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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The association between mental health nursing and hospital admissions for people with serious mental illness: a protocol for a systematic review
|
|---|---|
| Published in |
Systematic Reviews, January 2018
|
| DOI | 10.1186/s13643-017-0658-5 |
| Pubmed ID | |
| Authors |
Matthew J. Leach, Martin Jones, Dan Bressington, Fiona Nolan, Adrian Jones, Kuda Muyambi, Marianne Gillam, Richard Gray |
| Abstract |
Relapse in individuals with severe mental illness (SMI) is a frequent occurrence and can add considerably to the burden of disease. As such, relapse prevention is an essential therapeutic outcome for people with SMI. Mental health nurses (MHNs) are well placed to support individuals with SMI and to prevent relapse; notwithstanding, there has been no synthesis of the evidence to date to determine whether MHNs prevent relapse in this population. Electronic databases will be systemically searched for observational studies and clinical trials that report the association between mental health nursing and the hospitalisation of persons living with an SMI. The search will be supplemented by reference checking and a search of the grey literature. The primary outcome of interest will be hospital admission rate. Screening of articles, data extraction and critical appraisal will be undertaken by two reviewers, independently, with a third reviewer consulted should disagreement occur between reviewers. The quality of studies will be assessed using the Risk Of Bias In Non-randomised Studies - of Interventions (ROBINS-I) tool and the Cochrane Collaboration risk of bias tool. Depending on the number of studies and level of heterogeneity, the evidence may be synthesised using meta-analysis or narrative synthesis. This review will explore for the first time the clinical potential of mental health nursing in preventing relapse in persons with SMI. The findings of this review will serve to inform future research and education in this area. The evidence may also help inform future policy, including decisions regarding future mental health workforce development and planning. PROSPERO CRD42017058694 . |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 41% |
| Canada | 2 | 12% |
| Australia | 2 | 12% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 7 | 41% |
| Scientists | 4 | 24% |
| Members of the public | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 17% |
| Researcher | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 29 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 16 | 24% |
| Medicine and Dentistry | 6 | 9% |
| Psychology | 6 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 29 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 04 April 2022.
All research outputs
#2,196,261
of 25,055,009 outputs
Outputs from Systematic Reviews
#359
of 2,184 outputs
Outputs of similar age
#49,397
of 455,294 outputs
Outputs of similar age from Systematic Reviews
#19
of 60 outputs
Altmetric has tracked 25,055,009 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 2,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 83% 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 455,294 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 89% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.