| Literature DB >> 35329160 |
Anju Murayama1,2, Yuki Senoo1, Kayo Harada1, Yasuhiro Kotera3, Hiroaki Saito4, Toyoaki Sawano5, Yosuke Suzuki1, Tetsuya Tanimoto1,6, Akihiko Ozaki1,7.
Abstract
OBJECTIVES: Awareness and perceptions of financial conflicts of interest (FCOI) between pharmaceutical companies (Pharma) and healthcare domains remain unclear in Japanese cancer patient communities. This study aimed to assess awareness (RQ1), the influence of FCOI on physician trustworthiness (RQ2), and their perception (RQ3) among the Japanese cancer patient advocacy group members.Entities:
Keywords: Japan; conflict of interest; ethics; financial relationship; patient-centred care; pharmaceutical industry
Mesh:
Substances:
Year: 2022 PMID: 35329160 PMCID: PMC8952770 DOI: 10.3390/ijerph19063478
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic features of the study population.
| Variables | |
|---|---|
|
| |
| Male | 63 (67.7) |
| Female | 30 (32.3) |
| Missing | 3 |
|
| |
| ≦60 | 15 (16.0) |
| 61–70 | 30 (31.9) |
| 71–80 | 38 (40.4) |
| 81–90 | 11 (11.7) |
| Missing | 2 |
|
| |
| <JPY 2 million (<USD 18,349) | 6 (7.0) |
| JPY 2–4 million (USD 18,349–36,697) | 40 (46.5) |
| JPY 4–6 million (USD 36,697–55,046) | 14 (16.3) |
| JPY 6–8 million (USD 55,046–73,394) | 12 (14.0) |
| JPY 8–10 million (USD 73,394–91,743) | 5 (5.8) |
| >JPY 10 million (>USD 91,743) | 9 (10.5) |
| Missing | 10 |
|
| |
| Unemployed | 52 (55.9) |
| Self-employed | 15 (16.1) |
| Full-time job | 11 (11.8) |
| Part-time job | 7 (7.5) |
| Other | 8 (8.6) |
| Missing | 3 |
|
| |
| Less than high school graduate | 1 (1.1) |
| High school graduate | 27 (29.0) |
| Associate degree or diploma | 15 (16.1) |
| Bachelor’s degree or more (bachelor, master, and doctoral degree) | 50 (53.8) |
| Missing | 3 |
|
| |
| Not cancer patient | 20 (22.5) |
| Prostate cancer | 24 (27.0) |
| Lung cancer | 5 (5.6) |
| Breast cancer | 5 (5.6) |
| Colorectal cancer | 4 (4.5) |
| Gastric cancer | 4 (4.5) |
| Other type of cancer | 27 (30.3) |
| Missing | 7 |
|
| |
| Stage 1 | 23 (35.9) |
| Stage 2 | 16 (25.0) |
| Stage 3 | 10 (15.6) |
| Stage 4 | 5 (7.7) |
| Unclear | 10 (15.6) |
| Missing | 5 |
|
| |
| 2018 | 4 (5.8) |
| 2017 | 6 (8.7) |
| 2016 | 3 (4.4) |
| 2015 | 4 (5.8) |
| Before 2015 | 52 (75.4) |
|
| |
| Cancer hospital | 20 (29.4) |
| National university | 9 (13.2) |
| Private university | 9 (13.2) |
| National municipal hospital | 10 (14.7) |
| Private municipal hospital | 11 (16.2) |
| Other hospital | 9 (13.2) |
| Missing | 1 |
|
| |
| Yes | 13 (20.0) |
| No | 47 (72.3) |
| Not clear | 5 (7.7) |
| Missing | 4 |
|
| |
| 1 | 6 (42.9) |
| 2 | 2 (14.3) |
| 3 | 1 (7.1) |
| 6 | 1 (7.1) |
| 7 | 1 (7.1) |
| 10 | 1 (7.1) |
| Unknown | 2 (14.3) |
|
| |
| Anticancer drug | 22 (16.5) |
| Molecularly targeted drug | 5 (3.8) |
| Hormone therapy | 23 (17.3) |
| Radiation therapy | 37 (27.8) |
| Surgery | 39 (29.3) |
| Other | 4 (3.0) |
| Never | 3 (2.3) |
|
| |
| Anticancer drug | 2 (2.9) |
| Molecularly targeted drug | 2 (2.9) |
| Hormone therapy | 10 (14.5) |
| Radiation therapy | 2 (2.9) |
| Other | 11 (15.9) |
| Not having | 42 (60.9) |
* The denominator was the number of people with any type of cancer. (n = 69). ** Multiple answers were possible. Abbreviations: JPY—Japanese yen; USD—US dollar.
Figure 1Respondents’ awareness of interactions between physicians and pharmaceutical companies.
Demographic breakdown of respondents’ awareness of at least one physician–Pharma interaction.
| Variables | Number (%) | ||
|---|---|---|---|
| Aware | Unaware or Not Sure | ||
|
| |||
|
| 49 (77.8) | 14 (22.2) | 0.053 |
|
| 28 (93.3) | 2 (6.7) | |
|
| |||
|
| 13 (86.7) | 2 (13.3) | 0.879 |
|
| 24 (80.0) | 6 (20.0) | |
|
| 39 (79.6) | 10 (20.4) | |
|
| |||
|
| 39 (84.8) | 7 (15.2) | 0.129 |
|
| 29 (72.5) | 11 (27.5) | |
|
| |||
|
| 30 (81.1) | 7 (18.9) | 0.576 |
|
| 45 (80.4) | 11 (19.6) | |
|
| |||
|
| 21 (75.0) | 7 (25.0) | 0.264 |
|
| 54 (83.1) | 11 (16.9) | |
|
| |||
|
| 17 (85.0) | 3 (15.0) | 0.433 |
|
| 55 (79.7) | 14 (20.3) | |
|
| |||
|
| 17 (73.9) | 6 (26.1) | 0.287 |
|
| 26 (83.9) | 5 (16.1) | |
|
| |||
|
| 15 (88.2) | 2 (11.8) | 0.320 |
|
| 41 (78.9) | 11 (21.1) | |
|
| |||
|
| 24 (80.0) | 6 (20.0) | 0.555 |
|
| 31 (81.6) | 7 (18.4) | |
|
| |||
|
| 41 (78.9) | 11 (21.1) | 0.246 |
|
| 12 (92.3) | 1 (7.7) | |
|
| |||
|
| 19 (73.1) | 7 (26.9) | 0.145 |
|
| 33 (86.8) | 5 (13.2) | |
|
| |||
|
| 23 (85.2) | 4 (14.8) | 0.447 |
|
| 29 (80.6) | 7 (19.4) | |
|
| |||
|
| 22 (75.9) | 7 (25.1) | 0.292 |
|
| 32 (84.2) | 6 (15.8) | |
1 The analysis included only respondents with cancer. Abbreviations: JPY—Japanese yen; USD—US dollar; Pharma—pharmaceutical company.
Logistic regression analysis of respondents’ awareness of physician–Pharma interactions.
| Variables | Odds Ratio (95% Confidence Interval) | |
|---|---|---|
|
| ||
|
| Ref. | |
|
| 4.00 (0.85–18.90) | 0.080 |
|
| ||
|
| Ref. | |
|
| 0.62 (0.11–3.49) | 0.584 |
|
| 0.60 (0.12–3.10) | 0.542 |
|
| ||
|
| Ref. | |
|
| 0.47 (0.16–1.37) | 0.168 |
|
| ||
|
| Ref. | |
|
| 0.95 (0.33–2.74) | 0.931 |
|
| ||
|
| Ref. | |
|
| 1.64 (0.56–4.79) | 0.369 |
|
| ||
|
| Ref. | |
|
| 0.69 (0.18–2.70) | 0.598 |
|
| ||
|
| Ref. | |
|
| 1.84 (0.48–6.97) | 0.373 |
|
| ||
|
| Ref. | |
|
| 0.50 (0.10–2.51) | 0.397 |
|
| ||
|
| Ref. | |
|
| 1.11 (0.33–3.73) | 0.869 |
|
| ||
|
| Ref. | |
|
| 3.22 (0.38–27.52) | 0.286 |
|
| ||
|
| Ref. | |
|
| 2.43 (0.68–8.74) | 0.173 |
|
| ||
|
| Ref. | |
|
| 0.72 (0.19–2.76) | 0.633 |
|
| ||
|
| Ref. | |
|
| 1.70 (0.50–5.74) | 0.395 |
1 The analysis included only respondents with cancer. Abbreviations: JPY—Japanese yen, Pharma—pharmaceutical company, Ref—reference value.
Figure 2Influence of physician–Pharma interactions on trust in physicians.
Number and percent of respondents reporting decreased trust in at least one physician–Pharma interaction by respondent demographics.
| Variables | Number (%) | ||
|---|---|---|---|
| Decrease Trust | Other | ||
|
| |||
|
| 55 (87.3) | 8 (12.7) | 0.157 |
|
| 28 (96.6) | 1 (3.4) | |
|
| |||
|
| 14 (93.3) | 1 (6.7) | 0.550 |
|
| 26 (89.7) | 3 (10.3) | |
|
| 44 (89.8) | 5 (10.2) | |
|
| |||
|
| 41 (89.1) | 5 (10.9) | 0.590 |
|
| 36 (90.0) | 4 (10.0) | |
|
| |||
|
| 33 (98.2) | 4 (10.8) | 0.515 |
|
| 51 (91.1) | 5 (8.9) | |
|
| |||
|
| 23 (82.1) | 5 (17.7) | 0.089 |
|
| 61 (93.9) | 4 (6.1) | |
|
| |||
|
| 19 (95.0) | 1 (5.0) | 0.424 |
|
| 62 (89.9) | 7 (10.1) | |
|
| |||
|
| 22 (95.7) | 1 (4.3) | 0.283 |
|
| 27 (87.1) | 4 (12.9) | |
|
| |||
|
| 14 (82.4) | 3 (17.6) | 0.316 |
|
| 46 (90.2) | 5 (9.8) | |
|
| |||
|
| 26 (89.7) | 3 (10.3) | 0.517 |
|
| 33 (86.8) | 5 (13.2) | |
|
| |||
|
| 47 (90.4) | 5 (9.6) | 0.428 |
|
| 11 (84.6) | 2 (15.4) | |
|
| |||
|
| 24 (92.3) | 2 (7.7) | 0.398 |
|
| 33 (86.8) | 5 (13.2) | |
|
| |||
|
| 25 (92.6) | 2 (7.4) | 0.349 |
|
| 31 (86.1) | 5 (13.9) | |
|
| |||
|
| 24 (82.8) | 5 (17.2) | 0.119 |
|
| 36 (94.7) | 2 (5.3) | |
1 The analysis included only respondents with cancer. Abbreviations: JPY—Japanese yen; Pharma—pharmaceutical company.
Logistic regression analysis of the influence of physician–Pharma relationships on respondents’ trust.
| Variables | Odds Ratio (95% Confidence Interval) | |
|---|---|---|
|
| ||
|
| Ref. | |
|
| 4.07 (0.48–34.21) | 0.185 |
|
| ||
|
| Ref. | |
|
| 0.62 (0.059–6.52) | 0.713 |
|
| 0.63 (0.068–5.84) | 0.683 |
|
| ||
|
| Ref. | |
|
| 1.10 (0.27–4.40) | 0.895 |
|
| ||
|
| Ref. | |
|
| 1.24 (0.31–4.94) | 0.764 |
|
| ||
|
| Ref. | |
|
| 3.32 (0.82–13.44) | 0.093 |
|
| ||
|
| Ref. | |
|
| 0.47 (0.054–4.03) | 0.488 |
|
| ||
|
| Ref. | |
|
| 0.31 (0.032–2.95) | 0.306 |
|
| ||
|
| Ref. | |
|
| 1.97 (0.42–9.30) | 0.376 |
|
| ||
|
| Ref. | |
|
| 0.76 (0.17–3.48) | 0.689 |
|
| ||
|
| Ref. | |
|
| 0.59 (0.10–3.42) | 0.552 |
|
| ||
|
| Ref. | |
|
| 0.55 (0.098–3.08) | 0.496 |
|
| ||
|
| Ref. | |
|
| 0.50 (0.089–2.78) | 0.425 |
|
| ||
|
| Ref. | |
|
| 3.75 (0.67–20.93) | 0.132 |
1 The analysis included only respondents with cancer. There were no statistically significant differences between the influence of physician–Pharmaceutical company relationships on respondents’ trust and each variable. Abbreviations: JPY—Japanese yen; Pharma—pharmaceutical company.
Figure 3Respondents’ perceptions on statements regarding interactions between physicians and pharmaceutical companies and their associated regulations.
Figure 4Respondents’ perception of acceptable amounts and frequency of non-research payments from pharmaceutical companies to physicians.
Figure 5Respondent attitude about conflicts of interest among various professionals.