9 research outputs found

    Survey of Argentine Health Researchers on the Use of Evidence in Policymaking

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    <div><p>Objective</p><p>In this study, Argentine health researchers were surveyed regarding their perceptions of facilitators and barriers to evidence-based policymaking in Argentina, as well as their publication activities, and research environment satisfaction.</p><p>Methods</p><p>A self-administered online survey was sent to health researchers in Argentina. The survey questions were based on a preceding qualitative study of Argentine health researchers, as well as the scientific literature.</p><p>Results</p><p>Of the 647 researchers that were reached, 226 accessed the survey, for a response rate of 34.9%. Over 80% of researchers surveyed had never been involved in or contributed to decision-making, while over 90% of researchers indicated they would like to be involved in the decision-making process. Decision-maker self-interest was perceived to be the driving factor in the development of health and healthcare policies. Research conducted by a research leader was seen to be the most influential factor in influencing health policy, followed by policy relevance of the research. With respect to their occupational environment, researchers rated highest and most favourably the opportunities available to present, discuss and publish research results and their ability to further their education and training. Argentine researchers surveyed demonstrated a strong interest and willingness to contribute their work and expertise to inform Argentine health policy development.</p><p>Conclusion</p><p>Despite Argentina’s long scientific tradition, there are relatively few institutionalized linkages between health research results and health policymaking. Based on the results of this study, the disconnect between political decision-making and the health research system, coupled with fewer opportunities for formalized or informal researcher/decision-maker interaction, contribute to the challenges in evidence informing health policymaking in Argentina. Improving personal contact and the building of relationships between researchers and policymakers in Argentina will require taking into account researcher perceptions of policymakers, as highlighted in this study.</p></div

    Publication and Dissemination Patterns of Argentine Researchers (2005–2009).

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    <p>Publication and Dissemination Patterns of Argentine Researchers (2005–2009).</p

    Decision-maker<sup>*</sup> motivations in health policy development, as perceived by health researchers.

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    <p>* where decision-makers are defined as policy advisors, political advisors, politicians.</p><p>Decision-maker<sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0125711#t003fn001" target="_blank">*</a></sup> motivations in health policy development, as perceived by health researchers.</p

    Characteristics of Researcher Respondents.

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    <p>*The <i>Licentiate</i> degree (Spanish: <i>Licenciatura</i>) is a four to six year degree considered equivalent to an M.Sc. or M.A. in North American universities.</p><p>Characteristics of Researcher Respondents.</p

    Influence of Contextual and Environmental Factors on Research Use for Policy Development.

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    <p>Influence of Contextual and Environmental Factors on Research Use for Policy Development.</p

    Additional file 1: of Life on the margins: the experiences of sexual violence and exploitation among Eritrean asylum-seeking women in Israel

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    Questionnaires: The additional file is comprised of the questionnaires used during the study for the purposes of data collection. These questionnaires were used during all key informant interviews, individual interviews and focus group discussions. (DOCX 121 kb

    Additional file 1: Figure S1. of Profile, knowledge, and work patterns of a cadre of maternal, newborn, and child health CHWs focusing on preventive and promotive services in Morogoro Region, Tanzania

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    Overview of Integrated Program MNCH CHW rollout per district. Figure S2. Mean composite scores for CHW knowledge and reported service provision on maternal and child health care across the continuum of care and for specific services. Figure S3. Observed use of job aids during pregnancy home visits (n = 37). Table S1. Ordered logistic regression models for composite scores for overall CHW knowledge and specific sub-domains of pregnancy, postpartum, newborn care, and child health controlling for gender, date of training, education, age, and assets. Table S2. Ordered logistic regression models for composite scores for family planning, infection/injury prevention, malaria, HIV transmission, and nutrition controlling for gender, date of training, education, age, and assets
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