Trial reportThe Journal of international medical research2021
Use of non-contact infrared thermometers in rehabilitation patients: a randomized controlled study.
Trial report in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Non-Contact Infrared Thermometers and Thermal Scanners for Human Body Temperature Monitoring: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Research progress in flap temperature monitoring technologies and applications after transplantation.APL bioengineering · 2026Review
- Approach to Low Body Temperature or Mild Hypothermia in the Geriatric Population: A Narrative Review.Journal of clinical medicine research · 2026Review
- A Sensor-Based Classification for Neuromotor Robot-Assisted Rehabilitation.Bioengineering (Basel, Switzerland) · 2025Review
- A Comparative Study of Forehead Temperature and Core Body Temperature under Varying Ambient Temperature Conditions.International journal of environmental research and public health · 2022Article
- Comparative Analysis of Human Body Temperatures Measured with Noncontact and Contact Thermometers.Healthcare (Basel, Switzerland) · 2022Article
- Reliability of Non-Contact Infrared Thermometers for Fever Screening Under COVID-19.Risk management and healthcare policy · 2022Article
- Regression model for predicting core body temperature in infrared thermal mass screening.IPEM-translationArticle
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn this randomized controlled study, we aimed to determine whether non-contact infrared thermometers (NCITs) are more time-efficient and create less patient distress than mercury axillary thermometers (MATs) and infrared tympanic thermometers (ITTs).
methodsForty-five rehabilitation inpatients were randomly assigned to one of three groups (NCIT, MAT, and ITT). Time required to measure body temperature with an NCIT, MAT, and ITT was recorded. We examined associations between time required to take patients' temperature and measuring device used. Patient distress experienced during temperature measurement using the three thermometers was recorded.
resultsA significantly longer average time was required to measure temperatures using the MAT (mean 43.17, standard deviation [SD] 8.39) than the ITT (mean 13.74, SD 1.63) and NCIT (mean 12.13, SD 1.18). The thermometer used influenced the time required to measure body temperature (t = 33.99). There were significant differences among groups (NCIT vs. ITT, NCIT vs. MAT, and ITT vs. MAT) regarding patient distress among the different thermometers. Most distress arose owing to needing help from others, sleep disruption, and boredom.
conclusionThe NCIT has clinically relevant advantages over the ITT and MAT in measuring body temperature among rehabilitation patients, including saving nurses' time and avoiding unnecessary patient distress.Clinical trial registration number (http://www.chictr.org.cn): ChiCTR1800019756.
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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.