Declining crafts: looking through a different perspective

Many Indian crafts are facing extinction. Examples include stone sculpting in Odisha, cotton and silk weaving in Maharashtra, and Madhubani in Uttar Pradesh. This paper focuses on Madhubani, an intricate form of art and craft practiced by artisans in Bihar, in the state of Uttar Pradesh, used to mark special occasions, festivals and life events. The paper describes the external drivers threatening this craft, and the ways in which it has evolved to incorporate new tools and materials. It takes a practice-based approach, in which the author reflects on a three-month period of training with one of the last families of artisans in Madhubani, and the product and furniture designs she developed as a result. Convivial conversations with the family are recounted, and practitioners’ concerns are described around the decline and lack of options for the survival of the craft. The paper finishes with recommendations for a collaborative creative action research approach to evolving the specific craft of Madhubani, in such a way that its true heritage is preserved

Grid workflow scheduling in WOSE

Accepted versio

The my experience of taking medicines (MYMEDS) questionnaire for assessing medicines adherence barriers in post-myocardial infarction patients: development and utility

Background: The ‘My Experience of Taking Medicines’ (MYMEDS) questionnaire is a self-reporting tool for identifying modifiable adherence barriers among individuals prescribed post-myocardial infarction (MI) secondary prevention medicines (SPM) in clinical practice. It was found to be a useful tool to support the conduction of patient-centred consultation in cardiology outpatient leading to improved outcomes including better adherence to SPM and patient satisfaction. This study describes the rationale and development of the MYMEDS tool, its performance and usefulness in identifying modifiable barriers to adherence in cardiology medical practice including user feedback of 204 consecutive post-MI patients who completed an evaluation based on MYMEDS. Methods: Modifiable non-adherence factors were initially identified based on literature review and stakeholder feedback. A draft MYMEDS questionnaire was piloted in 10 patients and adapted accordingly. The final version comprises six sections, covering current medicines, understanding and satisfaction with medicines, concerns about medicines, practical adherence barriers, fitting medicines into daily routine, and adherence to individual SPMs. The questionnaire was mailed to post-MI patients who then attended an outpatient medicines optimisation clinic. Results: Mean age was 70.5 years and 67.6% were male. The tool was effective in revealing modifiable adherence barriers that could be addressed during the consultation. There were high rates of concern that SPMs could be harmful (33.2%) or overprescribed (43.2%), practical issues with swallowing medicines (8.2%), opening packaging (7.3%) or accessing repeat prescriptions (5.2%), forgetfulness (19.7%), and concerns about inconvenience (13.5%). Mean number of barriers per patient was 1.8 ± 1.5. The medications most commonly associated with non-adherence were statins (21.5%), angiotensin II receptor blockers (21.1%), and antiplatelet agents (18.5%). In total, 42.5% of patients acknowledged non-adherence behaviour. Patient feedback on MYMEDS was positive, with near-unanimous agreement that it was simple, clear and not too long, and that it enabled them to raise any concerns they had about their medicines. Patients reported that their individual medicines related needs were better addressed. Conclusions: MYMEDS is a practical tool that can successfully identify modifiable barriers to SPM adherence which can be addressed in a clinical setting. It can be easily rolled out in daily clinical practice to enable individualised person-centred medicines optimisation consultation

Lockdown low vision assessment: an audit of 500 telephone-based modified low vision consultations

PURPOSE: Non‐urgent face‐to‐face outpatient ophthalmology appointments were suspended in the United Kingdom in March 2020, due to the COVID‐19 outbreak. In common with other centres, Moorfields Eye Hospital NHS Foundation Trust (London) offered modified telephone consultations to new and follow‐up patients in the low vision clinic. Here we assess the success of this telephone service. METHODS: Data were collected for 500 consecutive telephone low vision appointments. Successful completion of the assessment and clinical outcomes (low vision aids prescribed, onward referral) were recorded. RESULTS: Telephone assessments were completed for 364 people (72.8%). The most common reasons for non‐completion were either no answer to the telephone call (75 people, 15%), or the patient declining assessment (20 people, 4%). There was no association between age and the likelihood of an assessment being completed. 131 new low vision aids were dispensed, 77 internal referrals were made and 15 people were referred to outside services. More than 80% of the low vision aids prescribed were useful. CONCLUSIONS: Telephone low vision assessments were completed in about three‐quarters of cases. About one‐quarter of consultations resulted in new low vision aids being dispensed, which were generally found useful. Telephone low vision assessments can be used successfully in a large low vision clinic, but have many limitations when compared to face‐to‐face assessments

Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models

INTRODUCTION: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. With advances in early diagnosis and treatment of CVD and increasing life expectancy, more people are surviving initial CVD events. However, models for stratifying disease severity risk in patients with established CVD for effective secondary prevention strategies are inadequate. Multivariable prognostic models to stratify CVD risk may allow personalised treatment interventions. This review aims to systematically review the existing multivariable prognostic models for the recurrence of CVD or major adverse cardiovascular events in adults with established CVD diagnosis. METHODS AND ANALYSIS: Bibliographic databases (Ovid MEDLINE, EMBASE, PsycINFO and Web of Science) will be searched, from database inception to April 2020, using terms relating to the clinical area and prognosis. A hand search of the reference lists of included studies will also be done to identify additional published studies. No restrictions on language of publications will be applied. Eligible studies present multivariable models (derived or validated) of adults (aged 16 years and over) with an established diagnosis of CVD, reporting at least one of the components of the primary outcome of major adverse cardiovascular events (defined as either coronary heart disease, stroke, peripheral artery disease, heart failure or CVD-related mortality). Reviewing will be done by two reviewers independently using the pre-defined criteria. Data will be extracted for included full-text articles. Risk of bias will be assessed using the Prediction model study Risk Of Bias ASsessment Tool (PROBAST). Prognostic models will be summarised narratively. If a model is tested in multiple validation studies, the predictive performance will be summarised using a random-effects meta-analysis model to account for any between-study heterogeneity. ETHICS AND DISSEMINATION: Ethics approval is not required. The results of this study will be submitted to relevant conferences for presentation and a peer-reviewed journal for publication. PROSPERO REGISTRATION NUMBER: CRD42019149111

Socioeconomic predictors and consequences of depression among primary care attenders with non-communicable diseases in the Western Cape, South Africa:Cohort study within a randomised trial

Background: Socioeconomic predictors and consequences of depression and its treatment were investigated in 4393 adults with specified non-communicable diseases attending 38 public sector primary care clinics in the Eden and Overberg districts of the Western Cape, South Africa.   Methods: Participants were interviewed at baseline in 2011 and 14 months later, as part of a randomised controlled trial of a guideline-based intervention to improve diagnosis and management of chronic diseases. The 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) was used to assess depression symptoms, with higher scores representing more depressed mood. Results: Higher CESD-10 scores at baseline were independently associated with being less educated (p=0.004) and having lower income (p=0.003). CESD-10 scores at follow-up were higher in participants with less education (p=0.010) or receiving welfare grants (p=0.007) independent of their baseline scores. Participants with CESD-10 scores of 10 or more at baseline (56% of all participants) had 25% higher odds of being unemployed at follow-up (p=0.016), independently of baseline CESD-10 score and treatment status. Among participants with baseline CESD-10 scores of 10 or more, antidepressant medication at baseline was independently more likely in participants who had more education (p=0.002), higher income (p<0.001), or were unemployed (p=0.001). Antidepressant medication at follow up was independently more likely in participants with higher income (p=0.023), and in clinics with better access to pharmacists (p=0.053) and off-site drug delivery (p=0.013).  Conclusions: Socioeconomic disadvantage appears to be both a cause and consequence of depression, and may also be a barrier to treatment. There are opportunities for improving the prevention, diagnosis and treatment of depression in primary care in inequitable middle income countries like South Africa.  Trial registration: The trial is registered with Current Controlled Trials (ISRCTN20283604) and the Office for Human Research Protections Database (IRB00001938, FWA00001637)

Predictors of failed attendances in a multi-specialty outpatient centre using electronic databases.

BACKGROUND: Failure to keep outpatient medical appointments results in inefficiencies and costs. The objective of this study is to show the factors in an existing electronic database that affect failed appointments and to develop a predictive probability model to increase the effectiveness of interventions. METHODS: A retrospective study was conducted on outpatient clinic attendances at Tan Tock Seng Hospital, Singapore from 2000 to 2004. 22864 patients were randomly sampled for analysis. The outcome measure was failed outpatient appointments according to each patient's latest appointment. RESULTS: Failures comprised of 21% of all appointments and 39% when using the patients' latest appointment. Using odds ratios from the mutliple logistic regression analysis, age group (0.75 to 0.84 for groups above 40 years compared to below 20 years), race (1.48 for Malays, 1.61 for Indians compared to Chinese), days from scheduling to appointment (2.38 for more than 21 days compared to less than 7 days), previous failed appointments (1.79 for more than 60% failures and 4.38 for no previous appointments, compared with less than 20% failures), provision of cell phone number (0.10 for providing numbers compared to otherwise) and distance from hospital (1.14 for more than 14 km compared to less than 6 km) were significantly associated with failed appointments. The predicted probability model's diagnostic accuracy to predict failures is more than 80%. CONCLUSION: A few key variables have shown to adequately account for and predict failed appointments using existing electronic databases. These can be used to develop integrative technological solutions in the outpatient clinic