Browsing by Author "Rosenbaum, Sarah"

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    A comparative evaluation of PDQ-Evidence
    (2018) Johansen, Marit; Rada G., Gabriel; Rosenbaum, Sarah; Paulsen, Elizabeth; Motaze, Nkengafac V.; Opiyo, Newton; Wiysonge, Charles S.; Ding, Yunpeng; Mukinda, Fidele K.; Oxman, Andrew D.
    Abstract Background A strategy for minimising the time and obstacles to accessing systematic reviews of health system evidence is to collect them in a freely available database and make them easy to find through a simple ‘Google-style’ search interface. PDQ-Evidence was developed in this way. The objective of this study was to compare PDQ-Evidence to six other databases, namely Cochrane Library, EVIPNet VHL, Google Scholar, Health Systems Evidence, PubMed and Trip. Methods We recruited healthcare policy-makers, managers and health researchers in low-, middle- and high-income countries. Participants selected one of six pre-determined questions. They searched for a systematic review that addressed the chosen question and one question of their own in PDQ-Evidence and in two of the other six databases which they would normally have searched. We randomly allocated participants to search PDQ-Evidence first or to search the two other databases first. The primary outcomes were whether a systematic review was found and the time taken to find it. Secondary outcomes were perceived ease of use and perceived time spent searching. We asked open-ended questions about PDQ-Evidence, including likes, dislikes, challenges and suggestions for improvements. Results A total of 89 people from 21 countries completed the study; 83 were included in the primary analyses and 6 were excluded because of data errors that could not be corrected. Most participants chose PubMed and Cochrane Library as the other two databases. Participants were more likely to find a systematic review using PDQ-Evidence than using Cochrane Library or PubMed for the pre-defined questions. For their own questions, this difference was not found. Overall, it took slightly less time to find a systematic review using PDQ-Evidence. Participants perceived that it took less time, and most participants perceived PDQ-Evidence to be slightly easier to use than the two other databases. However, there were conflicting views about the design of PDQ-Evidence. Conclusions PDQ-Evidence is at least as efficient as other databases for finding health system evidence. However, using PDQ-Evidence is not intuitive for some people. Trial registration The trial was prospectively registered in the ISRCTN registry 17 April 2015. Registration number: ISRCTN12742235 .Abstract Background A strategy for minimising the time and obstacles to accessing systematic reviews of health system evidence is to collect them in a freely available database and make them easy to find through a simple ‘Google-style’ search interface. PDQ-Evidence was developed in this way. The objective of this study was to compare PDQ-Evidence to six other databases, namely Cochrane Library, EVIPNet VHL, Google Scholar, Health Systems Evidence, PubMed and Trip. Methods We recruited healthcare policy-makers, managers and health researchers in low-, middle- and high-income countries. Participants selected one of six pre-determined questions. They searched for a systematic review that addressed the chosen question and one question of their own in PDQ-Evidence and in two of the other six databases which they would normally have searched. We randomly allocated participants to search PDQ-Evidence first or to search the two other databases first. The primary outcomes were whether a systematic review was found and the time taken to find it. Secondary outcomes were perceived ease of use and perceived time spent searching. We asked open-ended questions about PDQ-Evidence, including likes, dislikes, challenges and suggestions for improvements. Results A total of 89 people from 21 countries completed the study; 83 were included in the primary analyses and 6 were excluded because of data errors that could not be corrected. Most participants chose PubMed and Cochrane Library as the other two databases. Participants were more likely to find a systematic review using PDQ-Evidence than using Cochrane Library or PubMed for the pre-defined questions. For their own questions, this difference was not found. Overall, it took slightly less time to find a systematic review using PDQ-Evidence. Participants perceived that it took less time, and most participants perceived PDQ-Evidence to be slightly easier to use than the two other databases. However, there were conflicting views about the design of PDQ-Evidence. Conclusions PDQ-Evidence is at least as efficient as other databases for finding health system evidence. However, using PDQ-Evidence is not intuitive for some people. Trial registration The trial was prospectively registered in the ISRCTN registry 17 April 2015. Registration number: ISRCTN12742235 .Abstract Background A strategy for minimising the time and obstacles to accessing systematic reviews of health system evidence is to collect them in a freely available database and make them easy to find through a simple ‘Google-style’ search interface. PDQ-Evidence was developed in this way. The objective of this study was to compare PDQ-Evidence to six other databases, namely Cochrane Library, EVIPNet VHL, Google Scholar, Health Systems Evidence, PubMed and Trip. Methods We recruited healthcare policy-makers, managers and health researchers in low-, middle- and high-income countries. Participants selected one of six pre-determined questions. They searched for a systematic review that addressed the chosen question and one question of their own in PDQ-Evidence and in two of the other six databases which they would normally have searched. We randomly allocated participants to search PDQ-Evidence first or to search the two other databases first. The primary outcomes were whether a systematic review was found and the time taken to find it. Secondary outcomes were perceived ease of use and perceived time spent searching. We asked open-ended questions about PDQ-Evidence, including likes, dislikes, challenges and suggestions for improvements. Results A total of 89 people from 21 countries completed the study; 83 were included in the primary analyses and 6 were excluded because of data errors that could not be corrected. Most participants chose PubMed and Cochrane Library as the other two databases. Participants were more likely to find a systematic review using PDQ-Evidence than using Cochrane Library or PubMed for the pre-defined questions. For their own questions, this difference was not found. Overall, it took slightly less time to find a systematic review using PDQ-Evidence. Participants perceived that it took less time, and most participants perceived PDQ-Evidence to be slightly easier to use than the two other databases. However, there were conflicting views about the design of PDQ-Evidence. Conclusions PDQ-Evidence is at least as efficient as other databases for finding health system evidence. However, using PDQ-Evidence is not intuitive for some people. Trial registration The trial was prospectively registered in the ISRCTN registry 17 April 2015. Registration number: ISRCTN12742235 .
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    Correction to: Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis
    (2021) Meneses-Echavez, José Francisco; Rosenbaum, Sarah; Rada G., Gabriel; Flottorp, Signe; Moberg, Jenny; Alonso Coello, Pablo; Meneses-Echavez, José Francisco; Rosenbaum, Sarah; Rada G., Gabriel; Flottorp, Signe; Moberg, Jenny; Alonso Coello, Pablo
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    Marcos GRADE de la evidencia a la decisión (EtD) : un enfoque sistemático y transparente para tomar decisiones sanitarias bien informadas. 1: Introducción
    (2018) Alonso Coello, Pablo; Schünemann, Holger J.; Moberg, Jenny; Brignardello Petersen, Romina; Akl, Elie A.; Davoli, Marina; Treweek, Shaun; Mustafa, Reem A.; Rada G., Gabriel; Rosenbaum, Sarah; Morellid, Angela; Guyattbc, Gordon H.; Oxman, Andrew D.
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    The GRADE Evidence to Decision (EtD) framework for health system and public health decisions
    (2018) Moberg, Jenny; Oxman, Andrew D.; Rosenbaum, Sarah; Schünemann, Holger J.; Guyatt, Gordon; Flottorp, Signe; Glenton, Claire; Lewin, Simon; Morelli, Angela; Rada G., Gabriel; Alonso-Coello, Pablo
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    Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis
    (2021) Meneses-Echavez, José Francisco; Rosenbaum, Sarah; Rada G., Gabriel; Flottorp, Signe; Moberg, Jenny; Alonso-Coello, Pablo
    Abstract: Background: Evidence to Decision (EtD) frameworks bring clarity, structure and transparency to health care decision making. The interactive Evidence to Decision (iEtD) tool, developed in the context of the DECIDE project and published by Epistemonikos, is a stand-alone online solution for producing and using EtD frameworks. Since its development, little is known about how organizations have been using the iEtD tool and what characterizes users’ experiences with it. This missing information is necessary for any teams planning future developments of the iEtD tool. Methods: This study aimed to describe users’ experiences with the iEtD and identify main barriers and facilitators related to use. We contacted all users registered in the iEtD via email and invited people who identified themselves as having used the solution to a semi-structured interview. Audio recordings were transcribed, and one researcher conducted a directed content analysis of the interviews guided by a user experience framework. Two researchers checked the content independently for accuracy. Results: Out of 860 people contacted, 81 people replied to our introductory email (response rate 9.4%). Twenty of these had used the tool in a real scenario and were invited to an interview. We interviewed all eight users that accepted this invitation (from six countries, four continents). ‘Guideline development’ was the iEtD use scenario they most commonly identified. Most participants reported an overall positive experience, without major difficulties navigating or using the different sections. They reported having used most of the EtD framework criteria. Participants reported tailoring their frameworks, for instance by adding or deleting criteria, translating to another language, or rewording headings. Several people preferred to produce a Word version rather than working online, due to the burden of completing the framework, or lack of experience with the tool. Some reported difficulties working with the exportable formats, as they needed considerable editing. Conclusion: A very limited number of guideline developers have used the iEtD tool published by Epistemonikos since its development. Although users’ general experiences are positive, our work has identified some aspects of the tool that need improvement. Our findings could be also applied to development or improvement of other solutions for producing or using EtD frameworks.