Anne G. Rosenfeld

Treatment-seeking delay among women with acute myocardial infarction: decision trajectories and their predictors.

Background:Womens delay in seeking treatment for acute myocardial infarction symptoms results in higher rates of mortality and morbidity for women. Objectives:To describe decision trajectories used by women when experiencing symptoms of acute myocardial infarction, and to identify predictors of the decision trajectory used by women with acute myocardial infarction. Methods:A cross-sectional, descriptive design was used. The nonprobability sample included 52 women hospitalized for acute myocardial infarction. To elicit descriptions of decision making, focused, semistructured interviews were used in this mixed-methods study. Predictors of decision trajectories were measured with standardized instruments among the same women. Narrative analysis was used to examine the stories from the qualitative data and to identify decision trajectory types. Discriminant analysis was used to predict trajectory type membership. Results:The median delay time was 4.25 hours. Most of the women used one of two trajectory types: knowing (defined as those women who knew almost immediately that they would seek help, n = 25) and managing (those women who man-agedan alternative hypothesisor minimized their symptoms, n = 23). Discriminant analysis correctly classified 71% (χ2 [4] = 11.2; n = 48; p = .02) of the cases into trajectory types on the basis of four predictor variables: social support, personal control, heart disease threat, and neuroticism. Discussion:Womens behaviors during the period between onset of acute myocardial infarction symptoms and treatment seeking can be categorized into a small number of patterns termed decision trajectories. A profile of sociostructural and intrapersonal factors with potential for predicting behavior in relation to future coronary events was developed.

Oregon's low in-hospital death rates: what determines where people die and satisfaction with decisions on place of death?

The dancing neurologist pleases me He sails the calm Aegean every Spring Like Sophocles, he contemplates the sea And treats our cares as a diminished thing. Such fancy footwork is a gracious gift To shift attentions locus to the feet And let the minds free concentration drift To this rhythmic swaying Ionic beat. In such a state, what relics from the past, What precious driftwood casually afloat Might rise to fevered consciousness at last Or slip into the gently rocking boat? What jealous gods or goddesses might seize The dancing neurologists reveries?Use and availability of beds in acute care hospitals have been confirmed to be the principal determining factors in location of death. Within that constraint, however, the availability of other res...

Preventing and Experiencing Ischemic Heart Disease as a Woman: State of the Science: A Scientific Statement From the American Heart Association.

The Institute of Medicine has defined sex as “the classification of living things, generally as male or female according to their reproductive organs and functions assigned by the chromosomal complement.”1 The term sex means biological differences between women and men, including chromosomes, sex organs, and hormonal contributions.2 Sex differences result from true biological differences in the structure and function of the cardiovascular systems of men and women. In contrast, gender differences ensue from a person’s self-representation, resulting in psychosocial roles and behaviors imposed by society; gender implies social roles, behaviors, and cultural norms. Gender differences play a role in the treatment of cardiovascular disease (CVD) and affect outcomes, but they are very different from sex differences that arise from the genetic differences between men and women. Sex differences are a result of a single chromosomal difference between men (XY) and women (XX). Gender, however, is a social construct that differentiates men from women in a society as they assume their social roles. Gender develops on the basis of cultural norms and is articulated through values, perceptions, psychosocial characteristics, and behaviors.1,3,4 Sex- and gender-specific science addresses how experiences of the same disease, for example, ischemic heart disease (IHD), are similar and different with respect to biological sex and gender. For instance, women tend to have smaller coronary arteries than men, and women have less obstructive IHD than men.5–7 However, gender differences, which are influenced by ethnicity, culture, and socioeconomic environment, are intimately involved in risk factors and risk behaviors (eg, psychosocial risk factors, physical inactivity [PI], cardiac rehabilitation participation, obesity, and tobacco use) that play a far greater role in outcomes among women with IHD than biological sex differences, given that 80% of heart disease is preventable. These differences affect the mechanism and expression of …

Symptom Clusters in Acute Myocardial Infarction: A Secondary Data Analysis

Background: Early recognition of acute myocardial infarction (AMI) symptoms and reduced time to treatment may reduce morbidity and mortality. People having AMI experience a constellation of symptoms, but the common constellations or clusters of symptoms have yet to be identified. Objectives: To identify clusters of symptoms that represent AMI. Methods: This was a secondary data analysis of nine descriptive, cross-sectional studies that included data from 1,073 people having AMI in the United States and England. Data were analyzed using latent class cluster analysis, an atheoretical method that uses only information contained in the data. Results: Five distinct clusters of symptoms were identified. Age, race, and sex were statistically significant in predicting cluster membership. None of the symptom clusters described in this analysis included all of the symptoms that are considered typical. In one cluster, subjects had only a moderate to low probability of experiencing any of the symptoms analyzed. Discussion: Symptoms of AMI occur in clusters, and these clusters vary among persons. None of the clusters identified in this study included all of the symptoms that are included typically as symptoms of AMI (chest discomfort, diaphoresis, shortness of breath, nausea, and lightheadedness). These AMI symptom clusters must be communicated clearly to the public in a way that will assist them in assessing their symptoms more efficiently and will guide their treatment-seeking behavior. Symptom clusters for AMI must also be communicated to the professional community in a way that will facilitate assessment and rapid intervention for AMI.

Heart-to-Heart: Promoting walking in rural women through motivational interviewing and group support

Background: Walking can significantly increase cardiorespiratory fitness and thereby reduce the incidence of heart disease in women. However, there is a paucity of research aimed at increasing walking in rural women, a high-risk group for heart disease and one for which exercise strategies may pose particular challenges. Purpose: This study tested Heart-to-Heart (HTH), a 12-week walking program, designed to increase fitness through walking in rural women. Heart-to-Heart integrated individual-oriented strategies, including motivational interviewing, and group-based strategies, including team building. Methods: Forty-six rural women were randomized to either HTH or a comparison group. The primary outcome of cardiorespiratory fitness and secondary outcomes of self-efficacy and social support were measured preintervention and postintervention. Group differences were analyzed with repeated-measures analysis of variance. Results: Women in HTH group had a greater improvement in cardiorespiratory fitness (P =.057) and in social support (P =.004) compared with women in the comparison group. Neither group of women experienced a change in exercise self-efficacy (P =.814). Conclusions: HTH was effective in improving cardiorespiratory fitness in a sample of rural women. Further research is needed to refine HTH and determine the optimal approach in rural women to increase their walking.

The association of pain with protein inflammatory biomarkers: a review of the literature.

Background:Pain is a key diagnostic criterion in many medical conditions. In the absence of self-reported pain, measurement of a proxy for pain, such as an inflammatory biomarker, could aid in diagnosis and disease management. Objectives:The aim was to determine if there is an association between inflammatory biomarkers and self-reported pain in individuals with medical conditions associated with the symptom of pain and to clarify whether inflammatory biomarkers might aid in the diagnostic process. Methods:An integrative literature review was conducted. PubMed, CINAHL, and Cochrane databases were searched for articles published between January 2000 and September 2012. Inclusion criteria were original research testing a relationship between inflammatory biomarkers and pain, pain measurement, laboratory measure of inflammatory biomarkers, and a prospective single-group experimental design or comparative nonrandomized or randomized design. Excluded were studies describing an association between inflammatory biomarkers and treatment, risk, and generation; pathophysiology; or genetic polymorphisms/transcripts. Ten studies meeting inclusion criteria were reviewed. Results:In most of the studies, baseline elevations in both proinflammatory and anti-inflammatory cytokines were reported in painful conditions compared with healthy controls. In half of the studies, higher levels of proinflammatory markers (C-reactive protein, tumor necrosis factor-alpha, interleukin-2 [IL-2], IL-6, IL-8, IL-10, and CD40 ligand) were associated with greater pain. Proinflammatory cytokines decreased after treatment for pain in only two studies. Discussion:The association between inflammatory markers varied in the direction and magnitude of expression, which may be explained by differences in designs and assays, disease condition and duration, variations in symptom severity, and timing of measurement. Elevation in anti-inflammatory cytokines in the presence of pain represents a homeostatic immune response. Further study is required to determine the value of cytokines as biomarkers of pain.

Sensitivity, Specificity, and Sex Differences in Symptoms Reported on the 13‐Item Acute Coronary Syndrome Checklist

Background Clinical symptoms are part of the risk stratification approaches used in the emergency department (ED) to evaluate patients with suspected acute coronary syndromes (ACS). The objective of this study was to determine the sensitivity, specificity, and predictive value of 13 symptoms for a discharge diagnosis of ACS in women and men. Methods and Results The sample included 736 patients admitted to 4 EDs with symptoms suggestive of ACS. Symptoms were assessed with the 13‐item validated ACS Symptom Checklist. Mixed‐effects logistic regression models were used to estimate sensitivity, specificity, and predictive value of each symptom for a diagnosis of ACS, adjusting for age, obesity, diabetes, and functional status. Patients were predominantly male (63%) and Caucasian (70.5%), with a mean age of 59.7±14.2 years. Chest pressure, chest discomfort, and chest pain demonstrated the highest sensitivity for ACS in both women (66%, 66%, and 67%) and men (63%, 69%, and 72%). Six symptoms were specific for a non‐ACS diagnosis in both women and men. The predictive value of shoulder (odds ratio [OR]=2.53; 95% CI=1.29 to 4.96) and arm pain (OR 2.15; 95% CI=1.10 to 4.20) in women was nearly twice that of men (OR=1.11; 95% CI=0.67 to 1.85 and OR=1.21; 95% CI=0.74 to 1.99). Shortness of breath (OR=0.49; 95% CI=0.30 to 0.79) predicted a non‐ACS diagnosis in men. Conclusions There were more similarities than differences in symptom predictors of ACS for women and men.

Rural women walking for health.

The purpose of this qualitative study is to describe rural womens barriers and motivators for participation in a walking program. Twenty rural women, ages 22 to 65, participated in a 12-week walking program. Data from field notes and focus groups were analyzed using qualitative content analysis. Data were inductively coded, codes were categorized into themes, and themes were classified as barriers or motivators to adopting a walking program. Three main barriers are identified: balancing family and self, chronic illness gets in the way of routine, and illness or injury breaks routine. Seven motivators are identified: being part of a group, group camaraderie, learning, pacesetter, seeing progress, energizing, and I am a walker. Women report that family responsibilities are a powerful and pervasive barrier. Motivators center on the importance of group interaction. This qualitative study increases our understanding of rural womens barriers and motivators to embarking on and sustaining a regular walking routine.

Symptom interpretation in women with diabetes and myocardial infarction: A qualitative study

Purpose The purpose of this study was to describe the role of diabetes in acute myocardial infarction (MI) symptom interpretation. Methods This is a secondary data analysis of a study of treatment-seeking delay in women with acute MI (N = 52). This study included a subsample of those with diabetes (n = 16). Women were interviewed while hospitalized with MI about their actions, thoughts, and feelings from symptom onset to entry into the health care system. Qualitative description was the method of analysis. Results Three major themes were identified in the qualitative data: diabetes and decision making, presenting symptoms, and symptom attribution. Not all women included information about diabetes in their story, but those who checked blood sugars generally found it to be elevated. Diabetes was a factor in decision making for more than half of the sample. Presenting symptoms were variable but raised hypotheses about shortness of breath as a common presenting symptom for women with diabetes and MI. The third theme, symptom attribution, revealed confusion as to the cause of symptoms. Conclusions These results provide insight into symptom interpretation in women with diabetes and MI. Women with diabetes should consider atypical symptoms such as shortness of breath, gastrointestinal symptoms, and fluctuating blood sugars as reasons to seek care. Education for women with diabetes should include action plans for how to recognize and respond to symptoms. More research on the influence of diabetes on MI symptom attribution and decision making is needed.

Sampling challenges in end-of-life research: Case-finding for family informants

BackgroundResearch on end-of-life care is hampered by challenges in accessing appropriate subjects for data collection. Although families of decedents are rich sources of research data, they are underutilized, most likely due to the access difficulties they present to investigators. ObjectivesTo describe case-finding strategies that can achieve a large and representative sample of family informants for research studies about end-of-life care. MethodsCase-finding strategies were developed and honed over the course of three epidemiological studies on end-of-life care. Family location information was culled from death certificates and a combination of public and commercial sources. ResultsThe researchers generated large random samples of study-eligible decedents and, using the case-finding strategies described, recruited family members of decedents as informants. By the third study, two-thirds of family members were located and interviewed within the narrow time frame of 2–5 months following the death of their loved one. DiscussionEpidemiological studies on end-of-life, using large random samples of decedents and their family members, are feasible when armed with an array of effective case finding strategies.