Evolution and implications of P.A.R. for public health.
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Biomedical subjects
Publications and source records attributed to L W Green.
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Population health depends on a qualitatively different set of investigative methods, decision-making procedures, and assignment of responsibility for action than those applied in the health care systems of Canada today. The focus shifts from a major preoccupation with acute and curative medicine to a greater concern with disease prevention and health promotion, from health outcomes as ends in themselves to quality of life concerns defined not just by the individual but also by the community. To achieve this refocusing, the health care system must decentralize the decision-making processes from provincial to regional and community levels, reorient the medical schools and hospitals from their increasingly global orientation to a greater role in the promotion of health in their own communities, and engage a broader range of disciplines and non-medical groups in partnerships and coalitions for health research and action.
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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for behavior change to prevent disease, we conducted an extensive literature review of published and unpublished studies from 1971 to 1989.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.
This study investigates the implementation of a restrictive smoking policy in decentralized worksites. A model which includes four elements--concept, context, process, and outcomes--is used as a framework for identifying characteristics that influence implementation. The organization studied was a state human services agency with approximately 400 worksites spread across 12 geographic regions. Quantitative data collection included three cross-sectional surveys of employees and supervisors administered before and after the date the policy became effective. Qualitative data were collected from three sources, including written comments on surveys, focus groups, and structured interviews with supervisors and top administrators. Tabular analyses and one-way analyses of variance were used to analyze quantitative data. Qualitative data were examined for key themes and have been used to elucidate findings. Those characteristics related to concept, context, and process which appeared to have the strongest influence on expected and unexpected outcomes of the restrictive smoking policy were degree of policy restrictiveness, job characteristics, perceived level of participation in formulation and implementation, and support of supervisors responsible for day to day enforcement. In particular, in this decentralized organization, lack of participation was found to underlie many of the problems experienced in implementation. The practical implications for developing and implementing a worksite restrictive smoking policy are discussed.
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.
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Individual energy expenditure (kcal/kg/day) was calculated from a detailed set of questions from the Health Promotion and Disease Prevention Supplement of the 1985 National Health Interview Survey. Responses to three single-item, self-assessment questions were compared to the energy expenditure variable to test criterion validity. Spearman's correlation coefficient revealed moderate correlations between energy expenditure and corresponding levels of self-assessed leisure-time physical activity for each single-item question (r = 0.14 to 0.41). For purposes of measuring prevalence of physical activity, the energy expenditure variable was used to categorize individuals into activity levels. The single-item questions were found to have Spearman's correlations with the categorical measures ranging from 0.11 to 0.37 for leisure-time activities. Generally higher correlations were found for males and younger age groups (18-34 years). The relationships were interpreted as being weak relative to an expected correlation of 0.75 for criterion validation. However, the single-item questions show promise for obtaining proxy estimates of the degree of leisure-time physical activity in a population.
Three successive cross-sectional surveys were used to measure the impact of a restrictive smoking policy on employee smoking patterns, perceived exposure to environmental tobacco smoke, attitudes about the policy, and smoking-related norms in a large decentralized state agency. No significant change was detected in smoking prevalence, the proportion of smokers attempting to quit, or the total daily consumption of cigarettes by smokers. The daily consumption of cigarettes at work decreased significantly, from 16.9% to 4.9% smoking 15 or more cigarettes per day. The proportion of respondents bothered every day by coworkers' smoke dropped from 21.8% to 3.8%. Following policy implementation, the interaction between smokers and nonsmokers about smoking decreased. The findings suggest that restrictive work site smoking policies are effective at decreasing exposure to environmental tobacco smoke, but not, at least in the short run, at lowering smoking prevalence. Also, the decreased interaction regarding smoking may have the unintended consequence of reducing the perceived pressure on smokers to quit.