Evidence map›Paper›PMID 39849432›Full record

SynthesisBMC medical informatics and decision making2025

Determining the impact of mobile-based self-care applications on reducing anxiety in healthcare providers: a systematic review.

Mohammad Mahdi Askarizadeh, Leila Gholamhosseini, Reza Khajouei, Saeedeh Homayee, Fatemeh Askarizadeh, Leila Ahmadian

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

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

  1. Pooled it
  2. Review
  3. Review
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

6 authors.

Mohammad Mahdi AskarizadehCancer Epidemiology Research Center, Aja University of Medical Science, Tehran, Iran.
Leila GholamhosseiniTrauma and Surgery Research Center, Aja University of Medical Science, Tehran, Iran. gholamhosseini.l@ajaums.ac.ir.
Reza KhajoueiFakher Mechatronic Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Saeedeh HomayeeDepartment of Psychiatry, School of Medicine and Neuroscience Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Fatemeh AskarizadehDepartment of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Leila AhmadianFaculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.

Funding

Aja University of Medical Sciences 97002589
6 · The paper itself

Abstract

backgroundHealthcare providers (HCP) face various stressful conditions in hospitals that result in the development of anxiety disorders. However, due to heavy workloads, they often miss the opportunity for self-care. Any effort to diminish this problem improves the quality of Healthcare providers and enhances patient safety. various applications have been developed to empower Healthcare providers and reduce their anxiety, but these applications do not meet all their individual and professional needs. The objective of this study was to investigate the impact of mobile-based self-care applications on reducing anxiety in healthcare providers.

methodsIn this study, keywords such as anxiety, self-care, healthcare providers, and mobile health were used to search PubMed, Scopus, and Web of Science for papers published in the recent ten years (2014-2024). We used the PRISMA diagram to report the results. Ten out of 2515 retrieved articles that addressed the effect of mobile-based self-care applications on Healthcare providers' anxiety were included for analysis. Data were extracted using a data collection form designed based on the research objective. We used this form to collect data including the author's name, publication year, country, study type, intervention duration, study objectives, platform used, Modules presented in technologies, Methods of reducing anxiety, questionnaire details, and Effectiveness assessment. Data collected from the studies were analyzed by SPSS-21 using frequency and percentage.

resultsBased on the results, studies were conducted in nine different countries, and the intervention duration and strategies for reducing anxiety using self-care applications ranged from two weeks to four months. The impact of mobile health applications, their content, and intervention strategies on reducing anxiety were positive. The anxiety-reduction strategies were varied among applications. Anxiety reduction strategies in this study included mindfulness, cognitive-behavioral therapy, physical activities, breathing exercises, dietary regimes, and nature exploration through virtual reality. Cognitive-behavioral therapy and mindfulness constituted the most frequently applied reduction techniques across the studies to reduce anxiety in Healthcare providers.Furthermore, the findings revealed the effectiveness of interventions in reducing other mental disorders such as anxiety, stress, depression, drug abuse, and psychotropic drug use of Healthcare providers.

conclusionThe use of mobile health applications with practical strategies is effective in reducing anxiety and can also reduce other anxiety disorders in Healthcare professional.

Indexed as

AnxietyHealth PersonnelMobile ApplicationsSelf CareHumansTelemedicineAnxietyHealthcare providersMobile-based self-care applicationsSelf-care

Identifiers

PMID39849432
PMCPMC11760082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.