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Characteristics of a stratified random sample of New Zealand general practices

Overview of attention for article published in Journal of Primary Health Care, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 333)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 news outlet
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6 X users
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2 Facebook pages

Readers on

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22 Mendeley
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Article details
Title
Characteristics of a stratified random sample of New Zealand general practices
Published in
Journal of Primary Health Care, May 2018
DOI 10.1071/hc17089
Pubmed ID
Authors
Abstract

INTRODUCTION Practice size and location may affect the quality and safety of health care. Little is known about contemporary New Zealand general practice characteristics in terms of staffing, ownership and services. AIM To describe and compare the characteristics of small, medium and large general practices in rural and urban New Zealand. METHODS Seventy-two general practices were randomly selected from the 2014 Primary Health Organisation database and invited to participate in a records review study. Forty-five recruited practices located throughout New Zealand provided data on staff, health-care services and practice ownership. Chi-square and other non-parametric statistical analyses were used to compare practices. RESULTS The 45 study practices constituted 4.6% of New Zealand practices. Rural practices were located further from the nearest regional base hospital (rural median 65.0 km, urban 7.5 km (P < 0.001)), nearest local hospital (rural 25.7 km, urban 7.0 km (P = 0.002)) and nearest neighbouring general practitioner (GP) (rural 16.0 km, urban 1.0 km (P = 0.007)). In large practices, there were more enrolled patients per GP FTE than both medium-sized and small practices (mean 1827 compared to 1457 and 1120 respectively, P = 0.019). Nurses in large practices were more likely to insert intravenous lines (P = 0.026) and take blood (P = 0.049). There were no significant differences in practice ownership arrangements according to practice size or rurality. CONCLUSION Study practices were relatively homogenous. Unsurprisingly, rural practices were further away from hospitals. Larger practices had higher patient-to-doctor ratios and increased nursing scope. The study sample is small; findings need to be confirmed by specifically powered research.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 18%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 9%
Professor 2 9%
Lecturer > Senior Lecturer 1 5%
Other 5 23%
Unknown 5 23%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 4 18%
Medicine and Dentistry 4 18%
Psychology 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Economics, Econometrics and Finance 1 5%
Other 2 9%
Unknown 6 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 17 August 2018.
All research outputs
#2,644,799
of 27,878,031 outputs
Outputs from Journal of Primary Health Care
#23
of 333 outputs
Outputs of similar age
#47,919
of 348,914 outputs
Outputs of similar age from Journal of Primary Health Care
#2
of 9 outputs
Altmetric has tracked 27,878,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 333 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 93% 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 348,914 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 86% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.