Analysis of Case
Studies' Contribution to Improving the Quality of Health
Risk Communication
Analysis of the 10 case studies
reveals the varying perspectives of PHS agencies on the
content, implementation, and expected outcomes of health
communications strategies. A combination of quantitative
and qualitative analytic techniques was used by the
Subcommittee in comparing PHS health risk communication
practices against a model standard of risk communication
developed by EPA. Frequency counts of EPA's Cardinal Rule
critical elements (Appendix 1)
were tabulated on both a cross-case and individual-case
basis. Second-order numbers, such as means and percentage
distributions, were calculated to examine the tabulations
and their relationships further. Results of that analysis
are shown in Tables 2 through 4.
Findings from Table
2 show a range of variation
as well as some consistency in how effectively PHS
agencies planned, implemented, and evaluated health
communication strategies. Some of the lower percentage
values (i.e., 14 percent and 23 percent) attributed to a couple of the
case studies were due in part to a lack of sufficient
information. Without the necessary information, the
Subcommittee was unable to make precise judgments or
statements about health risk communication effectiveness.
With those few exceptions, enough information and data
were available to show that most PHS agencies recognized
the importance of and need for a systematic approach to
health risk communications.
Two case studies in particular serve as prime examples of
how agencies benefit when health communication is well
planned and well executed. In an effort to inform the
public about the risks and benefits of fluoride, EHPC
identified several key factors that contributed to the
overall success of its health communication campaign.
These include (1) having a sense of timing, or knowing
when to release information to achieve maximum public
impact; (2) emphasizing the importance of message
clarity, balance, and accuracy when designing and sending
health communication messages; and (3) having the
commitment of the organization's decision-makers and
management, which can enhance the effectiveness of the
health risk communication effort.
Another clear example of how health risk communication
methods can work came from FDA. With a few effective
principles, FDA was able to reach its intended audience
with the message about the dangers of defective heart
valves. Contributing to FDA's health communication
success were the use of focus groups, enrollment
incentives to join a heart valve registry, careful
message design and clarification, and solicitation of
health professionals' responses to notification messages.
Table 4 takes the analysis of results in Table 3 one step further, to look more specifically
at the Cardinal Rules that figured prominently in health
communication activities of PHS agencies. On the basis of
percentage distributions, the Subcommittee was able to
group the Cardinal Rules for each case into the three
broad categories of "highly effective,"
"moderately effective," and "least
effective." A frequency count of the Cardinal Rule
critical elements provides a revealing set of general
characteristics associated with health risk communication
effectiveness. An analysis of the data in Table 4 reveals that in the "highly
effective" category, Cardinal Rules 1 (Accept and
involve the public as a legitimate partner) and 5 (Coordinate
and collaborate with other credible sources) seem to
be common to most PHS agencies.
In the "moderately effective" category, Rule 6
(Meet the needs of the media) is found most
frequently. In the final category of "least
effective," Rule 2 (Plan carefully and evaluate
efforts) occurs most often.
A qualitative analysis of the case studies reveals
varying beliefs among PHS agencies about what the
content, process, and outcomes of a health risk
communication should be. To simplify the analysis, the
Subcommittee grouped the EPA Cardinal Rule critical
elements into the broadly recognized communication
categories shown previously in Table 1:
communication content, communication process, and
evaluation of communication outcomes and impacts. Using
this schema, the Subcommittee was able to identify some
perceived strengths and weaknesses of PHS health risk
communication practices.
Communication content, the first component, refers
to the value of the information or message as perceived
by the receiver. The amount of emphasis given to content
varied substantially among the agencies. FDA, for
example, expended a great amount of effort in content
analysis and the pretesting of messages. Some agencies,
on the other hand, chose to create messages with little
audience input. Gaps in the content component of health
communication campaigns were fairly evenly distributed
across the agencies and present some relevant questions:
- Did content facilitate the
achievement of communication objectives? If not,
why?
- Was message and information
content relevant to the targeted behavior (i.e.,
attitude and behavior change)?
- Did the audience understand
the information; was it relevant and useful?
Communication process is the
second and most labor-intensive of the components. During
this stage, the rationale for choosing specific health
risk communication strategies and techniques is proven
either effective or ineffective. Most of the agencies
that submitted case studies are currently involved in
health risk communication activities to some extent. Yet,
few of the agencies could clearly explain the rationale
and content of their health risk communication goals and
strategies. Several factors contributed to this
condition. First is an inadequate recognition that
audiences differ greatly in value systems and levels of
involvement in the health risk communication process. FDA
provided one exception to this trend by conducting focus
tests with their audiences to identify relevant needs and
expectations. Second, systematic methods for defining
health risk communication needs and responsibilities were
unspecified. Third, discussion about the role of health
risk communications as a function of agency mission,
goals, and objectives is too limited. Finally, barriers
to the effectiveness of health risk communications may be
internal, such as constraints of staff, resources, and
budget, or external, such as the activities of interest
groups or the limits set by policy or mandate.
Having to explain health risk and uncertainty were common
experiences shared by most of the agencies. Yet the
specific procedures that were used in the various risk
events differed according to the type of health risk
issue, the scope of the problem, and levels of public
concern. CDC, in its Hanford Environmental Dose
Reconstruction Project, provides a excellent example of
how, when properly implemented, the process can achieve
the desired outcomes. CDC very effectively organized its
health risk communication campaign around the simple
principle of using multiple media strategies to build
community trust and support.
The last component, outcome and impact evaluation,
is an ongoing and systematic procedure for assessing the
efficacy of health risk communication strategies in
achieving intended outcomes. Evaluation, among the
agencies, was the least understood of the communications
components. Collecting process and anecdotal information
was the preferred method of evaluation. However, to
properly judge the effect of a health risk communication
activity, measurable objectives must be designed in the
planning stage and tracked until the completion of the
activity.
One of the evaluation successes involved NIMH and its
study of reducing sexual risk behaviors among runaways.
Basic evaluation rules were put in place before, during,
and after the intervention program. Both qualitative and
quantitative evaluation measures were used. With these
measures, NIMH was able to assess audience perceptions,
track the achievement of communication objectives, and
improve the quality of services provided to runaways.
| Case
Study |
Total
Number of
Critical Elements |
Number
of Critical
Elements Performed |
Percentage
|
| Case Study 1 |
43 |
10 |
23% |
| Case Study 2 |
43 |
6 |
14% |
| Case Study 3 |
43 |
27 |
63% |
| Case Study 4 |
43 |
33 |
77% |
| Case Study 5 |
43 |
23 |
53% |
| Case Study 6 |
43 |
30 |
70% |
| Case Study 7 |
43 |
34 |
79% |
| Case Study 8 |
43 |
14 |
33% |
| Case Study 9 |
43 |
27 |
63% |
| Case Study 10 |
43 |
21 |
49% |
| EPA
Cardinal Rules |
Critical
Elements |
Mean
|
Percentage
|
| Cardinal Rule 1 |
2 |
1.8 |
90% |
| Cardinal Rule 2 |
8 |
5.4 |
68% |
| Cardinal Rule 3 |
4 |
2.3 |
58% |
| Cardinal Rule 4 |
10 |
7.1 |
71% |
| Cardinal Rule 5 |
5 |
3.1 |
62% |
| Cardinal Rule 6 |
5 |
2.8 |
56% |
| Cardinal Rule 7 |
9 |
5.0 |
56% |
| Case
Study |
Highly
Effective |
Moderately
Effective |
Least
Effective |
| Case Study 1 |
Cardinal Rule 5 |
2,6 |
-- |
| Case Study 2 |
5 |
6 |
2 |
| Case Study 3 |
1 |
3,5,6 |
2,4,7 |
| Case Study 4 |
1,3,4,5,6 |
7 |
2 |
| Case Study 5 |
1 |
2,3,5,7 |
4 |
| Case Study 6 |
1,2,4,5 |
3,7 |
-- |
| Case Study 7 |
1,3,5,6 |
2,4,7 |
-- |
| Case Study 8 |
5 |
4,6 |
2,7 |
| Case Study 9 |
1,3,4 |
5,6,7 |
2 |
|