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Referring to multimodal rehabilitation for patients with musculoskeletal disorders – a register study in primary health care

Overview of attention for article published in BMC Health Services Research, January 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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1 policy source
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Citations

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3 Dimensions

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51 Mendeley
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Title
Referring to multimodal rehabilitation for patients with musculoskeletal disorders – a register study in primary health care
Published in
BMC Health Services Research, January 2017
DOI 10.1186/s12913-016-1948-7
Pubmed ID
Authors

Charlotte Post Sennehed, Sara Holmberg, Kjerstin Stigmar, Malin Forsbrand, Ingemar F. Petersson, Anja Nyberg, Birgitta Grahn

Abstract

In 2008, the Swedish government introduced a National Rehabilitation Program, in which the government financially reimburses the county councils for evidence-based multimodal rehabilitation (MMR) interventions. The target group is patients of working age with musculoskeletal disorders (MSD), expected to return to work or remain at work after rehabilitation. Much attention in the evaluations has been on patient outcomes and on processes. We lack knowledge about how factors related to health care providers and community can have an impact on how patients have access to MMR. The aim of this study was therefore to study the impact of health care provider and community related factors on referrals to MMR in patients with MSD applying for health care in primary health care. This was a primary health care-based cohort study based on prospectively ascertained register data. All primary health care centres (PHCC) contracted in Region Skåne in 2010-2012, referring to MMR were included (n = 153). The health care provider factors studied were: community size, PHCC size, public or private PHCC, whether or not the PHCCs provided their own MMR, burden of illness and the community socioeconomic status among the registered population at the PHCCs. The results are presented with descriptive statistics and for the analysis, non-parametric and multiple linear regression analyses were applied. PHCCs located in larger communities sent more referrals/1000 registered population (p = 0.020). Private PHCCs sent more referrals/1000 registered population compared to public units (p = 0.035). Factors related to more MMR referrals/1000 registered population in the multiple regression analyses were PHCCs located in medium and large communities and with above average socioeconomic status among the registered population at the PHCCs, private PHCC and PHCCs providing their own MMR. The explanation degree for the final model was 24.5%. We found that referral rates to MMR were positively associated with PHCCs located in medium and large sized communities with higher socioeconomic status among the registered population, private PHCCs and PHCCs providing their own MMR. Patients with MSD are thus facing significant inequities and were thus not offered the same opportunities for referrals to rehabilitation regardless of which PHCC they visited.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Ph. D. Student 7 14%
Researcher 5 10%
Student > Bachelor 4 8%
Other 4 8%
Other 8 16%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Nursing and Health Professions 8 16%
Social Sciences 6 12%
Psychology 4 8%
Engineering 2 4%
Other 5 10%
Unknown 17 33%
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 20 December 2022.
All research outputs
#7,163,125
of 23,383,275 outputs
Outputs from BMC Health Services Research
#3,509
of 7,818 outputs
Outputs of similar age
#132,045
of 423,332 outputs
Outputs of similar age from BMC Health Services Research
#54
of 121 outputs
Altmetric has tracked 23,383,275 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,818 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 53% 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 423,332 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 67% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.