plueme/wizJson huggingface dataset:
location: nan, 'Global 
year: 2020 source: BMC 
title: Integrating evidence from research into decision-making for controlling endemic tropical diseases in South East Nigeria: perceptions of producers and users of evidence on barriers and solutions 
abstract:BackgroundEndemic tropical diseases (ETDs) constitute a significant health burden in resource-poor countries. Weak integration of research evidence into policy and practice poses a major challenge to the control of ETDs. This study was undertaken to explore barriers to the use of research evidence in decision-making for controlling ETDs. It also highlights potential strategies for addressing these barriers, including the gaps in research generation and utilisation in the context of endemic disease control.MethodsInformation on barriers and solutions to integrating research evidence into decision-making for controlling ETDs in Anambra State, Nigeria, was collected from 68 participants (producers and users of evidence) during structured discussions in a workshop. Participants were purposively selected and allocated to groups based on their current involvement in endemic disease control and expertise. Discussions were facilitated with a topic guide and detailed notes were taken by an appointed recorder. Outputs from the discussions were synthesised and analysed manually.ResultsCross-cutting barriers include a weak research linkage between producers and users of evidence and weak capacity to undertake health policy and systems research (HPSR). Producers of evidence were purported to conceptualise and frame their research questions based on their academic interests and funders’ focus without recourse to the decision-makers. Conversely, poor demand for research evidence was reported among users of evidence. Another user barrier identified was moribund research units of the Department of Planning Research and Statistics within the State Ministry of Health. Potential solutions for addressing these barriers include creation of knowledge networks and partnerships between producers and users of evidence, institutionalisation of sustainable capacity-building of both parties in HPSR and revival of State research units.ConclusionsEvidence-informed decision-making for controlling ETDs is limited by constraints in the interactions of some factors between the users (supply side) and producers (demand side) of evidence. These constraints could be solved through stronger research collaborations, institutionalisation of HPSR, and frameworks for getting research into policy and practice.
location: nan, 'Global 
year: 2020 source: BMC 
title: The impact of differing frames on early stages of intersectoral collaboration: the case of the First 1000 Days Initiative in the Western Cape Province 
abstract:BackgroundWhile intersectoral collaboration is considered valuable and important for achieving health outcomes, there are few examples of successes. The literature on intersectoral collaboration suggests that success relies on a shared understanding of what can be achieved collectively and whether stakeholders can agree on mutual goals or acceptable trade-offs. When health systems are faced with negotiating intersectoral responses to complex issues, achieving consensus across sectors can be a challenging and uncertain process. Stakeholders may present divergent framings of the problem based on their disciplinary background, interests and institutional mandates. This raises an important question about how different frames of problems and solutions affect the potential to work across sectors during the initiating phases of the policy process.MethodsIn this paper, this question was addressed through an analysis of the case of the First 1000 Days (FTD) Initiative, an intersectoral approach targeting early childhood in the Western Cape Province of South Africa. We conducted a documentary analysis of 34 policy and other documents on FTD (spanning global, national and subnational spheres) using Schmidt’s conceptualisation of policy ideas in order to elicit framings of the policy problem and solutions.ResultsWe identified three main frames, associated with different sectoral positionings — a biomedical frame, a nurturing care frame and a socioeconomic frame. Anchored in these different frames, ideas of the problem (definition) and appropriate policy solutions engaged with FTD and the task of intersectoral collaboration at different levels, with a variety of (sometimes cross) purposes.ConclusionsThe paper concludes on the importance of principled engagement processes at the beginning of collaborative processes to ensure that different framings are revealed, reflected upon and negotiated in order to arrive at a joint determination of common goals.
location: nan, 'Global 
year: 2020 source: BMC 
title: Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers 
abstract:BackgroundPromising health interventions tested in pilot studies will only achieve population-wide impact if they are implemented at scale across communities and health systems. Scaling up effective health interventions is vital as not doing so denies the community the most effective services and programmes. However, there remains a paucity of practical tools to assess the suitability of health interventions for scale-up. The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up.MethodsThe ISAT was developed over three stages; the first stage involved a literature review to identify similar tools and frameworks that could be used to guide scalability assessments, and expert input to develop draft ISAT content. In the second stage, the draft ISAT tool was tested with end users. The third stage involved revising and re-testing the ISAT with end users to further refine the language and structure of the final ISAT.ResultsA variety of information and sources of evidence should be used to complete the ISAT. The ISAT consists of three parts. Part A: ‘setting the scene’ requires consideration of the context in which the intervention is being considered for scale-up and consists of five domains, as follows: (1) the problem; (2) the intervention; (3) strategic/political context; (4) evidence of effectiveness; and (5) intervention costs and benefits. Part B asks users to assess the potential implementation and scale-up requirements within five domains, namely (1) fidelity and adaptation; (2) reach and acceptability; (3) delivery setting and workforce; (4) implementation infrastructure; and (5) sustainability. Part C generates a graphical representation of the strengths and weaknesses of the readiness of the proposed intervention for scale-up. Users are also prompted for a recommendation as to whether the intervention (1) is recommended for scale-up, (2) is promising but needs further information before scaling up, or (3) does not yet merit scale-up.ConclusionThe ISAT fills an important gap in applied scalability assessment and can become a critical decision support tool for policy-makers and practitioners when selecting health interventions for scale-up. Although the ISAT is designed to be a health policy and practitioner tool, it can also be used by researchers in the design of research to fill important evidence gaps.
location: nan, 'Global 
year: 2019 source: BMC 
title: Optimisation: defining and exploring a concept to enhance the impact of public health initiatives 
abstract:BackgroundRepeated, data-driven optimisation processes have been applied in many fields to rapidly transform the performance of products, processes and interventions. While such processes may similarly be employed to enhance the impact of public health initiatives, optimisation has not been defined in the context of public health and there has been little exploration of its key concepts.MethodsWe used a modified, three-round Delphi study with an international group of researchers, public health policy-makers and practitioners to (1) generate a consensus-based definition of optimisation in the context of public health and (2i) describe key considerations for optimisation in that context.A pre-workshop literature review and elicitation of participant views regarding optimisation in public health (round 1) were followed by a daylong workshop and facilitated face-to-face group discussions to refine the definition and generate key considerations (round 2); finally, post-workshop discussions were undertaken to refine and finalise the findings (round 3). A thematic analysis was performed at each round. Study findings reflect an iterative consultation process with study participants.ResultsThirty of 33 invited individuals (91%) participated in the study. Participants reached consensus on the following definition of optimisation in public health: “A deliberate, iterative and data-driven process to improve a health intervention and/or its implementation to meet stakeholder-defined public health impacts within resource constraints”.A range of optimisation considerations were explored. Optimisation was considered most suitable when existing public health initiatives are not sufficiently effective, meaningful improvements from an optimisation process are anticipated, quality data to assess impacts are routinely available, and there are stable and ongoing resources to support it. Participants believed optimisation could be applied to improve the impacts of an intervention, an implementation strategy or both, on outcomes valued by stakeholders or end users. While optimisation processes were thought to be facilitated by an understanding of the mechanisms of an intervention or implementation strategy, no agreement was reached regarding the best approach to inform decisions about modifications to improve impact.ConclusionsThe study findings provide a strong basis for future research to explore the potential impact of optimisation in the field of public health.
location: nan, 'Global 
year: 2019 source: BMC 
title: Promoting the creation of R&D intentions in primary healthcare measured by a validated instrument 
abstract:BackgroundPrimary healthcare has a long and successful patient care history in Sweden. Nevertheless, a research-oriented attitude has been more or less absent in this context. In society today, access to information has significantly influenced the nature of patients’ demand for up-to-date healthcare. A prerequisite for this new demand is health professionals who are interested in novel ways of thinking and view a change of work practices as necessary. One way to achieve this goal is by means of strategic communication, which is a relatively new interdisciplinary field. The aim of this study was to analyse the role of strategic communication in the creation of intentions in Research and Development (R&D) among primary healthcare staff as measured by a validated instrument.MethodsAn intervention study on staff was performed. A 15-item questionnaire was validated and implemented. All primary healthcare staff from the southwestern Swedish province of Halland were included. In total, 846 employees (70%) agreed to participate in the measurements. After 12 years, 352 individuals who had participated in the intervention and remained in the organisation were identified and followed up. The intervention comprised established communication channels. The measurements were performed after 7 and 12 years. A questionnaire was designed for this purpose. The questions were validated by a factor analysis, and the degree of reliability was measured with Cronbach’s alpha coefficient. χ2 and Fisher’s exact tests were used as statistical tests in comparisons.ResultsFactor analysis identified five pure factors (most Cronbach’s alpha > 0.70). Strategic communication contributed to a significant improvement in the staff members’ interest in R&D and willingness to change in both the short (P < 0.05) and long (P < 0.05) term. The positive attitude was stable over time.ConclusionsStrategic communication seems to be a significant tool for creating a stable positive attitude towards R&D in the primary healthcare context. The creation of a positive attitude towards a scientific approach is a relevant finding that deserves special attention in a context as complex as healthcare. Using a validated instrument seems to contribute to pure results in this case.
location: nan, 'Global 
year: 2019 source: BMC 
title: Stakeholders’ experiences with the evidence aid website to support ‘real-time’ use of research evidence to inform decision-making in crisis zones: a user testing study 
abstract:BackgroundHumanitarian action in crisis zones is fraught with many challenges, including lack of timely and accessible research evidence to inform decision-making about humanitarian interventions. Evidence websites have the potential to address this challenge. Evidence Aid is the only evidence website designed for crisis zones that focuses on providing research evidence in the form of systematic reviews. The objective of this study is to explore stakeholders’ views of Evidence Aid, contributing further to our understanding of the use of research evidence in decision-making in crisis zones.MethodsWe designed a qualitative user-testing study to collect interview data from stakeholders about their impressions of Evidence Aid. Eligible stakeholders included those with and without previous experience of Evidence Aid. All participants were either currently working or have worked within the last year in a crisis zone. Participants were asked to perform the same user experience-related tasks and answer questions about this experience and their knowledge needs. Data were analysed using a deductive framework analysis approach drawing on Morville’s seven facets of the user experience — findability, usability, usefulness, desirability, accessibility, credibility and value.ResultsA total of 31 interviews were completed with senior decision-makers (n = 8), advisors (n = 7), field managers (n = 7), analysts/researchers (n = 5) and healthcare providers (n = 4). Participant self-reported knowledge needs varied depending on their role. Overall, participants did not identify any ‘major’ problems (highest order) and identified only two ‘big’ problems (second highest order) with using the Evidence Aid website, namely the lack of a search engine on the home page and that some full-text articles linked to/from the site require a payment. Participants identified seven specific suggestions about how to improve Evidence Aid, many of which can also be applied to other evidence websites.ConclusionsStakeholders in crisis zones found Evidence Aid to be useful, accessible and credible. However, they experienced some problems with the lack of a search engine on the home page and the requirement for payment for some full-text articles linked to/from the site.
location: nan, 'Global 
year: 2019 source: BMC 
title: Fostering implementation of knowledge into health practice: study protocol for the validation and redevelopment of the Knowledge Uptake and Utilization Tool 
abstract:BackgroundMeasurement of what knowledge is taken-up and how that information is used to inform practice and policies can provide an understanding about the effectiveness of knowledge uptake and utilization processes. In 2007, the Knowledge Uptake and Utilization Tool (KUUT) was developed to evaluate the implementation of knowledge into practice. The KUUT has been used by numerous large health organizations despite limited validity evidence and a narrow understanding about how the tool is used in practice and interpreted by users. As such, the overall purpose of this protocol is to redevelop the KUUT and gather validity evidence to examine and support its use in various health-related organizations. This protocol paper outlines a validation and redevelopment procedure for the KUUT using the unitary view of validity.MethodsThe protocol outlined in this article proceeds through four phases, starting with redeveloping the tool, then evaluating validity evidence based on: test content, response processes and internal structure. The initial phase gathers information to redevelop the tool, and evaluates item content and response format. The second phase evaluates response process validity evidence by examining how a variety of users interact with the tool. In the third phase, the tool will be pilot tested with knowledge users and, in the final phase, psychometric properties of the tool will be examined and a final scoring structure will be determined. A knowledge translation plan described herein outlines where the final tool will be housed and how the information about the tool will be disseminated.DiscussionThis protocol outlines a procedure to gather different sources of validity evidence for the KUUT. By addressing limitations in the original KUUT, such as complexities with scoring, a redeveloped KUUT supporting validity evidence will enhance the ability of health-related organizations to effectively use this tool for its intended purpose.
location: nan, 'Global 
year: 2019 source: BMC 
title: Utilisation of evidence from Thailand’s National Health Examination Survey in policy development: finding the weakest link 
abstract:BackgroundHealth surveillance and survey data are helpful in evidence-informed policy decisions. This study is part of an evaluation of the National Health Examination Survey (NHES) programme in Thailand. This paper focuses on the obstacles in the translation of survey information into policies at a national level.MethodsIn-depth interviews with relevant individuals and representatives of institutes were carried out for the data collection. A total of 26 focal informants included executives and staff of NHES funders, government health agencies, civil society organisations, health experts, NHES programme managers and researchers in the survey network.ResultsUtilisation of NHES data in policy-making is limited for many reasons. Despite the potential users’ positive views on the technical integrity of experts and practitioners involved in the NHES, the strength of employing health examinations in the data collection is not well recognised. Meanwhile, alternative health surveillance platforms that offer similar information on a shorter timescale are preferable in policy monitoring and evaluation. In sum, the lack of governance of Thailand’s health surveillance system is identified as a key element hindering the translation of health surveys, including the NHES, into policies.ConclusionDespite an adequate capacity to conduct population health surveys, the lack of governance structure and function has resulted in a fragmented health monitoring system. Large and small survey projects are conducted and funded by different institutes without common policy direction and alignment mechanisms for prioritising survey topics, collective planning and capacity-building programmes for survey practitioners and users. Lessons drawn from Thailand’s NHES can be helpful for policy-makers in other low- and middle-income countries, as effective governance for evidence generation and utilisation is necessary in all contexts, regardless of income level and available resources.
location: nan, 'Global 
year: 2019 source: BMC 
title: The relationship between government research funding and the cancer burden in South Korea: implications for prioritising health research 
abstract:BackgroundIn this study, we aimed to assess health research funding allocation in South Korea by analysing the relationship between government funding and disease burden in South Korea, specifically focusing on cancers.MethodsThe relationship between research funding and the cancer burden, measured in disability-adjusted life-years (DALYs), was analysed using a linear regression method over a 10-year interval. Funding information on 25 types of cancer was obtained from the National Science and Technology Information Service portal in South Korea. Measures of cancer burden were obtained from Global Burden of Disease studies. The funding predictions were derived from regression analysis and compared with actual funding allocations. In addition, we evaluated how the funding distribution reflected long-term changes in the burden and the burden specific to South Korea compared with global values.ResultsKorean funding in four periods, 2005–2007, 2008–2010, 2011–2013 and 2015–2017, were associated with the cancer burden in 2003, 2006, 2009 and 2013, respectively. For DALYs, the correlation coefficients were 0.79 and 0.82 in 2003 and 2013, respectively, which were higher than the values from other countries. However, the changes in DALYs (1990–2006) were not associated with the funding changes (from 2005 to 2007 to 2015–2017). In addition, the value differences between Korean and global DALYs were not associated with Korean government research funding.ConclusionsAlthough research funding was associated with the cancer burden in South Korea during the last decade, the distribution of research funds did not appropriately reflect the changes in burden nor the differences between the South Korean and global burden levels. The policy-makers involved in health research budgeting should consider not only the absolute burden values for singular years but also the long-term changes in burden and the country-specific burden when they prioritise public research projects.
location: nan, 'Global 
year: 2019 source: BMC 
title: How and why do win–win strategies work in engaging policy-makers to implement Health in All Policies? A multiple-case study of six state- and national-level governments 
abstract:BackgroundMuch of the research about Health in All Policies (HiAP) implementation is descriptive, and there have been calls for more evaluative evidence to explain how and why successes and failures have occurred. In this cross-case study of six state- and national-level governments (California, Ecuador, Finland, Norway, Scotland and Thailand), we tested hypotheses about win–win strategies for engaging policy-makers in HiAP implementation drawing on components identified in our previous systems framework.MethodsWe used two sources of data — key informant interviews and peer-reviewed and grey literature. Using a protocol, we created context–mechanism–outcome pattern configurations to articulate mechanisms that explain how win–win strategies work and fail in different contexts. We then applied our evidence for all cases to the systems framework. We assessed the quality of evidence within and across cases in terms of triangulation of sources and strength of evidence. We also strengthened hypothesis testing using replication logic.ResultsWe found robust evidence for two mechanisms about how and why win–win strategies build partnerships for HiAP implementation — the use of shared language and the value of multiple outcomes. Within our cases, the triangulation was strong, both hypotheses were supported by literal and contrast replications, and there was no support against them. For the third mechanism studied, using the public-health arguments win–win strategy, we only found evidence from Finland. Based on our systems framework, we expected that the most important system components to using win–win strategies are sectoral objectives, and we found empirical support for this prediction.ConclusionsWe conclude that two mechanisms about how and why win–win strategies build partnerships for HiAP implementation — the use of shared language and the value of multiple outcomes — were found as relevant to the six settings. Both of these mechanisms trigger a process of developing synergies and releasing potentialities among different government sectors and these interactions between sectors often work through sectoral objectives. These mechanisms should be considered when designing future HiAP initiatives and their implementation to enhance the emergence of non-health sector policy-makers’ engagement.