| Title |
Assessing the credibility and transferability of the patient compassion model in non-cancer palliative populations
|
|---|---|
| Published in |
BMC Palliative Care, September 2018
|
| DOI | 10.1186/s12904-018-0358-5 |
| Pubmed ID | |
| Authors |
Shane Sinclair, Priya Jaggi, Thomas F. Hack, Susan E. McClement, Shelley Raffin-Bouchal, Pavneet Singh |
| Abstract |
A lack of evidence and psychometrically sound measures of compassion necessitated the development of the first known, empirically derived, theoretical Patient Compassion Model (PCM) generated from qualitative interviews with advanced cancer inpatients. We aimed to assess the credibility and transferability of the PCM across diverse palliative populations and settings. Semi-structured, audio-recorded qualitative interviews were conducted with 20 patients with life-limiting diagnoses, recruited from 4 settings (acute care, homecare, residential care, and hospice). Participants were first asked to share their understandings and experiences of compassion. They were then presented with an overview of the PCM and asked to determine whether: 1) the model resonated with their understanding and experiences of compassion; 2) the model required any modification(s); 3) they had further insights on the model's domains and/or themes. Members of the research team analyzed the qualitative data using constant comparative analysis. Both patients' personal perspectives of compassion prior to viewing the model and their specific feedback after being provided an overview of the model confirmed the credibility and transferability of the PCM. While new codes were incorporated into the original coding schema, no new domains or themes emerged from this study sample. These additional codes provided a more comprehensive understanding of the nuances within the domains and themes of the PCM that will aid in the generation of items for an ongoing study to develop a patient reported measure of compassion. A diverse palliative patient population confirmed the credibility and transferability of the PCM within palliative care, extending the rigour and applicability of the PCM that was originally developed within an advanced cancer population. The views of a diverse palliative patient population on compassion helped to validate previous codes and supplement the existing coding schema, informing the development of a guiding framework for the generation of a patient-reported measure of compassion. |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 18% |
| Student > Bachelor | 12 | 14% |
| Student > Ph. D. Student | 8 | 9% |
| Researcher | 7 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 15 | 17% |
| Unknown | 25 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 21 | 24% |
| Medicine and Dentistry | 14 | 16% |
| Psychology | 8 | 9% |
| Business, Management and Accounting | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 31 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 January 2019.
All research outputs
#3,237,579
of 23,103,436 outputs
Outputs from BMC Palliative Care
#390
of 1,259 outputs
Outputs of similar age
#67,877
of 337,955 outputs
Outputs of similar age from BMC Palliative Care
#17
of 23 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,259 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 68% of its peers.
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