27 research outputs found

    Сатира в публицистике. Специфика и жанровые особенности фельетона как предмет многочисленных споров исследователей

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    Анализируются спорные вопросы теории жанра фельетон в контексте специфики сатирической публицистики: с точки зрения меры художественного вымысла в фельетоне, наличия сатирического начала в нем и др. Формулируются факторы различия фельетона и сатирического рассказа.Аналізуються спірні питання теорії жанру фельєтона в контексті специфіки сатиричної публіцистики: з точки зору виміру художнього вимислу в фельєтоні, присутності сатиричного початку у ньому і т.д. Формулюються фактори розрізняння фельєтона та сатиричної оповіді

    Patient-centeredness and quality management in Dutch diabetes care organizations after a 1-year intervention

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    Background:  More focus on patient-centeredness in care for patients with type 2 diabetes requests increasing attention to diabetes quality management processes on patient-centeredness by managers in primary care groups and outpatient clinics. Although patient-centered care is ultimately determined by the quality of interactions between patients and clinicians at the practice level, it should be facilitated at organizational level too. This nationwide study aimed to assess the state of diabetes quality management on patient-centeredness at organizational level and its possibilities to improve after a tailored intervention. Methods:  This before-after study compares the quality management on patient-centeredness within Dutch diabetes care groups and outpatient clinics before and after a 1-year stepwise intervention. At baseline, managers of 51 diabetes primary care groups and 28 outpatient diabetes clinics completed a questionnaire about the organization's quality management program. Patient-centeredness (0%-100%) was operationalized in six subdomains: facilitating self-management support, individualized care plan support, patients' access to medical files, patient education policy, safeguarding patients' interests, and formal patient involvement. The intervention consisted of feedback and benchmark and if requested a telephone call and/or a consultancy visit. After 1 year, the managers completed the questionnaire again. The 1-year changes were examined by dependent (non) parametric tests. Results:  Care groups improved significantly on patient-centeredness (from 47.1% to 53.3%; P=0.002), and on its subdomains "access to medical files" (from 42.0% to 49.4%), and "safeguarding patients' interests" (from 58.1% to 66.2%). Outpatient clinics, which scored higher at baseline (66.7%) than care groups, did not improve on patient-centeredness (65.6%: P=0.54) or its subdomains. "Formal patient involvement" remained low in both care groups (23.2%) and outpatient clinics (33.9%). Conclusion:  After a simple intervention, care groups significantly improved their quality management on patient-centeredness, but outpatient clinics did not. Interventions to improve quality management on patient-centeredness in diabetes care organizations should differ between primary and secondary care

    Three years follow-up of screen-detected diabetic and non-diabetic subjects: who is better off? The ADDITION Netherlands study

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    Abstract Background People with non-diabetic hyperglycaemia might be at risk of lacking adequate control for cardiovascular risk factors. Our aim was to determine the extent of health care utilization and provision in primary care and to evaluate the risk of cardiovascular disease in persons with an elevated risk score in a stepwise diabetes screening programme. Methods A total of 56,978 non-diabetic patients, aged 50–70 years, from 79 practices in the Netherlands were invited to participate in a screening programme starting with a questionnaire. Those with an elevated score, underwent further glucose testing. Screened participants with type 2 diabetes (n = 64), impaired glucose tolerance (IGT) (n = 62), impaired fasting glucose (IFG) (n = 86), and normal glucose tolerance (NGT) (n = 142) were compared after three years regarding use of medication, care provider encounters and occurrence of CVD. Results In all glucose regulation categories cardiovascular medication was prescribed more frequently during follow-up with the strongest increase in diabetic patients. Number of practice visits was higher in diabetic patients compared to those in the other categories. Glucose, lipids, and blood pressure were measured most frequently in diabetic patients. Numbers of cardiovascular events in participants with NGT, IFG, IGT and diabetes were 16.7, 32.6, 17.3 and 15.7 per 1,000 person-years (non significant), respectively. Conclusion After three years of follow-up, screened non-diabetic participants with an elevated risk score had cardiovascular event rates comparable with diabetic patients. Screened non-diabetic persons are at risk of lacking optimal control for cardiovascular risk factors while screen-detected diabetic patients were controlled adequately.</p

    Psychological interventions for diabetes-related distress in adults with type 2 diabetes mellitus

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    BACKGROUND: Many adults with type 2 diabetes mellitus (T2DM) experience a psychosocial burden and mental health problems associated with the disease. Diabetes-related distress (DRD) has distinct effects on self-care behaviours and disease control. Improving DRD in adults with T2DM could enhance psychological well-being, health-related quality of life, self-care abilities and disease control, also reducing depressive symptoms. OBJECTIVES: To assess the effects of psychological interventions for diabetes-related distress in adults with T2DM. SEARCH METHODS: We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, CINAHL, BASE, WHO ICTRP Search Portal and ClinicalTrials.gov. The date of the last search was December 2014 for BASE and 21 September 2016 for all other databases. SELECTION CRITERIA: We included randomised controlled trials (RCTs) on the effects of psychological interventions for DRD in adults (18 years and older) with T2DM. We included trials if they compared different psychological interventions or compared a psychological intervention with usual care. Primary outcomes were DRD, health-related quality of life (HRQoL) and adverse events. Secondary outcomes were self-efficacy, glycosylated haemoglobin A1c (HbA1c), blood pressure, diabetes-related complications, all-cause mortality and socioeconomic effects. DATA COLLECTION AND ANALYSIS: Two review authors independently identified publications for inclusion and extracted data. We classified interventions according to their focus on emotion, cognition or emotion-cognition. We performed random-effects meta-analyses to compute overall estimates. MAIN RESULTS: We identified 30 RCTs with 9177 participants. Sixteen trials were parallel two-arm RCTs, and seven were three-arm parallel trials. There were also seven cluster-randomised trials: two had four arms, and the remaining five had two arms. The median duration of the intervention was six months (range 1 week to 24 months), and the median follow-up period was 12 months (range 0 to 12 months). The trials included a wide spectrum of interventions and were both individual- and group-based.A meta-analysis of all psychological interventions combined versus usual care showed no firm effect on DRD (standardised mean difference (SMD) -0.07; 95% CI -0.16 to 0.03; P = 0.17; 3315 participants; 12 trials; low-quality evidence), HRQoL (SMD 0.01; 95% CI -0.09 to 0.11; P = 0.87; 1932 participants; 5 trials; low-quality evidence), all-cause mortality (11 per 1000 versus 11 per 1000; risk ratio (RR) 1.01; 95% CI 0.17 to 6.03; P = 0.99; 1376 participants; 3 trials; low-quality evidence) or adverse events (17 per 1000 versus 41 per 1000; RR 2.40; 95% CI 0.78 to 7.39; P = 0.13; 438 participants; 3 trials; low-quality evidence). We saw small beneficial effects on self-efficacy and HbA1c at medium-term follow-up (6 to 12 months): on self-efficacy the SMD was 0.15 (95% CI 0.00 to 0.30; P = 0.05; 2675 participants; 6 trials; low-quality evidence) in favour of psychological interventions; on HbA1c there was a mean difference (MD) of -0.14% (95% CI -0.27 to 0.00; P = 0.05; 3165 participants; 11 trials; low-quality evidence) in favour of psychological interventions. Our included trials did not report diabetes-related complications or socioeconomic effects.Many trials were small and were at high risk of bias for incomplete outcome data as well as possible performance and detection biases in the subjective questionnaire-based outcomes assessment, and some appeared to be at risk of selective reporting. There are four trials awaiting further classification. These are parallel RCTs with cognition-focused and emotion-cognition focused interventions. There are another 18 ongoing trials, likely focusing on emotion-cognition or cognition, assessing interventions such as diabetes self-management support, telephone-based cognitive behavioural therapy, stress management and a web application for problem solving in diabetes management. Most of these trials have a community setting and are based in the USA. AUTHORS' CONCLUSIONS: Low-quality evidence showed that none of the psychological interventions would improve DRD more than usual care. Low-quality evidence is available for improved self-efficacy and HbA1c after psychological interventions. This means that we are uncertain about the effects of psychological interventions on these outcomes. However, psychological interventions probably have no substantial adverse events compared to usual care. More high-quality research with emotion-focused programmes, in non-US and non-European settings and in low- and middle-income countries, is needed

    Psychological interventions for diabetes-related distress in adults with type 2 diabetes mellitus

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    Background: Many adults with type 2 diabetes mellitus (T2DM) experience a psychosocial burden and mental health problems associated with the disease. Diabetes‐related distress (DRD) has distinct effects on self‐care behaviours and disease control. Improving DRD in adults with T2DM could enhance psychological well‐being, health‐related quality of life, self‐care abilities and disease control, also reducing depressive symptoms. Objectives: To assess the effects of psychological interventions for diabetes‐related distress in adults with T2DM. Search methods: We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, CINAHL, BASE, WHO ICTRP Search Portal and ClinicalTrials.gov. The date of the last search was December 2014 for BASE and 21 September 2016 for all other databases. Selection criteria: We included randomised controlled trials (RCTs) on the effects of psychological interventions for DRD in adults (18 years and older) with T2DM. We included trials if they compared different psychological interventions or compared a psychological intervention with usual care. Primary outcomes were DRD, health‐related quality of life (HRQoL) and adverse events. Secondary outcomes were self‐efficacy, glycosylated haemoglobin A1c (HbA1c), blood pressure, diabetes‐related complications, all‐cause mortality and socioeconomic effects. Data collection and analysis: Two review authors independently identified publications for inclusion and extracted data. We classified interventions according to their focus on emotion, cognition or emotion‐cognition. We performed random‐effects meta‐analyses to compute overall estimates. Main results: We identified 30 RCTs with 9177 participants. Sixteen trials were parallel two‐arm RCTs, and seven were three‐arm parallel trials. There were also seven cluster‐randomised trials: two had four arms, and the remaining five had two arms. The median duration of the intervention was six months (range 1 week to 24 months), and the median follow‐up period was 12 months (range 0 to 12 months). The trials included a wide spectrum of interventions and were both individual‐ and group‐based. A meta‐analysis of all psychological interventions combined versus usual care showed no firm effect on DRD (standardised mean difference (SMD) ‐0.07; 95% CI ‐0.16 to 0.03; P = 0.17; 3315 participants; 12 trials; low‐quality evidence), HRQoL (SMD 0.01; 95% CI ‐0.09 to 0.11; P = 0.87; 1932 participants; 5 trials; low‐quality evidence), all‐cause mortality (11 per 1000 versus 11 per 1000; risk ratio (RR) 1.01; 95% CI 0.17 to 6.03; P = 0.99; 1376 participants; 3 trials; low‐quality evidence) or adverse events (17 per 1000 versus 41 per 1000; RR 2.40; 95% CI 0.78 to 7.39; P = 0.13; 438 participants; 3 trials; low‐quality evidence). We saw small beneficial effects on self‐efficacy and HbA1c at medium‐term follow‐up (6 to 12 months): on self‐efficacy the SMD was 0.15 (95% CI 0.00 to 0.30; P = 0.05; 2675 participants; 6 trials; low‐quality evidence) in favour of psychological interventions; on HbA1c there was a mean difference (MD) of ‐0.14% (95% CI ‐0.27 to 0.00; P = 0.05; 3165 participants; 11 trials; low‐quality evidence) in favour of psychological interventions. Our included trials did not report diabetes‐related complications or socioeconomic effects. Many trials were small and were at high risk of bias for incomplete outcome data as well as possible performance and detection biases in the subjective questionnaire‐based outcomes assessment, and some appeared to be at risk of selective reporting. There are four trials awaiting further classification. These are parallel RCTs with cognition‐focused and emotion‐cognition focused interventions. There are another 18 ongoing trials, likely focusing on emotion‐cognition or cognition, assessing interventions such as diabetes self‐management support, telephone‐based cognitive behavioural therapy, stress management and a web application for problem solving in diabetes management. Most of these trials have a community setting and are based in the USA. Authors' conclusions: Low‐quality evidence showed that none of the psychological interventions would improve DRD more than usual care. Low‐quality evidence is available for improved self‐efficacy and HbA1c after psychological interventions. This means that we are uncertain about the effects of psychological interventions on these outcomes. However, psychological interventions probably have no substantial adverse events compared to usual care. More high‐quality research with emotion‐focused programmes, in non‐US and non‐European settings and in low‐ and middle‐income countries, is needed

    Internet-based Self-Management Support for Patients With Well-Controlled Type 2 Diabetes : A Real-Life Study

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    BACKGROUND: Little attention has been paid to self-management support of patients with well-controlled type 2 diabetes mellitus (T2DM). Most studies evaluated the addition of self-management support to regular diabetes care, but self-management as an alternative for part of regular diabetes care has hardly been studied. In this study, we offered patients with well-controlled T2DM the opportunity to perform the 3 quarterly monitoring sessions at home using an Internet-based self-management program, resulting in online personalized advice. OBJECTIVE: The aim of our study was to assess the reach and feasibility of an Internet-based diabetes self-management support program for patients with well-controlled T2DM, addressing both primary care providers' (PCPs) opinions and patients' willingness to participate in such a support program. METHODS: PCPs assessed patients' eligibility for Internet-based self-management, and patients were offered the opportunity to participate. Characteristics of eligible and ineligible patients were compared, as well as those of participants and nonparticipants, also with regard to quality of life, treatment satisfaction, and illness perceptions. Multivariate logistic regression models were performed and odds ratios (ORs) calculated with 95% CIs. RESULTS: Almost half (128/282, 45.4%) of the patients with well-controlled T2DM were considered ineligible by their PCPs mainly because of cognitive impairment and language barriers (8.2% and 8.9%). Older patients (OR for each year 1.06, 95% CI 1.03-1.09, P<.001), non-Western European patients (OR 3.64, 95% CI 1.67-7.92, P=.001), and patients with a longer diabetes duration (OR for each year 1.56, 95% CI 1.04-2.34, P=.03) were more often regarded as ineligible. Of the 154 patients considered eligible, 57 (37.0%) consented to participate and 30 (10.6%) started the program. Of 57 participants, 45 returned the 3 questionnaires; 21 of 97 nonparticipants returned the questionnaires. Nonparticipants less often thought that their disease would last their entire life (median 8.0 vs 10.0, P=.03) and they were more satisfied with their current treatment than participants (DTSQ total score 44.0 vs 40.0, P=.05). There was no significant difference in quality of life between the 2 groups. CONCLUSIONS: PCPs considered half of their patients with well-controlled T2DM incapable of Internet-based self-management mainly because of cognitive impairment and language barriers; of the selected patients, about 1 out of 3 was willing to participate. Older patients, non-Western European patients, and patients with a higher BMI were less likely to participate. Predominantly, practical issues (such as Internet problems) hindered implementation of the Internet-based self-management program

    Patient activation in individuals with type 2 diabetes mellitus: associated factors and the role of insulin

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    Aim: This study explored the relationship between insulin use and patient activation (a person's internal readiness and capabilities to undertake health-promoting actions) in individuals with type 2 diabetes mellitus and aimed to identify demographic, clinical and psychosocial factors involved in patient activation. Methods: In this cross-sectional study, baseline data from a Dutch nationwide study were analyzed. Patient activation was assessed with the Patient Activation Measure 13. A linear mixed model was used to take clustering into account. Results: In total, 1,189 persons were included (310 of whom were on insulin), enrolled via 47 general practices and six hospitals. Their mean Patient Activation Measure 13 score was 59±12. We found no association between insulin therapy and patient activation. In the multivariable analysis, individuals with a better health status, very good or very poor social support (vs good social support), individuals who felt they had greater control over their illness and those with a better subjective understanding of their illness showed higher patient activation. Individuals with a lower educational level and those who expected their illness to continue showed a lower activation level. Conclusion: Patient activation does not differ between individuals with type 2 diabetes mellitus on insulin therapy and those on other therapies
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