BACKGROUND: Diabetes mellitus is a chronic disease that is growing worldwide. It is estimated that 15.7 million people aged between 20 and 79 years live with diabetes in Brazil, and the majority of cases are type 2 diabetes (T2D). To successfully manage diabetes, the patient needs to develop self-care activities. However, there is limited understanding of what self-care activities are performed by people with T2D in Brazil.
OBJECTIVE: This study aims to identify and map studies that evaluate self-care activities in T2D in Brazil.
METHODS: This is a scoping review protocol structured according to the methodological guidelines of the Joanna Briggs Institute. Six databases and gray literature were used. The process of searching, identifying, and evaluating the papers was carried out by 2 independent reviewers, guided by the assumptions established by the Joanna Briggs Institute. We sought to answer the following guiding question: How are self-care activities for people with T2D evaluated in Brazil? We included papers and publications in any language, from public and private domains, and with different methodological approaches.
RESULTS: Initial database searches produced a total of 681 results. These papers will be critically analyzed, and relevant information will be extracted. Quantitative and qualitative results of the papers reviewed will be presented to respond to the study\'s objective. We intend to publish the scoping review in the first half of 2024.
CONCLUSIONS: The protocol for this scoping review will evaluate the main self-care activities carried out by adults and older people with T2D in Brazil. The results may help identify knowledge gaps and contribute to future research and diabetes education interventions.
UNASSIGNED: DERR1-10.2196/49105.

OBJECTIVE: Health economic evaluations (HEEs) are comparative analyses of courses of action in terms of both costs and consequences. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) original version and its adaptation to Spanish were published in 2013. Its objectives were to promote that the HEEs are identifiable, interpretable, and useful for decision making and serve as a reporting guide. The new CHEERS 2022 replaces the previous one and tries to be more easily applied to any HEE and incorporates recent methodological advances and the importance of stakeholder involvement including patients and the general public.
METHODS: For the present adaptation, the following stages were followed: (1) independent translations of the original list into Spanish, (2) blind back-translations, (3) evaluation of their quality, (4) preparation of a new version in Spanish, (5) review and improvement by the author team, (6) preparation of a new version in Spanish, (7) distribution of the preliminary Spanish version and the original one to the American HTA Network (Red de las Américas de Evaluación de Tecnologías Sanitarias) and Spanish-speaking experts for evaluation and feedback, (8) monitoring of changes to the original list under peer review at BritishMedicalJournal, and (9) consolidation of the final adaptation of the Spanish CHEERS 2022 checklist.
RESULTS: In this article, we detail the process and the Spanish adaptation of the 28-item CHEERS 2022 checklist and its recommendations.
CONCLUSIONS: This list is intended for researchers reporting HEE in peer-reviewed journals and reviewers, editors, and, among others, health technology assessment bodies.

BACKGROUND: The capacity to use data linkage and artificial intelligence to estimate and predict health indicators varies across European countries. However, the estimation of health indicators from linked administrative data is challenging due to several reasons such as variability in data sources and data collection methods resulting in reduced interoperability at various levels and timeliness, availability of a large number of variables, lack of skills and capacity to link and analyze big data. The main objective of this study is to develop the methodological guidelines calculating population-based health indicators to guide European countries using linked data and/or machine learning (ML) techniques with new methods.
METHODS: We have performed the following step-wise approach systematically to develop the methodological guidelines: i. Scientific literature review, ii. Identification of inspiring examples from European countries, and iii. Developing the checklist of guidelines contents.
RESULTS: We have developed the methodological guidelines, which provide a systematic approach for studies using linked data and/or ML-techniques to produce population-based health indicators. These guidelines include a detailed checklist of the following items: rationale and objective of the study (i.e., research question), study design, linked data sources, study population/sample size, study outcomes, data preparation, data analysis (i.e., statistical techniques, sensitivity analysis and potential issues during data analysis) and study limitations.
CONCLUSIONS: This is the first study to develop the methodological guidelines for studies focused on population health using linked data and/or machine learning techniques. These guidelines would support researchers to adopt and develop a systematic approach for high-quality research methods. There is a need for high-quality research methodologies using more linked data and ML-techniques to develop a structured cross-disciplinary approach for improving the population health information and thereby the population health.

OBJECTIVE: The European Network for Health Technology Assessment (EUnetHTA) was established in 2006 and comprises over eighty organizations from thirty European countries. In its fifth project phase (Joint Action 3), EUnetHTA set up a quality management system (QMS) to improve the efficiency and standardization of joint work. This article presents EUnetHTA\'s new QMS and outlines experiences and challenges during its implementation.
METHODS: Several working groups defined processes and methods to support assessment teams in creating high-quality assessment reports. Existing guidelines, templates, and tools were refined and missing parts were newly created and integrated into the new QMS framework. EUnetHTA has contributed to Health Technology Assessment (HTA) capacity building through training and knowledge sharing. Continuous evaluation helped to identify gaps and shortcomings in processes and structures.
RESULTS: Based on a common quality management concept and defined development and revision procedures, twenty-seven partner organizations jointly developed and maintained around forty standard operating procedures and other components of the QMS. All outputs were incorporated into a web-based platform, the EUnetHTA Companion Guide, which was launched in May 2018. Concerted efforts of working groups were required to ensure consistency and avoid duplication.
CONCLUSIONS: With the establishment of a QMS for jointly produced assessment reports, EUnetHTA has taken a significant step toward a sustainable model for scientific and technical collaboration within European HTA. However, the definition of processes and methods meeting the numerous requirements of healthcare systems across Europe remains an ongoing and challenging task.

Management plans for protected areas commonly use strategic planning tools in their drafting. It is proposed that the adequate use of the instruments of planning and management of protected areas can improve their strategic competitiveness, providing greater financial and administrative independence, enabling them to be economically sustainable organizations. This study evaluated the application of concepts and strategy formulation, strategy principles and competitiveness, organizational diagnosis, strategic maps, scenarios, and other strategic planning instruments used for conservation management in Brazil. 25 management plans of 25 different protected areas were selected and studied, with special attention to the indicators used in each plan. Results indicate that there is a high suitability for the application of SP tools to the universe of protected areas, although management plans did not take full advantage of these tools. We also found that the broader use of these tools did not guarantee greater managerial effectiveness. We suggest that other governance variables beyond planning strategies must be improved, to ensure a better performance of protected areas.