ArticleBMJ open2018
Study protocol for a randomised controlled trial of humanoid robot-based distraction for venipuncture pain in children.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02997631 (A Randomized Controlled Trial of Humanoid Robot-Based Distraction for Venipuncture Pain), which is not on this map. Cited by 2 papers.
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.
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.
A Randomized Controlled Trial of Humanoid Robot-Based Distraction for Venipuncture Pain: The MEDi Study
Who cites it
2 citing papers in PubMed, 15 citations in OpenAlex.
- The Potential of a Robot Presence in Close Relationship to Influence Human Responses to Experimental Pain.Life (Basel, Switzerland) · 2025Article
- Effects of artificial intelligence aibo intervention on alleviating distress and fear in children.Child and adolescent psychiatry and mental health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIntravenous insertion (IVI) is a very common procedure in the emergency department (ED). IVI is often painful and stressful for both children and their families. Currently, distraction therapy is not used as a standard of care for IVI in North America. We propose that interaction with a humanoid robot may effectively distract children during IVI thereby reducing their pain and distress. METHODS AND ANALYSIS: This randomised controlled superiority trial will be conducted in a Canadian paediatric ED. We plan to recruit 80 patients. Children will be eligible if they (1) are 6 to 11 years of age, (2) need an IVI, (3) are fully conscious and alert, (4) have sufficient knowledge of the English language to understand and complete the study assessments and (5) are accompanied by a legal guardian. Our primary objective is to compare patient-reported pain and distress with the use of distraction (via a humanoid robot) versus standard care in children. The primary outcomes will be (1) self-reported pain, as measured by the Faces Pain Scale-Revised and (2) observed distress, as measured by the Observational Scale of Behavioural Distress-Revised. Secondary outcomes will include (1) measuring parental anxiety, (2) examining the association between parental anxiety and child outcomes and (3) children's degree of engagement with the humanoid robot via the Intrinsic Motivation Inventory tool. First enrolment occurred in April 2017 and is ongoing. ETHICS AND DISSEMINATION: This study has been approved by the Health Research Ethics Board (University of Alberta). Informed consent to participate will be obtained from all participants' parents/guardian, in conjunction with assent from the participant themselves. This study data will be submitted for publication regardless of results. Purchase of the robot was facilitated through a Stollery Children's Hospital Foundation donation. Recruitment costs are supported by the Women and Children's Health Research Institute. TRIAL REGISTRATION NUMBER: NCT02997631; Pre-results.
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Registered trials
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.