From Linchpin to Lever — Part 1: Measuring Trust in Public Health

In March, we demonstrated that local health departments (LHDs) may be the linchpin for rebuilding trust in public health. The case is simple. LHDs are now the most trusted type of public health organization, they have rebuilt trust beyond pre-pandemic levels, and their trust rests on something different.1,2 It is built on relational foundations such as care, hard work and presence in the community, rather than scientific prestige. We ended with a strategic move — measure trust and build it iteratively through quality improvement processes
But a linchpin only holds a system together. For LHDs to serve as a lever to build trust, public health leaders must know how much trust there is and whether what they are doing is strengthening trust. That requires measurement. But there isn’t a systematic way to do this now. However, there are decades of investment in surveillance systems like the Behavioral Risk Factor Surveillance System (BRFSS) and thousands of community health assessments (CHAs) that could help with that. This post takes up the first half of our strategic move; how can we measure trust in public health?
What Does It Mean to Trust?
Trust is one of those words that feels self-evident until you try to measure it. Because it is so familiar, we rarely stop to ask what it actually means. Researchers have examined this issue and found that trust can be defined as a psychological state in which someone is willing to be vulnerable based on positive expectations of how another party will behave.3 Other research shows that there are four common factors that impact this.4
- Competence asks whether someone can actually deliver on their promise. We cannot form positive expectations about someone we believe is incapable of delivering.
- Benevolence gets at someone’s motive. Do they have good intentions for us or are they only self-interested? It is difficult to be vulnerable with someone we suspect may use that vulnerability against us.
- Integrity refers to honesty, fairness and adherence to defensible principles. We can only extend positive expectations to someone we believe will act on principle even when it is inconvenient or costly for them.
- Predictability refers to the consistency and regularity of behavior over time. It is difficult to form positive expectations about someone whose behavior shifts, especially under pressure.
These factors matter for rebuilding trust in public health because trust in one factor can erode while others hold. A health department can be seen as competent but self-interested, well-intentioned, but unpredictable. Measuring trust overall can tell us whether trust is rising or falling. It cannot tell us why, or where to focus our energy to change it. That requires measuring the dimensions separately.
How Has Trust in the Public Health System Been Measured?
Researchers have been studying trust in the public health system for decades, with that work accelerating since the COVID-19 pandemic. The result is a growing catalogue of measurement approaches, including validated scales, national tracking polls and primary studies. To take stock of what exists, we reviewed nine sources and documented the questions they used to measure trust in the public health system (Figure 1). We captured questions focused on the overall function of the public health system, as opposed to specific actions, such as responding to the COVID-19 pandemic or providing information about vaccines.
Several features of these questions strengthen their ability to measure trust. First, most questions asked about a specific agency, such as the Centers for Disease Control and Prevention (CDC), state health departments or local health departments. Specifying the agency of interest may improve measurement since people may not understand what is included in the general public health system or may have differing views on different agencies. Second, questions took a variety of approaches to measure trust. They examined overall trust, factors influencing trust, similar to those described in the previous section, as well as concepts adjacent to trust such as value or familiarity. The questions identified in our review provide public health leaders with options for developing a system to measure trust.
However, there are some limitations with this catalogue. Some dimensions are covered infrequently or not at all. Predictability is nearly absent across the sources, and benevolence is only partially addressed. These gaps are worth closing, given that inconsistent messaging was on of the most commonly cited drivers of eroding trust during the pandemic.
How We Can Measure Trust in the Public Health System
So how can we build a measurement system? We need one that can provide local estimates consistently across jurisdictions, while also providing the flexibility needed to measure the distinct factors that may be driving trust in separate localities.
BRFSS is a strong vehicle for consistent measurement. BRFSS collects data in all 50 states, Washington D.C. and three U.S. territories. More than 400,000 interviews are completed each year, making it the largest continuously conducted health survey system in the world.5 That scale is what allows for BRFSS data to be aggregated down to the local level for many cities and counties across the U.S. This gives local health departments data that they can act on. Trust belongs on this platform because it shapes the behaviors BRFSS already tracks — vaccination, adherence to preventive measures and engagement with public health guidance.6
Two items from this catalogue stand out as strong candidates for measuring overall trust through BRFSS. Both focus on the full spectrum of public health functions rather than a single activity like issuing recommendations, and both name a broad health outcome without defining it too narrowly. Adapted versions are shown below.
“[State Health Department/Local Health Department] does its best to improve the health of [the population of interest].”
Adapted from Shea’s distrust scale.7
“[State Health Department/Local Health Department] does everything it should to protect the health of [the population of interest].”
Adapted from Holroyd’s lead item.8
Adding new measures to BRFSS is an involved process and not something any single state or health department can do alone. A more immediate path may be through state-added questions, which allow individual states to include supplemental items on their version of the survey. Kansas and other states could begin measuring trust this way, building a local evidence base while making the case for broader national adoption over time.
BRFSS can track whether trust is rising or falling. It cannot tell us why. That is where CHAs come in. Measures of trust could be incorporated into CHAs for this reason. CHAs are not an occasional exercise. They are required every five years for PHAB accreditation, and the IRS requires every nonprofit hospital to conduct its own community health needs assessment (CHNA) every three years. CHAs and CHNAs are being conducted on a rolling basis in nearly every community in the country, creating exactly the kind of recurring, locally rooted infrastructure needed to measure trust and rebuild it at the local level. CHAs and CHNAs could allow public health leaders to examine the specific dimensions of trust described earlier, including competence, benevolence, integrity and predictability, through both surveys and focus groups.
Moving From Linchpin to Lever
The tools exist. BRFSS can be used to establish a consistent baseline for trust across jurisdictions. CHAs can diagnose where trust is strong, where it is eroding, and why. The next step is to put the system to work so local health departments can leverage their trust advantage. But measurement alone will not rebuild trust. In part 2, we examine how quality improvement processes can turn that knowledge into action, and how local health departments can use what they learn to build trust for more ambitious goals.
Figure 1: Selected Instruments and Survey Items for Measuring Trust in Public Health
Nine instruments and surveys used to measure trust and related constructs in the public health system were reviewed. Information from each is abstracted here. Questions were reproduced verbatim from the source. Response options were captured in a separate column. If a question included multiple public health agencies, this was compacted in brackets and itemized in the notes column. Domain labels in plain text are taken from the source. If a source did not assign a domain label to a question, KHI assigned a label based on its wording. These are italicized and marked with an asterisk.
| Citation (Author, Year) | Domain | Question | Response Options | Notes |
| Annenberg Public Policy Center (2025) 9 | Confidence * | In general, how confident, if at all, are you that the following are providing the public with trustworthy information about matters concerning public health? [List of agencies and named officials] | Not at all confident; Not too confident; Somewhat confident; Very confident; Not sure | Battery of national agencies (CDC, FDA, NIH) plus a personal health provider and two named federal officials; no state or local health department referent. |
| de Beaumont Foundation (2022) 10 | Importance*† | In your opinion, how important of a role, if at all, do each of the following have in creating a healthy community? [List of community agencies, including local health departments] | Very important; Somewhat important; Not too important; Not important at all; Don’t know | Battery of community agencies (hospitals, schools, fire and police departments, parks, businesses, libraries) including local health departments. Measures perceived importance of role, not trust. |
| Familiarity * | How familiar, if at all, would you say you are with each of the following? [List of community agencies, including local health departments] | Not specified in source reviewed | Same agency battery. Measures familiarity, not trust. Response scale not specified in source reviewed. | |
| Favorability * | Based on what you know, do you have a favorable or unfavorable opinion of your local health official? | Not specified in source reviewed | Single referent (local health official). Measures favorability, not trust. Response scale not specified in source reviewed. | |
| Eisenman et al. (2012) 11 | Competency | How confident are you that the County’s public health system can respond effectively to protect the health of the public? | Very confident; Somewhat confident; Not too confident; Not at all confident | All four items preceded by a scenario lead-in — “imagine that a terrorist or bioterrorist attack were to occur in Los Angeles County.” Response options were read aloud as part of each item. Validated 4-item scale (Public Health Disaster Trust Scale); disaster framing limits use in non-emergency contexts. |
| Fairness | How confident are you that the County’s public health system will respond fairly to your health needs, regardless of your race, ethnicity, income or other personal characteristics? | |||
| Honesty | How confident are you that the County’s public health system will provide honest information to the public? | |||
| Confidentiality | If there were an attack and the County’s public health system needed to collect information on you, such as race, income and citizenship, how confident are you that this information would not be used against you? | |||
| Holroyd et al. (2021) 8 | Beneficence | They do everything they should to protect the health of the population. | Strongly agree; Agree; Disagree; Strongly disagree | Mix of positively and negatively worded items (negative items reverse-scored). Labels are the authors’ 10ten a priori content domains; the validated scale loads on two factors — beneficence and competence. |
| Beneficence | They are partly responsible for the illegal drug problems in this country. | |||
| Efficiency | They use resources well. | |||
| Efficiency | They waste money on health problems. | |||
| Innovation | They keep trying the same things to help the public, even when they don’t work very well. | |||
| Innovation | They come up with new ideas to solve health problems. | |||
| Objectivity | They base recommendations on the best available science. | |||
| Competence | They ensure the public is protected against diseases. | |||
| Equity | They are more concerned about some racial and ethnic groups than other groups. | |||
| Equity | They are concerned about all people, without caring about who has more or less money. | |||
| Transparency | They accurately inform the public of both health risks and benefits of medicines. | |||
| Responsiveness | They quickly help the public with health problems. | |||
| Accuracy | They make unhelpful recommendations. | |||
| Integrity | They believe in what they recommend for the public. | |||
| KFF (2025) 12 | Trust * | How much do you trust [insert agency] to make the right recommendations when it comes to health issues? | A great deal; A fair amount; Not much; Not at all | Stem uses an “[insert agency]” fill-in; agencies rotated through included the CDC, FDA, and state or local health departments. |
| Melchinger et al. (2025) 1 | Confidence * | How much confidence do you have in each of these organizations? [List of public health agencies — national, state, and local] | Very little; Little; Some; Much; Very much; I don’t know | Asked across a battery including the CDC, FDA, and state and local health departments. |
| Shea et al. (2008) 7 | Competence | The health care system does its best to make patients’ health better. | Strongly disagree; Disagree; Neutral; Agree; Strongly agree | Health care system referent — items do not reference the CDC, state, or local health departments. Distrust scale: higher agreement indicates greater distrust, and positively worded items are reverse-scored. Domains are the authors’ two subscales (competence, values). |
| Values | The health care system covers up its mistakes. | |||
| Competence | Patients receive high quality medical care from the health care system. | |||
| Competence | The health care system makes too many mistakes. | |||
| Values | The health care system puts making money above patients’ needs. | |||
| Competence | The health care system gives excellent medical care. | |||
| Values | Patients get the same medical treatment from the health care system no matter what the patient’s race or ethnicity. | |||
| Values | The health care system lies to make money. | |||
| Values | The health care system experiments on patients without them knowing. | |||
| SteelFisher et al. (2023) 2 | Trust * | In terms of recommendations made to improve health in general, how much do you trust the recommendations of each of the following groups? [List of public health agencies — national, state, and local] | A great deal; Somewhat; Not very much; Not at all | Asked across a battery (CDC, state, and local health departments). Fielded February 2022 during COVID-19; the wording itself is not pandemic-specific. |
| SteelFisher et al. (2024) 13 | Trust * | In terms of recommendations made to improve health in general, how much do you trust the recommendations of each of the following groups? [CDC and state public health department] | A great deal; Somewhat; Not very much; Not at all | Wording identical to SteelFisher (2023), enabling trend comparison. Referents: the CDC and state public health departments. |
References
- Melchinger H, Omer SB, Malik AA. Change in confidence in public health entities among US adults between 2020-2024. PLOS Glob Public Health. 2025 Jun 26;5(6):e0004747. doi: 10.1371/journal.pgph.0004747. PMID: 40569895; PMCID: PMC12200701.
- SteelFisher GK, Findling MG, Caporello HL, Lubell KM, Vidoloff Melville KG, Lane L, Boyea AA, Schafer TJ, Ben-Porath EN. Trust In US Federal, State, And Local Public Health Agencies During COVID-19: Responses And Policy Implications. Health Aff (Millwood). 2023 Mar;42(3):328-337. doi: 10.1377/hlthaff.2022.01204. PMID: 36877902; PMCID: PMC11318038.
- Ben-Ner & Freyr Halldorsson, “undated”. “Measuring Trust: Which Measure Can Be Trusted? Working Papers 0207, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
- Dietz, G., & Hartog, D. (2006). Measuring trust inside organizations. Personnel Review, 35(5), 557-588. https://doi.org/10.1108/00483480610682299
- Behavioral Risk Factor Surveillance System. Accessed June 19, 2026. https://www.cdc.gov/brfss/index.html
- Kalulu P, Fisher A, Whitter G, Sener I, Doering M, Carter DB, Gabel M, Ding J, Esposito M, McMurtry CL, Sopory P, Huffman MD. Trust, trust repair, and public health: a scoping review. Front Public Health. 2025 Jun 11;13:1560089. doi: 10.3389/fpubh.2025.1560089. PMID: 40575096; PMCID: PMC12199165.
- Shea JA, Micco E, Dean LT, McMurphy S, Schwartz JS, Armstrong K. Development of a revised Health Care System Distrust scale. J Gen Intern Med. 2008 Jun;23(6):727-32. doi: 10.1007/s11606-008-0575-3. Epub 2008 Mar 28. PMID: 18369678; PMCID: PMC2517896.
- Holroyd TA, Limaye RJ, Gerber JE, Rimal RN, Musci RJ, Brewer J, Sutherland A, Blunt M, Geller G, Salmon DA. Development of a Scale to Measure Trust in Public Health Authorities: Prevalence of Trust and Association with Vaccination. J Health Commun. 2021 Apr 3;26(4):272-280. doi: 10.1080/10810730.2021.1927259. Epub 2021 May 16. PMID: 33998402; PMCID: PMC8225577.
- Annenberg Public Policy Center of the University of Pennsylvania. ASAPH W25 confidence [topline]. Published September 18, 2025. Accessed June 20, 2026. https://www.annenbergpublicpolicycenter.org/wp-content/uploads/aw25-do10-topline-conf-v1.pdf
- de Beaumont Foundation. The value of local public health departments. Published December 8, 2022. Accessed June 20, 2026. https://debeaumont.org/news/2022/new-poll-results-show-broad-public-support-for-public-health-departments/
- Eisenman DP, Williams MV, Glik D, Long A, Plough AL, Ong M. The public health disaster trust scale: validation of a brief measure. J Public Health Manag Pract. 2012 Jul-Aug;18(4):E11-8. doi: 10.1097/PHH.0b013e31823991e8. PMID: 22635199.
- Kearney A, Sparks G, Hamel L, Montalvo J III, Valdes I, Kirzinger A. KFF tracking poll on health information and trust: January 2025. KFF. Published January 28, 2025. Accessed June 20, 2026. https://www.kff.org/health-information-trust/kff-tracking-poll-on-health-information-and-trust-january-2025/
- SteelFisher GK, Findling MG, Caporello HL, Boyea A, Espino L, Sutton J. Trust and 2024 Public Priorities for the CDC and State Health Departments. JAMA Health Forum. 2024 May 3;5(5):e240862. doi: 10.1001/jamahealthforum.2024.0862. PMID: 38787541; PMCID: PMC11127117.
About Kansas Health Institute
The Kansas Health Institute supports effective policymaking through nonpartisan research, education and engagement. KHI believes evidence-based information, objective analysis and civil dialogue enable policy leaders to be champions for a healthier Kansas. Established in 1995 with a multiyear grant from the Kansas Health Foundation, KHI is a nonprofit, nonpartisan educational organization based in Topeka.