Evidence map›Paper›PMID 35308419›Full record

ReviewHealth science reports2022

Internet of things in the management of chronic diseases during the COVID-19 pandemic: A systematic review.

Ahmadreza Shamsabadi, Zahra Pashaei, Amirali Karimi, Pegah Mirzapour, Kowsar Qaderi, Mahmoud Marhamati, Alireza Barzegary, Amirata Fakhfouri, Esmaeil Mehraeen, SeyedAhmad SeyedAlinaghi and 1 more

RetractedAbstract readReviewRetracted Publication
In one paragraph

Review in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 16 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 6 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Pooled it
  7. Article
  8. Article
  9. Health 4.0 in the medical sector: a narrative review.Revista da Associacao Medica Brasileira (1992) · 2024
    Article
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  14. Telemedicine Technologies Selection for the Posthospital Patient Care Process after Total Hip Arthroplasty.International journal of environmental research and public health · 2022
    Review
  15. Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Ahmadreza ShamsabadiDepartment of Health Information Technology Esfarayen Faculty of Medical Sciences Esfarayen Iran.
Zahra PashaeiIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors Tehran University of Medical Sciences Tehran Iran.ORCID 0000-0003-2091-2421
Amirali KarimiSchool of Medicine Tehran University of Medical Sciences Tehran Iran.
Pegah MirzapourIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors Tehran University of Medical Sciences Tehran Iran.
Kowsar QaderiDepartment of Midwifery Kermanshah University of Medical Sciences Kermanshah Iran.
Mahmoud MarhamatiInstructor of Medical Surgical Nursing, Department of Nursing Esfarayen Faculty of Medical Sciences Esfarayen Iran.
Alireza BarzegarySchool of Medicine Islamic Azad University Tehran Iran.ORCID 0000-0002-0512-7014
Amirata FakhfouriSchool of Medicine Islamic Azad University Tehran Iran.
Esmaeil MehraeenDepartment of Health Information Technology Khalkhal University of Medical Sciences Khalkhal Iran.ORCID 0000-0003-4108-2973
SeyedAhmad SeyedAlinaghiIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors Tehran University of Medical Sciences Tehran Iran.ORCID 0000-0003-3210-7905
Omid DadrasSchool of Public Health Walailak University Thai Buri Nakhon Si Thammarat Thailand.ORCID 0000-0001-9385-2170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of new technologies such as the Internet of Things (IoT) in the management of chronic diseases, especially in the COVID pandemics, could be a life-saving appliance for public health practice. The purpose of the current study is to identify the applications and capability of IoT and digital health in the management of the COVID-19 pandemic. Methods: This systematic review was conducted by searching the online databases of PubMed, Scopus, and Web of Science using selected keywords to retrieve the relevant literature published until December 25th, 2021. The most relevant original English studies were included after initial screening based on the inclusion criteria. Results: Overall, 18 studies were included. Most of the studies reported benefits and positive responses in the form of patients' and healthcare providers' satisfaction and trust in the online systems. Many services were provided to the patients, including but not limited to training the patients on their conditions; monitoring vital signs and required actions when vital signs were altered; ensuring treatment adherence; monitoring and consulting the patients regarding diet, physical activity, and lifestyle. Conclusion: IoT is a new technology, which can help us improve health care services during the COVID-19 pandemic. It has a network of various sensors, obtaining data from patients. We have found several applications for this technology. Future studies can be conducted for the capability of other technologies in the management of chronic diseases.

Indexed as

chronic diseasesCOVID‐19IoTSensorTelehealth

Identifiers

PMID35308419
PMCPMC8919365

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.