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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Forsgren, Emma Wallström, Sara Feldthusen, Caroline Zechner, Niklas Sawatzky, Richard Öhlén, Joakim |
| Abstract | Research evidence supporting the implementation of centredness in health care is not easily accessible due to the sheer amount of literature available and the diversity in terminology and conceptualisations used. The use of text-mining functions to semi-automate the process of screening and collating citations for a review is a way of tackling the vast amount of research citations available today. There are several programmes that use text-mining functions to facilitate screening and data extraction for systematic reviews. However, the suitability of these programmes for reviews on broad topics of research, as well as the general uptake by researchers, is unclear. This commentary has a dual aim, which consists in outlining the challenges of screening literature in fields characterised by vague and overlapping conceptualisations, and to exemplify this by exploratory use of text-mining in the context of a scoping review on centredness in health care. |
| Related Links | https://systematicreviewsjournal.biomedcentral.com/counter/pdf/10.1186/s13643-023-02242-0.pdf |
| Ending Page | 6 |
| Page Count | 6 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 20464053 |
| DOI | 10.1186/s13643-023-02242-0 |
| Journal | Systematic Reviews |
| Issue Number | 1 |
| Volume Number | 12 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2023-04-29 |
| Access Restriction | Open |
| Subject Keyword | Medicine Public Health Biomedicine Statistics for Life Sciences Health Sciences Systematic review Scoping review Patient-centered care Person-centred care Text-mining EPPI-reviewer Literature review as topic Medicine/Public Health |
| Content Type | Text |
| Subject | Medicine |
| Journal Impact Factor | 6.3/2023 |
| 5-Year Journal Impact Factor | 4.5/2023 |
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