| Literature DB >> 35942296 |
Anastassia Demeshko1, Lisa Buckley1, Kylie Morphett1, Jean Adams2, Roger Meany3, Katherine Cullerton1.
Abstract
Noncommunicable diseases (NCD) are an increasing global threat. Utilising public policy to address NCDs can reduce incidence and prevalence. However, NCD-relevant public policy action is minimal in many countries as changing public policy is difficult and multifactorial. Two factors that may influence this process is the message people receive and the messenger delivering it. To date, much health communication research has focused on message content, with limited research on messengers that are trusted by policymakers and the public to communicate NCD matters. We aimed to review the literature to characterise who the public and policymakers consider to be trustworthy and/or credible for NCD messaging, and why this might be the case. Arksey and O'Malley's scoping review methodology guided the review. A systematic search of three databases up to June 2021 combined with hand searching of review reference lists was undertaken. Nineteen articles were included. Data extraction focused on study design, issue being influenced, spokesperson studied, and measures of trust. Results showed health professionals were the most-frequently trusted sources of information. Other spokespeople, such as government sources or religious leaders, were only trustworthy in some contexts, and even distrusted in others. Reasons why spokespeople were trusted included technical expertise, strategic engagement with stakeholders, and reputation. However, we also found the nature of trust and credibility of spokespeople is dependent on the studied population and context. Overall, characteristics of influential messengers were nonspecific. Thus, trusted messengers and their characteristics in NCD-messaging must be better understood to develop and maintain the trust of the public and policymakers.Entities:
Keywords: Credibility; FDA, US Food and Drug Administration; Health policy; Messengers; NCD, noncommunicable disease; Noncommunicable disease; Public health; Spokespeople; Trust
Year: 2022 PMID: 35942296 PMCID: PMC9356185 DOI: 10.1016/j.pmedr.2022.101934
Source DB: PubMed Journal: Prev Med Rep ISSN: 2211-3355
Conceptual breakdown of the research question based on the ‘Population, Concept, and Context’ Framework.
| Population | Public health spokespeople |
| Concept | Trustworthiness and credibility in the public’s perspective and that of policymakers |
| Context | Public health factors relating to non-communicable diseases in adults |
Inclusion and exclusion criteria used for record screening.
| Articles were included that: | Articles were excluded if it: |
Fig. 1PRISMA flowchart of the selection process.
Study characteristics.
| First author, year (Country) | Study design and data collection | Issue being influenced | Participants studied | Sample size | Spokesperson studied | Who are the spokespeople influencing? | How was trust/credibility/influence assessed? |
|---|---|---|---|---|---|---|---|
| Boyd, | Qualitative study; In-depth interviews | Environmental and health risks in the Kuujjuaq (Arctic) community | Self-identified Inuit adults | n = 112 | Health professionals (e.g., doctors, nurses), health organisations, and close relationships (e.g., family, friends, elders, etc.). | Public | Responses to: who (individuals and organisations) are trusted as sources of health risk communication messages? Frequency of common responses and quotes to the open-ended question were presented. |
| Bull, | Cross-sectional study; experimental (3x3) vignette questionnaire survey (x9 scenarios) | Role authenticity and health behaviour change agenda relating to smoking cessation, preventing cot death, and fire safety | Adults (convenience sample recruited in public spaces in north-west England) | n = 369 | General practitioner, health visitor, or firefighter | Public | Three source credibility dimensions as part of a validated multidimensional 18-item source credibility tool - competence, caring, and trustworthiness were rated on a 7-point Likert scale ( |
| Case, 2017 | Cross-sectional study; Mailed questionnaire and/or random digit dialling | Health information about the effects of e-cigarettes, and general health | Adults (nationally representative sample) | n = 3738 | Doctors, government health agencies, and health organizations or groups; pharmacists/ healthcare providers, government health agencies, health organization or groups, tobacco companies, and e-cigarette companies. | Public | A mean ‘trust in source’ single-item measure was created for each spokesperson with responses ranging from 1 (“not at all”) to 4 (“a lot”). |
| Chung, 2012 | Qualitative study; In-depth interviews | Health representatives in low-income communities | African American and Latinx adults | n = 14 | Community health representatives (e.g., doctor, local elected official, religious leader) | Public | Responses to a series of questions about who in their community would best represent their health interests and why. Prompted protocol answers relating to specific characteristics were provided as respondents struggled to conceptualise answers. |
| Clayton, 2015 | Qualitative study; In-depth interviews | Food policy councils (FPC) across the US | FPC members and policy experts (identified by the FPCs) | FPCs, n = 12. | FPCs and policy experts | Policymakers | Responses to questions about how and why FPCs engage in specific policies, barriers and opportunities to policy engagement, and strategies for advancing FPC priorities through partnerships. |
| Hartman, 2013 | Mixed-methods study; observation of community and interviews | Ghanaian, Antillean and Surinamese mothers' physical activity program | Ghanaian, Antillean and Surinamese mothers in the Netherlands | Mothers, n = 32. Ethnically matched ‘key figures/ recruiters’, n = 14. | Ethnically specific channels/organisations/key figures as recruiters | Public | Quantitative data reporting on observation of program participation and receptivity based on the recruiter used plus qualitative data examining why the recruiter was considered trusted/effective. |
| Haynes, 2012 | Qualitative study; Semi-structured interviews | Australian policymakers' engagement with researchers | Civil servants, ministers, and ministerial advisors | n = 26 | Health researchers peer-nominated participants for the study based on whom they previously worked with in the policymaking process | Policymakers | Responses to questions relating to the identification and assessment of health researchers that participants chose to work with throughout the policymaking process. |
| Jackson, 2019 | Cross-sectional study (five timepoints); mailed questionnaire and/or random digit dialling | Trust in general health information sources | Adults over the age of 18 (nationally representative sample) | 2005, n = 5586 | Government health agencies, doctors, family/friends, charitable organizations, and religious leaders/organizations | Public | Trust was assessed by asking: in general, how much would you trust information about health/medical topics from *listed spokespeople*? Responses were on a scale of trust “a lot”, “some”, “a little” and “not at all”. |
| Jarman, 2018 | Experimental study; eye tracking (to four visual messages) and survey. | Impact of communication about cigarette smoke constituents | 18–65-year-old current cigarette smokers (defined as: smoked > 100 cigarettes in their life, and smoking cigarettes some days or every day in the last 30 days) | n = 211 | FDA | Public | Gaze time (eye tracking) was summed across four ads. After viewing each message, participants answered x4 questions about (1) believability of the message, (2) discouragement from wanting to smoke, (3) how much the message made them want to quit smoking, and (4) how much the message helps them to quit smoking. Responses were scored on a scale of 1–9 where 1 = Strongly Disagree, 5 = Neutral, 9 = Strongly Agree. |
| Jovanova, 2021 | Experimental study; survey | Tobacco and smoking perceptions in lower-socioeconomic populations | Adult smokers | n = 242 | FDA and American Cancer Society | Public | Participants viewed a set of nine cigarette pack images, featuring the original FDA–proposed graphic warning labels. Sponsors were manipulated to generate three between-subject conditions: no sponsor information, FDA, or American Cancer Society. After viewing the images, participants completed a survey assessing who they believed put the warning labels on the packs, source credibility perceptions, and demographics, on a six-item scale. Ratings were averaged into three-point credibility scales. |
| Kowitt, 2019 | Experimental 2x2x2 study; web-based survey | Perceptions of tobacco constituents | Adults (≥18) who reported smoking cigarettes in the past 30 days. | n = 1669 | FDA | Public | Source of the message (FDA vs no source) was one manipulated factor. After viewing the message, respondents rated its believability, perceived effectiveness, source credibility (based on three items: credible, trustworthy, and an expert), and action expectancies (i.e., likelihood of seeking additional information and help with quitting as a result of seeing the message). Credibility scores were averaged and compared. |
| Lantz, 2016 | Experimental vignette study; Internet-based survey via KnowledgePanel | US public's knowledge-of and attitudes toward evidence-based guidelines for preventative care (breast and prostate cancer) | US adults (KnowledgePanel nationally representative sample) | n = 2529 | US Preventive Services Task Force – e.g., doctors, nurses, researchers/medical scientists, government health agencies, etc. | Public | Likert-scale attitudinal questions measured respondents’ opinions about what professionals or groups participate in developing guidelines for preventive services, and who they trust most to do this. |
| Owusu, 2019 | Cross-sectional study (three timepoints); Internet-based survey via KnowledgePanel | US public health messaging relating to e-cigarettes | US adults who reported awareness of e-cigarettes | 2015, n = 5389 | Health experts and scientists, FDA, CDC, companies that manufacture and sell cigarettes/cigars, companies that manufacture and sell electronic vapor products, vape shop employees, and news media (newspapers, magazines, TV, internet). In 2016–17, six sources added: family & friends, your doctor/other medical provider, people who use electronic vapour products, social media sites, NIH, health organisations or groups (i.e., American Cancer Society). | Public | Trust in health information sources was assessed by asking: “how much do you trust what each of the following say about health effects of electronic vapour products?”. Responses were recorded on a five-point scale of (–2 = strongly distrust to 2 = strongly trust) or “don’t know”; weighted mean scores were calculated and compared. |
| Pell, 2019 | Cross-sectional study; Self-completed web-based survey | Soft drinks industry levy attitudes and trust, based on 2017 International Food Policy Study | UK adults;Mean age: 38yrs | n = 3104 | Health experts and, food and drinks industry | Public | Trust in experts and the food industry were measured on a 7-point Likert scale (Strongly agree to strongly disagree; including neither agree or disagree and refuse to answer) in response to the statement “I trust messages from X on sugary drinks”. |
| Perrella, 2015 | Experimental study; telephone survey | Water fluoridation in Canada - residents in a 2010 referendum voted to stop water fluoridation in Waterloo | Waterloo adults | n = 376 | Celebrity spokesperson from the Council of Canadians and WHO/health experts | Public | Credibility heuristic was measured by manipulating the source (three groups) and assessing whether opinions about the relative risks and benefits of fluoridation were dependent on the messenger. Responses were coded on a continuous scale ranging from 1 (agree) to 0 (disagree). |
| Phua, 2016 | Experimental 2x2 study; Interviewed in a prominent mall location | Obesity public service announcements; diet/exercise, information seeking, and electronic word-of-mouth intention | US residents that visited a shopping mallAge: 18–21 yrs | n = 200 (100 overweight and 100 non-overweight participants by BMI) | Real person (with type II diabetes) vs actor spokesperson (defined by text at start of PSA) | Public | Three dimensions of credibility were measured on a 7-point Likert scale containing six items using a validated multidimensional 18-item source credibility tool ( |
| Smith, 2018 | Case study; Documentary data (consultation exercise and semi-structured, narrative interviews) | EU tobacco control and health inequalities policy (Marmot Review) in England | Policymakers, researchers, advocacy groups and other individuals who were involved in policy discussions relating to each case study | Case study 1 (CS1), n = 35.Case study 2 | Stakeholders such as policymakers, researchers, and advocacy groups, who contributed to the cases of interest | Policymakers | Qualitative accounts from those involved with the policy process and what was believed to be successful (thematic analysis). Policy documents reviewed to find data in response to the consultation questions and network analysis. |
| Suarez, 2021 | Qualitative ethnographic study; Participant observation in their homes, in-depth interviews, informal conversations, and follow-up visits | Understandings of nutrition in elderly populations through an ethnographic approach | Elderly residents; nutritional experts and health practitioners | Residents n = 17. Nutritionists n = 7. Health practitioners n = 6 | Physicians and nutritionists | Public | Qualitative accounts from respondents over seven months, and observations of their dietary changes, food shopping routines, cooking practices, and community relationships (including what nutritional information they found useful and how this was circulated). |
| Wilcox, 2021 | Quasi-experimental study; telephone surveys at baseline and 12 months (completed by pastors/church leaders) | Faith-based organisations' role in promoting health and managing chronic disease - part of the 'Faith, Activity, Nutrition' program dissemination and implementation study | Churches in the 'Conference of the United Methodist Church' trained by Community Health Advisors | n = 93 | Churches/their group leaders | Public | Assessed program implementation outcomes based on core components (included items relating to sharing messages and engaging pastors). Items were rated on a 4-point Likert scale reflecting frequency of conducting each activity (1 = “rarely or never”, and 4 = “about weekly” or “almost all of the time”. Mean scores were calculated for multi-item scales. |
| FDA: US Food and Drug Administration; CDC: US Centre for Disease Control; FPC: Food Policy Council; NIH: National Institute of Health; WHO: World Health Organization; PSA: public service announcement; EU: European Union. | |||||||
Explored reasons for why spokespeople were perceived to be trusted and/or credible in the NCD-related public health context.
| Characteristics identified to be important for trusted spokespeople | Studies that reported the characteristic | Does the characteristic relate to – influencing the public, policymakers, or both? |
|---|---|---|
| Technical expertise and/or credibility due to professional status | (50,54,56,64–67) | Both |
| Strategic engagement and/or connection to the involved stakeholders | (54,61,64,66) | Both |
| Reputation and evidence of effective outcomes delivered during their past professional role or in the community | (54,56,65,66) | Both |
| Role authenticity | (54,56,67,68) | Public |
| Interpersonal skills | (56,64,65) | Both |
| Value similarity | (54,60,62) | Public |
| Care and altruism relating to the cause or community | (56,60,62) | Public |
| Passionate and enthusiastic about the cause | (61,62) | Public |
| Leadership, relationship-building and collaborative skills | (64,65) | Both |
| Transparency and openness of an individual | (54) | Public |
| Pragmatic problem-solving approach that is considerate of the context | (65) | Policymakers |