Little is known about the skills involved in clinical formulation. The individual case formulation (ICF) approach, based on functional analysis, employs clinical descriptions that are theory-free and depicts formulations constructed according to a set of basic conventions.

We report a test of whether this method could be taught and if the quality of the resulting diagrams could be reliably rated.

Participants (n=40) participated in a training course in formulation. A draft rating scale was refined in the course of rating formulation diagrams and basic inter-rater reliability established.

Results of the study support further development of the ICF approach.

To map the scientific research on food environments in Brazil, based on the following questions: How many studies have addressed food environments?; What study designs and methodological approaches were applied?; What is the geographic scope of the studies?; What scenarios and dimensions of food environments were studied?; Which population groups were studied?; How were food environments conceptualised?; What are the main limitations of the studies?

Scoping review conducted in four databases, from January 2005 to December 2022, using different food environment-related terms to cover the main types and dimensions proposed in the literature. The studies were independently selected by two authors. A narrative synthesis was used to summarise the findings.

Brazil.

130 articles.

Scientific research on Brazilian food environments has been increasing. The analytical quantitative approach and the cross-sectional design were the most frequently used. Most articles were published in English. The majority of studies evaluated the community food environment, addressed aspects of the physical dimension, sampled the adult population, had food consumption as an outcome, used primary data, and were carried out in capital cities in the Southeast region. Furthermore, in most articles, no conceptual model was explicitly adopted.

Gaps in literature are related to the need for conducting studies in the Brazilian countryside, the support for the formulation of research questions based on conceptual models, the use of valid and reliable instruments to collect primary data, in addition to the need for a greater number of longitudinal, intervention and qualitative studies.

In the context of the COVID-19 pandemic, which required urgent responses from health systems, and ongoing decision making in a context of limited and evolving evidence, modeling played a significant role in supporting public policy making. Nonetheless, particularly in low and middle-income countries, modeling groups are scarce, and usually not routinely involved in supporting public health policy making. We aimed to appraise COVID-19 modeling work in Brazil during the pandemic.

We performed a scoping review following PRISMA guidelines to identify groups conducting COVID-19 modeling to support health decision-making in Brazil. Search strategies were applied to MEDLINE, LILACS, Embase, ArXiv, and also included National data repositories and gray literature. We excluded reports of models without modeling results. Titles, abstracts, data repository descriptions and full-text articles identified were read and selected by two reviewers. Data extracted included modeling questions, model characteristics (structure, type, and programming), epidemiologic data sources, main outcomes reported, and parameters. To further identify modeling groups that might have not yet published results, snowball sampling was performed, and a short survey was sent electronically. Investigators and policymakers were invited to an online interview, to obtain further information on how they interacted, communicated, and used modeling results.

We retrieved 1,061 references. After removing duplicates (127), 1,016 abstracts and titles were screened. From an initial selection of 142 abstracts, 133 research groups were identified, of which 67 didn’t meet the eligibility criteria. Of these, 66 groups were invited for an interview, of which 24 were available, including 18 modeling groups from academic institutions, and four groups from State Health departments. Most models assessed the impact of mitigation measures in cases/hospitalization/deaths and healthcare service demand. Interaction and communication with decision-makers were not well established in most groups.

Despite a large number of modeling groups in Brazil, we observed a significant gap in modeling demand and communicating its results to support the decision-making process during the COVID-19 pandemic.

To verify differences in the availability, variety, quality and price of unprocessed and ultra-processed foods in supermarkets and similar establishments in neighbourhoods with different social deprivation levels at Juiz de Fora, Minas Gerais, Brazil.

Cross-sectional study.

The Obesogenic Environment Study in São Paulo’s Food Store Observation Tool (ESAO-S) was applied in thirty-three supermarket chains, wholesale and retail supermarkets.

Fruits, vegetables and ultra-processed foods were available in almost all establishments, without differences according to Health Vulnerability Index (HVI; which varies from 0 to 1 point and the higher the worse; P > 0·05). Most establishments were concentrated in low vulnerability areas and offered healthy foods with greater variety and quality, despite higher prices. The Healthy Food Store Index (HFSI; which varies from 0 to 16 points and the higher the best) was calculated from the ESAO-S and the mean score was 8·91 (sd 1·51). The presence and variety of unprocessed foods count as positive points, as do the absence of ultra-processed products. When HFSI was stratified by HVI, low HVI neighbourhoods presented higher HFSI scores, compared with medium, high and very high HVI neighbourhoods (P = 0·001).

Supermarkets and similar establishments are less dense in areas of greater social deprivation and have lower prices of healthy foods, but the variety and quality of those foods are worse, compared with areas of low vulnerability. We found worse HFSI for supermarkets located in areas with greater vulnerability. Those findings can guide specific public policies improving the urban food environment.