| Literature DB >> 36136869 |
Shoichi Maeda1,2, Eisuke Nakazawa3, Etsuko Kamishiraki4, Eri Ishikawa1,5, Maho Murata1,6, Katsumi Mori3, Akira Akabayashi3,7.
Abstract
(1) Background: To what extent is information manipulation by doctors acceptable? To answer this question, we conducted an exploratory study aimed at obtaining basic data on descriptive ethics for considering this issue. (2)Entities:
Keywords: Japan; information manipulation; informed consent; patient-doctor relationship; prognosis disclosure; trust; truth-telling
Year: 2022 PMID: 36136869 PMCID: PMC9498308 DOI: 10.3390/clinpract12050075
Source DB: PubMed Journal: Clin Pract ISSN: 2039-7275
Attributes of the respondents and their employing medical institutions.
| Number of Respondents (%) | |||
|---|---|---|---|
| Sex | Male | 888 | (94.5%) |
| Female | 52 | (5.5%) | |
| Age | 20–39 years | 26 | (2.8%) |
| 40–59 years | 582 | (61.6%) | |
| Over 60 years | 337 | (35.7%) | |
| Area | Hokkaido/Tohoku | 135 | (14.3%) |
| Shinetsu/Hokuriku | 63 | (6.7%) | |
| Kanto | 226 | (23.9%) | |
| Tokai | 112 | (11.9%) | |
| Kinki | 159 | (16.8%) | |
| Chugoku/Shikoku | 119 | (12.6%) | |
| Kyushu/Okinawa | 131 | (13.9%) | |
| Medical institution | University hospitals | 70 | (7.4%) |
| Clinical training hospitals other | 433 | (46.0%) | |
| Hospitals other than the above | 154 | (16.4%) | |
| Clinics | 284 | (30.2%) | |
| Number of hospital beds | Less than 19 beds | 285 | (31.5%) |
| 20–199 beds | 115 | (12.7%) | |
| 200–499 beds | 330 | (36.5%) | |
| 500 or more beds | 175 | (19.3%) | |
| Primary specialty | Internal medicine | 510 | (54.3%) |
| Surgery | 309 | (32.9%) | |
| Others | 121 | (12.9%) | |
The presence of a nurse and the awareness and action regarding explanation with manipulation by attribute and employing medical institution.
| “I Request a Nurse to Be Present at the Time of | “I Think that Explanation with Manipulation Is Necessary | ||||||
|---|---|---|---|---|---|---|---|
| Number of Respondents (%) | Number of Respondents (%) | ||||||
| Sex | Male | 557 | (64.6%) | 0.101 | 523 | (59.8%) | 0.038 |
| Female | 26 | (53.1%) | 23 | (45.1%) | |||
| Age | 20–39 years | 13 | (50.0%) | 0.764 | 18 | (69.2%) | <0.001 |
| 40–59 years | 370 | (64.9%) | 370 | (63.8%) | |||
| Over 60 years | 204 | (63.8%) | 162 | (49.8%) | |||
| Medical institution | University hospitals | 36 | (55.4%) | <0.001 | 38 | (54.3%) | 0.214 |
| Clinical training hospitals other than | 300 | (69.6%) | 255 | (59.0%) | |||
| Hospitals other than the above | 104 | (68.9%) | 100 | (66.2%) | |||
| Clinics | 146 | (54.9%) | 156 | (56.7%) | |||
| Number of hospital beds | Less than 19 beds | 146 | (54.7%) | <0.001 | 155 | (56.2%) | 0.061 |
| 20–199 beds | 84 | (73.7%) | 78 | (69.0%) | |||
| 200–499 beds | 234 | (71.6%) | 204 | (62.2%) | |||
| 500 or more beds | 100 | (58.8%) | 98 | (56.0%) | |||
| Primary specialty | Internal medicine | 306 | (61.9%) | 0.095 | 306 | (61.2%) | 0.157 |
| Surgery | 193 | (64.1%) | 179 | (58.5%) | |||
| Others | 85 | (72.6%) | 62 | (51.7%) | |||
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| Sex | Male | 593 | (67.7%) | 0.110 | 582 | (66.8%) | 0.042 |
| Female | 29 | (56.9%) | 27 | (52.9%) | |||
| Age | 20–39 years | 18 | (69.2%) | <0.001 | 18 | (69.2%) | 0.013 |
| 40–59 years | 420 | (72.4%) | 399 | (69.4%) | |||
| Over 60 years | 188 | (57.7%) | 195 | (59.8%) | |||
| Medical institution | University hospitals | 46 | (65.7%) | 0.144 | 43 | (62.3%) | 0.424 |
| Clinical training hospitals other than university hospitals | 299 | (69.2%) | 280 | (65.1%) | |||
| Hospitals other than the above | 109 | (71.7%) | 109 | (71.7%) | |||
| Clinics | 171 | (62.2%) | 179 | (65.6%) | |||
| Number of hospital beds | Less than 19 beds | 171 | (62.0%) | 0.006 | 178 | (65.0%) | 0.234 |
| 20–199 beds | 84 | (73.7%) | 84 | (73.7%) | |||
| 200–499 beds | 241 | (73.5%) | 221 | (67.6%) | |||
| 500 or more beds | 111 | (63.4%) | 109 | (62.6%) | |||
| Primary specialty | Internal medicine | 337 | (67.3%) | 0.271 | 325 | (65.3%) | 0.547 |
| Surgery | 211 | (69.0%) | 208 | (68.0%) | |||
| Others | 73 | (60.8%) | 74 | (62.7%) | |||
†: Pearson’s χ2 test.
The presence of a nurse by awareness and action with reference to explanation with manipulation.
| “I Require a Nurse to Be Present at the Time of Explaining Informed Consent” | |||
|---|---|---|---|
| Number of Respondents (%) | |||
| “Explanation with manipulation is necessary in some cases” | |||
| Agree | 341 | (63.4%) | 0.549 |
| Disagree | 243 | (65.3%) | |
| “I have given an explanation with manipulation” | |||
| Yes | 398 | (65.1%) | 0.353 |
| No | 186 | (62.0%) | |
| “Explanation with manipulation is ethically acceptable” | |||
| Agree | 379 | (63.2%) | 0.452 |
| Disagree | 203 | (65.7%) | |
†: Pearson’s χ2 test.
Age of the respondents and the number of hospital beds in their employing medical institutions.
| Age | Less than 19 Beds | 20–199 Beds | 200–499 Beds | 500 or More Beds | |||||
|---|---|---|---|---|---|---|---|---|---|
| 20–39 years | 6 | (23.1%) | 8 | (30.8%) | 7 | (26.9%) | 5 | (19.2%) | <0.001 |
| 40–59 years | 116 | (20.9%) | 72 | (12.9%) | 249 | (44.8%) | 119 | (21.4%) | |
| Over 60 years | 162 | (50.3%) | 35 | (10.9%) | 74 | (23.0%) | 51 | (15.8%) | |
†: Pearson’s χ2 test.