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Author(s): Henna P I*1, Dr. Krishnananda Kamath K2, Dr. Blessy Fernandes3, Dr A.R. Shabaraya4

Email(s): 1hennashinu@gmail.com

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    Department of Pharmacy Practice, Srinivas College of Pharmacy, Mangaluru, Karnataka, India.

Published In:   Volume - 4,      Issue - 9,     Year - 2025


Cite this article:
Henna P I, Dr. Krishnananda Kamath K, Dr. Blessy Fernandes, Dr A.R. Shabaraya. Impact of Pharmaceutical Care Plan on Clinical Outcomes in Pregnant Women with Gestational Diabetes Mellitus: A Prospective Interventional Study. IJRPAS. 2025; 4(9): 61-69.

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Impact of Pharmaceutical Care Plan on Clinical Outcomes in Pregnant Women with Gestational Diabetes Mellitus: A Prospective Interventional Study

 

Henna P I*, Dr. Krishnananda Kamath K, Dr. Blessy Fernandes, Dr A.R. Shabaraya

Department of Pharmacy Practice, Srinivas College of Pharmacy, Mangaluru, Karnataka, India.

 

*Correspondence: hennashinu@gmail.com

DOI: https://doi.org/10.71431/IJRPAS.2025.4907     

Article Information

 

Abstract

Review Article

Received: 10/09/2025

Accepted: 15/09/2025

Published: 30/09/2025

 

Keywords

Gestational diabetes mellitus; Pharmaceutical care; HbA1c;

Quality of life; Medication adherence

 

Background: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications, associated with adverse maternal and neonatal outcomes. Pharmaceutical care, including structured patient education and medication management, has been shown to improve treatment adherence, glycemic control, and maternal quality of life in GDM.¹˒² Aim: To analyze the impact of a pharmaceutical care plan on pregnant women with GDM through quantitative and qualitative outcomes.

Methods: A prospective interventional study was conducted for three months in a tertiary care hospital. Of 100 screened participants, 50 pregnant women with poor adherence and low knowledge scores were enrolled and equally divided into intervention and control groups. The intervention group received structured counseling and a patient information leaflet (PIL). Outcomes assessed included glycated hemoglobin (HbA1c), quality of life (QOL; DSQOL, ADS), and medication adherence (MMAS-8). Statistical significance was set at p < 0.05.Results: After intervention, HbA1c improved significantly in the intervention group compared to control (p < 0.05). Quality of life scores improved across physical, emotional, and social domains in the intervention group, while no notable changes were seen in the control group. Adherence improved markedly in the intervention group, whereas the control group showed minimal change. Conclusion: Pharmaceutical care interventions significantly improved glycemic control, adherence, and quality of life in women with GDM. These findings highlight the importance of integrating pharmacists into multidisciplinary antenatal care teams to optimize maternal and neonatal outcomes.

INTRODUCTION

Gestational diabetes mellitus (GDM) is a common pregnancy complication caused by impaired glucose tolerance due to insulin resistance, affecting both maternal and neonatal outcomes.¹ Its prevalence is rising globally, ranging from 2–14% depending on diagnostic criteria, with India contributing significantly due to higher baseline risk.²˒³ Poorly controlled GDM increases the risk of preterm delivery, macrosomia, neonatal hypoglycemia, and future development of type 2 diabetes in both mother and child.⁴˒⁵

Optimal management of GDM requires glycemic control through lifestyle interventions, diet, and medications. However, poor adherence and lack of awareness about safe drug use during pregnancy remain barriers.⁶

Pharmaceutical care—defined as patient-centered, outcome-oriented pharmacy practice—has demonstrated improvements in both clinical and humanistic outcomes among chronic disease patients, including diabetes.⁷ Studies have reported that pharmacist interventions in GDM patients improve glycemic control, increase adherence, reduce drug-related problems, and enhance maternal confidence in self-care.⁸˒⁹ In countries with structured pharmaceutical care models, pharmacist-led education has been associated with reduced maternal complications and improved neonatal outcomes.¹⁰

Therefore, this study was designed to evaluate the impact of a pharmaceutical care plan on clinical and patient-reported outcomes among pregnant women with GDM, focusing on glycemic control, quality of life, and adherence.

MATERIALS AND METHODS

Study Design and Setting

This was a prospective interventional study conducted over three months at a tertiary care hospital in Dakshina Kannada, Karnataka. Ethical approval was obtained from the Institutional Ethics Committee (Ref. No.: SIEC/SIMS & RC/53/03/2024).

Study Population

Inclusion criteria: Pregnant women >18 years with newly diagnosed GDM willing to provide informed consent.
Exclusion criteria: Women with psychiatric illness, pre-existing diabetes mellitus, or unwilling to participate.

Sample Size and Groups

Of 100 screened patients, 50 were excluded due to high adherence or adequate knowledge. The remaining 50 were randomized into:

  • Control group (n = 25): Received routine care.
  • Intervention group (n = 25): Received pharmaceutical care including structured counseling and distribution of a Patient Information Leaflet (PIL).

Outcomes Assessed

  • Glycemic control: HbA1c levels measured at baseline and 3-month follow-up.
  • Quality of Life (QOL): Assessed using Diabetes-Specific Quality of Life (DSQOL)
  • Medication adherence: Evaluated using Morisky Medication Adherence Scale (MMAS-8).

Statistical Analysis

Data were analyzed using Microsoft Excel. Continuous variables were expressed as mean ± SD, and categorical variables as percentages. Comparisons between groups were performed using unpaired t-test, with p < 0.05 considered significant.

RESULTS AND DISCUSSION

Glycemic Control

At baseline, both groups showed poor HbA1c control. After intervention, the proportion of patients with HbA1c in the target range (4–6%) increased significantly in the intervention group, while the control group showed minimal improvement (p < 0.05). This finding suggests that pharmaceutical care effectively contributes to improved glycemic control, consistent with prior studies.⁷˒⁸

 

35

30

25

20

15

10

5

0

COMPARISON OF HbA1C IN INTERVENTION GROUP

 

12

18

4-6%

7-9%

HbA1c levels

9-11%

PRE -INTERVENTION GROUP (n=25)                 POST -INTERVENTION GROUP (n=25)


Table 1: Comparison of HbA1c values between control and intervention groups

Parameter

Intervention Group n=25

Control Group n=25

P valve

HbA1c

Pre

Post

Pre

Post

 

<0.05

4-6%

12

27

29

24

7-9%

20

15

18

22

9-11%

18

8

3

4

8

27

15

20

                           Figure 1: Comparison of HbA1C in intervention group

 

 

 

POST-CONTROL GROUP (n=25)

PRE-CONTROL GROUP (n=25)

 

 

9-11%

7-9%

HbA1c levels

4-6%

0

 

10

 

COMPARISON OF HbA1C IN CONTROL GROUP

 

 


 

 

20

 

20

 

 

30

 

20

 

 

40

 

20

 

 

50

 

20

 

 

60

 

20

24

22

4

3

18

29

 


             Figure 2: Comparison of HbA1C in control group

Quality of Life (QOL)

QOL improved significantly in the intervention group across physical, emotional, and social domains as measured by DSQOL. Patients reported greater satisfaction with daily activities, social support, and overall adjustment to diabetes after intervention. No notable improvements were observed in the control group.⁹

PHYSICAL FACTORS (exercise, diet, sleep)

Table 2. Comparison of Physical factors

VARIABLE

CONSTANT

INTERVENTION

GROUP n=25

CONTROL

GROUP n=25

Pre

Post

Pre

Post

How satisfied

a. Very satisfied

12%

26%

10%

12%

are you with

b. Moderately satisfied

44%

50%

50%

54%

the flexibility

c. Neither

8%

8%

5%

4%

you have in

d. Moderately dissatisfied

30%

14%

25%

23%

your diet?

e. Very dissatisfied

6%

2%

10%

7%

How satisfied

a. Very satisfied

3%

20%

5%

7%

are you with

b. Moderately satisfied

54%

70%

58%

57%

your sleep?

c. Neither

8%

4%

10%

10%

 

d. Moderately dissatisfied

26%

6%

19%

19%

 

e. Very dissatisfied

9%

0%

8%

7%

How satisfied

a. Very satisfied

6%

16%

4%

5%

are you with

b. Moderately satisfied

36%

44%

30%

31%

the time you

c. Neither

16%

2%

13%

14%

spend

d. Moderately dissatisfied

30%

30%

47%

45%

exercising?

e. Very dissatisfied

12%

8%

6%

5%

 

  140%

120%

100%

80%

60%

40%

20%

0%

PHYSICAL FACTORS (INTERVENTION GROUP)

                                                                                                      

 

    PRE -INTERVENTION GROUP(n=25)

 

50%

POST -INTERVENTION GROUP(n=25)

44%

30%

 26%       

14%

44%

8%

20%

6%

54%

16%

30%

2%

6%

 

 

4%

8%

26%

36%

12%

8%

3%

0%

9%

2%

16%

8%

30%

6%

12%

Diet

Sleep

Exercise

 

 

 


                                                    70%                                          

 

 

 

 

 

 

 

Text Box: d. Moderately dissatisfied
Text Box: a. Very satisfied Text Box: e. Very dissatisfied
Text Box: c. Neither Text Box: c. NeitherText Box: d. Moderately dissatisfied
Text Box: a. Very satisfied Text Box: d. Moderately dissatisfied Text Box: d. Moderately dissatisfied
Text Box: b. Moderately satisfied
Text Box: c. Neither
Text Box: b. Moderately satisfied Text Box: e. Very dissatisfied
Text Box: a. Very satisfied Text Box: b. Moderately satisfied
 

 

 

 

 


Figure 3: Comparison of physical factors in intervention group

INTELLECTUAL FACTORS (Engaging in activities, leisure time)

Table 3. Comparison of Intellectual factors

VARIABLE

CONSTANT

INTERVENTION

GROUP n=25

CONTROL

GROUP n=25

PRE

POST

PRE

POST

How satisfied are you

a. Very satisfied

8%

18%

4%

5%

with your work,

b. Moderately satisfied

30%

52%

29%

28%

school and household

c. Neither

12%

4%

13%

13%

activities?

d. Moderately dissatisfied

42%

12%

40%

42%

 

e. Very dissatisfied

8%

14%

14%

12%

How satisfied are

a. Very satisfied

8%

24%

12%

14%

you with your leisure

b. Moderately satisfied

42%

48%

46%

45%

time?

c. Neither

12%

6%

3%

5%

 

d. Moderately dissatisfied

28%

12%

29%

29%

 

e. Very dissatisfied

10%

10%

10%

7%

 

Satisfied With school and household activities                 Satisfied With leisure time

PRE -INTERVENTION GROUP (n=25)         POST -INTERVENTION GROUP (n=25)

10%

28%

12%

42%

8%

8%

42%

4%

12%

30%

8%

10%

        6%            

14%

12%

24%

18%

12%

52%

48%

100%

90%

80%

70%

60%

50%

40%

30%

20%

10%

0%

                                         

                                      INTELLECTUAL FACTORS(INTERVENTION GROUP)

 

 

 

 

 

 

 

Text Box: b. Moderately satisfied Text Box: d. Moderately dissatisfied
Text Box: e. Very dissatisfied
Text Box: b. Moderately satisfied Text Box: d. Moderately dissatisfied
Text Box: e. Very dissatisfied
Text Box: a. Very satisfied
Text Box: c. Neither
Text Box: a. Very satisfied Text Box: c. Neither
 

 

 

 

 

 

 

 

 

 


Figure 4: Comparison of Intellectual factors in intervention group

EMOTIONAL FACTORS (Burden on family)

Table 4. Comparison of Emotional factors

VARIABLE

CONSTANT

INTERVENTION

GROUP n=25

CONTROL

GROUP n=25

PRE

POST

PRE

POST

How satisfied are

a. Very satisfied

2%

18%

8%

14%

you with the burden

b. Moderately satisfied

46%

50%

40%

43%

your diabetes is

c. Neither

10%

6%

12%

15%

placing on your

d. Moderately dissatisfied

30%

24%

28%

17%

family?

e. Very dissatisfied

8%

6%

12%

11%

 

  100%

   80%

   60%

   40%

   20%

    0%

 

60%

 

40%

 

20%

 

0%

 

EMOTIONAL FACTORS (INTERVENTION GROUP)

a. Very satisfied

b. Moderately satisfied

c. Neither

  8%      

d. Moderately                 e. Very dissatisfied                 dissatisfied

Burden on family

INTERVENTION GROUP n=25 PRE

INTERVENTION GROUP n=25 POST

 10%

18%

2%

30%

 

46%

24%

 

50%

6%

6%

Figure 5: Comparison of Emotional factors in intervention group

SOCIAL FACTORS (Social Relationship and Friends)

Table 5. Comparison of social factors

VARIABLE

CONSTANT

INTERVENTION

GROUP n=25

CONTROL

GROUP n=25

PRE

POST

PRE

POST

How satisfied are

a. Very satisfied

12%

26%

11%

10%

you with your

b. Moderately satisfied

44%

51%

33%

35%

social relationships

c. Neither

10%

6%

15%

16%

And friendships?

d. Moderately dissatisfied

32%

16%

37%

36%

 

e. Very dissatisfied

2%

1%

4%

3%

 

POST -INTERVENTION GROUP (n=25)

PRE -INTERVENTION GROUP (n=25)

How satisfied are you with your social relationship and friendship

1%

2%

e.Very dissatisfied

d.Moderately dissatisfied

c.Neither

b.Moderately satisfied

a.Very satisfied

0%

32%

10%

44%

12%

10%

6%

40%

30%

20%

16%

26%

90%

80%

70%

60%

50%

51%

100%

SOCIAL FACTORS (INTERVENTION GROUP)

Figure 6: Comparison of social factors

 

 CONCLUSION

Pharmaceutical care interventions significantly improved HbA1c, quality of life, and adherence among pregnant women with GDM. Our findings are consistent with prior evidence that pharmacist involvement in maternal care reduces complications, enhances treatment satisfaction, and supports positive pregnancy outcomes.⁸˒¹⁰˒¹¹ Incorporating clinical pharmacists into multidisciplinary maternal care teams can therefore optimize outcomes and ensure safe medication practices during pregnancy. Expanding such interventions across antenatal clinics could play a crucial role in improving both maternal and neonatal health in GDM.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

ACKNOWLEDGEMENT

The authors are grateful to the management and faculty of Srinivas College of Pharmacy, and the clinical staff at Srinivas Institute of Medical Science and Research Centre, Mukka, for their support during the study.

 

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