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Evidence mapping for decision making: feasibility versus accuracy - when to abandon high sensitivity in electronic searches.

ABSTRACT: Mapping the evidence is a relatively new methodological approach and may be helpful for the development of research questions and decisions about their relevance and priority. However, the amount of data available today leads to challenges for scientists sometimes being confronted with literature searches retrieving over 30,000 results for screening.We conducted an evidence mapping of the topic "diabetes and driving" to investigate its suitability for an evidence-based national clinical guideline. In addition, we compared a highly sensitive search with a highly specific one.Based on a systematic review, our database searches were limited to publications from 2002 to present in English and German language.Due to the strongly focused topic and the limits, our sensitive search identified a manageable number of references including sufficient evidence to answer our research question. Using the specific search strategy, we achieved a reduction of citations by 25%, concurrently identifying 88% of relevant references.Evidence mapping with the intention of gaining an overview of a research field does not require high level accuracy in contrary to systematic reviews. Keeping this distinction in mind, a mass of extraneous information will be avoided by using specific instead of highly sensitive search strategies.

SUBMITTER: Buchberger B

PROVIDER: S-EPMC4951635 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Evidence mapping for decision making: feasibility versus accuracy - when to abandon high sensitivity in electronic searches.

Buchberger Barbara B Krabbe Laura L Lux Beate B Mattivi Jessica Tajana JT

German medical science : GMS e-journal 20160719

<h4>Background</h4>Mapping the evidence is a relatively new methodological approach and may be helpful for the development of research questions and decisions about their relevance and priority. However, the amount of data available today leads to challenges for scientists sometimes being confronted with literature searches retrieving over 30,000 results for screening.<h4>Objectives</h4>We conducted an evidence mapping of the topic "diabetes and driving" to investigate its suitability for an evi ...[more]

PMID: 27499726

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Project description:BackgroundMinistries of health in low- and middle-income countries often lack timely quality data for data-driven decision making in healthcare networks. We describe the design and implementation of decision-support electronic tools by the Ministry of Health of the State of Chiapas, in Mexico, as part of Salud Mesoamerica Initiative.MethodsThree electronic decision-support tools were designed through an iterative process focused on streamlined implementation: 1) to collect and report health facility data at health facilities; 2) to compile and analyze data at health district and central level; and, 3) to support stratified sampling of health facilities. Data was collected for five composite indicators measuring availability of equipment, medicines, and supplies for maternal and child health. Quality Assurance Teams collected data, evaluated results and supported quality improvement. Data was also analyzed at the central level and health districts for decision-making.ResultsData from 300 health facilities in four health districts was collected and analyzed (November 2014-June 2015). The first wave revealed gaps on availability of equipment and supplies in more than half of health facilities. Electronic tools provided the ministry of health officers new ways to visualize data, identify patterns and make hypothesis on root-causes. Between the first and second measurement, the number of missing items decreased, and actions performed by quality improvement teams became more proactive. In the final measurement, 89.7-100% of all health facilities achieved all the required items for each indicator.ConclusionsOur experience could help guide others seeking to implement electronic decision-support tools in low- and middle-income countries. Electronic decision-support tools supported data-driven decision-making by identifying gaps on heatmaps and graphs at the health facility, subdistrict, district or state level. Through a rapid improvement process, the Ministry of Health met targets of externally verified indicators. Using available information technology resources facilitated prompt implementation and adoption of technology.

Project description:BackgroundThere is a longstanding concern about the accuracy of surrogate consent in representing the health care and research preferences of those who lose their ability to decide for themselves. We sought informed, deliberative views of the older general public (?50 years old) regarding their willingness to participate in dementia research and to grant leeway to future surrogates to choose an option contrary to their stated wishes.Methodology/principal findings503 persons aged 50+ recruited by random digit dialing were randomly assigned to one of three groups: deliberation, education, or control. The deliberation group attended an all-day education/peer deliberation session; the education group received written information only. Participants were surveyed at baseline, after the deliberation session (or equivalent time), and one month after the session, regarding their willingness to participate in dementia research and to give leeway to surrogates, regarding studies of varying risk-benefit profiles (a lumbar puncture study, a drug randomized controlled trial, a vaccine randomized controlled trial, and an early phase gene transfer trial). At baseline, 48% (gene transfer scenario) to 92% (drug RCT) were willing to participate in future dementia research. A majority of respondents (57-71% depending on scenario) were willing to give leeway to future surrogate decision-makers. Democratic deliberation increased willingness to participate in all scenarios, to grant leeway in 3 of 4 scenarios (lumbar puncture, vaccine, and gene transfer), and to enroll loved ones in research in all scenarios. On average, respondents were more willing to volunteer themselves for research than to enroll their loved ones.Conclusions/significanceMost people were willing to grant leeway to their surrogates, and this willingness was either sustained or increased after democratic deliberation, suggesting that the attitude toward leeway is a reliable opinion. Eliciting a person's current preferences about future research participation should also involve eliciting his or her leeway preferences.

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Evidence mapping for decision making: feasibility versus accuracy - when to abandon high sensitivity in electronic searches.

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Evidence mapping for decision making: feasibility versus accuracy - when to abandon high sensitivity in electronic searches.

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