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Attention Score in Context
| Title |
Quantifying the demand for hospital care services: a time and motion study
|
|---|---|
| Published in |
BMC Health Services Research, January 2015
|
| DOI | 10.1186/s12913-014-0674-2 |
| Pubmed ID | |
| Authors |
Catharina J van Oostveen, Dirk J Gouma, Piet J Bakker, Dirk T Ubbink |
| Abstract |
BackgroundThe actual amount of care hospitalised patients need is unclear. A model to quantify the demand for hospital care services among various clinical specialties would avail healthcare professionals and managers to anticipate the demand and costs for clinical care.MethodsThree medical specialties in a Dutch university hospital participated in this prospective time and motion study. To include a representative sample of patients admitted to clinical wards, the most common admission diagnoses were selected from the most recent update of the national medical registry (LMR) of ICD-10 admission diagnoses. The investigators recorded the time spent by physicians and nurses on patient care. Also the costs involved in medical and nursing care, (surgical) interventions, and diagnostic procedures as an estimate of the demand for hospital care services per hospitalised patient were calculated and cumulated. Linear regression analysis was applied to determine significant factors including patient and healthcare outcome characteristics.ResultsFifty patients on the Surgery (19), Pediatrics (17), and Obstetrics & Gynecology (14) wards were monitored during their hospitalization. Characteristics significantly associated with the demand for healthcare were: polypharmacy during hospitalization, complication severity level, and whether a surgical intervention was performed.ConclusionsA set of predictors of the demand for hospital care services was found applicable to different clinical specialties. These factors can all be identified during hospitalization and be used as a managerial tool to monitor the patients¿ demand for hospital care services and to detect trends in time. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cyprus | 1 | 1% |
| Unknown | 68 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Bachelor | 6 | 9% |
| Student > Postgraduate | 6 | 9% |
| Researcher | 6 | 9% |
| Other | 12 | 17% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 20% |
| Nursing and Health Professions | 12 | 17% |
| Business, Management and Accounting | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Social Sciences | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 23 | 33% |
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 24 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from BMC Health Services Research
#6,462
of 7,623 outputs
Outputs of similar age
#255,910
of 351,834 outputs
Outputs of similar age from BMC Health Services Research
#62
of 78 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,623 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 7th percentile – i.e., 7% 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 351,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.