205 resultados para Quality of care
Resumo:
A questionnaire assessing the satisfaction of children with their hospital stay has been developed and tested with 136 children (aged 6-12 years) at 2 Swiss hospital sites. Three out of 4 children were satisfied overall with their hospital stay. Their relationships with the professional medical staff, explanations they received, games they played, and environment, all received positive evaluations. The most critical points were pain, fear, and the absence of relatives. Ninety percent of the children appreciated that their opinions were sought. These results reinforce the importance of having questionnaires available for the children to consider their opinions to enhance the quality of care.
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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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PURPOSE: This study aims to describe emotional distress and quality of life (QoL) of patients at different phases of their lung cancer and the association with their family physician (FP) involvement. METHODS: A prospective study on patients with lung cancer was conducted in three regions of Quebec, Canada. Patients completed, at baseline, several validated questionnaires regarding their psychosocial characteristics and their perceived level of FP involvement. Emotional distress [profile of mood states (POMS)] and QoL [European Organization for Research and Treatment of Cancer Quality of Life Core 30 (EORTC QLQ-C30)] were reassessed every 3-6 months, whether patients had metastasis or not, up to 18 months. Results were regrouped according to cancer phase. Mixed models with repeated measurements were performed to identify variation in distress and QoL. RESULTS: In this cohort of 395 patients, distress was low at diagnosis (0.79 ± 0.7 on a 0-4 scale), raising to 1.36 ± 0.8 at the advance phase (p < 0.0001). Patient's global QoL scores significantly decreased from the diagnosis to the advance phase (from 66 to 45 on a 0-100 scale; p < 0.0001). At all phases of cancer, FP involvement was significantly associated with patients' distress (p = 0.0004) and their global perception of QoL (p = 0.0080). These associations remained statistically significant even after controlling for age, gender, and presence of metastases. CONCLUSIONS: This study provides new knowledge on patients' emotional distress and QoL with cancer evolution and, particularly, their association with FP involvement. Other studies should be conducted to further explore FP role in cancer supportive 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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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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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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BACKGROUND: This study assessed whether breast cancer (BC) patients express similar levels of needs for equivalent severity of symptoms, functioning difficulties, or degrees of satisfaction with care aspects. BC patients who did (or not) report needs in spite of similar difficulties were identified among their sociodemographic or clinical characteristics. PATIENTS AND METHODS: Three hundred and eighty-four (73% response rate) BC patients recruited in ambulatory or surgery hospital services completed the European Organisation for Research and Treatment of Cancer Quality of Life questionnaire (EORTC QLQ)-C30 quality of life [health-related quality of life (HRQOL)], the EORTC IN-PATSAT32 (in-patient) or OUT-PATSAT35 (out-patient) satisfaction with care, and the supportive care needs survey short form 34-item (SCNS-SF34) measures. RESULTS: HRQOL or satisfaction with care scale scores explained 41%, 45%, 40% and 22% of variance in, respectively, psychological, physical/daily living needs, information/health system, and care/support needs (P < 0.001). BC patients' education level, having children, hospital service attendance, and anxiety/depression levels significantly predicted differences in psychological needs relative to corresponding difficulties (adjusted R(2) = 0.11). Medical history and anxiety/depression levels significantly predicted differences in information/health system needs relative to degrees of satisfaction with doctors, nurses, or radiotherapy technicians and general satisfaction (adjusted R(2) = 0.12). Unmet needs were most prevalent in the psychological domains across hospital services. CONCLUSIONS: Assessment of needs, HRQOL, and satisfaction with care highlights the subgroups of BC patients requiring better supportive care targeting.
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PURPOSE: Health-related quality of life (HRQoL) is considered a representative outcome in the evaluation of chronic disease management initiatives emphasizing patient-centered care. We evaluated the association between receipt of processes-of-care (PoC) for diabetes and HRQoL. METHODS: This cross-sectional study used self-reported data from non-institutionalized adults with diabetes in a Swiss canton. Outcomes were the physical/mental composites of the short form health survey 12 (SF-12) physical composite score, mental composite score (PCS, MCS) and the Audit of Diabetes-Dependent Quality of Life (ADDQoL). Main exposure variables were receipt of six PoC for diabetes in the past 12 months, and the Patient Assessment of Chronic Illness Care (PACIC) score. We performed linear regressions to examine the association between PoC, PACIC and the three composites of HRQoL. RESULTS: Mean age of the 519 patients was 64.5 years (SD 11.3); 60% were male, 87% reported type 2 or undetermined diabetes and 48% had diabetes for over 10 years. Mean HRQoL scores were SF-12 PCS: 43.4 (SD 10.5), SF-12 MCS: 47.0 (SD 11.2) and ADDQoL: -1.6 (SD 1.6). In adjusted models including all six PoC simultaneously, receipt of influenza vaccine was associated with lower ADDQoL (β=-0.4, p≤0.01) and foot examination was negatively associated with SF-12 PCS (β=-1.8, p≤0.05). There was no association or trend towards a negative association when these PoC were reported as combined measures. PACIC score was associated only with the SF-12 MCS (β=1.6, p≤0.05). CONCLUSIONS: PoC for diabetes did not show a consistent association with HRQoL in a cross-sectional analysis. This may represent an effect lag time between time of process received and health-related quality of life. Further research is needed to study this complex phenomenon.
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RATIONALE: This study was intended to document the frequency of care complexity in liver transplant candidates, and its association with mood disturbance and poor health-related quality of life (HRQoL). METHODS: Consecutive patients fulfilling inclusion criteria, recruited in three European hospitals, were assessed with INTERMED, a reliable and valid method for the early assessment of bio-psychosocial health risks and needs. Blind to the results, they were also assessed with the Hospital Anxiety and Depression Scale (HADS). HRQoL was documented with the EuroQol and the SF36. Statistical analysis included multivariate and multilevel techniques. RESULTS: Among patients fulfilling inclusion criteria, 60 patients (75.9%) completed the protocol and 38.3% of them were identified as "complex" by INTERMED, but significant between-center differences were found. In support of the working hypothesis, INTERMED scores were significantly associated with all measures of both the SF36 and the EuroQol, and also with the HADS. A one point increase in the INTERMED score results in a reduction in 0.93 points in EuroQol and a 20% increase in HADS score. CONCLUSIONS: INTERMED-measured case complexity is frequent in liver transplant candidates but varies widely between centers. The use of this method captures in one instrument multiple domains of patient status, including mood disturbances and reduced HRQoL.
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Background: Chronic disease management initiatives emphasize patient-centered care, and quality of life (QoL) is increasingly considered a representative outcome in that context. In this study we evaluated the association between receipt of processes of diabetic care and QoL. Methods: This cross-sectional population-based study (2011) used self-reported data from non-institutionalized, adult diabetics, recruited from randomly selected community pharmacies in Vaud. Outcomes included the physical and mental composites of the SF-36 (PCS, MCS) and the disease-specific Audit of Diabetes-Dependent QoL (ADDQoL). Main exposure variables were receipt of six diabetes processes-of care in the past 12 months. We also evaluated whether the association between care received and QoL was congruent with the chronic care model, when assessed by the Patient Assessment of Chronic Illness Care (PACIC). We used linear regressions to examine the association between process measures and the three composites of health-related QoL. Analyses were adjusted for age, gender, socioeconomic status, living companion, BMI, alcohol, smoking, physical activity, co-morbidities and diabetes mellitus (DM) characteristics (type, insulin use, complications, duration). Results: Mean age of the 519 diabetic patients was 64.4 years (SD 11.3), 60% were male and 73% had a living companion; 87% reported type 2 DM, half of respondents required insulin treatment, 48% had at least one DM complication, and 48% had DM over 10 years. Crude overall mean QoL scores were PCS: 43.4 (SD 10.5), MCS: 47.0 (SD 11.2) and ADDQoL: -1.56 (SD 1.6). In bivariate analyses, patients who received the influenza vaccine versus those who did not, had lower ADDQoL and PCS scores; there were no other indicator differences. In adjusted models including all processes, receipt of influenza vaccine was associated with lower ADDQoL (β= - 0.41, p=.01); there were no other associations between process indicators and QoL composites. There was no process association even when these were reported as combined measures of processes of care. PACIC score was associated only with the MCS (β= 1.57, p=.004). Conclusions: Process indicators for diabetes care did not show an association with QoL. This may represent an effect lag time between time of process received and quality of life; or that treatment may be related with inconvenience and patient worry. Further research is needed to explore these unexpected findings.
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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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OBJECTIVE: To investigate whether better management of chronic conditions by family practices reduces mortality risk. DATA: Two random samples of 5 million patients registered with over 8,000 English family practices followed up for 4 years (2004/5-2007/8). Measures of the quality of disease management for 10 conditions were constructed for each family practice for each year. The outcome measure was an indicator taking the value 1 if the patient died during a specified year, 0 otherwise. STUDY DESIGN: Cross-section and multilevel panel data multiple logistic regressions were estimated. Covariates included age, gender, morbidity, hospitalizations, attributed socio-economic characteristics, and local health care supply measures. PRINCIPAL FINDINGS: Although a composite measure of the quality of disease management for all 10 conditions was significantly associated with lower mortality, only the quality of stroke care was significant when all 10 quality measures were entered in the regression. CONCLUSIONS: The panel data results suggest that a 1 percent improvement in the quality of stroke care could reduce the annual number of deaths in England by 782 [95 percent CI: 423, 1140]. A longer study period may be necessary to detect any mortality impact of better management of other conditions.