Skip to main content
Chinese Medical Journal logoLink to Chinese Medical Journal
. 2017 Jan 5;130(1):39–44. doi: 10.4103/0366-6999.196574

Behavioral Analysis of Chinese Adult Patients with Type 1 Diabetes on Self-monitoring of Blood Glucose

Zhao-Yi Qin 1,2,3, Jin-Hua Yan 1,2,3,, Dai-Zhi Yang 1,2,3, Hong-Rong Deng 1,2,3, Bin Yao 1,2,3, Jian-Ping Weng 1,2,3; on behalf of the Guangdong Type 1 Diabetes Mellitus Translational Study Group
PMCID: PMC5221109  PMID: 28051021

Abstract

Background:

The information-motivation-behavioral skills (IMB) model of health behavior is an effective tool to evaluate the behavior of diabetes self-management. The purpose of this study was to explore behavioral factors affecting the practice of self-monitoring of blood glucose (SMBG) within the frame of IMB model of health behavioral among adult patients with type 1 diabetes in a single diabetes clinic in China.

Methods:

A questionnaire with three subscales on SMBG information, motivation, and behavioral skills based on IMB model was developed. Validity and reliability of the measures were examined and guaranteed. Adult patients with type 1 diabetes visiting our diabetes clinic from January to March 2012 (n = 55) were consecutively interviewed. The self-completion questionnaires were administered and finished at face-to-face interviews among these patients. Both descriptive and correlational analyses were made.

Results:

Fifty-five patients finished the questionnaires, with the median duration of diabetes 4.5 years and the median of SMBG frequency 2.00. Specific SMBG information deficits, motivation obstacles, and behavioral skill limitations were identified in a substantial proportion of participants. Scores of SMBG motivation (r = 0.299, P = 0.026) and behavioral skills (r = 0.425, P = 0.001) were significantly correlated with SMBG frequency. The multiple correlation of SMBG information, SMBG motivation, and SMBG behavioral skills with SMBG frequency was R = 0.411 (R2 = 0.169, P = 0.023).

Conclusions:

Adult patients with type 1 diabetes in our clinic had substantial SMBG information deficits, motivation obstacles, and skill limitations. This information provided potential-focused education targets for diabetes health-care providers.

Keywords: Information-motivation-behavioral Skills Model, Self-monitoring of Blood Glucose, Type 1 Diabetes

Introduction

Self-monitoring of blood glucose (SMBG) provides real-time glucose readings for insulin and diet/exercise adjustments, and thus plays an important role in diabetes management for insulin-treated patients.[1,2] Its role in type 1 diabetes is well recognized and is recommended to practice at a certain frequency in different guidelines.[1,2,3,4] However, as a voluntary behavior, the practice of SMBG among patients with type 1 diabetes is not satisfactorily implemented. Many studies have shown a significant gap between recommended SMBG utilization and the real-world practice.[5,6,7]

Previous studies shown that many factors have been associated with the frequency of SMBG practice, including gender,[5,6] age of onset,[8,9] length of time since diagnosis,[5,10] insulin regimen,[9] economic status,[5,11] and insurance coverage.[7,12] However, these observational studies were not conceptually integrated and did not reveal the ultimate elements generating SMBG behavior, thus hardly suggested any actionable intervention target. A more integrated and systemic method is required to better understand SMBG behavior and to provide directions for practical interventions.

The information-motivation-behavioral skills (IMB) model of health behavior is a well-researched theoretical model derived from behavioral science.[13] The model has been widely applied in both observation and intervention studies of HIV risk behaviors and antiretroviral therapy adherence and is known to be an effective tool in this field.[14,15,16] Recently, other fields of health care related to health behaviors,[17,18,19] especially those have a lot to do with self-management like diabetes,[20,21] have been exploring the use of this successful model.

Guided by IMB model of health behavior, this questionnaire-based survey was designed to study SMBG behavior systemically among a sample of Chinese adult patients with type 1 diabetes.

Methods

Subjects

Participants were selected from the Guangdong Type 1 Diabetes Mellitus Translational Medicine Study,[22] of which our diabetes clinic is one of the 16 registry centers. Adult (older than 18 years) patients with type 1 diabetes visiting our diabetes clinic from January to March 2012 (n = 63) were consecutively interviewed, except for those newly diagnosed patients (duration <3 months) (n = 6), pregnant patients (n = 2), and patients with severe complications or comorbidities that could not cooperate with the survey (n = 0). Altogether, 55 patients were interviewed, and all of them finished the questionnaire, response rate 100%. Clinical characteristics and frequency of SMBG practicing were collected. The study was approved by the Ethics Committees of the Third Affiliated Hospital of Sun Yat-sen University, and written informed consent was obtained from all participants.

Measures

Measure development

Guided by the theory of IMB model, and referring to an English version of IMB-SMBG questionnaire, a team of endocrinologists together built an IMB-SMBG questionnaire in Chinese. Specific steps are listed in Table 1. Sample items from each section (translated from Chinese) are shown in Table 2.

Table 1.

Steps of developing the IMB-SMBG questionnaire

Steps Contents
Step 1 Specified three subscales of the questionnaire
 Information module: Measure the individual’s information relevant to SMBG practice, including purpose of the behavior, recommended frequency and patterns, interpretation of the readings, and proper response actions
 Motivation module: Measure positive personal beliefs and attitudes toward the SMBG practice and its outcome, and perceived social support for SMBG practice
 Behavioral skills module: Measure the abilities to self-cue SMBG, to accomplish the practice and to engage in effective response actions based on testing results
Step 2 Wrote concrete measures on the three part, discussed and revised
 Foundation: Most of the items were revised from an established set of measures developed by the modeler Fisher et al.[23] Taken into account differences in cultures and health-care environments, certain changes to the items were made accordingly
 Evaluation index: 5-point Likert scale from strongly agree to strongly disagree was adopted for answers of all items, with lower score indicating higher degree of information/motivation/skill insufficiency
Step 3 Pretest
 Specific process: Three patients with Type 1 diabetes and two diabetes educators did a pretest to evaluate the questionnaire for its expression clarity, content appropriateness, and representativeness
 Items: 30 items on information, 25 items on motivation, and 21 items on SMBG skills, altogether 76 items

SMBG: Self-monitoring of blood glucose; IMB: Information-motivation-behavioral skills.

Table 2.

Sample items from each section of the IMB-SMBG questionnaire

Items 1 (strongly agree) 2 (somewhat agree) 3 (neutral) 4 (somewhat disagree) 5 (strongest disagree)
Section I: Information
 1. I don’t know why do I need to test my blood sugar every day 1 2 3 4 5
 2. I don’t have to test my blood sugar every day now since I get HbA1c 1 2 3 4 5
Section II: Motivation
 Part A: Personal attitudes
  1. It is a constant reminder that I have diabetes every time I test my blood sugar 1 2 3 4 5
  2. It is too expensive to test my blood sugar as often as my doctor recommended 1 2 3 4 5
 Part B: Social support
  1. My husband or wife knows that I have type 1 diabetes 1 2 3 4 5
  2. My husband or wife thinks that I should test my blood sugar as often as my doctor recommended 1 2 3 4 5
Section III: Behavioral skills
 1. It is inconvenient for me to buy meters/test strips 1 2 3 4 5
 2. It is painful when I test my blood sugar 1 2 3 4 5

SMBG: Self-monitoring of blood glucose; IMB: Information-motivation-behavioral skills.

Validity and reliability examination

The first 15 respondents were invited during a diabetes event at our hospital to complete the same questionnaire again 1–3 weeks away from their initial test. The retest response rate was 100%. Test–retest reliability was evaluated using interclass correlation coefficient, which was greater than 0.80 for the total scale (0.92) and the three subscales (0.91, 0.93, and 0.85, respectively), indicating good reliability. Cronbach's alpha, used to test internal consistency, was greater than 0.80 for all subscales (0.86, 0.87, and 0.83, respectively), indicating the scale is internally consistent. Content validation was examined based on correlations between item score and total score of each subscale, proving items had stronger correlation with their own domain (r > 0.50 for 70% of the items, P < 0.001) than the other two.

Questionnaire administration

All respondents completed the questionnaire at the same clinical setting, which was a separate quiet examination room with desks and chairs. Two interviewers were trained before the study to standardize the interview process and interviewed the 55 patients (70 person-times) throughout the study. Brief introduction and necessary explanations about the study purpose and design were given first, written consent was obtained afterward, and then the questionnaire was delivered to the patient for self-completion.

Statistical analysis

Negative (incorrect) and neutral responses to statements in information and motivation sections were coded as “deficient.” Negative responses to statements in behavioral skills section were coded as “deficient.” For each item, proportions of patients that were “deficient” in that particular information/motivation/skill were described. Spearman's correlation was used to analyze relationships between each module and SMBG frequency as well as interrelationships between the three modules. Multiple correlation analysis was used to evaluate the impact of SMBG information, motivation, and behavioral skills as a whole on SMBG frequency.

Results

Sample characteristics and practice of self-monitoring of blood glucose

Clinical characteristics of the survey participants are shown in Table 3. The median of the average SMBG frequency was 2.00 (0.57, 3.00). The compliance rate of the American Diabetes Association recommendation (to test at least three times daily) was 36.4%, 27.3% of participants tested less often than once a day, 5.4% (n = 3) reported they barely practice SMBG.

Table 3.

Characteristics of the survey participants

Items Results
n 55
Age (years) 28.0 (24.0, 38.0)
Female, n (%) 34 (61.8)
BMI (kg/m2) 20.8 ± 2.2
Education level, n (%)
 College and higher 35 (63.6)
 Middle school 17 (30.9)
 Primary and lower 3 (5.5)
Years since diagnosed 4.5 (2.0, 11.0)
Insulin regimen, n (%)
 CSII 24 (43.6)
 MDI 25 (45.5)
 Premix insulin injection twice 6 (10.9)
Insulin dosage (U/kg) 0.68 ± 0.19
HbA1c (%) (mmol/mol) 7.7 ± 1.7 (61 ± 5)

BMI, insulin dosage (U/kg), and HbA1c were normally distributed variables: Mean ± SD; age, years since diagnosis were nonnormally distributed variables: Median (25th percentile, 75th percentile); gender, education level, and insulin program were categorical variables: n (%). BMI: Body mass index; CSII: Continuous subcutaneous insulin infusion; MDI: Multiple daily injection; SD: Standard deviation.

The information-motivation-behavioral skills analysis

SMBG information deficits, motivation obstacles, and behavioral skill limitations were identified in a substantial proportion of participants [Table 4], of which the most prevalent deficits/obstacles/limitations included: The meaning of high blood sugar before exercises (not understood in 50.9% of participants), kind of food that should be taken when blood sugars was low (47.3%); views of the cost of testing being “too expensive” (85.5%) or “painful” (72.7%) if adhered to the doctor's recommendation; feeling difficult to talk with colleges about diabetes (63.6%) and to buy test strips conveniently (58.2%).

Table 4.

SMBG information, motivation, and skills deficits among adult patients with type 1 diabetes

Items Information/motivation/behavioral skills Deficient (%)
Information section
a19 I could do more exercise when my blood sugar is very high 50.9
a23 I need to eat protein when my blood sugar is low 47.3
a3 My body feels it when my blood sugar is high or low without me testing it 43.6
a18 I know how to find out my blood sugar patterns from the monitoring data 40.0
a2 I don’t have to test my blood sugar every day now since I get HbA1c 20.0
a12 I know how often I should test my blood sugar 18.2
a21 If the tested blood sugar is high, I can increase my insulin dosage 18.2
a16 I know how to react when my tested blood sugar is high 16.4
a4 I don’t think that diet and exercise can do much to my blood sugar 14.5
a9 I don’t think it is very important to record all my testing results 14.5
Motivation section
b1 It is too expensive to test my blood sugar as often as my doctor recommended 85.5
b2 It is too painful to test my blood sugar as often as my doctor recommended 72.7
b3 It is unpleasant to test my blood sugar as often as my doctor recommended 56.4
b5 It makes me feel more anxiety to test my blood sugar as often as my doctor recommended 56.4
b20 It would affect my working to test my blood sugar as often as my doctor recommended 54.5
b7 It consumes too much time to test my blood sugar as often as my doctor recommended 52.7
b18 It interferes with many aspects of my life to test my blood sugar as often as my doctor recommended 52.7
b22 My workmates think I should test my blood sugar as often as my doctor recommended 50.0
b19 It would interfere with many things I like to do if I test my blood sugar as often as my doctor recommended 43.6
B23 My friends think I should test my blood sugar as often as my doctor recommended 41.8
Behavioral skill section
c9 I feel difficult to talk about having diabetes with my workmates 63.6
c1 It is very inconvenient for me to buy test strips 58.2
c4 It usually hurts when I test my blood sugar 58.2
c5 It is difficult for me to keep the meter available whenever I need to use it 58.2
c8 I feel difficult to talk about having diabetes with my friends easily 52.7
c16 I know how to use all the functions of my meter 47.3
c18 I know how to seek help from my doctor for blood sugar monitoring 41.8
c17 I know what information in my meter I should bring to my doctor when I visit him/her 38.2
c20 I know how to talk to my doctor about my blood sugar monitoring records even if he/she doesn’t ask 38.2
c2 I often run out of test strips 30.9

SMBG: Self-monitoring of blood glucose.

The relationship between information-motivation-behavioral skills’ scores and self-monitoring of blood glucose frequency

Scores of SMBG motivation (r = 0.299, P = 0.026) and behavioral skills (r = 0.425, P = 0.001) were significantly correlated with SMBG frequency while score of SMBG information was not (r = 0.255, P = 0.060). Figure 1 shows the relationship between each module and the frequency of SMBG and interrelationship between the modules. The multiple correlation of SMBG information, SMBG motivation, and SMBG behavioral skills with SMBG frequency was R = 0.411 (R2 = 0.169, P = 0.023). SMBG information, motivation, and skills together accounted for 16.9% of the variation in SMBG frequency among our participants.

Figure 1.

Figure 1

Correlations between modules of the IMB-SMBG model and SMBG frequency (*P < 0.05, P < 0.01). IMB: Information-motivation-behavioral skills; SMBG: Self-monitoring of blood glucose.

Discussion

Guided by the IMB model, the current study developed an SMBG questionnaire, carried out a survey among adult patients with type 1 diabetes in our hospital, and disclosed considerable deficiencies in SMBG information, personal attitudes, and social support in regard to SMBG, and SMBG performing skills among surveyed population. Over half of the patients deemed it was OK to increase exercises when blood glucose is very high. Nearly half of the patients had wrong ideas about the kind of food that should be taken when blood glucose is low and were not against the idea of “feel” the blood sugar without testing. One-fifth did not understand the different meanings of HbA1c and SMBG results and the necessity to practice both. More than half of the patients found that practicing SMBG as recommended would be too expensive, painful, unpleasant, causing anxiety, or interfering with their work. A considerable proportion of patients did not feel support of regular SMBG from surrounding and/or important people. Behavioral skill obstacles mainly included difficulties in talking about having diabetes with workmates and friends, buying test strips conveniently, practicing SMBG painlessly, and keeping glucose meter available. Correlation analysis showed significant correlation between SMBG motivation and frequency as well as between SMBG skill and frequency, and the latter correlation was stronger, suggesting that behavior skills were ultimately the most closely associated factors with SMBG behavior.

The deficiencies revealed were similar with the findings in an earlier study[23] carried out among the US citizens with type 1 diabetes, but with a substantial higher proportion of patients having them, especially in the sections of motivation and behavioral skills. In that particular study, mean adherence to recommended SMBG frequency was 90% (n = 208), much higher than the 36.4% recommendation adherence in this study. As could be expected, the mean HbA1c level was lower in the US study than that in this study, 7.3% (56 mmol/mol) versus 7.7% (61 mmol/mol).

All behavioral factors could not be encompassed within one single theoretical model. The IMB model emphasizes the subjective perspectives from the patients without studying the objective requisite conditions in performing the behavior, making it less fitting in study settings where requisite requirements cannot be met at first place. For SMBG behavior, such requirements might include possessing a glucose meter, having been recommended a proper blood glucose monitoring pattern and frequency by a professional, having the basic economic condition or insurance coverage to pay for the monitoring supplies, and reach ability of a diabetes doctor to discuss over the glucose monitoring results. Thus, future studies in attempt to observe or improve SMBG practice among diabetes patients, these and maybe other prerequisites should be investigated in the beginning, especially in developing areas.

Most of the participants in this survey (54/55) were from Guangzhou city, a relatively developed district in China. The study may be relatively more helpful for diabetes educators in our clinic and other clinics in Guangzhou. The results of this study cannot be extrapolated to patients from other districts with different economic and health-care environments. Another limitation lies in its observational nature. Interventional research in this area remains to be carried out.

In conclusion, the study shown that adult patients with type 1 diabetes in our clinic had substantial SMBG information deficits, motivation obstacles, and skill limitations. These deficiencies accounted for a respectable proportion of the variation in SMBG frequency, which may provide potential-focused education targets for diabetes health-care providers.

Financial support and sponsorship

This work was supported by grants from the Sun Yat-sen University Clinical Research 5010 Program (No. 2007030), the Science and Technology Planning Project of Guangdong Province (No. 2014A020212065, No. 2015A030401034), and the Chinese National Natural Science Foundation (No. 81100556).

Conflicts of interest

There are no conflicts of interest.

Acknowledgment

We would like to thank all the doctors, nurses, technicians, and patients for their dedication to this study.

Footnotes

Edited by: Li-Shao Guo

References

  • 1.Chinese Diabetes Society. CDS guideline for blood glucose monitoring (2011 Version) Chin J Diabetes Mellitus. 2011;3:13–21. doi: 10.3760/cma.j.issn.1674-5809.2011.01.004. [Google Scholar]
  • 2.American Diabetes Association. Executive summary: Standards of medical care in diabetes-2012. Diabetes Care. 2012;35(Suppl 1):S4–S10. doi: 10.2337/dc12-s004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.IDF/ISPAD 2011 Global Guideline for Diabetes in Childhood and Adolescence. [Last accessed on 2016 Jun 28]. Available from: http://www.idf.org/guideline-diabetes-childhood .
  • 4.Handelsman Y, Mechanick JI, Blonde L, Grunberger G, Bloomgarden ZT, Bray GA, et al. American Association of Clinical Endocrinologists Medical Guidelines for Clinical Practice for developing a diabetes mellitus comprehensive care plan. Endocr Pract. 2011;17(Suppl 2):1–53. doi: 10.4158/ep.17.s2.1. doi: 10.4158/EP.17.S2.1. [DOI] [PubMed] [Google Scholar]
  • 5.Karter AJ, Ferrara A, Darbinian JA, Ackerson LM, Selby JV. Self-monitoring of blood glucose: Language and financial barriers in a managed care population with diabetes. Diabetes Care. 2000;23:477–83. doi: 10.2337/diacare.23.4.477. doi: 10.2337/diacare.23.4.477. [DOI] [PubMed] [Google Scholar]
  • 6.Hansen MV, Pedersen-Bjergaard U, Heller SR, Wallace TM, Rasmussen AK, Jørgensen HV, et al. Frequency and motives of blood glucose self-monitoring in type 1 diabetes. Diabetes Res Clin Pract. 2009;85:183–8. doi: 10.1016/j.diabres.2009.04.022. doi: 10.1016/j.diabres.2009.04.022. [DOI] [PubMed] [Google Scholar]
  • 7.Lecomte P, Romon I, Fosse S, Simon D, Fagot-Campagna A. Self-monitoring of blood glucose in people with type 1 and type 2 diabetes living in France: The Entred study 2001. Diabetes Metab. 2008;34:219–26. doi: 10.1016/j.diabet.2007.11.005. doi: 10.1016/j.diabet.2007.11.005. [DOI] [PubMed] [Google Scholar]
  • 8.Guilfoyle SM, Crimmins NA, Hood KK. Blood glucose monitoring and glycemic control in adolescents with type 1 diabetes: Meter downloads versus self-report. Pediatr Diabetes. 2011;12:560–6. doi: 10.1111/j.1399-5448.2010.00735.x. doi: 10.1111/j.1399-5448.2010.00735.x. [DOI] [PubMed] [Google Scholar]
  • 9.Ziegler R, Heidtmann B, Hilgard D, Hofer S, Rosenbauer J, Holl R. DPV-Wiss-Initiative. Frequency of SMBG correlates with HbA1c and acute complications in children and adolescents with type 1 diabetes. Pediatr Diabetes. 2011;12:11–7. doi: 10.1111/j.1399-5448.2010.00650.x. doi: 10.1111/j.1399-5448.2010.00650.x. [DOI] [PubMed] [Google Scholar]
  • 10.Mbaezue N, Mayberry R, Gazmararian J, Quarshie A, Ivonye C, Heisler M. The impact of health literacy on self-monitoring of blood glucose in patients with diabetes receiving care in an inner-city hospital. J Natl Med Assoc. 2010;102:5–9. doi: 10.1016/s0027-9684(15)30469-7. doi: 10.1016/S0027-9684(15)30469-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Levine DA, Allison JJ, Cherrington A, Richman J, Scarinci IC, Houston TK. Disparities in self-monitoring of blood glucose among low-income ethnic minority populations with diabetes, United States. Ethn Dis. 2009;19:97–103. [PubMed] [Google Scholar]
  • 12.Vincze G, Barner JC, Lopez D. Factors associated with adherence to self-monitoring of blood glucose among persons with diabetes. Diabetes Educ. 2004;30:112–25. doi: 10.1177/014572170403000119. doi: 10.1177/014572170403000119. [DOI] [PubMed] [Google Scholar]
  • 13.Wagner J, Malchoff C, Abbott G. Invasiveness as a barrier to self-monitoring of blood glucose in diabetes. Diabetes Technol Ther. 2005;7:612–9. doi: 10.1089/dia.2005.7.612. doi: 10.1089/dia.2005.7.612. [DOI] [PubMed] [Google Scholar]
  • 14.Fisher JD, Fisher WA, Misovich SJ, Kimble DL, Malloy TE. Changing AIDS risk behavior: Effects of an intervention emphasizing AIDS risk reduction information, motivation, and behavioral skills in a college student population. Health Psychol. 1996;15:114–23. doi: 10.1037//0278-6133.15.2.114. doi: 10.1037/0278-6133.15.2.114. [DOI] [PubMed] [Google Scholar]
  • 15.Ferrer RA, Morrow KM, Fisher WA, Fisher JD. Toward an information-motivation-behavioral skills model of microbicide adherence in clinical trials. AIDS Care. 2010;22:997–1005. doi: 10.1080/09540121003623719. doi: 10.1080/09540121003623719. [DOI] [PubMed] [Google Scholar]
  • 16.Amico KR, Toro-Alfonso J, Fisher JD. An empirical test of the information, motivation and behavioral skills model of antiretroviral therapy adherence. AIDS Care. 2005;17:661–73. doi: 10.1080/09540120500038058. doi: 10.1080/09540120500038058. [DOI] [PubMed] [Google Scholar]
  • 17.Rivet Amico K. A situated-Information Motivation Behavioral Skills Model of Care Initiation and Maintenance (sIMB-CIM): An IMB model based approach to understanding and intervening in engagement in care for chronic medical conditions. J Health Psychol. 2011;16:1071–81. doi: 10.1177/1359105311398727. doi: 10.1177/1359105311398727. [DOI] [PubMed] [Google Scholar]
  • 18.Zarani F, Besharat MA, Sadeghian S, Sarami G. The effectiveness of the information-motivation-behavioral skills model in promoting adherence in CABG patients. J Health Psychol. 2010;15:828–37. doi: 10.1177/1359105309357092. doi: 10.1177/1359105309357092. [DOI] [PubMed] [Google Scholar]
  • 19.Zarani F, Besharat MA, Sarami G, Sadeghian S. An information-motivation-behavioral skills (IMB) model-based intervention for CABG patients. Int J Behav Med. 2012;19:543–9. doi: 10.1007/s12529-011-9193-2. doi: 10.1007/s12529-011-9193-2. [DOI] [PubMed] [Google Scholar]
  • 20.Osborn CY, Egede LE. Validation of an information-motivation-behavioral skills model of diabetes self-care (IMB-DSC) Patient Educ Couns. 2010;79:49–54. doi: 10.1016/j.pec.2009.07.016. doi: 10.1016/j.pec.2009.07.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Osborn CY, Rivet Amico K, Fisher WA, Egede LE, Fisher JD. An information-motivation-behavioral skills analysis of diet and exercise behavior in Puerto Ricans with diabetes. J Health Psychol. 2010;15:1201–13. doi: 10.1177/1359105310364173. doi: 10.1177/1359105310364173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Li J, Yang D, Yan J, Huang B, Zhang Y, Weng J Guangdong Type Diabetes Translational Study Group. Secondary diabetic ketoacidosis and severe hypoglycaemia in patients with established type 1 diabetes mellitus in China: A multicentre registration study. Diabetes Metab Res Rev. 2014;30:497–504. doi: 10.1002/dmrr.2547. doi: 10.1002/dmrr.2547. [DOI] [PubMed] [Google Scholar]
  • 23.Fisher WA, Kohut T, Schachner H, Stenger P. Understanding self-monitoring of blood glucose among individuals with type 1 and type 2 diabetes: An information-motivation-behavioral skills analysis. Diabetes Educ. 2011;37:85–94. doi: 10.1177/0145721710391479. doi: 10.1177/0145721710391479. [DOI] [PubMed] [Google Scholar]

Articles from Chinese Medical Journal are provided here courtesy of Wolters Kluwer Health

RESOURCES