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Dove Medical Press

Perceived risk factors of health decline: a qualitative study of hospitalized patients with multimorbidity

Overview of attention for article published in Risk Management and Healthcare Policy, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
4 X users
facebook
1 Facebook page
video
1 YouTube creator

Readers on

mendeley
32 Mendeley
Title
Perceived risk factors of health decline: a qualitative study of hospitalized patients with multimorbidity
Published in
Risk Management and Healthcare Policy, April 2015
DOI 10.2147/rmhp.s79720
Pubmed ID
Authors

Kerry Kuluski, C Shawn Tracy, Ross E Upshur

Abstract

Effectively preventing and managing chronic illness are key goals for health systems worldwide. A growing number of people are living longer with multiple chronic illnesses, accompanied by a high degree of treatment burden and heavy use of health care resources. People with multimorbidity typically have to manage their care needs for a number of years, and from this experience may offer valuable perspectives on factors that influenced their health outcome. The purpose of this study was to explore factors that may serve as tipping points into poor health from the perspective of hospitalized patients with multimorbidity. Patient interview data were analyzed from 43 hospitalized patients with multimorbidities who indicated that something could have been done to either avoid or slow down their health decline. The study used qualitative description as the analytic method to generate themes from a specific question collected through one-on-one interviews. Two reviewers independently analyzed and thematically coded the data and reached consensus on the final themes after a series of meetings. According to patient accounts, factors at the personal level (eg, personal behaviors), provider level (eg, late diagnoses), and health care system level (eg, poor care transitions) contributed to their health decline. This paper focuses on prevention in the context of multimorbidity. While some respondents indicated personal behaviors that impacted health, many pointed to factors outside themselves (providers and the broader health system). The orientation of health care systems, historically designed to support acute and episodic care and not multimorbidity, places patients, at least in some cases, at additional risk of decline. The patient accounts suggest that the notion of prevention should evolve throughout the course of illness. A successful health system would embrace this notion and see the goal as forestalling not only mortality (as achieved for the most part in high socioeconomic nations) but morbidity as well. High rates of multimorbidity and health system challenges suggest that we have not yet achieved this latter aim.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 19%
Student > Doctoral Student 5 16%
Researcher 4 13%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 9%
Other 2 6%
Unknown 8 25%
Readers by discipline Count As %
Nursing and Health Professions 5 16%
Social Sciences 4 13%
Psychology 4 13%
Medicine and Dentistry 3 9%
Agricultural and Biological Sciences 2 6%
Other 4 13%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 December 2016.
All research outputs
#4,582,629
of 22,829,083 outputs
Outputs from Risk Management and Healthcare Policy
#132
of 616 outputs
Outputs of similar age
#58,468
of 264,613 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#2
of 6 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 616 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 78% 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 264,613 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 77% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.