165 resultados para QUALITY OF HEALTH CARE


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Quality control in health care should be performed by health professionals. To do so they must define indicators, set up studies aimed at measuring and analyzing quality of care, and implement quality assurance programs in health care systems. The elements of a quality improvement program of this kind are described, with special emphasis on the contribution of epidemiology in this field.

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The aim of this paper is to measure and to correct for the potential incomparability of responses to the SHARE survey on health care responsiveness. A parametric approach based on the use of anchoring vignettes is applied to cross-sectional data (2006-2007) in eleven European countries. More than 7,000 respondents aged 50 years old and over were asked to assess the quality of health care responsiveness in three domains: waiting time for medical treatment, quality of the conditions in visited health facilities, and communication and involvement in decisions about the treatment. Our results suggest that there is reporting heterogeneity across countries and across individuals within countries, and the degree of heterogeneity varies with the health care domain. Although leading countries in terms of health care responsiveness remain among the most successful even after correction for reporting heterogeneity, one may acknowledge many shifts in the ranking of the other countries.

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BACKGROUND: 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.OBJECTIVE: To assess the quality of preventive care and care for cardiovascular risk factors in a country with universal health care coverage.DESIGN AND PARTICIPANTS: Retrospective cohort of a random sample of 1,002 patients aged 50-80 years followed for 2 years from all Swiss university primary care settings.MAIN MEASURES: We used indicators derived from RAND's Quality Assessment Tools. Each indicator was scored by dividing the number of episodes when recommended care was delivered by the number of times patients were eligible for indicators. Aggregate scores were calculated by taking into account the number of eligible patients for each indicator.KEY RESULTS: Overall, patients (44% women) received 69% of recommended preventive care, but rates differed by indicators. Indicators assessing annual blood pressure and weight measurements (both 95%) were more likely to be met than indicators assessing smoking cessation counseling (72%), breast (40%) and colon cancer screening (35%; all p < 0.001 for comparisons with blood pressure and weight measurements). Eighty-three percent of patients received the recommended care for cardiovascular risk factors, including > 75% for hypertension, dyslipidemia and diabetes. However, foot examination was performed only in 50% of patients with diabetes. Prevention indicators were more likely to be met in men (72.2% vs 65.3% in women, p < 0.001) and patients < 65 years (70.1% vs 68.0% in those a parts per thousand yen65 years, p = 0.047).CONCLUSIONS: Using standardized tools, these adults received 69% of recommended preventive care and 83% of care for cardiovascular risk factors in Switzerland, a country with universal coverage. Prevention indicator rates were lower for women and the elderly, and for cancer screening. Our study helps pave the way for targeted quality improvement initiatives and broader assessment of health care in Continental Europe.

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Cet article a été réalisé dans le but d'évaluer la qualité des soins fournie à une population âgée de 50 à 80 ans suivie dans 4 policliniques médicales universitaires de Suisse, à savoir Bâle, Zurich, Genève et Lausanne. Nous avons sélectionné 37 indicateurs de qualité qui ont été développés et préalablement évalués au Etats-Unis. Ces indicateurs ont été divisés en 2 sous-groupes distincts : les indicateurs de prévention et les indicateurs concernant les facteurs de risque cardiovasculaires.¦L'étude a inclus des patients âgés de 50 à 80 ans avec un suivi d'un minimum de 1 an par un médecin dans l'une des policliniques de Suisse. Nous avons limité notre étude à ce groupe d'âge, afin d'avoir une prévalence élevée de facteur de risque cardiovasculaire et plus d'indications à des tests de dépistages. Les dossiers médicaux des patients ont été sélectionnés selon un mode aléatoire en prenant 250 dossiers par centre.¦L'enjeu principal de cette étude était de déterminer le niveau de soins fournis en Suisse dans les policliniques médicales universitaires. Il a été également possible de mettre en évidence les secteurs de prévention pour lesquels le taux d'application est encore insuffisant. Nous avons par la même occasion comparé nos résultats à ceux obtenus aux Etats-Unis, sachant que ce pays a un système d'évaluation de la qualité des soins qui fournit chaque années des statistiques à ce sujet.¦Les résultats de notre étude montrent qu'en Suisse les adultes reçoivent 69% des mesures de prévention recommandées mais que ces taux diffèrent d'un indicateur à l'autre. Les indicateurs à propos de la tension artérielle et de la mesure du poids (les 2 95%) ont plus souvent été réalisés durant les consultations que les indicateurs concernant l'arrêt du tabagisme (72%), les cancers du sein (40%), du colon (35%) et la vaccination annuelle contre la grippe (35.2% chez les patients de >65 ans et 29.3% chez les patient de <65 ans avec une maladie chronique). 83% des patients reçoivent les mesures préventives concernant les facteurs de risque cardiovasculaire, avec >75% pour l'hypertension, le diabète et la dyslipidémie. Cependant, l'examen des pieds est effectué chez seulement 50% des patients présentant un diabète.¦De même, nous avons pu démontrer que les femmes (65.3%) et les personnes âgées de plus de 65 ans (68.0%) reçoivent moins de mesures préventives que les hommes (72.2%) et les personnes plus jeunes (70.1%).¦Ce travail de recherche a donc permis de mettre en évidence les domaines de la prévention encore insuffisamment proposés aux patients et de rendre attentif le personnel médical sur le fait qu'il existe en Suisse des groupes de personnes qui reçoivent moins de prévention que d'autres groupes. Dans le futur, l'accent devrait être d'avantage mis durant les études de médecine et lors de la formation post-graduée sur les mesures préventives pas assez exploitées en Suisse en particulier le dépistage des cancers et la vaccination annuelle contre la grippe.

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Specialisation in medicine requires multidisciplinary approaches, and hence coordination in collaborations of the different partners involved. These integrated approaches, sometimes called "disease management", fit particularly well to chronic diseases. Our institution introduced an integrated approach for taking care of the acute somatic hospitalisation of patients suffering from anorexia nervosa. Interfaces with the different partners were defined, specifying tasks, rights, and duties of each person, care givers or patients. This initiative allows now to identify any deviation occurring in the process of care or hole in the care system, so that it can be corrected and recurrence prevented. This model will be extended to other complex and multidisciplinary care processes and other services in our institution.

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PURPOSE: Low socioeconomic status is associated with higher prevalence of diabetes, worse outcomes, and worse quality of care. We explored the relationship between education, as a measure of socioeconomic status, and quality of care in the Swiss context. PATIENTS AND METHODS: Data were drawn from a population-based survey of 519 adults with diabetes during fall 2011 and summer 2012 in a canton of Switzerland. We assessed patients and diabetes characteristics. Eleven indicators of quality of care were considered (six of process and five of outcomes of care). After bivariate analyses, regression analyses adjusted for age, sex, and diabetic complications were performed to assess the relationship between education and quality of care. RESULTS: Of 11 quality-of-care indicators, three were significantly associated with education: funduscopy (patients with tertiary versus primary education were more likely to get the exam: odds ratio, 1.8; 95% confidence interval [CI], 1.004-3.3) and two indicators of health-related quality of life (patients with tertiary versus primary education reported better health-related quality of life: Audit of Diabetes-Dependent Quality of Life: β=0.6 [95% CI, 0.2-0.97]; SF-12 mean physical component summary score: β=3.6 [95% CI, 0.9-6.4]). CONCLUSION: Our results suggest the presence of educational inequalities in quality of diabetes care. These findings may help health professionals focus on individuals with increased needs to decrease health inequalities.

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BACKGROUND: The hospital readmission rate has been proposed as an important outcome indicator computable from routine statistics. However, most commonly used measures raise conceptual issues. OBJECTIVES: We sought to evaluate the usefulness of the computerized algorithm for identifying avoidable readmissions on the basis of minimum bias, criterion validity, and measurement precision. RESEARCH DESIGN AND SUBJECTS: A total of 131,809 hospitalizations of patients discharged alive from 49 hospitals were used to compare the predictive performance of risk adjustment methods. A subset of a random sample of 570 medical records of discharge/readmission pairs in 12 hospitals were reviewed to estimate the predictive value of the screening of potentially avoidable readmissions. MEASURES: Potentially avoidable readmissions, defined as readmissions related to a condition of the previous hospitalization and not expected as part of a program of care and occurring within 30 days after the previous discharge, were identified by a computerized algorithm. Unavoidable readmissions were considered as censored events. RESULTS: A total of 5.2% of hospitalizations were followed by a potentially avoidable readmission, 17% of them in a different hospital. The predictive value of the screen was 78%; 27% of screened readmissions were judged clearly avoidable. The correlation between the hospital rate of clearly avoidable readmission and all readmissions rate, potentially avoidable readmissions rate or the ratio of observed to expected readmissions were respectively 0.42, 0.56 and 0.66. Adjustment models using clinical information performed better. CONCLUSION: Adjusted rates of potentially avoidable readmissions are scientifically sound enough to warrant their inclusion in hospital quality surveillance.

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The DRG classification provides a useful tool for the evaluation of hospital care. Indicators such as readmissions and mortality rates adjusted for the hospital Casemix could be adopted in Switzerland at the price of minor additions to the hospital discharge record. The additional information required to build patients histories and to identify the deaths occurring after hospital discharge is detailed.

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BACKGROUND: Many factors affect survival in haemodialysis (HD) patients. Our aim was to study whether quality of clinical care may affect survival in this population, when adjusted for demographic characteristics and co-morbidities. METHODS: We studied survival in 553 patients treated by chronic HD during March 2001 in 21 dialysis facilities in western Switzerland. Indicators of quality of care were established for anaemia control, calcium and phosphate product, serum albumin, pre-dialysis blood pressure (BP), type of vascular access and dialysis adequacy (spKt/V) and their baseline values were related to 3-year survival. The modified Charlson co-morbidity index (including age) and transplantation status were also considered as a predictor of survival. RESULTS: Three-year survival was obtained for 96% of the patients; 39% (211/541) of these patients had died. The 3-year survival was 50, 62 and 69%, respectively, in patients who had 0-2, 3 and >or=4 fulfilled indicators of quality of care (test for linear trend, P < 0.001). In a Cox multivariate analysis model, the absence of transplantation, a higher modified Charlson's score, decreased fulfilment of indicators of good clinical care and low pre-dialysis systolic BP were independent predictors of death. CONCLUSION: Good clinical care improves survival in HD patients, even after adjustment for availability of transplantation and co-morbidities.

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OBJECTIVE: To assess the association between socio-demographic factors and the quality of preventive care and chronic care of cardiovascular (CV) risk factors in a country with universal health care coverage. METHODS: Our retrospective cohort assessed a random sample of 966 patients aged 50-80years followed over 2years (2005-2006) in 4 Swiss university primary care settings (Basel/Geneva/Lausanne/Zürich). We used RAND's Quality Assessment Tools indicators and examined recommended preventive care among different socio-demographic subgroups. RESULTS: Overall patients received 69.6% of recommended preventive care. Preventive care indicators were more likely to be met among men (72.8% vs. 65.4%; p<0.001), younger patients (from 71.0% at 50-59years to 66.7% at 70-80years, p for trend=0.03) and Swiss patients (71.1% vs. 62.7% in forced migrants; p=0.001). This latter difference remained in multivariate analysis adjusted for gender, age, civil status and occupation (OR 0.68; 95% CI 0.54-0.86). Forced migrants had lower scores for physical examination and breast and colon cancer screening (all p≤0.02). No major differences were seen for chronic care of CV risk factors. CONCLUSION: Despite universal healthcare coverage, forced migrants receive less preventive care than Swiss patients in university primary care settings. Greater attention should be paid to forced migrants for preventive care.

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BACKGROUND: The impact of the Integrated Management of Childhood Illness (IMCI) strategy has been less than anticipated because of poor uptake. Electronic algorithms have the potential to improve quality of health care in children. However, feasibility studies about the use of electronic protocols on mobile devices over time are limited. This study investigated constraining as well as facilitating factors that influence the uptake of a new electronic Algorithm for Management of Childhood Illness (ALMANACH) among primary health workers in Dar es Salaam, Tanzania. METHODS: A qualitative approach was applied using in-depth interviews and focus group discussions with altogether 40 primary health care workers from 6 public primary health facilities in the three municipalities of Dar es Salaam, Tanzania. Health worker's perceptions related to factors facilitating or constraining the uptake of the electronic ALMANACH were identified. RESULTS: In general, the ALMANACH was assessed positively. The majority of the respondents felt comfortable to use the devices and stated that patient's trust was not affected. Most health workers said that the ALMANACH simplified their work, reduced antibiotic prescription and gave correct classification and treatment for common causes of childhood illnesses. Few HWs reported technical challenges using the devices and complained about having had difficulties in typing. Majority of the respondents stated that the devices increased the consultation duration compared to routine practice. In addition, health system barriers such as lack of staff, lack of medicine and lack of financial motivation were identified as key reasons for the low uptake of the devices. CONCLUSIONS: The ALMANACH built on electronic devices was perceived to be a powerful and useful tool. However, health system challenges influenced the uptake of the devices in the selected health facilities.

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Beaucoup de jeunes éprouvent des difficultés à demander une aide médicale et psychosociale alors qu'ils en auraient bien besoin. Cela est lié au processus d'autonomisation propre à cette période de la vie : les adolescents souhaitent résoudre leurs problèmes eux-mêmes. Pour améliorer la qualité des soins aux jeunes, l'Organisation mondiale de la santé, avec l'UNICEF et d'autres organismes, a développé le concept de youth friendly health services ; services amis des jeunes. Ce concept repose sur plusieurs principes, comme l'accessibilité, la flexibilité, une formation spécifique du personnel, le respect de la neutralité et de la confidentialité, compétences communicationnelles, etc. L'application de cette approche ne se limite pas aux centres spécialisés en médecine de l'adolescence, mais devra être progressivement implantée dans toutes les structures de soins accueillant des jeunes. Many young people have difficulties requesting medical or psychosocial support, although some badly need it. This difficulty is related to the fact that, as part of their search for autonomy, young people prefer to solve their problems by themselves. To improve the quality of care, the World Health Organization, UNICEF and allied organizations have developed the concept of "Youth friendly health services". This concept includes policies and strategies to improve the accessibility and flexibility, staff's competence and communication skills, etc. Such an approach should not be limited to specialized centers for adolescent health. It should be adopted by all health care institutions dealing with young people.

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OBJECTIVE: To review and update the conceptual framework, indicator content and research priorities of the Organisation for Economic Cooperation and Development's (OECD) Health Care Quality Indicators (HCQI) project, after a decade of collaborative work. DESIGN: A structured assessment was carried out using a modified Delphi approach, followed by a consensus meeting, to assess the suite of HCQI for international comparisons, agree on revisions to the original framework and set priorities for research and development. SETTING: International group of countries participating to OECD projects. PARTICIPANTS: Members of the OECD HCQI expert group. RESULTS: A reference matrix, based on a revised performance framework, was used to map and assess all seventy HCQI routinely calculated by the OECD expert group. A total of 21 indicators were agreed to be excluded, due to the following concerns: (i) relevance, (ii) international comparability, particularly where heterogeneous coding practices might induce bias, (iii) feasibility, when the number of countries able to report was limited and the added value did not justify sustained effort and (iv) actionability, for indicators that were unlikely to improve on the basis of targeted policy interventions. CONCLUSIONS: The revised OECD framework for HCQI represents a new milestone of a long-standing international collaboration among a group of countries committed to building common ground for performance measurement. The expert group believes that the continuation of this work is paramount to provide decision makers with a validated toolbox to directly act on quality improvement strategies.

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PURPOSE: Despite growing interest in measurement of health care quality and patient experience, the current evidence base largely derives from adult health settings, at least in part because of the absence of appropriately developed measurement tools for adolescents. To rectify this, we set out to develop a conceptual framework and a set of indicators to measure the quality of health care delivered to adolescents in hospital. METHODS: A conceptual framework was developed from the following four elements: (1) a review of the evidence around what young people perceive as "adolescent-friendly" health care; (2) an exploration with adolescent patients of the principles of patient-centered care; (3) a scoping review to identify core clinical practices around working with adolescents; and (4) a scoping review of existing conceptual frameworks. Using criteria for indicator development, we then developed a set of indicators that mapped to this framework. RESULTS: Embedded within the notion of patient- and family-centered care, the conceptual framework for adolescent-friendly health care (quality health care for adolescents) was based on the constructs of experience of care (positive engagement with health care) and evidence-informed care. A set of 14 indicators was developed, half of which related to adolescents' and parents' experience of care and half of which related to aspects of evidence-informed care. CONCLUSIONS: The conceptual framework and indicators of quality health care for adolescents set the stage to develop measures to populate these indicators, the next step in the agenda of improving the quality of health care delivered to adolescents in hospital settings.