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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Length of paediatric inpatient stay, socio-economic status and hospital configuration: a retrospective cohort study
|
|---|---|
| Published in |
BMC Health Services Research, April 2017
|
| DOI | 10.1186/s12913-017-2171-x |
| Pubmed ID | |
| Authors |
Michelle Heys, Matthew Rajan, Mitch Blair |
| Abstract |
Variation in paediatric inpatient length of stay exists - whether this is driven by differences in patient characteristics or health service delivery is unclear. We will test the hypotheses that higher levels of deprivation are associated with prolonged length of stay and that differences in prolonged length of stay across 2 hospitals will be explained by demographic, clinical and process factors. This is a retrospective cohort study of 2889 children aged less than 16 years admitted from 1st April 2009 to 30(th) March 2010. Administrative data were used from two UK hospitals whose Accident and Emergency (A&E) departments were paediatric and adult physician led respectively. The main outcome was prolonged length of stay defined as greater than or equal to the mean (1.8 days). Sensitivity analyses defined prolonged length of stay as greater than the median (1 day). Demographic, clinical and process characteristics were examined. Socio-economic position was measured by Income Deprivation Affecting Children Index. Multivariable logistic and linear regression analyses were performed. We did not find a consistent association between length of stay and socio-economic position, using a variety of definitions of length of stay. In contrast, adjusted for age, gender, socio-economic position, ethnicity, final diagnosis, number of hospital admissions, source of admission, and timing of admission, admission to the adult led A&E hospital was more strongly associated with prolonged length of stay (Odds Ratio 1.41, 95% Confidence Interval 1.16, 1.71). Local variation in paediatric inpatient length of stay was not explained by demographic, clinical or process factors, but could have been due to residual confounding by medical complexity. Length of stay was not consistently associated with socio-economic position suggesting that length of stay is a function of health service not the determinants of health. Analyses of these types of data would be strengthened by measures of complexity and adverse events. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 6 | 14% |
| Researcher | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Lecturer | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 41% |
| Nursing and Health Professions | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2022.
All research outputs
#16,082,858
of 23,860,205 outputs
Outputs from BMC Health Services Research
#5,816
of 7,940 outputs
Outputs of similar age
#197,191
of 312,076 outputs
Outputs of similar age from BMC Health Services Research
#99
of 133 outputs
Altmetric has tracked 23,860,205 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,940 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 17th percentile – i.e., 17% 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 312,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.