839 resultados para PHARMACY-BASED MEASURES
Resumo:
Issues concerning the influence of attachment characteristics on own and partner's disclosure were addressed using a sample of 113 couples in medium-term dating relationships. Individual differences in attachment were assessed in terms of relationship anxiety and avoidance. Disposition to disclose was assessed using questionnaire measures of self-disclosure, relationship-focused disclosure, and the ability to elicit disclosure from the partner; in addition, structured diaries were used to assess aspects of disclosure (amount, intimacy, emotional tone, and satisfaction) in the context of couples' everyday interactions. Couple-level analyses showed that avoidance strongly predicted dispositional measures of disclosure, whereas anxiety (particularly partner's anxiety) was related to negative evaluations of everyday interactions. Interactive effects of attachment dimensions and gender were also obtained, highlighting the complexity of communication behavior. The results are discussed in terms of the goals and strategies associated with working models of attachment.
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Objectives: To measure the positive predictive value (PPV) of the cost of drug therapy (threshold = 2000 Swiss francs [CHF], US$1440, <euro>1360) as a screening criterion for identifying patients who may benefit from medication review (MR). To describe identified drug-related problems (DRPs) and expense problems (EPs), and to estimate potential savings if all recommendations were accepted. Setting Five voluntary Swiss community pharmacies. Methods: Of 12,680 patients, 592 (4.7%) had drug therapy costs exceeding 2000 CHF over a six-month period from July 1 to December 31, 2002. This threshold limit was set to identify high-risk patients for DRPs and EPs. Three pharmacists consecutively conducted a medication review based on the pharmaceutical charts of 125 sampled patients who met the inclusion criterion. Main outcome measure: The PPV of a threshold of 2000 CHF for identifying patients who might benefit from a MR: true positives were patients with at least one DRP, while false positives were patients with no DRP. Results: The selection based on this criterion had a PPV of 86% for detecting patients with at least one DRP and 95% if EPs were also considered. There was a mean of 2.64 (SD = 2.20) DRPs per patient and a mean of 2.14 (SD = 1.39) EPs per patient. Of these patients, 90% were over 65 years old or were treated with at least five chronic medications, two common criteria for identifying patients at risk of DRPs. The main types of DRPs were drug-drug interactions, compliance problems and duplicate drugs. Mean daily drug cost per patient was CHF 14.87 (US$10.70, <euro>10.10). A potential savings of CHF 1.67 (US$1.20, <euro>1.14) per day (11%) was estimated if all recommendations to solve DRPs and EPs suggested herein were implemented. Conclusion: Further studies should investigate whether the potential benefit of medication reviews in preventing DRPs and containing costs in this patient group can be confirmed in a real practice environment. [Authors]
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A new family of distortion risk measures -GlueVaR- is proposed in Belles- Sampera et al. -2013- to procure a risk assessment lying between those provided by common quantile-based risk measures. GlueVaR risk measures may be expressed as a combination of these standard risk measures. We show here that this relationship may be used to obtain approximations of GlueVaR measures for general skewed distribution functions using the Cornish-Fisher expansion. A subfamily of GlueVaR measures satisfies the tail-subadditivity property. An example of risk measurement based on real insurance claim data is presented, where implications of tail-subadditivity in the aggregation of risks are illustrated.
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This study aimed to evaluate adherence to anti-retroviral treatment (ART) among HIV + adults, assess its association with HIV viral load (VL) and identify factors associated to adherence. A survey involving a random sample of adults followed at a HIV/AIDS reference center in Sao Paulo city, Brazil, from 2007 to 2009 was done. A questionnaire was applied and data were retrieved from the pharmacy and medical records. The study involved 292 subjects: 70.2% men; median age: 43 years; median duration of ART: 8 years. 89.3% self-reported taken all prescribed pills in the last 3 days but only 39.3% picked up >= 95% of the prescribed ART from the pharmacy in the last 12 months. At the multivariate analysis having symptoms prior to ART, taking fewer ART pills, and not missing medical appointments were independently associated to higher adherence. Adherence was strongly associated with undetectable HIV VL. Rates of undetectable HIV VL did not differ from 80 to >= 95% of adherence.
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The unprecedented success of social networking sites (SNSs) has been recently overshadowed by concerns about privacy risks. As SNS users grow weary of privacy breaches and thus develop distrust, they may restrict or even terminate their platform activities. In the long run, these developments endanger SNS platforms’ financial viability and undermine their ability to create individual and social value. By applying a justice perspective, this study aims to understand the means at the disposal of SNS providers to leverage the privacy concerns and trusting beliefs of their users—two important determinants of user participation on SNSs. Considering that SNSs have a global appeal, empirical tests assess the effectiveness of justice measures for three culturally distinct countries: Germany, Russia and Morocco. The results indicate that these measures are particularly suited to address trusting beliefs of SNS audience. Specifically, in all examined countries, procedural justice and the awareness dimension of informational justice improve perceptions of trust in the SNS provider. Privacy concerns, however, are not as easy to manage, because the impact of justice-based measures on privacy concerns is not universal. Beyond theoretical value, this research offers valuable practical insights into the use of justice-based measures to promote trust and mitigate privacy concerns in a cross-cultural setting.
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Objective: To measure changes in dispensing activity in a UK repeat dispensing pilot study and to estimate any associated cost savings. Method: Patients were provided with two successive three-monthly repeat prescriptions containing all of the items on their "repeat medicines list" and valid at a study pharmacy. Pharmacists consulted with patients at the time of supply and completed a patient-monitoring form. Prescriptions with pricing data were returned by the UK Prescription Pricing Authority. These data were used to calculate dispensing activity, the cost of dispensed items and an estimate of cost savings on non-dispensed items. A retrospective identification of items prescribed during the six months prior to the project was used to provide a comparison with those dispensed during the project and thus a more realistic estimate of changes. Setting: 350 patients from two medical practices in a large English City, with inner city and suburban locations, and served by seven pharmacies. Key findings: There were methodological challenges in establishing a robust framework for calculating changes. Based on all of the items that patients could have obtained from their repeat list, 23.8% were not dispensed during the intervention period. A correction was then made to allow for a comparison with usage in the six months prior to the study. Based on the corrected data, there was an estimated 11.3% savings in drug costs compared with the pre-intervention period. There was a marked difference in changes between the two practices, the pharmacies and individual patients. The capitation-based remuneration method was acceptable to all but one of the community pharmacists. Conclusion: The repeat dispensing system reduced dispensing volume in comparison with the control period. A repeat dispensing system with a focus on patients' needs and their use of medicines might be cost neutral.
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Background: Team-based working is now an inherent part of effective health care delivery. Previous research has identified that team working is associated with positive mental health and well-being outcomes for individuals operating in an effective team environment. This is a particularly important topic in the health services context, although little empirical attention has been paid to mental-health services. Psychiatric nurses work on a day-to-day basis with a particularly stressful and demanding client group in an environment which is characterised by high demands, uncertainty, and limited resources. This paper specifically focuses on psychiatric nurses working in National Health Service (NHS) and casts some light on the ways in which effective team-based working can help to alleviate a number of occupational stressors and strains. Method: A questionnaire method (2005 NHS Staff Survey) was employed to collect data from 6655 psychiatric nurses from 64 different NHS Trusts. The hypotheses were concerned with four overall measures from the survey; effective team working, occupational stress, work pressure and social support. Hypothesis 1 stated that effective team working will have a significant negative relationship with occupational stress and work pressure. Further, Hypothesis 2 stated that social support from supervisors and co-workers will moderate this relationship. Findings: Data was treated with a series of regression analyses. For Hypothesis 1, working in a real team did have main effects on work pressure and accounted for 1.6 per cent of the variance. Using the Nagelkerke R square value, working in a real team also had main effects on occupational stress an accounted for approximately 2.8 per cent of the variance. Further, the Exp (B) value of 0.662 suggests that the odds of suffering from occupational stress are cut by 33.8 per cent when a psychiatric nurse works in a real team. Results failed to provide support for Hypothesis 2. The analysis then went on to adopt a unique approach for assessing the extent of real team-based working, distinguishing between real teams, and a number of pseudo team typologies, as well as the absence of teamwork all together. As was hypothesised, results demonstrated that psychiatric nurses working in real teams (ones with clear objectives, where-by team members work closely with one another to achieve team objectives and meet regularly to discuss team effectiveness and how it can be improved) experienced the lowest levels of stress and work pressure of the sample. However, contrary to prediction, results indicated that psychiatric nurses working in any type of pseudo team actually experienced significantly higher levels of stress and work pressure than those who did not report as working in a team at all. Discussion: These findings have serious implications for NHS Mental Health Trusts, which may not be implementing, structuring and managing their nursing teams adequately. Indeed, results suggest that poorly-structured team work may actually facilitate stress and pressure in the workplace. Conversely, well-structured real teams serve to reduce stress and work pressure, which in turn not only enhances the working lives and well-being of psychiatric nurses, but also greatly improves the service that the NHS provides to its users.
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BACKGROUND: Pharmacy-based case mix measures are an alternative source of information to the relatively scarce outpatient diagnoses data. But most published tools use national drug nomenclatures and offer no head-to-head comparisons between drugs-related and diagnoses-based categories. The objective of the study was to test the accuracy of drugs-based morbidity groups derived from the World Health Organization Anatomical Therapeutic Chemical Classification of drugs by checking them against diagnoses-based groups. METHODS: We compared drugs-based categories with their diagnoses-based analogues using anonymous data on 108,915 individuals insured with one of four companies. They were followed throughout 2005 and 2006 and hospitalized at least once during this period. The agreement between the two approaches was measured by weighted kappa coefficients. The reproducibility of the drugs-based morbidity measure over the 2 years was assessed for all enrollees. RESULTS: Eighty percent used a drug associated with at least one of the 60 morbidity categories derived from drugs dispensation. After accounting for inpatient under-coding, fifteen conditions agreed sufficiently with their diagnoses-based counterparts to be considered alternative strategies to diagnoses. In addition, they exhibited good reproducibility and allowed prevalence estimates in accordance with national estimates. For 22 conditions, drugs-based information identified accurately a subset of the population defined by diagnoses. CONCLUSIONS: Most categories provide insurers with health status information that could be exploited for healthcare expenditure prediction or ambulatory cost control, especially when ambulatory diagnoses are not available. However, due to insufficient concordance with their diagnoses-based analogues, their use for morbidity indicators is limited.
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A asma é uma doença inflamatória crónica das vias aéreas que, em indivíduos susceptíveis, origina sintomas característicos. Dada a prevalência, características da doença, utilização segura e correcta dos medicamentos e adesão à terapêutica, é de extrema importância incentivar os profissionais de saúde, doentes e suas famílias a tomarem medidas que permitam um melhor controlo da doença, de forma a obter ganhos em saúde. Assim, foi realizado um estudo descritivo envolvendo os doentes asmáticos da farmácia Santo António, tendo por base um questionário que avaliou o grau de controlo da asma, bem como o conhecimento sobre a doença e cuidados a ter. Após tratamento dos dados, foi possível determinar que 35% dos asmáticos em questão apresentam asma não controlada ou parcialmente controlada, 43% não conhece medidas não farmacológicas relativas a esta patologia e 12% não usa correctamente a medicação prescrita. Os resultados do estudo indicam que é necessário que o farmacêutico intervenha junto da população asmática, nomeadamente através de acções de formação sobre a utilização correcta dispositivos de inalação (no que diz respeito à importância da utilização de medicação SOS apenas nas situações adequadas e não como medicação diária), informação sobre medidas não farmacológicas (que em alguns doentes podem ser um factor decisivo no controlo da doença) e importância da monitorização do controlo da patologia pelo próprio doente.
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Regional flood frequency techniques are commonly used to estimate flood quantiles when flood data is unavailable or the record length at an individual gauging station is insufficient for reliable analyses. These methods compensate for limited or unavailable data by pooling data from nearby gauged sites. This requires the delineation of hydrologically homogeneous regions in which the flood regime is sufficiently similar to allow the spatial transfer of information. It is generally accepted that hydrologic similarity results from similar physiographic characteristics, and thus these characteristics can be used to delineate regions and classify ungauged sites. However, as currently practiced, the delineation is highly subjective and dependent on the similarity measures and classification techniques employed. A standardized procedure for delineation of hydrologically homogeneous regions is presented herein. Key aspects are a new statistical metric to identify physically discordant sites, and the identification of an appropriate set of physically based measures of extreme hydrological similarity. A combination of multivariate statistical techniques applied to multiple flood statistics and basin characteristics for gauging stations in the Southeastern U.S. revealed that basin slope, elevation, and soil drainage largely determine the extreme hydrological behavior of a watershed. Use of these characteristics as similarity measures in the standardized approach for region delineation yields regions which are more homogeneous and more efficient for quantile estimation at ungauged sites than those delineated using alternative physically-based procedures typically employed in practice. The proposed methods and key physical characteristics are also shown to be efficient for region delineation and quantile development in alternative areas composed of watersheds with statistically different physical composition. In addition, the use of aggregated values of key watershed characteristics was found to be sufficient for the regionalization of flood data; the added time and computational effort required to derive spatially distributed watershed variables does not increase the accuracy of quantile estimators for ungauged sites. This dissertation also presents a methodology by which flood quantile estimates in Haiti can be derived using relationships developed for data rich regions of the U.S. As currently practiced, regional flood frequency techniques can only be applied within the predefined area used for model development. However, results presented herein demonstrate that the regional flood distribution can successfully be extrapolated to areas of similar physical composition located beyond the extent of that used for model development provided differences in precipitation are accounted for and the site in question can be appropriately classified within a delineated region.
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During the first decade of the new millennium, fueled by the economic development in Spain, urban bus services were extended. Since the years 2008 and 2009, the root of the economic crisis, the improvement of these services is at risk due to economic problems. In this paper, the technical efficiency of the main urban bus companies in Spain during the 2004–2009 period are studied using SBM (slack-based measures) models and by establishing the slacks in the services' production inputs. The influence of a series of exogenous variables on the operation of the different services is also analyzed. It is concluded that only the 24% of the case studies are efficient, and some urban form variables can explain part of the inefficiency. The methodology used allows studying the inefficiency in a disaggregated way that other DEA (data envelopment analysis) models do not.