key: cord-0898949-5sdhnse8
authors: Harding, Charles; Pompei, Marybeth; Burmistrov, Dmitriy; Pompei, Francesco
title: Overlooked Bias with Thermometer Evaluations Using Quickly Retaken Temperatures in EHR: Axillary, Oral, Temporal Artery, and Tympanic Thermometry
date: 2021-06-02
journal: J Gen Intern Med
DOI: 10.1007/s11606-021-06930-2
sha: a9371708ad0b2ab0e9221cf280659b2190c77a16
doc_id: 898949
cord_uid: 5sdhnse8

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Recently, Haimovich et al. 1 sought to inform COVID-19 screening practices by evaluating temporal artery (forehead) thermometers (TATs). They retrospectively searched electronic health records (EHR) for temperatures measured twice within 15 min, including once with a TAT. The TAT often disagreed with a reference measurement, so Haimovich Axillary, central, oral, temporal, and tympanic sites were studied. Each has strengths and weaknesses in terms of accuracy, safety, and convenience. 4 Central temperature was defined as pulmonary artery, urinary bladder, esophageal, rectal, or core (subtype unspecified). Pulmonary artery is the only true gold standard, 5 but is highly invasive and rarely taken (0.6% of temperatures), so all central temperatures were used as a reference standard instead. TATs were hospital-grade, skin-contacting thermometers, which have a markedly different performance from the non-contact thermometer guns common since COVID-19. 6 In EHR, thermometer site was recorded as text, which we categorized into thermometer site groups for entries appearing ≥10 times, amounting to 99.98% of entries.

We evaluated agreement between paired temperatures using Bland-Altman analyses. For measurements retaken repeatedly within 15 min, we included the first 2 temperatures only (n=160,130). Alternatively, one could average temperatures taken at the same site within 15 minutes, 1 but that would make values less noisy for sites retaken more frequently, biasing Bland-Altman results. Analyses were cluster bootstrapped by patient to address within-patient nonindependence (repli-cates=20,000). Re-running analyses with only 1 measurement pair per patient also produced similar results.

Patients whose temperatures were retaken within 15 min (n=24,765) had mostly similar characteristics to the overall patient population (n=99,858): 44.2% and 45.4% women, mean ages 65 and 64 years, 21.6% and 20.2% with diabetes, and 14.1% and 11.7% with admission diagnosis of sepsis. Paired temperatures (n=160,130) were 12.6% axillary, 45.4% central, 29.2% oral, 10.2% temporal, and 2.6% tympanic.

Every thermometer site had similar, very low agreement with reference temperatures (Fig. 1) . No site satisfied the ±0.9°F (±0.5°C) limits of agreement often used to define clinical acceptability. 5 When analyzing temperatures retaken at the same site, every site showed unprecedentedly low repeatability (Fig. 2) . Retaken central temperatures were often anomalously cold (9.9% <95°F and 4.2% <92°F).

In summary, quickly retaken temperatures have very low repeatability and agreement in EHR, to a degree unprecedented by previous, non-EHR research on thermometer performance. 4,5 Haimovich et al. 1 observed this for TATs and we observed that it was equally the case for oral, tympanic, and axillary thermometers too. Anomalously cold central temperatures were also common in both studies. 1 A natural explanation is that clinicians often retook temperatures for the same reason people often retake other measurements-because they suspect a measurement was done incorrectly. Common errors during temperature measurement include patient movement, accidental button presses, and insufficiently deep rectal or esophageal probes. This last error produces artificially cold temperatures, but correcting it discomforts patients, so clinicians sometimes try non-invasive thermometers instead.

This explanation means the retaken EHR temperatures likely include disproportionate numbers of errors. They are therefore invalid for evaluating usual thermometer The results show poor repeatability for all temperature sites, suggesting that a major reason for remeasurement may have been suspected clinician or patient error during a measurement. Additionally, measurements taken at central sites often reached low values that are physiologically rare, but common for measurement technique errors. As previously, data are from adult critical care patients, mean differences are shown in red, limits of agreement are shown in blue, and confidence intervals are 95%. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/.

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