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The Milbank Quarterly logoLink to The Milbank Quarterly
. 2016 Mar 14;94(1):51–76. doi: 10.1111/1468-0009.12181

Knowledge of and Attitudes Toward Evidence‐Based Guidelines for and Against Clinical Preventive Services: Results from a National Survey

PAULA M LANTZ 1,, W DOUGLAS EVANS 2, HOLLY MEAD 2, CARMEN ALVAREZ 3, LISA STEWART 4
PMCID: PMC4941980  PMID: 26994709

Abstract

Policy Points:

  • Both the underuse and overuse of clinical preventive services relative to evidence‐based guidelines are a public health concern.

  • Informed consumers are an important foundation of many components of the Affordable Care Act, including coverage mandates for proven clinical preventive services recommended by the US Preventive Services Task Force. Across sociodemographic groups, however, knowledge of and positive attitudes toward evidence‐based guidelines for preventive care are extremely low.

  • Given the demonstrated low levels of consumers’ knowledge of and trust in guidelines, coupled with their strong preference for involvement in preventive care decisions, better education and decision‐making support for evidence‐based preventive services are greatly needed.

Context

Both the underuse and overuse of clinical preventive services are a serious public health problem. The goal of our study was to produce population‐based national data that could assist in the design of communication strategies to increase knowledge of and positive attitudes toward evidence‐based guidelines for clinical preventive services (including the US Preventive Services Task Force, USPSTF) and to reduce uncertainty among patients when guidelines change or are controversial.

Methods

In late 2013 we implemented an Internet‐based survey of a nationally representative sample of 2,529 adults via KnowledgePanel, a probability‐based survey panel of approximately 60,000 adults, statistically representative of the US noninstitutionalized population. African Americans, Hispanics, and those with less than a high school education were oversampled. We then conducted descriptive statistics and multivariable logistic regression analysis to identify the prevalence of and sociodemographic characteristics associated with key knowledge and attitudinal variables.

Findings

While 36.4% of adults reported knowing that the Affordable Care Act requires insurance companies to cover proven preventive services without cost sharing, only 7.7% had heard of the USPSTF. Approximately 1 in 3 (32.6%) reported trusting that a government task force would make fair guidelines for preventive services, and 38.2% believed that the government uses guidelines to ration health care. Most of the respondents endorsed the notion that research/scientific evidence and expert medical opinion are important for the creation of guidelines and that clinicians should follow guidelines based on evidence. But when presented with patient vignettes in which a physician made a guideline‐based recommendation against a cancer‐screening test, less than 10% believed that this recommendation alone, without further dialogue and/or the patient's own research, was sufficient to make such a decision.

Conclusions

Given these demonstrated low levels of knowledge and mistrust regarding guidelines, coupled with a strong preference for shared decision making, better consumer education and decision supports for evidence‐based guidelines for clinical preventive services are greatly needed.

Keywords: clinical preventive services, patient engagement, evidence‐based guidelines, survey research


Clinical preventive services are a type of “preference‐sensitive care,” meaning that patients have valid options and thus their preferences and perspectives should play an important role in care decisions.1 The Patient Protection and Affordable Care Act (ACA) requires that most health insurance plans cover specified clinical preventive services without cost sharing, including those that receive an A or B rating from the US Preventive Services Task Force (USPSTF).2 Because the USPSTF's recommendations have a greater role in insurance benefit design, it is now even more important that patients/consumers understand how these evidence‐based recommendations are developed and that patients and providers be able to communicate effectively about them in order to make informed decisions about clinical preventive services.

Previous research shows that consumers generally are not well informed about evidence‐based care and that they hold beliefs and values that interfere with optimal decisions; this includes the belief that more care is almost always better.3, 4 In addition, attempts to inform consumers about treatments and tests that are overused and often unnecessary (such as the Choosing Wisely campaign) face the difficult challenge of telling people “what not to do.”5 Many of the clinical preventive services that the USPSTF reviews do not result in a recommendation for routine use (eg, ovarian cancer screening), and the rating for others has changed over time to a C grade or lower.6 When preventive service guidelines no longer support routine use, criticism and controversy often ensue. This is evident in the USPSTF's recent recommendations against prostate‐specific antigen (PSA) screening, mammography for women in their forties, and annual Pap test screening.7, 8, 9, 10 Reactions from the public, providers, professional associations, advocacy groups, and the media included charges of “bad science” and “health care rationing.”11, 12, 13, 14, 15

Numerous studies have found that changes in the USPSTF's recommendations regarding cancer screening, albeit controversial, do affect the use of screening.16, 17, 18 Even so, both patients and providers have low levels of awareness and compliance regarding the USPSTF.10, 19, 20, 21 For example, a national survey of obstetricians/gynecologists in late 2009 revealed low levels of knowledge of the USPSTF and how it operates, and a high level of concern that cost influences guideline development.22

The goal of our study was to produce population‐based national data that could assist in the development of communication strategies to increase knowledge of evidence‐based guidelines for clinical preventive services and to reduce uncertainty among patients when these guidelines are contested or controversial. In this study, we addressed 4 research questions: (1) How well do US health care consumers understand clinical preventive services and their guidelines? (2) What are the prevalent attitudes toward guidelines for clinical preventive services generally and the USPSTF specifically? (3) How do consumers view the use of guidelines in informed decision making regarding preventive care? and (4) Are there specific beliefs and attitudes that may represent barriers to following evidence‐based guidelines?

Uncertainty and confusion about evidence‐based guidelines and the processes that create them are likely related to both the underuse and overuse of clinical preventive services.10, 23, 24 The results of this national survey, therefore, should be useful in developing effective educational messages, materials, and decision aids informing consumers about evidence‐based guidelines regarding clinical preventive services, particularly those that the guidelines do not recommend for routine use.

Methods

In October and November 2013, we fielded an Internet‐based survey of a nationally representative sample of adults aged 18 years and older via KnowledgePanel, a probability‐based survey panel of approximately 60,000 people designed to be statistically representative of the US noninstitutionalized population.25, 26 KnowledgePanel uses the Postal Service Delivery Sequence File (a 97% complete list of all residential households) to randomly select participants to answer some survey questions each week. Households that do not already have Internet connectivity and/or a computer are given these resources at no cost for as long as they are part of the panel.27 Because the KnowledgePanel is nationally representative, a growing number of studies using this population‐based sample have been published in leading health journals.28, 29

A random sample of adult panelists was invited to participate in our survey, with a purposive oversample of African Americans, Hispanics, and adults with less than a high school education. The survey was offered in English or Spanish, with a goal of 2,500 respondents. As is common in Internet‐based survey panels, we invited a sample of potential respondents (n = 4,160) to participate and stopped collecting data after 31 days when we had reached the desired sample size based on power calculations (n = 2,529). In this approach, the concept of a response rate does not apply. Because we already had sociodemographic and other information about all the panel members, including both the responders and the nonresponders, we created survey weights to adjust for any observed differences in survey participation. We also created weights to adjust for the panel's participation and for the purposive oversampling. A total of 2,529 people completed the survey (91.2% in English and 8.8% in Spanish), and the weighted data created a sample (n = 1,794) representative of the noninstitutionalized US adult population.25

Variables

The survey included a number of questions designed to measure knowledge and awareness of clinical preventive services, guidelines for preventive services, the USPSTF, and whether the ACA (or Obamacare) requires coverage without cost sharing for services recommended by the USPSTF. After preliminary knowledge questions, the survey listed definitions and information/examples of clinical preventive services, guidelines, and the USPSTF.

The survey contained a number of Likert‐scale attitudinal questions designed to measure respondents’ opinions about what types of professionals or groups participate in developing guidelines for clinical preventive services, and what professionals/groups they would most trust to do this. This included doctors, nurses, researchers/medical scientists, government health agencies, government health experts, disease advocacy groups, pharmaceutical companies, insurance plans, and patients/health care consumers. Examples of groups/organizations were “government agencies” such as the Centers for Disease Control and Prevention and the Food and Drug Administration; “professional groups/organizations” like the American Medical Association; and “disease advocacy groups” such as the American Cancer Society and the American Heart Association.

In addition, the survey asked a series of questions designed to obtain attitudinal information about how patients should make decisions in the face of guidelines that recommend against getting a clinical preventive service. These questions asked about the conditions in which guidelines should recommend against a particular service (eg, research shows that getting the service does not make a difference; it is for a disease that is very rare; it will cost the patient too much money; experts do not agree on whether the service is effective).

The survey instrument also contained 2 clinically realistic and appropriate vignettes (based on formative research with 175 providers) concerning patients asking a physician for a cancer‐screening test that the USPSTF currently does not recommend. The patient's race (white/black/no race) was randomly assigned to see whether race was associated with the respondents’ attitudes toward how the physician should respond to each request:

Vignette 1: A 55‐year‐old (white/black/no race) man goes to his doctor because he is having problems urinating. He tells his doctor that he wants to get the PSA blood test for prostate cancer. His doctor tells him that he has a very common problem and that he will do an examination. He also tells the man that routine PSA tests are no longer recommended by a government task force and that he doesn't think it is necessary at this time.

Vignette 2: A 45‐year‐old (white/black/no race) woman just found out that her best friend was diagnosed with breast cancer. She immediately calls her doctor to get a referral for a mammogram. Her doctor tells her that based on her personal history, she is not at high risk for breast cancer, and that a government task force no longer routinely recommends mammograms for women in their 40's. She can wait until she is 50 years old to get her first mammogram.

The response options included trust the doctor and not get the test; tell the doctor that the patient wants to do her or his own research/reading and decide for herself or himself; tell the doctor that she or he still wants the test and insists on it; or have a discussion with the doctor and reach a joint decision.

Data Analysis

We investigated the prevalence and sociodemographic covariates associated with knowledge and attitudinal variables regarding (1) clinical preventive services in general; (2) what the guidelines are and how they are created; (3) the USPSTF and its processes; and (4) controversial guidelines that recommend against PSA tests and mammography screening for persons aged 40 to 49.

We used weighted data in all the analyses and ran descriptive statistics for all the survey questions to understand the distribution of responses. We conducted logistic multivariable regression analysis on a selected set of knowledge and attitudinal variables to identify sociodemographic characteristics associated with knowledge and positive attitudes. In addition, we conducted multivariable logistic regression analyses to identify sociodemographic and attitudinal characteristics associated with the 2 responses of most interest in the patient cancer‐screening vignettes: (1) trust the recommendation and not get the screening test and (2) have a discussion with the doctor and reach a joint decision.

The control variables in multivariable logistic regression analysis included age group (18 to 29, 30 to 44, 45 to 59, 60 and older); gender (male, female); education level (less than high school, high school, some college, college grad or more); household annual income ($0–$24,999; $25,000–$59,999; $60,000–$99,999; $100,000 or more); race (white, black, other); Hispanic ethnicity (yes or no); health insurance (yes or no); and Internet at home (yes or no).

Results

The descriptive results revealed a low level of knowledge (Table 1). Only 19.6% of respondents reported having heard of “clinical preventive services” as a kind of health care and only 7.7% had heard of the USPSTF. The respondents’ self‐reported understanding improved after they read a brief definition (with explanations) of clinical preventive services. Approximately 1 in 3 adults (36.4%) reported knowing that the ACA requires most insurance companies to cover proven preventive services without copays or other cost sharing for patients.

Table 1.

Knowledge of and Attitudes Toward Clinical Preventive Services and Guidelines, US Adults, 2013 (n = 1,794)

Self‐Reported Knowledge Percentage Yes (n)
Heard of type of health care services called clinical preventive services
Yes 19.6% (350)
No 58.1% (1,043)
Not sure 22.0% (401)
Would rate current understanding of clinical preventive services as
Excellent 1.2% (22)
Very good 4.1% (73)
Good 9.9% (178)
Fair 11.6% (207)
Poor 13.7% (245)
Had not heard of before 59.5% (1,068)
Heard of the US Preventive Services Task Force 7.7% (139)
Knew that Affordable Care Act requires most insurance companies to cover many preventive services without copay or other cost sharing 36.4% (653)
Attitudes After Reading a Description of USPSTF Percentage Strongly Agree/Agree (n)
It is important for health care providers to follow guidelines when they are advising patients about clinical preventive services. 53.4% (958)
Research should be the most important thing in making guidelines for clinical preventive services. 50.6% (908)
The government uses guidelines to ration health care in public programs like Medicare and Medicaid. 38.2% (685)
I trust that a government task force will make good and fair guidelines for clinical preventive services. 32.6% (585)
Insurance plans should not pay for health care services that have not been shown to be effective through research. 28.7% (516)
Insurance plans should only cover clinical preventive services that are recommended by guidelines. 21.3% (383)
Attitudes Regarding When Guidelines Should Recommend Against
Getting a Type of Clinical Preventive Service Percentage Strongly Agree/Agree (n)
Research shows that getting the service does not make a difference. 63.9% (1,146)
Research shows that potential harms are greater than benefits. 65.2% (1,179)
Experts do not agree on whether or not it is effective. 47.1% (553)
Getting the test causes many people to have to get more tests. 35.3% (633)
The preventive service will cost the patient too much money. 29.9% (536)
The preventive service is for a disease that is very rare. 27.8% (499)
Many people find the test or service unpleasant or painful. 12.2% (219)
The preventive service will cost the insurance company too much. 10.7% (192)

General Knowledge of and Attitudes Toward Guidelines

Approximately one‐half of respondents strongly agreed or agreed that it is important for providers to follow guidelines when they are advising patients (53.4%) and that research should be the most important factor when crafting guidelines for preventive services (50.6%) (see Table 1). But 38.2% of the respondents also believed that the government uses guidelines to ration health care in Medicaid and Medicare, and only 32.6% reported trusting that a government task force would make good and fair guidelines for preventive services.

When asked about what circumstances might lead to guidelines that recommend against a specific preventive service, those with the highest levels of support included when research shows that getting the service does not make a difference (63.9%), when research shows that the potential harms are greater than the benefits (65.2%), and when experts do not agree on whether the service is effective (47.1%). Also, about 1 in 3 respondents agreed that insurance plans should not pay for services that have not been shown to be effective. Overall, the univariate results suggest that US adults have low levels of knowledge about clinical preventive services and their guidelines, and while many seem to value the role of research/scientific evidence in preventive services guidelines, the majority of respondents do not trust the government to make fair guidelines or believe that insurance coverage should be tied to research effectiveness or guideline recommendations.

Sociodemographic Characteristics Associated with Knowledge and Beliefs About Guidelines. Regression analyses revealed that knowledge of and attitudes toward clinical preventive services and the USPSTF are determined somewhat by sociodemographic characteristics (Table 2). For example, compared with those aged 18 to 29, those aged 60 and older are more likely to report knowing that the ACA mandates insurance coverage for preventive services without cost sharing (O.R. = 1.50) and believe that it is important for health care providers to follow guidelines (O.R. = 1.67). The respondents in this age group, however, were also more likely to believe that the government uses guidelines to ration health care (O.R. = 1.84).

Table 2.

Logistic Regression Results (Odds Ratios and 95% Confidence Intervals) for Selected Survey Items Regarding Clinical Preventive Services and Guidelines, US Adults, 2013

Independent Variables (n) Heard of Clinical Preventive Services Heard of US Preventive Services Task Force Know ACA Mandates Preventive Service Coverage Research Should Be Most Important for Making Guidelines Important for Health Care Providers to Follow Guidelines Insurance Should Not Pay for Services Not Shown to Be Effective Government Uses Guidelines to Ration Health Care
Age
18‐29 1.00 1.00 1.00 1.00 1.00 1.00 1.00
30‐44 0.68 0.63 1.70 1.13 1.11 1.69 1.30
(0.49, 0.96) (0.38, 1.05) (1.25, 2.30) (0.85, 1.51) (0.84, 1.48) (1.22, 2.34) (0.96, 1.74)
45‐59 0.60 0.54 1.61 1.24 1.42 1.77 1.79
(0.41, 0.82) (0.32, 0.90) (1.19, 2.18) (0.93, 1.64) (1.07, 1.88) (1.28, 2.45) (1.33, 2.40)
60+ 0.54 0.66 1.50 1.30 1.67 1.64 1.84
(0.37, 0.77) (0.40, 1.10) (1.09, 2.05) (0.97, 1.74) (1.24, 2.25) (1.17, 2.30) (1.36, 2.49)
Gender
Female 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Male 0.84 1.32 1.26 1.20 1.02 1.20 0.87
(0.66, 1.08) (0.93, 1.89) (1.03, 1.54) (0.99, 1.46) (0.84, 1.24) (0.97, 1.48) (0.71, 1.06)
Education
<High school 1.00 1.00 1.00 1.00 1.00 1.00 1.00
High school 1.26 2.48 1.20 1.12 1.40 1.50 0.74
(0.74, 2.15) (1.16, 5.33) (0.82, 1.76) (0.79, 1.59) (0.99, 1.99) (1.01, 2.26) (0.52, 1.05)
Some college 2.07 1.92 1.41 1.74 1.66 1.62 0.88
(1.21, 3.52) (0.86, 4.28) (0.95, 2.09) (1.21, 2.51) (1.15, 2.39) (1.06, 2.47) (0.61, 1.27)
College+ 2.66 2.15 2.56 1.98 2.14 2.20 1.03
(1.54, 4.58) (0.94, 4.89) (1.71, 3.85) (1.35, 2.91) (0.64, 1.20) (1.42, 3.40) (0.70, 1.39)
Income
Group 1 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Group 2 0.66 1.04 0.94 0.80 0.88 0.73 0.92
(0.43, 1.01) (0.59, 1.47) (0.67, 1.31) (0.59, 1.09) (0.64, 1.20) (0.52, 1.03) (0.67, 1.27)
Group 3 0.88 0.79 0.97 0.83 0.81 0.70 0.94
(0.58,1.35) (0.43, 1.47) (0.69, 1.36) (0.60, 1.14) (0.60, 1.12) (0.49, 0.99) (0.68, 1.30)
Group 4 1.04 1.31 1.24 0.97 1.19 0.69 0.99
(0.68, 1.59) (0.71, 2.41) (0.87, 1.76) (0.69, 1.36) (0.85, 1.67) (0.57, 1.13) (0.70. 1.39)
Race
White 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Black 0.88 1.70 1.50 0.85 1.28 0.79 0.96
(0.57, 1.36) (1.03, 2.82) (1.08, 2.08) (0.62, 1.17) (0.93, 1.75) (0.47, 1.00) (0.69, 1.33)
Other 0.71 1.07 1.33 1.31 1.52 1.06 1.42
(0.43, 1.15) (0.55, 2.10) (0.91, 1.94) (0.89, 1.91) (1.03, 2.25) (0.71, 1.57) (0.98, 2.06)
Hispanic
No 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Yes 1.66 0.69 1.46 1.16 1.32 1.44 1.29
(1.17, 2.35) (0.37, 1.28) (1.08, 1.97) (0.87, 1.55) (0.98, 1.76) (1.06, 1.95) (0.96, 1.73)
Insurance
No 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Yes 1.36 1.11 1.27 1.16 1.40 0.94 0.87
(0.92, 2.01) (0.66, 1.87) (0.94, 1.73) (0.87, 1.54) (1.06, 1.86) (0.69, 1.28) (0.66, 1.17)
Home Internet
No 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Yes 1.38 0.63 0.98 1.54 1.04 0.77 1.11
(0.96, 1.99) (0.40, 0.99) (0.74, 1.28) (1.19, 1.99) (0.80, 1.34) (0.79, 1.38) (0.86, 1.45)

Results in bold significant at p < .05 level.

Education was also associated with several of the knowledge and belief variables (see Table 2). For example, those with at least a college degree were significantly more likely to know that the ACA mandates preventive service coverage (O.R. = 2.56), to believe that research should be the most important factor in making guidelines (O.R. = 1.98), and to believe that insurance should not pay for services not shown to be effective (O.R. = 2.20). Those with home Internet services were less likely have heard of the USPSTF (O.R. = 0.63) and more likely to believe that research should be the most important factor in making guidelines (O.R. = 1.54). Differences in knowledge and attitudes by gender, income, race, ethnicity, and insurance status were minimal and without discernible patterns.

Beliefs About Who Should Participate in Guideline Development

At least 50% of respondents believed that each of the following groups or organizations are involved with making guidelines for clinical preventive services (Table 3): doctors (76.1%), researchers/medical scientists (62.7%), government health agencies (54.4%), and government health experts/leaders (51.8%). At least 50% of respondents reported that they strongly or somewhat trusted each of the following groups/organizations to help make guidelines for clinical preventive services: doctors (84.5%), nurses/nurse practitioners (77.1%), researchers/medical scientists (71.7%), disease advocacy groups (63.3%), government health agencies (60.1%), professional associations (58.0%), and government health experts/leaders (53.8%).

Table 3.

Beliefs and Attitudes Regarding Who Makes Guidelines for Clinical Preventive Services, US Adults, 2013

Type of Organization or Group Percentage Believe Involved in Making Guidelines for Clinical Preventive Services Percentage Strongly or Somewhat Trust to Be Involved in Making Guidelines
(Weighted n) (n = 1,794) (n = 1,794)
Doctors 76.1% 84.5%
Researchers/medical scientists 62.7% 71.7%
Government health agencies 54.4% 60.1%
Government health experts/leaders 51.8% 53.8%
Professional associations (eg, AMA) 43.5% 58.0%
Insurance plans 42.6% 19.1%
Disease advocacy groups 41.5% 63.3%
Nurses/nurse practitioners 35.8% 77.1%
Pharmaceutical companies 26.9% 19.8%
Patient advocates/social workers 20.0% 44.5%
University professors 19.5% 43.7%
Medical schools 15.5% 45.7%
Patients/health care consumers 15.0% 40.9%
Legislators 12.1% 10.7%
Lawyers 8.5% 8.1%
Economists 5.5% 12.4%

Although only 15.0% of respondents believed that patients/health care consumers were involved with making guidelines, 40.9% reported that they would strongly or somewhat trust their involvement. Conversely, whereas 42.6% of respondents believed that insurance plans helped create preventive services guidelines, only 19.1% strongly or somewhat trusted them in this role. There were also low levels of trust for pharmaceutical companies (19.8%), economists (12.4%), legislators (10.7%), and lawyers (8.1%) to be involved in creating guidelines (see Table 3).

When asked about the degree of importance that a number of factors should have in influencing guidelines for clinical preventive services, the respondents indicated strong support for scientific evidence/research and the opinions of medical experts (Table 4). For example, 86.4% of respondents thought it was very important or somewhat important that scientific evidence/research results influence preventive services guidelines. Similarly, 87.7% of respondents thought it was very important or somewhat important that the opinion of medical experts influence preventive services guidelines.

Table 4.

Attitudes Toward Degree of Importance of Factors That Might Influence Guidelines for Clinical Preventive Services, US Adults, 2013 (Weighted n = 1,794)

Factor Very Important (%) Somewhat Important (%) Not Important (%) Don't Know/ Refused (%)
Scientific evidence 64.1 22.3 2.6 11.0
Opinions of medical experts 59.3 28.4 2.1 10.1
Patient characteristics (eg, age, race) 51.1 34.0 4.6 11.4
If costs are worth benefits 37.8 39.1 11.2 10.9
Professional association's recommendations 37.6 43.6 6.3 12.4
Professional standards of care 31.9 43.7 10.5 13.8
Opinions of government health experts 30.7 43.8 14.5 11.0
Costs to patients 27.8 35.7 25.5 11.1
Insurance plan recommendations 15.7 35.5 35.5 13.3
Political motivations 3.5 10.7 71.9 13.8
Opinions of lawyers 2.9 11.5 70.8 14.8

Results of the Vignette Analysis

As just described, the responses to attitudinal survey questions demonstrated a high degree of support for scientific evidence and medical expertise in crafting consumer guidelines for the use of clinical preventive services. The results from the patient vignettes about cancer‐screening tests not currently recommended by the USPSTF provide additional valuable information in understanding patients’ responses to evidence‐based guidelines. The results reveal that very few respondents believed that the vignette patients should simply accept their physician's recommendation to not have the test, which was based on the USPSTF's current guidelines. For the vignette about a 55‐year‐old man requesting a PSA test, the respondents indicated that the man should (1) trust his doctor and not get the test (6.6%); (2) tell his doctor he wants to do further research or reading and decide for himself (11.7%); (3) insist on getting the test (27.6%); and (4) have a discussion and reach a joint decision (48.0%). For the vignette about a 45‐year‐old woman requesting a screening mammogram, the responses were as follows: (1) trust the doctor and not get the test (9.4%); (2) tell the doctor she wants to do further research or reading and decide for herself (13.1%); (3) insist on getting the test (27.8%); and (4) have a discussion and reach a joint decision (43.6%). The small number of remaining respondents for both vignettes either did not respond or stated that they did not know.

The results did not vary by the race (white, black, not identified) of the patient in either vignette. Some sociodemographic and attitudinal factors were associated with the response of recommending that the vignette patient talk with his or her doctor and reach a decision together and the response that the patient trust the doctor and follow the recommendation not to be screened (Table 5). Regression analysis for the PSA vignette revealed that respondent characteristics positively associated with the recommendation that the patient engage in a joint decision were being age 60 years or older, having more than a high school education, and believing that research should be the most important factor in creating guidelines. Respondents who were black and Hispanic were significantly less likely to recommend a joint decision in this vignette. The respondent characteristics positively associated with the response that the patient trust his doctor and not get the PSA test were being male, agreeing that insurance plans should not cover services without research showing effectiveness, and trusting in a government task force creating evidence‐based guidelines. Those with some college or more were significantly less likely to believe that the vignette patient should accept the provider's recommendation to not get a PSA test.

Table 5.

Logistic Regression Results (Odds Ratios and 95% Confidence Intervals) for Responses to Patient Vignettes About Physicians’ Recommendation Against Cancer Screening

Independent Variables (Models Also Controlled for Income and Health Insurance Status) PSA Vignette (Engage in Joint Decision) PSA Vignette (Trust Recommendation Against Test) Mammography Vignette (Engage in Joint Decision) Mammography Vignette (Trust Recommendation Against Test)
Age
18‐29 1.00 1.00 1.00 1.00
30‐44 0.84 (0.63, 1.13) 1.17 (0.68, 2.02) 1.47 (1.09, 1.98) 1.22 (0.76, 1.98)
45‐59 1.38 (1.04, 1.84) 0.79 (0.49, 1.40) 2.28 (1.70, 3.05) 0.99 (0.61, 1.62)
60+ 1.53 (1.13, 2.07) 0.57 (0.30, 1.08) 3.01 (2.23, 4.06) 0.88 (0.53, 1.55)
Gender
Female 1.00 1.00 1.00 1.00
Male 0.80 (0.66, 1.08) 2.84 (1.40, 5.05) 0.83 (0.61, 1.29) 1.30 (0.94, 1.80)
Education
<High school 1.00 1.00 1.00 1.00
High school 1.50 (1.05, 2.16) 0.65 (0.37, 1.13) 1.17 (1.19, 2.52) 0.91 (0.54, 1.54)
Some college 1.97 (1.36, 2.87) 0.40 (0.21, 0.76) 1.73 (1.19, 2.52) 0.52 (0.29, 0.93)
College+ 2.36 (1.61, 3.46) 0.29 (0.15, 0.56) 2.01 (1.37, 2.95) 0.66 (0.37, 1.18)
Race
White 1.00 1.00 1.00 1.00
Black 0.55 (0.40, 0.76) 1.21 (0.73, 2.13) 0.64 (0.46, 0.88) 0.95 (0.56, 1.61)
Other 0.82 (0.57, 1.20) 2.65 (1.40, 5.05) 0.88 (0.61, 1.29) 1.47 (0.84, 2.55)
Hispanic
No 1.00 1.00 1.00 1.00
Yes 0.62 (0.50, 0.84) 1.25 (0.73, 2.13) 0.69 (0.51, 0.94) 0.75 (0.45, 1.25)
Home Internet
No 1.00 1.00 1.00 1.00
Yes 0.95 (0.74, 1.22) 0.74 (0.47, 1.18) 1.43 (1.12, 1.84) 0.77 (0.53, 1.14)
Attitudinal variables—agreement
Research most important factor in creating guidelines 1.31 (1.04, 1.64) 0.73 (0.45, 1.18) 1.34 (1.07, 1.69) 1.00 (0.68, 1.48)
Providers should follow guidelines 1.20 (0.95, 1.52) 0.91 (0.55, 1.48) 1.09 (0.87, 1.37) 1.08 (0.73, 1.61)
Insurance plans should not pay for services not shown effective 0.90 (0.71, 1.13) 1.95 (1.25, 3.04) 0.81 (0.54, 1.02) 1.95 (1.36, 2.80)
Government uses guidelines to ration health care 1.09 (0.88, 1.35 1.03 (0.66, 1.60) 0.99 (0.80, 1.23) 1.01 (0.71, 1.43)
I trust a government task force will make good and fair guidelines 1.10 (0.87, 1.38) 1.65 (1.03, 2.59) 1.23 (0.98, 1.55) 1.12 (0.77, 1.64)

Results in bold significant at p < .05 level.

In regard to the mammography vignette, regression analysis revealed that respondent characteristics positively associated with the response that the patient and doctor engage in a joint decision were being age 30 years or older, having more than a high school education, having home Internet access, and believing that research should be the most important factor in creating guidelines (see Table 5). Respondents who were black or Hispanic were significantly less likely to recommend a joint decision. The respondent characteristics significantly associated with the recommendation that the vignette patient trust her doctor and not get the mammogram included believing that insurance plans should not cover services without research showing effectiveness.

Discussion

The movements toward both evidence‐based medicine and patient engagement in health care are growing.1, 13, 15 Informed health care consumers are also an important foundation of many components of the ACA, including coverage mandates for evidence‐based clinical preventive services.2 Accordingly, it is important that patients understand what “evidence‐based” means, how research is used to create guidelines, and how to interpret guidelines developed for populations in personal health care options and decisions. This is especially important in health care situations in which patients have legitimate options, including whether or not to receive a clinical preventive service.1

Although there are multiple and often discordant sets of guidelines for clinical preventive services, our research focused on the USPSTF's guidelines because they are produced through a putatively objective, evidence‐based process and because of their current role in health insurance benefit design through the ACA. Our national population–based survey results reveal that knowledge of clinical preventive services, their guidelines, and the USPSTF is very low in the general population, across gender, age, socioeconomic, race, and ethnic groups. Our results also suggest that US adults generally endorse the notion that research evidence and expert medical opinion are important for the creation of guidelines and that clinicians should follow guidelines based on evidence.30 Only one‐third of adults, however, trust that a government‐sponsored task force that focuses on scientific evidence would make sound and fair recommendations for preventive services.

Given the demonstrated low levels of knowledge coupled with a strong preference for involvement in preventive care decisions, better consumer education on evidence‐based guidelines for preventive services and better decision‐making support are greatly needed. Our results suggest that appeals to medical experts and scientific evidence resonate with a significant portion of the US adult population. Theoretical and empirical concerns about information overload and management of uncertainty often lead to public communication about science that has removed the uncertainty, but at the cost of oversimplification.3, 11, 13 In an analysis of the USPSTF's 2009 recommendation against mammography screening under age 50, Jensen and colleagues concluded that removing any uncertainty about the underlying scientific evidence from early communications actually fueled conflict, confusion, and backlash “at the expense of long‐term consistency and trust in science.”31 Improving public knowledge and correcting factual misperceptions about political issues and policies—including health policies—is very difficult from a communications perspective.32, 33

Earlier research clearly established that patients’ use of clinical preventive services is influenced by individual patient factors, provider factors, and exposure to external information and communication.34 One of the strongest predictors of the use of all preventive services is having a recommendation from a provider.34, 35 Our national survey results revealed that when presented with vignettes about actual patients being told that current recommendations do not support a requested screening test, fewer than 1 out of 10 adults believed that this recommendation alone was sufficient for a patient to make a decision. Instead, the respondents endorsed more discussion and/or the opportunity for patients to gather their own information before making a decision.

Effective discussions between the patients and providers and shared decision making could increase patients’ acceptance of guidelines both for and against clinical preventive services.36 Patients are increasingly demanding a more active role in making their own health care decisions at the same time they are being bombarded with competing information and messages that are challenging to interpret and act upon.37 A systematic review of the published research concluded that physicians generally do have positive attitudes toward shared decision making but also that additional empirical evidence is needed that shared decisions will bring positive outcomes for both patients and providers in order to increase physician support.38 An analysis of the association between patients’ ratings of their providers’ communication skills and the receipt of 6 clinical preventive services found that in multivariable analysis, only mammography screening was positively associated.39 This suggests that the content of the communication, rather than simply a positive attitude toward the provider's communication skills, is important to patients’ behavioral outcomes.

Even though it may be challenging, the effective “framing” of messages in health communications can have a positive impact on knowledge and behavior change.40, 41, 42 Recent framing research also suggests that in health promotion and disease prevention communications, health messages framed as a “gain” or “benefit” may be more effective in changing the behavior recommended in the message.43, 44 The “Choosing Wisely” campaign, in partnership with Consumer Reports, is based on the premise that when telling consumers that “more is not better,” the messages need to come from trusted sources, be communicated in plain language, and use both individual and mass media communication strategies.5 Additional research that tests different message frames about the USPSTF and its recommendations are needed to design effective communication tools that make use of the attitudes and beliefs currently prevalent in the population.3, 15, 21, 30, 36, 42

Several tools and decision aids for clinical and community preventive services have been developed.45 For example, Nundy and colleagues have created a web‐based tool that helps communicate prevention guidelines to community members.46 Krist, Woolf, and colleagues have designed an interactive preventive health record.47 Additional research is needed to improve both mass media campaigns and clinician‐patient communication regarding the use of evidence‐based guidelines in making informed choices about whether or not to receive a clinical preventive service.

Our research was limited because we have no information on the relationship between the knowledge/attitudinal variables explored and the actual behaviors regarding clinical preventive services. But a strength of our work is that the sample was nationally representative and large enough to explore sociodemographic differences in knowledge and attitudes. That the results did not show strong patterning by sociodemographic characteristics reflects the fact that much of the US adult population has little knowledge of, and negatives attitudes toward, clinical preventive services, their guidelines, and the USPSTF.

Both the underuse and the overuse of clinical preventive services relative to the USPSTF's recommendations are a serious public health problem. For example, during the 2012/2013 influenza season, only 41.5% of US adults received a vaccination, and the use of mammography by women aged 40 to 49 has continued to rise even after the USPSTF withdrew its recommendation for screening in that age group in 2009.48, 49 The results of this population‐based survey, therefore, should be used in the further development and framing of effective communication messages, tools, and decision aids to promote the optimal use of clinical preventive services.

Funding/Support: This research was funded through a pilot award from the Patient‐Centered Outcomes Research Institute (PCORI).

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Lisa Stewart reports work as a paid consultant at Children's National Medical Center on 3 separate research projects funded by the National Institutes of Health, the Agency for Healthcare Research and Quality, and PCORI, as well as membership on the advisory board of the DC‐Baltimore Research Center on Child Health Disparities.

Acknowledgments: The research was reviewed and approved by the Institutional Review Board of the George Washington University. The authors wish to thank the members of the project Advisory Board for their constructive feedback and contributions to the survey design.

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