ReviewDigital health
The impact of patient communication software app on facilitating communication with mechanically ventilated patients: A randomized clinical trial.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Mechanically ventilated patients' Experiences of communication using eye-tracking technology: A qualitative descriptive study.International journal of nursing studies advances · 2026Article
- Enhancing patient satisfaction in COVID-19 wards: a randomized controlled trial on the impact of supportive educational programs in Najaf hospitals.Frontiers in psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background & Aim: The use of mechanical ventilation devices as a supportive respiratory system for hospitalized patients in intensive care units is often accompanied by the inability of alert patients to establish verbal communication. This study aims to determine the impact of patient communication software on facilitating communication for mechanically ventilated patients in the intensive care unit. Methodology: This clinical trial was conducted with two groups, each comprising 60 alert, mechanically ventilated patients hospitalized in medical universities in Mashhad, from December 2022 to January 2023. Patients were randomly assigned to the intervention and control groups. In the intervention group, communication with the patient was established using specially designed software, while in the control group, conventional methods were used to identify patient needs. Data collection tools included a demographic questionnaire and the Ease of Communication Scale. SPSS software (version 20) was utilized for data analysis, employing chi-square, independent t-test, Mann-Whitney, Wilcoxon and paired t-tests. Cohen's Results: The composition of the groups, including gender and marital status, was comparable, as was their baseline demographic and clinical characteristics (age, gender, education level, marital status, underlying diseases, airway type, hospital stay length, sedative medication, and mechanical ventilation duration), with no significant differences found ( Conclusion: Software designed to assist communication for patients on mechanical ventilation with artificial airways could enhance their ability to communicate their needs more effectively, offering an alternative to methods such as lip-reading, writing, alphabet boards and communication boards.
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Registered trials
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