| Title |
Person Centered Care and Personalized Medicine: Irreconcilable Opposites or Potential Companions?
|
|---|---|
| Published in |
Health Care Analysis, September 2017
|
| DOI | 10.1007/s10728-017-0347-5 |
| Pubmed ID | |
| Authors |
Leila El-Alti, Lars Sandman, Christian Munthe |
| Abstract |
In contrast to standardized guidelines, personalized medicine and person centered care are two notions that have recently developed and are aspiring for more individualized health care for each single patient. While having a similar drive toward individualized care, their sources are markedly different. While personalized medicine stems from a biomedical framework, person centered care originates from a caring perspective, and a wish for a more holistic view of patients. It is unclear to what extent these two concepts can be combined or if they conflict at fundamental or pragmatic levels. This paper reviews existing literature in both medicine and related philosophy to analyze closer the meaning of the two notions, and to explore the extent to which they overlap or oppose each other, in theory or in practice, in particular regarding ethical assumptions and their respective practical implications. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 120 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 15% |
| Researcher | 12 | 10% |
| Student > Master | 11 | 9% |
| Student > Bachelor | 11 | 9% |
| Other | 7 | 6% |
| Other | 26 | 22% |
| Unknown | 35 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 13% |
| Nursing and Health Professions | 15 | 13% |
| Social Sciences | 9 | 8% |
| Psychology | 9 | 8% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 28 | 23% |
| Unknown | 39 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 November 2020.
All research outputs
#3,194,434
of 24,635,922 outputs
Outputs from Health Care Analysis
#52
of 312 outputs
Outputs of similar age
#57,187
of 322,926 outputs
Outputs of similar age from Health Care Analysis
#4
of 6 outputs
Altmetric has tracked 24,635,922 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 312 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 83% 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 322,926 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 82% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.