Diabetes Spectrum
Volume 13 Number 2, 2000, Page 72
Nutrition FYI

Contribution of Medical Nutrition Therapy and Diabetes Self-Management Education to Diabetes Control as Assessed by
Hemoglobin A1c

Nedra K. Christensen, PhD, RD, Julianne Steiner, MS, RD, Jack Whalen, MD, PhD, FACE, and Roxane Pfister, MS


The American Diabetes Association reported in a November 1997 statistics report that diabetes mellitus affects 15.7 million people in the United States, comprising almost 6% of the population (8.2% of the total population over age 20, and 18.4% over age 65, with a distribution of 7.5 million men and 8.1 million women).1 Of this population, approximately one-third were undiagnosed.

Diabetes is characterized by insulin insufficiency, lack of insulin production, and/or resistance to insulin. Lack of glycemic control leads to hyperglycemia and is associated with a variety of serious complications, including retinopathy, nephropathy, neuropathy, and cardiovascular disease.

In 1992 alone, $45 billion were spent on the management of diabetes and treatment of its complications. There was an estimated additional cost of $47 billion for premature death, disability, and work loss, resulting in a total yearly cost of diabetes of $92 billion.1

Many studies have been conducted regarding the effectiveness of diabetes education.2-7 Although the methods used and outcomes observed have varied, these studies have clearly shown a beneficial effect of education on diabetes control and reduction of complications.

Of all the aspects of a diabetic regimen, patients have been least likely to comply with diet modifications. Travis8 reported that personal motivation, social support, continuity of care, and understanding of meal plans positively affect diabetes self-management. Emotional factors, a busy schedule, and holidays tend to negatively affect patients' self-care. Patients were more likely to follow meal plans when the importance of diet in glycemic control was stressed. Follow-up visits with a registered dietitian also increased compliance. There is, however, little documentation of the beneficial effects on diabetes control of medical nutrition therapy (MNT) given specifically by registered dietitians.

The purpose of this study was to determine the contribution of diabetes MNT and diabetes self-management education (DSME) by a dietitian in lowering hemoglobin A1c (HbA1c) values in individuals with type 1 or type 2 diabetes. A retrospective chart review was performed on patient medical records at three clinics that either had an American Diabetes Association-recognized education program or were in the process of applying for recognition. This study also conducted a correlation between patient self-perception of diabetes goal achievement and actual control as assessed by HbA1c values.

Methods and Procedures
Subjects included 102 patients (15 with type 1 diabetes and 87 with type 2 diabetes) who had been diagnosed with diabetes for 6 months or longer. Subjects were recruited from a hospital outpatient clinic (n = 9), a freestanding clinic (n = 29), and an endocrinology clinic (n = 64). Subjects were referred to a dietitian by their primary care physicians or were self-referred. Patients who were pregnant or who had end-stage renal disease were excluded.

The MNT provided to the participants was patterned after the American Dietetic Association/ Morrison Health Care protocols for type 1 and type 2 diabetes.9 Patients had a minimum of two visits with a dietitian, with the visits typically scheduled 2 weeks apart. Medical records were reviewed only for patients who had had diabetes for longer than 6 months (mean duration of diabetes 8.1 months) before the initial HbA1c measurements were taken for this study. The initial HbA1c was the measurement taken near the first visit with the dietitian, and the post-HbA1c level was the measurement taken approximately 3 months after the initial contact with the dietitian. (mean time between initial and post-dietitian HbA1c was 3.34 ± 1.1 months in 74% of the charts reviewed.)

Goal-setting to improve diabetes control or DSME was incorporated into the MNT provided. These goals were specific (e .g., exercise 3 times per week, consume 60 g carbohydrate per meal) and established by the patients. Patients rated their level of adherence to their goals on a 10-point Likert scale where one meant that the goal was not met at all and 10 indicated a high level of goal achievement.

Patients also rated their level of understanding of 13 topics that were included in the MNT sessions (sick-day rules, benefits of exercise, and so forth). The purpose of rating the understanding of diabetes topics was to help the educator direct future sessions and to determine whether any association existed between self-perceived mastery of a skill and diabetes control.

The procedure for this study was as follows:

  1. Institutional approval was obtained.
  2. A data collection tool was developed for ease of data analysis.
  3. Data were retrieved from chart notes or telephone contacts for patients' self-rating of their knowledge of diabetes (specifically on 13 questions using a Likert scale from good to poor understanding) before and after nutritional education with the dietitian.
  4. Data were retrieved from chart notes or telephone contact for patient goal achievement.
  5. Charts were reviewed for pre- and post-education HbA1c values, demographics, goals, anthropometric measurements, and level of diabetes understanding.

Statistical analysis was conducted using the computer program Statistical Packages for Social Sciences. Paired t-tests were conducted to compare HbA1c values before and after education. The association of demographic factors with diabetes control was determined by correlation calculations. Post-education HbA1c levels were correlated singly with age, pre-education HbA1c level, level of education, average low blood glucose value, average high blood glucose value, duration of diabetes, and body mass index (BMI). An analysis of variance (ANOVA) was performed to determine if HbA1c differed between type 1 and type 2 diabetes and between genders. The statistical analysis is summarized in Table 1.

Table 1. Subject Demographics
Characteristics Mean   SD Significance N* %Population
Initial HbA1c 9.32% 2.06 t = 8.74 102 100
Post-education HbA1c 7.74% 1.48 P = 0.005 83 82
Type of diabetes
    Type 1
    Type 2
15
87
15
85
Duration of diabetes (years) 8.11 9.39 92 90
Sex
    Male
    Female
    Unidentified
55
45
2
54
44
2
Race/ethnicity
    Caucasian
    Hispanic
    Native American
    Asian
98
1
1
1
96
1
1
1
Age (years) 56.01 16.73 102 100
BMI 30.37 6.80 87 85
Formal education (years) 13.88 2.61 21 21
Time between pre- and post- education HbA1c if <1 year as recommended 3.34 1.1 75 74
ANOVA: % lowered HbA1c ***
    Type 1
    Type 2
1.27
1.65
1.5
1.89
f = 0.029
P = 0.85
15
87
102
85
ANOVA: % lowered HbA1c ***
    Male
    Female
1.5
1.69
1.6
2.0
f = 0.266
P = 0.61
45
55
45
55
ANOVA:
perceived understanding
    Pre-education
    Post-education
21.5
32.5
7.9
4.5
f = 7.6
P = 0.000
102
102
100
100
Correlation with post-education HbA1c
    Perceived level of 
    understanding
r = 0.029,
P = 0.95
102 100
    Level of education r = 0.032,
P = 0.28
71 70
    Duration of diabetes r = 0.115,
P = 0.28
91 89
    BMI r = 0.05,
P = 0.64
87 85
    Average low blood
    glucose
r = 0.28,
P = 0.23
20 20
    Average high blood
    glucose
r = 0.19,
P = 0.43
20 20
    Age r = 0.19,
P = 0.09
102 100
Percentage meeting goals
    Monitoring    34.9% = fair, 65.1% = good
    Diet               27.3% = fair, 32.7% = good, 40.4% = excellent
    Exercise        30.4% = fair, 28.6% = good, 41.1% = excellent
    Other             37.5% = fair, 62.5% = good
Frequency of monitoring
    Once per day
    Twice per day
    Three times per day
47%
35%
18%
 
*Number indicates that it was documented in the medical chart. **This group had all patients included (six came back after 12 months)
***ANOVA % lowered HbA1c = averaged percentage of change in HbA1c
ANOVA, analysis of variance; BMI, body mass index; HbA1c, hemoglobin A1c;
SD, standard deviation

Results
The demographics of the 102 study participants, including type of diabetes, duration of diabetes, sex, age, and BMI are presented in Table 1. Other demographic data included race, level of education, pre- and post-education HbA1c level, number of visits to a health care provider, number of hospitalizations, and frequency of blood glucose self-monitoring. There was a significant difference between mean pre-education HbA1c level (9.32% ± 2.06) and mean post-education HbA1c level (7.74% ± 1.48, P < 0.001, 95% CI = 1.22-1.94).

Improvement in HbA1c was significant both for patients with type 1 diabetes (mean pre-education HbA1c of 9.24% ± 1.75 to mean post-education HbA1c of 7.97% ± 1.29 P < 0.005) and for those with type 2 diabetes (mean pre-education HbA1c 9.35% ± 2.12 to mean post-education HbA1c 7.70% ± 1.53, P < 0.000). Average time between pre- and post-education HbA1c was 3.34 ± 1.1 months in 75 patients that made follow-up appointments close to the recommended time frame, and 4.18 ± 3.23 months when calculated for all 83 patients that reported a return visit. (Six patients had a first return visit 12­18 months after the initial visit.) Changes in HbA1c did not differ based on gender, age, or perceived level of understanding.

Thirty-two patients set goals to improve diabetes control, of which 54% set goals related to diet, 55% set goals related to exercise, 42% set goals related to blood glucose monitoring, and 14% set goals related to weight loss. The percentage of men and women setting each type goal was not significantly different.

Perception of understanding of diabetes (as determined by pre- and post-education test scores), improved after education sessions by a mean of 11.14 points (t = 7.6, P = 0.000) (pre-education rank score of understanding = 21.5% ± 7.9, post-education rank score of understanding = 32.5 ± 4.5). There was no correlation between perceived control (assessed by subjects rating themselves on goal accomplishments) and actual control (r = 0.029, P = 0.85).

Weight remained stable in this population. Chart review indicated that 6 patients lost weight, 8 gained weight, and 88 had no change in weight. Only three patients reported a hospital visit in the past 5 years (two had two hospital visits each, and one had four hospital visits.)

Discussion and Conclusion
The cost for treating diabetes is high. Lengths of stay in the hospital per admission have decreased, and education related to special diets for patients is limited during hospitalization. This leads to an increased need for outpatient MNT.10,11 Special diet education provided on an outpatient basis could prevent or postpone the expensive complications of this disease.10,11 However, it has been estimated that only 58.6% of patients with type 1 diabetes, 48.9% of patients with insulin-treated type 2 diabetes, and 23.7% of patients with noninsulin-treated type 2 diabetes attended a class of program about diabetes at some time during the course of their disease.2

The findings of this study support previous studies on improving HbA1c levels with diabetes education.12-14 In addition, they support the contention that registered dietitians contribute to improvement in diabetes control as measured by HbA1c. This study demonstrated a highly significant improvement in HbA1c levels after MNT and DSME provided by a dietitian. The improvement in HbA1c levels occurred regardless of gender, age, type of diabetes, level of education, or BMI.

It should be acknowledged that patients were receiving ongoing medical care from their physician in addition to nutrition education from the dietitians, and therefore improvements cannot be attributed solely to MNT. Patients had to have had diabetes for longer than 6 months to participate in this study because of the decrease in HbA1c level that occurs when starting medications. The authors recognize that the improvement in HbA1c could be multifactorial; however, excluding new-onset patients with diabetes and beginning the analysis at the first dietitian visit is a first step in collecting effectiveness data for MNT.

It should also be acknowledged that the study population was largely Caucasian. Therefore, these interventions need to be evaluated with more ethnically diverse populations.

The effect of nutrition education taught by a dietitians on HbA1c (the accepted measurement of diabetes control) must be continually evaluated and reported to hospital administrators or clinic managers to reinforce the cost-effectiveness of dietitians. Future studies modeling this investigation with a prospective design could demonstrate significant cost savings secondary to nutrition education. We recommend that smaller clinics cooperate with each other and plan their data collection. A larger sample size and standardized care/goal forms and data collection sheets among facilities would provide more compelling data regarding cost-effectiveness of dietitians.


References
1American Diabetes Association, National Diabetes Fact Sheet. November 1997.

2Coonrod BA, Betschart J, Harris MI: Frequency and determinants of diabetes patient education among adults in the U.S. population. Diabetes Care 17:852-58, 1994.

3Bourn DM: The potential for lifestyle change to influence the progression of impaired glucose tolerance to noninsulin-dependent diabetes mellitus. Diabetic Med 13:938-45, 1996.

4Glasgow RF, Osteen VI: Evaluating diabetes education. Diabetes Care 15:1423-31, 1992.

5Anderson RM, Funnell MM, Butler PM, Arnold MS, Fitzgerald JT, Feste CC: Patient empowerment. Diabetes Care 18:943-49, 1995.

6D'Eramo-Melkus GA, Wylie-Rosett J, Hagan JA: Metabolic impact of education in NIDDM. Diabetes Care 15:864-69, 1992.

7Pleber TR, Brunner GA, Schnedl WJ, Schattenberg S, Kaufmann P, Krejs GJ: Evaluation of a structured outpatient group education program for intensive insulin therapy. Diabetes Care 18:625-30, 1995.

8Travis T: Patient perceptions of factors that affect adherence to dietary regimens for diabetes mellitus. Diabetes Educ 23:152-56, 1997.

9American Dietetic Association and Morrison Health Care: Type 1 diabetes mellitus medical nutrition therapy protocol and type 2 diabetes mellitus medical nutrition therapy protocol. Chicago, American Dietetic Association, 1998.

10Carey M: Diabetes guidelines, outcomes, and cost-effectiveness study: a protocol, prototype, and paradigm. J Am Diet Assoc 95:976-78, 1995.

11American Dietetic Association: Position statement: Cost-effectiveness of medical nutrition therapy. J Am Diet Assoc 95:88-91, 1995.

12The DCCT Research Group: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 329:977-83, 1993.

13American Diabetes Association: Position statement: Implication of the Diabetes Control and Complications Trial. Diabetes Care 23:S24-26, 2000.

14Turner R, Cull C, Holma R, for the UK Prospective Diabetes Study Group: UKPDS 17: a 9-year update of a randomized, controlled trial on the effect of improved metabolic control on complications in non-insulin-dependent diabetes mellitus. Ann Intern Med 124:136-45, 1996.


Nedra K. Christensen, PhD, RD, is an assistant professor, and Roxane Pfister, MS, is an instructor in math and statistics and director of the computer lab in the College of Family Life of Utah State University in Logan, Utah. Jack Whalen, MD, PhD, FACE, is the director, and Julianne Steiner, MS, RD, is a dietitian/diabetes educator at the McKay-Dee Endocrine & Diabetes Clinic in Ogden, Utah.


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