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Biomedical subjects

N Urban

Publications and source records attributed to N Urban.

69 records · Page 4Linked to original sources
PubMed1981

The costs of a suburban paramedic program in reducing deaths due to cardiac arrest.

The marginal costs per averted death of a suburban paramedic program are estimated to be approximately $42,000, when program costs are attributed entirely to cardiac arrest cases due to underlying heart disease, and indirect costs attributable to episode-related hospitalization are included, It is suggested that at $42,000 per cardiac arrest death averted the program is cost-beneficial by two criteria. First, it compares favorably with an estimate obtained from the literature of the value to the average individual of saving the life of a myocardial infarction patient. Second, the people of King County passed a cost-commensurate Paramedic Program Property Tax Levy in 1979, revealing their willingness to support the program. Results of the study should be generalized in accordance with the facts that in King County 1) the population density averages approximately 1,300 per square mile; 2) a basic emergency medical system ensures a 4-minute average response time to initiation of cardiopulmonary resuscitation; 3) a citizen-training program in cardiopulmonary resuscitation further reduces average time to initiation of basic life support; and 4) the paramedic program is designed to ensure a 10-minute average time to definitive care.

Catchment Area, Health↗
PubMedDate not supplied

Underusers of mammogram screening: stage of adoption in five U.S. subpopulations. The NCI Breast Cancer Screening Consortium.

BACKGROUND: The purpose of this report is to describe the characteristics of women ages 50 to 80 who do not follow commonly accepted mammography screening guidelines. It provides unique understanding of the robustness of characteristics of underusers across five different U.S. subpopulations. METHODS: The data are from the baseline surveys of the five studies of the NCI Breast Cancer Screening Consortium. Stage of adoption of mammography screening and other characteristics of underusers are presented. Polytomous logistic regression analysis was used to explore multivariable associations with stage of adoption in each study site. RESULTS: The five samples studied by the Consortium range in size from 259 to 4,477 women (n = 11,292). The relationship of the perceptions of the pros and cons of mammography with stage of adoption was strikingly similar across the five samples. Other variables consistently associated with stage were a recent receipt of a breast physical examination and recommendation for mammography by a physician. CONCLUSIONS: The findings suggest a need to encourage regular screening through effective communication from a health care provider. Intervention messages should be designed to increase the pros of mammography, decrease the cons, and highlight these differentially according to the woman's stage of adoption.

Aged↗
PubMedDate not supplied

How women label and respond to symptoms of acute myocardial infarction: responses to hypothetical symptom scenarios.

OBJECTIVE: To investigate how women label and intend to respond to common and less common symptoms of acute myocardial infarction (AMI). DESIGN: Telephone interviews were conducted with 862 women older than age 50 years in the state of Washington. OUTCOME MEASURES: Intended coping strategies, labeling of hypothetical symptoms, perceived risk of AMI, knowledge of AMI symptoms, medical and family history of AMI and demographics. RESULTS: Women who labeled common or less common symptoms as a heart attack (65% and 36%, respectively) were more likely to report they would call 911 or go to a hospital right away than women who labeled these symptoms as something else. The results of a multiple logistic regression analysis suggests that knowledge of less common AMI symptoms, AMI information seeking, and personal risk perceptions were significant predictors of labeling less common symptoms as a heart attack. CONCLUSIONS: The findings suggest that many women might be in danger of mislabeling their symptoms and not taking appropriate action. Women need to be educated about the less common symptoms of AMI and need to be encouraged to seek out information regarding AMI.

Adaptation, Psychological↗
PubMedDate not supplied

The Women's Health Trial as an investment.

The Women's Health Trial (WHT), a large, multi-unit randomized controlled trial, would have cost a total of $130 million to test the hypothesis that a 50% reduction in the percentage of calories from dietary fat would yield a detectable reduction in breast cancer incidence. However, the WHT was discontinued because evidence to support the hypothesized relationship between dietary fat and breast cancer was judged insufficient to justify the trial. The analysis presented here was undertaken in order to contribute an economic perspective on this issue. Principles of decision analysis and cost-effectiveness analysis are employed to obtain a preliminary estimate of the expected cost per year of life saved of the WHT, as a function of the prior probability that the hypothesis is true (PRIOR). Under specified basecase assumptions, the estimated expected costs per year of life saved range from $11,900 when PRIOR is assumed to be 0.9 to $25,615 when PRIOR is assumed to be 0.1. Sensitivity analyses suggest that the results are most sensitive to assumptions about the strength of the relationship between dietary fat and breast cancer risk, and that improved when it is assumed that dietary change can be achieved by an inexpensive intervention. The expected cost-effectiveness of the WHT is well within the range of estimates of cost-effectiveness of other disease prevention interventions.

Breast Neoplasms↗
PubMedDate not supplied

Optimizing sampling strategies for estimating quality-adjusted life years.

Accurate estimation of quality of life is critical to cost-effectiveness analysis. Nevertheless, development of sampling algorithms to maximize the accuracy and efficiency of estimated quality of life has received little consideration to date. This paper presents a method to optimize sampling strategies for estimating quality-adjusted life years. In particular, the authors address the questions of when to sample and how many observations to sample at each sampling time, assuming realistically that the sample variance of quality of life is not constant over time. The method is particularly useful for the design problems researchers face when time or research budget constraints limit the number of individuals that can be surveyed to estimate quality of life. The article focuses on cross-sectional sampling. The method proposed requires some knowledge of survival in the population of interest, the approximate variances in utilities at various points along the curve, and the general shape of the quality-adjusted survival curve. Such data are frequently available from disease registries, the literature, or previous studies.

Cost-Benefit Analysis↗
PubMedDate not supplied

Maintenance of a low-fat diet: follow-up of the Women's Health Trial.

This report examines the maintenance of a low-fat diet 1 year on average after the completion of intervention sessions among participants in the Women's Health Trial (WHT). The WHT was a randomized controlled trial of the feasibility of adoption of a low-fat diet among women of moderate or increased risk of breast cancer, conduced in Seattle, Houston, and Cincinnati in 1985-1988. The women randomized to the low-fat diet attended an intensive dietary intervention program for 5-37 months. Intervention women were highly successful in reducing their dietary fat intake from 40.0% of energy intake at baseline to 26.3% by the end of the trial, based on a food frequency questionnaire (or an estimated 24% adjusted for the inaccuracies of a food frequency questionnaire versus a 4-day diet record). During 1989, 1 year on average after the WHT ended, 448 intervention women and 457 control women (87% of eligibles) completed a follow-up survey to determine the degree of maintenance of the diet. The intervention women maintained the low-fat diet with an increase of only 1.4 percentage points of energy from fat, despite the fact that they had attended no further intervention sessions and had made no commitment to maintain the diet beyond the end of the WHT. Furthermore, the degree of maintenance of the low-fat diet was not dependent on the length of time in the intervention, which suggests that intervention led to a sustained change in eating habits after as little as 5-9 months (8-13 classes).(ABSTRACT TRUNCATED AT 250 WORDS)

Aged↗
PubMedDate not supplied

Dietary changes among husbands of participants in a low-fat dietary intervention.

A dietary intervention delivered to one family member with a beneficial impact on other members could provide a cost-effective approach to public health dietary intervention programs. The Women's Health Trial (WHT) was a study in which women were randomized to be trained in adopting a low-fat diet or to continue their normal diet. The intervention women consumed 21% of total calories from fat versus 38% for control women at six months postrandomization. Husbands of women in the Seattle Clinical Center of the WHT were surveyed between 1985 and 1988 to determine whether and to what extent the husbands' diets changed at six months. Ninety-one intervention men and 162 control men, 79% of those eligible, participated. Intervention men reported an average weight loss of 2.4 pounds, compared to an average 0.7-lb loss among controls (P = .03). Based on self-reported change of specific foods, we found that intervention men more often reduced butter, margarine, eggs, and red meat over the six months than did control men (P less than .001). Based on nutrient consumption estimated by a food frequency questionnaire, intervention husbands consumed 34% of total calories from fat versus 36% for controls (P = 0.04). The number of meals shared with wives per week modified the effect of the intervention: among the intervention group, for every three meals shared, an accompanying one percentage point reduction in percentage of calories from fat occurred in the husband's diet. Thus, we suggest that dietary intervention programs attended by one spouse appear to exert a small beneficial effect on the other spouse.

Aged↗
PubMedDate not supplied

Specialty differences and the ordering of screening mammography by primary care physicians.

BACKGROUND: Careful attention to factors that affect women and their physicians is necessary to achieve the national goal that, by the year 2000, 60 percent of women should have had a screening mammogram in the previous 2 years. This report evaluates factors that differentiate primary care physicians who regularly order mammograms from those who do not. The study was conducted as part of a large demonstration project in Washington State and includes a survey of women served by the physicians. METHODS: We conducted a survey of primary care physicians and women in four counties to assess factors that influenced self-reported ordering of screening mammography. RESULTS: Among the 73 percent of family physicians, general practitioners, internists, and obstetrician-gynecologists who returned the questionnaire, there were more obstetrician-gynecologists (76 percent) who reported ordering screening mammograms in 90 percent or more of women aged 50 to 75 years, but they cared for only 15 percent of women in the sample. Women's survey results confirmed the physicians' reported differences and also revealed demographic characteristics that distinguished populations associated with particular primary care specialists. These specialists differed in their perceptions of their colleague's mammography practices, the adequacy of insurance coverage, and how often they had spent an unreasonable time explaining mammography results. In a multivariate model of factors expected to influence behavior, performance of clinical breast examination rather than specialty was the salient factor associated with ordering screening mammography. CONCLUSIONS: These results suggest that the context of practice, rather than specialty type or beliefs about mammography, has the major influence upon behavior. To achieve national screening mammography goals in the Northwest, we must influence the context of family physicians' preventive care practices because they care for 47 percent of women aged 50 years or older.

Aged↗
PubMedDate not supplied

Medical community involvement in a breast cancer screening promotional project.

The analysis, mobilization, and involvement of medical communities in two counties targeted for intervention by the Washington State Community Breast Cancer Screening Project is described. Principles of community organization were applied to the health care sectors in the counties, and the PRECEDE-PROCEED model was used as a conceptual framework for considering individual physician behavior. Quantitative and qualitative medical community assessment methods included a demographic study, a survey of primary care physicians, personal interviews with physicians, and medical office staff focus groups. In both intervention areas, physician planning groups selected, developed, and helped implement intervention activities targeting the health care sectors. These activities included informational mailings to physicians, training of medical office staff members and clinical mammographers, and support for a reminder system. The experience demonstrated that physicians practicing in medium-sized cities are willing to be active in community disease prevention programs.

Breast Neoplasms↗
PubMedDate not supplied

Conflicting national recommendations and the use of screening mammography: does the physician's recommendation matter?

BACKGROUND: This study evaluated whether women's perceptions of the conflicting recommendations for breast cancer screening were associated with decreased use of mammography. METHODS: We conducted a random-digit-dial telephone survey of 1024 women in four communities of western Washington State. In addition to collecting data for demographics, beliefs about mammography, and insurance coverage, we inquired whether the respondents were aware of any conflicting recommendations about when to begin or how frequently to perform screening mammography, whether their physicians had recommended a mammogram, and whether they were likely to do what their physicians recommended. After grouping women according to whether they perceived conflicting recommendations, we used chi-square statistics to compare the distribution of proportions of women by age, race, household income, education, and insurance coverage. To estimate the odds of their having a mammogram in the previous 2 years (yes or no), we used multivariate logistic regression and included the above variables as covariates. RESULTS: Sixty-two percent of eligible women completed the survey, and 49 percent (479 of 985) perceived conflicting recommendations. The association between perceiving conflict and mammography use was not significant. Eighty-three percent of women who perceived conflicting recommendations reported being more comfortable using their own judgment about getting the procedure. After controlling for whether women perceived conflicting recommendations and all other factors, women who said they followed their physician's advice but did not recall their physician recommending mammography were 71 percent less likely to have received a recent mammogram than were women who reported their physician did recommend it (odds ratio 0.29, confidence interval 0.16-0.51). CONCLUSIONS: The conflicting recommendations surrounding breast cancer screening are not influencing women's choices about mammography. The physician recommendation and women's self-reported likeliness to follow it are the most important factors associated with mammography use.

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