Take a look at the Recent articles

Self-monitoring of blood glucose, practices, and determinants in type 2 diabetics

Salih AA

Assistant professor, University of Mustansiriyah-Faculty of Medicine, Family and Community Medicine Department, Baghdad/Iraq

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Sadiq MA

Assistant professor, University of Mustansiriyah-Faculty of Medicine, Family and Community Medicine Department, Baghdad/Iraq

Rayed MH

Family physician in AL-Najaf PHC, Baghdad/Iraq

DOI: 10.15761/PMCH.1000157

Article
Article Info
Author Info
Figures & Data

Abstract

Background: Self-Monitoring of Blood Glucose is an approach whereby people with diabetes measure their blood sugar themselves using a glycemic reader device (glucose meter). Based on the reading, they can adjust or check the effect of their treatment (diet, exercise, insulin, antidiabetics) or consult their physician.

Objectives: To assess the practice and determinants of self-monitoring of blood glucose in type2 Diabetic patients.

Patients and method: A cross- sectional study, carried at the endocrine and diabetes center in Al-Sadr Hospital in Al-Najaf governorate in Iraq at the period from the 1st of July to the end of Dec 2020. A Convenient sample included type 2 diabetes mellitus patients with age 18 years and above by direct interview using structured questionnaire.

Results: About (73.8%) were currently using a glucometer, (79.4%) said they changed their device, and only 170 (44.3%) calibrate the device with laboratory, on the other hand, most of the glucometer users, (89.9%), changed the lancet at each test but unfortunately (10.2%) did not. About (61.2%) patients had good and (38.8%) had poor self-monitoring of blood glucose.

Conclusion: Less than 2/3rd of patients had good practice levels. A significant association was found with age, marital state, occupation, education, and disease duration.

Keywords

Type 2 diabetes, self-monitoring, blood glucose

Introduction

Diabetes is a chronic condition in which blood glucose levels are chronically elevated to equal or more than 126 mg/dl in fasting plasma glucose test. Diabetes is one of the most important public health problems of the 21st century. The prevalence of diabetes has increased due to changes in lifestyle and an increased life expectancy. According to the International Diabetes Federation, 8.8% of adults aged 20–79 years were estimated to have diabetes in 2017, and the number of people with diabetes in that year reached 425 million people worldwide. The number of people with diabetes increases to 451 million if the age range is expanded to 18–99 years. Should these trends continue, by 2045, 693 million people aged 18–99 years, or 629 million people aged 20–79 years, will have diabetes [1,2].

Glycemic control is necessary to reduce morbidity and mortality of DM through the prevention and/or delay of these complications [3]. Optimum glycemic control can be achieved only when the patients are adherent to self-management behaviors such as healthy diet, physical activity, monitoring of blood glucose, taking medications, reducing the risk factors, ability to resolve diabetes problems, and healthy coping [3-7].

Therefore, the American Diabetes Association announced that each diabetic patient should participate in a diabetes self-management educational (DSME) program. Unfortunately, DSME programs are lacking in Iraq [8].

Impractical to directly adopt a validated DSME program [9-11] because they were already validated in communities with different health beliefs and cultures from Iraqi patients [12].

Hence, the development of a culturally specific DSME program is mandatory. The first step in developing such a program is to know specifically the self-management behaviors among Iraqi patients [13].

Type 2 diabetes mellitus (T2DM) is the major type of diabetes around the world. It is caused by the body’s ineffective use of insulin added to a slowly progressive loss of pancreatic β-cells [14].

Both types of diabetes may have the same symptoms, but in T2DM they are often less marked or absent. Subsequently, it may be a silent disease without manifestation for a long time, until complications occur [15].

For many years, this type of diabetes was observed only in adults, but based on recent World Health Organization (WHO) data, it is also increasingly manifesting in children. For the past 30 years, the world has experienced a continuous rise in the prevalence of diabetes particularly in low- and middle-income countries which marks the most rapid growth. The earlier onset of T2DM is described in children, potentially due to the modernization of lifestyle [16].

The prevalence of diabetes worldwide in 2017, is estimated to be 8.8% (425 million people) among the adult population as presented by the International Diabetes Federation (IDF). Among IDF regions, the Middle East and North Africa (MENA) region have the second-highest rate of diabetes and 9.2% prevalence. Between 2017 and 2045, it is estimated that diabetes prevalence will increase by 110% in the MENA region and will reach 629 million worldwide in 2045 [17].

In 2017, the mortality rate due to diabetes reached 10.7% in adult patients (20-79 years). In MENA Region, diabetes accounts for 373 557 deaths (21 countries and territories including Iraq) and an estimate of 51.8% of deaths are due to diabetes in patients aged below 60; this puts the region in the highest second level among IDF regions [17]. Despite the high prevalence of diabetes in the MENA region, data on diabetes progression and complications are scarce and only 2.9% of total global spending on diabetes is invested in the region [18].

Around 1.4 million Iraqis have diabetes. Reported T2DM prevalence in Iraq ranges from 8.5% (IDF—age-adjusted) to 13.9%. A local study including more than 5400 people in the city of Basrah, Southern Iraq, reported a 19.7% age-adjusted prevalence of diabetes in subjects aged 19 to 94 years [19].

In Iraq, there are insufficient epidemiological studies and randomized controlled trials (RCTs) related to diabetes; therefore, it remains difficult to fully understand the prevalence of diabetes in Iraq and the most effective therapies for the Iraqi population [19].

Self-monitoring of blood glucose

Self-Monitoring of Blood Glucose is an approach whereby people with diabetes measure their blood sugar themselves using a glycemic reader (glucose meter). Based on the reading, they can adjust or check the effect of their treatment (diet, exercise, insulin, antidiabetics, stress management). Within the wider context of diabetes self-management, self-monitoring supports the maintenance of blood glucose (sugar) at levels as close as possible to target values [20].

Approximately half of the patients with diabetes are reported to have suboptimal or poor glycemic control, both at the national level and the global level. Uncontrolled diabetes represents the major factor for diabetes-related morbidity. Notably, cardiovascular complications increase the number of hospitalizations and related health expenditures [21-25].

The level of hemoglobin A1c (HbA1c) is linearly associated with coronary heart disease (CHD) hospitalization. Uncontrolled diabetes was associated with 13.6% all-cause mortality, 17.9% for CHD, and 2.7% for stroke hospitalization [26].

A study estimated that each unit increase inHbA1c level is independently associated with a 40% and 11% increase in the odds of microvascular and macrovascular complications, respectively [27]. Over the last two decades, self-management has become an integral part of management in patients with diabetes in combination with pharmacological treatments. It consists of empowering patients to perform a set of activities to achieve target lifestyle and behavioral standards in different dimensions such as diet, exercise, and blood glucose monitoring [28-30]. This strategy demonstrated high efficacy in improving diabetes control and is increasingly recommended as a standard of care in diabetes [29,31].

The day-to-day management of diabetes mellitus is a complex and consistent challenge for patients and healthcare providers alike. Established patient self-management tools, such as self-monitoring of blood glucose (SMBG), are now being used in tandem with information technology and telecommunications to provide more integrated management of the disease [32].

The benefits of intensive glycemic control have long been established both in type 1and type 2 diabetes, and include reduced rates of microvascular complications, with SMBG providing the means to monitor progress and avoid hypoglycemia. Although SMBG is well supported for frequent use in insulin-dependent diabetes, there is controversy over self-testing in non-insulin-dependent type 2 diabetes and a lack of research on the importance of testing frequency on clinical outcomes. One line of reasoning as to why SMBG cannot consistently be shown to demonstrate an effect in non-insulin-dependent diabetes lies in the variability of decision-making because of SMBG [32].

With the advent of online communications, the Internet-based Blood Glucose Monitoring System (IBGMS) is a technology that is used to augment SMBG by giving patients the means to communicate their blood glucose levels to their healthcare provider for actionable feedback. This technology has been shown to reduce A1C in several randomized controlled trials for type1 and type 2 diabetes [33,34].

Objectives

To assess practice and determinants of blood glucose self-monitoring in type 2 diabetic patients.

Patients and method

A cross-sectional study. the study was conducted at the endocrine and diabetes center in Al-Sadr Hospital in Al-Najaf governorate in Iraq. A convenient sample that included type 2 diabetic patients aged 18 years and above that attend the diabetic center and by direct interview using a modified questionnaire (Table 1-9).

Table 1. Socio-demographic characteristics of the studied group(N=428).

Variable

No.

%

Age (year)

18-29

89

20.8

30 - 39

92

21.5

40 - 49

84

19.6

50-59

88

20.6

≥60

75

17.5

Gender

Male

192

44.9

Female

236

55.1

Marital state

Married

354

82.7

Unmarried

61

14.3

Divorced/Widow

13

3.0

Occupation

Employed

144

33.6

Unemployed

284

66.4

Education

Illiterate

38

8.9

Primary

96

22.4

Secondary

131

30.6

College

108

25.2

Higher

55

12.9

Comorbidities

Hypertension

50

11.7

Heart disease

18

4.2

Others

21

4.9

None

339

79.2

Family history of DM*

Yes

170

39.7

No

258

60.3

Duration of DM (years)

3 - 5

171

40.0

6 - 10

165

38.6

> 10

92

21.5

Treatment

OHG*

383

89.5

OHG +Insulin

45

10.5

Total

428

100.0

DM: diabetes mellitus, OHG: oral hypoglycemic agent

Table 2. Diabetes Management and follow-up related variable of the studied group (N=428).

Variable

No.

%

Follow a diabetes diet

Yes

315

73.6

No

113

26.4

Take medication regularly

Yes

361

84.3

No

67

15.7

Follow up health conditions regarding diabetes with a doctor

Yes

351

82.0

No

77

18.0

Total

428

100.0

Table 3. Distribution of the studied group according to the use of Glucometer device and times.

Variable

Category

No.

%

Use a glucometer

Currently use

316

73.8

Previously use

68

15.9

No

44

10.3

Total

428

100.0

How often do you use the device

More than Once/day

33

8.6

Daily

29

7.6

2-4 times weekly

89

23.2

Weekly

89

23.2

Irregular

144

37.5

Total

384

100.0

Table 4. Practices of the glucometer users (N=384).

Variable

Category

No.

%

Changing the device

Yes

305

79.4

No

79

20.6

Calibrate the device with the laboratory

Yes

170

44.3

No

214

55.7

Change the lancet

At each test

345

89.8

Frequently/on each other testing

39

10.2

Sharing the device with someone else

Yes

20

5.2

No

364

94.8

Total

384

100.0

Table 5. Distribution of sample according to the instructors and reason of glucometer use (N=384).

Variable

Category

No.

%

Advisor to use the device

Doctor

92

24.0

Family member

179

46.6

Someone else

113

29.4

Taughtor to use the

device

Doctor

148

38.5

Family member

156

40.6

Someone else

80

20.8

Reason to do the test

Before taking insulin

23

6.0

To find out the level of

diabetes

166

43.2

To monitor my sugar levels

164

42.7

At the doctor's direction

31

8.1

Total

384

100.0

Table 6. Distribution of sample according to doing and reading results of glucometer (N=384).

Variable

Category

No.

%

Doing the test him/herself

Yes

288

75.0

No

96

25.0

If did not do the test him/herself, who would do it?

Family member

77

80.2

Someone else

19

19.8

Reading the results

His/herself

281

73.2

Family member

84

21.9

Someone else

19

4.9

Total

384

100.0

Table 7. Distribution of sample according to the timing, follow up doctor advices and confidence in results of the test (N=384).

Variable

Category

No.

%

Having a specific time to take the test

Yes

134

33.7

No

264

66.3

Doing a test only when feel symptoms

Yes

238

62.0

No

146

38.0

Follow the doctor's advice when making the test

Yes

138

35.9

No

246

64.1

Confidence in the results of the test

Yes

351

91.4

No

33

8.6

Total

384

100.0

Table 8. Distribution of sample according to their attitude toward the glucometer test (N=384).

 

Variable

Yes

No

No.

%

No.

%

Feel the test is Painful

48

12.5

336

87.5

Getting tested in front of others is

embarrassing

70

17.9

320

82.1

Test strips financially expensive

119

31.0

265

69.0

Follow the user guide instructions for the

device

324

84.4

60

15.6

Table 9. Actions taken by sample on getting abnormal or error in test results (N=384).

Variable

Category

No.

%

Action taken when the results are abnormal (very high / very low)

Recheck

195

50.8

Examine in the laboratory

82

21.4

Stop / repeat treatment

43

11.2

Go to the hospital

24

6.3

See a doctor

23

6.0

Call a doctor

12

3.1

I'm not doing anything

5

1.3

Action taken on seeing an error in reading (No result appears)

Recheck

322

83.9

Examine in the laboratory

47

12.2

Not doing anything

15

3.9

Total

384

100.0

The questionnaires were divided into 3 parts and included the following data:

  1. Part I (6 questions): sociodemographic criteria of the patients (age, gender, marital status, occupation, and level of education)
  2. Part II (7 questions): about the diabetes mellitus history (duration, type of treatment, diet, medications, follow-up of their health, presence or absence of comorbidity, and family history of DM)
  3. Part III (22 questions): all about the self-monitoring of the blood glucose.

On starting an interview, the researcher explained the purpose, importance of the study, and how to respond correctly.

Ethical approval and permission:

The current study was approved by the Iraqi board council of family medicine. The agreements were obtained from the participants and all of them informed that the information in this study will be secrete and not used for other purposes.

Statistical analysis

Data of the study participants were checked for errors or inconsistency, then entered and analyzed using the statistical package for social sciences (SPSS) version 26, IBM, US, 2019. Descriptive statistics of variables presented as frequencies, proportion (%) mean, and standard deviation according to the type of variables.

The produced SMBG score was tested for statistical normal distribution, and it did follow the normal distribution. The impact of independent variables (Age, gender, marital status, occupation, level of education, presence of comorbidities Family history of DM, duration of DM, treatment, and use of a glucometer) were cross- tabulated against the level of SMBG as a dependent variable. The significance of association between independent and dependent variables was assessed using Chi-square test. Level of significance (P. value) of 0.05 or less was considered significant. Finally, results and findings presented in tables with an explanatory paragraph for each, using the Microsoft Word and Excel Software version 2019.

Level of SMBG and scoring system:

To assess the level of SMBG, responses of study participants towards 18 items that related to their practice and adherence with SMBG were scored.

These 18 items included: -

The good practice response scored “1” while poor or not performed scored “0” the total score for each participant ranged 0 – 18 by summation of scores of all items, the lower score indicated poor practice and adherence. Study participants then categorized according to their scores to be a poor or good level of SMBG, However, the levels of SMBG were evaluated according to Bloom’s criteria; The original Bloom’s cut-off points, 80.0–100.0%, 60.0–79.0%, and ≤59.0% were adapted and modified, hence, participants with good response for 60% or more of the items considered to have good SMBG] while those with < 60% good response considered to have poor SMBG.

Results

A total of 428 diabetic patients were enrolled in this study aged 18-67 years, moreover, most of the patients were at age of thirty or older.

Females were Slightly dominant represented 55.1% of the study participants with a female to male ratio of 1.23 to one.

According to the practices of study participants for blood glucose self-monitoring (BGSM), descriptive statistics of their BGSM score are shown in (Table 10) where the mean BGSM score was 10.2 ± 3.3, the median was 11, and range of 1-15.

Table 10. Descriptive statistics of blood glucose self-monitoring (BGSM) score of the study participants (N=428).

Statistics

BGSM score

Mean

10.2

Standard Deviation

3.3

Median

11

Interquartile range (IQR)

9 - 12

Minimum

1

Maximum

15

According to the level of BGSM of participants, 262 (61.2%) patients had good and 166 (38.8%) had poor BGSM, (Table 11).

Table 11. Distribution of the study participants according to the level of BGSM level (N=428)

BGSM

No.

%

Good

262

61.2

Poor

166

38.8

Total

428

100.0

Further analysis was performed to assess the relationship between BGSM and patient’s characteristics; Spearman’s bivariate correlation test was used to assess this correlation, where BGSM score was used as a dependent variable and other variables as independent (determinant) variables; results of this analysis demonstrated in (Table 12). A significant positive correlation was found with age indicated that BGSM is better with advancing age, a significant correlation was found between BGSM score and each of marital state, occupation, education and use of a glucometer, in all comparisons, P. value < 0.005.

Table 12. Results of Bivariate correlation analysis between BGSM score and other variables of the studied group (N = 428).

 

Indices of correlation with

BGSM score

R

P. value

Age

0.217

0.0001*

Male gender

0.026

0.592

Marital state

0.361

0.0001*

Occupation

0.097

0.046

Education

0.096

0.047*

Comorbidities

-0.037

0.439

Family history of DM

-0.025

0.606

Duration

0.168

0.0001*

Treatment

-0.075

0.122

Use a glucometer

0.665

0.0001*

*significant correlation

Spearman’s test was applied.

No significant association was found with other variables, (P>0.05)

Discussion

Diabetes mellitus, like many other chronic degenerative diseases, has progressively increased incidence and prevalence throughout the world and remains a major problem for global public health because the number of patients is increasing day by day [35-37].

Self-monitoring of blood glucose is part of the treatment in patients with type 2 (DM2) treated with or without insulin. Several randomized trials have questioned the clinical utility and cost-effectiveness of routine self-monitoring of blood glucose in these patients. Therefore, the present study aimed to assess the practice and determinants of Iraqi patients in blood glucose self-monitoring (SMBG) using glucometer devices, hence the study included 428 adult diabetic patients aged 18-67 years and most of them at 30 years or older, the age distribution in this study consistent with the epidemiological characteristics of T2DM where previous literatures mentioned that age and gender among the important risk factors for the development of DM [35,36].

The demographic characteristics of the studied group almost close to that of T2DM Iraqi population which reflects the homogeneity of the selected sample and its ability to be representative to the total population and generalization of findings of the study [37-39].

In the study, 73.6% of patients following a diabetes diet, and 84.3% of them claimed that they take medications regularly, these findings were higher than that reported in the United Arab Emirates where only 10% did follow and adhere to recommended special diet for Diabetes. A higher proportion, 59.9%, of patients following a special recommended diet and almost 90% used medication regularly, the differences among different studies attributed to the cultural nature of different populations among these countries. In Iraq, unhealthy diet and physical inactivity represented a real challenge in the management and control of many chronic diseases. It is well-known that unhealthy diet and lifestyle are an important risk factors for poor diabetic control and management, hence knowledge and practice of patients play an essential role in the management of DM [38-41].

The present study found that (89.5%) patients used an oral hypoglycemic agents while (10.5%) used a combination of OHGAs and insulin, this was not unexpected because in the management of T2DM particularly those who had the disease for longer duration Insulin needed for the optimization of glycemic control [42].

Regarding the use of glucometer by the patients in the present study, 73.8 of the respondents measures their glucose by glucometer, which is in agreement found in Norway, where 72% of patients used glucometer in their SMBG. Which close to that reported in a recent Iranian study conducted in 2020 by Babaniamansour et al. who found that 78.6% used a glucometer. Lower rate of glucometer usage was reported in an Earlier Pakistani study where Farhan et al. found that the prevalence of home usage of glucometer was only 59% [43-49].

The variation in the usage of glucometer among different studies could be attributed to the availability of glucometer, cost of the device, and its strips in addition to knowledge and experience of patients regarding using the device [50-53].

As for the Practices and experience of the glucometer users with their device, majorities (79.4%) of the patients said they changed their device, less than half (44.3%) of them calibrate the device with laboratory, on the other hand, 79.4 of the glucometer users, changed the lancet at each test. Only (5.2%) sharing their devices with others. These findings agreed reported in previous studies conducted in Iran. A study in Norway found that 18% of patients change their devices [50,51].

Among the glucometer users, less than fourth (24%) of the patients get advice about the use of a device from the doctor, and about half (46.6%) get their advice from a family member and more than a fourth from someone else. From another point of view, the Taughtor to use the devices was the doctor in 38.5% of the patients.

There is wide variation in the information and instruction received by the patients about the use of glucometer among different studies due to the variation in the population studied, health facilities, and health systems in different countries. For instance, Tenderich reported that 41% of patients did not obtain information from anyone and they claimed that they learned the use of glucometer by themselves, 38% informed by nurses, and only 5% instructed by the doctors which are lower than the reported rate in the current study. Almost similar findings were also reported by Cordts S et al. in 2013 and Polonsky et al. in 2013. A Saudi study, Alhaiti et al, found that 80.1% of the patients got advises from healthcare providers [49-52].

Among the glucometer users, only (24%) get advice about the use of the device from the doctor. Only (6%) did the test before breakfast, (43.2%) to find their diabetes level, patients (42.7%) to monitor their blood sugar levels, and only (8.1%) patients did the test according to doctor instructions.

The interesting finding in the present study was only (6%) did the test before breakfast. On the other hand, about 33.7% of the patients having a specific time to take the test, while 62% doing a test only when feeling symptoms. These findings indicate poor adherence to the instruction and timing of testing. These findings were relatively consistent with that reported by Alhaiti et al. from Saudi Arabia. However, SMBG is neither uniform nor identical among all patients and settings, it is mainly subjective intervention and not like the use of medication. Timing and frequency of tests vary significantly according to the experience and satisfaction of patients about the use in addition to their knowledge, hence, some patients well and the others poorly used their devices and SMBG [52-58].

In general, the level of SMBG of participants was good in 61.2% of patients, which consistent with the findings of an earlier Iraqi study in Najaf where Mohammed-Ali and Hamza [54] found a rate of 60.2%. On the other hand, this rate was higher than that in Saudi Arabia by Alhaiti et al. [51] where only 42% of the patients had good SMBG. Tenderich A [48] found a rate of 60% [49,52,53]

Regarding following the doctor’s advice when making the test 35.9% followed the doctor's instructions when taking the test, and 91.4% of patients were confident in the obtained results. Previous studies reported different rates and this variation could be attributed to the variation in the populations, study designs, and samples [53].

Among the barriers of SMBG to use, 12.5 % of the patients feel that the test is painful, 17.9% considered it embarrassing to do the test in front of others, cost of the strips is another factor that contribute to a negative attitude, and 15.6% did not follow the user guide instructions for the device. Almost similar findings were reported by Ong et al. who found that cost of that strip, stigma, perception of that SMBG for only insulin dose optimization, fear of pain, inadequate knowledge among the barriers of SMBG [58].

Further analysis was performed to assess the relationship between SMBG and patients’ characteristics. A significant positive correlation was found with age indicated that SMBG is better with advancing age, a significant correlation was found between SMBG score and each of marital state, occupation, education and use of glucometer. In previous studies various determinant related to SMBG among diabetic patients; Gomes et al. in Brazil [55] found that female gender, younger age, and high social status significant determinants of good SMBG. Raoufi et al. found that higher education level, residence, family income was a significant determinant of SMBG [1]. Scorpiglione et al. found that age below 50 years, treated at a diabetes clinic, and incidence of hypoglycemic attacks were significant motivations for self-monitoring of blood glucose [57] Sadiq and salih [58].

Conclusion

  1. Less than 2/3rd of patients had good practice levels.
  2. A significant association was found with age, marital state, occupation, education, and disease duration.

References

  1. Raoufi AM, Tang X, Jing Z, Zhang X, Xu Q, et al. (2018) Blood glucose monitoring and its determinants in diabetic patients: A cross-sectional study in Shandong, China. Diabetes Ther 9: 2055-2066. [Crossref]
  2. American Diabetes Association (2018) Improving care and promoting health in populations: standards of medical care in diabetes-2018. Diabetes Care 41: S7–S12. [Crossref]
  3. Shrivastava SR, Shrivastava PS, Ramasamy J (2013) Role of self-care in management of diabetes mellitus. J Diabetes Metab Disord 12: 14. [Crossref]
  4. Collins MM, Bradley CP, O’Sullivan T, J Perry IJ (2009) Self-care coping strategies in people with diabetes: a qualitative exploratory study. BMC Endocr Disord 9: 6.
  5. Zheng YP, Wu LF, Su ZF, Zhou QH (2014) Development of a diabetes education program based on modified AADE diabetes education curriculum. Int J Clin Exp Med 7: 758–763. [Crossref]
  6. Tomky D, Cypress M, Dang D (2008) AADE position statement: AADE 7 self-care behaviors. Diabetes Educ 34: 445–449. [Crossref]
  7. Ministry of Health (2004) Health in Iraq: The Current Situation, Our Vision for the Future and Areas of Work. 2nd ed.
  8. Krebs JD, Parry-Strong A, Gamble E, McBain L, Bingham LJ, et al. (2013) A structured, group-based diabetes self-management education (DSME) programme for people, families and whanau with type 2 diabetes (T2DM) in New Zealand: an observational study. Prim Care Diabetes 7: 151–158. [Crossref]
  9. Gamboa Moreno E, Sánchez Perez Á, Vrotsou K, Ortiz JCA, Pena EDC, et al. (2013) Impact of a selfcare education programme on patients with type 2 diabetes in primary care in the Basque Country. BMC Public Health 13: 521. [Crossref]
  10. Moghadam ST, Najafi SS, Yektatalab S (2018) The effect of self-care education on emotional intelligence and hba1c level in patients with type 2 diabetes mellitus: a randomized controlled clinical trial. Int J Community Based Nurs Midwifery 6: 39–46. [Crossref]
  11. Beck J, Greenwood DA, Blanton L, Bollinger ST, Butcher MK, et al. (2017) 2017 National Standards for Diabetes Self-Management Education and Support. Diabetes Educ 43: 449–464. [Crossref]
  12. Mikhael EM, Hassali MA, Hussain SA, Shawky N (2019) Self-management knowledge and practice of type 2 diabetes mellitus patients in Baghdad, Iraq: a qualitative study. Diabetes Metab Syndr Obes 12: 1-17. [Crossref]
  13. World Health Organization (2018) Diabetes. Geneva, Switzerland: World Health Organization.
  14. Informed Health.org (2008) Type 2 Diabetes: Overview. Cologne, Germany: Institute for Quality and Efficiency in Health Care (IQWiG).
  15. Hu FB (2011) Globalization of diabetes: the role of diet, lifestyle, and genes. Diabetes Care 34: 1249-1257. [Crossref]
  16. International Diabetes Federation. Chapter 3. (2017) The global picture. In: Diabetes Atlas. 8th ed Brussels, Belgium: International Diabetes Federation.
  17. Abusaib M, Ahmed M, Nwayyir HA, Alidrisi HA, et al. (2020) Iraqi experts consensus on the management of type 2 diabetes/prediabetes in adults. Clinical Medicine Insights: Endocrinology and Diabetes. 13: 1179551420942232.
  18. Mansour AA, Al-Maliky AA, Kasem B, Jabar A, Mosbeh KA (2014) Prevalence of diagnosed and undiagnosed diabetes mellitus in adults aged 19 years and older in Basrah, Iraq. Diabetes Metab Syndr Obes 7: 139-144. [Crossref]
  19. Self-Monitoring of Blood Glucose. Available at: Self-Monitoring of Blood Glucose | Diabète Québec (diabete.qc.ca).
  20. Haus JM, Solomon TP, Marchetti CM, Edmison JM, Gonzalez F, et al. (2010) Free fatty acid-induced hepatic insulin resistance is attenuated following lifestyle intervention in obese individuals with impaired glucose tolerance. J Clin Endocrinol Metab 95: 323-327. [Crossref]
  21. Alsulaiman TA, Al-Ajmi HA, Al-Qahtani SM, Fadlallah IM, Nawar NE, et al. (2016) Control of type 2 diabetes in KingAbdulaziz Housing City (Iskan) population, Saudi Arabia. J Fam Community Med 23: 1-5. [Crossref]
  22. American Diabetes Association (2015) 4. Foundations of care: education, nutrition, physical activity,smoking cessation, psychosocial care, and immunization. Diabetes Care 38: 20-30.
  23. Abdulwahid NA (2016) Registry study for type 2 diabetes mellitus in a diabetic center in SaudiArabia with comparative analysis for controlled versus uncontrolled cases. J Endocrinol Diab 3: 1-6.
  24. Burden of uncontrolled hyperglycemia and its association with cardiovascular risk in the city of Philadelphia (2019)
  25. Jain N, Agarwal M, Kadaria D, Steinberg HS, Dagogo-Jack S (2018) National trends and outcomes inpatients with uncontrolled diabetes and related complications.
  26. Navarro-Pérez J, Orozco-Beltran D, Gil-Guillen V, Pallares V, Valls F, et al. (2018) Mortality and cardiovascular diseaseburden of uncontrolled diabetes in a registry-based cohort: the ESCARVAL-risk study. BMC Cardiovasc Disord 18: 180. [Crossref]
  27. Alaboud AF, Tourkmani AM, Alharbi TJ, Alobikan AH, Abdelhay O, et al. (2016) Microvascular and macrovascularcomplications of type 2 diabetic mellitus in Central, Kingdom of Saudi Arabia. Saudi Med J 37: 1408-1411. [Crossref]
  28. Chatterjee S, Davies MJ, Heller S, Speight J, Snoek FJ, et al. (2018) Diabetes structured self-management education programmes: a narrative review and current innovations. Lancet Diabetes Endocrinol 6: 130-142. [Crossref]
  29. Powers MA, Bardsley J, Cypress M, Duker P, Funnell MM, et al. (2017) Diabetes self-management education and support intype 2 diabetes: a joint position statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics. Clin Diabetes 34: 70–80. [Crossref]
  30. Chrvala CA, Sherr D, Lipman RD (2016) Diabetes self-management education for adults with type 2diabetes mellitus: a systematic review of the effect on glycemic control. Patient Educ Couns 99: 926-943. [Crossref]
  31. Sukkarieh-Haraty O, Bassil M, Egede LE (2018) Results of a culturally tailored multidisciplinary intervention on diabetes self-care and glycemic outcome in Lebanese patients with type 2diabetes. Am Diabetes Assoc.
  32. Chow N, Shearer D, Plaa JA, Pottinger B, Pawlowska M, et al. (2016) Blood glucose self-monitoring and internet diabetes management on A1C outcomes in patients with type 2 diabetes. BMJ Open Diabetes Res Care 4: e000134. [Crossref]
  33. Tildesley HD, Mazanderani AB, Ross SA (2010) Effect of internet therapeutic intervention on HbA1C levels in patients with type2 diabetes treated with insulin. Diabetes Care 33: 1738-1740. [Crossref]
  34. Rubin KH, Glintborg D, Nybo M, Abrahamsen B, Andersen M (2017) Development and risk factors of type 2 diabetes in a nationwide population of women with polycystic ovary syndrome. J Clin Endocrinol Metab 102: 3848–3857. [Crossref]
  35. Bellou V, Belbasis L, Tzoulaki I, Evangelou E (2018) Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses. PLoS One 13: 1–27. [Crossref]
  36. Yaseen YO, Atyia JJ (2018) Facts about type 2 diabetes mellitus and its control in Misan Governorate. Single-center experience. Med J Basrah Univ 36: 81–86.
  37. Mahmood S, Abolhab R, Mohamed M (2015) Prevalence of Prediabetes Among Adults in Baghdad/Iraq. Iraqi J Med Sccience 213: 137–142.
  38. Mansour A, Al Douri F (2015) Diabetes in Iraq: Facing the epidemic. A Syst Rev Wulfenia J 22: 258–273.
  39. Sadiya A, Mnla R (2019) Impact of food pattern on glycemic control among type 2 diabetic patients: A cross-sectional study in the United Arab Emirates. Diabetes Metab Syndr Obes Targets Ther 12: 1143–1150. [Crossref]
  40. Karaoui LR, Deeb ME, Nasser L, Hallit S (2018) Knowledge and practice of patients with diabetes mellitus in Lebanon: A cross-sectional study. BMC Public Health 18: 525. [Crossref]
  41. Abouammoh NA, Alshamrani MA (2020) Knowledge about Diabetes and Glycemic Control among Diabetic Patients in Saudi Arabia. J Diabetes Res 2020: 1239735. [Crossref]
  42. Sami W, Ansari T, Butt NS, Rashid M, Hamid A (2015) Effect Of Diet Counseling On Type 2 Diabetes Mellitus. Int J Health Sci (Qassim)11: 65-71. [Crossref]
  43. Lee B-W, Kim JH, Ko SH, Hur KY, Kim NH, et al. (2017) Insulin therapy for adult patients with type 2 diabetes mellitus: a position statement of the Korean Diabetes Association, 2017. Diabetes Metab J 41: 367-373. [Crossref]
  44. Kjome RLS, Granas AG, Nerhus K, Roraas TH, Sandberg S (2010) The prevalence of self-monitoring of blood glucose and costs of glucometer strips in a nationwide cohort. Diabetes Technol Ther 12: 701–705. [Crossref]
  45. Babaniamansour S, Aliniagerdroudbari E, Niroomand M (2020) Glycemic control and associated factors among Iranian population with type 2 diabetes mellitus: a cross-sectional study. J Diabetes Metab Disord 19: 933–940. [Crossref]
  46. Farhan SA, Shaikh AT, Zia M, Kahara BR, Muneer R, et al. (2017) Prevalence and Predictors of Home Use of Glucometers in Diabetic Patients. Cureus 9 :e1330. [Crossref]
  47. Nyomba BLG, Berard L, Murphy LJ (2002) The cost of self-monitoring of blood glucose is an important factor limiting glycemic control in diabetic patients. Diabetes Care 25: 1244–1245. [Crossref]
  48. Tenderich A (2013) Use of blood glucose meters among people with type 2 diabetes: Patient perspectives. Diabetes Spectr 26: 67–70.
  49. Cordts S (2012) Self-Monitoring of Blood Glucose in Patients with Type 2 Diabetes Not Using Insulin. Am Fam Physician 85: 866–867. [Crossref]
  50. Polonsky WH, Fisher L (2013) Self-monitoring of blood glucose in noninsulin-using type 2 diabetic patients: right answer, but wrong question: self-monitoring of blood glucose can be clinically valuable for noninsulin users. Diabetes Care 36: 179–182. [Crossref]
  51. Alhaiti AH, Senitan M, Dator WLT, Sankarapandian C, Baghdadi NA, et al. (2020) Adherence of Type 2 Diabetic Patients to Self-Care Activity: Tertiary Care Setting in Saudi Arabia. J Diabetes Res 20: 1–7. [Crossref]
  52. Muchmore DB, Springer J, Miller M (1994) Self-monitoring of blood glucose in overweight type 2 diabetic patients. Acta Diabetol 31: 215–219. [Crossref]
  53. Ong WM, Chua SS, Ng CJ (2014) Barriers and facilitators to self-monitoring of blood glucose in people with type 2 diabetes using insulin: A qualitative study. Patient Prefer Adherence 8: 237–246. [Crossref]
  54. Mohammed-Ali BR, Hamza R (2016) Assessment of Self-Care Activities for Patients with Diabetes Mellitus Type II. Int J Sci Res Publ 6: 425–434.
  55. Gomes MB, Tannus LRM, Cobas RA, Matheus ASM, Dualib P, et al. (2013) Determinants of self- monitoring of blood glucose in patients with Type 1 diabetes: a multi-centre study in Brazil. Diabet Med 30: 1255–1262. [Crossref]
  56. Raoufi AM, Tang X, Jing Z, Zhang X, Xu Q, et al. (2018) Blood glucose monitoring and its determinants in diabetic patients: A cross-sectional study in Shandong, China. Diabetes Ther 9: 2055–2066. [Crossref]
  57. Scorpiglione N, El-Shazly M, Abdel-Fattah M, Belfiglio M, Cavaliere D, et al. (2018) Determinants of blood glucose self-monitoring in clinical practice. J Med Surg Pract 34: 115–125.
  58. Sadiq MA, Salih AA (2018) Knowledge and attitude about sweeteners among type 2 diabetic patients. Arch Intern Med Res 1: 1-5.

Editorial Information

Editor-in-Chief

Article Type

Research Article

Publication history

Received date: June 16, 2021
Accepted date: June 28, 2021
Published date: June 30, 2021

Copyright

©2021 Salih AA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Salih AA, Sadiq MA, Rayed MH (2021) Self-monitoring of blood glucose, practices, and determinants in type 2 diabetics. Prev Med Commun Health 4: 10.15761/PMCH.1000157.

Corresponding author

Alaa A Salih

Assistant professor, University of Mustansiriyah-Faculty of Medicine, Family and Community Medicine Department, Baghdad/Iraq

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Table 1. Socio-demographic characteristics of the studied group(N=428).

Variable

No.

%

Age (year)

18-29

89

20.8

30 - 39

92

21.5

40 - 49

84

19.6

50-59

88

20.6

≥60

75

17.5

Gender

Male

192

44.9

Female

236

55.1

Marital state

Married

354

82.7

Unmarried

61

14.3

Divorced/Widow

13

3.0

Occupation

Employed

144

33.6

Unemployed

284

66.4

Education

Illiterate

38

8.9

Primary

96

22.4

Secondary

131

30.6

College

108

25.2

Higher

55

12.9

Comorbidities

Hypertension

50

11.7

Heart disease

18

4.2

Others

21

4.9

None

339

79.2

Family history of DM*

Yes

170

39.7

No

258

60.3

Duration of DM (years)

3 - 5

171

40.0

6 - 10

165

38.6

> 10

92

21.5

Treatment

OHG*

383

89.5

OHG +Insulin

45

10.5

Total

428

100.0

DM: diabetes mellitus, OHG: oral hypoglycemic agent

Table 2. Diabetes Management and follow-up related variable of the studied group (N=428).

Variable

No.

%

Follow a diabetes diet

Yes

315

73.6

No

113

26.4

Take medication regularly

Yes

361

84.3

No

67

15.7

Follow up health conditions regarding diabetes with a doctor

Yes

351

82.0

No

77

18.0

Total

428

100.0

Table 3. Distribution of the studied group according to the use of Glucometer device and times.

Variable

Category

No.

%

Use a glucometer

Currently use

316

73.8

Previously use

68

15.9

No

44

10.3

Total

428

100.0

How often do you use the device

More than Once/day

33

8.6

Daily

29

7.6

2-4 times weekly

89

23.2

Weekly

89

23.2

Irregular

144

37.5

Total

384

100.0

Table 4. Practices of the glucometer users (N=384).

Variable

Category

No.

%

Changing the device

Yes

305

79.4

No

79

20.6

Calibrate the device with the laboratory

Yes

170

44.3

No

214

55.7

Change the lancet

At each test

345

89.8

Frequently/on each other testing

39

10.2

Sharing the device with someone else

Yes

20

5.2

No

364

94.8

Total

384

100.0

Table 5. Distribution of sample according to the instructors and reason of glucometer use (N=384).

Variable

Category

No.

%

Advisor to use the device

Doctor

92

24.0

Family member

179

46.6

Someone else

113

29.4

Taughtor to use the

device

Doctor

148

38.5

Family member

156

40.6

Someone else

80

20.8

Reason to do the test

Before taking insulin

23

6.0

To find out the level of

diabetes

166

43.2

To monitor my sugar levels

164

42.7

At the doctor's direction

31

8.1

Total

384

100.0

Table 6. Distribution of sample according to doing and reading results of glucometer (N=384).

Variable

Category

No.

%

Doing the test him/herself

Yes

288

75.0

No

96

25.0

If did not do the test him/herself, who would do it?

Family member

77

80.2

Someone else

19

19.8

Reading the results

His/herself

281

73.2

Family member

84

21.9

Someone else

19

4.9

Total

384

100.0

Table 7. Distribution of sample according to the timing, follow up doctor advices and confidence in results of the test (N=384).

Variable

Category

No.

%

Having a specific time to take the test

Yes

134

33.7

No

264

66.3

Doing a test only when feel symptoms

Yes

238

62.0

No

146

38.0

Follow the doctor's advice when making the test

Yes

138

35.9

No

246

64.1

Confidence in the results of the test

Yes

351

91.4

No

33

8.6

Total

384

100.0

Table 8. Distribution of sample according to their attitude toward the glucometer test (N=384).

 

Variable

Yes

No

No.

%

No.

%

Feel the test is Painful

48

12.5

336

87.5

Getting tested in front of others is

embarrassing

70

17.9

320

82.1

Test strips financially expensive

119

31.0

265

69.0

Follow the user guide instructions for the

device

324

84.4

60

15.6

Table 9. Actions taken by sample on getting abnormal or error in test results (N=384).

Variable

Category

No.

%

Action taken when the results are abnormal (very high / very low)

Recheck

195

50.8

Examine in the laboratory

82

21.4

Stop / repeat treatment

43

11.2

Go to the hospital

24

6.3

See a doctor

23

6.0

Call a doctor

12

3.1

I'm not doing anything

5

1.3

Action taken on seeing an error in reading (No result appears)

Recheck

322

83.9

Examine in the laboratory

47

12.2

Not doing anything

15

3.9

Total

384

100.0

Table 10. Descriptive statistics of blood glucose self-monitoring (BGSM) score of the study participants (N=428).

Statistics

BGSM score

Mean

10.2

Standard Deviation

3.3

Median

11

Interquartile range (IQR)

9 - 12

Minimum

1

Maximum

15

Table 11. Distribution of the study participants according to the level of BGSM level (N=428)

BGSM

No.

%

Good

262

61.2

Poor

166

38.8

Total

428

100.0

Table 12. Results of Bivariate correlation analysis between BGSM score and other variables of the studied group (N = 428).

 

Indices of correlation with

BGSM score

R

P. value

Age

0.217

0.0001*

Male gender

0.026

0.592

Marital state

0.361

0.0001*

Occupation

0.097

0.046

Education

0.096

0.047*

Comorbidities

-0.037

0.439

Family history of DM

-0.025

0.606

Duration

0.168

0.0001*

Treatment

-0.075

0.122

Use a glucometer

0.665

0.0001*

*significant correlation

Spearman’s test was applied.