<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/rss.css" type="text/css"?>
<rdf:RDF xmlns="http://purl.org/rss/1.0/"
    xmlns:cc="http://web.resource.org/cc/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:extra="http://www.w3.org/1999/xhtml"
    xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
    <channel rdf:about="http://health-policy-systems.com/feeds/mostaccessed/journal?quantity=&amp;format=rss&amp;version=">
        <title>Health Research Policy and Systems - Most accessed articles</title>
        <link>http://www.health-policy-systems.com</link>
        <description>The most accessed research articles published by Health Research Policy and Systems</description>
        <dc:date>2010-03-06T00:00:00Z</dc:date>
        <items>
            <rdf:Seq>
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/8/1/6" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/1/1/2" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/8/1/2" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/8/1/7" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/8/1/4" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/8/1/3" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/7/S1/I1" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/8/1/5" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/7/1/28" />
                                <rdf:li rdf:resource="http://www.health-policy-systems.com/content/3/1/3" />
                            </rdf:Seq>
        </items>
        <extra:info rdf:parseType="Literal">
            <html:div style="font:14px Verdana, Geneva, Arial, Helvetica, sans-serif" xmlns:html="http://www.w3.org/1999/xhtml">
                <html:span style="font-weight:bold">
                    This is an RSS newsfeed from BioMed Central
                </html:span>
                <html:br />
                <html:span style="font-size: 12px;">
                    It is intended to be used with an RSS reader. For more information about RSS newsfeeds from BioMed Central, visit
                    <html:br />
                    <html:a href="http://www.biomedcentral.com/info/about/rss/" style="color:#3333CC; font-size:12px;">
                        http://www.biomedcentral.com/info/about/rss/
                    </html:a>
                    <html:br />
                </html:span>
            </html:div>
        </extra:info>
        <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </channel>
        <item rdf:about="http://www.health-policy-systems.com/content/8/1/6">
        <title>Systematic review of methods for evaluating healthcare research economic impact</title>
        <description>Background:
The economic benefits of healthcare research require study so that appropriate resources can be allocated to this research, particularly in developing countries. As a first step, we performed a systematic review to identify the methods used to assess the economic impact of healthcare research, and the outcomes.MethodAn electronic search was conducted in relevant databases using a combination of specific keywords. In addition, 21 relevant Web sites were identified.
Results:
The initial search yielded 8,416 articles. After studying titles, abstracts, and full texts, 18 articles were included in the analysis. Eleven other reports were found on Web sites. We found that the outcomes assessed as healthcare research payback included direct cost-savings, cost reductions in healthcare delivery systems, benefits from commercial advancement, and outcomes associated with improved health status. Two methods were used to study healthcare research payback: macro-economic studies, which examine the relationship between research studies and economic outcome at the aggregated level, and case studies, which examine specific research projects to assess economic impact.
Conclusions:
Our study shows that different methods and outcomes can be used to assess the economic impacts of healthcare research. There is no unique methodological approach for the economic evaluation of such research. In our systematic search we found no research that had evaluated the economic return of research in low and middle income countries. We therefore recommend a consensus on practical guidelines at international level on the basis of more comprehensive methodologies (such as Canadian Academic of Health Science  and payback frameworks) in order to build capacity, arrange for necessary informative infrastructures and promote necessary skills for economic evaluation studies.</description>
        <link>http://www.health-policy-systems.com/content/8/1/6</link>
                <dc:creator>Bahareh Yazdizadeh</dc:creator>
                <dc:creator>Reza Majdzadeh</dc:creator>
                <dc:creator>Hojat Salmasian</dc:creator>
                <dc:source>Health Research Policy and Systems 2010, 8:6</dc:source>
        <dc:date>2010-03-02T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-8-6</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>6</prism:startingPage>
        <prism:publicationDate>2010-03-02T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/1/1/2">
        <title>The utilisation of health research in policy-making: concepts, examples and methods of assessment</title>
        <description>The importance of health research utilisation in policy-making, and of understanding the mechanisms involved, is increasingly recognised. Recent reports calling for more resources to improve health in developing countries, and global pressures for accountability, draw greater attention to research-informed policy-making. Key utilisation issues have been described for at least twenty years, but the growing focus on health research systems creates additional dimensions.The utilisation of health research in policy-making should contribute to policies that may eventually lead to desired outcomes, including health gains. In this article, exploration of these issues is combined with a review of various forms of policy-making. When this is linked to analysis of different types of health research, it assists in building a comprehensive account of the diverse meanings of research utilisation.Previous studies report methods and conceptual frameworks that have been applied, if with varying degrees of success, to record utilisation in policy-making. These studies reveal various examples of research impact within a general picture of underutilisation.Factors potentially enhancing utilisation can be identified by exploration of: priority setting; activities of the health research system at the interface between research and policy-making; and the role of the recipients, or &apos;receptors&apos;, of health research. An interfaces and receptors model provides a framework for analysis.Recommendations about possible methods for assessing health research utilisation follow identification of the purposes of such assessments. Our conclusion is that research utilisation can be better understood, and enhanced, by developing assessment methods informed by conceptual analysis and review of previous studies.</description>
        <link>http://www.health-policy-systems.com/content/1/1/2</link>
                <dc:creator>Stephen Hanney</dc:creator>
                <dc:creator>Miguel Gonzalez-Block</dc:creator>
                <dc:creator>Martin Buxton</dc:creator>
                <dc:creator>Maurice Kogan</dc:creator>
                <dc:source>Health Research Policy and Systems 2003, 1:2</dc:source>
        <dc:date>2003-01-13T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-1-2</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>1</prism:volume>
        <prism:startingPage>2</prism:startingPage>
        <prism:publicationDate>2003-01-13T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/8/1/2">
        <title>Mobile phone radiation health risk controversy: the reliability and sufficiency of science behind the safety standards
</title>
        <description>There is ongoing discussion whether the mobile phone radiation causes any health effects. The International Commission on Non-Ionizing Radiation Protection, the International Committee on Electromagnetic Safety and the World Health Organization are assuring that there is no proven health risk and that the present safety limits protect all mobile phone users. However, based on the available scientific evidence, the situation is not as clear. The majority of the evidence comes from in vitro laboratory studies and is of very limited use for determining health risk. Animal toxicology studies are inadequate because it is not possible to &quot;overdose&quot; microwave radiation, as it is done with chemical agents, due to simultaneous induction of heating side-effects. There is a lack of human volunteer studies that would, in unbiased way, demonstrate whether human body responds at all to mobile phone radiation. Finally, the epidemiological evidence is insufficient due to, among others, selection and misclassification bias and the low sensitivity of this approach in detection of health risk within the population. This indicates that the presently available scientific evidence is insufficient to prove reliability of the current safety standards. Therefore, we recommend to use precaution when dealing with mobile phones and, whenever possible and feasible, to limit body exposure to this radiation. Continuation of the research on mobile phone radiation effects is needed in order to improve the basis and the reliability of the safety standards.</description>
        <link>http://www.health-policy-systems.com/content/8/1/2</link>
                <dc:creator>Dariusz Leszczynski</dc:creator>
                <dc:creator>Zhengping Xu</dc:creator>
                <dc:source>Health Research Policy and Systems 2010, 8:2</dc:source>
        <dc:date>2010-01-27T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-8-2</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>2</prism:startingPage>
        <prism:publicationDate>2010-01-27T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/8/1/7">
        <title>Prioritization strategies in clinical practice guidelines development: a pilot study </title>
        <description>ObjectiveFew methodological studies address the prioritization of clinical topics for the development of Clinical Practice Guidelines (CPGs). The aim of this study was to validate a methodology for Priority Determination of Topics (PDT) of CPGs.Methods and resultsFirstly, we developed an instrument for PDT with 41 criteria that were grouped under 10 domains, based on a comprehensive systematic search. Secondly, we performed a survey of stakeholders involved in CPGs development, and end users of guidelines, using the instrument. Thirdly, a pilot testing of the PDT procedure was performed in order to choose 10 guideline topics among 34 proposed projects; using a multi-criteria analysis approach, we validated a mechanism that followed five stages: determination of the composition of groups, item/domain scoring, weights determination, quality of the information used to support judgments, and finally, topic selection. Participants first scored the importance of each domain, after which four different weighting procedures were calculated (including the survey results). The process of weighting was determined by correlating the data between them. We also reported the quality of evidence used for PDT. Finally, we provided a qualitative analysis of the process. The main domains used to support judgment, having higher quality scores and weightings, were feasibility, disease burden and implementation information needs. Other important domains such as user preferences, adverse events, potential for health promotion, social effects, and economic impact had lower relevance for clinicians. Criteria for prioritization were mainly judged through professional experience, while good quality information was only used in 15% of cases.
Conclusion:
The main advantages of the proposed methodology are supported by the use of a systematic approach to identify, score and weight guideline topics selection, limiting or exposing the influence of personal biases. However, the methodology was complex and included a number of quantitative and qualitative approaches reflecting the difficulties of the prioritization process.</description>
        <link>http://www.health-policy-systems.com/content/8/1/7</link>
                <dc:creator>Ludovic Reveiz</dc:creator>
                <dc:creator>Diana Tellez</dc:creator>
                <dc:creator>Juan Castillo</dc:creator>
                <dc:creator>Paola Mosquera</dc:creator>
                <dc:creator>Marcela Torres</dc:creator>
                <dc:creator>Luis Cuervo</dc:creator>
                <dc:creator>Andres Cardona</dc:creator>
                <dc:creator>Rodrido Pardo</dc:creator>
                <dc:source>Health Research Policy and Systems 2010, 8:7</dc:source>
        <dc:date>2010-03-06T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-8-7</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>7</prism:startingPage>
        <prism:publicationDate>2010-03-06T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/8/1/4">
        <title>Bridging the gaps among research, policy and practice in ten low- and middle-income countries: development and testing of a questionnaire for researchers</title>
        <description>Background:
A questionnaire could assist researchers, policymakers, and healthcare providers to describe and monitor changes in efforts to bridge the gaps among research, policy and practice. No questionnaire focused on researchers&apos; engagement in bridging activities related to high-priority topics (or the potential correlates of their engagement) has been developed and tested in a range of low- and middle-income countries (LMICs).
Methods:
Country teams from ten LMICs (China, Ghana, India, Iran, Kazakhstan, Laos, Mexico, Pakistan, Senegal, and Tanzania) participated in the development and testing of a questionnaire. To assess reliability we calculated the internal consistency of items within each of the ten conceptual domains related to bridging activities (specifically Cronbach&apos;s alpha). To assess face and content validity we convened several teleconferences and a workshop. To assess construct validity we calculated the correlation between scales and counts (i.e., criterion measures) for the three countries that employed both and we calculated the correlation between different but theoretically related (i.e., convergent) measures for all countries.
Results:
Internal consistency (Cronbach&apos;s alpha) for sets of related items was very high, ranging from 0.89 (0.86-0.91) to 0.96 (0.95-0.97), suggesting some item redundancy. Both face and content validity were determined to be high. Assessments of construct validity using criterion-related measures showed statistically significant associations for related measures (with gammas ranging from 0.36 to 0.73). Assessments using convergent measures also showed significant associations (with gammas ranging from 0.30 to 0.50).
Conclusions:
While no direct comparison can be made to a comparable questionnaire, our findings do suggest a number of strengths of the questionnaire but also the need to reduce item redundancy and to test its capacity to monitor changes over time.</description>
        <link>http://www.health-policy-systems.com/content/8/1/4</link>
                <dc:creator>David Cameron</dc:creator>
                <dc:creator>John Lavis</dc:creator>
                <dc:creator>G Emmanuel Guindon</dc:creator>
                <dc:creator>Tasleem Akhtar</dc:creator>
                <dc:creator>Francisco Becerra-Posada</dc:creator>
                <dc:creator>Godwin Ndossi</dc:creator>
                <dc:creator>Boungnong Boupha</dc:creator>
                <dc:creator>Research to Policy and Practice Study Team (rppst)</dc:creator>
                <dc:source>Health Research Policy and Systems 2010, 8:4</dc:source>
        <dc:date>2010-01-29T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-8-4</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>4</prism:startingPage>
        <prism:publicationDate>2010-01-29T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/8/1/3">
        <title>Bridging the gaps among research, policy and practice in ten low- and middle-income countries: Development and testing of a questionnaire for health-care providers</title>
        <description>Background:
The reliability and validity of instruments used to survey health-care providers&apos; views about and experiences with research evidence have seldom been examined.
Methods:
Country teams from ten low- and middle-income countries (China, Ghana, India, Iran, Kazakhstan, Laos, Mexico, Pakistan, Senegal and Tanzania) participated in the development, translation, pilot-testing and administration of a questionnaire designed to measure health-care providers&apos; views and activities related to improving their clinical practice and their awareness of, access to and use of research evidence, as well as changes in their clinical practice that they attribute to particular sources of research evidence that they have used. We use internal consistency as a measure of the questionnaire&apos;s reliability and, whenever possible, we use explanatory factor analyses to assess the degree to which questions that pertain to a single domain actually address common themes. We assess the questionnaire&apos;s face validity and content validity and, to a lesser extent, we also explore its criterion validity.
Results:
The questionnaire has high internal consistency, with Cronbach&apos;s alphas between 0.7 and 0.9 for 16 of 20 domains and sub-domains (identified by factor analyses). Cronbach&apos;s alphas are greater than 0.9 for two domains, suggesting some item redundancy. Pre- and post-field work assessments indicate the questionnaire has good face validity and content validity. Our limited assessment of criterion validity shows weak but statistically significant associations between the general influence of research evidence among providers and more specific measures of providers&apos; change in approach to preventing or treating a clinical condition.
Conclusion:
Our analysis points to a number of strengths of the questionnaire - high internal consistency (reliability) and good face and content validity - but also to areas where it can be shortened without losing important conceptual domains.</description>
        <link>http://www.health-policy-systems.com/content/8/1/3</link>
                <dc:creator>G Emmanuel Guindon</dc:creator>
                <dc:creator>John Lavis</dc:creator>
                <dc:creator>Boungnong Boupha</dc:creator>
                <dc:creator>Guang Shi</dc:creator>
                <dc:creator>Mintou Sidibe</dc:creator>
                <dc:creator>Botagoz Turdaliyeva</dc:creator>
                <dc:creator>Research to Policy and Practice Study Team (rppst)</dc:creator>
                <dc:source>Health Research Policy and Systems 2010, 8:3</dc:source>
        <dc:date>2010-01-29T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-8-3</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>3</prism:startingPage>
        <prism:publicationDate>2010-01-29T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/7/S1/I1">
        <title>SUPPORT Tools for evidence-informed health Policymaking (STP)</title>
        <description>This article is the Introduction to a series written for people responsible for making decisions about health policies and programmes and for those who support these decision makers.Knowing how to find and use research evidence can help policymakers and those who support them to do their jobs better and more efficiently. Each article in this series presents a proposed tool that can be used by those involved in finding and using research evidence to support evidence-informed health policymaking. The series addresses four broad areas: 1. Supporting evidence-informed policymaking 2. Identifying needs for research evidence in relation to three steps in policymaking processes, namely problem clarification, options framing, and implementation planning 3. Finding and assessing both systematic reviews and other types of evidence to inform these steps, and 4. Going from research evidence to decisions. Each article begins with between one and three typical scenarios relating to the topic. These scenarios are designed to help readers decide on the level of detail relevant to them when applying the tools described. Most articles in this series are structured using a set of questions that guide readers through the proposed tools and show how to undertake activities to support evidence-informed policymaking efficiently and effectively. These activities include, for example, using research evidence to clarify problems, assessing the applicability of the findings of a systematic review about the effects of options selected to address problems, organising and using policy dialogues to support evidence-informed policymaking, and planning policy monitoring and evaluation. In several articles, the set of questions presented offers more general guidance on how to support evidence-informed policymaking. Additional information resources are listed and described in every article. The evaluation of ways to support evidence-informed health policymaking is a developing field and feedback about how to improve the series is welcome.</description>
        <link>http://www.health-policy-systems.com/content/7/S1/I1</link>
                <dc:source>Health Research Policy and Systems 2009, 7:I1</dc:source>
        <dc:date>2009-12-16T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-7-S1-I1</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>I1</prism:startingPage>
        <prism:publicationDate>2009-12-16T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/8/1/5">
        <title>Progress towards the achievement of MDG4 in the Commonwealth of Independent States: uncertain data, clear priorities</title>
        <description>Data on under five mortality in the twelve countries of the Commonwealth of Independent States show important fluctuations over time due to variations in quality of data, definitions of neonatal deaths and methods of mortality estimation. Despite the uncertainties regarding mortality trends, the analysis of health and social information from different sources offers clues to identify priority areas and key strategic directions for accelerating the achievement of the 4th Millennium Development Goal. Neonatal deaths represent from 40% to over 50% of under five deaths in all these countries. Maternal mortality was above 50 per 100,000 in 2005, despite the good coverage with antenatal care and births assisted by skilled birth attendants. The scanty information on quality of perinatal care indicates widespread substandard care at all levels. Stunting in children under five is above 10% in ten out of twelve countries and coexists with emerging overweight. Exclusivity and duration of breastfeeding fall short of what is recommended. There are important inequalities in child and maternal mortality, malnutrition and access and use of health services within countries. Taken as a whole, the available information clearly indicates that priority should be given to improvement of the health of women in reproductive age and of the quality of perinatal care, including the establishment of reliable data collection systems. To achieve this, action will need to focus on strengthening the capacity of the health system to improve the technical content of service provision, and on improving access and appropriate use of services by the most disadvantaged groups. The involvement of other sectors will be necessary to improve reproductive health and nutrition at community level and to tackle inequity. Comparisons between countries with similar socioeconomic background but different health policies seem to indicate that gradual progression towards universal coverage with essential health care through a national health insurance system is associated with larger reduction of child mortality than troubled transition towards a privatized and unregulated health system.</description>
        <link>http://www.health-policy-systems.com/content/8/1/5</link>
                <dc:creator>Adriano Cattaneo</dc:creator>
                <dc:creator>Ilkhom Gafurov</dc:creator>
                <dc:creator>Tamara Bomestar</dc:creator>
                <dc:creator>Marianna Bacci</dc:creator>
                <dc:creator>Sanjiv Kumar</dc:creator>
                <dc:creator>Dragoslav Popovic</dc:creator>
                <dc:creator>Giorgio Tamburlini</dc:creator>
                <dc:source>Health Research Policy and Systems 2010, 8:5</dc:source>
        <dc:date>2010-02-12T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-8-5</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>5</prism:startingPage>
        <prism:publicationDate>2010-02-12T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/7/1/28">
        <title>Knowledge translation research in population health: establishing a collaborative research agenda</title>
        <description>Background:
Despite the increasing mobilization of researchers and funding organizations around knowledge translation (KT) in Canada and elsewhere, many questions have been only partially answered, particularly in the field of population health. This article presents the results of a systematic process to draw out possible avenues of collaboration for researchers, practitioners and decision-makers who work in the area of KT. The main objective was to establish a research agenda on knowledge translation in population health.
Methods:
Using the Concept Mapping approach, the research team wanted to identify priority themes for the development of research on KT in population health. Mapping is based on multivariate statistical analyses (multidimensional scaling and hierarchical cluster analysis) in which statements produced during a brainstorming session are grouped in weighted clusters. The final maps are a visual representation of the priority themes of research on KT. Especially designed for facilitating consensus in the understanding and organization of various concepts, the Concept Mapping method proved suitable for achieving this objective.
Results:
The maps were produced by 19 participants from university settings, and from institutions within the health and social services network. Three main perspectives emerge from this operation: (1) The evaluation of the effectiveness of KT efforts is one of the main research priorities; (2) The importance of taking into consideration user contexts in any KT effort; (3) The challenges related to sharing power for decision-making and action-taking among various stakeholder groups. These perspectives open up avenues of collaboration for stakeholders who are involved in research on KT. Besides these three main perspectives, the concept maps reveal three other trends which should be emphasized.
Conclusion:
The Concept Mapping process reported in this article aimed to provoke collective reflection on the research questions that should be studied, in order to foster coherence in research activities in the field of population health. Based on this, it is appropriate to continue to support the development of research projects in KT and the formation of research teams in this field. Research on KT must lead to concrete outcomes within communities that are interested in the question.</description>
        <link>http://www.health-policy-systems.com/content/7/1/28</link>
                <dc:creator>Christian Dagenais</dc:creator>
                <dc:creator>Valery Ridde</dc:creator>
                <dc:creator>Marie-Claire Laurendeau</dc:creator>
                <dc:creator>Karine Souffez</dc:creator>
                <dc:source>Health Research Policy and Systems 2009, 7:28</dc:source>
        <dc:date>2009-12-10T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-7-28</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>28</prism:startingPage>
        <prism:publicationDate>2009-12-10T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.health-policy-systems.com/content/3/1/3">
        <title>The role of NGOs in global health research for development</title>
        <description>Background:
Global health research is essential for development. A major issue is the inequitable distribution of research efforts and funds directed towards populations suffering the world&apos;s greatest health problems. This imbalance is fostering major attempts at redirecting research to the health problems of low and middle income countries. Following the creation of the Coalition for Global Health Research &#8211; Canada (CGHRC) in 2001, the Canadian Society for International Health (CSIH) decided to review the role of non-governmental organizations (NGOs) in global health research. This paper highlights some of the prevalent thinking and is intended to encourage new thinking on how NGOs can further this role.ApproachThis paper was prepared by members of the Research Committee of the CSIH, with input from other members of the Society. Persons working in various international NGOs participated in individual interviews or group discussions on their involvement in different types of research activities. Case studies illustrate the roles of NGOs in global health research, their perceived strengths and weaknesses, and the constraints and opportunities to build capacity and develop partnerships for research.HighlightsNGOs are contributing at all stages of the research cycle, fostering the relevance and effectiveness of the research, priority setting, and knowledge translation to action. They have a key role in stewardship (promoting and advocating for relevant global health research), resource mobilization for research, the generation, utilization and management of knowledge, and capacity development. Yet, typically, the involvement of NGOs in research is downstream from knowledge production and it usually takes the form of a partnership with universities or dedicated research agencies.
Conclusion:
There is a need to more effectively include NGOs in all aspects of health research in order to maximize the potential benefits of research. NGOs, moreover, can and should play an instrumental role in coalitions for global health research, such as the CGHRC. With a renewed sense of purpose and a common goal, NGOs and their partners intend to make strong and lasting inroads into reducing the disease burden of the world&apos;s most affected populations through effective research action.</description>
        <link>http://www.health-policy-systems.com/content/3/1/3</link>
                <dc:creator>Helene Delisle</dc:creator>
                <dc:creator>Janet Hatcher-Roberts</dc:creator>
                <dc:creator>Michelle Munro</dc:creator>
                <dc:creator>Lori Jones</dc:creator>
                <dc:creator>Theresa Gyorkos</dc:creator>
                <dc:source>Health Research Policy and Systems 2005, 3:3</dc:source>
        <dc:date>2005-02-21T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-4505-3-3</dc:identifier>
        <prism:publicationName>Health Research Policy and Systems</prism:publicationName>
        <prism:issn>1478-4505</prism:issn>
        <prism:volume>3</prism:volume>
        <prism:startingPage>3</prism:startingPage>
        <prism:publicationDate>2005-02-21T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <cc:License rdf:about="http://creativecommons.org/licenses/by/2.0/">
        <cc:permits rdf:resource="http://creativecommons.org/ns#Reproduction" />
        <cc:permits rdf:resource="http://creativecommons.org/ns#Distribution" />
        <cc:permits rdf:resource="http://creativecommons.org/ns#DerivativeWorks" />
    </cc:License>
</rdf:RDF>
