Developing optimal search strategies of clinical pathways in PubMed

ID: 

2134

Session: 

Poster session 2 Thursday: Evidence synthesis - methods / improving conduct and reporting

Date: 

Thursday 14 September 2017 - 12:30 to 14:00

Location: 

All authors in correct order:

Shang W1, Yao L2, Wei L1, Li Y1, Xun Y1, Ling J3, Yang K3
1 School of Public Health, Lanzhou University, China
2 Gansu province people hospital, China
3 Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, China
Presenting author and contact person

Presenting author:

Wenru Shang

Contact person:

Abstract text
Background: Clinical pathway is a tool to achieve case management in the management of the healthcare system, which can improve the quality of medical services and reduce the cost of medical care. Accessing research on clinical pathways quickly and efficiently is a critically important for health practitioners, clinical pathway experts and other related interests.

Objectives: Aim to develop a optimal search strategy for clinical pathways in PubMed.

Methods:An analytic survey was conducted. We determined the sample of journals that published the quantity of top 10 literature of clinical pathway in PubMed database; manual retrieved sample journals published in 2014-2016 as the gold standard; verified the clinical pathways of each retrieval, did statistical analysis and calculation of the sensitivity and specificity of the final selection.

Results: Only 76 (0.4%) of the 14 257 articles were clinical pathways. Different retrieval strategies are retrieved in PubMed database, the sensitivity and specificity was showed in Table 1.The most sensitive strategy included 7-term and had a sensitivity of 76.3% and a specificity of 11.65%. The best measure of specificity (42.86%) was found in a 3-term strategy, but with a considerable fall in sensitivity to 11.84%.

Conclusions: Clinical pathways can be retrieved from PubMed with close to suitable sensitivity or specificity by using empirical search strategies.

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