Knowledge brokering between researchers and policymakers in Fiji to develop policies to reduce obesity: a process evaluation

BACKGROUND

The importance of using research evidence in decisionmaking at the policy level has been increasingly recognized. However, knowledge brokering to engage researchers and policymakers in government and non-government organizations is challenging. This paper describes and evaluates the knowledge exchange processes employed by the Translational Research on Obesity Prevention in Communities (TROPIC) project that was conducted from July 2009 to April 2012 in Fiji. TROPIC aimed to enhance: the evidence-informed decisionmaking skills of policy developers; and awareness and utilization of local and other obesity-related evidence to develop policies that could potentially improve the nation's food and physical activity environments. The specific research question was: Can a knowledge brokering approach advance evidence-informed policy development to improve eating and physical activity environments in Fiji.

METHODS

The intervention comprised: recruiting organizations and individuals; mapping policy environments; analyzing organizational capacity and support for evidence-informed policymaking (EIPM); developing EIPM skills; and facilitating development of evidence-informed policy briefs. Flexible timetabling of activities was essential to accommodate multiple competing priorities at both individual and organizational levels. Process diaries captured the duration, frequency and type of each interaction and/or activity between the knowledge brokering team and participants or their organizations.

RESULTS

Partnerships were formalized with high-level officers in each of the six participating organization. Participants (n = 49) developed EIPM skills (acquire, assess, adapt and apply evidence) through a series of four workshops and applied this knowledge to formulate briefs with ongoing one-to-one support from TROPIC team members. A total of 55% of participants completed the 12 to18 month intervention, and 63% produced one or more briefs (total = 20) that were presented to higher-level officers within their organizations. The knowledge brokering team spent an average of 30 hours per participant during the entire TROPIC process.

CONCLUSIONS

Active engagement of participating organizations from the outset resulted in strong individual and organizational commitment to the project. The TROPIC initiative provided a win-win situation, with participants expanding skills in EIPM and policy development, organizations increasing EIPM capacity, and researchers providing data to inform policy.

Unintended Consequences of COVID-19 Non-Pharmaceutical Interventions (NPIs) for Population Health and Health Inequalities

Since the start of the COVID-19 pandemic in early 2020, governments around the world have adopted an array of measures intended to control the transmission of the SARS-CoV-2 virus, using both pharmaceutical and non-pharmaceutical interventions (NPIs). NPIs are public health interventions that do not rely on vaccines or medicines and include policies such as lockdowns, stay-at-home orders, school closures, and travel restrictions. Although the intention was to slow viral transmission, emerging research indicates that these NPIs have also had unintended consequences for other aspects of public health. Hence, we conducted a narrative review of studies investigating these unintended consequences of NPIs, with a particular emphasis on mental health and on lifestyle risk factors for non-communicable diseases (NCD): physical activity (PA), overweight and obesity, alcohol consumption, and tobacco smoking. We reviewed the scientific literature using combinations of search terms such as 'COVID-19', 'pandemic', 'lockdowns', 'mental health', 'physical activity', and 'obesity'. NPIs were found to have considerable adverse consequences for mental health, physical activity, and overweight and obesity. The impacts on alcohol and tobacco consumption varied greatly within and between studies. The variability in consequences for different groups implies increased health inequalities by age, sex/gender, socioeconomic status, pre-existing lifestyle, and place of residence. In conclusion, a proper assessment of the use of NPIs in attempts to control the spread of the pandemic should be weighed against the potential adverse impacts on other aspects of public health. Our findings should also be of relevance for future pandemic preparedness and pandemic response teams.

The EVITA framework for evidence-based mental health policy agenda setting in low- and middle-income countries

The burden of mental illness is excessive, but many countries lack evidence-based policies to improve practice. Mental health research evidence translation into policymaking is a 'wicked problem', often failing despite a robust evidence base. In a recent systematic review, we identified a gap in frameworks on agenda setting and actionability, and pragmatic, effective tools to guide action to link research and policy are needed. Responding to this gap, we developed the new EVITA 1.1 (EVIdence To Agenda setting) conceptual framework for mental health research-policy interrelationships in low- and middle-income countries (LMICs). We (1) drafted a provisional framework (EVITA 1.0); (2) validated it for specific applicability to mental health; (3) conducted expert in-depth interviews to (a) validate components and mechanisms and (b) assess intelligibility, functionality, relevance, applicability and effectiveness. To guide interview validation, we developed a simple evaluation framework. (4) Using deductive framework analysis, we coded and identified themes and finalized the framework (EVITA 1.1). Theoretical agenda-setting elements were added, as targeting the policy agenda-setting stage was found to lead to greater policy traction. The framework was validated through expert in-depth interviews (n = 13) and revised. EVITA 1.1 consists of six core components [advocacy coalitions, (en)actors, evidence generators, external influences, intermediaries and political context] and four mechanisms (capacity, catalysts, communication/relationship/partnership building and framing). EVITA 1.1 is novel and unique because it very specifically addresses the mental health research-policy process in LMICs and includes policy agenda setting as a novel, effective mechanism. Based on a thorough methodology, and through its specific design and mechanisms, EVITA has the potential to improve the challenging process of research evidence translation into policy and practice in LMICs and to increase the engagement and capacity of mental health researchers, policy agencies/planners, think tanks, NGOs and others within the mental health research-policy interface. Next, EVITA 1.1 will be empirically tested in a case study.

Analysis of a Small Group of Stakeholders Regarding Advancing Health Technology Assessment in India

OBJECTIVES

This study aimed to explore and understand the perspectives of a small group of stakeholders involved in health technology assessment (HTA) for evidence-informed decision making on policy in the Indian health system.

METHODS

Semi-structured interviews were conducted in April-June 2013 with policymakers, academicians, industry experts, and community representatives in India to understand their knowledge of, position regarding, and interest in HTA. A semi-structured questionnaire was designed on the basis of a World Health Organization framework for evidence-informed health care policymaking.

RESULTS

Seven key informant interviews were conducted to represent the various stakeholders. Although there is a good understanding of HTA among the national-level policymakers, academicians, civil society representatives, and industry experts, there is lack of knowledge about the subject among policymakers at the lower level. There is a positive perception about producing and using HTA for decision making among all the stakeholders interviewed. Nevertheless, at the national level, institutions prefer to treat the use of HTA evidence with caution because the capacity for adopting evidence-based tools in the health system is very limited.

CONCLUSIONS

This small-size stakeholder analysis suggests a mixed response in implementing HTA in India. There are, however, factors involved in implementing such tools that can be dealt with using various approaches. Finally, there is a positive view on the national level toward pushing the HTA agenda forward to improve the decision-making process in health care.

The utilization of systematic review evidence in formulating India's National Health Programme guidelines between 2007 and 2021

Evidence-informed policymaking integrates the best available evidence on programme outcomes to guide decisions at all stages of the policy process and its importance becomes more pronounced in resource-constrained settings. In this paper, we have reviewed the use of systematic review evidence in framing National Health Programme (NHP) guidelines in India. We searched official websites of the different NHPs, linked to the main website of the Ministry of Health and Family Welfare (MoHFW), in December 2020 and January 2021. NHP guideline documents with systematic review evidence were identified and information on the use of this evidence was extracted. We classified the identified systematic review evidence according to its use in the guideline documents and analysed the data to provide information on the different factors and patterns linked to the use of systematic review evidence in these documents. Systematic reviews were mostly visible in guideline documents addressing maternal and newborn health, communicable diseases and immunization. These systematic reviews were cited in the guidelines to justify the need for action, to justify recommendations for action and opportunities for local adaptation, and to highlight implementation challenges and justify implementation strategies. Guideline documents addressing implementation cited systematic reviews about the problems and policy options more often than citing systematic reviews about implementation. Systematic reviews were linked directly to support statements in few guideline documents, and sometimes the reviews were not appropriately cited. Most of the systematic reviews providing information on the nature and scale of the policy problem included Indian data. It was seen that since 2014, India has been increasingly using systematic review evidence for public health policymaking, particularly for some of its high-priority NHPs. This complements the increasing investment in research synthesis centres and procedures to support evidence-informed decision making, demonstrating the continued evolution of India's evidence policy system.

From bench to policy: a critical analysis of models for evidence-informed policymaking in healthcare

Background

The use of research evidence in policy making is a complex and challenging process that has a long history in various fields, especially in healthcare. Different terms and concepts have been used to describe the relationship between research and policy, but they often lack clarity and consensus. To address this gap, several strategies and models have been proposed to facilitate evidence informed policy making and to identify the key factors and mechanisms involved. This study aims to critically review the existing models of evidence informed policy making (EIPM) in healthcare and to assess their strengths and limitations.

Method

A systematic search and review conducted to identify and critically assess EIPM models in healthcare. We searched PubMed, Web of Science and Scopus databases as major electronic databases and applied predefined inclusion criteria to select the models. We also checked the citations of the included models to find other scholars' perspectives. Each model was described and critiqued each model in detail and discussed their features and limitations.

Result

Nine models of EIPM in healthcare were identified. While models had some strengths in comprehension, flexibility and theoretical foundations, analysis also identified limitations including: presupposing rational policymaking; lacking alternatives for time-sensitive situations; not capturing policy complexity; neglecting unintended effects; limited context considerations; inadequate complexity concepts; limited collaboration guidance; and unspecified evidence adaptations.

Conclusion

The reviewed models provide useful frameworks for EIPM but need further improvement to address their limitations. Concepts from sociology of knowledge, change theory and complexity science can enrich the models. Future EIPM models should better account for the complexity of research-policy relationships and provide tailored strategies based on the policy context.

Responding to COVID-19 pandemic at the local level: lessons from Yemen

BACKGROUND

The health authorities in Hadhramaut Valley and Desert responded to the COVID-19 pandemic differently from other areas in Yemen.

AIMS

To document the response of the local authority and Ministry of Health in Hadhramaut to COVID-19.

METHODS

The local authority in Syoun (Hadhramaut Valley) convened a meeting of all key players from the health and related sectors in February 2020 where a decision was made to establish a committee to evaluate the health situation and assess the needs. Based on the results of these assessments, a plan was designed to respond to the pandemic. We reviewed available documents on the COVID-19 response in Hadhramaut, interviewed the main stakeholders, and conducted site visits to the COVID-19 response centres.

RESULTS

There was evidence of the crucial role played by the local authority in response to COVID-19. They established 3 well-equipped isolation centres with a total of 142 beds, a stock of 2250 oxygen cylinders, 2 new polymerase chain reaction units, a simplified referral system, and an effective patient follow-up and oxygen home therapy strategy.

CONCLUSION

Political commitment at the local level is crucial to bridge the gap between policy and implementation, especially during infectious disease outbreaks. It is important to train public health leaders on how to effectively assess local health needs and develop effective and efficient response strategy. Lessons from this study in Hadhramaut provide evidence on how local authorities can coordinate response to emerging health needs and update their strategies.

Academic knowledge brokers in Iran's health sector: Characteristics, skills, and qualifications

BACKGROUND

Knowledge brokers, as a bridge between producers and users of knowledge, need a set of skills and abilities to fulfill their role. The current study was carried out with the aim of identifying the characteristics, skills, and qualifications needed by knowledge brokers in Iran's health sector.

MATERIALS AND METHODS

This qualitative study was conducted through semi-structured interviews with 18 participants selected using social network analysis and snowball method from June to December 2022. All interviews were analyzed through the conventional content analysis method using the MAXQDA, version 20.

RESULTS

Two main categories (personality traits and professional competencies) and six subcategories (extroversion, acceptability, problem-solving skills, interactive skills, specialized skills, and specialized knowledge) were identified for knowledge brokers in Iran's health sector. Interpersonal communication skills, negotiation and persuasion skills, knowledge in both policymaking and research fields, and marketing and commercialization skills were defined as the most important factors in knowledge brokering.

CONCLUSION

Identifying and training qualified and interested individuals to undertake the task of knowledge brokering, by taking into account the characteristics identified in this research and strengthening the required skills and qualifications, can increase the effectiveness of knowledge brokering and help to bridge the gap between research and policymaking.