Although there is substantial evidence that cardiac rehabilitation is beneficial for post myocardial infarction (MI) patients, such programs are currently under utilized. This study examined systematic criteria predicting physician referral to and patients' participation in cardiac rehabilitation programs. Patients discharged for MI were interviewed in-hospital and at 6-12 weeks post discharge to determine referral, participation, and completion. Stepwise logistic regression analyzed factors associated with rehabilitation. Factors associated with referral to rehab were catheterization (p < 0.001), bypass surgery (p < 0.01), cardiologist/cardiac surgeon appointment (p < 0.02), and age (p < 0.01). Participation was increased for those with bypass surgery (p < 0.001), and referral to cardiologist or cardiac surgeon (p < 0.001). Type of provider significantly influences referral to and participation in cardiac rehabilitation. This suggests that encouragement plays a strong role in attendance for rehabilitation. The same strong encouragement should be given to the broader range of MI patients who stand to benefit from cardiac rehabilitation.

OBJECTIVE: To assess the influence of race and gender on the use of invasive procedures in patients with acute myocardial infarction (AMI) in community hospitals.DESIGN: Prospective, observational.SETTING: Five mid-Michigan community hospitals.PATIENTS: All patients (838) identified with AMI between January 1994 and April 1995 in 1 of these hospitals.MEASUREMENTS AND MAIN RESULTS: After adjusting for age, hospital of admission, insurance type, severity of AMI, and comorbidity, using white men as the reference group, the rate of being offered cardiac catheterization (CC) was 0.88 (95% confidence interval [CI], 0.60 to 1.29) for white women; 0.79 (95% CI, 0.41 to 1.50) for black men; and 1.14 (95% CI, 0.53 to 2.45) for black women. Among patients who underwent CC, after also adjusting for coronary artery anatomy, the rate of being offered angioplasty, using white men as the reference group, was 1.22 (95% CI, 0.75 to 1.98) for white women; 0.61 (95% CI, 0.29 to 1.28; P=.192) for black men; and 0.40 (95% CI, 0.14 to 1.13) for black women. The adjusted rate of being offered bypass surgery was 0.47 (95% CI, 0.24 to 0.89) for white women; 0.36 (95% CI, 0.12 to 1.06) for black men; and 0.37 (95% CI, 0.11 to 1.28) for black women.CONCLUSIONS: Our study shows that white women are less likely than white men to be offered bypass surgery after AMI. Although black men and women with AMI are less likely than white men to be offered percutaneous transluminal coronary angioplasty or coronary artery bypass grafting in both unadjusted and adjusted analyses, these findings did not reach statistical significance. Our study is limited in power due to the small number of blacks in the sample.

BACKGROUND:Previous studies documenting underutilization of angiotensin-converting enzyme inhibitors (ACEIs) in acute myocardial infarction (AMI) have been limited to Medicare populations. HYPOTHESIS:This study examines ACEI prescription rates and predictors in a community sample of hospitalized patients with AMI. METHODS:The charts of 1163 community patients with AMI, prospectively identified at admission between January 1, 1994, and April 30, 1995, were reviewed. RESULTS:Only 64 of 158 (40%) patients considered ideal candidates for ACEI prescription were discharged with a prescription for an ACEI. In a multivariate logistic regression model, prior ACEI utilization [adjusted odds ration (OR) = 3.26; 95% confidence interval (CI) = 2.05-5.20], presence of congestive heart failure (OR = 2.33; CI = 1.50-3.61) and black race (OR = 2.20; CI = 1.34-3.64) were identified as positive predictors of ACEI prescription. Conversely, lack of left ventricular ejection fraction (LVEF) measurement (OR = 0.46; CI = 0.28-0.75), LVEF > 40 ( OR = 0.27; CI = 0.18-0.40), and acute renal failure (OR = 0.08; CI = 0.01-0.44) were negative predictors. Women were also less likely to be discharged with an ACEI prescription (OR = 0.71; CI = 0.48-1.05). Furthermore, women were significantly less likely to have LVEF measured prior to discharge than were males (77 vs. 85%, p = 0.001). CONCLUSION:This study underscores the need for improvement in the utilization of ACEI in eligible patients with AMI. It also identifies opportunities for improvement in prescription rates, especially in women.

Patient participation in health care is widely advocated but little is known about the factors influencing patients' active participation. To learn whether attitudes and beliefs helped predict patient participation, 252 midlife women completed measures of self-efficacy, perceived barriers to participation, attitudes, subjective norms, and intentions following a decision to support intervention on menopause. Two months following the intervention, 63 women who had visited a health care provider returned questionnaires by mail regarding self-reported participation in the health care encounter and satisfaction with the decision about estrogen replacement therapy. The results were that self-efficacy (beta = .19; p < .05) significantly predicted intention to participate in the next health care encounter. Both patient intentions (beta = .40;p < .05) and perceived barriers (beta = -.27; p < .05) were significant predictors of self-reported participation. Active participation (beta = .42;p < .05) and attitude (beta =.25;p < .05) were associated with increased satisfaction with decision. Participation resulted in increased self-efficacy (beta = .30;p < .05). The conclusions were that midlife women who express more confidence in their ability to participate in their health care have greater intentions to participate. Women who experience fewer barriers to participation and have more intention to participate are more likely to report actively participating in a health care encounter, and self-reported participation and more positive attitudes toward participation are associated with greater satisfaction with decisions.

Utility assessment is required to estimate quality-adjusted life years, but is often avoided due to the cumbersome nature of elicitation techniques. The Health Activities and Limitations Index (HALex) offers a method of utility assessment using existing values from the National Health Interview Survey (NHIS) and a utility algorithm to derive preferences. The authors assessed the construct validity of the HALex by comparing derived values with directly assessed HALex utilities in patients post acute myocardial infarction (AMI). OLS regression was used to model the relationship between utilities and patient demographics, comorbidities, and treatment. The mean and median utility for patients (n = 160) was.57 (SD = 22) and.55 respectively, and was not statistically different from the mean [.57 (SD =.30)] and median (.58) for similar NHIS respondents (n = 46). Patients with a comorbidity index of three or less had mean utilities.13 higher than the mean utility for patients with an index of four or more. No relationship was found between patients' age, race, and income and their utilities. The HALex scoring algorithm is a promising means to obtain utilities, and provides a methodology to easily estimate utilities for patients, but is not without limitations.

BACKGROUND:Patient Decision Support (PDS) tools assist patients in using medical evidence to make choices consistent that are with their values and in using evidence about consequences of medical alternatives.OBJECTIVE:To evaluate a PDS intervention for perimenopausal hormone replacement therapy. We assessed the impact of the PDS on (1) consistency between the decision to take estrogen replacement therapy (ERT) or progesterone/estrogen replacement therapy (PERT) and the expected utility of treatment and (2) likelihood to take ERT and PERT pre- and postintervention.DESIGN:Content of the PDS was standardized. Randomized trial of three intensities of intervention: (1) brochure; (2) lecture/discussion; and (3) active decision support.SUBJECTS:Participants were perimenopausal community volunteers between the ages of 40 and 65 (n = 248).MEASURES:(1) Consistent with values (correlation between expected utility (EU) and likelihood of taking hormones); and (2) Likelihood to take hormone replacement therapy.RESULTS:(1) The brochure group was less consistent with the decision analytic model than the lecture/discussion and active decision support groups. (2) Influence on decisions: PDS tools increased the number of women certain about whether or not to take hormones. There were no differences among experimental groups. Of 99 women uncertain about ERT pre-PDS, 65% changed. Twenty-one (32%) decided against ERT and 44 (68%) decided for ERT. (3) More intensive interventions produced modest gains in a normative direction.CONCLUSIONS:PDSs using any of 3 formats reduce uncertainty and assist women to make informed decisions. Increased consistency with decision analytic models appears to be driven by better estimates of likelihood of outcomes.

The purpose of this study was to develop and test a decision support intervention (DSI) to assist women to make and act on informed decisions that are consistent with their values in the area of menopause and hormone replacement therapy (HRT). Mode and intensity of intervention were tested in midlife women (N = 248), randomly assigned to one of three intervention formats: written information only, guided discussion, or personalized decision exercise. Data were collected over 12 months. Knowledge, decisional conflict, satisfaction with health care provider, and self-efficacy improved following intervention and were maintained for 12 months for all groups. Women's adherence to their own plans over 12 months was 59% (exercise), 76% (calcium intake), and 89% (HRT). Carefully written information is effective in promoting knowledge, adherence, and satisfaction among well-educated, interested women. It was concluded that women can understand complex information, including tradeoffs regarding treatment options. Women will adhere to their own plans, suggesting that consumer rather than provider plans may be the more appropriate gold standard for measuring adherence.

Patient satisfaction measures have previously addressed satisfaction with medical care, satisfaction with providers, and satisfaction with outcomes, but not satisfaction with the health care decision itself. As patients become more involved in health care decisions, it is important to understand specific dynamics of the decision itself The Satisfaction with Decision (SWD) scale measures satisfaction with health care decisions. It was developed in the context of postmenopausal hormone-replacement therapy decisions The six-item scale has excellent reliability (Cronbach's alpha = 0.86). Discriminant validity, tested by performing principal- components analysis of items pooled from the SWD scale and two conceptually related measures, was good. Correlation of the SWD scale with measures of satisfaction with other aspects of the decision-making process showed the SWD scale was correlated most highly (0.64) with "decisional confidence," and least with "desire to participate in health care de cisions" and "satisfaction with provider " The SWD scale predicts decision certainty in this study. Use in an independent study showed that the SWD scale was correlated with the likelihood of patients' intentions to get a flu shot. Further investigation in relation to other health decisions will establish the utility of the SWD scale as an outcome measure Key words: patient satisfaction; medical decision making; decision support (Med Decis Making 1996;16:58-64)

This study describes the perceptions and practices related to menopause and hormone replacement therapy (HRT) elicited by semistructured interview and questionnaire with 55 African-American women in focus groups. Major findings were as follows: (a) Menopause was perceived as a natural transition related to aging; (b) psychological symptoms were viewed more negatively than vasomotor symptoms; (c) self care and help-seeking practices were identified; (d) HRT was perceived negatively primarily due to fear of cancer; and (e) books and other women were main sources of information regarding menopause. The implications of these findings for health assessment, teaching, dissemination of information, and decision making are discussed.

INTRODUCTION:In this study, low-income perimenopausal African-American women were surveyed to determine knowledge of menopause and hormone replacement therapy (HRT). METHODS:A 92-item survey assessed perceptions of menopause and health risks to identify preventive strategies in this population. The nonprobability sample of 197 African-American women typically had incomes of < $15,000, age 46-55, high school education or less. RESULTS:Major findings were that African-American women (1) experienced expected levels of occurrence of symptoms, but perceived them as not very bothersome, (2) had a knowledge deficit related to menopause and HRT, and (3) had expectations about menopause that underestimated their lifetime risk of heart disease. CONCLUSION:The lack of knowledge about menopause, HRT, and lifetime risks of heart disease suggests that low-income African-American women need better information for decision making about prevention. However, this sample knew the rank order of major health risks. Health information to the public and culturally relevant patient education are critical prerequisites to any preventive behavioral strategies in this population. Further research should identify culturally based expectations of disease risk and efficacy of prevention strategy to tailor messages to particular subpopulations.

The findings of a preliminary analysis of data from a study now being conducted to design and evaluate an educational intervention to aid women in becoming more effective decision-makers regarding menopause, self-care strategies, and hormone replacement therapy (HRT), indicate that the lack of attention to the symptoms and health effects of menopause has resulted in frustration and dissatisfaction among women health care consumers. Women in the menopausal years are not informed adequately nor empowered to participate in decision making around issues related to their own health. They do not have the information they want and they do not know where to get it.

Two hundred sixty-five women estimated the likelihood that they would take estrogen or estrogen plus progestin to alleviate menopausal symptoms when faced with hypothetical cases varying in degree of hot flashes and risk of osteoporosis and cancer. Clustering of their judgment policies revealed four groups of women with respect to their approach to this decision. These groups of women were significantly different from each other on educational level, perceived experience of stress, and attitudes toward menopause and use of medications. Willingness to take hormonal therapy across all cases was related to attitudes about, and knowledge of, menstruation, perceived stress, mother's experience with menstrual problems, severity of symptoms, and use of vitamins. While there have been previous attempts to cluster rater policies, the current study represents a novel attempt to understand the differences between people who appear to have different policies about a decision problem, in this case, whether or not to take hormone therapy to counter menopausal symptoms.

For perimenopausal women, an important decision is whether or not to use hormone replacement therapy (HRT). The decision is complex because HRT involves judgment in weighing gains and losses related to physiological risk. Gains involve relief of hot flashes and prevention of osteoporosis; losses include cancer mortality and side effects of medication. A policy-capturing study of 283 perimenopausal women showed that the factor of most frequent concern was relief of hot flashes. Cluster analyses identified four major groups. Group 4 had an n of 9 and the lowest R2, making interpretation of data questionable. The largest group responded to hot flashes alone; the second to hot flashes and osteoporosis; and the third to hot flashes, somewhat to osteoporosis, but also to side effects of estrogen/progestin therapy. Results indicate nursing interventions should anticipate differences in women's concerns and tailor counseling appropriately.