The role of perceived benefits and costs in patients' medical decisions.

BACKGROUND: Many decisions can be understood in terms of actors' valuations of benefits and costs. The article investigates whether this is also true of patient medical decision making. It aims to investigate (i) the importance patients attach to various reasons for and against nine medical decisions; (ii) how well the importance attached to benefits and costs predicts action or inaction; and (iii) how such valuations are related to decision confidence. METHODS: In a national random digit dial telephone survey of U.S. adults, patients rated the importance of various reasons for and against medical decisions they had made or talked to a health-care provider about during the past 2 years. Participants were 2575 English-speaking adults age 40 and older. Data were analysed by means of logistic regressions predicting action/inaction and linear regressions predicting confidence. RESULTS: Aggregating individual reasons into those that may be regarded as benefits and those that may be regarded as costs, and weighting them by their importance to the patient, shows the expected relationship to action. Perceived benefits and costs are also significantly related to the confidence patients report about their decision. CONCLUSION: The factors patients say are important in their medical decisions reflect a subjective weighing of benefits and costs and predict action/inaction although they do not necessarily indicate that patients are well informed. The greater the difference between the importance attached to benefits and costs, the greater patients' confidence in their decision.

Race, ethnicity, and shared decision making for hyperlipidemia and hypertension treatment: the DECISIONS survey.

BACKGROUND: Racial/ethnic differences in shared decision making about cardiovascular risk-reduction therapy could affect health disparities. OBJECTIVE: To investigate whether patient race/ethnicity is associated with experiences discussing cardiovascular risk-reduction therapy with health care providers. SETTING: National sample of US adults identified by random-digit dialing. DESIGN: Cross-sectional survey conducted in November 2006 to May 2007. PARTICIPANTS: Among participants in the National Survey of Medical Decisions (DECISIONS), a nationally representative sample of English-speaking US adults aged 40 and older, the authors analyzed respondents who reported discussing hyperlipidemia or hypertension medications with a health care provider in the previous 2 years. MEASUREMENTS: In multivariate linear and logistic regressions adjusting for age, gender, income, insurance status, perceived health, and current therapy, they assessed the relation between race/ethnicity (black/Hispanic v. white) and decision making: knowledge, discussion of pros and cons of therapy, discussion of patient preference, who made the final decision, preferred involvement, and confidence in the decision. RESULTS: Of respondents who discussed high cholesterol (N = 738) or hypertension (N = 745) medications, 88% were white, 9% black, and 4% Hispanic. Minorities had lower knowledge scores than whites for hyperlipidemia (42% v. 52%, difference -10% [95% confidence interval (CI): 15, -5], P < 0.001), but not for hypertension. For hyperlipidemia, minorities were more likely than whites to report that the health care provider made the final decision for treatment (31.7% v. 12.3% whites, difference 19.4% [95% CI: 6.9, 33.1%], P < 0.01); this was not true for hypertension. LIMITATIONS: Possible limitations include the small percentage of minorities in the sample and potential recall bias. CONCLUSIONS: Minorities considering hyperlipidemia therapy may be less informed about and less involved in the final decision-making process.

Decision-making processes for breast, colorectal, and prostate cancer screening: the DECISIONS survey.

BACKGROUND: Patients should understand the risks and benefits of cancer screening in order to make informed screening decisions. OBJECTIVES: To evaluate the extent of informed decision making in patient-provider discussions for colorectal (CRC), breast (BrCa), and prostate (PCa) cancer screening. SETTING: National sample of US adults identified by random-digit dialing. DESIGN: Cross-sectional survey conducted between November 2006 and May 2007. PARTICIPANTS: English-speaking US adults aged 50 y and older who had discussed cancer screening with a health care provider within the previous 2 y. MEASUREMENTS: Cancer screening survey modules that asked about demographic characteristics, cancer knowledge, the importance of various sources of information, and self-reported cancer screening decision-making processes. RESULTS: Overall, 1082 participants completed 1 or more of the 3 cancer modules. Although participants generally considered themselves well informed about screening tests, half or more could not correctly answer even 1 open-ended knowledge question for any given module. Participants consistently overestimated risks for being diagnosed with and dying from each cancer and overestimated the positive predictive values of prostate-specific antigen tests and mammography. Providers were the most highly rated information source, usually initiated screening discussions (64%-84%), and often recommended screening (73%-90%). However, participants reported that providers elicited their screening preferences in only 31% (CRC women) to 57% (PCa) of discussions. Although more than 90% of the discussions addressed the pros of screening, only 19% (BrCa) to 30% (PCa) addressed the cons of screening. LIMITATIONS: Recall bias is possible because screening process reports were not independently validated. CONCLUSIONS: Cancer screening decisions reported by patients who discussed screening with their health care providers consistently failed to meet criteria for being informed. Given the high ratings for provider information and frequent recommendations for screening, providers have important opportunities to ensure that informed decision making occurs for cancer screening decisions.

The 2006-2010 National Survey of Family Growth: sample design and analysis of a continuous survey.

OBJECTIVE: The National Survey of Family Growth (NSFG) collects data on pregnancy, childbearing, men's and women's health, and parenting from a national sample of women and men 15-44 years of age in the United States. This report describes the sample design for the NSFG's new continuous design and the effects of that design on weighting and variance estimation procedures. A working knowledge of this information is important for researchers who wish to use the data. Two data files are being released--the first covering 2.5 years (30 months) of data collection and the second after all data have been collected. This report is being released with the first data file. A later report in this Series will include specific results of the weighting, imputation, and variance estimation. METHODS: The NSFG's new design is based on an independent, national probability sample of women and men 15-44 years of age. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with the National Center for Health Statistics (NCHS). In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers. RESULTS: Analysis of NSFG data requires the use of sampling weights and estimation of sampling errors that account for the complex sample design and estimation features of the survey. Sampling weights are provided on the data files. The rate of missing data in the survey is generally low. However, missing data were imputed for about 600 key variables (called "recodes") that are used for most analyses of the survey. Imputation was accomplished using a multiple regression procedure with software called IVEware, available from the University of Michigan website.

The Effect of Question Framing and Response Options on the Relationship between Racial Attitudes and Beliefs about Genes as Causes of Behavior.

Prior research suggests that the attribution of individual and group differences to genetic causes is correlated with prejudiced attitudes toward minority groups. Our study suggests that these findings may be due to the wording of the questions and to the choice of response options. Using a series of vignettes in an online survey, we find a relationship between racial attitudes and genetic attributions when respondents are asked to make causal attributions of differences between racial groups. However, when they are asked to make causal attributions for characteristics shown by individuals, no such relationship is found. The response scale used appears to make less, if any, difference in the results. These findings indicate that the way questions about genetic causation of behavior are framed makes a significant contribution to the answers obtained because it significantly changes the meaning of the questions. We argue that such framing needs to be carefully attended to, not only in posing research questions but also in discourse about genetics more generally.

Trends in U.S. Attitudes Toward Genetic Testing, 1990-2004.

This research note examines changes in beliefs and attitudes over a 14-year period, from 1990, when the revolution in genomic science was just beginning, to 2004, the most recent time point for which data are available. The analysis makes clear that there is no simple causal path from changes in technology to changes in values and beliefs, at least over the period of time during which we have been able to track this process. At the same time, claimed awareness about the new technology is slowly and gradually diffusing throughout the society.

National Survey of Family Growth, Cycle 6: sample design, weighting, imputation, and variance estimation.

OBJECTIVES: Cycle 6 of the National Survey of Family Growth (NSFG) was conducted by the National Center for Health Statistics in 2002 and early 2003. This report describes how the sample was designed, shows response rates for various subgroups of men and women, describes how the sample weights were computed to make national estimates possible, shows how missing data were imputed for a limited set of key variables, and describes the proper ways to estimate sampling errors from the NSFG. The report includes both nontechnical summaries for readers who need only general information and more technical detail for readers who need an in-depth understanding of these topics. METHODS: The NSFG Cycle 6 was based on an independent, national probability sample of men and women 15-44 years of age. It was the first NSFG ever to include a national sample of men 15-44 as well as a sample of women. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with NCHS. In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers. In all, 12,571 women and men-7,643 females and 4,928 males-were interviewed, the largest NSFG ever done. RESULTS: Analysis of NSFG Cycle 6 data requires the use of sampling weights and estimation of sampling errors that accounts for the complex sample design and estimation features of the survey. Examples of how to use several available software packages that incorporate complex design features in estimation, such as SAS, SUDAAN, and STATA, are presented.

Life-course socioeconomic position and hypertension in African American men: the Pitt County Study.

OBJECTIVES: We investigated the odds of hypertension for Black men in relationship to their socioeconomic position (SEP) in both childhood and adulthood. METHODS: On the basis of their parents' occupation, we classified 379 men in the Pitt County (North Carolina) Study into low and high childhood SEP. The men's own education, occupation, employment status, and home ownership status were used to classify them into low and high adulthood SEP. Four life-course SEP categories resulted: low childhood/low adulthood, low childhood/high adulthood, high childhood/low adulthood, and high childhood/high adulthood. RESULTS: Low childhood SEP was associated with a 60% greater odds of hypertension, and low adulthood SEP was associated with a 2-fold greater odds of hypertension. Compared with men of high SEP in both childhood and adulthood, the odds of hypertension were 7 times greater for low/low SEP men, 4 times greater for low/high SEP men, and 6 times greater for high/low SEP men. CONCLUSIONS: Greater access to material resources in both childhood and adulthood was protective against premature hypertension in this cohort of Black men. Though some parameter estimates were imprecise, study findings are consistent with both pathway and cumulative burden models of hypertension.

Life-course socioeconomic position and obesity in African American Women: the Pitt County Study.

OBJECTIVES: We studied obesity in African American women in relationship to their socioeconomic position (SEP) in childhood and adulthood. METHODS: On the basis of parents' occupation, we classified 679 women in the Pitt County (North Carolina) Study into low and high childhood SEP. Women's education, occupation, employment status, and home ownership were used to classify them into low and high adulthood SEP. Four life-course SEP categories resulted: low childhood/low adulthood, low childhood/high adulthood, high childhood/low adulthood, and high childhood/high adulthood. RESULTS: The odds of obesity were twice as high among women from low versus high childhood SEP backgrounds, and 25% higher among women of low versus high adulthood SEP. Compared to that in women of high SEP in both childhood and adulthood, the odds of obesity doubled for low/low SEP women, were 55% higher for low/high SEP women, and were comparable for high/low SEP women. CONCLUSIONS: Socioeconomic deprivation in childhood was a strong predictor of adulthood obesity in this community sample of African American women. Findings are consistent with both critical period and cumulative burden models of life-course socioeconomic deprivation and long-term risk for obesity in African American women.

Racial and ethnic variations in knowledge and attitudes about genetic testing.

This study was designed to shed light on whether differences in utilization of genetic testing by African-Americans, Latinos, and non-Hispanic Whites are due primarily to different preferences, or whether they instead reflect other values and beliefs or differential access. It explores the values, attitudes, and beliefs of African-Americans, Latinos, and non-Hispanic Whites with respect to genetic testing by means of a telephone survey of representative samples of these three groups. The study finds clear evidence that Latinos and African-Americans are, if anything, more likely to express preferences for both prenatal and adult genetic testing than White respondents. At the same time, they hold other beliefs and attitudes that may conflict with, and override, these preferences in specific situations. African-Americans and Latinos are also less knowledgeable about genetic testing than non-Hispanic Whites, and they are less likely to have the financial resources or insurance coverage that would facilitate access to testing.