Body temperature is a measure of the body’s ability to generate and get rid of heat. The normal physiology is to keep body temperature within a narrow safe range in spite of large variations in environmental temperatures [
Febrile illness is defined as a disease characterized by an increase of body temperature more than 37.5°C resulting from infectious process. Febrile illnesses (FIs) due to different etiologic agents are the most common causes of morbidity and mortality in developing tropical and subtropical countries [
Many of the infectious diseases assessed, classified, and treated using the Integrated Management of Childhood Illnesses (IMCI) guidelines have fever as a secondary cause. For example, many children with upper respiratory tract infection, pneumonia, or ear infection will have fever. Severe illnesses associated with danger signs are also associated with fever, such as sepsis septicemia and meningitis. The danger signs lead to appropriate referral for the illness. Fever is also associated with malaria, dysentery, and diarrhea in children. In these patients, the cause of the fever is treated and fever is not used in decision making. While these conditions all cause fever, the management of the condition itself results in the management of the fever [
A thermometer is a device that measures temperature or temperature gradient, using a variety of principles. For recording body temperature, several different types of thermometers are used, such as mercury thermometers, digital thermometer, liquid crystal forehead thermometer, and infrared tympanic thermometer [
Digital and glass mercury thermometer.
Body temperature in children can be measured at a number of anatomical sites using a range of different types of thermometers, including mouth, rectum, and axilla [
Evaluation of body temperature is one of the oldest known diagnostic methods and is still an important sign of health and disease, both in everyday life and in medical care. The individual can describe feelings of illness and discomfort, but in conditions where individuals are unable to explain themselves, for example, children, the nurse has to interpret the clinical signs and rely on objective measurements [
As the basic sciences develop, temperature measurement methods and devices were improved. For hundreds of years, both in clinics and in home, GMT was the standard of human temperature measurements [
Although accuracy of axillary temperature measurement is affected by a number of factors, including ambient temperature, local blood flows, inappropriate placing of the probe, closure of the axillary cavity, and device dwell time, device type is common which can led to false high readings which may lead to expensive and painful diagnostic studies and medical interventions or false low readings which may lead to greater morbidity and mortality. So, temperature measurement must be accurate and consistent, as decisions about therapeutic intervention are based on it [
The accuracy of devices to record and grade temperature is uncertain [
Temperature taking is the most frequently performed clinical observation and is predominantly a nursing task. Although the use of digital thermometer is gradually increasing, GMT is still the most common device used in the pediatric setting, especially in developing countries [
Current nursing studies on temperature measurement are conducted to understand the efficacy of the various types of equipment available to measure temperature [
The false low and false high result related to accuracy of thermometer device and dwelling time may lead to misdiagnosis and treatment. If DTs are to become the standard device used in the clinical setting, they must be subjected to rigorous investigations to increase the knowledge of practitioner and thereby improve practice.
Febrile illnesses are the most common leading cause of morbidity and mortality in under-5 children which needs accurate measurement of body temperature. Ethiopia is one of the developing countries which use both GMT and DT in measuring body temperature with the uncertainty of the device and dwelling time in their capability of detecting hyperthermia and hypothermia. So, it is important to know the standard time and accurate device to measure body temperature.
This study fills the gaps among health professionals and has some input on nursing body of knowledge. It will have contribution for decision makers and significant others to take possible measure on temperature measurement device. It may decrease misdiagnosis of febrile illness in under-5 children related to inaccuracy of body temperature measurement due to devices type. This study will also be used as a base line data for further research on comparison of temperature measuring devices related topics. It is designed to investigate whether DT is suitable alternative to GMT in children.
Can digital thermometer be used as alternative device with old standard GMT in axillary site in under-5 children with febrile illness?
Compare body temperature between 10 min glass mercury and digital thermometers among under-5 children with febrile illness at axillary site in Axum Saint Mary Hospital.
The study was carried out in Axum, city of northern
St. Marry Hospital is one of the referral hospitals in the zone in which FI is prevalent. At the time of my clinical experience, nurses working in the hospital and clinical students was debated regarding the devices even the controversy was as national. Since accurate diagnoses of FI were needed hospital were best than health center. This was why the study focused on this area. Similarly as the generalizability was to the devices, study area may not have effect.
The Study was conducted from November/2013 to May/2014. The data was collected from 21–29/4/2014 G.C.
Comparative descriptive study design was used to compare body temperature between GMT and digital thermometer among under-5 children with FI at axillary site in Axum St. Marry Hospital.
The source population was all under-5 age children with FI visiting Axum St. Marry Hospital for healthcare service.
The study population was under-5 children with FI visiting Axum St. Marry Hospital for healthcare service, particularly in under-5 OPD.
Inclusion criteria were children under 5 years of age with FI visiting Axum St. Mary Hospital particularly under-5 OPD at the time of data collection
Patients with local infection in axilla, lethargy, or unconscious were excluded. Irritable subjects were also excluded.
A total of 96 samples were calculated using the mean difference of 10 min GMT and DT (0.27) and SD 0.54 and 0.42 (pooled SD = 0.484) at alpha of 0.01 with detection capability (power) of 90% (beta 0.1) and taking 1 as ratio of exposed to nonexposed using open Epi statistical software. 5% of 96 were added so the total of 101 study subjects were taken. But 3 were discarded in the analysis because of incompleteness and being unreadable. Manually, the study was also calculated using the following formula:
A convenient sampling technique was used as the study has no frame. Since axillary movement exposes the mercury thermometer to the environment, which was easily affected by environmental temperature, children who were irritable were purposely excluded from the study. All under-5 children with FI visiting under-5 OPD of St. Marry Hospital fulfilling the inclusion criteria were taken until the sample size reaches 101.
Study participants were under 5 years of age and body temperature was not increased or decreased intentionally.
GMT and DT were on right and left axillaries, respectively, which are selected by lottery method for the first study subject. After that, GMT and DT were exchanged with consecutive study subjects for right and left axillaries. For details, see Figure
Diagrammatic presentation of comparison of body temperature among under-5 children.
The study continuously collected primary data through data collection tool which was developed after review of literatures and consultation of experts in nursing (Professor Asrat, Dr. Amsal, and Professor Brhane). For content validity, the tool was reviewed. The tool included Part I: demographic preforma and Part II: recording temperature result and observation checklist. The demographic performa was filled before starting the procedures.
All data collectors (B.S. nurses) were screened for test of visual acuity in both eyes 6/6 and trained thoroughly with close supervision for 4 days in correct positioning, calibration, reading of thermometers, and documentation based on WHO guideline of taking axillary temperature. All the temperatures were measured on Celsius (°C) scale and timed with the same stop clock except for digital which have beep sound.
The validity and reliability of GMT and DT were cheeked in ICU adult who are measured by core temperature measurement prior to data collection. By marking the least valid GMT and DT, all thermometers were left for 5 min in water bath three times. Of these, the four thermometers gave the same value. Of the 5 GMT and DT, 3 GMT and 3 DT were used. 2 GMT and DT were excluded. The comparisons were done for the same devices only.
This study was performing measurements following manufacturer information for each of the thermometry instruments as described in the instruments and measurements section.
The dependent variables were accuracy of body temperature result.
For body temperature, degree Celsius scale of measurement was used in both GMT and DT. For time in GMT, minute was scale of measurement, whereas beep sound was used in DT.
First, the data were entered and coded to Epi info version 3.5.4 and exported to SPSS version 21 of Window 7 for analyses. Descriptive statistics was used to describe participants’ demographic characteristics and temperature result (hypothermia, normal, pyrexia, and hyperpyrexia) by percentage, mean, standard deviation, and range. Correlation was determined by Pearson correlation coefficient (to determine the strength of the correlation) while the extent of agreement was assessed with Bland-Altman plot. To determine statistically significant difference, a paired
Examination of visual acuity was given for data collectors. Similarly, training for data collectors was given. Content validity was checked by experts. Pretest was conducted on 10 children in under-5 OPD of Axum health center. After this pretest, some modifications were incorporated. Close supervision during data collection procedures and proper recordings were also taken. Immediate checkup was carried out and any unfulfilled data was filled immediately.
Institution Review Board (IRB) of Addis Ababa University, College of Health Science, School of Allied Health Sciences, Department of Nursing and Midwifery, reviewed the protocol to insure full protection of the rights of study subjects. Following the approval by IRB, official letter of cooperation was written to Axum St. Marry Hospital from the Department of Nursing and Midwifery of AAU. After getting permission from Axum St. Marry Hospital, data collectors informed parents verbally and at least one parent was present during the data collection. Data was treated confidentially and subject were identified by number only. Since it is axillary, it is safe and measurements were taken at OPD during assessment. It took 15 min to take all measurements for one study subject. So, it has no treatment and investigation delay. As the sampling is convenience, irritable subjects were not also forced. Risk of skin irritation was informed with informed consent. Any breakage of GMT was disposed to be appropriate as it is environmental hazard. Probe was cleaned according to service manual instructions (Welch Allyn, Inc.) prior to use for individual study subject as this prevents risk of infection.
A total one hundred and one study subjects were included in the study, but ninety-eight (97%) of them were analyzed. three were excluded because of their incompleteness and being unreadable. Sixty-six (67.3%) were collected in the morning. Fifty-three (54.1%) were female. Thirty-four (34.7%) of the children aged from 1 to 3 years. Ninety (91.8%) and 96 (98%) were not taking antipyretic and bath 30 min prior to temperature measurements, respectively. For further details, see Table
Sociodemographic characteristics of under-5 children with febrile illnesses in under-5 OPD.
S. number | Variables | Frequency ( |
Percentage (%) | |
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1 | Age | 0–28 days | 4 | 4.1 |
29 days–1 years | 30 | 30.6 | ||
1–3 years | 34 | 34.7 | ||
3–5 years | 30 | 30.6 | ||
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2 | Sex | Male | 45 | 45.9 |
Female | 53 | 54.1 | ||
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3 | Religion | Orthodox | 90 | 91.8 |
Muslim | 8 | 8.2 | ||
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4 | Care giver | Mother | 86 | 87.8 |
Father | 7 | 7.1 | ||
Sister/brother | 2 | 2 | ||
Care servant | 3 | 3.1 | ||
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5 | Data collection time | Morning | 66 | 67.3 |
Afternoon | 32 | 32.7 | ||
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6 | Taking antipyretic within 30 min | Yes | 8 | 8.2 |
No | 90 | 91.8 | ||
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7 | Taking bath within 30 min | Yes | 2 | 2 |
No | 96 | 98 |
Most of the under-5 children in the study were diagnosed with pneumonia which accounts for 35 (35.7%). For further details, see Figure
Diagnosis of under-5 children with febrile illnesses in under-5 OPD.
In this study, one reading was for 10 min glass mercury thermometer and digital thermometer for each study subject. The procedure was carried out for 98 subjects. This resulted in 98 temperature readings for each 10 min GMT and digital thermometer. The mean temperature of 10 min GMT and digital was 37.30 ± 0.78. See Table
Mean, SD, and range of temperature results of 10 min glass mercury and digital thermometers.
Thermometers | Observation | Mean ± SD | Median | Range | Minimum | Maximum |
---|---|---|---|---|---|---|
10 min mercury | 98 | 37.43 ± 0.77 | 37.4 | 3.7 | 35.9 | 39.6 |
Digital | 98 | 37.30 ± 0.78 | 37.3 | 3.6 | 35.8 | 39.4 |
The maximum and minimum difference of 10 min mercury and DT was 0.4°C and 0.1°C, respectively. But 19 have no difference.
Only 13 (13.3%) of the 98 paired measurements of each 10 min GMT and DT had temperature difference greater than 0.2°C, respectively. For further details, see Table
Frequency of the difference of temperature in °C between 10 min glass mercury and digital thermometers.
Comparisons | Difference of temperature in °C | Frequency of difference |
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10 min mercury and digital thermometers | No | 19 (19.4) |
0.1 | 38 (38.8) | |
0.2 |
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>0.2 |
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The bold and “
44 outof 98 measurments were resulted in normal temperature by GMT and DT. For further details, see Table
Frequency of grading fever by thermometers.
Thermometers | Frequency (percentage) of grading of fever | |||
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Hypothermia | Normal | Pyrexia | Hyperpyrexia | |
10 min mercury | 8 (8.2) | 44 (44.9) | 46 (46.9) | 0 (0) |
Digital | 13 (13.3) | 44 (44.9) | 41 (41.8) | 0 (0) |
Hypothermia (<36.5°C); normal (36.5–37.5°C); pyrexia (37.5–40°C); hyperpyrexia (40°C and above).
The mean difference of 10 min GMT and DT was 0.12857 ± 0.10745.
10 min GMT has strong positive correlation with DT. The Pearson correlation (
Correlation between 10 minute glass mercury and digital thermometers.
Thermometers | 10 min GMT | DT |
---|---|---|
10 min GMT | 1 | |
DT | 0.99 | 1 |
Correlation of 10 min glass-mercury and digital thermometers.
Statistically significant mean differences were noted in comparisons of temperatures of 10 min GMT with DT (
Mean differences between comparison groups.
Comparison groups | Mean difference ± SD |
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99% CI of the mean difference | |
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Lower | Upper | ||||
10 min GMT and DT | 0.13 ± 0.11 | 11.85 |
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0.10 | 0.16 |
Mean differences of 10 min GMT and DT in relation to sociodemographic and other factors were done. But no clinically significant mean difference was observed (Table
Comparison groups in relation to sociodemographic and other variables.
SN | Sociodemographic and other variables | Observation | 10 min GMT and digital | |
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MD ± SD |
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1 |
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0–28 days | 4 | 0.10 ± 0.16 | 0.31 | |
29 days–1 year | 30 | 0.14 ± 0.10 |
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1–3 years | 34 | 0.13 ± 0.11 |
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3–5 years | 30 | 0.13 ± 0.10 |
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2 |
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Morning | 67 | 0.12 ± 0.11 |
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Afternoon | 31 | 0.14 ± 10 |
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3 |
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Yes | 8 | 0.16 ± 0.12 |
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No | 90 | 0.13 ± 0.10 |
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4 |
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Rt GMT and Lt DT | 49 | 0.13 ± 0.10 |
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Lt GMT and Rt DT | 49 | 0.12 ± 10 |
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In order to determine the concordance between GMT and DT, the Bland-Altman method of analysis was used.
Figure
Bland-Altman plot of 10 min glass mercury and digital thermometers.
The horizontal line in the middle indicates the mean difference of two measurements, and two additional lines indicate
Figure
10 min GMT and DT was agreed on in 88 of 98 measurements (For further details, see Table
Agreement of 10 min glass mercury with digital thermometers in specific range of temperature.
Digital thermometers | ||||
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10 min GMT | Temperature results in °C | |||
<36.5 | 36.5–37.5 | ≥37.5 | ||
Temperature results in °C | <36.5 |
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0 | |
36.5–37.5 | 5 |
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0 | |
≥37.5 | 0 | 5 |
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Due concerns about the breakages and environmental hazards of digital thermometers have evolved with the hope of replacing the glass mercury thermometer. The importance of the speed of application and the ease of use of DT is important in busy clinical area, but accuracy must be a primary concern.
The present study was conducted to find the concordance of the digital thermometer with the glass mercury thermometer with the hypothesis that there are statistical significant mean differences in temperature result between 10 min GMT and DT.
The participant characteristics of this study were under-5 children who had febrile illness unlike the study conducted in Turkey (healthy infants and healthy young students aged from 18 to 24), India (health neonates), and Malaysia (all age group with illness) [
The mean difference of 10 min GMT and DT in this study showed a statistical significance (
But from the point of clinical importance, the mean difference (0.13) of 10 min and DT of this study was not of clinical significance. 99% of the mean differences were between 0.10 and 0.16, which are not clinically significant. The correlation also showed strong positive correlation (
The variation of temperature between 10 min GMT and DT was not homogeneous (consistent). Furthermore, the mean difference observed between 10 min GMT and DT was not clinically significant, so no compensation for the differences was needed.
But one study found that GMT and DT were clinically and statistically significant with mean difference of 0.278 and
Even though a statistical significance (
Statistically, the alternative hypothesis was not rejected. But this statistical significance cannot prejudice the alternative approach of DT because the clinical insignificances observed were most important (the primary concern).
Generally, the strong correlations, good agreements, and clinical insignificances observed make DT good alternative to the traditional GMT. Similarly, some important disadvantages of GMT, such as danger of breakage, potential harm and toxic vapor effects, difficulties in reading the values on the device, possible role in spread of hospital acquired infection, and long dwelling time, and advantage of DT, such as rapid result delivery, improved patient comfort, being an easy and noninvasive procedure, also support this alternative approach. Therefore, health professionals should use DT for measuring body temperature in under-5 febrile illnesses as it has no clinical significance difference with GMT and has some advantages over GMT (being easy to read, having fast result, and being environmentally friendly) [ researchers should further study the instruments in neonates as clinical significance is different from the present study and the age groups were few. Similarly, the sensitivity may differ from other since their skin integrity is different. Likewise, their concordance in detecting hypothermia should be investigated since the sensitivity may differ; Moreover, researchers should repeat the study by using core temperature as the gold standard for comparison since comparison of DT with GMT may have additive effect of deviation from core temperature; FMHACA should focus on DT rather than GMT as it has no clinical significance difference with GMT and have some advantages over GMT (being easy to read, having fast result, and being environmentally friendly) [
The authors declare that there is no conflict of interests regarding the publication of this paper.
The authors are very grateful and would like to extend their heartfelt thanks and appreciation to the study participants and data collectors for their full participation and for supporting data collection. Finally, they would like to acknowledge Addis Ababa University, College of Health Sciences, School of Allied Health Sciences, Department of Nursing and Midwifery, for giving them this great opportunity.