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Dive into the research topics where Sarah A. Fox is active.

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Featured researches published by Sarah A. Fox.


Medical Care | 1991

The Effect of Physician-patient Communication on Mammography Utilization by Different Ethnic Groups

Sarah A. Fox; Judith A. Stein

The differential utilization of screening mammography by racial/ethnic groups was examined through 35-minute bilingual, random digit dialed telephone interviews with 1,057 women over age 35 years. Results showed that 71% of hispanic women had never had a mammogram and that only 27% over age 50 years had had one in the year before the survey. White and black women over the age of 50 years were being screened more frequently with 34% of white women and 36% of black women having had a mammogram in the prior year. More than half of the hispanic women over age 50 years had never had a mammogram. Analyses showed that the most important variable that predicted whether women of all racial groups had a mammogram, at any time or within the last year, was whether their doctors had discussed mammography with them. The discussion did not need to be lengthy or complex. Hispanic women, however, were less likely to have physicians who discussed screening with them even though these women reported that they were just as motivated as other women to get a mammogram if their doctor referred them. Suggestions for what primary care physicians can do to increase mammography rates, especially among hispanic women, are discussed.


Journal of Health and Social Behavior | 1991

The influence of ethnicity, socioeconomic status, and psychological barriers on use of mammography

Judith A. Stein; Sarah A. Fox; Paul J. Murata

This study assessed the relative influence of psychological barriers, SES, and ethnic differences in mammography use for a community sample of 586 White, 227 Black, and 150 Hispanic women. Confirmatory factor analyses with latent variables indicated plausible factor structures for all groups on items related to barriers to mammography. Summed indicators of SES, fear of radiation, embarrassment, pain, anxiety, and cost concerns were correlated significantly with mammography use for the pooled group. Separate analyses by ethnicity indicated a substantial relationship between mammography use and cost concerns by White and Black women, and fear of pain by Black and Hispanic women. Use of mammography was associated more highly with SES among Hispanic women. Pooled logistic regression analyses controlling for SES and ethnicity showed that the psychological barriers, especially concern about cost, remained important independent predictors of mammography use. We explore sociocultural explanations for less mammography use by Hispanic women, especially those less acculturated.


Journal of General Internal Medicine | 2000

Problems in Recruiting Community‐based Physicians for Health Services Research

Steven M. Asch; Sarah E. Connor; Eric G. Hamilton; Sarah A. Fox

OBJECTIVE: To qualitatively determine factors that are associated with higher participation rates in community-based health services research requiring significant physician participation burden. MEASUREMENTS: A review of the literature was undertaken using MEDLINE and the Social Science Research Index to identify health services research studies that recruited large community-based samples of individual physicians and in which the participation burden exceeded that of merely completing a survey. Two reviewers abstracted data on the recruitment methods, and first authors were contacted to supplement published information. MAIN RESULTS: Sixteen studies were identified with participation rates from 2.5% to 91%. Almost all studies used physician recruiters to personally contact potential participants. Recruiters often knew some of the physicians to be recruited, and personal contact with these “known” physicians resulted in greater participation rates. Incentives were generally absent or modest, and at modest levels, did not appear to affect participation rates. Investigators were almost always affiliated with academic institutions, but were divided as to whether this helped or hindered recruitment. HMO-based and minority physicians were more difficult to recruit. Potential participants most often cited time pressures on staff and themselves as the study burden that caused them to decline. CONCLUSIONS: Physician personal contact and friendship networks are powerful tools for recruitment. Participation rates might improve by including HMO and minority physicians in the recruitment process. Investigators should transfer as much of the study burden from participating physicians to project staff as possible.


Health Education & Behavior | 1992

Mammography Usage and the Health Belief Model

Judith A. Stein; Sarah A. Fox; Paul J. Murata

Regular screening mammograms for asymptomatic women are the most effective method for early detection of breast cancer. This study assessed the relative influence of Health Belief Model (HBM) constructs on prior mammography usage and the intention to obtain mammograms with data from a sample of 1,057 women over the age of 35 years residing in an urban community in the United States. Covariance structure analysis with latent variables was used initially to perform a confirmatory factor analysis of indicators of Socioeconomic Status (SES), Perceived Susceptibility, Perceived Barriers, Perceived Benefits, Cues to Action, Prior Mammography, and Future Intentions. Once a plausible factor structure was confirmed, a predictive path model was tested with Future Intentions and Prior Mammography as the outcome variables. Cues to Action, operationalized as a physician influence variable, particularly impacted Prior Mammography, and Perceived Susceptibility was the most powerful predictor of Future Intentions. SES only related significantly to Perceived Barriers, and Cues to Action, and did not directly influence Prior Mammography and Future Intentions. HBM predictor variables alone accounted for the relationship between previous mammography experience and intentions to obtain mammograms in the future. Health education implications and an applied outreach program are discussed.


Health Psychology | 1997

Confirmatory Analysis of Opinions Regarding the Pros and Cons of Mammography

William Rakowski; M. Robyn Andersen; Anne M. Stoddard; Nicole Urban; Barbara K. Rimer; Dorothy S. Lane; Sarah A. Fox; Mary E. Costanza

This investigation extends prior research to apply decision-making constructs from the transtheoretical model (TTM) of behavior change to mammography screening. Study subjects were 8,914 women ages 50-80, recruited from 40 primarily rural communities in Washington State. Structural equation modeling showed that favorable and unfavorable opinions about mammography (i.e., pros and cons) fit the observed data. Analysis of variance supported the associations between readiness to obtain screening (i.e., stage of adoption) and opinions about mammography (i.e., decisional balance) previously found in research using smaller samples from another geographic region. This report extends these earlier studies by using structural equation modeling, opinion scales based both on principal component analyses and on a priori definitions, a developmental sample and a confirmatory sample, and by sampling from a different geographic region. It is recommended that future research examine whether opinions regarding the cons of mammography are more individually specific than the pros.


Journal of General Internal Medicine | 2005

Toward optimal screening strategies for older women : Costs, benefits, and harms of breast cancer screening by age, biology, and health status

Jeanne S. Mandelblatt; Clyde B. Schechter; K. Robin Yabroff; William F. Lawrence; James J. Dignam; Martine Extermann; Sarah A. Fox; Gretchen M. Orosz; Rebecca A. Silliman; Jennifer Cullen; Lodovico Balducci

CONTEXT: Optimal ages of breast cancer screening cessation remain uncertain.OBJECTIVE: To evaluate screening policies based on age and quartiles of life expectancy (LE).DESIGN AND POPULATION: We used a stochastic model with proxies of age-dependent biology to evaluate the incremental U.S. societal costs and benefits of biennial screening from age 50 until age 70, 79, or lifetime.MAIN OUTCOME MEASURES: Discounted incremental costs per life years saved (LYS).RESULTS: Lifetime screening is expensive (


Health Education & Behavior | 1998

Breast Cancer Screening Adherence: Does Church Attendance Matter?

Sarah A. Fox; Kathryn Pitkin; Christopher Paul; Sally Carson; Naihua Duan

151,434 per LYS) if women have treatment and survival comparable to clinical trials (idealized); stopping at age 79 costs


Cancer | 1994

Screening mammography and older hispanic women. Current status and issues

Sarah A. Fox; Richard G. Roetzheim

82,063 per LYS. This latter result corresponds to costs associated with an LE of 9.5 years at age 79, a value expected for 75% of 79-year-olds, about 50% of 80-year-olds, and 25% of 85-year-olds. Using actual treatment and survival patterns, screening benefits are greater, and lifetime screening of all women might be considered (


Health Education & Behavior | 2000

Dealing with Diversity: Recruiting Churches and Women for a Randomized Trial of Mammography Promotion

Kathryn Pitkin Derose; Jennifer Hawes-Dawson; Sarah A. Fox; Noris Maldonado; Audrey Tatum; Raynard Kington

114, 905 per LYS), especially for women in the top 25% of LE for their age (


Journal of General Internal Medicine | 2006

The effect of pharmacy benefit design on patient-physician communication about costs.

William H. Shrank; Sarah A. Fox; Adele Kirk; Susan L. Ettner; Clairessa H. Cantrell; Peter Glassman; Steven M. Asch

50,643 per LYS, life expectancy of ∼7 years at age 90).CONCLUSIONS: If all women receive idealized treatment, the benefits of mammography beyond age 79 are too low relative to their costs to justify continued screening. However, if treatment is not ideal, extending screening beyond age 79 could be considered, especially for women in the top 25% of life expectancy for their age.

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Anne M. Stoddard

University of Massachusetts Amherst

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Barbara K. Rimer

University of North Carolina at Chapel Hill

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Nicole Urban

Fred Hutchinson Cancer Research Center

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Mary E. Costanza

University of Massachusetts Medical School

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