The use of text-mining software to facilitate screening of literature on centredness in health care

被引:0
作者
Emma Forsgren
Sara Wallström
Caroline Feldthusen
Niklas Zechner
Richard Sawatzky
Joakim Öhlén
机构
[1] Sahlgrenska Academy,Institute of Health and Care Sciences
[2] University of Gothenburg,University of Gothenburg Centre for Person
[3] Sahlgrenska Academy,Centred Care (GPCC)
[4] University of Gothenburg,Department of Forensic Psychiatry
[5] Sahlgrenska University Hospital,Department of Occupational Therapy and Physiotherapy
[6] Sahlgrenska University Hospital,Department of Swedish, Multilingualism, Language Technology
[7] University of Gothenburg,School of Nursing
[8] Trinity Western University,Centre for Health Evaluation and Outcome Sciences
[9] Providence Health Care,Palliative Centre
[10] Sahlgrenska University Hospital,undefined
来源
Systematic Reviews | / 12卷
关键词
Systematic review; Scoping review; Patient-centered care; Person-centred care; Text-mining; EPPI-reviewer; Literature review as topic;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 41 条
  • [1] The use of text-mining software to facilitate screening of literature on centredness in health care
    Forsgren, Emma
    Wallstrom, Sara
    Feldthusen, Caroline
    Zechner, Niklas
    Sawatzky, Richard
    Ohlen, Joakim
    SYSTEMATIC REVIEWS, 2023, 12 (01)
  • [2] Understanding How and When Human Factors Are Used in the Software Process: A Text-Mining Based Literature Review
    Ruiz, Mercedes
    Salanitri, Davide
    PRODUCT-FOCUSED SOFTWARE PROCESS IMPROVEMENT, PROFES 2019, 2019, 11915 : 694 - 708
  • [3] A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature
    Pandi, Maria-Theodora
    van der Spek, Peter J.
    Koromina, Maria
    Patrinos, George P.
    FRONTIERS IN PHARMACOLOGY, 2020, 11
  • [4] Applying text-mining to personalization and customization research literature - Who, what and where?
    Sunikka, Anne
    Bragge, Johanna
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (11) : 10049 - 10058
  • [5] Multilayer Growing Neural Gas for Text-Mining of Nursing Care in Computational Systems Care
    Obo, Takenori
    Kaburagi, Rino
    Kubota, Naoyuki
    2023 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ, 2023,
  • [6] A Text-Mining and Bibliographic Analysis of the Economic Development Literature: 1959-2020
    Fang, Li
    URBAN SCIENCE, 2022, 6 (04)
  • [7] Deploying mutation impact text-mining software with the SADI Semantic Web Services framework
    Alexandre Riazanov
    Jonas Bergman Laurila
    Christopher JO Baker
    BMC Bioinformatics, 12
  • [8] Promoting Pro-Environmental Behavior in Policymaking: A Text-Mining Approach for Literature Review
    Azad, Md. Abul Kalam
    Ifti, Mehedi Hasan
    Novera, Chowdhury Noushin
    Huynh, Anh Ngoc Quang
    Dongul, Esra Sipahi
    EVALUATION REVIEW, 2024, 48 (02) : 370 - 398
  • [9] Exploring consumer engagement and satisfaction in health and wellness tourism through text-mining
    Balcioglu, Yavuz Selim
    KYBERNETES, 2024,
  • [10] Identifying naloxone administrations in electronic health record data using a text-mining tool
    Derington, Catherine G.
    Mueller, Shane R.
    Glanz, Jason M.
    Binswanger, Ingrid A.
    SUBSTANCE ABUSE, 2021, 42 (04) : 806 - 812