Evidence map›Paper›PMID 35409971›Full record

ArticleInternational journal of environmental research and public health2022

Attitudes of Patients with Chronic Diseases toward Management eHealth Applications Systems in Post-COVID-19 Times.

Abdullah H ALsharif

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Abdullah H ALsharifDepartment of Management Information Systems, College of Business Administration-Yanbu, Taibah University, Medina 42353, Saudi Arabia.ORCID 0000-0001-8280-8190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There has been an increase in the adoption of eHealth technologies and applications by health consumers globally because of the restrictions imposed due to the COVID-19 pandemic in the last two years. The sudden change in the users’ attitudes toward eHealth adoption needs to be critically evaluated and understood, as it can be the stepping stone toward rapid digitalization of healthcare operations in Saudi Arabia as a part of Vision 2030. Purpose: The purpose of this study was to evaluate the attitudes of the patients with chronic diseases toward eHealth applications in post-COVID times. Methods: A cross-sectional study design was adopted using the online questionnaire as a data collection instrument. All the health consumers using eHealth services aged above 18 years and living in Saudi Arabia were included in the survey. The survey was conducted for 3 weeks, resulting in a final sample of 234 participants. Results: Overall, 73.8% of the participants stated that they adopted eHealth only out of necessity, while 37.3% stated that they adopted it because no other services were available. Only 10.3% stated that they adopted eHealth out of interest. In relation to the future use of eHealth, 51.5% of the participants stated that they would definitely not use eHealth applications, and 33.6% stated that they would probably them once the pandemic ends. Only 4.4% of the participants stated that they would very much probably, and 10.5% stated they would probably not use eHealth applications once the pandemic ends. a significant difference in opinions in relation to the future adoption of eHealth applications was observed among the male and female participants, and also between the age groups of younger (age <35 years) and older (age ≥35 years) participants. Conclusions: For the change in attitudes (increased adoption of eHealth) to be sustained, policymakers need to develop relevant strategies promoting the use of eHealth in Saudi Arabia.

Indexed as

COVID-19TelemedicineAdultAgedAttitudeChronic DiseaseCross-Sectional StudiesFemaleHumansMalePandemicschronic diseaseseHealtheHealth applicationspost-Covid-19

Identifiers

PMID35409971
PMCPMC8998994

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.