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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MODEM: A comprehensive approach to modelling outcome and costs impacts of interventions for dementia. Protocol paper
|
|---|---|
| Published in |
BMC Health Services Research, January 2017
|
| DOI | 10.1186/s12913-016-1945-x |
| Pubmed ID | |
| Authors |
Adelina Comas-Herrera, Martin Knapp, Raphael Wittenberg, Sube Banerjee, Ann Bowling, Emily Grundy, Carol Jagger, Nicolas Farina, Daniel Lombard, Klara Lorenz, David McDaid, On behalf of the MODEM Project group |
| Abstract |
The MODEM project (A comprehensive approach to MODelling outcome and costs impacts of interventions for DEMentia) explores how changes in arrangements for the future treatment and care of people living with dementia, and support for family and other unpaid carers, could result in better outcomes and more efficient use of resources. MODEM starts with a systematic mapping of the literature on effective and (potentially) cost-effective interventions in dementia care. Those findings, as well as data from a cohort, will then be used to model the quality of life and cost impacts of making these evidence-based interventions more widely available in England over the period from now to 2040. Modelling will use a suite of models, combining microsimulation and macrosimulation methods, modelling the costs and outcomes of care, both for an individual over the life-course from the point of dementia diagnosis, and for individuals and England as a whole in a particular year. Project outputs will include an online Dementia Evidence Toolkit, making evidence summaries and a literature database available free to anyone, papers in academic journals and other written outputs, and a MODEM Legacy Model, which will enable local commissioners of services to apply the model to their own populations. Modelling the effects of evidence-based cost-effective interventions and making this information widely available has the potential to improve the health and quality of life both of people with dementia and their carers, while ensuring that resources are used efficiently. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 6 | 46% |
| France | 1 | 8% |
| Luxembourg | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Scientists | 1 | 8% |
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 % |
|---|---|---|
| Spain | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 24 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Other | 3 | 12% |
| Researcher | 3 | 12% |
| Professor | 3 | 12% |
| Student > Master | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 19% |
| Social Sciences | 5 | 19% |
| Economics, Econometrics and Finance | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 September 2017.
All research outputs
#3,621,900
of 25,402,889 outputs
Outputs from BMC Health Services Research
#1,649
of 8,646 outputs
Outputs of similar age
#68,973
of 423,682 outputs
Outputs of similar age from BMC Health Services Research
#24
of 133 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,646 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 80% 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 423,682 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 83% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.