Trends in thyroid hormone prescribing and consumption in the UK

<p>Abstract</p> <p>Background</p> <p>Thyroid hormone replacement is one of the most commonly prescribed and cost effective treatments for a chronic disease. There have been recent changes in community prescribing policies in many areas of the UK that have changed patient access to necessary medications. This study aimed to provide a picture of thyroid hormone usage in the UK and to survey patient opinion about current community prescribing policies for levothyroxine.</p> <p>Methods</p> <p>Data on community prescriptions for thyroid hormones in England between 1998 and 2007, provided by the Department of Health, were collated and analysed. A survey of UK members of a patient support organisation (the British Thyroid Foundation) who were taking levothyroxine was carried out.</p> <p>Results</p> <p>The amount of prescribed thyroid hormones used in England has more than doubled, from 7 to almost 19 million prescriptions, over the last 10 years. The duration of prescriptions has reduced from 60 to 45 days, on average over the same time. Two thousand five hundred and fifty one responses to the patient survey were received. Thirty eight percent of levothyroxine users reported receiving prescriptions of 28 days' duration. 59% of respondents reported being dissatisfied with 28-day prescribing.</p> <p>Conclusion</p> <p>Amongst users of levothyroxine, there is widespread patient dissatisfaction with 28-day prescription duration. Analysis of the full costs of 28-day dispensing balanced against the potential savings of reduced wastage of thyroid medications, suggests that this is unlikely to be an economically effective public health policy.</p

Post-graduate medical education in public health: The case of Italy and a call for action

Public health technical expertise is of crucial importance to inform decision makers\u2019 action in the field of health and its broader determinants. Improving education and training of public health professionals for both practice and research is the starting point to strengthen the role of public health so that current health challenges can be efficiently tackled. At the Association of Schools of Public Health in the European Region (ASPHER) Deans\u2019 & Directors\u2019 2017 Annual Retreat, we presented the structure and management of public health training system in Italy, and we reported recent data on Italian public health specialists\u2019 educational experience, employment opportunities and job satisfaction. Public health training in Italy is implemented in the context of the post-graduate medical education residency programme in Hygiene and Preventive Medicine, delivered by 34 University-based Schools of Public Health. We report relatively high employment rates across the county and wide spectrum of career opportunities for young public health specialists. However, job security is low and training expectations only partially met. We call upon other Schools of Public Health to scale up the survey within the broad ASPHER community in a shared and coordinated action of systematically collecting useful data that can inform the development of public health education and training models, their implementation and fruitful interaction with population health, health systems and services

Non-linear evolution in CCFM: The interplay between coherence and saturation

We solve the CCFM equation numerically in the presence of a boundary condition which effectively incorporates the non-linear dynamics. We retain the full dependence of the unintegrated gluon distribution on the coherence scale, and extract the saturation momentum. The resulting saturation scale is a function of both rapidity and the coherence momentum. In Deep Inelastic Scattering this will lead to a dependence of the saturation scale on the photon virtuality in addition to the usual x-Bjorken dependence. At asymptotic energies the interplay between the perturbative non-linear physics, and that of the QCD coherence, leads to an interesting and novel dynamics where the saturation momentum itself eventually saturates. We also investigate various implementations of the "non-Sudakov" form factor. It is shown that the non-linear dynamics leads to almost identical results for different form factors. Finally, different choices of the scale of the running coupling are analyzed and implications for the phenomenology are discussed.Comment: 37 pages, 21 figure

Validation of the GetReal Trial Tool - Facilitating discussion and understanding more pragmatic design choices and their implications

Background: The GetReal Trial Tool is a decision support tool to assess the impact of design choices on generalizability of clinical trials to routine clinical practice, while taking into account the risk of bias, precision, acceptability and operational feasibility. This study describes the validation of the GetReal Trial Tool. Methods: Twelve experts took part in the GetReal Trial tool validation using the protocols of 6 trials conducted with pragmatic elements. The tool entails 7 domains with a total of 43 questions. A pooled Kappa statistic (95% CI) using random effects model was estimated using Open Meta (analyst) software. The possible operational challenges were collated and discussed with the trialists that conducted the trials. Results: Agreement in the design choices made for the trial protocols was >50% for all the trials and all teams reached consensus during discussion. The pooled Kappa statistic (95% CI) was 0.236 (0.154-0.318). The GetReal Trial tool highlighted several operational challenges, of which almost half had been experienced previously by the trialists. Out of 25 additional operational challenges mentioned by the trialists, 76% were already highlighted by the tool. The tool was considered helpful to optimize trials right from the design stage. Conclusion: The GetReal Trial Tool helps to scrutinize the choice of study design in the light of Real World Evidence generation. The tool identifies most of the operational challenges experienced by trialists to date. The tool serves the intended purpose of facilitating discussion and understanding more pragmatic design choices and their implications

Ecology: a prerequisite for malaria elimination and eradication

* Existing front-line vector control measures, such as insecticide-treated nets and residual sprays, cannot break the transmission cycle of Plasmodium falciparum in the most intensely endemic parts of Africa and the Pacific * The goal of malaria eradication will require urgent strategic investment into understanding the ecology and evolution of the mosquito vectors that transmit malaria * Priority areas will include understanding aspects of the mosquito life cycle beyond the blood feeding processes which directly mediate malaria transmission * Global commitment to malaria eradication necessitates a corresponding long-term commitment to vector ecolog

Estimating parameters for probabilistic linkage of privacy-preserved datasets.

Background: Probabilistic record linkage is a process used to bring together person-based records from within the same dataset (de-duplication) or from disparate datasets using pairwise comparisons and matching probabilities. The linkage strategy and associated match probabilities are often estimated through investigations into data quality and manual inspection. However, as privacy-preserved datasets comprise encrypted data, such methods are not possible. In this paper, we present a method for estimating the probabilities and threshold values for probabilistic privacy-preserved record linkage using Bloom filters. Methods: Our method was tested through a simulation study using synthetic data, followed by an application using real-world administrative data. Synthetic datasets were generated with error rates from zero to 20% error. Our method was used to estimate parameters (probabilities and thresholds) for de-duplication linkages. Linkage quality was determined by F-measure. Each dataset was privacy-preserved using separate Bloom filters for each field. Match probabilities were estimated using the expectation-maximisation (EM) algorithm on the privacy-preserved data. Threshold cut-off values were determined by an extension to the EM algorithm allowing linkage quality to be estimated for each possible threshold. De-duplication linkages of each privacy-preserved dataset were performed using both estimated and calculated probabilities. Linkage quality using the F-measure at the estimated threshold values was also compared to the highest F-measure. Three large administrative datasets were used to demonstrate the applicability of the probability and threshold estimation technique on real-world data. Results: Linkage of the synthetic datasets using the estimated probabilities produced an F-measure that was comparable to the F-measure using calculated probabilities, even with up to 20% error. Linkage of the administrative datasets using estimated probabilities produced an F-measure that was higher than the F-measure using calculated probabilities. Further, the threshold estimation yielded results for F-measure that were only slightly below the highest possible for those probabilities. Conclusions: The method appears highly accurate across a spectrum of datasets with varying degrees of error. As there are few alternatives for parameter estimation, the approach is a major step towards providing a complete operational approach for probabilistic linkage of privacy-preserved datasets

Colectomy rate in steroid-refractory colitis initially responsive to cyclosporin: a long-term retrospective cohort study

BACKGROUND: There is consistent evidence that 50% of patients with acute, steroid-resistant flare of ulcerative colitis (UC) may achieve remission and avoid colectomy if treated with cyclosporin (CsA). However, follow-up of the responders has shown that most of them relapse and need surgery shortly after the response. We compared the records of our CsA-treated patients with those of other groups in order to help clarify this matter. METHODS: All patients admitted consecutively to our Unit with an attack of UC and treated with CsA between January 1991 and December 1999 were studied. Patients were begun on continuously-infused CsA at 2 mg/kg/day (1991–1996), or on NEORAL at an initial dose of 5 mg/kg/day (1996–1999). The maintenance treatment included oral CsA for 3–6 months with or without azathioprine (AZA). CsA failure was defined as a relapse requiring steroids with or without progression to colectomy; the cumulative probability of relapse/colectomy was assessed by Fisher's exact tests and Kaplan-Meier analysis. RESULTS: Among the patients, 39/61 (63%) initially responded. These 39 included a fatality and 4 drop-outs (unrelated to the side-effects of CsA), leaving 34 patients for the study. Of these, 61% and 35% were colectomy-free at 1 and 7 years, respectively; the corresponding figures were 80 and 60% respectively in the subset treated with AZA, but 47% and 15% in the AZA-untreated subgroup (p= 0.0007 at 7 years). Among the 34 patients, 44% were relapse-free at 1 year, but all had relapsed at 7 years (p = 0.0635). The overall resort to colectomy was 72%, while 19% of the patients remained colectomy-free. CONCLUSION: Sixty percent of a cohort of patients with steroid-refractory colitis responded to CsA and 60% of these responders retained the colon after 1 year. These figures fell to 35% at 7 years but improved to 60% on AZA. The overall need for colectomy remains high in these patients and toxicity must be monitored

A divergent role for estrogen receptor-beta in node-positive and node-negative breast cancer classified according to molecular subtypes: an observational prospective study

Introduction: Estrogen receptor-alpha (ER-alpha) and progesterone receptor (PgR) are consolidated predictors of response to hormonal therapy (HT). In contrast, little information regarding the role of estrogen receptor-beta (ER-beta) in various breast cancer risk groups treated with different therapeutic regimens is available. In particular, there are no data concerning ER-beta distribution within the novel molecular breast cancer subtypes luminal A (LA) and luminal B (LB), HER2 (HS), and triple-negative (TN). Methods: We conducted an observational prospective study using immunohistochemistry to evaluate ER-beta expression in 936 breast carcinomas. Associations with conventional biopathological factors and with molecular subtypes were analyzed by multiple correspondence analysis (MCA), while univariate and multivariate Cox regression analysis and classification and regression tree analysis were applied to determine the impact of ER-beta on disease-free survival in the 728 patients with complete follow-up data. Results: ER-beta evenly distributes (55.5%) across the four molecular breast cancer subtypes, confirming the lack of correlation between ER-beta and classical prognosticators. However, the relationships among the biopathological factors, analyzed by MCA, showed that ER-beta positivity is located in the quadrant containing more aggressive phenotypes such as HER2 and TN or ER-alpha/PgR/Bcl2- tumors. Kaplan-Meier curves and Cox regression analysis identified ER-beta as a significant discriminating factor for disease-free survival both in the node-negative LA (P = 0.02) subgroup, where it is predictive of response to HT, and in the node-positive LB (P = 0.04) group, where, in association with PgR negativity, it conveys a higher risk of relapse. Conclusion: Our data indicated that, in contrast to node-negative patients, in node-positive breast cancer patients, ER-beta positivity appears to be a biomarker related to a more aggressive clinical course. In this context, further investigations are necessary to better assess the role of the different ER-beta isoforms