Antenatal couples' counselling in Uganda (ACCU): study protocol for a randomised controlled feasibility trial.

BACKGROUND: Common avoidable factors leading to maternal, perinatal and neonatal deaths include lack of birth planning (and delivery in an inappropriate place) and unmet need for contraception. Progress has been slow because routine antenatal care has focused only on women. Yet, in Uganda, many women first want the approval of their husbands. The World Health Organization recommends postpartum family planning (PPFP) as a critical component of health care. The aim of this trial is to test the feasibility of recruiting and retaining participants in a trial of a complex community-based intervention to provide counselling to antenatal couples in Uganda. METHODS: This is a two-group, non-blinded cluster-randomised controlled feasibility trial of a complex intervention. Primary health centres in Uganda will be randomised to receive the intervention or usual care provided by the Ministry of Health. The intervention consists of training village health teams to provide basic counselling to couples at home, encouraging men to accompany their wives to an antenatal clinic, and secondly of training health workers to provide information and counselling to couples at antenatal clinics, to facilitate shared decision-making on the most appropriate place of delivery, and postpartum contraception. We aim to recruit 2 health centres in each arm, each with 10 village health teams, each of whom will aim to recruit 35 pregnant women (a total of 700 women per arm). The village health teams will follow up and collect data on pregnant women in the community up to 12 months after delivery and will directly enter the data using the COSMOS software on a smartphone. DISCUSSION: This intervention addresses two key avoidable factors in maternal, perinatal and neonatal deaths (lack of family planning and inappropriate place of delivery). Determining the acceptability and feasibility of antenatal couples' counselling in this study will inform the design of a fully randomised controlled clinical trial. If this trial demonstrates the feasibility of recruitment and delivery, we will seek funding to conduct a fully powered trial of the complex intervention for improving uptake of birth planning and postpartum family planning in Uganda. TRIAL REGISTRATION: Pan African Clinical Trials Registry PACTR202102794681952 . Approved on 10 February 2021. ISRCTN Registry ISRCTN97229911. Registered on 23 September 2021

Effectiveness of enhanced diabetes care to patients of South Asian ethnicity : the United Kingdom Asian Diabetes Study (UKADS) : a cluster randomised controlled trial

Background: Delivering high quality and evidence based healthcare to deprived sectors of the community is a major goal for society. We investigated the effectiveness of a culturally sensitive enhanced care package in UK general practice in improving cardiovascular risk factors in South Asian patients with type 2 diabetes. Methods: 21 inner city practices were randomised to intervention (enhanced practice nurse time, link worker and diabetes specialist nurse support) (n=868) or control (standard care) (n=618) groups. Prescribing algorithms with clearly defined targets were provided for all practices. Main outcome measures comprised changes in blood pressure, total cholesterol and glycaemic control (HbA1c) after 2 years. Findings: At baseline, groups were similar with respect to age, sex and cardiovascular risk factors. Comparing treatment groups, after adjustment for confounders, and clustering, differences in diastolic blood pressure (1.91mmHg, P=0.0001) and mean arterial pressure (1.36mmHg, P=0.0180) were significant. There were no significant differences between groups for total cholesterol or HbA1c. Economic analysis indicates the nurse-led intervention was not cost-effective. Across the whole study population systolic blood pressure, diastolic blood pressure and cholesterol decreased significantly by 4.9mmHg, 3.8mmHg and 0.45mmol/L respectively, but there was no change in HbA1c. Interpretation: Additional, although limited, benefits were observed from our culturally enhanced care package over and above the secular changes achieved in the UK in recent years. Stricter targets in general practice and further measures to motivate patients are needed to maximise healthcare outcomes in South Asian patients with diabetes

Impact of a hospice rapid response service on preferred place of death, and costs

Background: Many people with a terminal illness would prefer to die at home. A new palliative rapid response service (RRS) provided by a large hospice provider in South East England was evaluated (2010) to provide evidence of impact on achieving preferred place of death and costs. The RRS was delivered by a team of trained health care assistants and available 24/7. The purpose of this study was to (i) compare the characteristics of RRS users and non-users, (ii) explore differences in the proportions of users and non-users dying in the place of their choice, (iii) monitor the whole system service utilisation of users and non-users, and compare costs. Methods: All hospice patients who died with a preferred place of death recorded during an 18 month period were included. Data (demographic, preferences for place of death) were obtained from hospice records. Dying in preferred place was modelled using stepwise logistic regression analysis. Service use data (period between referral to hospice and death) were obtained from general practitioners, community providers, hospitals, social services, hospice, and costs calculated using validated national tariffs. Results: Of 688 patients referred to the hospice when the RRS was operational, 247 (35.9 %) used it. Higher proportions of RRS users than non-users lived in their own homes with a co-resident carer (40.3 % vs. 23.7 %); more non-users lived alone or in residential care (58.8 % vs. 76.3 %). Chances of dying in the preferred place were enhanced 2.1 times by being a RRS user, compared to a non-user, and 1.5 times by having a co-resident carer, compared to living at home alone or in a care home. Total service costs did not differ between users and non-users, except when referred to hospice very close to death (users had higher costs). Conclusions: Use of the RRS was associated with increased likelihood of dying in the preferred place. The RRS is cost neutral

An intervention program to reduce the number of hospitalizations of elderly patients in a primary care clinic

<p>Abstract</p> <p>Background</p> <p>The elderly population consumes a large share of medical resources in the western world. A significant portion of the expense is related to hospitalizations.</p> <p>Objectives</p> <p>To evaluate an intervention program designed to reduce the number of hospitalization of elderly patients by a more optimal allocation of resources in primary care.</p> <p>Methods</p> <p>A multidimensional intervention program was conducted that included the re-engineering of existing work processes with a focus on the management of patient problems, improving communication with outside agencies, and the establishment of a system to monitor quality of healthcare parameters. Data on the number of hospitalizations and their cost were compared before and after implementation of the intervention program.</p> <p>Results</p> <p>As a result of the intervention the mean expenditure per elderly patient was reduced by 22.5%. The adjusted number of hospitalizations/1,000 declined from 15.1 to 10.7 (29.3%). The number of adjusted hospitalization days dropped from 132 to 82 (37.9%) and the mean hospitalization stay declined from 8.2 to 6.7 days (17.9%). The adjusted hospitalization cost ($/1,000 patients) dropped from$32,574 to $18,624 (42.8%). The overall clinic expense, for all age groups, dropped by 9.9%.</p> <p>Conclusion</p> <p>Implementation of the intervention program in a single primary care clinic led to a reduction in hospitalizations for the elderly patient population and to a more optimal allocation of healthcare resources.</p

Infinite mixture-of-experts model for sparse survival regression with application to breast cancer

BACKGROUND: We present an infinite mixture-of-experts model to find an unknown number of sub-groups within a given patient cohort based on survival analysis. The effect of patient features on survival is modeled using the Cox's proportionality hazards model which yields a non-standard regression component. The model is able to find key explanatory factors (chosen from main effects and higher-order interactions) for each sub-group by enforcing sparsity on the regression coefficients via the Bayesian Group-Lasso. RESULTS: Simulated examples justify the need of such an elaborate framework for identifying sub-groups along with their key characteristics versus other simpler models. When applied to a breast-cancer dataset consisting of survival times and protein expression levels of patients, it results in identifying two distinct sub-groups with different survival patterns (low-risk and high-risk) along with the respective sets of compound markers. CONCLUSIONS: The unified framework presented here, combining elements of cluster and feature detection for survival analysis, is clearly a powerful tool for analyzing survival patterns within a patient group. The model also demonstrates the feasibility of analyzing complex interactions which can contribute to definition of novel prognostic compound markers

A randomised controlled trial of a patient based Diabetes recall and Management system: the DREAM trial: A study protocol [ISRCTN32042030]

BACKGROUND: Whilst there is broad agreement on what constitutes high quality health care for people with diabetes, there is little consensus on the most efficient way of delivering it. Structured recall systems can improve the quality of care but the systems evaluated to date have been of limited sophistication and the evaluations have been carried out in small numbers of relatively unrepresentative settings. Hartlepool, Easington and Stockton currently operate a computerised diabetes register which has to date produced improvements in the quality of care but performance has now plateaued leaving substantial scope for further improvement. This study will evaluate the effectiveness and efficiency of an area wide 'extended' system incorporating a full structured recall and management system, actively involving patients and including clinical management prompts to primary care clinicians based on locally-adapted evidence based guidelines. METHODS: The study design is a two-armed cluster randomised controlled trial of 61 practices incorporating evaluations of the effectiveness of the system, its economic impact and its impact on patient wellbeing and functioning

Applying Bayesian model averaging for uncertainty estimation of input data in energy modelling

Background Energy scenarios that are used for policy advice have ecological and social impact on society. Policy measures that are based on modelling exercises may lead to far reaching financial and ecological consequences. The purpose of this study is to raise awareness that energy modelling results are accompanied with uncertainties that should be addressed explicitly. Methods With view to existing approaches of uncertainty assessment in energy economics and climate science, relevant requirements for an uncertainty assessment are defined. An uncertainty assessment should be explicit, independent of the assessor&#8217;s expertise, applicable to different models, including subjective quantitative and statistical quantitative aspects, intuitively understandable and be reproducible. Bayesian model averaging for input variables of energy models is discussed as method that satisfies these requirements. A definition of uncertainty based on posterior model probabilities of input variables to energy models is presented. Results The main findings are that (1) expert elicitation as predominant assessment method does not satisfy all requirements, (2) Bayesian model averaging for input variable modelling meets the requirements and allows evaluating a vast amount of potentially relevant influences on input variables and (3) posterior model probabilities of input variable models can be translated in uncertainty associated with the input variable. Conclusions An uncertainty assessment of energy scenarios is relevant if policy measures are (partially) based on modelling exercises. Potential implications of these findings include that energy scenarios could be associated with uncertainty that is presently neither assessed explicitly nor communicated adequately

Malignant Catarrhal Fever Induced by Alcelaphine herpesvirus 1 Is Associated with Proliferation of CD8+ T Cells Supporting a Latent Infection

Alcelaphine herpesvirus 1 (AlHV-1), carried by wildebeest asymptomatically, causes malignant catarrhal fever (WD-MCF) when cross-species transmitted to a variety of susceptible species of the Artiodactyla order. Experimentally, WD-MCF can be induced in rabbits. The lesions observed are very similar to those described in natural host species. Here, we used the rabbit model and in vivo 5-Bromo-2′-Deoxyuridine (BrdU) incorporation to study WD-MCF pathogenesis. The results obtained can be summarized as follows. (i) AlHV-1 infection induces CD8+ T cell proliferation detectable as early as 15 days post-inoculation. (ii) While the viral load in peripheral blood mononuclear cells remains below the detection level during most of the incubation period, it increases drastically few days before death. At that time, at least 10% of CD8+ cells carry the viral genome; while CD11b+, IgM+ and CD4+ cells do not. (iii) RT-PCR analyses of mononuclear cells isolated from the spleen and the popliteal lymph node of infected rabbits revealed no expression of ORF25 and ORF9, low or no expression of ORF50, and high or no expression of ORF73. Based on these data, we propose a new model for the pathogenesis of WD-MCF. This model relies on proliferation of infected CD8+ cells supporting a predominantly latent infection

The PreCardio-study protocol – a randomized clinical trial of a multidisciplinary electronic cardiovascular prevention programme

<p>Abstract</p> <p>Background</p> <p>Cardiovascular diseases (CVD) are the leading cause of death and the third cause of disability in Europe. Prevention programmes should include interventions aimed at a reduction of medical risk factors (hypertension, hypercholesterol, hyperglycemia, overweight and obesity) as well as behavioural risk factors (sedentary lifestyle, high fat intake and low fruit and vegetable intake, smoking). The aim of this study is to investigate the effects of a multifaceted, multidisciplinary electronic prevention programme on cardiovascular risk factors.</p> <p>Methods/Design</p> <p>In a randomized controlled trial, one group will receive a maximal intervention (= intervention group). The intervention group will be compared to the control group receiving a minimal intervention. An inclusion of 350 patients in total, with a follow-up of 3 years is foreseen. The inclusion criteria are age between 25–65 and insured by the Onderlinge Ziekenkas, insuring for guaranteed income in case of illness for self-employed. The maximal intervention group receives several prevention consultations by their general practitioner (GP) using a new type of cardiovascular risk calculator with personalised feedback on behavioural risk factors. These patients receive a follow-up with intensive support of health behaviour change via different methods, i.e. a tailored website and personal advice of a multidisciplinary team (psychologist, physiotherapist and dietician). The aim of this strategy is to reduce cardiovascular risk factors according to the guidelines. The primary outcome measures will be cardiovascular risk factors. The secondary outcome measures are cardiovascular events, quality of life, costs and incremental cost effectiveness ratios. The control group receives prevention consultations using a new type of cardiovascular risk calculator and general feedback.</p> <p>Discussion</p> <p>This trial incorporates interventions by GPs and other health professionals aiming at a reduction of medical and behavioural cardiovascular risk factors. An assessment of clinical, psychological and economical outcome measures will be performed.</p> <p>Trial registration</p> <p>ISRCTN23940498</p