Evidence map›Paper›PMID 39659401›Full record

ReviewDigital health

The impact of patient communication software app on facilitating communication with mechanically ventilated patients: A randomized clinical trial.

Zahra Poursadeghi, Kheizaran Miri, Fatemeh Hajiabadi, Seyyed Reza Mazloum, Javad Malekzadeh, Fereshteh Niazi

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Zahra PoursadeghiStudent in Critical Care Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Kheizaran MiriDepartment of Nursing, School of Nursing and Midwifery, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
Fatemeh HajiabadiNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0009-0006-2965-7630
Seyyed Reza MazloumNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Javad MalekzadehNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Fereshteh NiaziStudent Research Committee, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

clinical trialscommunicationIntensive care unitmechanically ventilated patientspatient communication softwarerandomized clinical trial

Identifiers

PMID39659401
PMCPMC11629424

What OpenQuestion holds

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LicenceCC BY-NC
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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.