891 resultados para self-care indicators


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This paper is a case study exploring the author’s use of reflective practice to facilitate the transition in role from a clinical manager with teaching responsibilities in a critical care unit to university lecturer. The similarities and differences in the roles with respect to learner characteristics, teaching contexts and effective teaching strategies are discussed. Brookfield’s model provides the methodological framework for the process of critically reflective practice undertaken to support and inform the transition. This case study describes a novice academic’s reflection through the four lenses of autobiography, the theoretical literature, student feedback and the perspectives of colleagues as she seeks to optimise student engagement and learning using the large lecture as the teaching and learning activity. The author suggests that the use of a framework such as Brookfield’s model that supports critical reflection may be of significant benefit to accelerate the personal and professional growth of new academic staff in their teaching practice.

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Background: Prostate cancer is the most common male cancer in developed countries and diagnosis and treatment carries with it substantial morbidity and related unmet supportive care needs. These difficulties may be amplified by physical inactivity and obesity. We propose to apply a multimodal intervention approach that targets both unmet supportive care needs and physical activity.

Methods/design: A two arm randomised controlled trial will compare usual care to a multimodal supportive care intervention “Living with Prostate Cancer” that will combine self-management with tele-based group peer support. A series of previously validated and reliable self-report measures will be administered to men at four time points: baseline/recruitment (when men are approximately 3-6 months post-diagnosis) and at 3, 6, and 12 months after recruitment and intervention commencement. Social constraints, social support, self-efficacy, group cohesion and therapeutic alliance will be included as potential moderators/mediators of intervention effect. Primary outcomes are unmet supportive care needs and physical activity levels. Secondary outcomes are domain-specific and healthrelated quality of life (QoL); psychological distress; benefit finding; body mass index and waist circumference. Disease variables (e.g. cancer grade, stage) will be assessed through medical and cancer registry records. An economic evaluation will be conducted alongside the randomised trial.

Discussion: This study will address a critical but as yet unanswered research question: to identify a populationbased way to reduce unmet supportive care needs; promote regular physical activity; and improve disease-specific and health-related QoL for prostate cancer survivors. The study will also determine the cost-effectiveness of the intervention.

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Children placed in out-of-home care are a particularly disadvantaged group in society, who have often been exposed to trauma and socioeconomic disadvantage. As a result, they experience poorer health outcomes than children in the general population, especially mental health outcomes. One health outcome that has yet to be researched thoroughly is overweight and obesity of children placed in out-of-home care. Hence, the overall goal of this paper was to review the extant literature over the last decade on weight-related issues for children in out-of-home care, with particular emphasis on overweight and obesity. The findings of the review revealed that there is a lack of rigorous Australian research in relation to prevalence rates of overweight and obesity in children in out-of-home care; there is a lack of strategies or interventions designed specifically to combat overweight and obesity in children in out-of-home care; and one of the major limitations of Australian research to date is the use of self-report measures to assess the weight status of children in out-of-home care. It was concluded that prevention and intervention strategies are needed that target children as they enter out-of-home care.

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Purpose of the Study: The aged care industry experiences high rates of staff turnover. Staff turnover has significant implications for the quality of care provided to care recipients and the financial costs to care agencies. In this study, we applied a model of intention to quit to identify the contextual and personal factors that shape aged care staff’s intention to quit.

Design and Methods:
A sample of 208 aged care staff, including nurses, personal care assistants, allied health professionals, and managers completed a self-report questionnaire. The questionnaire assessed intention to quit, organizational commitment, job satisfaction, self-esteem, stressors, stress, and supervisor support.

Results: The findings largely supported the model. Specifically, job commitment, job satisfaction, and work stressors directly influenced intentions to quit, although work stressors and supervisor support demonstrated numerous indirect associations on quitting intentions.

Implications: The findings suggest that aged care service providers can modify aged care workers’ intentions to quit by reducing job stressors and increasing supervisor support.

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Background
Lifestyle behaviours, such as healthy diet, physical activity and sedentary behaviour, are key elements of healthy ageing and important modifiable risk factors in the prevention of chronic diseases. Little is known about the relationship between these behaviours in older adults. The purpose of this study was to explore the relationship between fruit and vegetable (F&V) intake, leisure-time physical activity (LTPA) and sitting time (ST), and their association with self-rated health in older adults.

Methods
This cross-sectional study comprised 3,644 older adults (48% men) aged 55-65 years, who participated in the Wellbeing, Eating and Exercise for a Long Life ("WELL") study. Respondents completed a postal survey about their health and their eating and physical activity behaviours in 2010 (38% response rate). Spearman's coefficient (rho) was used to evaluate the relationship between F&V intake, LTPA and ST. Their individual and shared associations with self-rated health were examined using ordinal logistic regression models, stratified by sex and adjusted for confounders (BMI, smoking, long-term illness and socio-demographic characteristics).

Results
The correlations between F&V intake, LTPA and ST were low. F&V intake and LTPA were positively associated with self-rated health. Each additional serving of F&V or MET-hour of LTPA were associated with approximately 10% higher likelihood of reporting health as good or better among women and men. The association between ST and self-rated health was not significant in the multivariate analysis. A significant interaction was found (ST*F&V intake). The effect of F&V intake on self-rated health increased with increasing ST in women, whereas the effect decreased with increasing ST in men.

Conclusion
This study contributes to the scarce literature related to lifestyle behaviours and their association with health indicators among older adults. The findings suggest that a modest increase in F&V intake, or LTPA could have a marked effect on the health of older adults. Further research is needed to fully understand the correlates and determinants of lifestyle behaviours, particularly sitting time, in this age group.

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Background
The benefit of self-monitoring of blood glucose (SMBG) in people with type 2 diabetes on diet or oral agents other than sulphonylureas remains uncertain. Trials of interventions incorporating education about self-monitoring of blood glucose have reported mixed results. A recent systematic review concluded that SMBG was not cost-effective. However, what was unclear was whether a cheaper method of self-monitoring (such as urine glucose monitoring) could produce comparable benefit and patient acceptability for less cost.

Methods/Design
The DESMOND SMBG trial is comparing two monitoring strategies (blood glucose monitoring and urine testing) over 18 months when incorporated into a comprehensive self-management structured education programme. It is a multi-site cluster randomised controlled trial, conducted across 8 sites (7 primary care trusts) in England, UK involving individuals with newly diagnosed Type 2 diabetes.

The trial has 80% power to demonstrate equivalence in mean HbA1c (the primary end-point) at 18 months of within ± 0.5% assuming 20% drop out and 20% non-consent. Secondary end-points include blood pressure, lipids, body weight and psychosocial measures as well as a qualitative sub-study.

Practices were randomised to one of two arms: participants attend a DESMOND programme incorporating a module on self-monitoring of either urine or blood glucose. The programme is delivered by accredited educators who received specific training about equipoise. Biomedical data are collected and psychosocial scales completed at baseline, and 6, 12, and 18 months post programme. Qualitative research with participants and educators will explore views and experiences of the trial and preferences for methods of monitoring.

Discussion
The DESMOND SMBG trial is designed to provide evidence to inform the debate about the value of self-monitoring of blood glucose in people with newly diagnosed type 2 diabetes. Strengths include a setting in primary care, a cluster design, a health economic analysis, a comparison of different methods of monitoring while controlling for other components of training within the context of a quality assured structured education programme and a qualitative sub-study.

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Background Medication side effects are an important cause of morbidity, mortality and costs in older people. The aim of our study was to examine prevalence and risk factors for self-reported medication side effects in an older cohort living independently in the community.

Methods The Melbourne Longitudinal Study on Healthy Ageing (MELSHA), collected information on those aged 65 years or older living independently in the community and commenced in 1994. Data on medication side effects was collected from the baseline cohort (n = 1000) in face-to-face baseline interviews in 1994 and analysed as cross-sectional data. Risk factors examined were: socio-demographics, health status and medical conditions; medication use and health service factors. Analysis included univariate logistic regression to estimate unadjusted risk and multivariate logistic regression analysis to assess confounding and estimate adjusted risk.

Results Self-reported medication side effects were reported by approximately 6.7% (67/1000) of the entire baseline MELSHA cohort, and by 8.5% (65/761) of those on medication. Identified risk factors were increased education level, co-morbidities and health service factors including recency of visiting the pharmacist, attending younger doctors, and their doctor's awareness of their medications. The greatest increase in risk for medication side effects was associated with liver problems and their doctor's awareness of their medications. Aging and gender were not risk factors.

Conclusion Prevalence of self-reported medication side effects was comparable with that reported in adults attending General Practices in a primary care setting in Australia. The prevalence and identified risk factors provide further insight and opportunity to develop strategies to address the problem of medication side effects in older people living independently in the community setting.

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Purpose: To estimate the prevalence of visual impairment, eye disease and eye care in the Alaska Native (AN) population, by demographic and socioeconomic factors.

Methods: Population-based cross-sectional study of 3,793 AN adults aged 18–94 years enrolled in the Education and Research Towards Health (EARTH) Study from March 2004–March 2006. Data on self-reported visual impairment, cataract, glaucoma, diabetic eye disease and previous dilated eye examinations were collected using audio computer-assisted self-administered questionnaires.

Results: The unadjusted prevalence of self-reported visual impairment was 8.7% (95% confidence interval (CI): 7.9–9.7), cataract 5.9% (95% CI: 5.2–6.7), glaucoma 2.5% (95% CI: 2.0–3.0) and diabetic eye disease 1.3% (95% CI: 0.9–1.7). In all cases, age-sex adjusted prevalence estimates for the AN population were greater than available estimates for the general U.S. population. Prevalence of visual impairment and each eye disease increased with age (P < 0.01). Additional factors associated with visual impairment were education and annual household income. Overall, 70.0% (95% CI: 68.5–71.6) of participants reported a dilated eye examination within the previous two years. Dilated eye examination within the previous two years was associated with increasing age (P < 0.001). However, men and participants with lower formal education were less likely to report recent dilated eye examination. Among those with diabetes, only 67.7% (95% CI: 60.8–74.1) reported a dilated eye examination within the recommended previous one year.

Conclusions: Self-reported visual impairment, cataract, glaucoma and diabetic eye disease are prevalent in the AN population. These data may be useful in healthcare planning and education programs.

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Background
Error in self-reported measures of obesity has been frequently described, but the effect of self-reported error on recruitment into diabetes prevention programs is not well established. The aim of this study was to examine the effect of using self-reported obesity data from the Finnish diabetes risk score (FINDRISC) on recruitment into the Greater Green Triangle Diabetes Prevention Project (GGT DPP).

Methods
The GGT DPP was a structured group-based lifestyle modification program delivered in primary health care settings in South-Eastern Australia. Between 2004–05, 850 FINDRISC forms were collected during recruitment for the GGT DPP. Eligible individuals, at moderate to high risk of developing diabetes, were invited to undertake baseline tests, including anthropometric measurements performed by specially trained nurses. In addition to errors in calculating total risk scores, accuracy of self-reported data (height, weight, waist circumference (WC) and Body Mass Index (BMI)) from FINDRISCs was compared with baseline data, with impact on participation eligibility presented.

Results
Overall, calculation errors impacted on eligibility in 18 cases (2.1%). Of n = 279 GGT DPP participants with measured data, errors (total score calculation, BMI or WC) in self-report were found in n = 90 (32.3%). These errors were equally likely to result in under- or over-reported risk. Under-reporting was more common in those reporting lower risk scores (Spearman-rho = −0.226, p-value < 0.001). However, underestimation resulted in only 6% of individuals at high risk of diabetes being incorrectly categorised as moderate or low risk of diabetes.

Conclusions
Overall FINDRISC was found to be an effective tool to screen and recruit participants at moderate to high risk of diabetes, accurately categorising levels of overweight and obesity using self-report data. The results could be generalisable to other diabetes prevention programs using screening tools which include self-reported levels of obesity.

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This study was designed to evaluate the effectiveness of a training program to improve the knowledge, attitudes, and self-efficacy of palliative care staff and thus enable them to better detect and manage depression among palliative care patients and their families. Participants were 90 professional carers who completed a four-session training program. Knowledge, attitudes, self-efficacy, and barriers to working with depressed patients were assessed preintervention, post-intervention, and at a three-month follow-up. The results demonstrated that compared to the control group, the intervention group had improved in all of these areas. Improvements were maintained at the three-month follow-up in all areas except attitudes. The results of this study indicate the importance of training in managing depression among palliative care staff. Booster sessions will likely be needed to ensure that training program gains are maintained.

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Introduction: Clinical depression is highly prevalent yet underdetected and poorly managed within palliative care settings.

Objectives: This qualitative study explored the identification, monitoring, and management of symptoms of depression in patients receiving palliative care from 2 juxtaposed perspectives that are of care providers and care recipients' family members. Examining the barriers that restrict professional carers detecting and managing depression in their patients was a central focus of the study.

Methods: Focus groups were held with 18 professional carers, including 8 holding managerial positions, across 2 palliative care services, 1 regional and 1 metropolitan, which provided both inpatient and community-based care. Individual interviews were conducted with 10 family members of patients who had received or were receiving palliative care through these services.

Results: Thematic analysis of these data identified that both professional carers and family members perceived that depression is a wide-spread concern for patients receiving palliative care; however, numerous barriers were identified that affect professional carers’ ability to identify depression. These included knowledge and training deficits, low self-efficacy, prioritization of physical concerns and time constraints, patient/family characteristics, and system/process issues. These themes (and related subthemes) are discussed in this article.

Conclusions: Specialized training in depression is recommended for professional carers in order to improve their depression-related knowledge, detection skills, and self-efficacy. The ultimate goal of such training is to increase the rate of recognition of depression that in turn will lead to appropriate treatment for depressed patients.

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Objectives: 

To provide an in-depth analysis of outcome measures used in the evaluation of chronic disease self-management programs consistent with the Stanford curricula.

Methods:
Based on a systematic review on self-management programs, effect sizes derived from reported outcome measures are categorized according to the quality of life appraisal model developed by Schwartz and Rapkin which classifies outcomes from performance-based measures (e.g., clinical outcomes) to evaluation-based measures (e.g., emotional well-being).

Results:
The majority of outcomes assessed in self-management trials are based on evaluation-based methods. Overall, effects on knowledge—the only performance-based measure observed in selected trials—are generally medium to large. In contrast, substantially more inconsistent results are found for both perception- and evaluation-based measures that mostly range between nil and small positive effects.

Conclusions:
Effectiveness of self-management interventions and resulting recommendations for health policy makers are most frequently derived from highly variable evaluation-based measures, that is, types of outcomes that potentially carry a substantial amount of measurement error and/or bias such as response shift. Therefore, decisions regarding the value and efficacy of chronic disease self-management programs need to be interpreted with care. More research, especially qualitative studies, is needed to unravel cognitive processes and the role of response shift bias in the measurement of change.

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Aim: Identify staff knowledge about diabetes medicines and organisational factors that influence safe medicines use in two large Australian regional public RACs that comply with national accreditation standards.

Background: Diabetes management is complicated in residential aged care facilities (RAC). Managing medicines is complex, especially in older people. Little is known about diabetes-specific medicine knowledge of various care staff (registered nurses (RN), enrolled nurses (EN) and patient care attendants (PCA) working in RAC.

Methods: A triangulation of methods was used to collect the data: anonymous self-complete questionnaire (ADKnowl) staff interviews to clarify practice issues that could affect safe medicine use, and a case file audit to identify medicine-related data. Questionnaires were distributed to all RNs, ENs and PCAs in the two services via nursing management (N=540). The ADKnowl was supplemented with additional questions and vignettes derived from actual case notes in each RAC to assess translation of knowledge into practice. Only medicine related data are reported.

Results: Sixty-eight people returned completed questionnaires (12.5% response rate). Knowledge deficits were identified in administering oral hypoglycaemic agents and insulin, their action and potential adverse events. Most ENs and PCAs did not know why HbA1c was measured. Almost half the RNs and ENs and 80% of PCAs did not know how diabetes comorbidities affect medicine choices. RN achieved higher overall average knowledge scores,74.3%, compared to ENs and PCA, 49%. The interviews suggest lack of time, unclear communication processes, inadequate knowledge about medications and resident behaviour compromises optimal medicine administration. Twenty case files audits were undertaken in each RAC and revealed residents were taking on average nine medicines.

Conclusion: Staff involved in caring for residents with diabetes had suboptimal general and medicine-specific diabetes knowledge to deliver optimal care. System issues and unpredictable resident behaviours made medicine management difficult and compromised safety.