Evidence map›Paper›PMID 39966874›Full record

ArticleBMC health services research2025

Impact of digital health technologies adoption on healthcare workers' performance and workload: perspective with DOI and TOE models.

Abdulkadir Jeilani, Abdinur Hussein

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 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Abdulkadir JeilaniFaculty of Computer Science & IT, Mogadishu University, Mogadishu, Somalia. a.jeilani@mu.edu.so.
Abdinur HusseinFaculty of Medicine and Surgery, Benadir University, Mogadishu, Somalia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health technologies (DHT) have become an integral component of modern healthcare systems, offering the potential to improve healthcare delivery and outcomes. Guided by the Technology-Organization-Environment (TOE) framework, this study examines the impact of DHT adoption on healthcare workers' performance and workload in public and private hospitals in Mogadishu, Somalia.

methodA stratified random sampling approach was used to collect data from 286 healthcare workers in public and private hospitals. Data were analyzed using Structural Equation Modeling (SEM) to test hypotheses and assess direct and mediating relationships among variables.

resultsThe analysis revealed that DHT significantly improves healthcare workers' performance and workload respectively (β = 0.452, C.R. = 10.150, p < 0.001) and (β = 0.594, C.R. = 9.972, p < 0.001), organizational and environmental factors are positively impacting on healthcare workers' performance (β = 0.327, C.R. = 8.709, p < 0.001) and (β = 0.102, C.R. = 2.872, p = 0.004). Healthcare workers' performance significantly reduces workload (β = 0.594, C.R. = 9.972, p < 0.001) and the mediating role of healthcare workers' performance between DHT and workload were also confirmed (β = 0.281, C.R. = 5.9787, p < 0.001).

conclusionThe findings underscore the critical role of DHT in enhancing healthcare workers' performance and reducing workload, with the TOE framework and performance acting as significant mediators. These results provide actionable insights for healthcare administrators and policymakers to optimize DHT implementation, support workforce efficiency, and address workload challenges through strategic organizational and environmental adaptations.

Indexed as

Digital TechnologyHealth PersonnelWorkloadAdultDigital HealthFemaleHospitals, PublicHumansMaleMiddle AgedDiffusion of innovationDigital health technology (DHT)Healthcare workers’ performance and workloadTechnology-organization-environment (TOE)

Identifiers

PMID39966874
PMCPMC11837663

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.