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The impact of substituting general practitioners with nurse practitioners on resource use, production and health-care costs during out-of-hours: a quasi-experimental study

Overview of attention for article published in BMC Primary Care, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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2 policy sources
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6 X users
facebook
1 Facebook page

Citations

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22 Dimensions

Readers on

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124 Mendeley
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Title
The impact of substituting general practitioners with nurse practitioners on resource use, production and health-care costs during out-of-hours: a quasi-experimental study
Published in
BMC Primary Care, September 2016
DOI 10.1186/s12875-016-0528-6
Pubmed ID
Authors

Mieke Van Der Biezen, Eddy Adang, Regi Van Der Burgt, Michel Wensing, Miranda Laurant

Abstract

The pressure in out-of-hours primary care is high due to an increasing demand for care and rising health-care costs. During the daytime, substituting general practitioners (GPs) with nurse practitioners (NPs) shows positive results to contribute to these challenges. However, there is a lack of knowledge about the impact during out-of-hours. The current study aims to provide an insight into the impact of substitution on resource use, production and direct health-care costs during out-of-hours. At a general practitioner cooperative (GPC) in the south-east of the Netherlands, experimental teams with four GPs and one NP were compared with control teams with five GPs. In a secondary analysis, GP care versus NP care was also examined. During a 15-month period all patients visiting the GPC on weekend days were included. The primary outcome was resource use including X-rays, drug prescriptions and referrals to the Emergency Department (ED). We used logistic regression to adjust for potential confounders. Secondary outcomes were production per hour and direct health-care costs using a cost-minimization analysis. We analysed 6,040 patients in the experimental team (NPs: 987, GPs: 5,053) and 6,052 patients in the control team. There were no significant differences in outcomes between the teams. In the secondary analysis, in the experimental team NP care was associated with fewer drug prescriptions (NPs 37.1 %, GPs 43 %, p < .001) and fewer referrals to the ED (NPs 5.1 %, GPs 11.3 %, p = .001) than GP care. The mean production per hour was 3.0 consultations for GPs and 2.4 consultations for NPs (p < .001). The cost of a consultation with an NP was €3.34 less than a consultation with a GP (p = .02). These results indicated no overall differences between the teams. Nonetheless, a comparison of type of provider showed that NP care resulted in lower resource use and cost savings than GP care. To find the optimal balance between GPs and NPs in out-of-hours primary care, more research is needed on the impact of increasing the ratio of NPs in a team with GPs on resource use and health-care costs. ClinicalTrials.gov ID NCT01388374 .

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 23%
Researcher 14 11%
Student > Ph. D. Student 9 7%
Student > Bachelor 9 7%
Student > Doctoral Student 7 6%
Other 18 15%
Unknown 39 31%
Readers by discipline Count As %
Medicine and Dentistry 28 23%
Nursing and Health Professions 28 23%
Social Sciences 6 5%
Business, Management and Accounting 4 3%
Economics, Econometrics and Finance 3 2%
Other 13 10%
Unknown 42 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 August 2020.
All research outputs
#3,113,082
of 25,371,288 outputs
Outputs from BMC Primary Care
#413
of 2,359 outputs
Outputs of similar age
#49,773
of 330,885 outputs
Outputs of similar age from BMC Primary Care
#11
of 33 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% 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 well, scoring higher than 82% 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 330,885 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 84% of its contemporaries.
We're also able to compare this research output to 33 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 66% of its contemporaries.