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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The triple whammy anxiety depression and osteoarthritis in long-term conditions
|
|---|---|
| Published in |
BMC Primary Care, October 2015
|
| DOI | 10.1186/s12875-015-0346-2 |
| Pubmed ID | |
| Authors |
Valerie Tan, Clare Jinks, Carolyn Chew-Graham, Emma L. Healey, Christian Mallen |
| Abstract |
Improving the management of people with long-term conditions is a key priority of the UK National Health Service. Whilst the coexistence of two or more long-term conditions in one person is increasingly the norm in primary care, guidelines and delivery of care remain focused on single disease management.Anxiety, depression and osteoarthritis are frequently comorbid with other long-term conditions and with each other, with up to 70 % of people with anxiety and depression also suffering from chronic pain. The relationships between anxiety, depression and pain are reciprocal, with each predicting and worsening the outcome of the others. Where these conditions occur in the context of other long-term conditions, further reduction in health-related quality of life and poorer clinical outcomes for all comorbid conditions is observed. It therefore follows that optimising the management of one comorbid condition should confer benefit to the other/s. Yet despite this, anxiety, depression and chronic pain are seldom prioritised by either patient or clinician, therefore remaining under-recognised and under-treated.Case-finding aims to identify and offer timely treatment to individuals with a given disease in a population at risk, therefore offering one possible solution. Yet case-finding is not without its problems, with well-recognised barriers including lack of time, cultural difficulties and inadequate resources and practitioner skills. So whilst the merits of why to actively seek these conditions is clear, how this may be best achieved is not. We explore the potential role of case-finding for anxiety, depression and osteoarthritis-related joint pain in individuals with comorbid long-term conditions, assessing whether adopting an integrated approach to care may allow opportunistic case-finding therefore promoting identification and timely management of these deleterious conditions. |
X Demographics
The data shown below were collected from the profiles of 45 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 | 8 | 18% |
| United States | 7 | 16% |
| Australia | 5 | 11% |
| New Zealand | 2 | 4% |
| Indonesia | 2 | 4% |
| Malaysia | 1 | 2% |
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Benin | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 12 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 71% |
| Scientists | 6 | 13% |
| Practitioners (doctors, other healthcare professionals) | 6 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 64 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 9 | 14% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Other | 13 | 20% |
| Unknown | 16 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 29% |
| Social Sciences | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 6% |
| Nursing and Health Professions | 3 | 5% |
| Neuroscience | 3 | 5% |
| Other | 13 | 20% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 21 September 2022.
All research outputs
#1,357,541
of 25,373,627 outputs
Outputs from BMC Primary Care
#109
of 2,359 outputs
Outputs of similar age
#19,683
of 291,148 outputs
Outputs of similar age from BMC Primary Care
#4
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 95% 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 291,148 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.