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Analysis of data items and gaps in Australia's national mental health services activity and capacity data collections for integrated regional service planning.

Overview of attention for article published in Health Information Management Journal, June 2023
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
Analysis of data items and gaps in Australia's national mental health services activity and capacity data collections for integrated regional service planning.
Published in
Health Information Management Journal, June 2023
DOI 10.1177/18333583231175770
Pubmed ID
Authors

Claudia Pagliaro, Arabella Mundie, Harvey Whiteford, Sandra Diminic

Abstract

Background: Services data are an important source of information for policymakers and planners. In Australia, significant work has been undertaken to develop and implement collections of mental health services data. Given this level of investment, it is important that collected data are fit for purpose. Objective: This study aimed to: (1) identify existing national mandated and best endeavours collections of mental health services activity (e.g. occasions of service) and capacity (e.g. full-time equivalent staff) data in Australia; and (2) review the content of identified data collections to determine opportunities for data development. Method: A grey literature search was conducted to identify data collections. Where available, metadata and/or data were analysed. Results: Twenty data collections were identified. For services that received funding via multiple funding streams, data were often captured across several collections corresponding with each funder. There was significant variability in the content and format of collections. Unlike other service sectors, there is no national, mandated collection for psychosocial support services. Some collections have limited utility as they do not include key activity data; others do not include descriptive variables like service type. Workforce data are often not collected, and where data are collected, they are often not comprehensive. Conclusion: Findings are an important source of information for policymakers and planners who use services data to inform priorities. Implications: This study provides recommendations for data development, including mandating standardised reporting for psychosocial supports, filling workforce data gaps, streamlining data collections and including key missing data items in some collections.

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Attention Score in Context

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 07 June 2023.
All research outputs
#15,184,741
of 25,394,764 outputs
Outputs from Health Information Management Journal
#107
of 176 outputs
Outputs of similar age
#170,958
of 384,727 outputs
Outputs of similar age from Health Information Management Journal
#2
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 176 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 37th percentile – i.e., 37% 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 384,727 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 53% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.