Health and Social Care Diversity Among Individuals with Longstanding Physical and Psychological Health Problems: Pooled Repeated Cross Sectional Analyses.

This paper examines differences in health-and-social care utilisation for individuals with physical and/or mental health problems. Logistic regression models are used to determine disparity in the percentage of General Household/Lifestyle Survey participants with physical compared to mental health problems receiving disability benefits or health care services between 2000 and 2011. Our findings of a relative underutilisation of secondary health care combined with a relative overutilization of out-of-work benefits by individuals with mental health problems is novel to the field of rehabilitative health care. These results provide evidence for the previously suspected disparity in health care utilisation of individuals with mental health problems and indicate problems in labour force integration. The findings support the political call for a 'parity of esteem', which, in Britain, was enshrined in the Health and Social Care Act of 2012.

Assessment of Multiple Membership Multilevel Models: An Application to Interviewer Effects on Nonresponse.

Multilevel multiple membership models account for situations where lower level units are nested within multiple higher level units from the same classification. Not accounting correctly for such multiple membership structures leads to biased results. The use of a multiple membership model requires selection of weights reflecting the hypothesized contribution of each level two unit and their relationship to the level one outcome. The Deviance Information Criterion (DIC) has been proposed to identify such weights. For the case of logistic regression, this study assesses, through simulation, the model identification rates of the DIC to detect the correct multiple membership weights, and the properties of model variance estimators for different weight specifications across a range of scenarios. The study is motivated by analyzing interviewer effects across waves in a longitudinal study. Interviewers can substantially influence the behavior of sample survey respondents, including their decision to participate in the survey. In the case of a longitudinal survey several interviewers may contact sample members to participate across different waves. Multilevel multiple membership models are suitable to account for the inclusion of higher-level random effects for interviewers at various waves, and to assess, for example, the relative importance of previous and current wave interviewers on current wave nonresponse. To illustrate the application, multiple membership models are applied to the UK Family and Children Survey to identify interviewer effects in a longitudinal study. The paper takes a critical view on the substantive interpretation of the model weights and provides practical guidance to statistical modelers. The main recommendation is that it is best to specify the weights in a multiple membership model by exploring different weight specifications based on the DIC, rather than prespecifying the weights.

An internet-based intervention with brief nurse support to manage obesity in primary care (POWeR+): a pragmatic, parallel-group, randomised controlled trial.

BACKGROUND: The obesity epidemic has major public health consequences. Expert dietetic and behavioural counselling with intensive follow-up is effective, but resource requirements severely restrict widespread implementation in primary care, where most patients are managed. We aimed to estimate the effectiveness and cost-effectiveness of an internet-based behavioural intervention (POWeR+) combined with brief practice nurse support in primary care. METHODS: We did this pragmatic, parallel-group, randomised controlled trial at 56 primary care practices in central and south England. Eligible adults aged 18 years or older with a BMI of 30 kg/m(2) or more (or ≥28 kg/m(2) with hypertension, hypercholesterolaemia, or diabetes) registered online with POWeR+-a 24 session, web-based, weight management intervention lasting 6 months. After registration, the website automatically randomly assigned patients (1:1:1), via computer-generated random numbers, to receive evidence-based dietetic advice to swap foods for similar, but healthier, choices and increase fruit and vegetable intake, in addition to 6 monthly nurse follow-up (control group); web-based intervention and face-to-face nurse support (POWeR+Face-to-face [POWeR+F]; up to seven nurse contacts over 6 months); or web-based intervention and remote nurse support (POWeR+Remote [POWeR+R]; up to five emails or brief phone calls over 6 months). Participants and investigators were masked to group allocation at the point of randomisation; masking of participants was not possible after randomisation. The primary outcome was weight loss averaged over 12 months. We did a secondary analysis of weight to measure maintenance of 5% weight loss at months 6 and 12. We modelled the cost-effectiveness of each intervention. We did analysis by intention to treat, with multiple imputation for missing data. This trial is registered as an International Standard Randomised Controlled Trial, number ISRCTN21244703. FINDINGS: Between Jan 30, 2013, and March 20, 2014, 818 participants were randomly assigned to the control group (n=279), the POWeR+F group (n=269), or the POWeR+R group (n=270). Weight loss averaged over 12 months was recorded in 666 (81%) participants. The control group lost almost 3 kg over 12 months (crude mean weight: baseline 104·38 kg [SD 21·11; n=279], 6 months 101·91 kg [19·35; n=136], 12 months 101·74 kg [19·57; n=227]). The primary imputed analysis showed that compared with the control group, patients in the POWeR+F group achieved an additional weight reduction of 1·5 kg (95% CI 0·6-2·4; p=0·001) averaged over 12 months, and patients in the POWeR+R group achieved an additional 1·3 kg (0·34-2·2; p=0·007). 21% of patients in the control group had maintained a clinically important 5% weight reduction at month 12, compared with 29% of patients in the POWeR+F group (risk ratio 1·56, 0·96-2·51; p=0·070) and 32% of patients in the POWeR+R group (1·82, 1·31-2·74; p=0·004). The incremental overall cost to the health service per kg weight lost with the POWeR+ interventions versus the control strategy was £18 (95% CI -129 to 195) for POWeR+F and -£25 (-268 to 157) for POWeR+R; the probability of being cost-effective at a threshold of £100 per kg lost was 88% and 98%, respectively. No adverse events were reported. INTERPRETATION: Weight loss can be maintained in some individuals by use of novel written material with occasional brief nurse follow-up. However, more people can maintain clinically important weight reductions with a web-based behavioural program and brief remote follow-up, with no increase in health service costs. Future research should assess the extent to which clinically important weight loss can be maintained beyond 1 year. FUNDING: Health Technology Assessment Programme of the National Institute for Health Research.

Orphanhood and vulnerability: a conduit to poor child health outcomes in Rwanda.

The HIV epidemic in sub-Saharan Africa has caused many children to become orphaned and vulnerable. Recent studies show that orphaned and vulnerable children (OVC) lack the basic necessities for survival and development. These children are particularly at high risk of poor health and poverty. Although the poor health outcomes of these children are well documented, the complexities of the factors that mediate their health outcomes have not been systematically studied. The aim of this paper is to examine how the complex relationships between and within the proximate and socio-economic determinants mediate the poor health outcomes of children through their OVC status. The analyses considered graphical chain modelling of morbidity data from a sample of 3745 children aged below five years from the 2005 Rwandan Demographic and Health Survey. The results show that OVC status influences the risk of childhood morbidity both directly and indirectly and also as a conduit through which other significant proximate factors and socio-economic factors operate.

Men's approval of family planning in Bangladesh.

This article attempts to evaluate men's approval of family planning in Bangladesh using the couple data set from the recent Bangladesh Demographic and Health Survey (BDHS), 1999-2000. Family planning approval is addressed both from individual and couple perspectives. Analysis of BDHS data shows that about 85% of the wives report that their husbands approve of family planning, which is lower than the wives' own approval rate (95%). Using the couple data set, husbands' characteristics were matched to the wives' responses on family planning approval. Regression analyses show that age, education, access to TV, inter-spousal communication, current use of family planning and the number of living children significantly determine family planning approval among both men as well as couples. Family planning approval was found to be much lower in Sylhet than in the other administrative divisions. Multilevel modelling analysis suggests almost negligible variation at the community level. The findings indicate the need for careful evaluation of the DHS questions in order to measure appropriately men's family planning attitudes.