Support Priority Setting Research Articles

Excess mortality associated with chikungunya epidemic in Southeast Brazil, 2023

The chikungunya virus (CHIKV) was first detected in Brazil in 2014 and has since caused major epidemics. In 2023, a major chikungunya epidemic occurred in Minas Gerais, one of the most populous states in the country. We analyzed the North and Northeast Health Macroregions of Minas Gerais, with 2.5 million inhabitants. The study used epidemiological data from the Ministry of Health’s laboratory surveillance, disease notification and mortality systems. A robust Poisson regression model was constructed to estimate expected monthly mortality. Excess deaths were calculated by comparing observed deaths with model estimates during the epidemic period. During the epidemic, there were 890 excess deaths attributed to chikungunya, translating into a mortality rate of 35.1/100,000 inhabitants. The excess mortality rate was significantly 60 times higher than the deaths reported by surveillance, with only 15 confirmed deaths. The correlation between excess deaths and laboratory-confirmed chikungunya cases was strong, while the correlation with dengue and COVID-19 was not statistically significant. The results highlighted the serious underestimation of chikungunya mortality by epidemiological surveillance. During the same year, only 420 chikungunya deaths were reported by all PAHO member countries. Routine epidemiological surveillance systems cannot capture the full impact of this disease. Excess mortality is a key measure for understanding the impact of epidemics, as demonstrated by COVID-19 and influenza pandemics. The study highlights the need for complementary tools to traditional surveillance to better assess impacts on morbidity and mortality and support priority setting in public health interventions.

Co-Designing a Palliative Dementia Care Framework to Support Holistic Assessment and Decision Making: The EMBED-Care Framework.

People with dementia have complex palliative care needs that are often unmet, including physical and psycho-social needs. It is essential to empower people with dementia, family carers and professionals to better assess and manage care needs. We aimed to co-design a palliative dementia care Framework delivered through a digital app to support holistic assessment and decision making for care in the community and care homes-the EMBED-Care Framework. A systematic co-design approach was adopted to develop the EMBED-Care Framework across three stages: 1) Framework analysis to synthesise data from preceding evidence reviews, large routine clinical data and cohort studies of unmet palliative dementia care need; 2) Co-design using iterative workshops with people with dementia, family carers and health and social care professionals to construct the components, design of the app and implementation requirements; and 3) User testing to refine the final Framework and app, and strengthen use for clinical practice and methods of evaluation. The Framework was co-designed for delivery through an app delivered by aTouchAway. It comprised five main components: 1) holistic assessment of palliative care needs using the Integrated Palliative care Outcome Scale-Dementia (IPOS-Dem); 2) alert system of IPOS-Dem scores to highlight unmet needs; 3) IPOS-Dem scores and alerts enable shared decision making between the practitioner, patient and/or carer to support priority setting and goals of care; 4) evidence-informed clinical decision support tools automatically linked with identified needs to manage care; and 5) Training package for users incorporating face-to-face sessions, clinical champions who received additional face-to-face sessions, animated videos and manual covering the main intervention components and email and telephone support from the research team. This is a novel digital palliative dementia care intervention to link holistic assessment with clinical decision support tools that are practical and easy to use but address the complexity of palliative dementia care. The Framework is ready for feasibility testing and pilot studies for people with dementia residing at home or in a care home. We were guided by our Patient and Public Involvement (PPI) group consisting of three people with mild dementia, including younger onset dementia, and seven family carers throughout the project. They supported the overall development of the Framework, including planning of workshops, interpreting findings and testing the framework in our PPI meetings.

A health decision analytical model to evaluate the cost-effectiveness of female genital schistosomiasis screening strategies: The female genital schistosomiasis SCREEN framework.

Female genital schistosomiasis is a chronic gynaecological disease caused by the waterborne parasite Schistosoma (S.) haematobium. It affects an estimated 30-56 million girls and women globally, mostly in sub-Saharan Africa where it is endemic, and negatively impacts their sexual and reproductive life. Recent studies found evidence of an association between female genital schistosomiasis and increased prevalence of HIV and cervical precancer lesions. Despite the large population at risk, the burden and impact of female genital schistosomiasis are scarcely documented, resulting in neglect and insufficient resource allocation. There is currently no standardised method for individual or population-based female genital schistosomiasis screening and diagnosis which hinders accurate assessment of disease burden in endemic countries. To optimise financial allocations for female genital schistosomiasis screening, it is necessary to explore the cost-effectiveness of different strategies by combining cost and impact estimates. Yet, no economic evaluation has explored the value for money of alternative screening methods. This paper describes a novel application of health decision analytical modelling to evaluate the cost-effectiveness of different female genital schistosomiasis screening strategies across endemic settings. The model combines a decision tree for female genital schistosomiasis screening strategies, and a Markov model for the natural history of cervical cancer to estimate the cost per disability-adjusted life-years averted for different screening strategies, stratified by HIV status. It is a starting point for discussion and for supporting priority setting in a data-sparse environment.

Challenges and Opportunities for Deliberative Processes for Healthcare Decision-Making Comment on "Evidence-Informed Deliberative Processes for Health Benefit Package Design - Part II: A Practical Guide".

The second edition of the practical guide for evidence-informed deliberative processes (EDPs) is an important addition to the growing guidance on deliberative processes supporting priority setting in healthcare. While the practical guide draws on an extensive amount of information collected on established and developing processes within a range of countries, EDPs present health technology assessment (HTA) bodies with several challenges. (1) Basing recommendations on current processes that have not been well-evaluated and that have changed over time may lead to weaker legitimacy than desired. (2) The requirement for social learning among stakeholders may require increased resourcing and blur the boundary between moral deliberation and political negotiation. (3) Robust evaluation should be based on an explicit theory of change, and some process outcomes may be poor guides to overall improvement of EDPs. This comment clarifies and reinforces the recommendations provided in the practical guide.

894-P: The Potential Value of Clustering-Based Type 2 Diabetes Subgroups for Guiding Intensive Treatment: A Maximum Cost-Based Comparison with Threshold-Based Classifications

Aim: To quantify and compare the performance of setting priority for intensive treatment by novel clustering-based subgroups to threshold-based classifications using systematic coronary risk evaluation (SCORE) and HbA1c levels. Methods: We divided 2,935 patients from the Hoorn diabetes care system cohort into five clustering-based subgroups: severe insulin-deficient (SIDD) , severe insulin-resistant (SIRD) , mild obesity-related (MOD) mild (MD) , and mild with high HDL-cholesterol (MDH) diabetes, and four risk threshold-based subgroups. The United Kingdom Prospective Diabetes Study Outcomes Model was used to simulate lifetime health outcomes in the U.S. and U.K. settings. Gains from hypothetical treatment scenarios based on clinical guidelines were compared to “care-as-usual” and expressed in incremental quality-adjusted life-expectancy (QALE) and complication costs. Results: The SIRD and MOD subgroup had the lowest absolute and age-sex-standardized QALE, respectively (7.90; 9.07) . Threshold-based classifications better discriminated between patients with higher and lower absolute and standardized QALE than clustering-based subgroups. For MOD, hypothetical interventions costing up to $1973 (95%CI $1444-$2603) and £463 (95%CI £345-£603) per year would be cost-effective at $100,000 and £20,000 per QALY thresholds in the U.S. and U.K., respectively. The MOD, SIDD and SIRD subgroups had the best potential cost-effectiveness alongside the subgroup with high HbA1c and high SCORE. Conclusions: Intensified treatment could be cost-effective at higher-than-average costs for three out of five of the clustering-based subgroups and two out of four of the threshold-based classifications. Both classification methods support priority setting for intensive treatment, but the threshold-based method may better identify those who have the most potential to benefit from intensified treatment. Disclosure X.Li: None. A.Van giessen: None. J.Altunkaya: None. R.Slieker: None. J.Beulens: None. E.Pearson: Speaker's Bureau; Sanofi. P.J.M.Elders: None. T.Feenstra: Research Support; Dutch Healthcare Institute (ZIN) , European Union/IMI Rhapsody. J.Leal: None. Funding RHAPSODY (115881)

A Dynamic Approach to Economic Priority Setting to Invest in Youth Mental Health and Guide Local Implementation: Economic Protocol for Eight System Dynamics Policy Models.

BackgroundMental illness costs the world economy over US2.5 Bn each year, including premature mortality, morbidity, and productivity losses. Multisector approaches are required to address the systemic drivers of mental health and ensure adequate service provision. There is an important role for economics to support priority setting, identify best value investments and inform optimal implementation. Mental health can be defined as a complex dynamic system where decision makers are challenged to prospectively manage the system over time. This protocol describes the approach to equip eight system dynamics (SD) models across Australia to support priority setting and guide portfolio investment decisions, tailored to local implementation context.MethodsAs part of a multidisciplinary team, three interlinked protocols are developed; (i) the participatory process to codesign the models with local stakeholders and identify interventions for implementation, (ii) the technical protocol to develop the SD models to simulate the dynamics of the local population, drivers of mental health, the service system and clinical outcomes, and (iii) the economic protocol to detail how the SD models will be equipped to undertake a suite of economic analysis, incorporating health and societal perspectives. Models will estimate the cost of mental illness, inclusive of service costs (health and other sectors, where necessary), quality-adjusted life years (QALYs) lost, productivity costs and carer costs. To assess the value of investing (disinvesting) in interventions, economic analysis will include return-on-investment, cost-utility, cost benefit, and budget impact to inform affordability. Economic metrics are expected to be dynamic, conditional upon changing population demographics, service system capacities and the mix of interventions when synergetic or antagonistic interactions. To support priority setting, a portfolio approach will identify best value combinations of interventions, relative to a defined budget(s). User friendly dashboards will guide decision makers to use the SD models to inform resource allocation and generate business cases for funding.DiscussionEquipping SD models to undertake economic analysis is intended to support local priority setting and help optimise implementation regarding the best value mix of investments, timing and scale. The objectives are to improve allocative efficiency, increase mental health and economic productivity.

Development of a decision analytical framework to prioritise operating room capacity: lessons learnt from an empirical example on delayed elective surgeries during the COVID-19 pandemic in a hospital in the Netherlands

ObjectiveTo develop a prioritisation framework to support priority setting for elective surgeries after COVID-19 based on the impact on patient well-being and cost.DesignWe developed decision analytical models to estimate the...

Modular literature review: a novel systematic search and review method to support priority setting in health policy and practice

BackgroundThere is an unmet need for review methods to support priority-setting, policy-making and strategic planning when a wide variety of interventions from differing disciplines may have the potential to impact a health outcome of interest. This article describes a Modular Literature Review, a novel systematic search and review method that employs systematic search strategies together with a hierarchy-based appraisal and synthesis of the resulting evidence.MethodsWe designed the Modular Review to examine the effects of 43 interventions on a health problem of global significance. Using the PICOS (Population, Intervention, Comparison, Outcome, Study design) framework, we developed a single four-module search template in which population, comparison and outcome modules were the same for each search and the intervention module was different for each of the 43 interventions. A series of literature searches were performed in five databases, followed by screening, extraction and analysis of data. “ES documents”, source documents for effect size (ES) estimates, were systematically identified based on a hierarchy of evidence. The evidence was categorised according to the likely effect on the outcome and presented in a standardised format with quantitative effect estimates, meta-analyses and narrative reporting. We compared the Modular Review to other review methods in health research for its strengths and limitations.ResultsThe Modular Review method was used to review the impact of 46 antenatal interventions on four specified birth outcomes within 12 months. A total of 61,279 records were found; 35,244 were screened by title-abstract. Six thousand two hundred seventy-two full articles were reviewed against the inclusion criteria resulting in 365 eligible articles.ConclusionsThe Modular Review preserves principles that have traditionally been important to systematic reviews but can address multiple research questions simultaneously. The result is an accessible, reliable answer to the question of “what works?”. Thus, it is a well-suited literature review method to support prioritisation, decisions and planning to implement an agenda for health improvement.

Health technology assessment capacity at national level in sub-Saharan Africa: an initial survey of stakeholders.

Background: Health technology assessment (HTA) is an effective tool for supporting priority setting (PS) in health. Stakeholder groups need to understand HTA appropriate to their role and to interpret and critique the evidence produced. We aimed to rapidly assess current health system priorities and policy areas of demand for HTA in Sub-Saharan Africa, and identify key gaps in data and skills to inform targeted capacity building. Methods: We revised an existing survey, delivered it to 357 participants, then analysed responses and explored key themes. Results: There were 51 respondents (14%, 30 full completions) across 14 countries. HTA was considered an important and valuable PS tool with a key role in the design of health benefits packages, clinical guideline development, and service improvement. Medicines were identified as a technology type that would especially benefit from the application of HTA. Using HTA to address safety issues (e.g. low-quality medicines) and value for money concerns was particularly highlighted. The perceived availability and accessibility of suitable local data to support HTA varied widely but was mostly considered inadequate and limited. Respondents also noted a need for training support in research methodology and data gathering. Conclusions: While important in raising awareness of HTA as a tool for PS, this study had a low response rate, and that respondents were self-selected. A more refined survey will be developed to support engagement strategies and capacity building.

Improving antibiotic use through behaviour change: a systematic review of interventions evaluated in low- and middle-income countries.

Antibiotic resistance (ABR) has been identified as a critical threat to global health at the highest policy fora. A leading cause of ABR is the inappropriate use of antibiotics by both patients and healthcare providers. Although countries around the world have committed to developing and implementing national action plans to tackle ABR, there is a considerable gap in evidence about effective behaviour change interventions addressing inappropriate use of antibiotics in low- and middle-income countries (LMICs), where ABR is growing at an alarming rate. We conducted a systematic review to synthesize evidence about the effectiveness and cost-effectiveness of behaviour change interventions to reduce inappropriate use of antibiotics in LMICs. Three databases were searched using a set of predefined search terms and exclusion criteria. The search identified 43 relevant articles. A narrative synthesis of results was conducted using the Behaviour Change Wheel framework to categorize intervention components. The majority of the reviewed studies were set in lower-middle-income or low-income countries located in Sub-Saharan Africa or East Asia and the Pacific. Twenty-four articles evaluated multi-faceted interventions over a period of 12 months or less. Despite the widespread use of antibiotics in the community, interventions were primarily implemented in public health facilities, targeting health professionals such as doctors, nurses, and other allied medical staff. Although education for providers was the most widely used strategy for influencing antibiotic use, it was shown to be most effective when used in conjunction with training or other enabling and supportive measures to nudge behaviour. Six articles included an evaluation of costs of interventions and found a reduction in costs in inpatient and outpatient settings, and one article found a training and guidelines implementation-based intervention to be highly cost-effective. However, the small number of articles conducting an economic evaluation highlights the need for such analyses to be conducted more frequently to support priority setting in resource-constrained environments.

Health technology assessment and priority setting for universal health coverage: a qualitative study of stakeholders\u2019 capacity, needs, policy areas of demand and perspectives in Nigeria

IntroductionHealth technology assessment (HTA) is an effective tool to support priority setting and generate evidence for decision making especially en route to achieving universal health coverage (UHC). We assessed the capacity needs, policy areas of demand, and perspectives of key stakeholders for evidence-informed decision making in Nigeria where HTA is still new.MethodsWe surveyed 31 participants including decision makers, policy makers, academic researchers, civil society organizations, community-based organizations, development partners, health professional organizations. We revised an existing survey to qualitatively examine the need, policy areas of demand, and perspectives of stakeholders on HTA. We then analyzed responses and explored key themes.ResultsMost respondents were associated with organizations that generated or facilitated health services research. Research institutes highlighted their ability to provide expertise and skills for HTA research but some respondents noted a lack of human capacity for HTA. HTA was considered an important and valuable priority-setting tool with a key role in the design of health benefits packages, clinical guideline development, and service improvement. Public health programs, medicines and vaccines were the three main technology types that would especially benefit from the application of HTA. The perceived availability and accessibility of suitable local data to support HTA varied widely but was mostly considered inadequate and limited. Respondents needed evidence on health system financing, health service provision, burden of disease and noted a need for training support in research methodology, HTA and data management.ConclusionThe use of HTA by policymakers and communities in Nigeria is very limited mainly due to inadequate and insufficient capacity to produce and use HTA. Developing sustainable and institutionalized HTA systems requires in-country expertise and active participation from a range of stakeholders. Stakeholder participation in identifying HTA topics and conducting relevant research will enhance the use of HTA evidence produced for decision making. Therefore, the identified training needs for HTA and possible research topics should be considered a priority in establishing HTA for evidence-informed policy making for achieving UHC particularly among the most vulnerable people in Nigeria.

Health technology assessment capacity at national level in sub-Saharan Africa: an initial survey of stakeholders.

Background: Health technology assessment (HTA) is an effective tool to support priority setting (PS) in health. Stakeholder groups need to understand HTA appropriate to their role and to interpret and critique the evidence produced. We aimed to rapidly assess current health system priorities and policy areas of demand for HTA in Sub-Saharan Africa, and identify key gaps in data and skills to inform targeted capacity building. Methods: We revised an existing survey, delivered it to 357 participants, then analysed responses and explored key themes. Results: There were 51 respondents (14%) across 14 countries. HTA was considered an important and valuable PS tool with a key role in the design of health benefits packages, clinical guideline development, and service improvement. Medicines were identified as a technology type that would especially benefit from the application of HTA. Using HTA to address safety issues (e.g. low-quality medicines) and value for money concerns was particularly highlighted. The perceived availability and accessibility of suitable local data to support HTA varied widely but was mostly considered inadequate and limited. Respondents also noted a need for training support in research methodology and data gathering. Conclusions: While important in raising awareness of HTA as a tool for PS, this study had a low response rate, and that respondents were self-selected. A more refined survey will be developed to support engagement strategies and capacity building.

Closing the cycle of innovation in healthcare in Europe.

Pragmatic or practice-oriented comparative effectiveness trials may be conducted to fill the evidence gaps that are revealed after the private sector has performed the trials needed for bringing their product to the market. A tool of increasing importance to identify such evidence gaps is resulting from health technology assessments (HTA) whereby the data derived from clinical research are examined in a systematic manner with reference to effect, safety, as well as additional parameters. Practice-oriented trials are informative for healthcare decision makers, practice-changing and may even be cost-saving for the healthcare payers. There are however only a limited number of funding sources for such trials. Public and private healthcare payers should stimulate the conduct of practice-oriented trials in their effort to maximize patient benefit within the limitation of the available resources. Pragmatic randomized trials can be performed at low cost when based on existing coded electronic health records and as well health registries. Public health decision makers are increasingly taking advantage of results from health technology assessments to support priority setting. In accordance with this it would appear reasonable that decision makers should get more involved in priority setting and funding also in the field of clinical research in order to provide further evidence needed for assessments, reassessments, and subsequent qualified decisions and resource allocations in health care. A closer dialogue and collaboration between the clinical research and HTA communities would facilitate a more efficient utilization of such opportunities.

Economic Evaluation of Public Health Interventions: An Application to Interventions for the Prevention of Violence Against Women and Girls Implemented by the "What Works to Prevent Violence Against Women and Girls?" Global Program.

Violence against women and girls (VAWG) has important social, economic, and public health impacts. Governments and international donors are increasing their investment in VAWG prevention programs, yet clear guidelines to assess the “value for money” of these interventions are lacking. Improved costing and economic evaluation of VAWG prevention can support programming through supporting priority setting, justifying investment, and planning the financing of VAWG prevention services. This article sets out a standardized methodology for the economic evaluation of complex, that is, multicomponent and/or multiplatform, programs designed to prevent VAWG in low- and middle-income countries (LMICs). It outlines an approach that can be used alongside the most recent guidance for the economic evaluation of public health interventions in LMICs. It defines standardized methods of data collection and analysis, outcomes, and unit costs (i.e., average costs per person reached, output or service delivered), and provides guidance to investigate the uncertainty in cost-effectiveness estimates and report results. The costing approach has been developed and piloted as part of the “What Works to Prevent Violence Against Women and Girls?” (What Works?) program in five countries. This article and its supplementary material can be used by both economists and non-economists to contribute to the generation of new cost-effectiveness data on VAWG prevention, and ultimately improve the allocative efficiency and financing across VAWG programs.

Bibliometric trends of health economic evaluation in Sub-Saharan Africa.

BackgroundCollaboration between Sub-Saharan African researchers is important for the generation and transfer of health technology assessment (HTA) evidence, in order to support priority-setting in health. The objective of this analysis was to evaluate collaboration patterns between countries.MethodsWe conducted a rapid evidence assessment that included a random sample of health economic evaluations carried out in 20 countries (Angola, Botswana, Congo, Lesotho, Madagascar, Malawi, Mauritius, Mozambique, Namibia, Seychelles, South Africa, Swaziland, Tanzania, Zambia, Zimbabwe, Ghana, Kenya, Nigeria, Ethiopia, Uganda). We conducted bibliometric network analysis based on all first authors with a Sub-Saharan African academic affiliation and their co-authored publications (“network-articles”). Then we produced a connection map of collaboration patterns among Sub-Saharan African researchers, reflecting the number of network-articles and the country of affiliation of the main co-authors.ResultsThe sample of 119 economic evaluations mostly related to treatments of communicable diseases, in particular HIV/AIDS (42/119, 35.29 %) and malaria (26/119, 21.85 %). The 39 first authors from Sub-Saharan African institutions together co-authored 729 network-articles. The network analysis showed weak collaboration between health economic researchers in Sub-Saharan Africa, with researchers being more likely to collaborate with Europe and North America than with other African countries. South Africa stood out as producing the highest number of health economic evaluations and collaborations.ConclusionsThe development and evaluation of HTA research networks in Sub-Saharan Africa should be supported, with South Africa central to any such efforts. Organizations and institutions from high income countries interested in supporting priority setting in Sub-Saharan Africa should include promoting collaboration as part of their agendas, in order to take advantage of the potential transferability of results and methods of the available health economic analyses in Africa and internationally.Electronic supplementary materialThe online version of this article (doi:10.1186/s12992-016-0188-2) contains supplementary material, which is available to authorized users.

The need for, and value of, a spatial scan statistical tool for tackling social health inequalities.

Today, one important challenge in developed countries is health inequalities. Research conducted in public health policy issues supply little evidence for effective interventions aiming to improve population health and to reduce health inequalities. There is a need for a powerful tool to support priority setting and guide policy makers in their choice of health interventions, and that maximizes social welfare. This paper proposes to divert a spatial tool based on Kulldorff's scan method to investigate social inequalities in health. This commentary argues that this spatial approach can be a useful tool to tackle social inequalities in health by guiding policy makers at three levels: (i) supporting priority setting and planning a targeted intervention; (ii) choosing actions or interventions which will be performed for the whole population, but with a scale and intensity proportionate to need; and (iii) assessing health equity of public interventions.

Using multicriteria decision analysis to support research priority setting in biomedical translational research projects.

Translational research is conducted to achieve a predefined set of economic or societal goals. As a result, investment decisions on where available resources have the highest potential in achieving these goals have to be made. In this paper, we first describe how multicriteria decision analysis can assist in defining the decision context and in ensuring that all relevant aspects of the decision problem are incorporated in the decision making process. We then present the results of a case study to support priority setting in a translational research consortium aimed at reducing the burden of disease of type 2 diabetes. During problem structuring, we identified four research alternatives (primary, secondary, tertiary microvascular, and tertiary macrovascular prevention) and a set of six decision criteria. Scoring of these alternatives against the criteria was done using a combination of expert judgement and previously published data. Lastly, decision analysis was performed using stochastic multicriteria acceptability analysis, which allows for the combined use of numerical and ordinal data. We found that the development of novel techniques applied in secondary prevention would be a poor investment of research funds. The ranking of the remaining alternatives was however strongly dependent on the decision maker's preferences for certain criteria.

The national responsibility approach to setting conservation priorities—Recommendations for its use

The implementation of conservation strategies for species and habitats is frequently hampered by the availability of the necessary resources. These should be prioritized and focused on those species and habitats most in need, but also in regard to the importance of their distribution in a certain region, country or other administrative unit. In that perspective, the concept of national responsibilities (NR) is a recently developed tool to support priority setting. It captures the impact of the loss of a particular species or habitat within the focal region (usually a country) may have on the global persistence of that species or habitat type. Although the method consists of a few simple steps and is not very demanding in regard to data availability per species and habitat type, it is still impossible to determine NRs for all species and habitats. Here, we focus on the difficulties in determining NRs due to missing distribution data, varying interpretations of definitions especially in respect to habitat types, and differences in data formats and maps using European examples of these data limitations and sources of bias. These include artificially enlarged distribution areas resulting from grid cells being reported more than once, gridded shapefiles stretching into the sea or into other biogeographic regions, and differences in the size and the shape of grid cells and hence the resolution of maps. While focusing on European examples, these sources of bias are also relevant for conservation efforts on a global scale. Our analysis stresses the importance of quickly improving data quality, availability and comparability to render conservation more efficient. We give policy relevant examples on how the NR approach can be applied, e.g. how to help attributing budgets to poorer countries, on which species and habitats to focus limited monitoring resources, and how to consider newly emerging diseases. Generally, our analyses suggests (i) to develop clear global data standards, (ii) to regularly assess data to keep up with advances in data handling, and (iii) to use downscaling approaches for biodiversity data to a higher resolution for reducing the impact of bias to a negligible level together with improving the overall quality of distribution data for conservation purposes.

Promoting mental health and well-being: integrating individual, organisational and community-level indicators

The development of an integrated set of mental health promotion indicators at individual, organisational and community levels. There is increasing recognition that the implementation of effective and sustainable strategies for the promotion of mental health and well-being requires the development of indicators to support priority setting, establishing targets and measuring progress. This article aims to contribute to this task by bringing together recent work on individual, organisational and community indicators that shows progress in the promotion of mental health and well-being. An initial set of indicators is proposed, informed by current knowledge from research and practice settings.