Global Journal of Pharmaceutical and Scientific Research (GJPSR)
AWARENESS REGARDING PREGNANCY INDUCED HYPERTENSION AMONG PREGNANT WOMEN ATTENDING A TERTIARY CARE HOSPITAL OF POKHARA NEPAL
Sabita Khadka1, Nirmala Neupane1*
Abstract
Introduction: Pregnancy Induced Hypertension (PIH) is the major contributor for maternal and neonatal complications morbidity, mortality and premature birth. It is second most leading cause of maternal death contributing to 22% of total death. Therefore, can be prevented by proper knowledge, awareness of the disease and its complications. Objective of the study to assess the level of awareness regarding PIH among pregnant women attending a tertiary care hospital of Pokhara Nepal.
Methods: A descriptive cross sectional study design with a convenience sampling technique was used to assess the awareness regarding pregnancy induced hypertension among pregnant women attending antenatal outpatient department, Pokhara Academy of Health Science. The total sample size was 226 pregnant women. Face to face interview technique was used to collect the data through structured interview schedule.
Results: More than two-third (66.8%) of respondents had moderate level of awareness, 19% had low level of awareness and only 14.2% had good level of awareness regarding pregnancy induced hypertension. The level of knowledge was not significantly associated with any of the socio-demographic variables.
Conclusion: study concludes about two-third of pregnant women had moderate level of awareness regarding PIH and study showed no significance association between level of awareness and any of socio-demographic variables. Awareness raising program need to be conducted in the antenatal clinic to increase the awareness level of pregnant women about PIH.
Keywords: Level of awareness, Pregnancy Induced Hypertension, Tertiary hospital
Corresponding Author
Nirmala Neupane,
School of Health and Allied Sciences, Pokhara University
Email Address : nirmalaneupane09@gmail.com
Received: 21/02/2026
Revised: 25/02/2026
Accepted: 05/03/2026
DOI: http://doi.org/10.66204/GJPSR.341-2026-2-3-1
Copyright Information
© 2026 The Authors. This article is published by Global Journal of Pharmaceutical and Scientific Research Copyright Author (s) 2024 Distributed under Creative Commons CC-BY 4.
How to Cite
Neupane N, Khadka S. Awareness regarding pregnancy induced hypertension among pregnant women attending a tertiary care hospital of Pokhara Nepal. Global Journal of Pharmaceutical and Scientific Research. 2026; 2(3):341–360. ISSN: 3108-0103. http://doi.org/10.66204/GJPSR.341-2026-2-3-1
1. Introduction
Pregnancy is a unique and intricate phase in a woman’s life (Bjelica et al., 2018). Pregnancy is often marked by conditions that significantly endanger the lives of both expectant mothers and their unborn babies. Each year, more than 585,000 women globally lose their lives due to childbirth-related complications, with 99% of these deaths occurring in developing countries (Wilkerson & Ogunbodede, 2019).
Hypertension during pregnancy is defined as a systolic blood pressure of 140 mmHg or higher, a diastolic blood pressure of 90 mmHg or higher, or both recorded in a clinical or hospital setting. Confirmation is required, preferably on two separate measurements, or at an interval of at least 15 minutes in cases of severe hypertension (≥160/110 mmHg) (Cifkova, 2023). Unlike pre-existing hypertension, gestational hypertension develop after 20 weeks of gestation and typically resolving within six weeks after delivery (Aghajanian et al., 2006; Cifkova, 2023). Hypertensive disorders during pregnancy encompass a variety of conditions, including chronic hypertension, gestational hypertension, preeclampsia, and eclampsia that occurs on existing chronic hypertension with or without proteinuria (Department of Health Services, 2018).
Chronic hypertension is characterized by a systolic blood pressure (SBP) ≥140 mmHg and/or a diastolic blood pressure (DBP) ≥90 mmHg that is present prior to conception or detected before 20 weeks of gestation also in addition antihypertensive therapy is required before pregnancy or elevated blood pressure persists beyond 12 weeks postpartum (ACOG, 2019). Gestational hypertension is identified when a previously normotensive woman develops a systolic blood pressure of ≥140 mmHg and/or a diastolic blood pressure of ≥ 90 mmHg after 20 weeks of gestation (Cifkova, 2023).
Pre-eclampsia is defined as blood pressure ≥140/90 mmHg along with proteinuria exceeding 300 mg in a 24-hour period first appears after 20 weeks of pregnancy, but both conditions typically resolve within 12 weeks after delivery. Eclampsia is characterized by the occurrence of seizures in a woman with pregnancy-induced hypertension (PIH) that cannot be explained by other causes and convulsions can manifest before, during, or after labor (Outline of Definition and Classification of Pregnancy Induced Hypertension).
It is also estimated that pregnancy-induced hypertension (PIH) impacts approximately 5 to 8% of all pregnant women around the globe. Globally, 10% of pregnancies are affected by hypertension, with pre-eclampsia and eclampsia being the primary contributors to maternal and prenatal health complications and fatalities (Muti et al., 2015). Preeclampsia is responsible for approximately 16% of maternal deaths in developing nations, 25% in Latin America, and 10% in Asia and Africa (Naz et al., 2022). PIH is directly responsible for 17.6% of maternal deaths in the United States (International Journal of Gynecology & Obstetrics, 2002). Mortality is strongly linked to the severity of hypertension, with eclampsia alone accounting for 22% of maternal deaths in Nepal (Department of Health Services, 2018). Eclampsia occurs in approximately 5–8% of all pregnancies worldwide, with higher prevalence in women who have pre-existing kidney issues, diabetes, or a history of pregnancy-induced hypertension. It is more common in women under 20 years and over 40 years, as well as in first-time pregnant women and those carrying twins (Index Copernicus Journal Article). Pre-eclampsia affects 5–30% of pregnancies with multiple children, and the risk of preeclampsia increases with these factors (Naz et al., 2022).
PIH is influenced by multiple risk factors, including pre-existing chronic hypertension, diabetes, renal disorders, obesity, short stature, poor nutrition, history of gestational hypertension, hereditary predisposition, autoimmune diseases (such as systemic lupus erythematosus and antiphospholipid syndrome), molar pregnancy, multiple gestations, fetal macrosomia, nulliparity, advanced maternal age, elevated BMI, and conception through assisted reproductive techniques (Karrar et al., 2025). Signs and symptoms of pregnancy-induced hypertension include a persistent headache, sudden onset of vision disturbances, loss of consciousness, ongoing discomfort in the right upper abdomen or epigastric region, nausea and vomiting, swelling of the hands and face, and seizures (Berhe et al., 2020).
PIH lead to serious complications such as ischemic heart disease, stroke, liver and kidney damage, abruptio placentae, disseminated intravascular coagulation (DIC), and HELLP syndrome (hemolysis, elevated liver enzymes, and low platelet count) in the mother (Naz et al., 2022). Similarly fetal complication includes Intra-Uterine Growth retardation (IUGR), prematurity, intrauterine death, significantly high in pre-eclampsia (Cifkova, 2023). In severe cases of pre-eclampsia, it can also cause intrauterine growth restriction and preterm birth (Chaemsaithong et al., 2022).
The majority PIH cases were seen in young women and had not completed antenatal visits about half 50% of deliveries were done by cesarean among patients with PIH, 43.1% of the deliveries were normal vaginal and other 6.9% were assisted (instrumental) deliveries (Shrestha et al., 2021). Preeclampsia was found to have a strong association with cesarean sections; with a likelihood 8.11 times higher compared to normal pregnancies (Das et al., 2023).
Pregnancy-induced hypertension (PIH) affects approximately 6–10% of all pregnancies (Kintiraki et al., 2015). PIH can lead to severe complications, including placental abruption and hematological abnormalities affecting the kidneys, lungs, liver, and brain. Fetal complications may arise before, alongside, or independently of maternal symptoms and may include oligohydramnios, intrauterine growth restriction (IUGR) in up to 30% of cases, abnormal umbilical artery Doppler findings, reduced resistance in the fetal middle cerebral artery, irregular ductus venosus waveforms, and stillbirth (Magee et al., 2014).
Expectant mothers should recognize the warning signs of PIH and promptly seek medical attention (Dutta, 2015). Timely diagnosis and proper intervention can greatly enhance maternal survival rates. As primary caregivers, nurses have a vital responsibility in enhancing mothers’ understanding of various pregnancy-related complications (Knowledge of Antenatal Women Regarding Pregnancy Induced Hypertension). Low awareness among pregnant women is a key factor contributing to delays in seeking healthcare and making timely decisions, creating a barrier to the early diagnosis and management of severe conditions (Berhe et al., 2020).
In Nepal, although maternal health services have expanded, there is limited data on women’s awareness and understanding of PIH, especially in specific hospital or community settings. This knowledge gap hinders the development of effective educational strategies within antenatal care programs (Basnet et al., 2023). Assessing the current level of awareness among pregnant women is therefore vital for identifying areas that require improvement and for guiding targeted interventions aimed at reducing the burden of PIH (Subedi, 2014).
2. MATERIAL AND METHODS
A hospital -based descriptive cross-sectional study design was employed to assess the level of awareness regarding PIH among pregnant women attending a selected tertiary care hospital of Pokhara, Nepal. The study sample consisted of 226 pregnant women attending ANC OPD of Western Regional Hospital, Pokhara Academy of Health Sciences. Non-probability convenience sampling technique was used to select the sample and face-to-face structured interview schedule was used to collect data. Data were collected through a structured face to face interview schedule and analyzed using Statistical Package for Social Sciences (SPSS) using descriptive and inferential statistics. The sample size for this study was calculated on the basis of adequate level of knowledge on Pregnancy Induced Hypertension conducted in Tribhuvan University Teaching Hospital, Kathmandu, in which the adequate level of knowledge regarding Pregnancy Induced Hypertension is 17.9%.28 Estimated sample size (n₀) = (Z^2 Pq)/e^2 and final sample for this study was 226.
3. INCLUSION CRITERIA
Inclusion criteria for this study includes all the pregnant women who visit ANC clinic of tertiary hospital of Pokhara at the period of data collection. Those women who were available and willing to participate were included in the study.
4. DATA COLLECTION
Data were collected through face-to-face interview using validated structured interview schedule after obtaining approval from Institutional Review Committee (IRC) of Pokhara Academy of Health Sciences on June 1, 2025 Ref. Number 117/081. Subsequently, written permission was obtained from concerned authorities of Pokhara University. The face-to-face interview was conducted with participants using structured interview schedule and sample of the study were selected through non-probability convenience sampling technique. Privacy was maintained as the participants were not subjected to any interference as interview was conducted on breastfeeding room. Informed consent was obtained from the participants who met the inclusion criteria. Participation was entirely voluntary and participants were fully informed about the purposes, procedure and their right to decline or withdraw at any stage before obtaining the written consent. It took about 15-20 minutes with each respondent to collect information. In average I interview about 15-18 participants each day. Data was collected in a three-week period.
5. STATISTICAL ANALYSIS
Data was edited, coded, and entered in Epi-data version 3.1 with a validated command. All the entered data was transferred to the Statistical Package for Social Sciences (SPSS) version 16 program for further analysis. Data was analyzed by using descriptive statistics (as frequency, percentage, mean, and standard deviation), and an inferential statistical test was applied according to the nature of the data. The findings of the study are presented in tables. The chi-square test was used to find out the association between dependent and independent variables. Bloom’s cut-off points were used to categories the level of awareness in this study. The total score was 30, and score between 24-30 i.e. 80-100% represents high level of awareness, score between 18-23 i.e.60-79% represents moderate level of awareness whereas score between 0-17 i.e.< 60 % represents low level awareness regarding PIH among pregnant women.
6. RESULTS
The data in Table 1 shows that out of 226 respondents, most of respondents were aged between 25–35 years (46.9%). The minimum age of the respondent is 18, while the maximum age is 40 years, with a mean and standard deviation of 26.87 ± 5.179. Regarding age at first pregnancy, the maximum (59.7%) reported conceiving at the age between 20-30 years. With regard to religion, majority of respondents (91.2%) follow Hinduism. About one-third (36.7%) of the respondents were Bhramin-Chhetri. More than half of the respondents (54.9%) live in joint families and most of the respondents (41.6%) reside in municipalities. The majority of respondents (88.9%) did not reported history of Pregnancy-Induced Hypertension. Regarding the primary source of information about PIH, most respondents (65.9%) identified health professionals as their source. In terms of blood pressure monitoring during pregnancy, more than two-thirds of respondents (68.8%) reported checking their blood pressure during antenatal visits only.
Table 1: Distribution of respondents on the basis of demographic Information(n=226)
| Variables | Frequency (f) | Percentage (%) |
| Age in completed years | ||
| < 20 years | 25 | 11.0 |
| 20–30 years | 148 | 65.5 |
> 30 years Mean ± SD (Min–Max)26.87 ± 5.179 (18–40) | 53 | 23.5 |
| Age at first pregnancy | ||
| < 20 years | 82 | 36.3 |
| 20–30 years | 135 | 59.7 |
> 30 years Mean ± SD (Min–Max) 22.58 ± 3.859 (17–38) | 009 | 4.0 |
| Religion | ||
| Hindu | 206 | 91.2 |
Buddhist Christian Muslim | 015 003 002 | 6.6 1.3 0.9 |
| Ethnicity | ||
| Brahmin–Chhetri | 83 | 36.7 |
| Janajati | 55 | 24.3 |
Dalit Madhesi | 82 06 | 36.3 2.70 |
| Type of Family | ||
| Nuclear | 99 | 43.8 |
Joint Extended | 124 003 | 54.9 1.3 |
| Permanent Residence | ||
| Metropolitan city | 76 | 33.6 |
| Municipality | 94 | 41.6 |
| Rural municipality | 56 | 24.8 |
| History of PIH | ||
| No | 201 | 88.9 |
| Yes | 25 | 11.1 |
| Primary Source of Information | ||
| Health professional | 149 | 65.8 |
Friends and relatives Family members Mass media | 39 25 13 | 17.3 11.1 5.8 |
| Frequency of BP Check in This Pregnancy | ||
Once a day Twice in a week Once in two weeks | 7 17 47 | 3.1 7.5 20.8 |
| During ANC visit | 155 | 68.6 |
Data depicted in table 2 reveals that majority (89.8%) of respondents were literate and nearly half (49.1%) of respondents have had secondary level education. Meanwhile, majority (95.1%) of the respondent’s husband were literate and more than half (53.1%) have had secondary level education. In terms of occupation, the majority of respondents (70.8%) are homemakers while among husband, more than one-third (35.8%) are involved in business. In terms of family income majority of respondents (89.8%) had up to NPR 80000 monthly family income.
Table 2: Distribution on the basis of Socioeconomic Characteristics (n=226)
| Variables | Frequency (f) | Percentage (%) |
| Education of Respondent | ||
| Literate | 203 | 89.8 |
Illiterate Can read and write If Literate, Level of Education (n = 203) Basic level Secondary level More than secondary level | 007 016 050 111 042 | 3.1 7.1 22.1 49.1 18.6 |
| Education Level of Respondent’s Husband | ||
| Literate | 215 | 95.1 |
Illiterate Can read and write If Literate, Level of Education (n = 215) Basic level Secondary level More than secondary | 003 008 057 120 038 | 1.3 3.5 25.2 53.1 16.8 |
| Family Monthly Income | ||
| Less than 80,000 | 203 | 89.8 |
| 80,000 – 160,000 | 017 | 7.5 |
160,001 – 240,000 More than 240,000 Mean ± SD (Min–Max) 54137.17 ± 36099.169 (10,000 – 300,000) | 004 002 | 1.8 0.9 |
| Occupation of Respondent | ||
| Homemaker | 160 | 70.8 |
| Business | 028 | 12.4 |
| Service | 022 | 9.7 |
| Agriculture | 016 | 7.1 |
| Occupation of Husband | ||
| Agriculture | 029 | 12.8 |
| Service | 052 | 23.0 |
| Business | 081 | 35.8 |
| Foreign employee | 064 | 28.4 |
The data in table no. 3 shows that slightly more than half (52.7%) of the respondents are multigravida. Regarding parity, the maximum (48.7%) of respondents has had up to 2 previous births. In terms of trimester, two-third of the respondents (65.5%) were in their third trimester at the time of data collection. This indicates that the study population primarily comprised women in late stages of pregnancy. With regard to the number of antenatal care (ANC) visits, the highest proportion (84.5%) of respondents had attended ANC visits more than 3 times.
Table 3: Distribution of respondents according to obstetric history (n=226)
| Variables | Frequency (f) | Percentage (%) |
| Gravida | ||
| Primigravida | 107 | 47.3 |
| Multigravida | 119 | 52.7 |
| Parity (n = 119) | ||
| Up to 2 | 110 | 48.7 |
| More than 2 | 9 | 4.0 |
| Trimester | ||
| First trimester | 15 | 6.6 |
| Second trimester | 63 | 27.9 |
| Third trimester | 148 | 65.5 |
| Gestational Age | ||
| Up to 13 weeks | 15 | 6.6 |
| 14–27 weeks | 63 | 27.9 |
| 28–40 weeks | 141 | 62.4 |
| More than 40 weeks | 7 | 3.1 |
| Number of ANC Visits | ||
| Up to 3 | 35 | 15.5 |
| More than 3 | 191 | 84.5 |
The data presented in Table 4 illustrates that two-third (66.8%) of respondents had a moderate level of awareness, whereas only (14.2%) of the respondents shows high level of awareness regarding PIH.
| Level of awareness | Frequency (f) | Percentage (%) |
| High | 032 | 14.2 |
| Moderate | 151 | 66.8 |
| Low | 043 | 19.0 |
Table 4: Distribution of respondents according to the level of awareness. (n=226)
The data depicted in table 5 shows, majority (80.1%) have had correctly identified meaning of hypertension. Similarly, a high proportion (80.5%) had correctly identified the meaning of Pregnancy Induced Hypertension (PIH) but majority (61.9%) answered incorrectly for the gestational period in which PIH typically occurs. Regarding general knowledge of PIH, three-fourth (75.7%) correctly identified the condition. Similarly, majority (55.3%) also recognized intra-uterine growth restriction as most common fetal growth abnormalities linked to PIH. Most respondents (72.1%) reported that they would seek medical help immediately for the management of fetal movement fluctuation. Similarly, majority (93.8%) respondents were aware that both mother and baby can be affected by PIH However, more than half (55.3%) didn’t know that PIH may resolve after delivery.
Table 5: Distribution of respondent based on general awareness aspects of PIH (n=226)
| Variables (Correct Response) | Frequency (f) | Percentage (%) |
| Meaning of hypertension | 190 | 80.1 |
| Meaning of PIH | 182 | 80.5 |
| Weeks of gestation in which PIH usually occurs | 86 | 38.1 |
| General meaning of PIH | 171 | 75.7 |
| Fetal growth abnormality | 125 | 55.3 |
| Measures taken when experienced any sign | 205 | 90.7 |
| Measures taken when fluctuation found in fetal movement | 163 | 72.1 |
| Individuals affected by PIH | 212 | 93.8 |
| Time period to resolve PIH | 101 | 44.7 |
The data depicted in table 6 shows that majority (88.9%) responded pre-existing high blood pressure before pregnancy as risk factor for PIH. More than half (51.3%) of the respondent identified changed in body weight during PIH. However, majority (64.2%) responded incorrectly to identify the abdominal region where pain occurs during PIH. A large proportion (69.0%) were aware that swelling of certain body parts is a common symptom of PIH. However, awareness of changes in urine was limited, as nearly two-third (65.5%) answered incorrectly.
| Correct response | ||
| Variables | Frequency (f) | Percentage (%) |
| Risk factors for PIH* | ||
| Pre-existing high blood pressure before pregnancy | 201 | 88.9 |
| Family history of hypertensive disorder of pregnancy | 165 | 73.0 |
| Obesity | 176 | 77.9 |
| Maternal Diabetes | 152 | 67.3 |
| Multiple pregnancy | 151 | 66.8 |
| Changes in body weight | 116 | 51.3 |
| Pain in abdominal region | 081 | 35.8 |
| Swelling of body parts | 156 | 69.0 |
| Changes in urine | 78 | 34.5 |
Table 6: Distribution of respondent based on awareness on clinical feature (n=226)
*=multiple response questions
The data depicted in table 7 shows that significantly high number (93.4%) identified consuming balanced diet is effective dietary adjustments for managing PIH. Majority of the respondents (70.4%) knew about effective lifestyle changes foe managing PIH and medications used in PIH management but nearly two-third (65.9%) gave incorrect answer about appropriate timing for anti-hypertensive drug use during pregnancy. Just above half of the participants (55.3%) and (51.8%) correctly identified the cause of convulsions in PIH and definitive treatment post-convulsion respectively. Most respondents (72.1%) reported that they would seek medical help immediately for the management of fetal movement fluctuation. Majority of the respondents agreed on (95.6%) the importance of regular ANC checkup as a preventive measure of PIH.
Table 7: Distribution of respondent based on awareness regarding prevention and management of PIH(n=226)
| Correct response | ||
| Variables | Frequency (f) | Percentage (%) |
| Effective dietary adjustment | 211 | 93.4 |
| Effective lifestyle changes | 159 | 70.4 |
| Drugs used for management of PIH | 159 | 70.4 |
| Timing for using anti-hypertensive drugs | 077 | 34.1 |
| Primary causeof convulsion in PIH | 125 | 55.3 |
| Definitive treatment for PIH | 117 | 51.8 |
| Prevention of PIH* | ||
| Visiting for regular ANC checkup | 216 | 95.6 |
| Being awareabout PIH and its consequences | 204 | 90.3 |
| Taking enoughrest and maintaining healthy diet | 194 | 85.4 |
| Regular blood pressure monitoring | 204 | 90.3 |
| Regular monitoring of body weight | 186 | 82.3 |
*=multiple response questions
Data presented in the table 8 shows that there is no statistically significant association of level of awareness with any selected variable as none of the variables had p-value<0.05.
Table 8: Association between level of awareness with selected variables (n=226)
| Variables | Mean score | c2 | d.f | p-value | |
| ≤20 | >20 | ||||
| Age | |||||
| <27 years | 067 | 060 | 0.621 | 1 | 0.431 |
| ≥27 years | 047 | 052 | |||
| Age at first pregnancy | |||||
| <22 years | 067 | 065 | 0.013 | 1 | 0.911 |
| ≥22 years | 047 | 047 | |||
| Religion | |||||
| Hindu | 108 | 098 | 3.668 | 1 | 0.055 |
| Others | 006 | 014 | |||
| Ethnicity | |||||
| Brahmin-Chhetri | 038 | 045 | 1.139 | 1 | 0.286 |
| Others | 076 | 067 | |||
| Education of respondent | |||||
| Literate | 104 | 099 | 0.497 | 1 | 0.481 |
| Others | 010 | 013 | |||
| Education level of husband | 1 | ||||
| Literate | 107 | 108 | 0.539# | ||
| Others | 007 | 004 | |||
| Monthly family income | |||||
| <54000 | 077 | 064 | 0.497 | 0.481 | |
| ≥ 54000 and above | 037 | 048 | |||
| Occupation of respondent | |||||
| Homemaker | 083 | 077 | 0.450 | 0.502 | |
| Others | 031 | 035 | |||
| Occupation of husband | |||||
| Foreign employee | 034 | 030 | 0.257 | 0.612 | |
| Others | 080 | 082 | |||
| Type of family | |||||
| Nuclear | 053 | 046 | 0.674 | 0.412 | |
| Others | 061 | 066 | |||
| Primary source of information | |||||
| Health personnel | 076 | 073 | 0.056 | 0.813 | |
| Others | 038 | 039 | |||
| Blood pressure checkup during this pregnancy | |||||
| When visited for ANC visit | 077 | 078 | 0.116 | 0.734 | |
| Others | 037 | 034 | |||
| Permanent residence | |||||
| Urban area | 087 | 083 | 0.148 | 0.701 | |
| Rural area | 027 | 029 | |||
| History of pregnancy Induced hypertension | |||||
| No | 101 | 100 | 0.027 | 0.869 | |
| Yes | 013 | 012 | |||
# = Fisher’s Exact Test, d. f=1
7. DISCUSSION
In present study the level of awareness regarding Pregnancy Induced Hypertension most of the respondents had moderate level of awareness (66.8%), followed by low level of awareness (19%) and high level of awareness (14.2%). This finding was similar to the finding in the study conducted at Tribhuvan University Teaching Hospital (TUTH), Kathmandu where maximum (47.7%) of the respondents had moderate level of awareness, followed by 34.4% inadequate level of awareness and 17.9% adequate level of awareness (Levels of Awareness – The Personal MBA). A study conducted at ANC OPD of tertiary care hospital in Chhattisgarh, showed that more than half (55%) of pregnant women had average knowledge regarding PIH followed by 31% poor knowledge and 14% good knowledge (Bloom’s Cutoff Categories for Knowledge and Attitude Scores, n.d.). Another study showed similar findings conducted at S.D.M. Hospital, Bikaner, India, 82% primigravida mothers have below average knowledge and 18% primigravida mothers have average knowledge regarding pregnancy induced hypertension (Tertiary Care Centers – MeSH). However contradict with the findings of the study conducted in Ekiti State, Nigeria, where 56.6% of respondent had good level of knowledge, followed by fair and poor level of knowledge on 31.7% and 11.7% respectively (Definition of Tertiary Care – Merriam-Webster).
In this study there was no association of awareness regarding Pregnancy Induced Hypertension with demographic variables which was supported by study conducted at public hospitals in Selangor, Malaysia where level of knowledge was not associated to any socio-demographic variables (Berhe et al., 2020). However contradicted by the study conducted at Sheikh Hasina Medical College, Tangail, Bangladesh, which showed association between socio-demographic variables such as age, area of residence, educational status, occupational status, socioeconomic status of respondents (Debebe Argago et al., 2025). Another study also contradicts the findings conducted at as it shows the association between level of knowledge with demographic variables such as, age, residence, type of family, occupation, education, family income (Tertiary Care Centers – MeSH).
8. CONCLUSION
The main aim of the study was to assess awareness regarding pregnancy induced hypertension among pregnant women attending a tertiary care hospital of Pokhara. In this study, about two-third of pregnant women had moderate level of awareness regarding PIH. The study showed no significance association between level of awareness and any of socio-demographic variables. Awareness raising program need to be conducted in the antenatal clinic to increase the knowledge level of pregnant women about PIH.
9. ACKNOWLEDGEMENTS
The authors sincerely acknowledge the support of colleagues and peers who provided valuable insights during the preparation of this research.
10. CONFLICT OF INTEREST
The authors declare that there are no conflicts of interest relevant to the content of this research.
11. REFERENCES
| Article Type | Research Article |
|---|---|
| Journal Name | Global Journal of Pharmaceutical and Scientific Research |
| ISSN | 3108-0103 |
| Volume | Volume-2 |
| Issue | Issue-3, March-2026 |
| Corresponding Author | Sabita Khadka1, Nirmala Neupane1* |
| Address | School of Health and Allied Sciences, Pokhara University |
| Received | 21 Feb, 2026 |
| Revised | 25 Mar, 2026 |
| Accepted | 05 Mar, 2026 |
| Published | 09 Mar, 2026 |
| Pages | 341-360 |