The Choosing Wisely campaign began in the USA in 2012 to encourage physicians and patients to discuss inappropriate and potentially harmful tests, treatments and procedures. Since its inception, the campaign has grown substantially and has been adopted by 12 countries around the world. Of great interest to countries implementing the campaign, is the effectiveness of Choosing Wisely to reduce overutilisation. This article presents an integrated measurement framework that may be used to assess the impact of a Choosing Wisely campaign on physician and provider awareness and attitudes on low-value care, provider practice behaviour and overuse of low-value services.

Objective: To examine socio-economic inequalities in malnutrition among Colombian children and adolescents, and to assess the contribution of individual-, household-and community-level factors to those inequalities. Design: Cross-sectional data were used from two sources: 2005 Colombian Demographic and Health Survey and 2005 Colombian census. Malnutrition outcomes included stunting and overweight. Multilevel Poisson models were used to estimate the association between individual, household and contextual characteristics and malnutrition. Changes in prevalence ratios of the poorest quintile (v. richest) were compared to assess the contribution of different characteristics to inequalities in malnutrition. Setting: Population-based, representative of Colombia. Subjects: Children and adolescents ,18 years of age (n 30 779) from the Colombian Demographic and Health Survey. Results: Children and adolescents living in the poorest households were close to five times more likely to be stunted, while those from the richest households were 1?3-2?8 times more likely than their poorest counterparts to be overweight. Care practices and household characteristics, particularly mother's education, explained over one-third of socio-economic inequalities in stunting. The proportion explained by access to services was not negligible (between 6 % and 14 %). Access to sanitation was significantly associated with a lower prevalence of stunting for all age groups. Between 14 % and 32 % of socio-economic disparities in overweight were explained by maternal and household characteristics. Mother's overweight was positively associated with overweight of the child. Conclusion: Socio-economic inequalities in stunting and overweight coexist among children and adolescents in Colombia. Malnutrition inequalities are largely explained by household characteristics, suggesting the need for targeted interventions.

Background: Consideration of health impacts of non-health sector policies has been encouraged in many countries, with health impact assessment (HIA) increasingly used worldwide for this purpose. HIA aims to assess the potential impacts of a proposal and make recommendations to improve the potential health outcomes and minimize inequalities. Although many of the same techniques can be used, such as community consultation, engagement, or profiling, HIA differs from other community health approaches in its starting point, purpose, and relationship to interventions. Many frameworks have been produced to aid practitioners in conducting HIA.Objective: To review in a systematic and comparative way the many HIA frameworks. Study design: Systematic reviewMethod: The literature was searched to identify published frameworks giving sufficient guidance for those with the necessary skills to be able to undertake an HIA.Results: Approaches to HIA reflect their origins, particularly those derived from environmental impact assessment. Early HIA resources tended to use a biomedical model of health and examine projects. Later developments were designed for use with policy proposals and tended to use a socio-economic or environmental model of health. There are more similarities than differences in approaches to HIA, with convergence over time, such as the distinction between 'narrow' and 'broad' focus HIA disappearing. Consideration of health disparities is integral to most HIA frameworks but not universal. A few resources focus solely on inequalities. The extent of community participation advocated varies considerably. Conclusion:It is important to select an HIA framework designed for a comparable context, level of proposal, and available resources.

IntroductionPrevalence of obesity is rising in Latin America, is increasingly affecting socially disadvantaged groups, particularly women. Conditional cash transfers are recently established welfare interventions in the region. One, Familias en Accion, transfers ~20% of average monthly income to women in Colombia’s poorest families. Previous work has found that families buy more food as a result.We tested the hypothesis that participation in Familias would be associated with increasing body mass index (BMI) in participating womenMethodsWomen from participating areas and control areas (matched on environmental and socioeconomic criteria) were surveyed in 2002 and 2006. Pregnant, breast-feeding or women aged<18 or with BMI<18.5kg/m2 were excluded. The sample comprises 835 women from control and 1238 from treatment areas. Because some treatment areas started Familias shortly before baseline data collection, a dummy variable was created that identified exposure independent of time-point or area. Follow-up was 61.5%.BMI was measured by trained personnel using standardized techniques. Overweight was defined as BMI>25kg/m2 and obesity as >30kg/m2. The effect of Familias was estimated using linear regression (or logistic regression for dichotomous outcomes) in a double-difference technique, controlling for several individual, household and area characteristics, including parity and baseline BMI, using robust standard-errors clustered at area-level in an intention-to-treat analysis.ResultsAt baseline, women’s mean age was 33.3 years and mean BMI 25.3kg/m2; 12.3% women were obese. After adjustment, exposure to Familias was significantly associated with increased BMI (β=0.25, 95% CI 0.03, 0.47; p=0.03). Age (β=0.09; 95%CI 0.06, 0.13; p<0.001) and household wealth (β=0.78; 95%CI 0.41, 1.15; p<0.001) were also positively associated with BMI. Familias was also associated with increased odds of obesity (O.R.=1.27 95%CI 1.03, 1.57; p=0.03), as was age (O.R.=1.04; 95%CI 1.02, 1.06; p=0.001).ConclusionConditional cash transfers to poor women in Colombia are independently associated with increasing BMI and obesity risk. Although conditional cash transfers are generally regarded as popular and successful schemes, parallel interventions at individual, household and community level are needed to avoid unanticipated adverse outcomes.

Countries are increasingly publishing health system performance statistics alongside those of their peers, to identify high performers and achieve a continuously improving health system. The aim of the paper is to identify, and discuss resolution of, some key methodological challenges, which arise when comparing health system performance. To illustrate the issues, we focus on two OECD flagship initiatives: the System of Health Accounts (SHA) and the Health Care Quality Indicators (HCQI) project and refer to two main actors: a coordinating agency, which proposes and collates performance data and second, data correspondents in constituent health systems, who submit data to the coordinating centre. Discussion is structured around two themes: a set of must-do's (legitimacy of the coordinating centre, validity of proposed indicators, feasibility of data collection and technical support for data correspondents) and a set of trade-offs (depth vs. breadth in the number of system elements compared, aggregation vs. granularity of data, flexibility vs. consistency of indicator definitions and inclusion criteria). Robust fulfillment of the must-do's and transparent resolution of the trade-offs both depend upon effective collaboration between the coordinating centre and data correspondents, and a close working relationship between a technical secretariat and a body of experts.