| Title |
Distress prior to undergoing hematopoietic stem cell transplantation: demographic and symptom correlations and establishing a baseline
|
|---|---|
| Published in |
Patient related outcome measures, September 2016
|
| DOI | 10.2147/prom.s109877 |
| Pubmed ID | |
| Authors |
Sean Robinson Smith, Mary Elizabeth Hobson, Andrew J Haig |
| Abstract |
Distress can arise from physical and/or psychosocial impairments and has been documented in patients after hematopoietic stem cell transplantation in the outpatient setting. It has not been evaluated in inpatients admitted to undergo the transplant, nor has potential correlations with length of hospital stay, physical function, and pain after receiving the transplant. To measure distress in patients admitted to the hospital to undergo hematopoietic stem cell transplantation, and to evaluate potential correlations with length of hospital stay, physical function, pain, and depression/anxiety. Eighty patients were given a questionnaire to report levels of distress and physical and psychosocial functioning. Hierarchical multiple regression analysis was used to test the relationship of demographic and transplant factors with length of stay (LOS), distress, presence of pain, and depression/anxiety. Patients reported pretransplant distress with an average score of 2.2 out of 10, and 16 out of 80 patients reported clinically relevant distress. Pain was reported by 42.5% of patients, and 28.8% reported depression/anxiety. Physical functioning was generally high. Distress was correlated with depression/anxiety (P-value <0.01) and pain (0.04) but not with LOS, physical function, patient age, or transplant type. LOS after receiving stem cell transplant was not related to pretransplant distress. Distress exists pretransplant but is generally low. Pain and the presence of depression/anxiety may be risk factors for distress. Measuring distress prior to transplant gives a baseline from which to measure changes, potentially leading to earlier intervention. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 29% |
| Other | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 24% |
| Psychology | 3 | 14% |
| Nursing and Health Professions | 2 | 10% |
| Social Sciences | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 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 16 September 2016.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Patient related outcome measures
#114
of 196 outputs
Outputs of similar age
#228,247
of 348,359 outputs
Outputs of similar age from Patient related outcome measures
#3
of 5 outputs
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