# Is There Significant Difference between Digital and Glass Mercury Thermometer?

Authors: Hadgu Gerensea; Rajalakshmi Murugan
Journal: Advances in Nursing
 (2016)

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## Abstract

Background. Children’s decisions concerning investigation and treatment may be based on the results of temperature alone. Although the accuracy of axillary temperature measurement is affected by a number of factors, device dwell time and device type are common.Objective. Compare body temperature between glass mercury thermometer (GMT) and digital thermometer (DT).Method. Comparative descriptive study was used. A total of 101 samples were taken with convenient sampling technique, but 98 were analyzed. Statistical significance (p<0.01) and clinical significance (MD≥0.2°C) were used in the analyses. Correlations and Bland-Altman plots were used to observe agreements of the recording.Results. Mean difference (MD) of 10 min GMT and DT was 0.13±0.11. Statistically significant differences were noted in 10 min GMT and DT (p<0.00). But the correlations were strong positive (r>0.75) and all MD were at the limit of agreement in Bland-Altman plot. Clinically, it is not significant (MD<0.2°C).Conclusion and Recommendations. Even though statistical significant differences (p<0.001) were noted between 10 min GMT and DT, the strong correlation, good agreements, and clinical insignificances make DT good alternative to the traditional GMT. Their variation in temperature is not likely to change any clinical decision. So, health professionals should use DT for measuring body temperature in under-5 febrile illnesses.


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## Body

## 1. Introduction

### 1.1. Background and Statement of the Problem

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 [1]. Maintenance of body temperature occurs through the integration of multiple body systems that interact to maintain a balance between heat loss and generation. Normal body temperature is around 37°C (98.6°F) but varies during the day. The lowest body temperature occurs in early morning hours (2 am to 4 am) and the highest temperature occurs in the late afternoon. Body temperature may also increase as a result of overdressing or strenuous exercise, especially in hot weather [2].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 [3].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 [4].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 [1]. Observe glass mercury and digital thermometers in Figure 1.Figure 1
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 [5]. Ideally, measurement should be reliable, noninvasive, nontraumatic, culturally acceptable, user friendly, and hygienic. Since rectal temperature measurements are relatively more time-consuming, invasive, uncomfortable, less hygienic, and unacceptable in many cultures, and oral temperature is unhygienic and difficult in children, axillaries measurements have been the method of choice in many countries [6–8].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 [9]. Change in body temperature is one of the most important physical sign and symptom in both acute febrile illness and chronic illnesses in children. This is especially important in newborns, in which fever can be indicative of infection. It was shown that temperature out of the normal range is closely related to the survival of infants [6, 7, 10, 11]. Many decisions concerning the investigation and treatment of children may be based on the results of temperature measurement alone [12, 13].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 [14] and currently developing countries are using it commonly [15] though it is no longer recommended [11, 13, 16–19]. DTs are widely used by healthcare professionals as an alternative to GMT as they are faster and easier to read and avoid the environmental concerns of mercury [5, 19].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 [9, 20–24].The accuracy of devices to record and grade temperature is uncertain [1]. Limited researches have addressed whether the thermometer correctly identifies patients with hyperthermia or hypothermia. In general, these studies indicate that noninvasive temperature measurements are accurate in ruling out hyperthermia and hypothermia, but they may fail to detect hyperthermia and hypothermia, depending on the thermometer used. In particular, there is controversy in alternative approach of digital to mercury thermometers regarding accuracy and sensitivity [25]. So, this study may address the gap among health professionals.


### 1.2. Rationale and Significance of the Study

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 [15] in spite of having long dwelling time, danger of breakage, potential harm and toxic vapor effects; difficulties in reading, and possible role in spread of hospital acquired infections [11, 13, 16–19, 26].Current nursing studies on temperature measurement are conducted to understand the efficacy of the various types of equipment available to measure temperature [27–29], but they are insufficient and contradictory [30]. In particular, there is debate between GMT and DT regarding their accuracy in measuring true body temperature and their ability to detect fever and hypothermia. Researches on those devices are scarce besides the manufacturer’s data sheets. Even the little documented studies have large discrepancy and health professionals are in debate. Due to inconsistencies in both research methods and clinical practice [31, 32], nurses are challenging in selecting the measurement method that is most appropriate for a patient and provides the most accurate and precise approximation of core temperature [33].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.


### 1.3. Research Questions

Can digital thermometer be used as alternative device with old standard GMT in axillary site in under-5 children with febrile illness?


## 1.1. Background and Statement of the Problem

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 [1]. Maintenance of body temperature occurs through the integration of multiple body systems that interact to maintain a balance between heat loss and generation. Normal body temperature is around 37°C (98.6°F) but varies during the day. The lowest body temperature occurs in early morning hours (2 am to 4 am) and the highest temperature occurs in the late afternoon. Body temperature may also increase as a result of overdressing or strenuous exercise, especially in hot weather [2].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 [3].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 [4].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 [1]. Observe glass mercury and digital thermometers in Figure 1.Figure 1
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 [5]. Ideally, measurement should be reliable, noninvasive, nontraumatic, culturally acceptable, user friendly, and hygienic. Since rectal temperature measurements are relatively more time-consuming, invasive, uncomfortable, less hygienic, and unacceptable in many cultures, and oral temperature is unhygienic and difficult in children, axillaries measurements have been the method of choice in many countries [6–8].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 [9]. Change in body temperature is one of the most important physical sign and symptom in both acute febrile illness and chronic illnesses in children. This is especially important in newborns, in which fever can be indicative of infection. It was shown that temperature out of the normal range is closely related to the survival of infants [6, 7, 10, 11]. Many decisions concerning the investigation and treatment of children may be based on the results of temperature measurement alone [12, 13].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 [14] and currently developing countries are using it commonly [15] though it is no longer recommended [11, 13, 16–19]. DTs are widely used by healthcare professionals as an alternative to GMT as they are faster and easier to read and avoid the environmental concerns of mercury [5, 19].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 [9, 20–24].The accuracy of devices to record and grade temperature is uncertain [1]. Limited researches have addressed whether the thermometer correctly identifies patients with hyperthermia or hypothermia. In general, these studies indicate that noninvasive temperature measurements are accurate in ruling out hyperthermia and hypothermia, but they may fail to detect hyperthermia and hypothermia, depending on the thermometer used. In particular, there is controversy in alternative approach of digital to mercury thermometers regarding accuracy and sensitivity [25]. So, this study may address the gap among health professionals.


## 1.2. Rationale and Significance of the Study

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 [15] in spite of having long dwelling time, danger of breakage, potential harm and toxic vapor effects; difficulties in reading, and possible role in spread of hospital acquired infections [11, 13, 16–19, 26].Current nursing studies on temperature measurement are conducted to understand the efficacy of the various types of equipment available to measure temperature [27–29], but they are insufficient and contradictory [30]. In particular, there is debate between GMT and DT regarding their accuracy in measuring true body temperature and their ability to detect fever and hypothermia. Researches on those devices are scarce besides the manufacturer’s data sheets. Even the little documented studies have large discrepancy and health professionals are in debate. Due to inconsistencies in both research methods and clinical practice [31, 32], nurses are challenging in selecting the measurement method that is most appropriate for a patient and provides the most accurate and precise approximation of core temperature [33].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.


## 1.3. Research Questions

Can digital thermometer be used as alternative device with old standard GMT in axillary site in under-5 children with febrile illness?


## 2. Objectives

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.


## 3. Methodology

### 3.1. Study Area

The study was carried out in Axum, city of northernEthiopia, 1024 Km north of Addis Ababa and 241 Km far from Mekelle which is the capital city of Tigray region, located in theCentral Zone ofTigray Region near the base of theAdwa mountains and surrounded byLa’ilay Maychew woreda. Axum was the original capital of thekingdom of Axum andone of the oldest continuously inhabited places in Africa. Saint Marry Hospital is one of the 13 governmental hospitals found in Tigray region which serve medical care for Axum’s population and nearby. In Tigray region 16.9% of the population is under-5 years and Axum town have around 7,490 numbers of children less than five years according to city administration report in 2012 [34].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.


### 3.2. Study Period

The Study was conducted from November/2013 to May/2014. The data was collected from 21–29/4/2014 G.C.


### 3.3. Study Design

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.


### 3.4. Source and Study Population

#### 3.4.1. Source Population

The source population was all under-5 age children with FI visiting Axum St. Marry Hospital for healthcare service.


#### 3.4.2. Study Population

The study population was under-5 children with FI visiting Axum St. Marry Hospital for healthcare service, particularly in under-5 OPD.


### 3.5. Inclusion and Exclusion Criteria

#### 3.5.1. Inclusion Criteria

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


#### 3.5.2. Exclusion Criteria

Patients with local infection in axilla, lethargy, or unconscious were excluded. Irritable subjects were also excluded.


### 3.6. Sample Size Determination

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:(1)N=r+1Zα/2+Z1-β2σ2rd2,N=1±12.58±1.282∗.483721∗.272=2∗14.9∗0.2341∗.073=6.9720.073=95.5~96+5%of96=101,where “r” was the ratio of control to experimental which is 1 : 1 so r=1, “δ” is the pooled SD: 0.4837, d is the mean difference, 0.27, and N is the sample for each group. “Z1-β” was normally deviated at 90%: 1.28, and “Zα/2” was for 1% which is 2.58.


### 3.7. Sampling Procedures

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.


### 3.8. Clinical Study Procedures

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 Figure2.Figure 2
Diagrammatic presentation of comparison of body temperature among under-5 children.


### 3.9. Data Collection Procedures (Instrument, Personnel, and Data Quality Control)

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.


### 3.10. Variables

#### 3.10.1. Dependent Variables

The dependent variables were accuracy of body temperature result.


#### 3.10.2. Independent Variables

Temperature Variation Variables. Device type (GMT, DT)and dwelling time of GMT (5 min and 10 min) were the study variablesCovariant Variables. Route of measurement, right and lift axilla, placement of probe, environment, local blood flow, closure of axilla, taking antipyretic medication, taking bath within 30 min, time (morning, afternoon), and type of FI were the covariant variables.


### 3.11. Scale of Measurements

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.


### 3.12. Data Analysis Procedures

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 pairedt-tests was used. p<0.01 was considered statistically significant. Not only statistical but also clinical significance was also considered in the analyses. Even though the standard clinical significance varies with different literatures, most of them use a mean difference of 0.2°C and above as clinical significance [35–37]. This study also used mean difference of 0.2°C and above as clinical significance.


### 3.13. Data Quality Management

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.


### 3.14. Ethical Considerations

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.


## 3.1. Study Area

The study was carried out in Axum, city of northernEthiopia, 1024 Km north of Addis Ababa and 241 Km far from Mekelle which is the capital city of Tigray region, located in theCentral Zone ofTigray Region near the base of theAdwa mountains and surrounded byLa’ilay Maychew woreda. Axum was the original capital of thekingdom of Axum andone of the oldest continuously inhabited places in Africa. Saint Marry Hospital is one of the 13 governmental hospitals found in Tigray region which serve medical care for Axum’s population and nearby. In Tigray region 16.9% of the population is under-5 years and Axum town have around 7,490 numbers of children less than five years according to city administration report in 2012 [34].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.


## 3.2. Study Period

The Study was conducted from November/2013 to May/2014. The data was collected from 21–29/4/2014 G.C.


## 3.3. Study Design

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.


## 3.4. Source and Study Population

### 3.4.1. Source Population

The source population was all under-5 age children with FI visiting Axum St. Marry Hospital for healthcare service.


### 3.4.2. Study Population

The study population was under-5 children with FI visiting Axum St. Marry Hospital for healthcare service, particularly in under-5 OPD.


## 3.4.1. Source Population

The source population was all under-5 age children with FI visiting Axum St. Marry Hospital for healthcare service.


## 3.4.2. Study Population

The study population was under-5 children with FI visiting Axum St. Marry Hospital for healthcare service, particularly in under-5 OPD.


## 3.5. Inclusion and Exclusion Criteria

### 3.5.1. Inclusion Criteria

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


### 3.5.2. Exclusion Criteria

Patients with local infection in axilla, lethargy, or unconscious were excluded. Irritable subjects were also excluded.


## 3.5.1. Inclusion Criteria

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


## 3.5.2. Exclusion Criteria

Patients with local infection in axilla, lethargy, or unconscious were excluded. Irritable subjects were also excluded.


## 3.6. Sample Size Determination

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:(1)N=r+1Zα/2+Z1-β2σ2rd2,N=1±12.58±1.282∗.483721∗.272=2∗14.9∗0.2341∗.073=6.9720.073=95.5~96+5%of96=101,where “r” was the ratio of control to experimental which is 1 : 1 so r=1, “δ” is the pooled SD: 0.4837, d is the mean difference, 0.27, and N is the sample for each group. “Z1-β” was normally deviated at 90%: 1.28, and “Zα/2” was for 1% which is 2.58.


## 3.7. Sampling Procedures

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.


## 3.8. Clinical Study Procedures

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 Figure2.Figure 2
Diagrammatic presentation of comparison of body temperature among under-5 children.


## 3.9. Data Collection Procedures (Instrument, Personnel, and Data Quality Control)

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.


## 3.10. Variables

### 3.10.1. Dependent Variables

The dependent variables were accuracy of body temperature result.


### 3.10.2. Independent Variables

Temperature Variation Variables. Device type (GMT, DT)and dwelling time of GMT (5 min and 10 min) were the study variablesCovariant Variables. Route of measurement, right and lift axilla, placement of probe, environment, local blood flow, closure of axilla, taking antipyretic medication, taking bath within 30 min, time (morning, afternoon), and type of FI were the covariant variables.


## 3.10.1. Dependent Variables

The dependent variables were accuracy of body temperature result.


## 3.10.2. Independent Variables

Temperature Variation Variables. Device type (GMT, DT)and dwelling time of GMT (5 min and 10 min) were the study variablesCovariant Variables. Route of measurement, right and lift axilla, placement of probe, environment, local blood flow, closure of axilla, taking antipyretic medication, taking bath within 30 min, time (morning, afternoon), and type of FI were the covariant variables.


## 3.11. Scale of Measurements

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.


## 3.12. Data Analysis Procedures

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 pairedt-tests was used. p<0.01 was considered statistically significant. Not only statistical but also clinical significance was also considered in the analyses. Even though the standard clinical significance varies with different literatures, most of them use a mean difference of 0.2°C and above as clinical significance [35–37]. This study also used mean difference of 0.2°C and above as clinical significance.


## 3.13. Data Quality Management

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.


## 3.14. Ethical Considerations

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.


## 4. Result and Discussion

### 4.1. Result

#### 4.1.1. Sociodemographic Characteristics

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 Table1.Table 1
Sociodemographic characteristics of under-5 children with febrile illnesses in under-5 OPD.
S. number
Variables
Frequency (n=98)
Percentage (%)
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
2
Sex
Male
45
45.9
Female
53
54.1
3
Religion
Orthodox
90
91.8
Muslim
8
8.2
4
Care giver
Mother
86
87.8
Father
7
7.1
Sister/brother
2
2
Care servant
3
3.1
5
Data collection time
Morning
66
67.3
Afternoon
32
32.7
6
Taking antipyretic within 30 min
Yes
8
8.2
No
90
91.8
7
Taking bath within 30 min
Yes
2
2
No
96
98Most of the under-5 children in the study were diagnosed with pneumonia which accounts for 35 (35.7%). For further details, see Figure3.Figure 3
Diagnosis of under-5 children with febrile illnesses in under-5 OPD.


#### 4.1.2. Temperature Differences between 10 min GMT and DT

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 Table2.Table 2
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
39.4The 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 Table3.Table 3
Frequency of the difference of temperature in °C between 10 min glass mercury and digital thermometers.
Comparisons
Difference of temperature in °C
Frequency of differencen (%)
10 min mercury and digital thermometers
No
19 (19.4)
0.1
38 (38.8)
0.2
28(28.5)∗
>0.2
13(13.3)∗
The bold and “∗” indicate the frequency of clinical significant.44 outof 98 measurments were resulted in normal temperature by GMT and DT. For further details, see Table4.Table 4
Frequency of grading fever by thermometers.
Thermometers
Frequency  (percentage) of grading of fever
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.


#### 4.1.3. Correlation Analyses between 10 min GMT and DT

10 min GMT has strong positive correlation with DT. The Pearson correlation (r) of 10 min GMT and DT was 0.99 which implies the fact that as the result of 10 min GMT increases, the result of DT also increases. Both have direct positive relation (Table 5 and Figure 4).Table 5
Correlation  between 10 minute glass mercury and digital thermometers.
Thermometers
10 min GMT
DT
10 min GMT
1
DT
0.99
1Figure 4
Correlation of 10 min glass-mercury and digital thermometers.


#### 4.1.4. Pairedt-Test and Bland-Altman Analyses between 10 min GMT and DT

Statistically significant mean differences were noted in comparisons of temperatures of 10 min GMT with DT (p<0.00), but there were no clinical differences (defined as a mean difference of 0.2°C). For details, see Table 6.Table 6
Mean differences between comparison groups.
Comparison groups
Mean difference  ± SD
t-cal.
p value
99% CI of the mean difference
Lower
Upper
10 min GMT and DT
0.13 ± 0.11
11.85
0.00
0.10
0.16Mean differences of 10 min GMT and DT in relation to sociodemographic and other factors were done. But no clinically significant mean difference was observed (Table7).Table 7
Comparison groups in relation to sociodemographic and other variables.
SN
Sociodemographic and other variables
Observation
10 min GMT and digital
MD  ±  SD
p value
1
Age
0–28 days
4
0.10 ± 0.16
0.31
29 days–1 year
30
0.14 ± 0.10
0.00
1–3 years
34
0.13 ± 0.11
0.00
3–5 years
30
0.13 ± 0.10
0.00
2
Time of measurement
Morning
67
0.12 ± 0.11
0.00
Afternoon
31
0.14 ± 10
0.00
3
Taking  antipyretic
Yes
8
0.16 ± 0.12
0.01
No
90
0.13 ± 0.10
0.00
4
Axillary
Rt GMT and Lt DT
49
0.13 ± 0.10
0.00
Lt GMT and Rt DT
49
0.12 ± 10
0.00In order to determine the concordance between GMT and DT, the Bland-Altman method of analysis was used.Figure5 represents Bland-Altman plot of the 10 min mercury temperature readings and the digital temperature readings. On x-axis, the mean of the mercury and the digital temperature is plotted, and on y-axis the difference between the temperature readings of 10 min mercury and digital thermometer is plotted. In this plot, a line of mean difference and the lines of 99% limits of agreements are presented. All of the readings were falling within the lines of limits of agreement, that is, upper limit of 0.4 and lower limit of −0.1487.Figure 5
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 indicate2.58∗SD above and below the mean (upper and lower limit of agreement)Figure5 shows 10 min GMT was higher in 75 individuals than DT. Similarly, DT was higher in 4 individuals than 10 min GMT as DT was subtracted from 10 min GMT.10 min GMT and DT was agreed on in 88 of 98 measurements (For further details, see Table8).Table 8
Agreement of 10 min glass mercury with digital thermometers in specific range of temperature.
Digital thermometers
10 min GMT
Temperature results in °C
<36.5
36.5–37.5
≥37.5
Temperature results in °C
<36.5
8
0
36.5–37.5
5
39
0
≥37.5
0
5
41
Key and Clinical implications: the numerical value represents the number of recordings in each category. The bold values represent agreement for that specific temperature range.


### 4.2. Discussion

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) [19, 27, 38]. Similarly, this study measured temperature at auxiliary which was consistent with other studies in Turkey, India, and Korea, [19, 27, 39], but not with Malaysia which was on oral site [38]. Most of the previous studies used only statistical test [36, 39–48] unlike this study, which used both statistical and clinical implications in the overall decision of the research hypothesis.The mean difference of 10 min GMT and DT in this study showed a statistical significance (p<0.00). This finding was supported from the study of Biomedical Instrumentation and Technology which indicates that the improvements in safety, speed, and simplicity of use of the DT have been offset by statistically significant difference. Latman states that “the current generation of electronic, digital clinical thermometers, in general, may not be sufficient to replace the traditional glass/mercury thermometers” [49].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 (r=0.99) and all the mean differences were also falling in the limit of the agreement. These results were similar to the studies conducted in Iran and USA in which digital thermometers gave the best concordance with mercury thermometers [18, 50, 51].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 andp>0.05 [38]. This difference might be because of the route difference, since the study was conducted in oral route in which GMT were highly influenced by ingestion of food prior to 30 min. Similarly, the measurements were not taken simultaneously unlike this study.


#### 4.2.1. Conclusion

Even though a statistical significance (p<0.00) difference was observed between 10 min GMT and DT, their mean differences were not clinically significant (<0.2°C) or do not differ enough to cause problems in clinical interpretation. Their correlations were also strong positive correlation (r>0.75) and all the mean differences among them were falling in the limit of agreement in Bland-Altman plot. Their variation in temperature is not likely to change any clinical decision. No compensation for the difference is needed since lack of consistent mean differences (homogeneous variations) between GMT and DT was shown. Similarly, their differences were clinically not significant.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,(i)
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) [5, 19];(ii)
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;(iii)
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;(iv)
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) [5, 19].


## 4.1. Result

### 4.1.1. Sociodemographic Characteristics

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 Table1.Table 1
Sociodemographic characteristics of under-5 children with febrile illnesses in under-5 OPD.
S. number
Variables
Frequency (n=98)
Percentage (%)
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
2
Sex
Male
45
45.9
Female
53
54.1
3
Religion
Orthodox
90
91.8
Muslim
8
8.2
4
Care giver
Mother
86
87.8
Father
7
7.1
Sister/brother
2
2
Care servant
3
3.1
5
Data collection time
Morning
66
67.3
Afternoon
32
32.7
6
Taking antipyretic within 30 min
Yes
8
8.2
No
90
91.8
7
Taking bath within 30 min
Yes
2
2
No
96
98Most of the under-5 children in the study were diagnosed with pneumonia which accounts for 35 (35.7%). For further details, see Figure3.Figure 3
Diagnosis of under-5 children with febrile illnesses in under-5 OPD.


### 4.1.2. Temperature Differences between 10 min GMT and DT

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 Table2.Table 2
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
39.4The 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 Table3.Table 3
Frequency of the difference of temperature in °C between 10 min glass mercury and digital thermometers.
Comparisons
Difference of temperature in °C
Frequency of differencen (%)
10 min mercury and digital thermometers
No
19 (19.4)
0.1
38 (38.8)
0.2
28(28.5)∗
>0.2
13(13.3)∗
The bold and “∗” indicate the frequency of clinical significant.44 outof 98 measurments were resulted in normal temperature by GMT and DT. For further details, see Table4.Table 4
Frequency of grading fever by thermometers.
Thermometers
Frequency  (percentage) of grading of fever
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.


### 4.1.3. Correlation Analyses between 10 min GMT and DT

10 min GMT has strong positive correlation with DT. The Pearson correlation (r) of 10 min GMT and DT was 0.99 which implies the fact that as the result of 10 min GMT increases, the result of DT also increases. Both have direct positive relation (Table 5 and Figure 4).Table 5
Correlation  between 10 minute glass mercury and digital thermometers.
Thermometers
10 min GMT
DT
10 min GMT
1
DT
0.99
1Figure 4
Correlation of 10 min glass-mercury and digital thermometers.


### 4.1.4. Pairedt-Test and Bland-Altman Analyses between 10 min GMT and DT

Statistically significant mean differences were noted in comparisons of temperatures of 10 min GMT with DT (p<0.00), but there were no clinical differences (defined as a mean difference of 0.2°C). For details, see Table 6.Table 6
Mean differences between comparison groups.
Comparison groups
Mean difference  ± SD
t-cal.
p value
99% CI of the mean difference
Lower
Upper
10 min GMT and DT
0.13 ± 0.11
11.85
0.00
0.10
0.16Mean differences of 10 min GMT and DT in relation to sociodemographic and other factors were done. But no clinically significant mean difference was observed (Table7).Table 7
Comparison groups in relation to sociodemographic and other variables.
SN
Sociodemographic and other variables
Observation
10 min GMT and digital
MD  ±  SD
p value
1
Age
0–28 days
4
0.10 ± 0.16
0.31
29 days–1 year
30
0.14 ± 0.10
0.00
1–3 years
34
0.13 ± 0.11
0.00
3–5 years
30
0.13 ± 0.10
0.00
2
Time of measurement
Morning
67
0.12 ± 0.11
0.00
Afternoon
31
0.14 ± 10
0.00
3
Taking  antipyretic
Yes
8
0.16 ± 0.12
0.01
No
90
0.13 ± 0.10
0.00
4
Axillary
Rt GMT and Lt DT
49
0.13 ± 0.10
0.00
Lt GMT and Rt DT
49
0.12 ± 10
0.00In order to determine the concordance between GMT and DT, the Bland-Altman method of analysis was used.Figure5 represents Bland-Altman plot of the 10 min mercury temperature readings and the digital temperature readings. On x-axis, the mean of the mercury and the digital temperature is plotted, and on y-axis the difference between the temperature readings of 10 min mercury and digital thermometer is plotted. In this plot, a line of mean difference and the lines of 99% limits of agreements are presented. All of the readings were falling within the lines of limits of agreement, that is, upper limit of 0.4 and lower limit of −0.1487.Figure 5
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 indicate2.58∗SD above and below the mean (upper and lower limit of agreement)Figure5 shows 10 min GMT was higher in 75 individuals than DT. Similarly, DT was higher in 4 individuals than 10 min GMT as DT was subtracted from 10 min GMT.10 min GMT and DT was agreed on in 88 of 98 measurements (For further details, see Table8).Table 8
Agreement of 10 min glass mercury with digital thermometers in specific range of temperature.
Digital thermometers
10 min GMT
Temperature results in °C
<36.5
36.5–37.5
≥37.5
Temperature results in °C
<36.5
8
0
36.5–37.5
5
39
0
≥37.5
0
5
41
Key and Clinical implications: the numerical value represents the number of recordings in each category. The bold values represent agreement for that specific temperature range.


## 4.1.1. Sociodemographic Characteristics

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 Table1.Table 1
Sociodemographic characteristics of under-5 children with febrile illnesses in under-5 OPD.
S. number
Variables
Frequency (n=98)
Percentage (%)
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
2
Sex
Male
45
45.9
Female
53
54.1
3
Religion
Orthodox
90
91.8
Muslim
8
8.2
4
Care giver
Mother
86
87.8
Father
7
7.1
Sister/brother
2
2
Care servant
3
3.1
5
Data collection time
Morning
66
67.3
Afternoon
32
32.7
6
Taking antipyretic within 30 min
Yes
8
8.2
No
90
91.8
7
Taking bath within 30 min
Yes
2
2
No
96
98Most of the under-5 children in the study were diagnosed with pneumonia which accounts for 35 (35.7%). For further details, see Figure3.Figure 3
Diagnosis of under-5 children with febrile illnesses in under-5 OPD.


## 4.1.2. Temperature Differences between 10 min GMT and DT

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 Table2.Table 2
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
39.4The 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 Table3.Table 3
Frequency of the difference of temperature in °C between 10 min glass mercury and digital thermometers.
Comparisons
Difference of temperature in °C
Frequency of differencen (%)
10 min mercury and digital thermometers
No
19 (19.4)
0.1
38 (38.8)
0.2
28(28.5)∗
>0.2
13(13.3)∗
The bold and “∗” indicate the frequency of clinical significant.44 outof 98 measurments were resulted in normal temperature by GMT and DT. For further details, see Table4.Table 4
Frequency of grading fever by thermometers.
Thermometers
Frequency  (percentage) of grading of fever
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.


## 4.1.3. Correlation Analyses between 10 min GMT and DT

10 min GMT has strong positive correlation with DT. The Pearson correlation (r) of 10 min GMT and DT was 0.99 which implies the fact that as the result of 10 min GMT increases, the result of DT also increases. Both have direct positive relation (Table 5 and Figure 4).Table 5
Correlation  between 10 minute glass mercury and digital thermometers.
Thermometers
10 min GMT
DT
10 min GMT
1
DT
0.99
1Figure 4
Correlation of 10 min glass-mercury and digital thermometers.


## 4.1.4. Pairedt-Test and Bland-Altman Analyses between 10 min GMT and DT

Statistically significant mean differences were noted in comparisons of temperatures of 10 min GMT with DT (p<0.00), but there were no clinical differences (defined as a mean difference of 0.2°C). For details, see Table 6.Table 6
Mean differences between comparison groups.
Comparison groups
Mean difference  ± SD
t-cal.
p value
99% CI of the mean difference
Lower
Upper
10 min GMT and DT
0.13 ± 0.11
11.85
0.00
0.10
0.16Mean differences of 10 min GMT and DT in relation to sociodemographic and other factors were done. But no clinically significant mean difference was observed (Table7).Table 7
Comparison groups in relation to sociodemographic and other variables.
SN
Sociodemographic and other variables
Observation
10 min GMT and digital
MD  ±  SD
p value
1
Age
0–28 days
4
0.10 ± 0.16
0.31
29 days–1 year
30
0.14 ± 0.10
0.00
1–3 years
34
0.13 ± 0.11
0.00
3–5 years
30
0.13 ± 0.10
0.00
2
Time of measurement
Morning
67
0.12 ± 0.11
0.00
Afternoon
31
0.14 ± 10
0.00
3
Taking  antipyretic
Yes
8
0.16 ± 0.12
0.01
No
90
0.13 ± 0.10
0.00
4
Axillary
Rt GMT and Lt DT
49
0.13 ± 0.10
0.00
Lt GMT and Rt DT
49
0.12 ± 10
0.00In order to determine the concordance between GMT and DT, the Bland-Altman method of analysis was used.Figure5 represents Bland-Altman plot of the 10 min mercury temperature readings and the digital temperature readings. On x-axis, the mean of the mercury and the digital temperature is plotted, and on y-axis the difference between the temperature readings of 10 min mercury and digital thermometer is plotted. In this plot, a line of mean difference and the lines of 99% limits of agreements are presented. All of the readings were falling within the lines of limits of agreement, that is, upper limit of 0.4 and lower limit of −0.1487.Figure 5
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 indicate2.58∗SD above and below the mean (upper and lower limit of agreement)Figure5 shows 10 min GMT was higher in 75 individuals than DT. Similarly, DT was higher in 4 individuals than 10 min GMT as DT was subtracted from 10 min GMT.10 min GMT and DT was agreed on in 88 of 98 measurements (For further details, see Table8).Table 8
Agreement of 10 min glass mercury with digital thermometers in specific range of temperature.
Digital thermometers
10 min GMT
Temperature results in °C
<36.5
36.5–37.5
≥37.5
Temperature results in °C
<36.5
8
0
36.5–37.5
5
39
0
≥37.5
0
5
41
Key and Clinical implications: the numerical value represents the number of recordings in each category. The bold values represent agreement for that specific temperature range.


## 4.2. Discussion

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) [19, 27, 38]. Similarly, this study measured temperature at auxiliary which was consistent with other studies in Turkey, India, and Korea, [19, 27, 39], but not with Malaysia which was on oral site [38]. Most of the previous studies used only statistical test [36, 39–48] unlike this study, which used both statistical and clinical implications in the overall decision of the research hypothesis.The mean difference of 10 min GMT and DT in this study showed a statistical significance (p<0.00). This finding was supported from the study of Biomedical Instrumentation and Technology which indicates that the improvements in safety, speed, and simplicity of use of the DT have been offset by statistically significant difference. Latman states that “the current generation of electronic, digital clinical thermometers, in general, may not be sufficient to replace the traditional glass/mercury thermometers” [49].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 (r=0.99) and all the mean differences were also falling in the limit of the agreement. These results were similar to the studies conducted in Iran and USA in which digital thermometers gave the best concordance with mercury thermometers [18, 50, 51].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 andp>0.05 [38]. This difference might be because of the route difference, since the study was conducted in oral route in which GMT were highly influenced by ingestion of food prior to 30 min. Similarly, the measurements were not taken simultaneously unlike this study.


### 4.2.1. Conclusion

Even though a statistical significance (p<0.00) difference was observed between 10 min GMT and DT, their mean differences were not clinically significant (<0.2°C) or do not differ enough to cause problems in clinical interpretation. Their correlations were also strong positive correlation (r>0.75) and all the mean differences among them were falling in the limit of agreement in Bland-Altman plot. Their variation in temperature is not likely to change any clinical decision. No compensation for the difference is needed since lack of consistent mean differences (homogeneous variations) between GMT and DT was shown. Similarly, their differences were clinically not significant.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,(i)
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) [5, 19];(ii)
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;(iii)
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;(iv)
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) [5, 19].


## 4.2.1. Conclusion

Even though a statistical significance (p<0.00) difference was observed between 10 min GMT and DT, their mean differences were not clinically significant (<0.2°C) or do not differ enough to cause problems in clinical interpretation. Their correlations were also strong positive correlation (r>0.75) and all the mean differences among them were falling in the limit of agreement in Bland-Altman plot. Their variation in temperature is not likely to change any clinical decision. No compensation for the difference is needed since lack of consistent mean differences (homogeneous variations) between GMT and DT was shown. Similarly, their differences were clinically not significant.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,(i)
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) [5, 19];(ii)
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;(iii)
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;(iv)
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) [5, 19].



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*Source: 3474503-2016-01-04.xml*