Evidence map›Paper›PMID 39754088›Full record

ArticleBMC health services research2025

Navigating technostress: a deep dive into health practitioners' technological challenges in hospital settings.

Hamid Keshavarz, Hamid Reza Saeidnia, Ting Wang

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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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

3 authors.

Hamid KeshavarzDepartment of Information Science and Knowledge Studies, Faculty of Education and Psychology, Shahid Beheshti University, Tehran, Iran.
Hamid Reza SaeidniaDepartment of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran. hamidrezasaednia@gmail.com.
Ting WangSchool of Library and Information Management, Emporia State University, Emporia, KS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDespite the increasing integration of information technologies in healthcare settings, limited attention has been given to understanding technostress among health practitioners in hospitals. This study aims to assess the prevalence of technostress creators among health practitioners and explore potential factors contributing to its occurrence, with the ultimate goal of informing strategies to mitigate its impact.

methodData were collected through a validated questionnaire administered to health practitioners at Tehran Apadana Hospital in Iran. The questionnaire encompassed demographic information and technostress assessment items. Statistical analysis was conducted using SPSS software to examine the relationship between technostress levels and demographic characteristics.

findingsThe analysis revealed that approximately 41% of health practitioners experienced medium levels of technostress, with 36% reporting high levels and 23% reporting low levels (χ2F = 55.4; p < 0.001). Notably, technology uncertainty emerged as the primary driver of technostress, followed by techno-overload, techno-complexity, techno-insecurity, and techno-invasion. Surprisingly, no significant relationship was found between technostress levels and demographic characteristics.

conclusionThe study underscores the pressing need to address the prevalent medium to high levels of technostress among health practitioners in hospital environments. By shedding light on the key stressors and their distribution, these findings can inform human resources management strategies within healthcare systems to effectively support practitioners in navigating and managing technostress challenges.

Indexed as

HospitalsAdultCross-Sectional StudiesFemaleHealth PersonnelHumansIranMaleMiddle AgedSurveys and QuestionnairesHealthcare SystemsHealth practitionersHospitalsMental HealthTechnostress

Identifiers

PMID39754088
PMCPMC11699643

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.