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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of hospital patients in need of palliative care – a predictive score
|
|---|---|
| Published in |
BMC Palliative Care, February 2016
|
| DOI | 10.1186/s12904-016-0094-7 |
| Pubmed ID | |
| Authors |
Cornelia Meffert, Gerta Rücker, Isaak Hatami, Gerhild Becker |
| Abstract |
Palliative care was initially developed for patients with advanced cancer. Over the past years, however, palliative care has broadened its focus from terminal cancer patients to patients with other serious, life-limiting illnesses. Nevertheless, the identification of palliative care needs (PCNs) among hospital patients remains an insufficiently investigated topic of research. The aim of our study was to describe the characteristics of hospital patients with palliative care needs and to develop a score for their identification. We conducted an epidemiological study. Data were collected prospectively from inpatients at the University Medical Center Freiburg, Germany. For each patient discharged from a hospital ward, the treating physician had to report whether the patient had PCNs or not. The response rate was 96 %, and data from 39,849 patients could be analyzed. A binary logistic regression analysis was performed in order to identify risk factors for developing PCNs and to develop a predictive score for the identification of patients with PCNs upon their admission to the hospital. In order to validate the risk prediction model, we used a bootstrap analysis. During the study period, 6.9 % (2757) of all patients had palliative care needs. Only 56 of them (2 %) received palliative treatment. Binary logistic regression analysis showed that older patients without relatives who suffered from metastatic cancer and/or liver cirrhosis had the highest risk of developing palliative care needs (PCN-score; sensitivity: 0.815; specificity: 0.640). Given the aging population and associated increase in the number of patients requiring palliative care, it is crucial to detect palliative care needs in hospital patients with both cancerous and non-cancerous life-limiting diseases. Our predictive score contributes to the identification of palliative care needs in patients with life-limiting diseases, which allows physicians to take the appropriate therapeutic steps. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Canada | 1 | 13% |
| New Zealand | 1 | 13% |
| United Kingdom | 1 | 13% |
| Australia | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Practitioners (doctors, other healthcare professionals) | 3 | 38% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 106 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 18% |
| Researcher | 15 | 14% |
| Other | 10 | 9% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Doctoral Student | 7 | 6% |
| Other | 22 | 20% |
| Unknown | 25 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 31% |
| Nursing and Health Professions | 17 | 16% |
| Psychology | 9 | 8% |
| Unspecified | 5 | 5% |
| Social Sciences | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 28 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 21 March 2016.
All research outputs
#2,584,827
of 24,920,664 outputs
Outputs from BMC Palliative Care
#276
of 1,441 outputs
Outputs of similar age
#39,789
of 304,683 outputs
Outputs of similar age from BMC Palliative Care
#10
of 37 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,441 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 80% 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 304,683 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 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.