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Care plans and care planning in long-term conditions: a conceptual model

Overview of attention for article published in Primary Health Care Research & Development (Cambridge University Press / UK), July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
72 Mendeley
Title
Care plans and care planning in long-term conditions: a conceptual model
Published in
Primary Health Care Research & Development (Cambridge University Press / UK), July 2013
DOI 10.1017/s1463423613000327
Pubmed ID
Authors

Jenni Burt, Jo Rick, Thomas Blakeman, Joanne Protheroe, Martin Roland, Pete Bower

Abstract

The prevalence and impact of long-term conditions continues to rise. Care planning for people with long-term conditions has been a policy priority for chronic disease management in a number of health-care systems. However, patients and providers appear unclear about the formulation and implementation of care planning. Further work in this area is therefore required to inform the development, implementation and evaluation of future care planning initiatives. We distinguish between 'care planning' (the process by which health-care professionals and patients discuss, agree and review an action plan to achieve the goals or behaviour change of most relevance and concern to the patient) and a 'care plan' (a written document recording the outcome of a care planning process). We propose a typology of care planning and care plans with three core dimensions: perspective (patient or professional), scope (a focus on goals or on behaviours) and networks (confined to the professional-patient dyad or extending to the entire care network). In addition, we draw on psychological models of mediation and moderation to outline potential mechanisms through which care planning and care plans may lead to improved outcomes for both patients and the wider health-care system. The proposed typology of care planning and care plans offered here, along with the model of the process by which care planning may influence outcomes, provide a useful framework for future policy developments and evaluations. Empirical work is required to explore the degree to which current care planning approaches and care plans can be described according to these dimensions, and the factors that determine which types of patients and professionals use which type of care plans.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Colombia 1 1%
Unknown 70 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 18%
Student > Ph. D. Student 10 14%
Researcher 9 13%
Unspecified 7 10%
Student > Postgraduate 6 8%
Other 27 38%
Readers by discipline Count As %
Nursing and Health Professions 23 32%
Medicine and Dentistry 20 28%
Unspecified 9 13%
Social Sciences 7 10%
Psychology 5 7%
Other 8 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 October 2018.
All research outputs
#3,446,077
of 13,693,516 outputs
Outputs from Primary Health Care Research & Development (Cambridge University Press / UK)
#81
of 283 outputs
Outputs of similar age
#36,616
of 155,977 outputs
Outputs of similar age from Primary Health Care Research & Development (Cambridge University Press / UK)
#2
of 5 outputs
Altmetric has tracked 13,693,516 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 283 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 71% 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 155,977 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 76% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.