60 research outputs found

    Influence of Social and Health Indicators on Pain Interference With Everyday Activities Among Older Black and White Cancer Patients

    Get PDF
    OBJECTIVE: This prospective study aimed to determine the influence social and health factors have on pain interference with everyday activities among older patients receiving outpatient treatment services from a comprehensive cancer center. METHOD: Participants were surveyed on questions assessing pain interference, and social (communication), health (pain severity, comorbidities), behavioral (self-efficacy, affect), and demographic characteristics. Multivariate analyses were specified to examine determinants of pain interference, with items loading on separate cluster composites: physical interference and psychosocial interference. RESULTS: Pain severity was a significant indicator for physical interference. Similarly, pain severity, education, self-efficacy, negative affect, and communication were predictors of psychosocial interference. DISCUSSION: Factors defining the daily lived experiences of older adults are important in providing baseline information on functional status. This emphasizes the need to rigorously examine the association between pain, and clinical and psychosocial indicators, but more importantly indicators that contribute to the patient’s ability to perform normal everyday activities

    Age Differences in Cancer Treatment Decision Making and Social Support

    Get PDF
    Objective: The aim of this study was to examine the decision-making (DM) styles of younger (18-39 years), middle-aged (40-59 years), and older (≥60 years) cancer survivors, the type and role of social support, and patient satisfaction with cancer treatment DM. Method: Adult cancer survivors (N = 604) were surveyed using Qualtrics online software. Results: Older adults reported significantly lower influence of support on DM than younger adults. The most common DM style for the age groups was collaborative DM with their doctors. Younger age was a significant predictor of independent (p \u3c .05), collaborative with family (p \u3c .001), delegated to doctor (p \u3c .01), delegated to family (p \u3c .001), and demanding (p \u3c .001) DM styles. Discussion: Despite having lower received social support in cancer treatment DM, older adults were more satisfied with their DM than younger and middleaged adults. Health care workers should be aware of different DM styles and influence of social networks to help facilitate optimal patient DM and satisfaction

    Distributed Cognition in Cancer Treatment Decision Making: An Application of the DECIDE Decision-Making Styles Typology

    Get PDF
    Distributed cognition occurs when cognitive and affective schemas are shared between two or more people during interpersonal discussion. Although extant research focuses on distributed cognition in decision making between health care providers and patients, studies show that caregivers are also highly influential in the treatment decisions of patients. However, there are little empirical data describing how and when families exert influence. The current article addresses this gap by examining decisional support in the context of cancer randomized clinical trial (RCT) decision making. Data are drawn from in-depth interviews with rural, Appalachian cancer patients (N = 46). Analysis of transcript data yielded empirical support for four distinct models of health decision making. The implications of these findings for developing interventions to improve the quality of treatment decision making and overall well-being are discussed

    Distributed Cognition in Cancer Treatment Decision Making: An Application of the DECIDE Decision-Making Styles Typology

    Get PDF
    Distributed cognition occurs when cognitive and affective schemas are shared between two or more people during interpersonal discussion. Although extant research focuses on distributed cognition in decision making between health care providers and patients, studies show that caregivers are also highly influential in the treatment decisions of patients. However, there are little empirical data describing how and when families exert influence. The current article addresses this gap by examining decisional support in the context of cancer randomized clinical trial (RCT) decision making. Data are drawn from in-depth interviews with rural, Appalachian cancer patients (N = 46). Analysis of transcript data yielded empirical support for four distinct models of health decision making. The implications of these findings for developing interventions to improve the quality of treatment decision making and overall well-being are discussed

    Characterizing Community Health Workers on Research Teams: Results From the Centers for Population Health and Health Disparities

    Get PDF
    Objectives. To quantify the characteristics of community health workers (CHWs) involved in community intervention research and, in particular, to characterize their job titles, roles, and responsibilities; recruitment and compensation; and training and supervision

    The Conceptualization of Self-Identity among Residents of Appalachia Ohio

    Get PDF
    Social identity and its association to culture, place, and health is an important, but understudied, area of research. One social group that illustrates this connection between place and identity is people living in Appalachia. This exploratory mixed-method study investigates the appropriateness of the self-concept of Ohio Appalachian adults with cancer as “Appalachian,” the context associated with that identity and its association with community identification, rural identity, Appalachian Regional Commission (ARC) status, demographic data, and clinical trial (CT) enrollment. Forty-nine adults with cancer residing in Appalachia were recruited. Participants were cancer patients who (1) were offered a randomized clinical cancer trial; and (2) lived in or were treated in one of the thirty-two rural Appalachian counties in Ohio. Forty-seven percent of participants identified themselves as Appalachian and were reluctant to self-identify as Appalachian because of negative stereotypes or uncertainty about the term. Furthermore, many participants endorsed their residence within Appalachia but not their own identity. Future studies should utilize a culturally grounded approach and community-based methodology to explore how residents of Appalachian communities define their community and self-identification in order to improve health in the region
    • …
    corecore