62 resultados para Health care quality

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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Standard indicators of quality of care have been developed in the United States. Limited information exists about quality of care in countries with universal health care coverage.

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PURPOSE: To describe anticipated health-related quality of life (HRQL) for different hypothetical strategies of febrile neutropenia (FN) management in adult cancer patients. METHODS: Seventy-eight adult cancer patients were enrolled. Our study considered four different hypothetical treatment strategies for FN: (1) entire inpatient management with intravenous (IV) antibiotics; (2) oral treatment at home after an initial observation in hospital with IV antibiotics; (3) entire outpatient management with IV antibiotics; and (4) entire outpatient management with oral antibiotics. Initially, patients were asked to rank the different treatment strategies for FN based on their personal preference. Subsequently, HRQL was rated using visual analog scale (VAS), time trade-off (TTO), and willingness-to-pay (WTP). RESULTS: Seventy-five percent of all respondents preferred an outpatient strategy for FN (36% oral, 21% intravenous, 18% early discharge). Further, outpatient strategies were associated with higher mean VAS scores (possible range 0-10) (oral: 6.1 (standard deviation (SD) 3.1); intravenous: 6.2 (SD 2.2); early discharge: 5.7 (SD 2.1)) as compared to inpatient care (5.3 (SD 2.9)). On the aggregate level, patients were willing to give up between 9 and 10 weeks of their life (TTO; corresponding to <1% of remaining life expectancy) and to pay between $255 and $327 Canadian dollars (WTP) to avoid treatment in hospital. CONCLUSIONS: Our study indicates that the majority of adult cancer patients would prefer an outpatient strategy for FN. However, patients' preferences vary substantially at the individual level. Implementation of outpatient strategies into routine clinical practice should consider this variability.

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BACKGROUND: The inclusion of grey literature (i.e. literature that has not been formally published) in systematic reviews may help to overcome some of the problems of publication bias, which can arise due to the selective availability of data. OBJECTIVES: To review systematically research studies, which have investigated the impact of grey literature in meta-analyses of randomized trials of health care interventions. SEARCH STRATEGY: We searched the Cochrane Methodology Register (The Cochrane Library Issue 3, 2005), MEDLINE (1966 to 20 May 2005), the Science Citation Index (June 2005) and contacted researchers who may have carried out relevant studies. SELECTION CRITERIA: A study was considered eligible for this review if it compared the effect of the inclusion and exclusion of grey literature on the results of a cohort of meta-analyses of randomized trials. DATA COLLECTION AND ANALYSIS: Data were extracted from each report independently by two reviewers. The main outcome measure was an estimate of the impact of trials from the grey literature on the pooled effect estimates of the meta-analyses. Information was also collected on the area of health care, the number of meta-analyses, the number of trials, the number of trial participants, the year of publication of the trials, the language and country of publication of the trials, the number and type of grey and published literature, and methodological quality. MAIN RESULTS: Five studies met the inclusion criteria. All five studies showed that published trials showed an overall greater treatment effect than grey trials. This difference was statistically significant in one of the five studies. Data could be combined for three of the five studies. This showed that, on average, published trials showed a 9% greater treatment effect than grey trials (ratio of odds ratios for grey versus published trials 1.09; 95% CI 1.03-1.16). Overall there were more published trials included in the meta-analyses than grey trials (median 224 (IQR 108-365) versus 45(IQR 40-102)). Published trials had more participants on average. The most common types of grey literature were abstracts (55%) and unpublished data (30%). There is limited evidence to show whether grey trials are of poorer methodological quality than published trials. AUTHORS' CONCLUSIONS: This review shows that published trials tend to be larger and show an overall greater treatment effect than grey trials. This has important implications for reviewers who need to ensure they identify grey trials, in order to minimise the risk of introducing bias into their review.

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BACKGROUND: There is little evidence on differences across health care systems in choice and outcome of the treatment of chronic low back pain (CLBP) with spinal surgery and conservative treatment as the main options. At least six randomised controlled trials comparing these two options have been performed; they show conflicting results without clear-cut evidence for superior effectiveness of any of the evaluated interventions and could not address whether treatment effect varied across patient subgroups. Cost-utility analyses display inconsistent results when comparing surgical and conservative treatment of CLBP. Due to its higher feasibility, we chose to conduct a prospective observational cohort study. METHODS: This study aims to examine if1. Differences across health care systems result in different treatment outcomes of surgical and conservative treatment of CLBP2. Patient characteristics (work-related, psychological factors, etc.) and co-interventions (physiotherapy, cognitive behavioural therapy, return-to-work programs, etc.) modify the outcome of treatment for CLBP3. Cost-utility in terms of quality-adjusted life years differs between surgical and conservative treatment of CLBP.This study will recruit 1000 patients from orthopaedic spine units, rehabilitation centres, and pain clinics in Switzerland and New Zealand. Effectiveness will be measured by the Oswestry Disability Index (ODI) at baseline and after six months. The change in ODI will be the primary endpoint of this study.Multiple linear regression models will be used, with the change in ODI from baseline to six months as the dependent variable and the type of health care system, type of treatment, patient characteristics, and co-interventions as independent variables. Interactions will be incorporated between type of treatment and different co-interventions and patient characteristics. Cost-utility will be measured with an index based on EQol-5D in combination with cost data. CONCLUSION: This study will provide evidence if differences across health care systems in the outcome of treatment of CLBP exist. It will classify patients with CLBP into different clinical subgroups and help to identify specific target groups who might benefit from specific surgical or conservative interventions. Furthermore, cost-utility differences will be identified for different groups of patients with CLBP. Main results of this study should be replicated in future studies on CLBP.

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Background: Evaluation of health-related quality of life (HRQL) is important in improving the quality of patient care. The aim of this study was to determine the psychometric properties of the HeartQoL in patients with ischemic heart disease (IHD), specifically angina, myocardial infarction (MI), or ischemic heart failure. Methods: Data for the interim validation of the HeartQoL questionnaire were collected in (a) a cross-sectional survey and (b) a prospective substudy of patients undergoing either a percutaneous coronary intervention (PCI) or referred to cardiac rehabilitation (CR) and were then analyzed to determine the reliability, validity, and responsiveness of the HeartQoL questionnaire. Results: We enrolled 6384 patients (angina, n = 2111, 33.1%; MI, n = 2351, 36.8%; heart failure, n = 1922, 30.1%) across 22 countries speaking 15 languages in the cross-sectional study and 730 patients with IHD in the prospective substudy. The HeartQoL questionnaire comprises 14-items with physical and emotional subscales and a global score (range 0–3 (poor to better HRQL). Cronbach’s α was consistently ≥0.80; convergent validity correlations between similar HeartQoL and SF-36 subscales were significant (r ≥ 0.60, p < 0.001); discriminative validity was confirmed with predictor variables: health transition, anxiety, depression, and functional status. HeartQoL score changes following either PCI or CR were significant (p < 0.001) with effect sizes ranging from 0.37–0.64. Conclusion: The HeartQoL questionnaire is reliable, valid, and responsive to change allowing clinicians and researchers to (a) assess baseline HRQL, (b) make between-diagnosis comparisons of HRQL, and (c) evaluate change in HRQL in patients with angina, MI, or heart failure with a single IHD-specific HRQL instrument.

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Background: Evaluation of health-related quality of life (HRQL) is important in improving the quality of patient care. Methods: The HeartQoL Project, with cross-sectional and longitudinal phases, was designed to develop a core ischemic heart disease (IHD) specific HRQL questionnaire, to be called the HeartQoL, for patients with angina, myocardial infarction (MI), or ischemic heart failure. Patients completed a battery of questionnaires and Mokken scaling analysis was used to identify items in the HeartQoL questionnaire. Results: We enrolled 6384 patients (angina, n = 2111, 33.1%; MI, n = 2351, 36.8%; heart failure, n = 1922, 30.1%) across 22 countries and 15 languages. The HeartQoL questionnaire comprises 14-items with 10-item physical and 4-item emotional subscales which are scored from 0 (poor HRQL) to 3 (better HRQL) with a global score if needed. The mean baseline HeartQoL global score was 2.2 (±0.5) in the total group and was different (p < 0.001) by diagnosis (MI, 2.4 ± 0.5; angina, 2.2 ± 0.6; and heart failure, 2.1 ± 0.6). Conclusion: The HeartQoL questionnaire, with global and subscale scores, has the potential to allow clinicians and researchers to (a) assess baseline HRQL, (b) make between-diagnosis comparisons of HRQL, and (c) evaluate change in HRQL in patients with angina, MI, or heart failure with a single IHD-specific HRQL instrument.

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PURPOSE Childhood cancer and its treatment may affect health-related quality of life (HRQoL) in childhood cancer survivors, but population-based studies in young survivors are scarce. We aimed to: (1) compare HRQoL between young survivors and population norms and (2) find factors that influence parent-reported HRQoL in survivors. METHODS As part of the Swiss Childhood Cancer Survivor Study, a questionnaire was mailed to parents of survivors aged 8-16 years, registered in the Swiss Childhood Cancer Registry, ≥5 years after diagnosis. We used the KIDSCREEN-27 instrument to compare self- and parent-reported HRQoL between survivors (N = 425) and standardized norms in the five dimensions of physical well-being, psychological well-being, autonomy, peers and school environment (mean = 50, SD = 10). We then used multivariable linear regressions to test the influence of socio-demographic and cancer-related factors on HRQoL. RESULTS Self-reported physical well-being was comparable to norms. Other HRQoL dimensions were higher than norms, with the highest mean = 52.2 (p < 0.001) for school environment. Parent-reported HRQoL in survivors was comparable to population norms; only physical well-being was lower (mean = 47.1, p < 0.001), and school environment was higher (mean = 51.1, p = 0.035). Parent-reported HRQoL was lower for survivors of CNS tumors (physical well-being: β = -5.27, p = 0.007; psychological well-being: β = -4.39, p = 0.044; peers β = -5.17, p = 0.028), survivors of neuroblastoma (psychological well-being β = -5.20, p = 0.047), and survivors who had had a relapse (physical well-being β = -5.41, p = 0.005). CONCLUSIONS Assessing HRQoL during follow-up care, with a focus on physical well-being, specific diagnoses (e.g., CNS tumor) and late complications (e.g., relapse) might help to early identify problems and offer support to survivors with reduced HRQoL.

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Background To assess the criterion and construct validity of the KIDSCREEN-10 well-being and health-related quality of life (HRQoL) score, a short version of the KIDSCREEN-52 and KIDSCREEN-27 instruments. Methods The child self-report and parent report versions of the KIDSCREEN-10 were tested in a sample of 22,830 European children and adolescents aged 8–18 and their parents (n = 16,237). Correlation with the KIDSCREEN-52 and associations with other generic HRQoL measures, physical and mental health, and socioeconomic status were examined. Score differences by age, gender, and country were investigated. Results Correlations between the 10-item KIDSCREEN score and KIDSCREEN-52 scales ranged from r = 0.24 to 0.72 (r = 0.27–0.72) for the self-report version (proxy-report version). Coefficients below r = 0.5 were observed for the KIDSCREEN-52 dimensions Financial Resources and Being Bullied only. Cronbach alpha was 0.82 (0.78), test–retest reliability was ICC = 0.70 (0.67) for the self- (proxy-)report version. Correlations between other children self-completed HRQoL questionnaires and KIDSCREEN-10 ranged from r = 0.43 to r = 0.63 for the KIDSCREEN children self-report and r = 0.22–0.40 for the KIDSCREEN parent proxy report. Known group differences in HRQoL between physically/mentally healthy and ill children were observed in the KIDSCREEN-10 self and proxy scores. Associations with self-reported psychosomatic complaints were r = −0.52 (−0.36) for the KIDSCREEN-10 self-report (proxy-report). Statistically significant differences in KIDSCREEN-10 self and proxy scores were found by socioeconomic status, age, and gender. Conclusions Our results indicate that the KIDSCREEN-10 provides a valid measure of a general HRQoL factor in children and adolescents, but the instrument does not represent well most of the single dimensions of the original KIDSCREEN-52. Test–retest reliability was slightly below a priori defined thresholds.

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Psychological distress is common in patients with chronic heart failure. The impact of different psychological variables on prognosis has been shown but the comparative effects of these variables remain unclear. This study examines the impact of depression, anxiety, vital exhaustion, Type D personality, and social support on prognosis in chronic heart failure patients. One hundred eleven patients (mean age 57 ± 14 years) having participated in an exercise based ambulatory cardiac rehabilitation program were enrolled in a prospective cohort study. Psychological baseline data were assessed at program entry. Mortality, readmission, and health-related quality of life were assessed at follow up (mean 2.8 ± 1.1 years). After controlling for disease severity none of the psychological variables were associated with mortality, though severe anxiety predicted readmission [HR = 3.21 (95% CI, 1.04-9.93; P = .042)]. Health-related quality of life was independently explained by vital exhaustion, anxiety and either body mass index (physical dimension) or sex (emotional dimension). As psychological variables have a strong impact on health-related quality of life they should be routinely assessed in chronic heart failure patients` treatment.

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Objectives To compare the use of pair-wise meta-analysis methods to multiple treatment comparison (MTC) methods for evidence-based health-care evaluation to estimate the effectiveness and cost-effectiveness of alternative health-care interventions based on the available evidence. Methods Pair-wise meta-analysis and more complex evidence syntheses, incorporating an MTC component, are applied to three examples: 1) clinical effectiveness of interventions for preventing strokes in people with atrial fibrillation; 2) clinical and cost-effectiveness of using drug-eluting stents in percutaneous coronary intervention in patients with coronary artery disease; and 3) clinical and cost-effectiveness of using neuraminidase inhibitors in the treatment of influenza. We compare the two synthesis approaches with respect to the assumptions made, empirical estimates produced, and conclusions drawn. Results The difference between point estimates of effectiveness produced by the pair-wise and MTC approaches was generally unpredictable—sometimes agreeing closely whereas in other instances differing considerably. In all three examples, the MTC approach allowed the inclusion of randomized controlled trial evidence ignored in the pair-wise meta-analysis approach. This generally increased the precision of the effectiveness estimates from the MTC model. Conclusions The MTC approach to synthesis allows the evidence base on clinical effectiveness to be treated as a coherent whole, include more data, and sometimes relax the assumptions made in the pair-wise approaches. However, MTC models are necessarily more complex than those developed for pair-wise meta-analysis and thus could be seen as less transparent. Therefore, it is important that model details and the assumptions made are carefully reported alongside the results.

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Purpose Survivors of childhood cancer are at high risk of chronic conditions, but few studies investigated whether this translates into increased health care utilization. We compared health care service utilization between childhood cancer survivors and the general British population and investigated potential risk factors. Methods We used data from the British Childhood Cancer Survivor Study, a population-based cohort of 17,981 individuals diagnosed with childhood cancer (1940-1991) and surviving ≥ 5 years. Frequency of talks to a doctor, hospital outpatient visits, and day-patient and inpatient hospitalizations were ascertained by questionnaire in 10,483 survivors and were compared with the General Household Survey 2002 data by using logistic regression. Results Among survivors, 16.5% had talked to a doctor in the last 2 weeks, 25.5% had attended the outpatient department of a hospital in the last 3 months, 11.9% had been hospitalized as a day patient in the last 12 months, and 9.8% had been hospitalized as an inpatient in the last 12 months. Survivors had talked slightly more often to a doctor than the general population (odds ratio [OR], 1.2; 95% CI, 1.1 to 1.3) and experienced increased hospital outpatient visits (OR, 2.5; 95% CI, 2.3 to 2.8), day-patient hospitalizations (OR, 1.4; 95% CI, 1.3 to 1.6) and inpatient hospitalizations (OR, 1.9; 95% CI, 1.7 to 2.2). Survivors of Hodgkin's lymphoma, neuroblastoma, and Wilms tumor had the highest ORs for day-patient care, whereas survivors of CNS tumors and bone sarcomas had the highest OR for outpatient and inpatient care. The OR of health care use did not vary significantly with age of survivor. Conclusion We have quantified how excess morbidity experienced by survivors of childhood cancer translates into increased use of health care facilities.