PURPOSE: The research developed and validated palliative care search filters for use in the general biomedical literature. METHODS: Four general medical journals were hand-searched to identify articles relevant to palliative care, forming a "gold standard" reference set. Searches comprising Medical Subject Headings (MeSH) and text-words were created for use in Ovid MEDLINE, and retrieved references were compared to the gold standard. Sensitivity, specificity, accuracy, and precision rates were calculated. RESULTS: By hand-searching 20,501 articles published in the 4 journals during the 3-year study period (1999-2001), reviewers identified 773 items relevant to palliative care (3.8%). A master search combining 9 MeSH descriptors with 3 text-words achieved 45.4% sensitivity, 99.3% specificity, 73% precision, and 97.3% accuracy. Efforts to increase the sensitivity by modifying 3 relevant published but unvalidated searches did not improve the yield, except in 1 case which resulted in an improved sensitivity of 56.9% but was offset by reduced specificity (92.1%), precision (22%), and accuracy (90.8%). CONCLUSIONS: The study confirmed that literature relevant to palliative care is difficult to identify in general medical journals. While the filter developed in this research represents the best trade-off between sensitivity, specificity, accuracy, and precision, the sensitivity is unacceptably low. Further research, such as frequency analysis of text-words and MeSH terms, is required to increase the sensitivity of searching in this subset of the literature.
PURPOSE: The research developed and validated palliative care search filters for use in the general biomedical literature. METHODS: Four general medical journals were hand-searched to identify articles relevant to palliative care, forming a "gold standard" reference set. Searches comprising Medical Subject Headings (MeSH) and text-words were created for use in Ovid MEDLINE, and retrieved references were compared to the gold standard. Sensitivity, specificity, accuracy, and precision rates were calculated. RESULTS: By hand-searching 20,501 articles published in the 4 journals during the 3-year study period (1999-2001), reviewers identified 773 items relevant to palliative care (3.8%). A master search combining 9 MeSH descriptors with 3 text-words achieved 45.4% sensitivity, 99.3% specificity, 73% precision, and 97.3% accuracy. Efforts to increase the sensitivity by modifying 3 relevant published but unvalidated searches did not improve the yield, except in 1 case which resulted in an improved sensitivity of 56.9% but was offset by reduced specificity (92.1%), precision (22%), and accuracy (90.8%). CONCLUSIONS: The study confirmed that literature relevant to palliative care is difficult to identify in general medical journals. While the filter developed in this research represents the best trade-off between sensitivity, specificity, accuracy, and precision, the sensitivity is unacceptably low. Further research, such as frequency analysis of text-words and MeSH terms, is required to increase the sensitivity of searching in this subset of the literature.
Authors: Nancy L Wilczynski; R Brian Haynes; John N Lavis; Ravi Ramkissoonsingh; Alexandra E Arnold-Oatley Journal: CMAJ Date: 2004-11-09 Impact factor: 8.262
Authors: David Hui; Henrique A Parsons; Shamsha Damani; Stephanie Fulton; Jun Liu; Avery Evans; Maxine De La Cruz; Eduardo Bruera Journal: Oncologist Date: 2011-04-06
Authors: Susanne Hempel; Lisa V Rubenstein; Roberta M Shanman; Robbie Foy; Su Golder; Marjorie Danz; Paul G Shekelle Journal: Implement Sci Date: 2011-08-01 Impact factor: 7.327