Factors Associated With Public Trust in Pharmaceutical Manufacturers (2024)

  • Journal List
  • JAMA Network
  • PMC10015300

As a library, NLM provides access to scientific literature. Inclusion in an NLM database does not imply endorsem*nt of, or agreement with, the contents by NLM or the National Institutes of Health.
Learn more: PMC Disclaimer | PMC Copyright Notice

Factors Associated With Public Trust in Pharmaceutical Manufacturers (1)

JAMA NetworkView Article

JAMA Network Open

JAMA Netw Open. 2023 Mar; 6(3): e233002.

Published online 2023 Mar 14. doi:10.1001/jamanetworkopen.2023.3002

PMCID: PMC10015300

PMID: 36917113

Author information Article notes Copyright and License information PMC Disclaimer

Associated Data

Supplementary Materials

This cross-sectional study examines how key demographic and predisposing factors are associated with consumer trust in pharmaceutical manufacturers.

Introduction

Public distrust in the pharmaceutical industry has increased, in part due to perceptions of pharmaceutical manufacturers as profit seeking and in part due to the actions of pharmaceutical manufacturers, including off-label marketing, overcharging government programs, and concealing data.1 Notwithstanding the underlying mechanism, an unfavorable public perception of pharmaceutical manufacturers is concerning if it translates into poor medication adherence,2 lack of participation in clinical trials,3 and rejection of effective health interventions, including vaccine campaigns.4 In this cross-sectional study, we examined how key demographic and predisposing factors are associated with consumer trust in pharmaceutical manufacturers.

Methods

A nationally representative sample of individuals at high risk of cardiovascular disease (US residents aged 40-64 years, who currently smoke, with high cholesterol, or with a body mass index >25 [calculated as weight in kilograms divided by height in meters squared]) were recruited from the Ipsos Public Affairs LLC KnowledgePanel. Participants completed a survey fielded to 4933 respondents, of whom 3026 respondents started and completed the survey (response rate of 61%). Further details on the survey design are described in an earlier study using the same sample.5 Our cross-sectional study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline and received institutional review board approval from the University of Southern California. All participants provided electronic informed consent.

The dependent variable measured individuals’ trust in pharmaceutical manufacturers on a 5-point Likert scale (ranging from 1 [always distrust] to 5 [always trust]). Independent variables included demographic characteristics (such as gender, race and ethnicity, age, and geographic location) and other predisposing factors, including political affiliation, household income, educational level, self-reported health, and source of health information (including whether they have a regular source of care and whether they rely on digital media for health information).

Characteristics of individuals with high and low levels of trust were compared using χ2 tests. All P values were from 2-sided tests and results were deemed statistically significant at P < .05. The association between demographic characteristics and trust was estimated using adjusted odds ratios (ORs) from an ordered logit regression model.

Results

This cross-sectional study used a nationally representative survey of 2867 individuals at risk of cardiovascular disease (mean [SD] age, 54 [7] years; 1324 women [46%] and 2119 White individuals [74%]). A total of 1145 individuals (40%) considered pharmaceutical manufacturers to be sometimes (1036 [36%]) or always (109 [4%]) trustworthy (Table 1).

Table 1.

Perceptions of Pharmaceutical Manufacturers by Individual Characteristics

CharacteristicNo. (%)P valueb
Total (N = 2867)Low trust (n = 1722)aHigh trust (n = 1145)a
Female1324 (46)790 (46)534 (47).69
White2118 (74)1276 (74)842 (74).74
Age, mean (SD), y54 (7)54 (7)54 (7).06
Political affiliation
Democrat779 (27)426 (25)353 (31)<.001
Independent or other1121 (39)728 (42)393 (34)
Republican956 (33)561 (33)395 (35)
Household income, $
10 000-24 999289 (10)183 (11)106 (9).02
25 000-49 999427 (15)274 (16)153 (13)
50 000-74 999439 (15)269 (16)170 (15)
75 000-99 999422 (15)261 (15)161 (14)
>100 0001290 (45)735 (43)555 (49)
Educational level
No high school diploma or GED145 (5)89 (5)56 (5).09
High school graduate770 (27)462 (27)308 (27)
Some college or Associate’s degree940 (33)587 (34)353 (31)
Bachelor’s degree593 (21)356 (21)237 (21)
Master’s degree or higher419 (15)228 (13)191 (17)
Used the internet, television, or social media as a source of health information1447 (51)849 (49)598 (52).13
Had a usual source of health care in the past year2226 (78)1306 (76)920 (80).005
Self-reported health
Excellent175 (6)97 (6)78 (7).008
Very good950 (33)545 (32)405 (35)
Good1242 (43)749 (44)493 (43)
Fair417 (15)270 (16)147 (13)
Poor81 (3)59 (3)22 (2)
Rural579 (20)348 (20)231 (20).98
Region
Northeast538 (19)295 (17)243 (21).03
Midwest638 (22)389 (23)249 (22)
South1059 (37)638 (37)421 (37)
West632 (22)400 (23)232 (20)

Open in a separate window

Abbreviation: GED, General Educational Development certification.

aTrust in pharmaceutical manufacturers was measured using a survey question that asks about individuals’ trust in pharmaceutical manufacturers on a 5-point Likert scale (ranging from 1 [always distrust] to 5 [always trust]). Of 2874 individuals, 167 (6%) reported always distrusting pharmaceutical manufacturers, 766 (27%) reported sometimes distrusting, 789 (27%) reported neither trusting nor distrusting, 1036 (36%) reported sometimes trusting, and 109 (4%) reported always trusting pharmaceutical manufacturers. “High” trust represents individuals who report that they sometimes or always trust pharmaceutical manufacturers.

bResults from χ2 tests.

Excellent health (OR, 1.70 [95% CI, 1.05-2.75]; P = .03) and having a regular source of care (OR, 1.19 [95% CI, 1.01-1.40]; P = .03) were associated with higher trust in pharmaceutical manufacturers (Table 2). Individuals with Democratic (OR, 1.35 [95% CI, 1.15-1.61]; P < .001) or Republican party affiliation (OR, 1.27 [95% CI, 1.09-1.49]; P = .003) had higher trust relative to those with Independent affiliation. Relative to the west, individuals in the northeast had higher trust (OR, 1.43 [95% C, 1.16-1.77]; P = .001). There were no differences across gender, race and ethnicity, age, income, or educational level.

Table 2.

Adjusted Associations Between Individual Characteristics and Trust in Pharmaceutical Manufacturers

CharacteristicAdjusted odds ratio (95% CI)aP value
Female1.01 (0.88-1.16).87
Race and ethnicity
White0.87 (0.74-1.02).09
Non-Whiteb1 [Reference]
Age1.01 (0.99-1.02).12
Educational level
Bachelor’s degree or higher0.96 (0.82-1.13).66
Some college, high school, or GED1 [Reference]
Political affiliation
Democrat1.35 (1.15-1.61)<.001
Republican1.27 (1.09-1.49).003
Independent or other1 [Reference]NA
Household income, $
<24 9991 [Reference]NA
25 000-49 9990.78 (0.59-1.02).09
50 000-74 9990.99 (0.79-1.24).96
75 000-99 9991.01 (0.80-1.26).92
>100 0001.20 (0.99-1.45).06
Used the internet, television, or social media for health information0.92 (0.81-1.06).29
Had a usual source of health care in the past year1.19 (1.01-1.40).03
Self-reported health
Excellent1.70 (1.05-2.75).03
Very good1.48 (0.98-2.24).06
Good1.38 (0.92-2.06).11
Fair1.21 (0.79-1.86).35
Poor1 [Reference]NA
Region
Northeast1.43 (1.16-1.77).001
Midwest1.17 (0.96-1.44).11
South1.15 (0.96-1.37).18
West1 [Reference]NA

Open in a separate window

Abbreviations: GED, General Educational Development certification; NA, not applicable.

aEstimates represent adjusted odds ratios from an ordered logit regression with pharmaceutical trust as the dependent variable. Pharmaceutical trust is measured on a 5-point Likert scale (ranging from 1 [always distrust] to 5 [always trust]).

bIncluded individuals who self-reported race and ethnicity as Hispanic, Asian, Black, 2 or more races, or other.

Discussion

Approximately 60% of individuals at high risk for cardiovascular disease did not trust pharmaceutical manufacturers. Lack of trust was higher among those in poor health or without a usual source of care, raising concerns that vulnerable populations have experiences where trust has been broken. This also raises concerns about poor medication adherence and lack of treatment-seeking behavior in vulnerable populations. Those with Independent political affiliation had lower trust than those with Republican or Democratic affiliation, suggesting that mainstream political discourse might be associated with pharmaceutical trust. However, those with Independent affiliation might represent different ideological backgrounds. There were significant regional differences, with those in the northeast, where several pharmaceutical firms have a major presence, having higher trust. Limitations to this study include limited generalizability, cross-sectional design, and self-reported data in a survey-based design with potential for nonresponse bias.

Notes

Supplement.

Data Sharing Statement

Click here for additional data file.(13K, pdf)

References

1. McCarthy J. Big pharma sinks to the bottom of U.S. industry rankings. Gallup News. September 3, 2019. Accessed January 27, 2023. https://news.gallup.com/poll/266060/big-pharma-sinks-bottom-industry-rankings.aspx

2. Brown MT, Bussell J, Dutta S, Davis K, Strong S, Mathew S. Medication adherence: truth and consequences. Am J Med Sci. 2016;351(4):387-399. doi: 10.1016/j.amjms.2016.01.010 [PubMed] [CrossRef] [Google Scholar]

3. Pahus L, Suehs CM, Halimi L, et al.. Patient distrust in pharmaceutical companies: an explanation for women under-representation in respiratory clinical trials?BMC Med Ethics. 2020;21(1):72. doi: 10.1186/s12910-020-00509-y [PMC free article] [PubMed] [CrossRef] [Google Scholar]

4. Lyman S. Pharma’s tarnished reputation helps fuel the anti-vaccine movement. Stat News. February 26, 2019. Accessed January 27, 2023. https://www.statnews.com/2019/02/26/anti-vaccine-movement-pharma-tarnished-reputation/

5. Eisenberg MD, Singh Y, Sood N. Association of direct-to-consumer advertising of prescription drugs with consumer health-related intentions and beliefs among individuals at risk of cardiovascular disease. JAMA Health Forum. 2022;3(8):e222570. doi: 10.1001/jamahealthforum.2022.2570 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

Articles from JAMA Network Open are provided here courtesy of American Medical Association

Factors Associated With Public Trust in Pharmaceutical Manufacturers (2024)
Top Articles
Latest Posts
Article information

Author: Prof. Nancy Dach

Last Updated:

Views: 6444

Rating: 4.7 / 5 (57 voted)

Reviews: 88% of readers found this page helpful

Author information

Name: Prof. Nancy Dach

Birthday: 1993-08-23

Address: 569 Waelchi Ports, South Blainebury, LA 11589

Phone: +9958996486049

Job: Sales Manager

Hobby: Web surfing, Scuba diving, Mountaineering, Writing, Sailing, Dance, Blacksmithing

Introduction: My name is Prof. Nancy Dach, I am a lively, joyous, courageous, lovely, tender, charming, open person who loves writing and wants to share my knowledge and understanding with you.