Evaluator's alignment as an important indicator of adequacy of the criteria and assessment procedure for recognizing the good practice in public health.

Background: Public health interventions aim to reduce the burden of chronic non-communicable diseases. Implementing evidence-based interventions that are proven to be successful and effective is widely recognized as the best approach to addressing public health challenges. To avoid the development and implementation of less effective or successful or even harmful practices, clear criteria for the assessment of practices, that consider different dimensions of the interventions in public health, are needed. The main aim of the research was to test our Criteria and assessment procedure for recognizing good practices in the field of public health by estimating the consistency between the evaluators and thereby gaining insight into the adequacy and reliability of the criteria as well as to check how the evaluators understand the criteria and methodology and if it is properly used in assessing the interventions. Methods: The assessment of the interventions took place from 2021 to 2022. The individual evaluator's scores on the scale from 1 to 5 for each specific sub-criterion were collected, which was followed by a panel discussion to reach a final score for each sub-criterion. The inter-rater agreement was measured using percent overall agreement and Fleiss' kappa coefficient. Results: We found moderate inter-rater agreement on the level of the assessment criteria group. The lowest agreement was observed for the effectiveness and efficiency sub-criteria group, which also received the lowest scores from the evaluators. Challenges identified with the scoring process were due to the descriptive 1 to 5 scale and the varying specificity of the criteria. Conclusion: The results showed that studying consistency between evaluators can highlight areas for improvement or adjustment in the assessment criteria and enhance the quality of the assessment instrument. Therefore, such analysis would be useful part of both newly and well-established health promotion and prevention program registries.

The increasing significance of disease severity in a burden of disease framework.

Recent estimates have reiterated that non-fatal causes of disease, such as low back pain, headaches and depressive disorders, are amongst the leading causes of disability-adjusted life years (DALYs). For these causes, the contribution of years lived with disability (YLD) - put simply, ill-health - is what drives DALYs, not mortality. Being able to monitor trends in YLD closely is particularly relevant for countries that sit high on the socio-demographic spectrum of development, as it contributes more than half of all DALYs. There is a paucity of data on how the population-level occurrence of disease is distributed according to severity, and as such, the majority of global and national efforts in monitoring YLD lack the ability to differentiate changes in severity across time and location. This raises uncertainties in interpreting these findings without triangulation with other relevant data sources. Our commentary aims to bring this issue to the forefront for users of burden of disease estimates, as its impact is often easily overlooked as part of the fundamental process of generating DALY estimates. Moreover, the wider health harms of the COVID-19 pandemic have underlined the likelihood of latent and delayed demand in accessing vital health and care services that will ultimately lead to exacerbated disease severity and health outcomes. This places increased importance on attempts to be able to differentiate by both the occurrence and severity of disease.

Conducting national burden of disease studies and knowledge translation in eight small European states: challenges and opportunities.

BACKGROUND: Several countries across Europe are engaging in burden of disease (BoD) studies. This article aims to understand the experiences of eight small European states in relation to their research opportunities and challenges in conducting national BoD studies and in knowledge translation of research outputs to policy-making. METHODS: Countries participating in the study were those outlined by the WHO/Europe Small Countries Initiative and members of the Cooperation in Science and Technology (COST) Action CA18218 European Burden of Disease Network. A set of key questions targeting the research landscape were distributed to these members. WHO's framework approach for research development capacities was applied to gain a comprehensive understanding of shortages in relation to national BoD studies in order to help strengthen health research capacities in the small states of Europe. RESULTS: Most small states lack the resources and expertise to conduct BoD studies, but nationally representative data are relatively accessible. Public health officials and researchers tend to have a close-knit relationship with the governing body and policy-makers. The major challenge faced by small states is in knowledge generation and transfer rather than knowledge translation. Nevertheless, some policy-makers fail to make adequate use of knowledge translation. CONCLUSIONS: Small states, if equipped with adequate resources, may have the capacity to conduct national BoD studies. This work can serve as a model for identifying current gaps and opportunities in each of the eight small European countries, as well as a guide for translating country BoD study results into health policy.

Monitoring Health Inequalities in 12 European Countries: Lessons Learned from the Joint Action Health Equity Europe.

To raise awareness about health inequalities, a well-functioning health inequality monitoring system (HIMS) is crucial. Drawing on work conducted under the Joint Action Health Equity Europe, the aim of this paper is to illustrate the strengths and weaknesses in current health inequality monitoring based on lessons learned from 12 European countries and to discuss what can be done to strengthen their capacities. Fifty-five statements were used to collect information about the status of the capacities at different steps of the monitoring process. The results indicate that the preconditions for monitoring vary greatly between countries. The availability and quality of data are generally regarded as strong, as is the ability to disaggregate data by age and gender. Regarded as poorer is the ability to disaggregate data by socioeconomic factors, such as education and income, or by other measures of social position, such as ethnicity. Few countries have a proper health inequality monitoring strategy in place and, where in place, it is often regarded as poorly up to date with policymakers' needs. These findings suggest that non-data-related issues might be overlooked aspects of health inequality monitoring. Structures for stakeholder involvement and communication that attracts attention from policymakers are examples of aspects that deserve more effort.