Search

Background: Current methods for assessing strength of evidence prioritize the contributions of randomized controlled trials (RCTs). The objective of this study was to characterize strength of evidence (SOE) tools in recent use, identify their application to lifestyle interventions for improved longevity, vitality, or successful aging, and to assess implications of the findings., Methods: The search strategy was created in PubMed and modified as needed for four additional databases: Embase, AnthropologyPlus, PsycINFO, and Ageline, supplemented by manual searching. Systematic reviews and meta-analyses of intervention trials or observational studies relevant to lifestyle intervention were included if they used a specified SOE tool. Data was collected for each SOE tool. Conditions necessary for assigning the highest SOE grading and treatment of prospective cohort studies within each SOE rating framework were summarized. The expert panel convened to discuss the implications of findings for assessing evidence in the domain of lifestyle medicine., Results and Conclusions: A total of 15 unique tools were identified. Ten were tools developed and used by governmental agencies or other equivalent professional bodies and were applicable in a variety of settings. Of these 10, four require consistent results from RCTs of high quality to award the highest rating of evidence. Most SOE tools include prospective cohort studies only to note their secondary contribution to overall SOE as compared to RCTs. We developed a new construct, Hierarchies of Evidence Applied to Lifestyle Medicine (HEALM), to illustrate the feasibility of a tool based on the specific contributions of diverse research methods to understanding lifetime effects of health behaviors. Assessment of evidence relevant to lifestyle medicine requires a potential adaptation of SOE approaches when outcomes and/or exposures obviate exclusive or preferential reliance on RCTs. This systematic review was registered with the International Prospective Register of Systematic Reviews, PROSPERO [CRD42018082148].

Context: Health communication campaigns including mass media and health-related product distribution have been used to reduce mortality and morbidity through behavior change. The intervention is defined as having two core components reflecting two social marketing principles: (1) promoting behavior change through multiple communication channels, one being mass media, and (2) distributing a free or reduced-price product that facilitates adoption and maintenance of healthy behavior change, sustains cessation of harmful behaviors, or protects against behavior-related disease or injury., Evidence Acquisition: Using methods previously developed for the Community Guide, a systematic review (search period, January 1980-December 2009) was conducted to evaluate the effectiveness of health communication campaigns that use multiple channels, including mass media, and distribute health-related products. The primary outcome of interest was use of distributed health-related products., Evidence Synthesis: Twenty-two studies that met Community Guide quality criteria were analyzed in 2010. Most studies showed favorable behavior change effects on health-related product use (a median increase of 8.4 percentage points). By product category, median increases in desired behaviors ranged from 4.0 percentage points for condom promotion and distribution campaigns to 10.0 percentage points for smoking-cessation campaigns., Conclusions: Health communication campaigns that combine mass media and other communication channels with distribution of free or reduced-price health-related products are effective in improving healthy behaviors. This intervention is expected to be applicable across U.S. demographic groups, with appropriate population targeting. The ability to draw more specific conclusions about other important social marketing practices is constrained by limited reporting of intervention components and characteristics., (Published by Elsevier Inc.)

Objectives: To examine the overall effectiveness of patient education and counseling on preventive health behaviors and to examine the effects of various approaches for modifying specific types of behaviors., Data Sources: Computerized databases (Medline, Healthline, Dissertation Abstracts, and Psychological Abstracts), bibliographies 1971-1994. Search terms (patient education, patient compliance, and self care) with modifiers (evaluation and specific preventive behaviors)., Study Selection: Randomized and non-randomized controlled trials measuring behavior in clinical settings with patients without diagnosed disease. Abstracts and retrieved studies screened by multiple reviewers; 13% of retrieved studies met screening criteria., Data Extraction: Replicated coding by multiple observers., Data Synthesis: Behaviors were grouped based on whether the behavior is addictive and whether the desired change required subtraction of existing behaviors or adding new behaviors. The weighted average effect size from a random effects model for smoking/alcohol studies was 0.61 (CI = 0.45, 0.77), for nutrition/weight, 0.51 (CI = 0.20, 0.82) and for other behaviors, 0.56 (CI = 0.34, 0.77) indicating that the behavioral outcomes for these subgroups were significantly different from zero. Multiple regression models for the three groups indicated that using behavioral techniques, particularly self-monitoring, and using several communication channels, e.g., media plus personal communication, produces larger effects for the smoking/alcohol and nutrition/weight groups., Conclusions: Patient education and counseling contribute to behavior change for primary prevention of disease. Some techniques are more effective than others in changing specific behaviors.

To determine characteristics of controlled studies (quasi-experimental and randomized) of clinical patient education/counseling for behavior change to prevent disease, we conducted an extensive literature review of published and unpublished studies from 1971 to 1989. Sixty-four studies with 101 intervention groups met specific criteria for relevance and scientific acceptability. We examine these studies in terms of prevention area, subject source, intervention characteristics, and use of educational principles. Findings reveal many controlled clinical studies in smoking cessation, nutrition, and weight control but sparcity in other areas (injury prevention, exercise, stress, drug and alcohol misuse, STD prevention); an emphasis on communication by a single clinical practitioner; and varied use of educational principles. We recommend adhering to educational principles to enhance likelihood of success.

The Health Belief Model (HBM) relates a socio-psychologic theory of decision making to individual health-related behaviors. We conducted a meta-analysis of the relationships between four HBM dimensions (Susceptibility, Severity, Benefits and Costs) and health behavior on 16 studies that measured all four of the dimensions, measured a behavioral dependent variable and included some measures of reliability, minimal criteria for establishing the validity of the dimensions. Mean effect sizes were computed for all the studies, subgroupings representing studies of screening, risk reduction and adherence to medical regimen, and prospective and retrospective study designs. Of 24 mean effect sizes, 22 were found to be positive and statistically significant. The actual variance accounted for ranged from 0.001 to 0.09. Homogeneity was rejected for 15 of the 22, however, suggesting that the same underlying construct was not measured. Retrospective studies were found to have significantly large effect sizes for benefits and costs and smaller effect sizes for severity when compared to prospective studies. The weak effect sizes and lack of homogeneity indicate that it is premature to draw conclusions about the predictive validity of the HBM as operationalized in these studies. Our finding of only 16 studies meeting minimal criteria for valid representation of the HBM dimensions indicates that future studies should focus more on such issues.

Because selection of studies for a literature review influences conclusions, inclusion criteria are of utmost importance. For a meta-analysis of studies testing effects of patient education on preventive behaviors, we present the framework and concepts used for setting inclusion criteria for primary studies. We also present the yield in terms of number and distribution of studies that resulted from the inclusion criteria. Because we were interested in a diverse range of behaviors and a broad definition of patient education, we present a method for grouping behaviors by type of behavior change and describe parameters for subgrouping interventions by orientation and communication channel. Of 5,451 citations located and abstracts screened, 561 citations reporting potentially relevant studies were reviewed. Based on our inclusion criteria, 171 citations contained relevant studies, of which 64 studies (found in 62 citations) also met our acceptability criteria. We examine the effects of alternate inclusion criteria on the yield of primary studies and their distributions across the subgroupings.

Successful implementation of clinical preventive care programs is a shared responsibility of patients and health care professionals. The physician often laments patient failure to follow directions while the same patient complains that instructions were never given. Health care professionals should strive to "practice as they preach." They need to assure that their patients have clearly understood the recommendations and that patient concerns are assessed and addressed. Similarly, patients need to participate more actively in their own health care and to assume greater initiative in getting their questions answered and their concerns addressed. To increase the likelihood of these actions and their intended health behavior changes, a set of principles derived from theory and research can be followed. These principles represent a way to understand and influence the health behavior of physicians and patients. The principles are interactive and complementary and are based on the elements that appear to be associated with successful educational programs. Consideration of these principles in the conduct of educational diagnoses, interventions, and health education programs increases the incidence and durability of behavior change.