Evidence map›Paper›PMID 39375711›Full record

ArticleBMC nursing2024

Are nurses and patients willing to work with service robots in healthcare? A mixed-methods study.

Heba Emad El-Gazar, Shymaa Abdelhafez, Amira Mohammed Ali, Mona Shawer, Talal Ali F Alharbi, Mohamed Ali Zoromba

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Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

6 authors.

Heba Emad El-GazarNursing Administration Department, Faculty of Nursing, Port-Said University, Port-Said, Egypt. heba.emad@nur.psu.edu.eg.ORCID https://orcid.org/0000-0002-0185-859X
Shymaa AbdelhafezNursing Administration Department, Faculty of Nursing, Port-Said University, Port-Said, Egypt.
Amira Mohammed AliDepartment of Psychiatric Nursing and Mental Health, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
Mona ShawerNursing Education and Advanced Practice Lead, King's College Hospital London-Jeddah, Jeddah, Saudi Arabia.
Talal Ali F AlharbiDepartment of Psychiatric, Mental Health and Community Health, College of Nursing , Qassim University, Buraydah, Saudi Arabia.
Mohamed Ali ZorombaCollege of Nursing, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionScholars have become increasingly interested in incorporating robots into healthcare. While there is a growing body of research examining nurses' and patients' attitudes towards using robots in healthcare, no prior research has specifically explored their willingness to integrate service robots within the Egyptian healthcare context.

aimThe aim of this study was twofold: (a) to explore the behavioral intentions of nurses to accept robots in their workplace, and (b) to examine the willingness of patients to use service robots in healthcare settings.

methodsA mixed-methods study was conducted. Quantitative data were collected from 301 nurses using the Behavioral Intention to Accept Robots in the Workplace Scale and from 467 patients using the Service Robot Integration Willingness Scale through convenience sampling at three tertiary public hospitals in Port Said, Egypt. Qualitative data were obtained through in-depth, semi-structured interviews with 16 nurses, focusing on their perspectives and concerns regarding robot integration. Descriptive analyses were used to analyze quantitative data, and thematic analysis was used to analyze qualitative data.

resultsQuantitative results indicated a moderate level of behavioral intention to use robots among nurses. Patients demonstrated low willingness to use service robots. In the qualitative analysis of the data obtained from the interviews with nurses, three categories (Concerns about Robots, Roles and Competencies, and Potential Benefits) and eight themes (interaction and emotions, maintenance and reliability, job insecurity, role clarity, competence in critical care, trustworthiness, reducing physical strain, and specialized applications) were identified.

conclusionThe results of this study indicate that nurses' behavioral intention to accept service robots in healthcare settings is moderate and their acceptance is influenced by various factors related to their concerns about robots, roles and competencies, and potential benefits they could gain. Patients showed a low level of willingness to use service robots in healthcare settings. IMPLICATION: Providing targeted educational programs to nurses and patients, assuring them with the provision of robust maintenance protocols, enhancing their confidence in the capabilities of robots, and defining clear roles for robots are crucial for the successful integration of robots into healthcare settings.

Indexed as

Healthcare service robotsMixed-methods studyNurses’ behavioral intentions to accept robotsPatient willingness to use robots

Identifiers

PMID39375711
PMCPMC11460052

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LicenceCC BY
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Registered trials

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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.