Breeding for water-use efficiency in wheat: progress, challenges and prospects.

Drought poses a significant challenge to wheat production globally, leading to substantial yield losses and affecting various agronomic and physiological traits. The genetic route offers potential solutions to improve water-use efficiency (WUE) in wheat and mitigate the negative impacts of drought stress. Breeding for drought tolerance involves selecting desirable plants such as efficient water usage, deep root systems, delayed senescence, and late wilting point. Biomarkers, automated and high-throughput techniques, and QTL genes are crucial in enhancing breeding strategies and developing wheat varieties with improved resilience to water scarcity. Moreover, the role of root system architecture (RSA) in water-use efficiency is vital, as roots play a key role in nutrient and water uptake. Genetic engineering techniques offer promising avenues to introduce desirable RSA traits in wheat to enhance drought tolerance. These technologies enable targeted modifications in DNA sequences, facilitating the development of drought-tolerant wheat germplasm. The article highlighted the techniques that could play a role in mitigating drought stress in wheat.

An economic evaluation of universal and targeted case-finding strategies for identifying antenatal depression: a model-based analysis comparing common case-finding instruments.

Half of women with depression in the perinatal period are not identified in routine care, and missed cases reflect inequalities in other areas of maternity care. Case finding (screening) for depression in pregnant women may be a cost-effective strategy to improve identification, and targeted case finding directs finite resources towards the greatest need. We compared the cost-effectiveness of three case-finding strategies: no case finding, universal (all pregnant women), and targeted (only pregnant women with risk factors for antenatal depression, i.e. history of anxiety/depression, age < 20 years, and adverse life events). A decision tree model was developed to represent case finding (at around 20 weeks gestation) and subsequent treatment for antenatal depression (up to 40 weeks gestation). Costs include case finding and treatment. Health benefits are measured as quality-adjusted life years (QALYs). The sensitivity and specificity of case-finding instruments and prevalence and severity of antenatal depression were estimated from a cohort study of pregnant women. Other model parameters were derived from published literature and expert consultation. The most cost-effective case-finding strategy was a two-stage strategy comprising the Whooley questions followed by the PHQ-9. The mean costs were £52 (universal), £61 (no case finding), and £62 (targeted case finding). Both case-finding strategies improve health compared with no case finding. Universal case finding is cost-saving. Costs associated with targeted case finding are similar to no case finding, with greater health gains, although targeted case finding is not cost-effective compared with universal case finding. Universal case finding for antenatal depression is cost-saving compared to no case finding and more cost-effective than targeted case finding.

Predicting relapse or recurrence of depression: systematic review of prognostic models.

BACKGROUND: Relapse and recurrence of depression are common, contributing to the overall burden of depression globally. Accurate prediction of relapse or recurrence while patients are well would allow the identification of high-risk individuals and may effectively guide the allocation of interventions to prevent relapse and recurrence. AIMS: To review prognostic models developed to predict the risk of relapse, recurrence, sustained remission, or recovery in adults with remitted major depressive disorder. METHOD: We searched the Cochrane Library (current issue); Ovid MEDLINE (1946 onwards); Ovid Embase (1980 onwards); Ovid PsycINFO (1806 onwards); and Web of Science (1900 onwards) up to May 2021. We included development and external validation studies of multivariable prognostic models. We assessed risk of bias of included studies using the Prediction model risk of bias assessment tool (PROBAST). RESULTS: We identified 12 eligible prognostic model studies (11 unique prognostic models): 8 model development-only studies, 3 model development and external validation studies and 1 external validation-only study. Multiple estimates of performance measures were not available and meta-analysis was therefore not necessary. Eleven out of the 12 included studies were assessed as being at high overall risk of bias and none examined clinical utility. CONCLUSIONS: Due to high risk of bias of the included studies, poor predictive performance and limited external validation of the models identified, presently available clinical prediction models for relapse and recurrence of depression are not yet sufficiently developed for deploying in clinical settings. There is a need for improved prognosis research in this clinical area and future studies should conform to best practice methodological and reporting guidelines.

Changes in alcohol use during the COVID-19 pandemic and previous pandemics: A systematic review.

The objective of this study is to summarize the research on the relationships between exposure to the COVID-19 pandemic or previous pandemics and changes in alcohol use. A systematic search of Medline and Embase was performed to identify cohort and cross-sectional population studies that examined changes in alcohol use during or following a pandemic compared to before a pandemic occurred. Outcomes examined included differences in the volume and frequency of alcohol consumption and the frequencies of heavy episodic drinking (HED) and alcohol-related problems during a pandemic compared to before a pandemic. Quality assessment was performed using the Cochrane Risk of Bias Tool for Nonrandomized Studies. This study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search yielded 672 articles; 27 were included in the narrative review, of which 6 were cohort studies (all from high-income countries). A total of 259,188 participants were included. All cohort studies examined the impact of COVID-19 and associated pandemic-related policies, including social distancing and alcohol-specific policies, on alcohol use. Cohort studies demonstrated a consistent significant decrease in total alcohol consumption (Australia) and a significant increase in the frequency of alcohol use (United States). A significant decrease in the frequency of HED was observed in Australia and Spain but not in the United States. A significant increase in the proportion of people with problematic alcohol use was observed in the United Kingdom. Initial insights into changes in alcohol use indicate substantial heterogeneity. Alcohol use may have decreased in some countries, while HED and the proportion of people with problematic alcohol use may have increased. The lack of high-quality studies from low- and middle-income countries reflects a dearth of information from countries inhabited by most of the world's population.

The Chronic Conditions Course: A Randomised Controlled Trial of an Internet-Delivered Transdiagnostic Psychological Intervention for People with Chronic Health Conditions.

INTRODUCTION: Psychological adjustment to chronic health conditions is important, as poor adjustment predicts a range of adverse medical and psychosocial outcomes. Psychological treatments demonstrate efficacy for people with chronic health conditions, but existing research takes a disorder-specific approach and they are predominately delivered in face-to-face contexts. The internet and remotely delivered treatments have the potential to overcome barriers to accessing traditional face-to-face treatment. OBJECTIVE: The current study examined the efficacy and acceptability of an internet-delivered transdiagnostic psychological intervention to promote adjustment to illness, based on cognitive behaviour therapy principles. METHODS: In a two-arm randomised controlled trial, participants (n = 676) were randomly allocated to the 8-week intervention or a waitlist control. Treatment included five core lessons, homework tasks, additional resources, and weekly contact with a psychologist. Primary outcomes included depression, anxiety, and disability, assessed at pre-treatment, post-treatment, 3-month follow-up, and 12-month follow-up. RESULTS: The treatment group reported significantly greater improvements in depression (between-groups d = 0.47), anxiety (d = 0.32), and disability (d = 0.17) at post-treatment (all ps <0.001). Improvements were sustained over the 3-month and 12-month follow-ups. High treatment completion rates (69%) and levels of satisfaction (86%) were reported by participants in treatment. The intervention required a mean clinician time of 56.70 min per participant. CONCLUSIONS: The findings provide preliminary and tentative support for the potential of internet-delivered transdiagnostic interventions to promote adjustment to chronic health conditions. Further research using robust control groups, and exploring the generalisability of findings, is needed before firm conclusions can be drawn.

Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis.

BACKGROUND: Mental health problems and substance use co-morbidities during and after the COVID-19 pandemic are a public health priority. Identifying individuals at high-risk of developing mental health problems and potential sequela can inform mitigating strategies. We aimed to identify distinct groups of individuals (i.e., latent classes) based on patterns of self-reported mental health symptoms and investigate their associations with alcohol and cannabis use. METHODS: We used data from six successive waves of a web-based cross-sectional survey of adults aged 18 years and older living in Canada (6,021 participants). We applied latent class analysis to three domains of self-reported mental health most likely linked to effects of the pandemic: anxiety, depression, and loneliness. Logistic regression was used to characterize latent class membership, estimate the association of class membership with alcohol and cannabis use, and perform sex-based analyses. RESULTS: We identified two distinct classes: (1) individuals with low scores on all three mental health indicators (no/low-symptoms) and (2) those reporting high scores across the three measures (high-symptoms). Between 73.9 and 77.1% of participants were in the no/low-symptoms class and 22.9-26.1% of participants were in the high-symptom class. We consistently found across all six waves that individuals at greater risk of being in the high-symptom class were more likely to report worrying about getting COVID-19 with adjusted odds ratios (aORs) between 1.72 (95%CI:1.17-2.51) and 3.51 (95%CI:2.20-5.60). Those aged 60 + were less likely to be in this group with aORs (95%CI) between 0.26 (0.15-0.44) and 0.48 (0.29-0.77) across waves. We also found some factors associated with class membership varied at different time points. Individuals in the high-symptom class were more likely to use cannabis at least once a week (aOR = 2.28, 95%CI:1.92-2.70), drink alcohol heavily (aOR = 1.71, 95%CI:1.49-1.96); and increase the use of cannabis (aOR = 3.50, 95%CI:2.80-4.37) and alcohol (aOR = 2.37, 95%CI:2.06-2.74) during the pandemic. Women in the high-symptom class had lower odds of drinking more alcohol during the pandemic than men. CONCLUSIONS: We identified the determinants of experiencing high anxiety, depression, and loneliness symptoms and found a significant association with alcohol and cannabis consumption. This suggests that initiatives and supports are needed to address mental health and substance use multi-morbidities.

Changes in Alcohol Consumption in Canada During the COVID-19 Pandemic: Associations With Anxiety and Self-Perception of Depression and Loneliness.

AIM: To examine whether changes in alcohol consumption in Canada since the start of the novel coronavirus disease (COVID-19) pandemic are associated with feelings of anxiety, depression, loneliness and/or with changes in employment due to COVID-19. METHODS: Data collection occurred between 29 May 2020 and 23 March 2021 via a web panel, AskingCanadians, which sampled 5892 adults (≥18 years of age). Data were collected on changes in alcohol consumption compared to before the pandemic (ordinal variable ranging from 1='much less alcohol' to 5='much more alcohol'), anxiety (General Anxiety Disorder-7), self-perceived depression (Center for Epidemiologic Studies Depression Scale), self-perceived loneliness, changes in employment status due to COVID-19 and socio-demographic variables (age, gender, living situation, household income and urban vs rural residence). Multivariate associations were assessed using ordinal logistic regression. Effect modification by gender was tested using likelihood-ratio tests. RESULTS: Changes in alcohol consumption were positively associated with anxiety, feeling depressed and loneliness. In particular, people with mild to moderate (ordered Odds Ratio (OR):1.23, 95% Confidence Interval (CI):1.07, 1.62) or severe anxiety (ordered OR:1.49, 95% CI:1.15, 1.93) had a greater odds of increased drinking than did people with no to low levels of anxiety. Gender, age, household income, living situation and survey wave were also associated with changes in drinking. No effect modifications by gender were observed. CONCLUSION: Given the health harms caused by alcohol use, public health practitioners and primary care physicians should focus health messaging to identify and support individuals at risk of increased alcohol consumption, especially people experiencing depression, loneliness or anxiety.

Geographic inequalities in paediatric emergency department visits in Ontario and Alberta: a multilevel analysis of 2.5 million visits.

BACKGROUND: Research on intra- and inter-regional variations in emergency department (ED) visits among children can provide a better understanding of the patterns of ED utilization and further insight into how contextual features of the urban environment may be associated with these health events. Our objectives were to assess intra-urban and inter-urban variation in paediatric emergency department (PED) visits in census metropolitan areas (CMAs) in Ontario and Alberta, Canada and explore if contextual factors related to material and social deprivation, proximity to healthcare facilities, and supply of family physicians explain this variation. METHODS: A retrospective, population-based analysis of data on PED visits recorded between April 1, 2015 and March 31, 2017 was conducted. Random intercept multilevel regression models were constructed to quantify the intra- (between forward sortation areas [FSAs]) and inter- (between CMAs) variations in the rates of PED visits. RESULTS: In total, 2,537,442 PED visits were included in the study. The overall crude FSA-level rate of PED visits was 415.4 per 1,000 children population. Across CMAs, the crude rate of PED visits was highest in Thunder Bay, Ontario (771.6) and lowest in Windsor, Ontario (237.2). There was evidence of substantial intra- and inter-urban variation in the rates of PED visits. More socially deprived FSAs, FSAs with decreased proximity to healthcare facilities, and CMAs with a higher rate of family physicians per 1,000 children population had higher rates of PED visits. CONCLUSIONS: The variation in rates of PED visits across CMAs and FSAs cannot be fully accounted for by age and sex distributions, material and social deprivation, proximity to healthcare facilities, or supply of family physicians. There is a need to explore additional contextual factors to better understand why some metropolitan areas have higher rates of PED visits.

Association between efficiency and quality of care of public healthcare facilities: Evidence from Pakistan.

BACKGROUND: Maternal and child health is an important component of the Sustainable Development Goals. Pakistan has one of the worst maternal and neonatal health outcomes in the world. This is despite significant health system investments across the country. AIMS: The objectives of this study are twofold. First, the study estimates the technical efficiency of the public healthcare facilities in Pakistan, defined as the number of obstetric deliveries compared to the number of medical specialists, nurses, and other health and non-health staff members. Second, the study evaluates the relationship between efficiency and quality of care; the latter is measured in terms of maternal and neonatal mortality. MATERIALS & METHODS: The data were taken from the Pakistan Health Facility Assessment Survey. Efficiency score was calculated for 843 public healthcare facilities, using Stochastic Frontier Analysis. We then used two-stage residual inclusion approach with bootstrapping to evaluate the relationship between efficiency and quality. RESULTS AND DISCUSSION: The average efficiency score was 0.48 (range: 0-1) and none of the public healthcare facilities were on the frontier, implying that efficiency gains can be made across the board. The relationship between efficiency and quality is found to be positive and statistically significant, that is, more efficient healthcare facilities also had lower rates of maternal and neonatal mortality. CONCLUSION: We conclude that more efficient public healthcare facilities also had lower mortality rates, probably due to better infrastructure and health system financing.

Prognostic models for predicting relapse or recurrence of major depressive disorder in adults.

BACKGROUND: Relapse (the re-emergence of depressive symptoms after some level of improvement but preceding recovery) and recurrence (onset of a new depressive episode after recovery) are common in depression, lead to worse outcomes and quality of life for patients and exert a high economic cost on society. Outcomes can be predicted by using multivariable prognostic models, which use information about several predictors to produce an individualised risk estimate. The ability to accurately predict relapse or recurrence while patients are well (in remission) would allow the identification of high-risk individuals and may improve overall treatment outcomes for patients by enabling more efficient allocation of interventions to prevent relapse and recurrence. OBJECTIVES: To summarise the predictive performance of prognostic models developed to predict the risk of relapse, recurrence, sustained remission or recovery in adults with major depressive disorder who meet criteria for remission or recovery. SEARCH METHODS: We searched the Cochrane Library (current issue); Ovid MEDLINE (1946 onwards); Ovid Embase (1980 onwards); Ovid PsycINFO (1806 onwards); and Web of Science (1900 onwards) up to May 2020. We also searched sources of grey literature, screened the reference lists of included studies and performed a forward citation search. There were no restrictions applied to the searches by date, language or publication status . SELECTION CRITERIA: We included development and external validation (testing model performance in data separate from the development data) studies of any multivariable prognostic models (including two or more predictors) to predict relapse, recurrence, sustained remission, or recovery in adults (aged 18 years and over) with remitted depression, in any clinical setting. We included all study designs and accepted all definitions of relapse, recurrence and other related outcomes. We did not specify a comparator prognostic model. DATA COLLECTION AND ANALYSIS: Two review authors independently screened references; extracted data (using a template based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS)); and assessed risks of bias of included studies (using the Prediction model Risk Of Bias ASsessment Tool (PROBAST)). We referred any disagreements to a third independent review author. Where we found sufficient (10 or more) external validation studies of an individual model, we planned to perform a meta-analysis of its predictive performance, specifically with respect to its calibration (how well the predicted probabilities match the observed proportions of individuals that experience the outcome) and discrimination (the ability of the model to differentiate between those with and without the outcome). Recommendations could not be qualified using the GRADE system, as guidance is not yet available for prognostic model reviews. MAIN RESULTS: We identified 11 eligible prognostic model studies (10 unique prognostic models). Seven were model development studies; three were model development and external validation studies; and one was an external validation-only study. Multiple estimates of performance measures were not available for any of the models and, meta-analysis was therefore not possible. Ten out of the 11 included studies were assessed as being at high overall risk of bias. Common weaknesses included insufficient sample size, inappropriate handling of missing data and lack of information about discrimination and calibration. One paper (Klein 2018) was at low overall risk of bias and presented a prognostic model including the following predictors: number of previous depressive episodes, residual depressive symptoms and severity of the last depressive episode. The external predictive performance of this model was poor (C-statistic 0.59; calibration slope 0.56; confidence intervals not reported). None of the identified studies examined the clinical utility (net benefit) of the developed model. AUTHORS' CONCLUSIONS: Of the 10 prognostic models identified (across 11 studies), only four underwent external validation. Most of the studies (n = 10) were assessed as being at high overall risk of bias, and the one study that was at low risk of bias presented a model with poor predictive performance. There is a need for improved prognostic research in this clinical area, with future studies conforming to current best practice recommendations for prognostic model development/validation and reporting findings in line with the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement.

The RESPECT study: a feasibility randomised controlled trial of a sexual health promotion intervention for people with serious mental illness in community mental health services in the UK.

BACKGROUND: People with serious mental illness (SMI) have sexual health needs but there is little evidence to inform effective interventions to address them. In fact, there are few studies that have addressed this topic for people with SMI outside USA and Brazil. Therefore, the aim of the study was to establish the acceptability and feasibility of a trial of a sexual health promotion intervention for people with SMI in the UK. METHOD: The RESPECT study was a two-armed randomised controlled, open feasibility trial (RCT) comparing Sexual health promotion intervention (3 individual sessions of 1 h) (I) or treatment as usual (TAU) for adults aged 18 or over, with SMI, within community mental health services in four UK cities. The main outcome of interest was the percentage who consented to participate, and retained in each arm of the trial, retention for the intervention, and completeness of data collection. A nested qualitative study obtained the views of participants regarding the acceptability of the study using individual telephone interviews conducted by lived experience researchers. RESULTS: Of a target sample of 100, a total of 72 people were enrolled in the trial over 12 months. Recruitment in the initial months was low and so an extension was granted. However this extension meant that the later recruited participants would only be followed up to the 3 month point. There was good retention in the intervention and the study as a whole; 77.8% of those allocated to intervention (n = 28) received it. At three months, 81.9% (30 I; 29 TAU) and at 6 months, 76.3% (13 I and 16 TAU) completed the follow-up data collection. No adverse events were reported. There was good completeness of the data. The sexual health outcomes for the intervention group changed in favour of the intervention. Based on analysis of the qualitative interviews, the methods of recruitment, the quality of the participant information, the data collection, and the intervention were deemed to be acceptable to the participants (n = 22). CONCLUSIONS: The target of 100 participants was not achieved within the study's timescale. However, effective strategies were identified that improved recruitment in the final few months. Retention rates and completeness of data in both groups indicate that it is acceptable and feasible to undertake a study promoting sexual health for people with SMI. A fully powered RCT is required to establish effectiveness of the intervention in adoption of safer sex. STUDY REGISTRATION: ISRCTN Registry ISRCTN15747739 prospectively registered 5th July 2016.

Frequency and Impact of Cerebral Infarctions in Patients With Tuberculous Meningitis.

Background and Purpose- Cerebral infarctions complicate a variable proportion of tuberculous meningitis (TBM) cases and adversely affect outcomes. The objective of this study was to evaluate the predictors of cerebral infarcts in patients with TBM and to assess their impact on mortality. Methods- The study was based on a retrospective chart review of all patients with TBM admitted to a tertiary care hospital between 2002 and 2013. Data were collected on basic demographics, conventional vascular risk factors, radiological findings, severity of TBM, and neurological outcomes. Data were analyzed using SPSS version 19.0. Binary logistic regression was done to determine the factors predictive of cerebral infarcts and of mortality in patients with TBM. Results- A total of 559 patients were admitted with TBM during the study period. Mean age was 41.9 years (SD, 17.7 years), and 47% were women. A quarter of the patients had stage III disease. One hundred forty-four (25.8%) patients had cerebral infarcts on brain imaging of which 3 quarters were acute or subacute. Those with cerebral infarcts were more likely to be >40 years of age (adjusted odds ratio [AOR], 1.7; 95% CI, 1.1-2.7) and to have hypertension (AOR, 1.8; 95% CI, 1.1-2.8), dyslipidemia (AOR, 9.7; 95% CI, 3.8-24.8), and diabetes mellitus (AOR, 2.2; 95% CI, 1.3-3.6). Presence of cerebral infarction was an independent predictor of mortality among patients with TBM (AOR, 2.1; 95% CI, 1.22-3.5). Conclusions- Cerebral infarcts complicate a substantial proportion of TBM cases. Conventional vascular risk factors are the most important predictors of infarction, and future efforts need to focus on these high-risk patients with TBM to reduce morbidity and mortality.

E-learning and health inequality aversion: A questionnaire experiment.

In principle, questionnaire data on public views about hypothetical trade-offs between improving total health and reducing health inequality can provide useful normative health inequality aversion parameter benchmarks for policymakers faced with real trade-offs of this kind. However, trade-off questions can be hard to understand, and one standard type of question finds that a high proportion of respondents-sometimes a majority-appear to give exclusive priority to reducing health inequality. We developed and tested two e-learning interventions designed to help respondents understand this question more completely. The interventions were a video animation, exposing respondents to rival points of view, and a spreadsheet-based questionnaire that provided feedback on implied trade-offs. We found large effects of both interventions in reducing the proportion of respondents giving exclusive priority to reducing health inequality, though the median responses still implied a high degree of health inequality aversion and-unlike the video-the spreadsheet-based intervention introduced a substantial new minority of non-egalitarian responses. E-learning may introduce as well as avoid biases but merits further research and may be useful in other questionnaire studies involving trade-offs between conflicting values.

A randomized controlled trial comparing EMDR and CBT for obsessive-compulsive disorder.

BACKGROUND: This study aimed to evaluate eye movement desensitization and reprocessing (EMDR) as a treatment for obsessive-compulsive disorder (OCD), by comparison to cognitive behavioural therapy (CBT) based on exposure and response prevention. METHOD: This was a pragmatic, feasibility randomized controlled trial in which 55 participants with OCD were randomized to EMDR (n = 29) or CBT (n = 26). The Yale-Brown obsessive-compulsive scale was completed at baseline, after treatment and at 6 months follow-up. Treatment completion and response rates were compared using chi-square tests. Effect size was examined using Cohen's d and multilevel modelling. RESULTS: Overall, 61.8% completed treatment and 30.2% attained reliable and clinically significant improvement in OCD symptoms, with no significant differences between groups (p > .05). There were no significant differences between groups in Yale-Brown obsessive-compulsive scale severity post-treatment (d = -0.24, p = .38) or at 6 months follow-up (d = -0.03, p = .90). CONCLUSIONS: EMDR and CBT had comparable completion rates and clinical outcomes.

Eliciting the Level of Health Inequality Aversion in England.

Health inequality aversion parameters can be used to represent alternative value judgements about policy concern for reducing health inequality versus improving total health. In this study, we use data from an online survey of the general public in England (n = 244) to elicit health inequality aversion parameters for both Atkinson and Kolm social welfare functions. We find median inequality aversion parameters of 10.95 for Atkinson and 0.15 for Kolm. These values suggest substantial concern for health inequality among the English general public which, at current levels of quality adjusted life expectancy, implies weighting health gains to the poorest fifth of people in society six to seven times as highly as health gains to the richest fifth. Copyright © 2016 John Wiley & Sons, Ltd.

On poverty, politics and psychology: the socioeconomic gradient of mental healthcare utilisation and outcomes.

Since 2008, the Improving Access to Psychological Therapies (IAPT) programme has disseminated evidence-based interventions for depression and anxiety problems. In order to maintain quality standards, government policy in England sets the expectation that 50% of treated patients should meet recovery criteria according to validated patient-reported outcome measures. Using national IAPT data, we found evidence suggesting that the prevalence of mental health problems is greater in poorer areas and that these areas had lower average recovery rates. After adjusting benchmarks for local index of multiple deprivation, we found significant differences between unadjusted (72.5%) and adjusted (43.1%) proportions of underperforming clinical commissioning group areas.

Smokeless Tobacco Supply Chain in South Asia: A Comparative Analysis Using the WHO Framework Convention on Tobacco Control.

INTRODUCTION: Most South Asian countries are signatories to the WHO Framework Convention for Tobacco Control (FCTC). However, there is little information on the extent to which FCTC standards are effectively implemented for controlling smokeless tobacco (SLT)-used by over 250 million people in the region. We assessed the feasibility of a novel approach based on interviewing the key actors of SLT supply chain and analyzing its findings using standards set by FCTC. METHODS: Using a snowball-sampling technique, we interviewed point-of-sale vendors, wholesale retailers, manufacturers, raw-tobacco retailers, and farmers involved in the supply chain of SLT in Bangladesh, Nepal, and Pakistan. Using a structured-questionnaire, participants were asked about their customer profiles; product types; marketing practices; suppliers; profit margins, awareness and adherence to legislation. RESULTS: We recruited 72% (130/180) of all supply chain actors approached. Findings indicate several loopholes in the existing taxation, regulatory, and inspection systems. A significant proportion of smuggled and counterfeit SLT products are available in the market. Most SLT products are sold without recommended warnings, information on their ingredients, and manufacturers' details. There appear to be no restrictions on sale of SLT products to minors. On the other hand, there are also several incentives built-in the supply chain that makes tobacco farming, SLT manufacturing, and its sale a profitable business. CONCLUSIONS: Our novel approach to study SLT control was successful in identifying and interviewing actors involved in its supply chain. The analysis using FCTC could provide valuable information to policy makers and enable them to effectively regulate SLT products.

Clinical and cost-effectiveness of compression hosiery versus compression bandages in treatment of venous leg ulcers (Venous leg Ulcer Study IV, VenUS IV): a randomised controlled trial.

BACKGROUND: Drawbacks exist with the standard treatment (four-layer compression bandages) for venous leg ulcers. We have therefore compared the clinical effectiveness and cost-effectiveness of two-layer compression hosiery with the four-layer bandage for the treatment of such ulcers. METHODS: We undertook this pragmatic, open, randomised controlled trial with two parallel groups in 34 centres in England and Northern Ireland. The centres were community nurse teams or services, family doctor practices, leg ulcer clinics, tissue viability clinics or services, and wound clinics. Participants were aged 18 years or older with a venous leg ulcer and an ankle brachial pressure index of at least 0·8, and were tolerant of high compression. We randomly allocated participants (1:1) to receive two-layer compression hosiery or a four-layer bandage, using a remote randomisation service and prevalidated computer randomisation program. Participants were stratified by ulcer duration and ulcer area with permuted blocks (block sizes four and six). The primary endpoint was time to ulcer healing, with a maximum follow-up of 12 months. Although participants and health-care providers were not masked to treatment allocation, the primary endpoint was measured by masked assessment of photographs. Primary analysis was intention to treat with Cox regression, with adjustment for ulcer area, ulcer duration, physical mobility, and centre. This trial is registered with the ISRCTN register, number ISRCTN49373072. FINDINGS: We randomly allocated 457 participants to the two treatment groups: 230 to two-layer hosiery and 227 to the four-layer bandage, of whom 453 (230 hosiery and 223 bandage) contributed data for analysis. Median time to ulcer healing was 99 days (95% CI 84-126) in the hosiery group and 98 days (85-112) in the bandage group, and the proportion of ulcers healing was much the same in the two groups (70·9% hosiery and 70·4% bandage). More hosiery participants changed their allocated treatment (38·3% hosiery vs 27·0% bandage; p=0·02). 300 participants had 895 adverse events, of which 85 (9·5%) were classed as serious but unrelated to trial treatment. INTERPRETATION: Two-layer compression hosiery is a viable alternative to the four-layer bandage-it is equally as effective at healing venous leg ulcers. However, a higher rate of treatment changes in participants in the hosiery group than in the bandage group suggests that hosiery might not be suitable for all patients. FUNDING: NIHR Health Technology Assessment programme (07/60/26).

Can Low-Cost Strategies Improve Attendance Rates in Brief Psychological Therapy? Double-Blind Randomized Controlled Trial.

OBJECTIVES: To assess if telephone text message appointment reminders and orientation leaflets can increase the proportion of patients who attend brief interventions after being assessed as suitable for guided self-help following cognitive behavioral therapy principles. METHOD: Attendance was operationally defined as having accessed at least 1 therapy appointment. A secondary outcome was the proportion of attenders who completed or dropped out of therapy. After initial assessment, 254 patients with depression and anxiety disorders were randomly assigned to 1 of 3 groups: (a) usual waitlist control, (b) leaflet, (c) leaflet plus text message. Differences in the proportions of patients who started and completed therapy across groups were assessed using chi-square and logistic regression analyses. RESULTS: Overall, 63% of patients in this sample attended therapy. Between-group differences were not significant for attendance, x(2) (2) = 3.94, p = .14, or completion rates, x(2) (2) = 2.98, p = .23. These results were not confounded by demographic or clinical characteristics. CONCLUSIONS: Low-cost strategies appear to make no significant difference to therapy attendance and completion rates.