FLETCHER
ET AL., 33RD BETHESDA CONFERENCE: Preventive Cardiology: How Can
We Do Better?
J Am Coll Cardiol 2002;40:4:579-651
BETHESDA
CONFERENCE REPORT
33rd Bethesda Conference: Preventive Cardiology: How Can We Do Better?
Ira
S. Ockene, MD, FACC, Co-Chair, Laura L. Hayman, PHD, RN,
FAAN, Co-Chair, Richard C. Pasternak, MD, FACC, Eleanor Schron,
MS, RN, FAAN, Jacqueline Dunbar-Jacob, PHD, RN, FAAN
Task
Force #4Adherence Issues and
Behavior Changes: Achieving a Long-Term Solution
Introduction: The Challenge of Adherence
Adherence (equivalent to compliance) to lifestyle and medication
recommendations for the prevention of cardiovascular disease (CVD)
is a crucial element in the path from the science of risk-factor
modification to the actual reduction of risk factors and consequent
prevention of disease-related events. Lack of adherence to therapeutic
regimens has been documented for decades, particularly for preventive
interventions requiring changes in behavior such as smoking cessation,
change in eating patterns, physical activity, and adherence to pharmacologic
therapy (1,2). Pharmacologic industry data (IMS Health; NDC Health
Information Services) document that by the end of one year, adherence
to preventive pharmacologic therapy has dropped to less than 50%
across several broad classes of drugs, including hydroxy-methyl-glutaryl-coenzyme-A
(HMG-CoA) reductase inhibitors and angiotensin-converting enzyme
inhibitors. Although non-adherence may consist of dropping therapy
altogether, there is also, a significant problem with individuals
who remain in treatment but fail to follow the treatment regimen
in sufficient quantity or appropriate intervals to derive the optimal
benefit. The patterns of poor adherence observed among patients
remaining in treatment but adhering poorly (approximately 50% of
patients on treatment) include variability in dosing, dosage interval
errors, reductions in dosage, and excess doses.
Numerous
studies have identified factors associated with poor adherence.
With few exceptions (e.g., the conscientiousness scale from the
NEO-Five Factor Inventory) (3), personality traits have not been
found to consistently predict adherence, nor have socio-demographic
factors such as gender, ethnicity, socioeconomic status or education
(4). Negative aspects of the therapeutic regimen
itself are the factors most frequently associated with poor adherence.
These include a long duration of therapy, complexity of the regimen,
therapy of asymptomatic conditions, and a lack of immediate or perceived
benefits, especially when the cost (either in dollars or in disruption
of normal family, social, and cultural patterns) is high (5). These
aspects characterize many preventive interventions, where lifelong
therapy for an asymptomatic condition may be associated with high
cost, side effects (in the case of medication), and a lack of understanding
of the benefits provided by the behavior change or therapy. Although
motivation may be high in secondary prevention, the situation is
likely to be even more difficult because behavior change and pharmacologic
therapy for risk factors must be added to a regimen that may already
be complex and burdensome.
Effective
therapies are now available for the treatment of hyperlipidemia.
A series of studies have documented a one-third reduction in coronary
mortality within 5 years when patients with coronary heart disease
(CHD) are treated with HMG-CoA reductase inhibitors (statins); and
a favorable effect is seen as early as one year after the initiation
of therapy (6-8). Despite such data, a number of studies have demonstrated
failure to bring the majority of patients with CHD to their low-density
lipoproteincholesterol (LDL-C) target, with the data suggesting
that such failure is related not only to a lack of patient adherence
to prescribed therapy but also to the failure to have appropriate
therapy prescribed in the first place (9-13). In a recent study
of 825 men and women with CHD followed up at 16 academic medical
centers, at the end of a three-year period of follow-up, 55% of
the men but only 35% of the women were receiving pharmacologic lipid-lowering
therapy. The target LDL-C goal of less than 100 mg/dl was achieved
in only 31% of the men and only 12% of the women. Consistent with
results of other studies, the authors suggest that there may be
a gender bias in the use of such therapy (14).
Taken
together and viewed in the context of available clinical trial data,
this information indicates the need for more effective approaches
to adherence, with emphasis on patients, providers, systems of health
care delivery, and relevant societal factors. Toward that goal,
this Task Force Report presents an overview of the evidence supporting
multilevel strategies for improving the adherence to lifestyle and
pharmacologic interventions. Building on available adherence data
and consistent with the theme of this Bethesda Conference, suggestions
for advancing CVD prevention on both an individual and population
level are also offered.
Adherence:
A Problem That Must Be Addressed on Multiple Levels
Adherence is commonly seen as a patient problem. The physician (MD)
or nurse practitioner (NP) prescribes a regimen, and it is the patient's
role to follow that regimen. In 1997, a multidisciplinary task force
of the American Heart Association (AHA) addressed the problem of
adherence in a special report, "The Multilevel Compliance Challenge"
(15). This document details the reality that adherence must be addressed
on several levels, including the patient, the provider, and the
health care system. Patients need the knowledge, attitude, and skills
to follow an appropriately prescribed regimen (16), and similarly,
providers need the knowledge, attitude, and skills to: follow established
guidelines in prescribing that regimen; ensure that patients understand
the reason for the prescribed drugs, the possible side effects,
the interactions with other agents, and the manner in which the
drug is to be taken; and ensure that the recommended regimen is
not unnecessarily complex and is therefore possible to follow. When
caregivers do not follow guidelines, it is often thought that they
need education or training and that the provision of such training
alone will suffice. This is, however, generally not sufficient (17).
Finally, the system or organization within which providers work
needs to provide resources and set policies that support optimal
practices, particularly preventionoriented activities (15). These
resources can include other health care professionals as part of
the treatment team to augment the role of primary providers and
to provide more intensive intervention where needed. There is substantial
evidence that the involvement of other health care professionals
to support treatment plans improves the effectiveness of interventions
and increases the prevalence of patient behavior change or adherence
(18). Such resources can augment the very limited amount of time
available to busy practitioners. Furthermore, policies within organizations
can mandate provision of the following: time for educating MD/NPs
about guidelines; training in treatment strategies such as patient-centered
counseling; dissemination of guidelines and of appropriate tools
that assist in the implementation of guidelines; and office support
mechanisms (prompts, algorithms, and the setting up of systems to
screen and follow up patients for specific problems such as elevated
lipids) (19).
The
patient: factors that affect adherence. The patients must assume
the ultimate responsibility for making behavioral changes, and whether
or not a patient adheres to a prescribed regimen is a complex issue.
It is affected by knowledge, attitudes, skills, and the environment,
the health care provider's practices, and the health care system
(15). Research
on patient factors that affect adherence has been inconclusive.
As described previously, the relationship of gender, socioeconomic
status, and marital status to adherence is weak and inconsistent
(3). However, some relationships have
emerged. Organic factors such as the memory impairment often experienced
by CHD patients (20), as well as the
somatic side effects of medications (21-24),
can reduce adherence. Cognitive variables, specifically attitudes
toward medication intake (24,25)
and self-efficacy (the extent to which an individual believes he
or she is able to change a behavior) (4,26-28)
have been associated with adherence to a variety of health behaviors.
However, most studies have been retrospective, and it is unclear
whether these beliefs or expectations predict, or are the result,
of adherence. With regard to affective states, mixed findings have
been reported for the influence of negative affect (e.g., depression,
anxiety) on adherence to health behaviors. Some reports suggest
that depression and anxiety have a detrimental influence on adherence
(29-32), whereas others have failed
to find such an influence (33-35).
Hostility and conscientiousness, however, two rather stable personality
characteristics, have been shown in several studies to be associated
with adherence. Hostile hypertensive patients reported skipping
more doses of medication than individuals with lower hostility scores
(31). Likewise, "conscientiousness"
(defined as an individual's determination, persistency, and ability
to do what is necessary) has been reported to correlate with adherence
(3,36,37).
The
concept of "reasoned decision making" is also relevant.
It is thought that patients have no reasonable option but to comply
with the advice and instructions they receive. Donovan and Blake
(38) point out that this concept of adherence may be irrelevant
for patients who carry out a personal cost-benefit analysis, weighing
the costs and risks of each treatment against the benefits as they
perceive them. Patient perceptions and the personal and social circumstances
within which they live are shown to be crucial to their decision-making.
Thus, an apparently irrational act of non-adherence (from a physician's
point of view) may be a very rational action when seen from a patient's
point of view. This reasoning leads the authors to encourage the
development of more open, cooperative physician-patient relationships
(38). In a related discussion, Redelmeier et al. (39) describe patient
strategies in which intuitive thought processes and feelings may
lead individuals to make choices that are not ultimately in their
best interests. Such strategies help to explain situations in which
risk perceptions conflict with standard scientific analyses. The
authors suggest that an awareness of how people reason is an important
clinical skill.
Many
patients are unaware of the extent of their deviation from therapeutic
prescriptions. This is reflected in discrepancies between patient's
self-reporting of their treatment behaviors and monitored reports
of those same behaviors (40). For these patients, it may be necessary
to first raise their awareness of their behaviors. Alternatively,
it may be necessary for providers to present greater detail and
specificity in instructions. Another important factor is the prevalence
of multiple co-morbidities, leading to treatment regimens that are
particularly complex. Among the older population, the occurrence
of co-morbid conditions is high (41). Indeed, the risk of poor adherence
is higher among persons with three or more co-morbid conditions
(42). A common example is a patient with type II diabetes, hypertension,
and hyperlipidemia.
Patients
need knowledge and skills such as problemsolving, self-monitoring,
developing self-prompting and reminder systems, setting appropriate
and realistic goals, rewarding new behaviors, and identifying lapses
(43-46). As discussed subsequently
(and presented in Table 1), health
care providers can help patients identify the strategies and skills
needed and assist patients in building these skills.
The
provider's role in adherence. There is substantial evidence
that brief provider interventions can have a significant positive
effect on patients' adherence to a plan and maintenance of changes
in health behaviors such as smoking, diet, and alcohol use (18,47,48).
A physician or nurse can also assist a patient to identify strategies
that enhance adherence to a prescribed regimen. However, caregivers
are often too busy to follow up patients optimally. In this context,
a reminder system and a team approach can provide assistance. The
collective efforts of the multidisciplinary team also provide the
kind of social support (49) that plays an important role in influencing
adherence behaviors (50,51) and patient satisfaction with care,
a significant predictor of adherence to prescribed regimens (52).
The
systems-based factors that affect adherence. The system within
which health care providers work, by either providing or not providing
a supportive environment that facilitates providers' adherence-related
activities, can markedly alter the likelihood that physicians or
nurses will perform the necessary activities (e.g., prescribing
appropriate medication and providing patient-centered counseling
on the use of medication or lifestyle change) (53). Likewise, systems
can help facilitate adherence by providing support from other health
care professionals (e.g., pharmacist support) and other resources
(e.g., databases, tracking systems, algorithms, prompts, and handouts)
(47,54). Approaches to the problem of adherence that are restricted
to the patient level or the provider level alone are not likely
to yield as successful an outcome as those that also engage the
entire framework within which the provider-patient interaction takes
place (15). As pointed out by Koeck (55), "if care is to be
of higher quality and lower cost, the key to improvement lies in
better organizational structures and processes." A final system-based
factor is cost itself. This is particularly true for the cost of
medications and for refill policies. Lack of coverage, high co-payments,
and frequent refill requirements are all powerful adherence disincentives.
Counseling
and Theoretical Models
Several conceptual theories and models of health behavior change
and intervention underlie approaches to adherence. These models
were developed to explain various aspects of human behavior and
have been shown to be predictive of response to behavioral interventions.
They include the Stages of Change Model (56), the Health Belief
Model (57), Social Cognitive Theory (58,59), the Relapse Prevention
Model (60,61), and Social-Ecological Models (62,63), each of which
is briefly described below.
Over
the last decade, the Transtheoretical Stages of
Change Model has been applied in research and practice initiatives
focused on individual-level behavior change in adults, adolescents,
and children (56,64-66). Stages-of change theory reflects the stages
of any behavioral intervention process: pre-contemplation (individual
is not thinking about changing the targeted behavior); contemplation
(individual is considering but is not yet ready to engage in behavior
change); preparation (individual intends to take action in the next
month); action (individual begins the actual process of behavior
change); and maintenance (individual develops and implements strategies
to prevent relapse). This model has also been applied in conjunction
with other theoretical approaches, including the social cognitive
theoretical model (SCT) and its components (67,68). Clinicians are
taught that because change occurs over several stages, that by correctly
targeting their intervention assistance, they can move the pre-contemplator
to contemplation and the contemplator to action. Thus, patients
in the action stage respond well to forceful encouragement and support,
whereas a patient in the pre-contemplator stage is likely to be
antagonized by an overly forceful approachin such individuals
the provision of information and a low-key approach is more likely
to be fruitful. It is helpful to remind health care professionals
and patients of this process so that neither becomes discouraged
or alienated from the other.
The
SCT model has been applied in both individual and population-based
behavior change strategies focused on primary and secondary prevention
of CVD across the life span (69-72). It emphasizes interpersonal,
cognitive, and environmental influences on behavior and incorporates
methods of behavior modification. The basic components of SCT as
applied to CVD-related behavior change strategies (on an individual
level) include self-monitoring and analysis of behavior, self-management
(including stimulus control of external cues), behavioral skill
training, replacement of health-compromising behaviors with health-promoting
behaviors, and reinforcement of newly acquired desirable behaviors.
Self-efficacy, the individual's confidence in performing a particular
behavior, is an important SCT-related construct that has been associated
with motivation to engage in health-promoting behaviors in adolescents
and adults (59). The utility and effectiveness of SCT-derived strategies
has been supported in a recent comprehensive review of the empirical
literature focused on adherence across four regimens of cardiovascular
(CV) risk reduction, including pharmacological therapy, exercise,
nutrition, and smoking cessation (73). Specifically, SCT-derived
(and other theoretically-based) strategies demonstrated to be successful
in improving adherence to CVD-prevention regimens include: signed
agreements (written contracts between patient and physician-provider);
behavioral skill training (formal and informal teaching-learning
sessions focused on patient acquisition of specific skills necessary
to change behaviors); self-monitoring (maintaining a written record/log
of baseline levels and changes over time in behavior[s] targeted
for change); self-efficacy enhancement (strategies designed to increase
patient confidence in the ability to engage in a particular behavior,
such as counseling small steps that enhance self-efficacy); spouse
and/or social support (inclusion of patient's spouse or significant
other in the plan for behavior change using principles of direct
modeling of health behaviors [e.g., smoking cessation] and reinforcement);
telephone/mail contact and external cognitive aids (follow-up reminder
letters of scheduled or missed appointments and medication refills).
As
emphasized by Burke et al. (73) in the above-cited review, even
in well-controlled and monitored clinical trials that incorporated
theoretically-derived strategies, adherence is less than optimal
and there are significant discrepancies between adherence rates
reported in clinical-trial and clinical-practice settings. Although
the efficacy of CVD risk reduction programs is well established
by clinical trials, the extent to which primary and secondary prevention
is effective in practice depends largely on adherence. Furthermore,
approximately 50% of individuals discontinue participation in secondary
prevention programs (cardiac rehabilitation) within the first year;
thus, a critical time-period for targeting adherence-promoting strategies
is early in the course of treatment. While promotion of long-term
adherence is a multilevel, multi-systems challenge, on the individual
patient level, the sustained application of SCT and other related
strategies by physicians and other health care providers is associated
with improved adherence rates and treatment outcomes.
On
a population level, components of SCT have been successfully applied
to community and school-based CV health promotion focused on tobacco
use, nutrition, and physical activity behaviors. The multi-center
Child and Adolescent Trial for Cardiovascular Health (CATCH) emphasized
the environmental components of SCT as they relate to interventions
focused on changing the school health and physical education curricula,
school food service, policies for school tobacco use, and structured
activities for families of CATCH students. The versatility and shortterm
effectiveness of SCT-derived school-based environmental interventions
was demonstrated.
All
of these models can be incorporated in a patient centered counseling
approach, a style of engaging patients that has been shown to be
efficacious when used to assist patients in developing and adhering
to treatment plans for risk-behavior change (e.g., smoking, high-fat
diet, and high-risk alcohol use) (47,48,54). This approach uses
telephone counselors to help treat patients for smoking (74,75)
and nutritionists to help patients make dietary change. Patient-centered
counseling also responds to recommendations emphasizing the need
for providers to use open-ended questions to engage patients in
decision making (38,39). It encourages health care professionals
to ask patients about their perception of risk and to help them
weigh costs and benefits of change or of adherence to a regimen.
Patient centered counseling is also designed to be time-efficient.
This model uses questions related to five content areas: 1) desire
and motivation to change behavior; 2) past experiences with the
behavioral change; 3) factors that inhibit the change (barriers/impediments);
4) resources for change (strengths); and 5) the plan for change
and follow-up. It emphasizes the use of past experiences of change
to help patients develop motivation and positive self-efficacy.
As in the Health Belief Model, patient-centered counseling addresses
an individual's beliefs regarding the perceived risk associated
with certain behaviors, his or her vulnerability to worsening disease,
and the taking of action to change behavior in order to decrease
the risk.
Principles
of the Relapse Prevention Model (60,61) are also important in counseling.
They include stressing the need to recognize cues and characteristics
of high-risk situations (assessment skills) and to develop specific
skills (e.g., communication, initiation of support, stress management)
to mobilize a coping response to promote behavioral change.
Intervention
at the level of the health care system, no matter how well delivered,
does not account for the influence of the larger society within
which we all live. Maintaining healthy behaviors over time (e.g.,
during the transition from the school-age years to adolescence and
into adulthood, or over many years of disease-free life) requires
system changes that go beyond the family and school level. Social-ecological
models that address multilevel system changes have recently been
advocated to address this goal (62,63,76,77).
Ecological
frameworks recognize that behavior is affected by several levels
of influence including: intra-personal factors (e.g., motivation,
skills, knowledge); interpersonal processes (e.g., social support,
social network, social norms); institutional or organizational factors
(e.g., school and/or workplace policies); community factors (e.g.,
social capital and neighborhood effects); and public policy (e.g.,
regulatory laws and tobacco taxes). By definition and design, ecological
models suggest that interventions must be directed at all of these
factors. Central to each of the ecological frameworks that have
recently emerged across disciplines is the importance of social
context. In relation to adherence and CVD-prevention strategies,
ecological models strongly suggest that interventions be focused
beyond the individual patient, provider, and respective system of
health care. A systematic integration of social, governmental, and
policy-level factors into behavior-change interventions within communities
is suggested as one ecologically-derived approach. Thus, for example,
increasing physical activity in urban areas requires at least safe
streets and adequate parks, recreation areas and lighting. Ultimately
improving health may require societal interventions such as the
redesigning of streets and elimination of drive-up windowschanges
not amenable to patient, physician, or medical-system intervention.
Even beyond this, there are powerful societal trends whose reversal
seems difficult to envision. An example of such trends is described
by Philipson and Posner (78), who note that over a period of many
decades in the U.S., food, which used to consume a large part of
a family's budget, has become very cheap (a few dollars will buy
a day's worth of high-fat calories at a fast food restaurant), whereas
physical activity, once something most adults were paid to do (because
most jobs were physically demanding) has become quite expensive,
either literally as dollars spent or as time, an equally valuable
commodity for many people.
Optimally,
approaches in individual-level behavior change should be integrated
within population-based approaches that take into account the ecologic
framework within which the intervention is planned to occur and
should be linked across delivery channels. Thus, CVD prevention
programs offered through an individual's employee benefits programs
could be promoted through interventions at the workplace. These,
in turn, could be linked to local and statewide preventive efforts
through departments of health. By design, these initiatives in prevention
would require policy changes on a number of levels, including the
workplace. Early in 2001, the White House issued an executive memorandum
directing agencies to review, revise, and establish policies as
necessary to maximize federal employees' participation in agency-sponsored
preventive health activities. The directive included the formulation
of a policy providing for excused absences each year for participation
in preventive health screenings.
General
Strategies for Increasing Adherence
Strategies for increasing adherence with prevention and treatment
recommendations have been studied over the past twenty-five years.
As discussed before, recent literature supports a multilevel approach,
including an emphasis on patients, providers, and systems and health
care organizations (15,79). Effective interventions use a variety
of behavioral, cognitive, and educational strategies. On the patient
level, skills such as problem-solving, self-monitoring, developing
prompts or reminder systems, identifying a risk for relapse to a
former behavior, enlisting social support, setting appropriate and
realistic goals, and rewarding achievement of new behaviors are
useful in a variety of situations (15). Adherence is augmented the
most when a combination of strategies is used.
As
a first step, the patient must recognize that adherence is a problem.
This will be obvious when the patient has completely stopped treatment
or a component of treatment. However, it is more common for a patient
to adhere only variably and be unwilling to report the variability
or unaware to what extent this is a problem. For patients not having
the desired treatment outcome (e.g., a lower blood pressure [BP]
after being prescribed an antihypertensive agent) and who deny adherence
problems, it can be very useful to review refill records or at least
have the patient bring in the medication containers so that refill
dates can be reviewed. Other options such as electronic monitors
or electronic diaries can be of value if they are available. Medication,
exercise, diet, and glucose monitoring can all be examined by using
such technologies.
Once
adherence problems have been identified, effective communication
between patients and health care providers is essential and forms
the basis for the actions and strategies detailed in Table
1. Providers, including physicians, nurses, pharmacists, health
educators, nutritionists, and psychologists, may promote adherence
through education, motivation, monitoring, and feedback. Evidence
supports the use of the following:
- simplifying
the regimen
- tailoring
the regimen to the patient's lifestyle and needs
- asking
the patient about adherence at every visit
-
having the patient bring in medication containers and reviewing
them together, with attention to renewal dates as a marker of
adherence
- involving
the patient as a partner in the treatment process
- providing
clear written and oral instructions
- using
behavioral strategies such as reminder systems, cues, self-monitoring,
feedback, and reinforcement.
Additional
training may be needed to enable providers to offer effective counseling
for interventions. Examples of this would be strategies developed
for smoking cessation and nutritional change (80,81). In general,
considering a patient's level of change and need to improve self-efficacy,
counseling should often take a gradual step-by-step approach to
improving adherence, particularly when the patient needs to adhere
to recommendations in several areas. However, individuals such as
Dean Ornish (82) have argued that for many patients, particularly
those in secondary prevention mode, a better response can be obtained
by challenging her or him to make large changes that produce measurable
beneficial results, not only in terms of laboratory measurements
but also in terms of symptoms. This has been demonstrated in studies
such as the Multicenter Lifestyle Demonstration Project (82), in
which an intensive multifactorial intervention of comprehensive
lifestyle change was studied as a direct alternative to revascularization
in selected patients. In this study, 77% of the experimental group
of patients were able to avoid revascularization for at least three
years without increasing cardiac morbidity or mortality. The patients
reported reductions in angina comparable to that of which could
be achieved with revascularization. Such an approach can be very
fruitful when applied to appropriately motivated patients (82,83).
Telephone
counseling (TC) can be an important adjunct to direct counseling
and is an effective mechanism for the simultaneous addressing of
educational, psychosocial, and practical barriers to adherence (84).
An important study of the adjunctive use of TC to aid risk-factor
management in patients with CHD was carried out by DeBusk et al.
(85). They developed a physician-directed, nurse-managed, case management
system for risk-factor modification and, in a randomized controlled
trial, compared the results with those of usual medical care. The
intervention was done on smoking, nutrition, exercise, and lipid-lowering
therapy and showed significant improvement in several areas of lifestyle
behavior. Another study supporting the efficacy of TC was designed
to improve the dietary self-care of diabetics (86). Patients received
TC calls 1 week and 3 weeks after their physician visit, in combination
with immediate computer generated feedback, a 20-min meeting with
an intervention staff member, a copy of a mutually developed goal-setting/strategy
worksheet, a self-help pamphlet in which sections relevant to their
goal had been highlighted, and videos aimed at enhancing self-efficacy.
This brief intervention resulted in significant differences in cholesterol
levels at the three-month follow-up.
There
is substantial support for TC in smoking intervention. Ockene et
al. (75,87) demonstrated a significant improvement in smoking cessation
rates when a TC protocol was used to counsel smokers with CHD. Orleans
et al. (88) found that TC intervention increased the use of self-help
materials, and yielded significantly higher shortand long-term cessation
rates. Likewise, in a study by Lando et al. (89) the use of two
TC calls (averaging less than 15 min each) led to significant differences
in validated six-month cessation rates. A meta-analysis of TC for
smoking cessation also supports the effectiveness of counseling
calls both at short- and long-term follow-up (90). In one cited
study, there was a dose-response effect, with six calls being more
effective than one, which was in turn more effective than written
materials. Telephone counseling calls have been well received in
a number of studies (54,75,91,92).
Health
care organizations can influence the provision of preventive and
treatment services through the establishment of tracking and reporting
systems, the provision of educational and training programs, and
the appropriate reimbursement of providers (15). The ability to
incorporate innovations into medical practice has also been associated
with changes in practice behavior and positive patient outcomes
(80,85). Professional and governmental organizations have established
web sites to disseminate valuable information and tools for patients,
health care professionals, and health care organizations to assist
in developing and maintaining successful health programs. The AHA
Compliance Action Program includes AHA Guidelines, a Patient Tracking
Form to track CVD risk factors for patients, risk-factor patient
information sheets, and many other resources. The AHA has also launched
a robust, web-based, tailored behavior-change program called "My
Heart Watch" as well as several sites for specific risk
factors such as elevated cholesterol and physical inactivity. Web
sites of the individual institutes that comprise the National Institutes
of Health (NIH) provide a remarkable array of resources. The National
Heart, Lung, and Blood Institute (NHLBI), can be accessed for
instruments to manage risk factors, including hypertension, hypercholesterolemia,
and obesity. In addition, The National
Diabetes Education Program, a partnership of the NIH, the Centers
for Disease Control and Prevention, and over 200 public and private
organizations, offers information on diabetes control.
Risk-Factor-Specific
Strategies and Resources for Increasing Adherence
Smoking. There are many effective approaches for smoking
cessation. One is the Patient Centered Counseling Program developed
by Ockene et al. (54). Another is detailed in the "Quick Reference
Guide for Smoking Cessation Specialists" (18).
Briefly,
approaches for smoking cessation should include
the following:
- Ensure
that all persons are aware of the health hazards of cigarette
smoking by using posters/handouts in the waiting room.
- Query
all persons regarding their smoking habits on every visit.
- Explore
barriers to and resources for smoking cessation.
- Provide
targeted and negotiated counseling according to a patient's level
of knowledge, stage of readiness for change, and assessment of
resources/barriers.
- Consider
the use of smoking cessation aids that have proven useful in the
setting of a counseling approach: nicotine-containing patches,
gum, or inhalers; buproprion.
- Schedule
follow-up visits to discuss a patient's progress in addressing
smoking cessation.
Hypertension.
One risk factor for which adherence to medication-taking has improved,
although it is not yet optimal, is hypertension. Evidence-based
recommendations exist to guide the provider (93,94). Programs in
which multidisciplinary teams address patients' beliefs and concerns
and provide follow-up, feedback, and free medication if needed are
the most successful. Practitioners should follow The Sixth Report
of the Joint National Committee on Prevention, Detection, Evaluation,
and Treatment of High Blood Pressure (JNC VI) guidelines for
the detection, evaluation, and treatment of persons with high BP
(93).
Diet/hyperlipidemia.
The recently published Third Report of the Expert Panel on Detection,
Evaluation, and Treatment of High Blood Cholesterol in Adults (95)
(ATP III) suggests multilevel interventions designed to improve
adherence to the evidence-based guidelines for the assessment and
management of dyslipidemias and other risk factors in individuals
with CHD and at-risk for CHD. The complete report is available from
the NHLBI website.
These
can be summarized as follows for all patients:
- Briefly
assess dietary intake of saturated fat and cholesterol.
- Promote
U.S. Dietary Guidelines (population diet) using pamphlets/handouts
and Food Guide Pyramid. Emphasize food portions.
- Provide
shopping and food preparation pamphlets/handouts highlighting
low-saturated fat foods, including reduced-fat dairy products,
leaner meats, lower-fat ground meat, and reduced-fat baked goods.
- Make
full use of office personnel to promote public health message.
The
following summary is for hyperlipidemic patients:
- Consider
readiness to change and level of motivation.
- Promote
ATP III therapeutic lifestyle changes diet using individualized
diet counseling that provides acceptable substitutions for favorite
foods contributing to a patient's elevated LDL levelcounseling
often best performed by a registered dietitian.
- Reinforcement
of dietary principles during follow-up visits at which LDL response
to diet is assessed.
Obesity.
A practical guide
for the "Identification, Evaluation, and Treatment of Overweight
and Obesity in Adults," is an evidenced-based report designed
to assist health care practitioners in providing patients with the
direction and support needed to lose weight and maintain the weight
loss. Ten suggested steps for treating overweight and obesity in
the primary care setting follow:
- Measure
height and weight.
- Measure
waist circumference.
- Assess
co-morbidities.
- Should
your patient be treated?
- Is
the patient ready and motivated?
- Which
diet should you recommend?
- Discuss
a physical activity goal.
- Review
the Weekly Food and Activity Diary.
- Give
the patient copies of the dietary information.
- Enter
the patient's information.
The
most significant problem in the treatment of individuals
who are overweight or obese, but who have lost
weight, is the maintenance of behaviors that led to the weight loss
(96,97). Several studies have focused on strategies for improving
the maintenance of weight loss. A review of the strategies shown
to be effective in enhancing longterm weight maintenance was reported
by Burke (98). Ongoing contact between a health care professional
and a patient yielded the most consistent improvement in maintenance.
Ensuring that the individual incorporates regular physical activity
into the weight loss program is also essential for long-term success.
Individuals who had strong social support while participating in
a weight loss treatment program showed improved adherence to the
program and greater weight loss and maintenance than those who were
pursuing treatment alone (99). These strategies highlight the need
to view the treatment of obesity in the context of a chronic disorder,
similar to hyperlipidemia, wherein an individual needs ongoing follow-up,
evaluation, and reinforcement.
Diabetes.
Numerous resources
are available to assist patients, providers, and organizations,
including work-sites in the control of diabetes. For diabetic patients,
the recommendations listed under the obesity, physical activity,
and diet headings are especially pertinent.
Physical
activity. Programs to promote physical activity are available
and feasible. Prochaska et al. (100,101) describe a particularly
interesting program using interactive health communication technologies
designed to promote physical activity and healthy nutrition for
adolescents and adults that can be incorporated into clinical settings
(Patient-centered Assessment and Counseling for Exercise plus Nutrition
[PACE_] programs). At a minimum, physicians, nurse-practitioners,
and other providers should do the following:
- Promote
regular physical activity by taking a physical activity history.
- Provide
pamphlets/advice regarding general principles of physical activity.
- Recommend
30 min a day of regular, moderate-intensity activity.
Medication-taking
behavior. On the simplest level, the provider should always
ask about adherence to medication and should encourage patients
to bring in medication containers for a review of refill dates.
If available, use of an electronic medication event monitoring system
provides unobtrusive monitoring of day and exact time of medication-taking
events and provides more reliable information about adherence than
pill counts or self-reporting. Selected strategies identified in
Tables 1 and 2
are also applicable to medication-taking behavior.
Summary
and Future Directions
In the past decade, considerable attention has focused on the central
and essential role of adherence as it relates to primary and secondary
prevention of CVD. Although adherence awareness and recognition
of the need for multilevel approaches have increased, accumulated
data suggest that progress has been quite variableparticularly
with adherence to preventive interventions. This is true despite
growing evidence regarding the efficacy of preventive and therapeutic
regimens designed to reduce the risk and burden of CVD. Our most
impressive achievements have been in smoking cessation, and considerable
progress has also been made in controlling high BP and reducing
the population's intake of fat and saturated fat. On the other hand,
the percentage of the population that is obese continues to rise,
and average physical activity levels continue to decline. In addition,
there is substantial evidence that individuals are substituting
sugar for fat in their diet. Perhaps as a consequence, there is
an epidemic of diabetes. As Claude Lenfant, Director of the NHLBI
has noted, "the real challenge of this new millennium may indeed
be to strike an appropriate balance between the pursuit of exciting
new knowledge and the full application of strategies known to be
extremely effective, but considered underused" (102).
Adherence-enhancing
research, focused on all three levelsthe patient, the provider,
and the systemhas been increasingly emphasized over the past
decade. This line of inquiry has contributed important knowledge
to our understanding of patient and provider behaviors as well as
issues embedded within our health care system. Although there is
controversy regarding targeted areas for future adherence research,
there is also consensus regarding the need to disseminate and apply
in practice the multilevel strategies associated with adherence-enhancement.
Achieving a long term solution will require more emphasis on the
multilevel contexts that influence the development and maintenance
of prevention-related health behaviors. To achieve the CVD prevention
goals on a population level, mechanisms for the systematic integration
of social, health, governmental and policy-level factors must be
added to individual-level approaches.
Task
Force 4 Reference List
1. Sackett D, Haynes R. Compliance with therapeutic
regimens. Baltimore, MD: Johns Hopkins University Press, 1976.
2.
Rogers PG, Bullman WR. Prescription medicine compliance: a review
of the baseline of knowledge. A Report of the National Council on
Patient Information and Education. J Pharmacoepidemiol 1995;2:3-36.
3.
Wiebe JS, Christensen AJ. Health beliefs, personality, and adherence
in hemodialysis patients: an interactional perspective. Ann Behav
Med 1997;19:30-5.
4.
Dunbar-Jacob J, Schlenk E, Burke L, Matthews J. Predictors of patient
adherence: patient characteristics. In: Shumaker S, Schron E, Ockene
J, McBee W, editors. The Handbook of Health Behavior Change. New
York, NY: Springer Publishing Co., 1998:491-511.
5.
Dunbar-Jacob JM, Stunkard AJ. Adherence to diet and drug regimens.
In: Levy R, Rifkind B, Dennis B, Ernst N, editors. Nutrition, Lipids,
and Coronary Heart Disease. New York, NY: Raven Press, 1979:391-417.
6.
Randomised trial of cholesterol lowering in 4444 patients with coronary
heart disease: the Scandinavian Simvastatin Survival Study (4S).
Lancet 1994;344:1383-9.
7.
Sacks FM, Pfeffer MA, Moye LA, et al. The effect of pravastatin
on coronary events after myocardial infarction in patients with
average cholesterol levels. Cholesterol and Recurrent Events Trial
investigators. N Engl J Med 1996;335:1001-9.
8.
The Long-Term Intervention with Pravastatin in Ischaemic Disease
(LIPID) Study Group. Prevention of cardiovascular events and death
with pravastatin in patients with coronary heart disease and a broad
range of initial cholesterol levels. N Engl J Med 1998;339:1349-57.
9.
Goldberg RJ, Ockene IS, Yarzebski J, Savageau J, Gore JM. Use of
lipid-lowering medication in patients with acute myocardial infarction
(Worcester Heart Attack Study). Am J Cardiol 1997;79:1095-7.
10.
McCormick D, Gurwitz JH, Lessard D, Yarzebski J, Gore JM, Goldberg
RJ. Use of aspirin, beta-blockers, and lipid-lowering medications
before recurrent acute myocardial infarction: missed opportunities
for prevention? Arch Intern Med 1999;159:561-7.
11.
Pearson TA, Laurora I, Chu H, Kafonek S. The lipid treatment assessment
project (L-TAP): a multicenter survey to evaluate the percentages
of dyslipidemic patients receiving lipid-lowering therapy and achieving
low-density lipoprotein cholesterol goals. Arch Intern Med 2000;160:459-67.
12.
Frolkis JP, Zyzanski SJ, Schwartz JM, Suhan PS. Physician noncompliance
with the 1993 National Cholesterol Education Program (NCEP-ATPII)
guidelines. Circulation 1998;98:851-5.
13.
Frolkis JP, Blackburn GG, Pearce GL, Sprecher DL. Usefulness of
providing physicians the results of risk factor assessments and
treatment recommendations at discharge after coronary artery bypass
grafting. Am J Cardiol 2000;86:455-7.
14.
Miller M, Byington R, Hunninghake D, Pitt B, Furberg CD. Sex bias
and underutilization of lipid-lowering therapy in patients with
coronary artery disease at academic medical centers in the United
States and Canada. Prospective Randomized Evaluation of the Vascular
Effects of Norvasc Trial (PREVENT) Investigators. Arch Intern Med
2000;160:343-7.
15.
Miller NH, Hill M, Kottke T, Ockene IS. The multilevel compliance
challenge: recommendations for a call to action. A statement for
healthcare professionals. Circulation 1997;95:1085-90.
16.
Haynes RB, Montague P, Oliver T, McKibbon KA, Brouwers MC, Kanani
R. Interventions for helping patients to follow prescriptions for
medications. Cochrane Database Syst Rev 2000:CD000011.
17.
Ockene J. Strategies to increase adherence to treatment. In: Burke
LE, Ockene IS, editors. Compliance in Healthcare and Research. Armonk,
NY: Futura Pub. Co., 2001:43-55.
18.
Fiore MD, Bailey WC, Cohen SJ. Smoking cessation: clinical practice
guideline No. 18. 96-06592. Rockville, MD, U.S. Department of Health
and Human Services, Agency for Health Care Policy and Research;
Centers for Disease Control and Prevention, 1996.
19.
Ockene JK, Zapka JG. Physician-based smoking intervention: a rededication
to a five-step strategy to smoking research. Addict Behav 1997;22:835-48.
20.
Moser DJ, Cohen RA, Clark MM, et al. Neuropsychological functioning
among cardiac rehabilitation patients. J Cardiopulm Rehabil 1999;19:91-7.
21.
Miguel JM, Magalhaes E, de Oliveira AG. The adverse effects of antihypertensive
therapy: the perception of patients. Rev Port Cardiol 1999;18:123-30.
22.
Mohr DC, Likosky W, Boudewyn AC, et al. Side effect profile and
adherence in the treatment of multiple sclerosis with interferon
beta-1a. Mult Scler 1998;4:487-9.
23.
Miller NH. Compliance with treatment regimens in chronic asymptomatic
diseases. Am J Med 1997;102:43-9.
24.
Frank E. Enhancing patient outcomes: treatment adherence. J Clin
Psychiatry 1997;58 Suppl 1:11-4.
25.
Fitzgerald SP, Phillipov G. Patient attitudes to commonly promoted
medical interventions. Med J Aust 2000;172:9-12.
26.
Ewart CK, Taylor CB, Reese LB, DeBusk RF. Effects of early postmyocardial
infarction exercise testing on self-perception and subsequent physical
activity. Am J Cardiol 1983;51:1076-80.
27.
McCann BS, Bovbjerg VE, Brief DJ, et al. Relationship of self efficacy
to cholesterol lowering and dietary change in hyperlipidemia. Ann
Behav Med 1995;17:221-6.
28.
Dunbar-Jacob J, Sereika S, Burke LE, et al. Perceived treatment
efficacy: assessment in rheumatoid arthritis. Ann Behav Med 1993;15.
29.
Blumenthal JA, Williams RS, Wallace AG, Williams RB, Jr., Needles
TL. Physiological and psychological variables predict compliance
to prescribed exercise therapy in patients recovering from myocardial
infarction. Psychosom Med 1982;44:519-27.
30.
DiMatteo MR, Sherbourne CD, Hays RD, et al. Physicians' characteristics
influence patients' adherence to medical treatment: results from
the Medical Outcomes Study. Health Psychol 1993;12:93-102.
31.
Lee D, Mendes de Leon CF, Jenkins CD, Croog SH, Levine S, Sudilovsky
A. Relation of hostility to medication adherence, symptom complaints,
and blood pressure reduction in a clinical field trial of antihypertensive
medication. J Psychosom Res 1992;36:181-90.
32.
Nelson EC, Stason WB, Neutra RR, Solomon HS, McArdle PJ. Impact
of patient perceptions on compliance with treatment for hypertension.
Med Care 1978;16:893-906.
33.
Graveley EA, Oseasohn CS. Multiple drug regimens: medication compliance
among veterans 65 years and older. Res Nurs Health 1991;14:51-8.
34.
Emery CF, Hauck ER, Blumenthal JA. Exercise adherence or maintenance
among older adults: 1-year follow-up study. Psychol Aging 1992;7:466-70.
35.
Welsh MC, Labbe EE, Delayney D. Cognitive strategies and personality
variables in adherence to exercise. Psychol Rep 1991;68: 1327-35.
36.
McCrae RR, Costa PT, Jr. Updating Norman's "Adequate Taxonomy:"
intelligence and personality dimensions in natural language and
in questionnaires. J Pers Soc Psychol 1985;49:710-21.
37.
McCrae RR, Costa PT, Jr. Validation of the five-factor model of
personality across instruments and observers. J Pers Soc Psychol
1987;52:81-90.
38.
Donovan JL, Blake DR. Patient non-compliance: deviance or reasoned
decision-making? Soc Sci Med 1992;34:507-13.
39.
Redelmeier DA, Rozin P, Kahneman D. Understanding patients' decisions.
Cognitive and emotional perspectives. JAMA 1993;270:72-6.
40.
Rand C, Weeks K. Measuring adherence with medication regimens in
clinical care and research. In: Shumaker SA, Schron EB, Ockene JK,
editors. The Handbook of Health Behavior Change. New York, NY: Springer
Publishing Co., 1998:114-32.
41.
McElnay JC, McCallion CR. Adherence in the elderly. In: Myers LB,
Midence K, editors. Adherence to Treatment in Medical Conditions.
Amsterdam: Harwood Academic Publishers, 1998:223-53.
42.
McLane CG, Zyzanski SJ, Flocke SA. Factors associated with medication
noncompliance in rural elderly hypertensive patients. Am J Hypertens
1995;8:206-9.
43.
Hughes GH, Hymowitz N, Ockene JK, Simon N, Vogt TM. The multiple
risk factor intervention trial (MRFIT). V. Intervention on smoking.
Prev Med 1981;10:476-500.
44.
Miller NH, Taylor CB. Lifestyle management for patients with coronary
heart disease. Current Issues in Cardiac Rehabilitation. Monograph
No. 2. Champaign, IL: Human Kinetics, 1995.
45.
Nessman DG, Carnahan JE, Nugent CA. Increasing compliance. Patient-operated
hypertension groups. Arch Intern Med 1980;140:1427-30.
46.
Dunbar-Jacob J, Sereika S, Burke LE, et al. Can poor adherence be
improved? Ann Behav Med 1995;17.
47.
Ockene IS, Hebert JR, Ockene JK, et al. Effect of physician-delivered
nutrition counseling training and an office-support program on saturated
fat intake, weight, and serum lipid measurements in a hyperlipidemic
population: Worcester Area Trial for Counseling in Hyperlipidemia
(WATCH). Arch Intern Med 1999;159:725-31.
48.
Ockene JK, Adams A, Hurley TG, Wheeler EV, Hebert JR. Brief physician-
and nurse practitioner-delivered counseling for high-risk drinkers:
does it work? Arch Intern Med 1999;159:2198-205.
49.
Ockene J, Ockene I. Helping patients to reduce their risk for coronary
heart disease: an overview. In: Ockene IS, Ockene J, editors. Prevention
of Coronary Heart Disease. Boston, MA: Little, Brown and Company,
1992:173-99.
50.
Higgins ST, Budney A, Bickel WK, Badger GJ. Participation of significant
others in outpatient behavioral treatment predicts greater cocaine
abstinence. Am J Drug Alcohol Abuse 1994;20:47-56.
51.
Kulik JA, Mahler HI. Emotional support as a moderator of adjustment
and compliance after coronary artery bypass surgery: a longitudinal
study. J Behav Med 1993;16:45-63.
52.
Sherbourne CD, Hays RD, Ordway L, DiMatteo MR, Kravitz RL. Antecedents
of adherence to medical recommendations: results from the Medical
Outcomes Study. J Behav Med 1992;15:447-68.
53.
Belcher DW. Implementing preventive services. Success and failure
in an outpatient trial. Arch Intern Med 1990;150:2533-41.
54.
Ockene JK, Kristeller J, Goldberg R, et al. Increasing the efficacy
of physician-delivered smoking interventions: a randomized clinical
trial. J Gen Intern Med 1991;6:1-8.
55.
Koeck C. Time for organizational development in healthcare organizations.
Improving quality for patients means changing the organization.
BMJ 1998;317:1267-8.
56.
Prochaska JO, DiClemente CC. Stages and processes of self-change
of smoking: toward an integrative model of change. J Consult Clin
Psychol 1983;51:390-5.
57.
Becker M. Health belief model and personal health behavior. Health
Education Monographs 1974;2:324-473.
58.
Bandura A, Schunk DH. Cultivating competence, self-efficacy, and
intrinsic interest through proximal self-motivation. J Pers Soc
Psychol 1981;41:586-98.
59.
Bandura A. Self-Efficacy: The Exercise of Control. New York, NY:W.
H. Freeman & Co., 1997.
60.
Marlatt G, Gordon JR. Determinants of relapse: implications for
the maintenance of behavior change. In: Davidson PO, Davidson SM,
editors. Behavioral Medicine: Changing Health Lifestyles. New York,
NY: Brunner/Mazel, 1980:410-52.
61.
Marlatt G, Gordon JR. Relapse Prevention: Maintenance Strategies
in the Treatment of Addictive Behaviors. New York, NY: The Guilford
Press, 1985.
62.
Grzywacz JG, Fuqua J. The social ecology of health: leverage points
and linkages. Behav Med 2000;26:101-15.
63.
McLeroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective
on health promotion programs. Health Educ Q 1988;15:351-77.
64.
Prochaska JO, DiClemente CC. Transtheoretical therapy: toward a
more integrative model of change. Psychotherapy: Theory, Research
and Practice 1982;19:276-88.
65.
Nigg CR, Courneya KS. Transtheoretical model: examining adolescent
exercise behavior. J Adolesc Health 1998;22:214-24.
66.
Koffman DM, Bazzarre T, Mosca L, Redberg R, Schmid T, Wattigney
WA. An evaluation of Choose to Move 1999: an American Heart Association
physical activity program for women. Arch Intern Med 2001;161:2193-9.
67.
Wallace LS, Buckworth J, Kirby TE, Sherman WM. Characteristics of
exercise behavior among college students: application of social
cognitive theory to predicting stage of change. Prev Med 2000;31:494-505.
68.
Obarzanek E, Kimm SY, Barton BA, et al. Long-term safety and efficacy
of a cholesterol-lowering diet in children with elevated low-density
lipoprotein cholesterol: seven-year results of the Dietary Intervention
Study in Children (DISC). Pediatrics 2001;107:256-64.
69.
Perry C, Baranowski T, Parcel GS. How individuals, environments
and health behaviors interact. In: Glanz K, Lewis FM, Rimer BK,
editors. Health Behavior and Health Education: Theory, Research,
and Practice. San Francisco, CA: Jossey-Bass, 1990:161-86.
70.
Bandura A. Social Foundations of Thought and Action: A Social Cognitive
Theory. Englewood Cliffs, NJ: Prentice-Hall, Inc., 1986.
71.
Luepker RV, Perry CL, McKinlay SM, et al. Outcomes of a field trial
to improve children's dietary patterns and physical activity. The
Child and Adolescent Trial for Cardiovascular Health. CATCH collaborative
group. JAMA 1996;275:768-76.
72.
Simons-Morton DG, Simons-Morton BG, Parcel GS, Bunker JF. Influencing
personal and environmental conditions for community health: a multilevel
intervention model. Fam Community Health 1988;11:25-35.
73.
Burke LE, Dunbar-Jacob JM, Hill MN. Compliance with cardiovascular
disease prevention strategies: a review of the research. Ann Behav
Med 1997;19:239-63.
74.
Ockene J, Kristeller JL, Goldberg R, et al. Smoking cessation and
severity of disease: the Coronary Artery Smoking Intervention Study.
Health Psychol 1992;11:119-26.
75.
Kristeller JL, Merriam PA, Ockene JK, Ockene IS, Goldberg RJ. Smoking
intervention for cardiac patients: in search of more effective strategies.
Cardiology 1993;82:317-24.
76.
Stokols D, Allen J, Bellingham RL. The social ecology of health
promotion: implications for research and practice. Am J Health Promot
1996;10:247-51.
77.
Emmons K. Behavioral and social science contributions to the health
of adults in the United States. In: Smedley BC, Syme SL, editors.
Promoting Health: Intervention Strategies From Social and BehavioralResearch.
Washington, DC: National Academy Press, 2000:254-321.
78.
Philipson TJ, Posner RA. The Long-Run Growth in Obesity as a Function
of Technological Change. Chicago, IL: The Law School, University
of Chicago, John M. Olin Law and Economic Working Papers (2nd Series),
1999.
79.
Hill M. Adherence to antihypertensive therapy. In: Izzo J, Black
HR, editors. Hypertension Primer. Dallas, TX: Council on High Blood
Pressure Research, American Heart Association, 1999:349-51.
80.
Ockene IS, Hebert JR, Ockene J, Saperia GM, Nicolosi R. Effect of
physician-delivered nutrition training and a structured office environment
on diet and serum lipid measurements. Circulation 1996;94:I177.
81.
Kottke TE, Solberg LI, Brekke ML, Conn SA, Maxwell P, Brekke MJ.
A controlled trial to integrate smoking cessation advice into primary
care practice: doctors helping smokers, round III. J Fam Pract 1992;34:701-8.
82.
McClary AM, Marantz P, Taylor MH. Preventive medicine 2000: changing
contexts and opportunities. Acad Med 2000;75:S22-7.
83.
Ornish D, Brown SE, Scherwitz LW, et al. Can lifestyle changes reverse
coronary heart disease? The Lifestyle Heart Trial. Lancet 1990;336:129-33.
84.
Lerman C, Hanjani P, Caputo C, et al. Telephone counseling improves
adherence to colposcopy among lower-income minority women. J Clin
Oncol 1992;10:330-3.
85.
DeBusk RF, Miller NH, Superko HR, et al. A case-management system
for coronary risk factor modification after acute myocardial infarction.
Ann Intern Med 1994;120:721-9.
86.
Glasgow RE, Toobert DJ, Hampson SE. Effects of a brief office based
intervention to facilitate diabetes dietary self-management. Diabetes
Care 1996;19:835-42.
87.
Ockene JK, Camic PM. Public health approaches to cigarette smoking
cessation. Ann Behav Med 1985;7:14-8.
88.
Orleans CT, Schoenbach VJ, Wagner EH, et al. Self-help quit smoking
interventions: effects of self-help materials, social support instructions,
and telephone counseling. J Consult Clin Psychol 1991;59:439-48.
89.
Lando HA, Hellerstedt WL, Pirie PL, McGovern PG. Brief supportive
telephone outreach as a recruitment and intervention strategy for
smoking cessation. Am J Public Health 1992;82:41-6.
90.
Lichtenstein E, Glasgow RE, Lando HA, Ossip-Klein DJ, Boles SM.
Telephone counseling for smoking cessation: rationales and meta-analytic
review of evidence. Health Educ Res 1996;11:243-57.
91.
Britt J, Curry SJ, McBride C, Grothaus L, Louie D. Implementation
and acceptance of outreach telephone counseling for smoking cessation
with nonvolunteer smokers. Health Educ Q 1994;21:55-68.
92.
Zhu SH, Stretch V, Balabanis M, Rosbrook B, Sadler G, Pierce JP.
Telephone counseling for smoking cessation: effects of single-session
and multiple-session interventions. J Consult Clin Psychol 1996;64:
202-11.
93.
The sixth report of the Joint National Committee on Prevention,
Detection, Evaluation, and Treatment of High Blood Pressure. Arch
Intern Med 1997;157:2413-46.
94.
The fifth report of the Joint National Committee on Detection, Evaluation,
and Treatment of High Blood Pressure (JNC V). Arch Intern Med 1993;153:154-83.
95.
Executive Summary of the Third Report of the National Cholesterol
Education Program (NCEP) Expert Panel on Detection, Evaluation,
and Treatment of High Blood Cholesterol in Adults (Adult Treatment
Panel III). JAMA 2001;285:2486-97.
96.
Perri MG, Sears SF, Jr., Clark JE. Strategies for improving maintenance
of weight loss. Toward a continuous care model of obesity management.
Diabetes Care 1993;16:200-9.
97.
Foreyt JP, Goodricks GK. Evidence for success of behavior modification
in weight loss and control. Ann Intern Med 1993;119:698-701.
98.
Burke LE. Strategies to enhance compliance to weight-loss treatment.
In: Fletcher GF, Grundy SM, Hayman LL, editors. Obesity: Impact
on Cardiovascular Disease. Armonk, NY: Futura Publishing Co., Inc.,
1999.
99.
Wing RR, Jeffery RW. Benefits of recruiting participants with friends
and increasing social support for weight loss and maintenance. J
Consult Clin Psychol 1999;67:132-8.
100.
Prochaska JJ, Zabinski MF, Calfas KJ, Sallis SF, Patrick K. PACE_:
interactive communication technology for behavior change in clinical
settings. Am J Prev Med 2000;19:127-31.
101.
Greenland P, Hayman LL. Making cardiovascular disease prevention
a reality. Ann Behav Med 1997;19:193-6.
102.
Lenfant C. Conquering cardiovascular disease: progress and promise.
JAMA 1999;282:2068-70.
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