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158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS

BACKGROUND AND AIMS: Search strategies play a major role in developing a systematic review. A comprehensive literature search dramatically reduces publication bias. The higher sensitive search leads to a more well-prepared systematic review. The aim of this study is evaluating the quality of search...

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Autores principales: Fathifar, Zahra, Hasankandi, Hossein Saeedi, Sadeghi-Ghyassi, Fatemeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759654/
http://dx.doi.org/10.1136/bmjopen-2016-015415.158
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author Fathifar, Zahra
Hasankandi, Hossein Saeedi
Sadeghi-Ghyassi, Fatemeh
author_facet Fathifar, Zahra
Hasankandi, Hossein Saeedi
Sadeghi-Ghyassi, Fatemeh
author_sort Fathifar, Zahra
collection PubMed
description BACKGROUND AND AIMS: Search strategies play a major role in developing a systematic review. A comprehensive literature search dramatically reduces publication bias. The higher sensitive search leads to a more well-prepared systematic review. The aim of this study is evaluating the quality of search strategies in decision support system (DSS) systematic reviews. METHODS: A comprehensive literature search using MEDLINE (via Ovid), Embase, Pubmed and Cochrane Library was conducted until September August 2016. The search was limited to systematic reviews and with no language restriction. Meta-reviews were excluded. Only results of searching for “decision support systems” or “decision support system” keywords and limited to title of documents were included in this study. Two independent authors screened the results. Disagreement was resolved by discussion. The search strategies of the included studies were assessed with a nine-question checklist prepared by Faggion et al(1). Data were extracted into Excel. RESULTS: A total of 47 systematic reviews (SRs) were included. There was a dramatic increase in the number of SRs in recent decade; however no significant improvement was seen in search strategies during the time. The mean score of search strategies among SRs was 4.63 (out of 9). The highest score was 7 (21.2%) and more than 53% of SRs obtained a score between 5 and 7. In 74.4% of SRs, 3–8 databases were searched which 40.4% were considered 4 databases. About 55% of SRs reported search keywords and using Boolean operators that has increased in recent years. Near to 98% of studies were not conducted in duplicate. In near to 75% of studies hand-searching was performed but instead, in 72.3% grey literature was not searched and in 65.9% the authors of studies were not contacted for further relevant information. Fortunately, in about 60% of studies the literature search was performed without language restriction. CONCLUSIONS: Lack of duplicate literature searching in systematic reviews was notable. Although most of SRs were searched more than four databases but it seems that in most of them the major databases were not searched and instead, local or specialized databases were considered. Low tendency to grey literature searching was remarkable. It seems that the quality of reporting search strategies in the field of DSS is poor or moderate.
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spelling pubmed-57596542018-02-12 158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS Fathifar, Zahra Hasankandi, Hossein Saeedi Sadeghi-Ghyassi, Fatemeh BMJ Open Abstracts from the 5th International Society for Evidence-Based Healthcare Congress, Kish Island, Ira BACKGROUND AND AIMS: Search strategies play a major role in developing a systematic review. A comprehensive literature search dramatically reduces publication bias. The higher sensitive search leads to a more well-prepared systematic review. The aim of this study is evaluating the quality of search strategies in decision support system (DSS) systematic reviews. METHODS: A comprehensive literature search using MEDLINE (via Ovid), Embase, Pubmed and Cochrane Library was conducted until September August 2016. The search was limited to systematic reviews and with no language restriction. Meta-reviews were excluded. Only results of searching for “decision support systems” or “decision support system” keywords and limited to title of documents were included in this study. Two independent authors screened the results. Disagreement was resolved by discussion. The search strategies of the included studies were assessed with a nine-question checklist prepared by Faggion et al(1). Data were extracted into Excel. RESULTS: A total of 47 systematic reviews (SRs) were included. There was a dramatic increase in the number of SRs in recent decade; however no significant improvement was seen in search strategies during the time. The mean score of search strategies among SRs was 4.63 (out of 9). The highest score was 7 (21.2%) and more than 53% of SRs obtained a score between 5 and 7. In 74.4% of SRs, 3–8 databases were searched which 40.4% were considered 4 databases. About 55% of SRs reported search keywords and using Boolean operators that has increased in recent years. Near to 98% of studies were not conducted in duplicate. In near to 75% of studies hand-searching was performed but instead, in 72.3% grey literature was not searched and in 65.9% the authors of studies were not contacted for further relevant information. Fortunately, in about 60% of studies the literature search was performed without language restriction. CONCLUSIONS: Lack of duplicate literature searching in systematic reviews was notable. Although most of SRs were searched more than four databases but it seems that in most of them the major databases were not searched and instead, local or specialized databases were considered. Low tendency to grey literature searching was remarkable. It seems that the quality of reporting search strategies in the field of DSS is poor or moderate. BMJ Publishing Group 2017-02-08 /pmc/articles/PMC5759654/ http://dx.doi.org/10.1136/bmjopen-2016-015415.158 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Abstracts from the 5th International Society for Evidence-Based Healthcare Congress, Kish Island, Ira
Fathifar, Zahra
Hasankandi, Hossein Saeedi
Sadeghi-Ghyassi, Fatemeh
158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS
title 158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS
title_full 158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS
title_fullStr 158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS
title_full_unstemmed 158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS
title_short 158: ASSESSING THE QUALITY OF SEARCH STRATEGIES IN DECISION SUPPORT SYSTEM (DSS) SYSTEMATIC REVIEWS
title_sort 158: assessing the quality of search strategies in decision support system (dss) systematic reviews
topic Abstracts from the 5th International Society for Evidence-Based Healthcare Congress, Kish Island, Ira
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759654/
http://dx.doi.org/10.1136/bmjopen-2016-015415.158
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