7 research outputs found

    Profiles of Health-Related Patient Activation and Their Determinants: The Results of a Cluster Analysis of Older Adults—Conclusions for Patient Counselling

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    Health-related proactivity in older adults may significantly increase medication handling, adherence and patient safety. Deficiencies in training in critical characteristics and diversity of older patients may lead to medical errors in diagnosis and drug administration. This study investigated the profiles of health proactivity in older adults and the factors differentiating them, like sociodemographic factors, health status, visit characteristics, and patients’ visit-related expectations, actual experiences, and satisfaction with the visit. Before and after visits, 3391 patients aged 65–95 filled in two sets of questionnaires, that allowed to measure aforementioned factors. Three distinct proactivity profiles emerged from a cluster analysis: high (43%), medium (25%), and low proactivity (32%). Highly proactive patients had the highest expectations, but their visits provided better opportunities to meet them than in other groups. Higher proactivity was related to a longer attendance time, frequent contact with and easier access to the doctor, or a longer time spent with a patient. The findings highlight the need to detect and respond to patients’ expectations regarding psychosocial aspects of care, as well as to improve organizational aspects of care, in order to enhance health proactivity in older adults. The resulting good practice recommendations may significantly improve healthcare workers’ effectiveness in both primary and secondary care

    The role of gender in the active attitude toward treatment and health among older patients in primary health care—self-assessed health status and sociodemographic factors as moderators

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    Abstract Background Active attitude toward treatment and health (ATH) leads to improved cooperation and better health outcomes in patients. Supporting it in the population of older adults is a growing need in primary care. Recognising the role of gender, health and other sociodemographic factors can help to distinguish patients who need the most assistance in activation from general practitioners (GPs). The objective of the study was to investigate gender differences in ATH as well as the moderating role of self-assessed health (SAH) and selected sociodemographic factors (age, education, financial status, marital status). Methods A cross-sectional, multicentre study among 4936 primary care older patients (aged 50+) was conducted. The PRACTA-Attitude toward Treatment and Health questionnaire (PRACTA-ATH) was used to measure the cognitive, emotional (positive and negative affect), and motivational dimensions of ATH. Patients were approached before and after their visits in the primary health-care facilities randomly selected in Central Poland. Results Generalised linear models (GENLIN) revealed the main effects of gender, SAH, and sociodemographic characteristics, such as financial status, marital status and education. Interaction effects of gender and age (Wald’s χ2 = 24.767, p < 0.001 for ATH Global), as well as gender and SAH (Wald’s χ2 = 16.712, p < 0.002 for ATH Global) on ATH were found. The most assistance in regard to ATH was required by men aged 50–74 and men declaring good self-assessed health. Generally, women declared a more active attitude than men, showing more knowledge (M = 5.40, SD = 0.07 and M = 5.21, SD = 0.07, for women and men, respectively, p = 0.046), positive emotion (M = 5.55, SD = 0.06 and M = 5.33, SD =0.06, for women and men, respectively, p = 0.015) and motivation to be involved in their health issues (M = 5.71, SD = 0.07 and M = 5.39, SD = 0.07, for women and men, respectively, p = 0.001). The level of negative emotions related to health was not significantly different between genders (p = 0.971). Conclusions The need to create health promoting programmes taking account of particular gender differences in older adults emerges. In regard to clinical practice, building a sense of efficacy and individual responsibility for health, providing information about the means of health promotion and prevention, and recognising health-related cognitions, is recommended especially for men who feel well and are less advanced in age (50–74)

    Enhancing GPs’ competencies in communication and activation of the elderly: results from the PRACTA computer-based intervention study

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    Background: Demographic changes over the past decades call for the promotion of health and disease prevention for older patients, as well as strategies to enhance their independence, productivity, and quality of life. Objective: Our objective was to examine the effects of a computer-based educational intervention designed for general practitioners (GPs) to promote active aging. Methods: The Promoting Active Aging (PRACTA) study consisted of a baseline questionnaire, implementation of an intervention, and a follow-up questionnaire that was administered 1 month after the intervention. A total of 151 primary care facilities (response rate 151/767, 19.7%) and 503 GPs (response rate 503/996, 50.5%) agreed to participate in the baseline assessment. At the follow-up, 393 GPs filled in the questionnaires (response rate, 393/503, 78.1%), but not all of them took part in the intervention. The final study group of 225 GPs participated in 3 study conditions: e-learning (knowledge plus skills modelling, n=42), a pdf article (knowledge only, n=89), and control (no intervention, n=94). We measured the outcome as scores on the Patients Expectations Scale, Communication Scale, Attitude Toward Treatment and Health Scale, and Self-Efficacy Scale. Results: GPs participating in e-learning demonstrated a significant rise in their perception of older patients’ expectations for disease explanation (Wald χ2=19.7, P<.001) and in perception of motivational aspect of older patients’ attitude toward treatment and health (Wald χ2=8.9, P=.03) in comparison with both the control and pdf article groups. We observed additional between-group differences at the level of statistical trend. GPs participating in the pdf article intervention demonstrated a decline in self-assessed communication, both at the level of global scoring (Wald χ2=34.5, P<.001) and at the level of 20 of 26 specific behaviors (all P<.05). Factors moderating the effects of the intervention were the number of patients per GP and the facility’s organizational structure. Conclusions: Both methods were suitable, but in different areas and under different conditions. The key benefit of the pdf article intervention was raising doctors’ reflection on limitations in their communication skills, whereas e-learning was more effective in changing their perception of older patients’ proactive attitude, especially among GPs working in privately owned facilities and having a greater number of assigned patients. Although we did not achieve all expected effects of the PRACTA intervention, both its forms seem promising in terms of enhancing the competencies of doctors in communication with and activation of older patients
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