66 research outputs found

    A Mountain Biker cannot start a journey in sixth gear: An Assessment of the U.N. Global Compact’s Use of Soft Law as a Global Governance Structure for Corporate Social Responsibility

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    The practical impossibility of employing hard law at an international level has meant that softer codes of conduct have stepped in to fill the void. The Global Compact is the most ambitious of these codes, created with a desire to engage business in the project of international development and thus develop a global governance structure for corporate social responsibility. Soft law instruments, such as voluntary standards and framework agreements have been roundly criticised for being vague and indistinct and creating commitments that may be subjective, tentative and conditional. However, what appears to be lacking in the existing literature is a critical analysis of the governance structures created by a voluntary regulatory instrument like the Global Compact using a framework capable of both assessing the initiative’s merits and weaknesses, and tracing its development. Through examining the use of soft law by the Global Compact, we argue that although many question or dismiss its non-binding approach, it provides an illustrative example of the benefits of soft law over harder forms of legislation. One of the most important lessons to take from the case study is that the use of soft law as a global governance structure of corporate social responsibility should not be dismissed as a ‘Plan B’ in the event that harder law is not practical. Corporate social responsibility is a relatively recent phenomenon; clear benefits exist in starting an international regulatory mechanism at the softer end of the legalization spectrum, before toughening up later on

    Primary care transformation in Scotland:qualitative evaluation of the views of patients

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    BackgroundThe new Scottish GP contract introduced in April 2018 aims to improve quality of care through expansion of the multidisciplinary team (MDT) to enable GPs to spend more time as expert medical generalist with patients with complex needs.AimTo explore patients’ views on the changes in general practice in Scotland since the inception of the new contract.Design and SettingQualitative study with 30 patients (10 living in urban deprived areas, 10 living in urban affluent/mixed urban areas, and 10 living in remote and rural areas).MethodsIn-depth semi-structured interviews with thematic analysis. ResultsPatients were generally unaware of the new GP contract, attributing recent changes in general practice to the COVID-19 pandemic. Ongoing concerns included access to GP consultations (especially face-to-face ones), short consultation length with GPs, and damage to continuity of care and the GP-patient relationship. Most patients spoke positively about consultations with MDT staff but still wanted to see a known GP for health concerns that they considered potentially serious. These issues were especially concerning for patients with multiple complex problems, particularly those from deprived areas. ConclusionFollowing the introduction of the new Scottish GP contract, patients in our sample were accepting of first contact care from the MDT but still wanted continuity of care and longer face-to-face consultations with GPs. These findings suggest that the expert generalist role of the GP is not being adequately supported by the new contract, especially in deprived areas, though further quantitative research is required to confirm this. Key words: Primary care transformation, reform, GP contract, patients’ views, multimorbidity, deprivation<br/

    Understanding chronic nematode infections: evolutionary considerations, current hypotheses and the way forward

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    Long-range DNA looping and gene expression analyses identify DEXI as an autoimmune disease candidate gene

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    The chromosome 16p13 region has been associated with several autoimmune diseases, including type 1 diabetes (T1D) and multiple sclerosis (MS). CLEC16A has been reported as the most likely candidate gene in the region, since it contains the most disease-associated single-nucleotide polymorphisms (SNPs), as well as an imunoreceptor tyrosine-based activation motif. However, here we report that intron 19 of CLEC16A, containing the most autoimmune disease-associated SNPs, appears to behave as a regulatory sequence, affecting the expression of a neighbouring gene, DEXI. The CLEC16A alleles that are protective from T1D and MS are associated with increased expression of DEXI, and no other genes in the region, in two independent monocyte gene expression data sets. Critically, using chromosome conformation capture (3C), we identified physical proximity between the DEXI promoter region and intron 19 of CLEC16A, separated by a loop of >150 kb. In reciprocal experiments, a 20 kb fragment of intron 19 of CLEC16A, containing SNPs associated with T1D and MS, as well as with DEXI expression, interacted with the promotor region of DEXI but not with candidate DNA fragments containing other potential causal genes in the region, including CLEC16A. Intron 19 of CLEC16A is highly enriched for transcription-factor-binding events and markers associated with enhancer activity. Taken together, these data indicate that although the causal variants in the 16p13 region lie within CLEC16A, DEXI is an unappreciated autoimmune disease candidate gene, and illustrate the power of the 3C approach in progressing from genome-wide association studies results to candidate causal genes

    Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak

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    Background: Privacy concerns by providers have been a barrier to disclosing patient information for public health\ud purposes. This is the case even for mandated notifiable disease reporting. In the context of a pandemic it has been\ud argued that the public good should supersede an individual’s right to privacy. The precise nature of these provider\ud privacy concerns, and whether they are diluted in the context of a pandemic are not known. Our objective was to\ud understand the privacy barriers which could potentially influence family physicians’ reporting of patient-level\ud surveillance data to public health agencies during the Fall 2009 pandemic H1N1 influenza outbreak.\ud Methods: Thirty seven family doctors participated in a series of five focus groups between October 29-31 2009.\ud They also completed a survey about the data they were willing to disclose to public health units. Descriptive\ud statistics were used to summarize the amount of patient detail the participants were willing to disclose, factors that\ud would facilitate data disclosure, and the consensus on those factors. The analysis of the qualitative data was based\ud on grounded theory.\ud Results: The family doctors were reluctant to disclose patient data to public health units. This was due to concerns\ud about the extent to which public health agencies are dependable to protect health information (trusting beliefs),\ud and the possibility of loss due to disclosing health information (risk beliefs). We identified six specific actions that\ud public health units can take which would affect these beliefs, and potentially increase the willingness to disclose\ud patient information for public health purposes.\ud Conclusions: The uncertainty surrounding a pandemic of a new strain of influenza has not changed the privacy\ud concerns of physicians about disclosing patient data. It is important to address these concerns to ensure reliable\ud reporting during future outbreaks.University of Ottawa Open Access Author Fun

    Workshop on accounting for fishers and other stakeholders’ perceptions of the dynamics of fish stocks in ICES advice (WKAFPA)

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    The objective of the Workshop on accounting for fishers and other stakeholders’ perceptions of the dynamics of fish stocks in ICES advice (WKAFPA) was to identify where and how stakeholder information could be incorporated in the ICES fisheries advice process. It adopted an operational definition of the concept of perception, where perceptions result from observations, interpreted in light of experience, that can be supported by data, information and knowledge to generate evidence about them. Stakeholder information can be either structured (e.g. routinely collected information in a standardized format) or unstructured (e.g. experiential information) and either of those can inform decisions made during the production of ICES advice. Most notably, the group identified there was a need to engage with stakeholders earlier in the process, i.e. before benchmarks meetings take place and before preliminary assessment results are used as the basis to predict total allowable catches for upcoming advice (Figure 4.2). It was therefore recommended to include in the ICES process the organisation of pre-benchmark/roadmap workshops where science and data needs of upcoming benchmarks can be identified, followed by making arrangements how scientists and stakeholders can collaborate to access, prepare for use (where relevant) and document the structured and unstructured information well ahead of the benchmark meetings. It was also recommended to organise ‘sense-checking’ sessions with stakeholders when preliminary assessments are available but not yet used as the basis for advisory production. This would allow stakeholders and assessment scientists to verify available knowledge and data against stock perceptions and provide additional considerations relevant for the production of TAC advice. Next to these two additional activities, it is recommended that communication on differences in stakeholder perception or data derived perceptions are communicated within the ICES assessment reports as well as in the ICES advice in a transparent manner. Not only should differences or similarities be documented and communicated, in those cases where there are differences in perception between ICES stock assessments and stakeholders, a working group, external to the assessment working groups, should evaluate these differences and describe whether these differences can be logically explained or require further investigation. This outcome of this process may potentially lead to new data collection or additional analyses suitable for input to benchmarks. Essential in this entire process is making sure the same language is spoken between scientists and stakeholders, that there are clear and transparent processes in place on how to deal with stakeholder information and communicate clearly how this information is used in the preparation of ICES advice.Peer reviewe

    The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

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    Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care
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