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Risk factors for not completing health interventions and the potential impact on health inequalities between educational groups – a mixed method study from Denmark

Overview of attention for article published in International Journal for Equity in Health, March 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Risk factors for not completing health interventions and the potential impact on health inequalities between educational groups – a mixed method study from Denmark
Published in
International Journal for Equity in Health, March 2016
DOI 10.1186/s12939-016-0344-6
Pubmed ID
Authors

Nanna Kure-Biegel, Christina Warrer Schnohr, Anette Lykke Hindhede, Finn Diderichsen

Abstract

Individual-based interventions aim to improve patient self-management of chronic disease and to improve lifestyle among people at high risk, to reduce the prevalence of diseases contributing to health inequality. The present study investigates risk factors for uncompleted health interventions, via a combination of quantitative and qualitative methods. From a health centre in Copenhagen, questionnaire data on educational level, gender, age, and cohabitation status from 104 participants in health interventions were used to examine risks for dropout. Qualitative telephone interviews further investigated risk factors among 17 participants who were registered as uncompleted. Our findings show that there is a significantly higher prevalence of uncompleted courses among participants below age 60 (OR 3.38, 95 % CI 1.08; 10.55) and an insignificantly higher prevalence among people with low education (OR 1.82, 95 % CI 0.66; 5.03). Qualitative elaboration of these findings points to low self-control in jobs and a higher degree of comorbidity and treatment of diseases among the lower educated as determinants for not completing, but not lower motivation or less positive attitude toward the intervention itself. This study indicates a social difference in dropout, and if dropout is to be prevented, there is a need to acknowledge factors such as organization of the intervention, lack of job flexibility, and comorbidity. If these factors are not addressed, people with low socioeconomic status will most likely have reduced opportunities for making healthy choices, in this case, completing the intervention, and this may increase health inequality.

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X Demographics

The data shown below were collected from the profiles of 5 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Student > Master 12 15%
Student > Bachelor 11 14%
Researcher 8 10%
Librarian 4 5%
Other 13 17%
Unknown 18 23%
Readers by discipline Count As %
Nursing and Health Professions 19 24%
Medicine and Dentistry 13 17%
Social Sciences 7 9%
Psychology 7 9%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 10 13%
Unknown 20 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 April 2016.
All research outputs
#7,420,543
of 22,858,915 outputs
Outputs from International Journal for Equity in Health
#1,144
of 1,908 outputs
Outputs of similar age
#107,032
of 301,001 outputs
Outputs of similar age from International Journal for Equity in Health
#19
of 36 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,908 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 39th percentile – i.e., 39% 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 301,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.