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Nurse staffing and patient outcomes: a longitudinal study on trend and seasonality

Overview of attention for article published in BMC Nursing, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 977)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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87 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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46 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
3 CiteULike
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Title
Nurse staffing and patient outcomes: a longitudinal study on trend and seasonality
Published in
BMC Nursing, October 2016
DOI 10.1186/s12912-016-0181-3
Pubmed ID
Authors

Jianghua He, Vincent S. Staggs, Sandra Bergquist-Beringer, Nancy Dunton

Abstract

Time trends and seasonal patterns have been observed in nurse staffing and nursing-sensitive patient outcomes in recent years. It is unknown whether these changes were associated. Quarterly unit-level nursing data in 2004-2012 were extracted from the National Database of Nursing Quality Indicators® (NDNQI®). Units were divided into groups based on patterns of missing data. All variables were aggregated across units within these groups and analyses were conducted at the group level. Patient outcomes included rates of inpatient falls and hospital-acquired pressure ulcers. Staffing variables included total nursing hours per patient days (HPPD) and percent of nursing hours provided by registered nurses (RN skill-mix). Weighted linear mixed models were used to examine the associations between nurse staffing and patient outcomes at trend and seasonal levels. At trend level, both staffing variables were inversely associated with all outcomes (p < 0.001); at seasonal level, total HPPD was inversely associated (higher staffing related to lower event rate) with all outcomes (p < 0.001) while RN skill-mix was positively associated (higher staffing related to higher event rate) with fall rate (p < 0.001) and pressure ulcer rate (p = 0.03). It was found that total HPPD tended to be lower and RN skill-mix tended to be higher in Quarter 1 (January-March) when falls and pressure ulcers were more likely to happen. By aggregating data across units we were able to detect associations between nurse staffing and patient outcomes at both trend and seasonal levels. More rigorous research is needed to study the underlying mechanism of these associations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 87 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 140 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 26%
Researcher 19 13%
Student > Ph. D. Student 15 11%
Student > Bachelor 14 10%
Student > Doctoral Student 7 5%
Other 24 17%
Unknown 25 18%
Readers by discipline Count As %
Nursing and Health Professions 78 55%
Medicine and Dentistry 20 14%
Social Sciences 5 4%
Business, Management and Accounting 3 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 7 5%
Unknown 27 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 63. 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 12 September 2018.
All research outputs
#691,706
of 25,698,912 outputs
Outputs from BMC Nursing
#9
of 977 outputs
Outputs of similar age
#13,039
of 327,194 outputs
Outputs of similar age from BMC Nursing
#1
of 13 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 977 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 327,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.