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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and evaluation of a nurse-led, tailored stroke self-management intervention
|
|---|---|
| Published in |
BMC Health Services Research, September 2015
|
| DOI | 10.1186/s12913-015-1021-y |
| Pubmed ID | |
| Authors |
Lisa Kidd, Maggie Lawrence, Jo Booth, Anne Rowat, Sian Russell |
| Abstract |
Community nurses are well placed to promote and support stroke survivors to engage in self-management. The aim of this study was to develop a stroke self-management intervention that could be tailored towards stroke survivors' self-management needs, goals and levels of activation, in the first year post-stroke. Mixed method study, designed in accordance with the British Medical Research Council's (MRC) guidance for the development and evaluation of complex interventions. The intervention was developed and evaluated in two phases. The intervention was underpinned by the theoretical concept of patient activation and was developed based on a review of published research on stroke self-management interventions and qualitative interviews and focus groups (phase 1). It was evaluated using qualitative interviews and focus groups with stroke survivors and stroke nurses (phase 2). Participants comprised 26 stroke survivors, between 3 and 12 months post stroke and 16 stroke nurses, from across three NHS Boards in Scotland. The intervention consisted of a tailored self-management action plan, incorporating an individualised assessment of stroke survivor's readiness to self-manage (using the Patient Activation Measure), goal setting and motivational interviewing. Evaluation showed that many of the individual components of the intervention were perceived as feasible and acceptable to both stroke survivors and stroke nurses. To our knowledge, this is the first UK study to explore the use of patient activation as a theoretical underpinning in stroke self-management research and to involve stroke survivors and stroke nurses in the design and development of a tailored, person-centred stroke self-management support intervention. The study findings provide the first step in understanding how to effectively develop and deliver stroke self-management support interventions to stroke survivors living at home in the first year following stroke. Further work is needed to develop and refine the intervention and identify how to effectively embed it into nurses' routine clinical practice. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Indonesia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 145 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 15% |
| Researcher | 21 | 14% |
| Student > Ph. D. Student | 20 | 13% |
| Student > Bachelor | 15 | 10% |
| Student > Postgraduate | 6 | 4% |
| Other | 28 | 19% |
| Unknown | 37 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 46 | 31% |
| Medicine and Dentistry | 25 | 17% |
| Psychology | 12 | 8% |
| Neuroscience | 6 | 4% |
| Computer Science | 5 | 3% |
| Other | 10 | 7% |
| Unknown | 45 | 30% |
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 27 April 2017.
All research outputs
#14,869,034
of 23,881,329 outputs
Outputs from BMC Health Services Research
#5,272
of 7,949 outputs
Outputs of similar age
#140,094
of 269,524 outputs
Outputs of similar age from BMC Health Services Research
#94
of 146 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,949 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 33rd percentile – i.e., 33% 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 269,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.