Literature DB >> 31273574

The Internet as a Source of Health Information and Services.

Maria M Bujnowska-Fedak1, Joanna Waligóra2, Agnieszka Mastalerz-Migas2.   

Abstract

The Internet is increasingly used for health-related purposes and evolves with the ever-changing needs of patients. The aim of this study was to assess the level of reliance on the Internet as a health information source, to examine which online communication activities are the most common for health purposes, and to determine the attitudes and needs of patients in this area and the factors affecting its use. A total of 1000 adults were selected from the Polish population by random sampling. The survey was administered by the Computer-Assisted Telephone Interview (CATI). The study concluded that 76.9% of the participants used the Internet for health purposes, among whom 72.6% of active and 27.4% of passive users were distinguished. The role of the Internet as a source of health information has increased, which corresponds to a growing interest in online health services. The majority of individuals searching for health information in the Internet lived in urban areas, had a high level of education, and was professionally active. We conclude that the increased interest in the use of the Internet related to health determines the direction in which e-health should be developed in the future.

Entities:  

Keywords:  E-health services; E-patient; Health information; Health professionals; Internet user; Needs of patients; Online communication; Sociodemographic factors; Telecare

Mesh:

Year:  2019        PMID: 31273574     DOI: 10.1007/5584_2019_396

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  13 in total

1.  Internet search by the patients undergoing hernia surgery about the disease and surgeon selection.

Authors:  C Ugurlu; H Celasin; B Bayar; H Kulacoglu
Journal:  Hernia       Date:  2022-01-12       Impact factor: 2.920

2.  Analysis of quality information provided by "Dr. YouTubeTM" on Phimosis.

Authors:  Simone Cilio; Claudia Collà Ruvolo; Carmine Turco; Massimiliano Creta; Marco Capece; Roberto La Rocca; Giuseppe Celentano; Gianluigi Califano; Simone Morra; Alberto Melchionna; Francesco Mangiapia; Felice Crocetto; Paolo Verze; Alessandro Palmieri; Ciro Imbimbo; Vincenzo Mirone
Journal:  Int J Impot Res       Date:  2022-03-24       Impact factor: 2.896

3.  Using text mining and sentiment analysis to analyse YouTube Italian videos concerning vaccination.

Authors:  Annamaria Porreca; Francesca Scozzari; Marta Di Nicola
Journal:  BMC Public Health       Date:  2020-02-19       Impact factor: 3.295

4.  A Clinical Tool (CUE-tool) for Health Care Professionals to Assess the Usability and Quality of the Content of Medical Information Websites: Electronic Delphi Study.

Authors:  Leonie Klompstra; Maria Liljeroos; Johan Lundgren; Brynja Ingadottir
Journal:  J Med Internet Res       Date:  2021-02-17       Impact factor: 5.428

5.  Modifying UTAUT2 for a cross-country comparison of telemedicine adoption.

Authors:  Anne Schmitz; Ana M Díaz-Martín; Mª Jesús Yagüe Guillén
Journal:  Comput Human Behav       Date:  2022-01-07

6.  YouTube as a source of information about pulpotomy and pulp capping: a cross sectional reliability analysis.

Authors:  Konstantinos Kodonas; Anastasia Fardi
Journal:  Restor Dent Endod       Date:  2021-07-06

Review 7.  [Web search data as health data? : Geographic differences, temporal trends, and topics of interest from internet search engine analyses in Germany].

Authors:  S Ziehfreund; L Tizek; A Zink
Journal:  Hautarzt       Date:  2021-11-23       Impact factor: 1.198

8.  Inequity in the Access to eHealth and Its Decomposition Case of Poland.

Authors:  Justyna Rój
Journal:  Int J Environ Res Public Health       Date:  2022-02-18       Impact factor: 3.390

9.  YouTube as source of information on 2019 novel coronavirus outbreak: a cross sectional study of English and Mandarin content.

Authors:  Priyanka Khatri; Shweta R Singh; Neeta Kesu Belani; Yin Leng Yeong; Rahul Lohan; Yee Wei Lim; Winnie Zy Teo
Journal:  Travel Med Infect Dis       Date:  2020-03-20       Impact factor: 6.211

10.  Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram.

Authors:  Tim Ken Mackey; Jiawei Li; Vidya Purushothaman; Matthew Nali; Neal Shah; Cortni Bardier; Mingxiang Cai; Bryan Liang
Journal:  JMIR Public Health Surveill       Date:  2020-08-25
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