participant characteristics associated with better agreement. 864 participants completed interviews and were successfully linked to administrative records. There was good agreement between self-report and administrative health records. Agreement between data sources at 1 month was best for psychotropic medications (kappa = 0.79) and primary care visits (kappa = 0.69). Despite a common perception that studies using self-reported data are subject to bias, particularly among the disadvantaged, our findings suggest that self-reported healthcare may be valid in vulnerable populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Ph. D. Student 3 12%
Student > Postgraduate 2 8%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 4 15%
Unknown 10 38%
Readers by discipline Count As %
Medicine and Dentistry 6 23%
Social Sciences 3 12%
Psychology 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 11 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 May 2017.
All research outputs
#6,229,194
of 23,299,593 outputs
Outputs from Health & Justice
#96
of 210 outputs
Outputs of similar age
#112,036
of 417,570 outputs
Outputs of similar age from Health & Justice
#2
of 4 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has gotten more attention than average, scoring higher than 53% 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 417,570 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.