| Title |
Pre-intervention distress moderates the efficacy of psychosocial treatment for cancer patients: a meta-analysis
|
|---|---|
| Published in |
Journal of Behavioral Medicine, September 2009
|
| DOI | 10.1007/s10865-009-9227-2 |
| Pubmed ID | |
| Authors |
Stefan Schneider, Anne Moyer, Sarah Knapp-Oliver, Stephanie Sohl, Dolores Cannella, Valerie Targhetta |
| Abstract |
This meta-analysis examined whether effects of psychosocial interventions on psychological distress in cancer patients are conditional upon pre-intervention distress levels. Published articles and unpublished dissertations between 1980 and 2005 were searched for interventions reporting the Hospital Anxiety and Depression Scale (HADS) or the Spielberger State-Trait Anxiety Inventory (STAI). Multilevel mixed-effects modeling was used to meta-analyze effect-sizes separately for the HADS (27 trials, 2,424 patients) and STAI (34 trials, 2,029 patients). Pre-intervention distress significantly moderated intervention effects, explaining up to 50% of the between-study effect-size variance: effects on anxiety and depression were generally negligible when pre-intervention distress was low and pronounced when it was high. These results could not be explained by differences in intervention type, setting, dose, and whether intervention was targeted at distressed patients. Psychosocial interventions may be most beneficial for cancer patients with elevated distress. Future research should identify which treatment components are most effective for these patients to facilitate optimal treatment tailoring and cost-effective health care. |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Chile | 1 | <1% |
| Greece | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 127 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 18% |
| Researcher | 15 | 11% |
| Student > Doctoral Student | 12 | 9% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 32 | 24% |
| Unknown | 31 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 44 | 33% |
| Medicine and Dentistry | 20 | 15% |
| Nursing and Health Professions | 9 | 7% |
| Social Sciences | 8 | 6% |
| Unspecified | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 36 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 02 January 2018.
All research outputs
#2,173,226
of 22,721,584 outputs
Outputs from Journal of Behavioral Medicine
#176
of 1,069 outputs
Outputs of similar age
#7,247
of 93,506 outputs
Outputs of similar age from Journal of Behavioral Medicine
#1
of 2 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 83% of its peers.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them