| Literature DB >> 27812163 |
Kerstin A Kessel1,2, Sabrina Lettner1, Carmen Kessel1,3, Henning Bier4, Tilo Biedermann5, Helmut Friess6, Peter Herrschbach7, Jürgen E Gschwend8, Bernhard Meyer9, Christian Peschel10, Roland Schmid11, Markus Schwaiger12, Klaus-Dietrich Wolff13, Stephanie E Combs1,2,3.
Abstract
INTRODUCTION: To understand if and which patients would be open-minded to Complementary and Alternative Medicine (CAM) use parallel to their oncological treatment. Moreover, we sought to determine which methods are most accepted and which are the primary motivators to use CAM.Entities:
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Year: 2016 PMID: 27812163 PMCID: PMC5094772 DOI: 10.1371/journal.pone.0165801
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patient distribution according to the participating oncological units.
| Unit | Patients, n (%) | Gender | Median age (range) [years] | |
|---|---|---|---|---|
| Female | Male | |||
| all | 171 (100%) | 37.4% | 62.0% | 64 (17–87) |
| CEN | 26 (15.2%) | 50.0% | 46.2% | 59 (29–80) |
| DERMA | 11 (6.4%) | 27.3% | 72.7% | 71 (33–79) |
| ENDO | 11 (6.4%) | 72.7% | 27.3% | 37(17–71) |
| HEM | 24 (14.0%) | 50.0% | 50.0% | 60 (30–80) |
| NEURO | 37 (21.6%) | 51.4% | 48.6% | 66 (28–87) |
| SUR | 25 (14.6.) | 36.0% | 64.0% | 62 (39–76) |
| URO | 37 (21.6%) | 0% | 100% | 68 (54–77) |
Patient socio-demographic characteristics of the 171 participants.
| Diagnosis | Patients, n (%) |
|---|---|
| Prostate cancer | 39 (22.8%) |
| Lung cancer | 16 (9.4%) |
| Upper gastrointestinal cancer | 13 (7.6%) |
| Hepato-pancreato-biliary cancer | 12 (7.0%) |
| Lower gastrointestinal cancer | 13 (7.6%) |
| Hematological cancer | 8 (4.7%) |
| Brain tumors | 13 (7.6%) |
| Skin cancer | 11 (6.4%) |
| Thyroid cancer | 10 (5.8%) |
| Bone / Spine cancer | 11 (6.4%) |
| Other | 17 (9.9%) |
| Unknown | 8 (4.7%) |
| Received therapy | |
| Chemotherapy | 40 (23.4%) |
| Radiation therapy | 33 (19.3%) |
| Hormonal therapy | 1 (0.6%) |
| Surgery | 98 (57.3%) |
| Other | 16 (9.4%) |
| Unknown | 19 (11.1%) |
| Insurance status | |
| Government insurance | 41 (70.8%) |
| Privately insured | 125 (24.0%) |
| Unknown | 5 (2.3%) |
| Marital status | |
| Single | 17 (9.9%) |
| Married/in a relationship | 125 (73.1%) |
| Divorced/separated Widowed | 9 (5.3%) |
| Unknown | 1 (0.6%) |
| Children | |
| Yes | 124 (72.5%) |
| No | 44 (25.7%) |
| Unknown | 3 (1.8%) |
| Educational level | |
| Secondary (High) school 9 years | 44 (25.7%) |
| Secondary (High) school 10 years | 55 (32.2%) |
| Secondary (High) school 12–13 years | 13 (7.6%) |
| College / University | 52 (30.4%) |
| Other | 2 (1.2%) |
| Unknown | 5 (2.9%) |
| Monthly income (€) | |
| <1000 | 25 (14.6%) |
| 1000–2000 | 49 (28.7%) |
| 2000–3000 | 33 (19.3%) |
| 3000–5000 | 11 (6.4%) |
| >5000 | 14 (8.2%) |
| Unknown | 39 (22.8%) |
a multiple answers were possible
Fig 1User rate of CAM.
User rate of CAM during and before therapy. The percentage for all are calculated with n = 171; for the different units, the percentage of n = 26 / n = 56 are displayed for during and before therapy respectively.
Fig 2User rate of CAM.
User rates of CAM methods during oncological therapy (n = 26).
Fig 3User rate of CAM.
User rates of CAM methods before oncological therapy (n = 56).
Fig 4User motives.
Motives of oncological patients to use CAM (n = 171).