| Literature DB >> 30777058 |
Baruch Velan1,2, Arnona Ziv3, Giora Kaplan3,4, Carmit Rubin3, Yaron Connelly4, Tami Karni5, Orna Tal4.
Abstract
BACKGROUND: Medicine has undergone substantial changes in the way medical dilemmas are being dealt with. Here we explore the attitude of Israeli physicians to two debatable dilemmas: disclosing the full truth to patients about a poor medical prognosis, and assisting terminally ill patients in ending their lives.Entities:
Keywords: Autonomy; Disclosure; Doctor-assisted-death; End-of-life; Ethical education; Truth-telling
Mesh:
Year: 2019 PMID: 30777058 PMCID: PMC6380017 DOI: 10.1186/s12910-019-0350-5
Source DB: PubMed Journal: BMC Med Ethics ISSN: 1472-6939 Impact factor: 2.652
Representation of sub-groups in the survey population and in the Israel Medical Association population
| Population characteristics | Representation in survey populations (( | Representation in IMA populations (( | |
|---|---|---|---|
| Gender | Male | 64.8 | 60.2 |
| Female | 35.2 | 39.8 | |
| Age | 24–34 | 11.5 | 20.4 |
| 35–44 | 20.8 | 22.2 | |
| 45–54 | 20.0 | 19.3 | |
| 55–64 | 25.9 | 19.1 | |
| 65+ | 21.8 | 18.2 | |
| Unknown | 0.02 | 0.9 | |
| Specialization | GPs | 14.2 | 8.8 |
| Internists | 28.4 | 26.4 | |
| Surgeons | 21.4 | 15.4 | |
| Pediatricians | 13.5 | 11.7 | |
| Gynecologists | 7.3 | 6.0 | |
| Psychiatrist | 6.7 | 4.5 | |
| Others | 8.5 | 11.0 | |
| Unknown | 0.06 | 16.2 | |
| Medical Schooling | Israel | 51.1 | No Data |
| Abroad | 24.9 | No Data | |
| Combined | 24.0 | No Data | |
| Position | Interns | 16.0 | No Data |
| Specialists | 45.1 | No Data | |
| Super specialists | 30.3 | No Data | |
| Other | 8.6 | No Data | |
| Employment | HMOs | 29.6 | No Data |
| Public Hospitals | 49.4 | No Data | |
| Other | 21.0 | No Data | |
Support of truth telling, doctor assisted death and their combination among different subgroups in the survey population
| Respondent characteristics | Support telling full truth the | Support doctor assisted death | Support assisted Death + Truth Telling | |||
|---|---|---|---|---|---|---|
| No (%) (b) | P (c) | No (%) (b) | P c) | No (%) (b) | P (C) | |
| All respondents ( | 1366 (47.6) | 1586 (55.2) | 760 (26.5) | |||
| Gender | 0.0003 | 0.0846 | 0.0427 | |||
| Male ( | 931 (50.1) | 1008 (54.0) | 515 (27.9) | |||
| Female ( | 435 (43.1) | 578 (57.4) | 243 (24.3) | |||
| Age | <.0001 | 0.4338 | .0001> | |||
| 24–34 ( | 185 (58.9) | 174 (55.6) | 107 (34.3) | |||
| 35–44( | 305 (54.0) | 327 (57.7) | 171 (30.4) | |||
| 45–54 ( | 261 (47.8) | 315 (58.2) | 151 (28.1) | |||
| 55–64 ( | 302 (43.2) | 369 (52.5) | 158 (22.8) | |||
| 65+ ( | 234 (39.3) | 337 (56.5) | 141 (23.8) | |||
| Medical Schooling | <.0001 | .0001> | 0.0659 | |||
| Israel ( | 641 (43.9) | 900 (61.5) | 414 (28.5) | |||
| Abroad ( | 383 (53.7) | 320 (44.9) | 171 (24.2) | |||
| Combined ( | 341 (49.7) | 361 (52.9) | 171 (25.3) | |||
| Position | 0.0002 | .0001> | 0.0213 | |||
| Interns ( | 261 (56.2) | 265 (57.0) | 142 (30.7) | |||
| Specialists ( | 582 (45.3) | 681 (53.3) | 305 (24.0) | |||
| S. specialists ( | 392 (45.6) | 521 (60.1) | 242 (28.3) | |||
| Other ( | 122 (51.0) | 106 (44.2) | 61 (25.5) | |||
| Employment | 0.0167 | .0001> | 0.0016 | |||
| HMO ( | 403 (48.1) | 403 (47.9) | 190 (23.0) | |||
| Hospitals ( | 700 (49.5) | 837 (59.3) | 415 (29.6) | |||
| Other( | 256 (42.6) | 338 (56.2) | 149 (24.8) | |||
| Specialization | 0.0001 | .0001> | .0001> | |||
| GP ( | 166 (41.4) | 187 (47.1) | 68 (17.3) | |||
| Internist ( | 385 (48.1) | 468 (58.3) | 222 (27.9) | |||
| Surgeons( | 310 (51.2) | 347 (57.5) | 171 (28.4) | |||
| Psychiatrist ( | 66 (35.1) | 82 (43.2) | 28 (15.0) | |||
| Different ( | 414 (50.1) | 447 (57.4) | 252 (30.6) | |||
a) Numbers indicate representation of subgroup in the survey. Not all questions related to characteristics were answered by all surveyees, information amounted to 50–150
b) Number in parenthesis represent percentage out surveyees responding to the specific question
c) P value for indicated variable as compared to the rest of the population study
(d) Includes private clinics andprivate hospitals, military and retired physician
(e) Includes pediatricians, gynecologists, anesthetists and others (a)xxxx
Weighted multinomial logistic regression analysis of the interrelationship between attitudes and socio demographic characteristics
| Attitude | Variable | Effect | OD ratio | 95% ConfidenceLimits | |
|---|---|---|---|---|---|
| Support truth telling (a) | Gender | Female vs. male | 0.722 | 0.624–0.837 | <.0001 |
| Age | 24 to 34 vs. 35 to 44 | 1.221 | 0.915–1.629 | 0.1753 | |
| Medical education | Abroad vs. Israel | 1.351 | 1.165–1.564 | <.0001 | |
| Specialization | Surgeons vs. Internists | 1.139 | 0.987–1.313 | 0.0740 | |
| Gender | Male vs. Female | 1.218 | 1.050–1.412 | 0.0093 | |
| Support doctor assisted death (a) | Medical education | Abroad vs. Israel | 0.564 | 0.487–0.654 | <.0001 |
| Workplace | Hospital vs. HMO | 1.485 | 1.267–1.740 | <.0001 | |
| Specialization | Surgeons vs. Internists | 1.073 | 0.930–1.239 | 0.3357 | |
| Support truth telling+doctor assisted death (a) | Gender | Female vs. male | 0.815 | 0.692–0.960 | 0.0145 |
| Age | 24 to 34 vs. 35 to 44 | 1.367 | 0.988–1.893 | 0.0594 | |
| Specialization | Surgeons vs. Internists | 1.135 | 0.970–1.326 | 0.1132 |
a: Variables included in the regression analysis: gender, age, medical schooling, position, employment specialization