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
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Article Information
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Abstract
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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
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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.
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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
COMPARISON OF
HbA1C IN INTERVENTION GROUP
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PRE -INTERVENTION GROUP (n=25) POST -INTERVENTION GROUP (n=25)
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Table 1: Comparison of HbA1c values
between control and intervention groups
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Parameter
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Intervention Group
n=25
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Control Group n=25
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P valve
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HbA1c
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Pre
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Post
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Pre
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Post
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<0.05
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4-6%
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12
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27
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29
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24
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7-9%
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20
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15
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18
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22
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9-11%
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18
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8
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3
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4
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Figure 1: Comparison of HbA1C in intervention group
POST-CONTROL GROUP (n=25)
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COMPARISON OF
HbA1C IN CONTROL GROUP
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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
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VARIABLE
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CONSTANT
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INTERVENTION
GROUP n=25
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CONTROL
GROUP n=25
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Pre
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Post
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Pre
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Post
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How satisfied
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a.
Very satisfied
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12%
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26%
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10%
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12%
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are you with
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b. Moderately satisfied
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44%
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50%
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50%
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54%
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the flexibility
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c. Neither
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8%
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8%
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5%
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4%
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you have in
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d. Moderately dissatisfied
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30%
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14%
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25%
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23%
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your diet?
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e. Very dissatisfied
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6%
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2%
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10%
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7%
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How satisfied
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a.
Very satisfied
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3%
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20%
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5%
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7%
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are you with
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b. Moderately satisfied
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54%
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70%
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58%
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57%
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your sleep?
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c. Neither
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8%
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4%
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10%
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10%
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d. Moderately dissatisfied
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26%
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6%
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19%
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19%
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e. Very dissatisfied
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9%
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0%
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8%
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7%
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How satisfied
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a. Very satisfied
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6%
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16%
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4%
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5%
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are you with
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b. Moderately satisfied
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36%
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44%
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30%
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31%
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the time you
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c. Neither
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16%
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2%
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13%
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14%
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spend
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d. Moderately dissatisfied
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30%
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30%
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47%
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45%
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exercising?
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e. Very dissatisfied
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12%
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8%
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6%
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5%
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140%
120%
100%
80%
60%
40%
20%
0%
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PHYSICAL FACTORS (INTERVENTION GROUP)
PRE -INTERVENTION GROUP(n=25)
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POST -INTERVENTION GROUP(n=25)
44%
30%
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70%
Figure 3: Comparison of physical factors in intervention group
INTELLECTUAL FACTORS (Engaging in activities, leisure
time)
Table 3. Comparison of Intellectual factors
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VARIABLE
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CONSTANT
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INTERVENTION
GROUP
n=25
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CONTROL
GROUP
n=25
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PRE
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POST
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PRE
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POST
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How satisfied are you
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a. Very
satisfied
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8%
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18%
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4%
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5%
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with your
work,
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b. Moderately satisfied
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30%
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52%
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29%
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28%
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school and household
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c. Neither
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12%
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4%
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13%
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13%
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activities?
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d. Moderately dissatisfied
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42%
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12%
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40%
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42%
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e. Very
dissatisfied
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8%
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14%
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14%
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12%
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How satisfied are
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a. Very
satisfied
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8%
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24%
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12%
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14%
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you
with your leisure
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b. Moderately satisfied
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42%
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48%
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46%
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45%
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time?
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c. Neither
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12%
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6%
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3%
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5%
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d. Moderately dissatisfied
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28%
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12%
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29%
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29%
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e. Very
dissatisfied
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10%
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10%
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10%
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7%
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Satisfied With
school and household activities Satisfied With
leisure time
PRE -INTERVENTION GROUP (n=25) POST -INTERVENTION GROUP (n=25)
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100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
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INTELLECTUAL FACTORS(INTERVENTION GROUP)
Figure 4: Comparison
of Intellectual factors
in intervention group
EMOTIONAL FACTORS (Burden
on family)
Table 4. Comparison
of Emotional factors
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VARIABLE
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CONSTANT
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INTERVENTION
GROUP
n=25
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CONTROL
GROUP
n=25
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PRE
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POST
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PRE
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POST
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How satisfied are
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a. Very
satisfied
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2%
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18%
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8%
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14%
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you with the burden
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b. Moderately satisfied
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46%
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50%
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40%
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43%
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your diabetes is
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c. Neither
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10%
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6%
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12%
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15%
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placing on your
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d. Moderately dissatisfied
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30%
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24%
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28%
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17%
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family?
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e. Very
dissatisfied
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8%
|
6%
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12%
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11%
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100%
80%
60%
40%
20%
0%
60%
40%
20%
0%
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EMOTIONAL FACTORS (INTERVENTION GROUP)
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8%
d. Moderately e. Very dissatisfied dissatisfied
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INTERVENTION GROUP n=25 PRE
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INTERVENTION GROUP n=25 POST
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Figure 5: Comparison of Emotional factors
in intervention group
SOCIAL FACTORS (Social Relationship and Friends)
Table 5. Comparison
of social factors
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VARIABLE
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CONSTANT
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INTERVENTION
GROUP n=25
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CONTROL
GROUP n=25
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PRE
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POST
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PRE
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POST
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|
How satisfied are
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a. Very
satisfied
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12%
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26%
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11%
|
10%
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you with your
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b. Moderately satisfied
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44%
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51%
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33%
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35%
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social relationships
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c. Neither
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10%
|
6%
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15%
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16%
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And friendships?
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d. Moderately dissatisfied
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32%
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16%
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37%
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36%
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e. Very
dissatisfied
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2%
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1%
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4%
|
3%
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POST -INTERVENTION GROUP (n=25)
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PRE -INTERVENTION GROUP (n=25)
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How satisfied are you with your social relationship and friendship
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1%
2%
e.Very
dissatisfied
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d.Moderately dissatisfied
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SOCIAL FACTORS (INTERVENTION GROUP)
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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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