How to identify existing literature on patients' knowledge, views, and values: the development of a validated search filter

Monique Wessels; Lian Hielkema; Trudy van der Weijden

doi:10.3163/1536-5050.104.4.014

How to identify existing literature on patients' knowledge, views, and values: the development of a validated search filter

Monique Wessels^*, Lian Hielkema, Trudy van der Weijden

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Objective: The research sought to establish validated search filters for retrieval of studies on patients' knowledge and values. Setting: Two nonprofit organizations in the Netherlands were studied for guideline development. Methods: An existing filter was adapted to three bibliographic interfaces. After defining the scope, a reference database was built for the development of the new filters. The performance of the new filters was validated in different disease categories. Results: Sensitivity, specificity, precision, negative predictive value, and accuracy were (%): 90.5/98/ 77/99.2/97 (MEDLINE-Ovid), 90.1/98.8/79.3/99.5/98.3 (PubMed), and 93.1/98.4/81.8/99.6/98.7 (Embase). Conclusions: The filters provide pragmatic tools for searching for patients' issues. Further optimization and validation is recommended.

Original language	English
Pages (from-to)	320-324
Journal	Journal of the Medical Library Association
Volume	104
Issue number	4
DOIs	https://doi.org/10.3163/1536-5050.104.4.014
Publication status	Published - Oct 2016

Keywords

Medical Subject Headings: Patient Preference
Patient Participation
Patient Rights
Patient-Centered Care
Information Storage and Retrieval/Methods
Sensitivity and Specificity

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10.3163/1536-5050.104.4.014Licence: CC BY

Cite this

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title = "How to identify existing literature on patients' knowledge, views, and values: the development of a validated search filter",

abstract = "Objective: The research sought to establish validated search filters for retrieval of studies on patients' knowledge and values. Setting: Two nonprofit organizations in the Netherlands were studied for guideline development. Methods: An existing filter was adapted to three bibliographic interfaces. After defining the scope, a reference database was built for the development of the new filters. The performance of the new filters was validated in different disease categories. Results: Sensitivity, specificity, precision, negative predictive value, and accuracy were (%): 90.5/98/ 77/99.2/97 (MEDLINE-Ovid), 90.1/98.8/79.3/99.5/98.3 (PubMed), and 93.1/98.4/81.8/99.6/98.7 (Embase). Conclusions: The filters provide pragmatic tools for searching for patients' issues. Further optimization and validation is recommended.",

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author = "Monique Wessels and Lian Hielkema and {van der Weijden}, Trudy",

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doi = "10.3163/1536-5050.104.4.014",

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AU - Hielkema, Lian

AU - van der Weijden, Trudy

PY - 2016/10

Y1 - 2016/10

N2 - Objective: The research sought to establish validated search filters for retrieval of studies on patients' knowledge and values. Setting: Two nonprofit organizations in the Netherlands were studied for guideline development. Methods: An existing filter was adapted to three bibliographic interfaces. After defining the scope, a reference database was built for the development of the new filters. The performance of the new filters was validated in different disease categories. Results: Sensitivity, specificity, precision, negative predictive value, and accuracy were (%): 90.5/98/ 77/99.2/97 (MEDLINE-Ovid), 90.1/98.8/79.3/99.5/98.3 (PubMed), and 93.1/98.4/81.8/99.6/98.7 (Embase). Conclusions: The filters provide pragmatic tools for searching for patients' issues. Further optimization and validation is recommended.

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KW - Medical Subject Headings: Patient Preference

KW - Patient Participation

KW - Patient Rights

KW - Patient-Centered Care

KW - Information Storage and Retrieval/Methods

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JO - Journal of the Medical Library Association

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How to identify existing literature on patients' knowledge, views, and values: the development of a validated search filter

Abstract

Keywords

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