↓ Skip to main content

Secondary analysis of data can inform care delivery for Indigenous women in an acute mental health inpatient unit

Overview of attention for article published in International Journal of Mental Health Nursing, December 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
5 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Secondary analysis of data can inform care delivery for Indigenous women in an acute mental health inpatient unit
Published in
International Journal of Mental Health Nursing, December 2016
DOI 10.1111/inm.12289
Pubmed ID
Authors

Pat Bradley, Teresa Cunningham, Anne Lowell, Tricia Nagel, Sandra Dunn

Abstract

There is a paucity of research exploring Indigenous women's experiences in acute mental health inpatient services in Australia. Even less is known of Indigenous women's experience of seclusion events, as published data are rarely disaggregated by both indigeneity and gender. This research used secondary analysis of pre-existing datasets to identify any quantifiable difference in recorded experience between Indigenous and non-Indigenous women, and between Indigenous women and Indigenous men in an acute mental health inpatient unit. Standard separation data of age, length of stay, legal status, and discharge diagnosis were analysed, as were seclusion register data of age, seclusion grounds, and number of seclusion events. Descriptive statistics were used to summarize the data, and where warranted, inferential statistical methods used SPSS software to apply analysis of variance/multivariate analysis of variance testing. The results showed evidence that secondary analysis of existing datasets can provide a rich source of information to describe the experience of target groups, and to guide service planning and delivery of individualized, culturally-secure mental health care at a local level. The results are discussed, service and policy development implications are explored, and suggestions for further research are offered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Doctoral Student 3 11%
Student > Ph. D. Student 3 11%
Student > Bachelor 2 7%
Other 1 4%
Other 2 7%
Unknown 11 39%
Readers by discipline Count As %
Nursing and Health Professions 6 21%
Psychology 5 18%
Medicine and Dentistry 4 14%
Social Sciences 1 4%
Unknown 12 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2018.
All research outputs
#14,098,507
of 24,571,708 outputs
Outputs from International Journal of Mental Health Nursing
#1,169
of 1,449 outputs
Outputs of similar age
#212,193
of 430,401 outputs
Outputs of similar age from International Journal of Mental Health Nursing
#38
of 40 outputs
Altmetric has tracked 24,571,708 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 18th percentile – i.e., 18% 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 430,401 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.