| Literature DB >> 27556929 |
Racha Fadlallah1,2, Hala Nas3, Dana Naamani4, Fadi El-Jardali1,2,5, Ihsan Hammoura4, Lina Al-Khaled6, Hneine Brax7, Lara Kahale8, Elie A Akl2,5,8.
Abstract
OBJECTIVE: To systematically review the evidence on the knowledge, beliefs, and attitudes of patients and the general public towards the interactions of physicians with the pharmaceutical and the device industry.Entities:
Mesh:
Year: 2016 PMID: 27556929 PMCID: PMC4996522 DOI: 10.1371/journal.pone.0160540
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Study flowchart.
Characteristics of included studies on physicians’ interactions with the pharmaceutical industry.
| Study ID | Sample size and funding | Participants and settings | Sampling frame and method | Type of interaction | Outcomes assessed |
|---|---|---|---|---|---|
| • N = 486 | • Adults (I8 years of age and older) in two family practice centers | • Frame: Adults in two family practice centers operated by the University of Missouri-Columbia, Medicine. | • Free drug samples | • Awareness of the interactions of physicians in general | |
| • N = 200 | • Patients (18 years and above) in a general medical office | • Frame: Patients 18 years and above in a general medical office. | Financial payment for taking part in post marketing research for drugs | • Beliefs about their effects on prescription behavior and quality of care | |
| • N = 649 | • Kentucky residents (18 years of age and older) | • Frame: Data base of phone numbers | • Office use gifts (e.g., samples, pens, notepads) | • Awareness of the interactions of physicians in general | |
| • N = 196 (100 at military site and 96 at civilian site) | • Patients at two medical centers | • Frame: Patients at two tertiary-care medical centers, one military and one civilian, at Washington, DC. | • Trip | • Awareness of the interactions of own physicians | |
| • N = 420 | • Patients attending outpatient tertiary care hospital | • Frame: Patients attending outpatient settings of a busy tertiary care hospital | Accepting gifts from pharmaceutical companies | • Attitudes towards the interactions | |
| • N = 584 | • Patients admitted to the primary health care centers in Izmir Centrum | • Frame: Patients who had been admitted to the primary health care centers in Izmir Centrum, the third largest city in Turkey. | • Obtaining medical devices for office | • Awareness of the interactions of physicians in general | |
| • N = 134 | • Employees of The Age newspaper in Melbourne | • Frame: employees of The Age newspaper in Melbourne. N = 1524 | Pharmaceutical marketing activities ranging from largesse such as small gifts and free drug samples, to the sponsorship of educational conferences | • Awareness of the interactions of physicians in general | |
| • N = 903 | • Adult residents (18 years and older) who reside in Alger County | • Frame: List of postal addresses | • Drug samples | • Awareness of the interactions of physicians in general | |
| • N = 906 | • Patients in the waiting rooms of three general practices | • Frame: Three general practices in metropolitan Sydney | • Benefits in cash or in kind | • Awareness of the interactions of own physicians | |
| • N = 757 | • General public (over the age of 18 years) from the electoral roll of the Hunter region | • Frame: Electoral roll of the Hunter region of New South Wales | • Gifts with potential | Attitudes towards the interactions | |
| • N = 2,029 | • Adults in 10 large metropolitan areas | • Frame: A database of phone numbers | Pharmaceutical industry–physician gift relationships | • Awareness of the interactions of own physicians | |
| • N = 192 | • English-speaking adults in outpatient clinics waiting rooms | • Frame: patients in waiting rooms of five outpatient clinics at a mid-Atlantic academic medical center. | • Accepted large gifts | • Awareness of the interactions of own physicians | |
| • N = 200 | • Postoperative South African patients from four surgical wards in a teaching hospital | • Frame: Postoperative adult patients at Grey’s Hospital, Pietermaritzburg. | • Samples; | • Beliefs about their effects on prescriptive behavior and quality of care | |
| • N = 503 | • Postoperative arthroplasty patients attending follow up hip and knee arthroplasty clinics | • Frame: postoperative patients attending follow up hip and knee arthroplasty clinics at Mount Sinai Hospital and Holland Orthopaedic | Financial relationships with manufacturers (gifts, royalties, consultancy payments, speakers’ bureau presentations, or research support) | Awareness of the interactions of physicians in general | |
| • N = 1041 | • Adult population (18 years of age or older) who speak English or French and reside in private homes | • Frame: A database of phone numbers Method: Stratified random sampling. | • Requesting information about a particular drug | Attitudes towards the interactions | |
| • N = 31 (a total of six focus groups) | • Patients from three of the academic health center’s clinics (orthopedic surgery, cardiology and dentistry) | • Frame: Participants 18 years and older from three clinics (orthopedic surgery, cardiology and dentistry) in one academic health center | Conflict of interest relating to physician interaction with the industry | • Attitudes towards the interaction |
Patient and public awareness of gifts received by physicians in general from the pharmaceutical industry.
| Awareness of gifts received by physicians from the pharmaceutical industry | |||
|---|---|---|---|
| Type of Gifts | % aware (N) | Country, year | Reference |
| Gifts in general (pharmaceutical promotional activities/ pharmaceutical marketing) | 54% (N = 196) | USA, 1998 | [ |
| 70% (N = 503) | USA, 2010–2011 | [ | |
| 55% (N = 252) | Canada, 2010–2011 | [ | |
| 70% (N = 251) | USA, 2010–2011 | [ | |
| 40% (N = 134) | Australia, 2007 | [ | |
| 83% (N = 584) | Turkey, 2004 | [ | |
| Gifts with possible patient benefit | 82% (N = 649) | USA, 1995 | [ |
| Personal gifts (e.g. clocks, radios) | 32% (N = 649) | USA, 1995 | [ |
| Drug samples | 87% (N = 486) | USA, 1995 | [ |
| 94% (N = 903) | USA, 2009 | [ | |
| Ballpoint pens | 55% (N = 489) | USA, 1995 | [ |
| 76% (N = 903) | USA, 2009 | [ | |
| Medical books | 35% (N = 486) | USA, 1995 | [ |
| 38% (N = 903) | USA, 2009 | [ | |
| Dinner | 22% (N = 486) | USA, 1995 | [ |
| 37% (N = 903) | USA, 2008 | [ | |
| Attend industry-sponsored trips/conferences/social activities | 16–17% (N = 192) | USA, 2008 | [ |
| 34% (N = 903) | USA, 2009 | [ | |
| Accept gifts over $100 | 12% (N = 192) | USA, 2008 | [ |
| Accept gifts less than $100 | 16% (N = 192) | USA, 2008 | [ |
| Conduct research for drug company | 23% (N = 192) | USA, 2008 | [ |
| Baby formula | 29% (N = 486) | USA, 1994 | [ |
| Coffee maker | 14% (N = 486) | USA, 1994 | [ |
1 N refers to the sample size
2 This indicates year of the study for each finding (and if not reported, the year of publication)
Beliefs of patients and the general public about the effects of physician-pharmaceutical industry interaction on prescribing behavior, quality of care, and cost of care.
| USA, 1995 | 70% (N = 486) | 24.5% (N = 486) | - | - | [ | ||
| USA, 2009 | 41.2% (N = 903) | 16.9% (N = 903) | 32.8% (N = 903) | 9.1% (N = 903) | [ | ||
| USA, 2008 | 49% (N = 192) | - | - | - | [ | ||
| Australia, 2007 | 59% (N = 134) | - | - | - | [ | ||
| Turkey, 2004 | 29% (N = 584) | 37% (N = 584) | 33% (N = 584) | - | [ | ||
| Australia, 2007 | - | 49% (N = 906) | - | 24% (N = 906) | [ | ||
| Turkey, 2004 | 69.9% (N = 584) | 6.8% (N = 584) | 23.3% (N = 584) | - | [ | ||
| USA, 1998 | 56% (N = 196) | - | - | - | [ | ||
| Turkey, 2004 | 62.8% (N = 584) | 14.3% (N = 584) | 22.9% (N = 584) | - | [ | ||
| USA, 1998 | 48% (N = 196) | - | - | - | [ | ||
| Turkey, 2004 | 46.1% (N = 584) | 33.2% (N = 584) | 20.7% (N = 584) | - | [ | ||
| USA, 1998 | 42% (N = 196) | - | - | - | [ | ||
| USA, 1998 | 31% (N = 196) | - | - | - | [ | ||
| Turkey, 2004 | 32.6% (N = 584) | 52.6% (N = 584) | 14.8% (N = 584) | - | [ | ||
| Turkey, 2004 | 71–74% (N = 584) | 5.1–9.8% (N = 584) | 19.3–20.8% (N = 584) | - | [ | ||
| Turkey, 2004 | 59.2–63.5% (N = 584) | 8.9–19.5% (N = 584) | 27.6–29.8% (N = 584) | - | [ | ||
| Turkey, 2004 | 61.7% (N = 584) | 19.7% (N = 584) | 18.6% (N = 584) | - | [ | ||
| USA, 1998 | 28% (N = 196) | - | - | - | [ | ||
| Australia, 2007 | 27% (N = 906) | 49% (N = 906 | 24% (N = 906) | [ | |||
| South Africa, 2011 | 80% (N = 200) | 14% (N = 200) | 7% (N = 200) | - | [ | ||
| USA, 1995 | 14% (N = 649) | 61% (N = 649) | 13% (N = 649) | 12% (N = 649) | [ | ||
| USA, 1995 | 8% (N = 649) | 54% (N = 649) | 23% (N = 649) | 15% (N = 649) | [ | ||
| USA, 1995 | 64% (N = 486) | 23% (N = 486) | 3.1% (N = 486) | - | [ | ||
| USA, 2009 | 67.3% (N = 903) | 31.6% (N = 903) | 1.2% (N = 903) | - | [ | ||
| USA, 1998 | 33% (N = 196) | 39% (N = 196) | - | - | [ | ||
| Turkey, 2004 | 54.5% (N = 584) | - | - | 35.2% (N = 584) | [ | ||
| USA, 1995 | 26% (N = 649) | 38% (N = 649) | 19% (N = 649) | 16% (N = 649) | [ | ||
| USA, 1995 | 42% (N = 649) | 30% (N = 649) | 14% (N = 649) | 14% (N = 649) | [ | ||
1 This indicates year of the study for each finding (and if not reported, the year of publication)
2 N refers to the sample size
Attitudes of patients and the general public towards physicians’ interactions with the pharmaceutical industry.
| USA, 1995 | 59% (N = 649) | 9% (N = 649) | 12% (N = 649) | 22% (N = 649) | [ | |
| USA, 1995 | 33% (N = 649) | 32% (N = 649) | 14% (N = 649) | 2% (N = 649) | [ | |
| Pakistan, 1999–2000 | 88% (N = 420) | 9% (N = 420) | 3% (N = 420) | - | [ | |
| USA, 2008 | 43% (N = 192) | 27% (N = 192) | - | 30% (N = 192) | [ | |
| South Africa, 2011 | 38% (N = 200) | 62% (N = 200) | - | - | [ | |
| USA, 1995 | 34.6% (N = 486) | 48.4% (N = 486) | - | 14.6% (N = 486) | [ | |
| USA, 1998 | - | 47% (N = 196) | - | 32.9% (N = 903) | [ | |
| USA, 2009 | 12.1% (N = 903) | 55% (N = 903) | - | - | [ | |
| South Africa, 2011 | 12% (N = 200) | - | - | - | (64) | |
| Australia, 2010 | 34% (N = 757) | - | - | - | [ | |
| Australia, 2010 | 66–83% (N = 757) | - | - | - | [ | |
| USA, 1998 | - | 23–38% (N = 196) | - | - | [ | |
| USA, 1995 | 82% (N = 486) | 8% (N = 486) | - | 9% (N = 486) | [ | |
| USA, 2009 | 69% (N = 903) | 9% (903) | - | 22% (N = 196) | [ | |
| Australia, 2010 | 92% (N = 757) | - | - | - | [ | |
| Turkey, 2004 | 83% (N = 584) | 10% (N = 584) | 7% (N = 584) | - | [ | |
| South Africa, 2011 | 46% (N = 200) | - | - | - | [ | |
| USA, 1999 | - | 22% (N = 196) | - | - | [ | |
| USA, 1995 | 70% (N = 486 | 17% (486) | - | 10% (N = 486) | [ | |
| USA, 2009 | 49% (N = 903) | 19% (903) | - | 32% (N = 903) | [ | |
| USA, 1998 | - | 16–18% (N = 196) | - | - | [ | |
| USA, 1995 | 40–41% (N = 486) | 42–43% (N = 486) | - | 13–15% (N = 486) | [ | |
| USA, 2009 | 4% (N = 903) | 68% (N = 903) | - | 28% (N = 903) | [ | |
| Australia, 2010 | 15–30% (N = 757) | - | - | - | [ | |
| USA, 1998 | - | 59% (N = 196) | - | - | [ | |
| USA, 1995 | 41.4% (N = 486) | 44.2% (N = 486) | - | 10.9% (N = 486) | [ | |
| USA, 1995 | 53% (N = 486) | 33% (N = 486) | - | 12% (N = 486) | [ | |
| South Africa, 2011 | 56% (N = 200) | - | - | - | [ | |
| Australia, 2010 | 75–76% (N = 757) | - | - | - | [ | |
| USA, 2009 | 14% (N = 903) | 55% (N = 903) | - | 31% (N = 903) | [ | |
| USA, 1995 | 67.3% (N = 486) | 17.5% (N = 486) | - | 13% (N = 486) | [ | |
| USA, 2009 | 54.2% (N = 903) | 16.2% (N = 903) | - | 29.6% (N = 903) | [ | |
| Australia, 2010 | 82% (N = 757) | - | - | - | [ | |
| USA, 1998 | - | 19% (N = 196) | - | - | [ | |
| Australia, 2010 | 80–96% (N = 757) | - | - | - | [ | |
| USA, 1995 | 39.1% (N = 486) | 40.7% (N = 486) | - | 17.3% (N = 486) | [ | |
| Australia, 2010 | 18–24% (N = 757) | - | - | - | [ | |
| USA, 2008 | 3–4% (N = 192) | 38–48% (N = 192) | 47–59% (N = 192) | - | [ | |
| Turkey, 2006 | - | - | 50% (N = 584) | - | [ | |
| US, 2006 | - | - | Odds ratio: 2.26 | - | [ | |
| USA, 2008 | 3–5% (N = 192) | 38–41% (N = 192) | 54–58% (N = 192) | - | [ | |
| USA, 2008 | 4% (N = 192) | 46% (N = 192) | 49% (N = 192) | - | [ | |
| USA, 2008 | 7–15% (N = 192) | 52–58% (N = 192) | 27–40% (N = 192) | - | [ | |
| USA, 2008 | 3% (N = 192) | 64% (N = 192) | 33% (N = 192) | - | [ | |
| USA, 2008 | 6% (N = 192) | 89% (N = 192) | 5% (N = 192) | - | [ | |
1 This indicates year of the study for each finding (and if not reported, the year of publication)
2 N refers to the sample size
3 This is the only study in the table that reported the results as Odds ratio rather than percentage
Characteristics of included studies on surgeons’ interactions with the device industry.
| Study ID/ | Sample size and funding | Participants and settings | Sampling frame and method | Type of interaction | Outcomes assessed |
|---|---|---|---|---|---|
| • N = 245 | • Patients in the waiting area in orthopedic surgery clinic | • Frame: Patients in the waiting area in orthopedic surgery clinic | Surgeons as consultants for industry and medical device manufacturers | • Attitudes towards the interactions | |
| • N = 501 | • North American public visiting the | • Frame: North American public visiting the | Surgeon-industry COI relating to the role of surgeons in clinical research and the industry funding of such research | • Beliefs about their effects on quality of care | |
| • N = 251 USA and N = 252 Canada | • Postoperative arthroplasty patients attending follow up hip and knee arthroplasty clinics | • Frame: postoperative patients attending follow up hip and knee arthroplasty clinics at Mount Sinai Hospital and Holland Orthopaedic | Financial relationships with manufacturers (gifts, royalties, consultancy payments, speakers’ bureau presentations, or research support) | • Awareness of the interactions of surgeons in general | |
| • N = 100 | • Patients (18 years old or older) scheduled for primary THA and TKA from the orthopedic practices of two joint arthroplasty specialists | • Frame: All patients 18 years and older scheduled for primary THA and TKA from orthopedic practices of two joint arthroplasty specialists at an academic health center. | • Developed prostheses | • Awareness of the interactions of surgeons in general | |
| • N = 610 | • North Americans representing the general public visiting the | • Frame: visitors of the | Surgeon-industry consulting relationships | • Beliefs about their effects on quality of care |
Beliefs of patients and the general public about the effects of surgeon-device industry interactions on quality and cost of care.
| USA, 2014 | 46.4% (N = 610) | 34.1% (N = 610) | 19.5% (N = 610) | - | [ | |
| USA, 2014 | 17.7–17.9% (N = 610) | 43.1–57.5% (N = 610) | 24.6–39.2% (N = 610) | - | [ | |
| Canada, 2010–2011 | - | - | 74% (N = 252) | - | [ | |
| USA, 2010–2011 | - | - | 76% (N = 251) | - | [ | |
| USA, 2012 | 55% (N = 501) | - | 30.5% (N = 501) | 14.4% (N = 501) | [ | |
1 This indicates year of the study for each finding (and if not reported, the year of publication)
2 N refers to the sample size
Attitudes of patients and the general public towards surgeons’ interactions with the device industry.
| USA, 2007 | 94.3% (N = 245) | - | - | 5.7% (N = 245) | [ | |
| USA, 2012 | 90.6% (N = 501) | 3% (N = 501) | 6.4% (N = 501) | - | [ | |
| USA, 2014 | 81.8% (N = 610) | 18.2% (N = 610) | - | - | [ | |
| USA, 2010–2011 | 48% (N = 251) | 32% (N = 251) | 21% (N = 251) | - | [ | |
| Canada, 2010–2011 | 53% (N = 252) | 25% (N = 252) | 22% (N = 252) | - | [ | |
| USA, 2007 | 66.5% (N = 245) | 9.4% (N = 245) | 0.8% (N = 245) | 23.3% (N = 245) | [ | |
| USA, 2007 | 89.4% (N = 245) | 1.2% (N = 245) | 9% (N = 245) | 0.4% (N = 245) | [ | |
| USA, 2010–2011 | 21% (N = 251) | 49% (N = 251) | 30% (N = 251) | - | [ | |
| Canada, 2010–2011 | 22% (N = 252) | 48% (N = 252) | 30% (N = 252) | - | [ | |
| USA, 2010–2011 | 46% (N = 251) | 31% (N = 251) | 23% (N = 251) | - | [ | |
| Canada, 2010–2011 | 53% (N = 252) | 26% (N = 252) | 21% (N = 252) | - | [ | |
| USA, 2010–2011 | 69% (N = 251) | 16% (N = 251) | 15% (N = 251) | - | [ | |
| Canada, 2010–2011 | 66% (N = 252) | 15% (N = 252) | 19% (N = 252) | - | [ | |
| USA, 2010–2011 | 11% (N = 251) | 63% (N = 251) | 26% (N = 251) | - | [ | |
| Canada, 2010–2011 | 13% (N = 252) | 59% (N = 252) | 28% (N = 252) | - | [ | |
| USA, 2010–2011 | 20% (N = 251) | 51% (N = 251) | 29% (N = 251) | - | [ | |
| Canada, 2010–2011 | 18% (N = 252) | 46% (N = 252) | 35% (N = 252) | - | [ | |
| USA, 2012 | 20% (N = 501) | 66.1% (N = 501) | 14% (N = 501) | - | [ | |
| USA, 2010–2011 | 14% (N = 100) | 34% (N = 100) | 51% (N = 100) | - | [ | |
| USA, 2010–2011 | 25–44% (N = 100) | 31–45% (N = 100) | 19–30% (N = 100) | - | [ | |
1 This indicates year of the study for each finding (and if not reported, the year of publication)
2 N refers to the sample size
Attitudes of patient and the general public towards the entities that should be involved in regulating surgeon-device industry interactions.
| USA, 2010–2011 | 81% (N = 252) | 83% (N = 251) | 60% (N = 251) | 26% (N = 251) | - | - | - | [ |
| Canada, 2010–2011 | 78% (N = 252) | 83% (N = 252) | 61% (N = 252) | 35% (N = 252) | - | - | - | [ |
| USA, 2007 | 32.2% (N = 245) | - | 20% (N = 245) | 13.5% (N = 245) | - | 34.3% (N = 245) | - | [ |
| USA, 2012 | - | 11.6% (N = 501) | 6% (N = 501) | 8.2% (N = 501) | 2.6% (N = 501) | - | 71.7% (N = 501) | [ |
| USA, 2014 | - | 17.4% (N = 610) | 7.4% (N = 610) | 10% (N = 610) | 1% (N = 610) | - | 64.3% (N = 610) | [ |
| USA, 2014 | - | 34.9% (N = 610) | 13% (N = 610) | 17.9% (N = 610) | 1.5% (N = 610) | 32.7% (N = 610) | - | [ |
| USA, 2012 | - | 34.1% (N = 501) | 13.1% (N = 501) | 8.7% (N = 501) | 0.8% (N = 501) | 43.3% (N = 501) | - | [ |
1 This indicates year of the study for each finding (and if not reported, the year of publication)
2 N refers to the sample size