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Food supplementation for improving the physical and psychosocial health of socio-economically disadvantaged children aged three months to five years
Background: Undernutrition contributes to five million deaths of children under five each year. Furthermore, throughout the life cycle, undernutrition contributes to increased risk of infection, poor cognitive functioning, chronic disease, and mortality. It is thus important for decision-makers to have evidence about the effectiveness of nutrition interventions for young children. Objectives: Primary objective 1. To assess the effectiveness of supplementary feeding interventions, alone or with co-intervention, for improving the physical and psychosocial health of disadvantaged children aged three months to five years. Secondary objectives 1. To assess the potential of such programmes to reduce socio-economic inequalities in undernutrition.2. To evaluate implementation and to understand how this may impact on outcomes.3. To determine whether there are any adverse effects of supplementary feeding. Search methods: We searched CENTRAL, Ovid MEDLINE, PsycINFO, and seven other databases for all available years up to January 2014. We also searched ClinicalTrials.gov and several sources of grey literature. In addition, we searched the reference lists of relevant articles and reviews, and asked experts in the area about ongoing and unpublished trials. Selection criteria: Randomised controlled trials (RCTs), cluster-RCTs, controlled clinical trials (CCTs), controlled before-and-after studies (CBAs), and interrupted time series (ITS) that provided supplementary food (with or without co-intervention) to children aged three months to five years, from all countries. Adjunctive treatments, such as nutrition education, were allowed. Controls had to be untreated. Data collection and analysis: Two or more review authors independently reviewed searches, selected studies for inclusion or exclusion, extracted data, and assessed risk of bias. We conducted meta-analyses for continuous data using the mean difference (MD) or the standardised mean difference (SMD) with a 95% confidence interval (CI), correcting for clustering if necessary. We analysed studies from low- and middle-income countries and from high-income countries separately, and RCTs separately from CBAs. We conducted a process evaluation to understand which factors impact on effectiveness. Main results: We included 32 studies (21 RCTs and 11 CBAs); 26 of these (16 RCTs and 10 CBAs) were in meta-analyses. More than 50% of the RCTs were judged to have low risk of bias for random selection and incomplete outcome assessment. We judged most RCTS to be unclear for allocation concealment, blinding of outcome assessment, and selective outcome reporting. Because children and parents knew that they were given food, we judged blinding of participants and personnel to be at high risk for all studies. Growth. Supplementary feeding had positive effects on growth in low- and middle-income countries. Meta-analysis of the RCTs showed that supplemented children gained an average of 0.12 kg more than controls over six months (95% confidence interval (CI) 0.05 to 0.18, 9 trials, 1057 participants, moderate quality evidence). In the CBAs, the effect was similar; 0.24 kg over a year (95% CI 0.09 to 0.39, 1784 participants, very low quality evidence). In high-income countries, one RCT found no difference in weight, but in a CBA with 116 Aboriginal children in Australia, the effect on weight was 0.95 kg (95% CI 0.58 to 1.33). For height, meta-analysis of nine RCTs revealed that supplemented children grew an average of 0.27 cm more over six months than those who were not supplemented (95% CI 0.07 to 0.48, 1463 participants, moderate quality evidence). Meta-analysis of seven CBAs showed no evidence of an effect (mean difference (MD) 0.52 cm, 95% CI -0.07 to 1.10, 7 trials, 1782 participants, very low quality evidence). Meta-analyses of the RCTs demonstrated benefits for weight-for-age z-scores (WAZ) (MD 0.15, 95% CI 0.05 to 0.24, 8 trials, 1565 participants, moderate quality evidence), and height-for-age z-scores (HAZ) (MD 0.15, 95% CI 0.06 to 0.24, 9 trials, 4638 participants, moderate quality evidence), but not for weight-for-height z-scores MD 0.10 (95% CI -0.02 to 0.22, 7 trials, 4176 participants, moderate quality evidence). Meta-analyses of the CBAs showed no effects on WAZ, HAZ, or WHZ (very low quality evidence). We found moderate positive effects for haemoglobin (SMD 0.49, 95% CI 0.07 to 0.91, 5 trials, 300 participants) in a meta-analysis of the RCTs. Psychosocial outcomes. Eight RCTs in low- and middle-income countries assessed psychosocial outcomes. Our meta-analysis of two studies showed moderate positive effects of feeding on psychomotor development (SMD 0.41, 95% CI 0.10 to 0.72, 178 participants). The evidence of effects on cognitive development was sparse and mixed. We found evidence of substantial leakage. When feeding was given at home, children benefited from only 36% of the energy in the supplement. However, when the supplementary food was given in day cares or feeding centres, there was less leakage, children took in 85% of the energy provided in the supplement. Supplementary food was generally more effective for younger children (less than two years of age) and for those who were poorer/ less well-nourished. Results for sex were equivocal. Our results also suggested that feeding programmes which were given in day-care/feeding centres and those which provided a moderate-to-high proportion of the recommended daily intake (% RDI) for energy were more effective. Authors' conclusions: Feeding programmes for young children in low- and middle-income countries can work, but good implementation is key.
Feasibility study of geospatial mapping of chronic disease risk to inform public health commissioning
Objective: To explore the feasibility of producing small-area geospatial maps of chronic disease risk for use by clinical commissioning groups and public health teams. Study design: Cross-sectional geospatial analysis using routinely collected general practitioner electronic record data. Sample and setting: Tower Hamlets, an inner-city district of London, UK, characterised by high socioeconomic and ethnic diversity and high prevalence of non-communicable diseases. Methods: The authors used type 2 diabetes as an example. The data set was drawn from electronic general practice records on all non-diabetic individuals aged 25-79 years in the district (n=163 275). The authors used a validated instrument, QDScore, to calculate 10-year risk of developing type 2 diabetes. Using specialist mapping software (ArcGIS), the authors produced visualisations of how these data varied by lower and middle super output area across the district. The authors enhanced these maps with information on examples of locality-based social determinants of health (population density, fast food outlets and green spaces). Data were piloted as three types of geospatial map (basic, heat and ring). The authors noted practical, technical and information governance challenges involved in producing the maps. Results: Usable data were obtained on 96.2% of all records. One in 11 adults in our cohort was at 'high risk' of developing type 2 diabetes with a 20% or more 10-year risk. Small-area geospatial mapping illustrated 'hot spots' where up to 17.3% of all adults were at high risk of developing type 2 diabetes. Ring maps allowed visualisation of high risk for type 2 diabetes by locality alongside putative social determinants in the same locality. The task of downloading, cleaning and mapping data from electronic general practice records posed some technical challenges, and judgement was required to group data at an appropriate geographical level. Information governance issues were time consuming and required local and national consultation and agreement. Conclusions: Producing small-area geospatial maps of diabetes risk calculated from general practice electronic record data across a district-wide population was feasible but not straightforward. Geovisualisation of epidemiological and environmental data, made possible by interdisciplinary links between public health clinicians and human geographers, allows presentation of findings in a way that is both accessible and engaging, hence potentially of value to commissioners and policymakers. Impact studies are needed of how maps of chronic disease risk might be used in public health and urban planning.
Adjuvant chemotherapy: An autoethnography
Adjuvant chemotherapy is given after surgery for early stage cancer. It aims to cure. Though potentially toxic, it has dramatically improved survival for some cancers. This paper offers an autoethnographic exploration of three kinds of strangeness that I encountered during a 12-week course of adjuvant chemotherapy for early breast cancer: The material strangeness of what was done to me; the lived-body strangeness of receiving chemotherapy (which makes people sick to make them well) and the existential strangeness of reconstructing my broken narrative. In a discussion, I consider four aspects of autoethnography of deep illness against which this account and its telling might be judged: ethnographic legitimacy (does it meet the standards of analytic social science?), autobiographical legitimacy (is it compelling as literature?), existential ethics (am I, the wounded storyteller, protected from harm?) and relational ethics (have I discharged my duties towards those implicated in the text and its interpretation?).
Is it time to drop the 'knowledge translation' metaphor? A critical literature review
The literature on 'knowledge translation' presents challenges for the reviewer because different terms have been used to describe the generation, sharing and application of knowledge and different research approaches embrace different philosophical positions on what knowledge is. We present a narrative review of this literature which deliberately sought to highlight rather than resolve tensions between these different framings. Our findings suggest that while 'translation' is a widely used metaphor in medicine, it constrains how we conceptualise and study the link between knowledge and practice. The 'translation' metaphor has, arguably, led to particular difficulties in the fields of 'evidence-based management' and 'evidence-based policymaking' - where it seems that knowledge obstinately refuses to be driven unproblematically into practice. Many non-medical disciplines such as philosophy, sociology and organization science conceptualise knowledge very differently, as being (for example) 'created', 'constructed', 'embodied', 'performed' and 'collectively negotiated' - and also as being value-laden and tending to serve the vested interests of dominant élites. We propose that applying this wider range of metaphors and models would allow us to research the link between knowledge and practice in more creative and critical ways. We conclude that research should move beyond a narrow focus on the 'know-do gap' to cover a richer agenda, including: (a) the situationspecific practical wisdom (phronesis) that underpins clinical judgement; (b) the tacit knowledge that is built and shared among practitioners ('mindlines'); © the complex links between power and knowledge; and (d) approaches to facilitating macro-level knowledge partnerships between researchers, practitioners, policymakers and commercial interests.
Measuring quality in the therapeutic relationship Part 2: Subjective approaches
Background: The therapeutic relationship is complex and incompletely captured in objective metrics. Aim: To review the different concepts, theoretical models and empirical approaches which researchers have used to capture in qualitative terms what is special about the relationship between practitioner and patient. Method: Drawing on the principles of meta-narrative systematic review (but without seeking an exhaustive inventory of every paper ever published), we considered different research traditions in terms of their respective philosophical assumptions, methodological strengths and limitations and empirical findings. We applied published quality criteria from each tradition to papers within that tradition. Results: Four research approaches were oriented to producing subjective interpretations of quality in the therapeutic relationship. These had emerged in different research traditions: Psychodynamic (eg, the Balint method, whose roots are in psychoanalysis); narrative (literary theory, moral philosophy); critical consultation analysis (critical sociology) and socio-technical analysis (actor-network theory). Each emphasised a different dimension of relationship quality. Conclusion Subjective (interpretive) approaches do not lend themselves readily to metrics or scales, but they can inform a structured list of questions to prompt practitioner reflection. A combination of objective metrics and reflective practice has considerable quality improvement potential.
Quantifying the risk of type 2 diabetes in East London using the QDScore: A cross-sectional analysis
Background: Risk scores calculated from electronic patient records can be used to predict the risk of adults developing diabetes in the future. Aim: To use a risk-prediction model on GPs' electronic health records in three inner-city boroughs, and to map the risk of diabetes by locality for commissioners, to guide possible interventions for targeting groups at high risk. Design and setting: Cross-sectional analysis of electronic general practice records from three deprived and ethnically diverse inner-city boroughs in London. Method: A cross-sectional analysis of 519 288 electronic primary care records was performed for all people without diabetes aged 25-79 years. A validated risk score, the QDScore, was used to predict 10-year risk of developing type 2 diabetes. Descriptive statistics were generated, including subanalysis by deprivation and ethnicity. The proportion of people at high risk (≥20% risk) per general practice was geospatially mapped. Results: Data were obtained from 135 out of 145 general practices (91.3%); 1 in 10 people in this population were at high risk (≥20%) of developing type 2 diabetes within 10 years. Of those with known cardiovascular disease or hypertension, approximately 50% were at high risk. Male sex, increasing age, South Asian ethnicity, deprivation, obesity, and other comorbidities increased the risk. Geospatial mapping revealed hotspots of high risk. Conclusion: Individual risk scores calculated from electronic records can be aggregated to produce population risk profiles to inform commissioning and public health planning. Specific localities were identified (the 'East London diabetes belt'), where preventive efforts should be targeted. This method could be used for other diseases and risk states, to inform targeted commissioning and preventive research. ©British Journal of General Practice.