Literature DB >> 32323654

Prevalence of Maternal Anemia in A Tertiary Care Hospital in Western Nepal.

Anita Lamichhane1, Sharmila Gurung2, Kiran Panthee3, Deekshya Shrestha4.   

Abstract

INTRODUCTION: Maternal anemia is a common problem in developing countries like Nepal accounting for around 30-50% of women becoming anemic during pregnancy. The present study aims to find out the prevalence of maternal anemia in a tertiary care hospital in Western Nepal.
METHODS: A descriptive cross-sectional study was carried out at Devdaha Medical College, Bhaluhi, Rupandehi, Nepal from October 2018 to May 2019 after taking ethical approval from the institutional review committee with the approval number: 012/2018. Three eighty three samples were taken and convenient sampling was done to reach the sample size. Data were collected from the study population after taking consent and entered in a predesigned proforma. It was then entered in an SPSS; point estimate at 95% CI was calculated along with frequency and proportion for binary data.
RESULTS: During the study period, out of 383 mothers, 230 (60.2%) mothers were anemic at 95% CI (10.6-10.8%); of which 172 (74.8%) were moderately anemic while 58 (25.2%) were mild anemic. The mean maternal Haemoglobin was 9.5±1.76SD. The mean maternal age was 24.24±3.26 SD; mean gestational age at the time of delivery was 36.08±1.77 SD.
CONCLUSIONS: The prevalence of maternal anemia in this study is found to be higher than the national data which implies that maternal anemia is still a public health issue which needs to be addressed in spite of safe motherhood program launched by the government of Nepal.

Entities:  

Keywords:  maternal anemia; pregnancy; safe motherhood.

Mesh:

Substances:

Year:  2019        PMID: 32323654      PMCID: PMC8827523     

Source DB:  PubMed          Journal:  JNMA J Nepal Med Assoc        ISSN: 0028-2715            Impact factor:   0.406


INTRODUCTION

Maternal anemia, in developing countries like Nepal is the most common medical condition accounting for around 30-50% of women becoming anemic during pregnancy.[1] WHO defines anemia as haemoglobin<11 grams% in pregnancy, mild anemia (10–10.9 g/dL), moderate anemia (7–9.9 g/dL) and severe anemia (<7 g/dL).[2,3] Globally, about 38.2% of pregnant mothers are anemic.[4] Nepal Demographic Health Survey (2011) shows the prevalence rate of anemia in pregnancy to be 48%.[5] Maternal anemia is associated with Post-Partum Haemorrhage (PPH), Low Birth Weight (LBW) babies, prematurity, Small for Gestational Age (SGA) babies and perinatal death. This gestational outcome is considered as a major public health concern; it is more prevalent in countries with low financial resources.[6] LBW (weight < 2500 grams) are more prone to infant morbidity and mortality.[7] The objective of the study was to find the prevalence of maternal anemia in a tertiary care hospital in Western Nepal.

METHODS

This hospital-based descriptive cross-sectional study was conducted from October 2018 to May 2019 at Devdaha Medical College, Bhaluhi, Rupandehi, Nepal after taking ethical approval from the institutional review committee (IRC) of the college. The present study included 383 pregnant mothers>18 years of age with ANC visits done at Devdaha Medical College with a singleton pregnancy using consecutive sampling method. Those pregnant women with multiple pregnancies, history of preterm delivery and with any obstetrical complications or medical illness except anemia were excluded from the study. We took a written consent from the mother to participate in the study for the mothers. A detailed history was taken from the mother during the presentation for delivery and the data of the mothers was entered in the predesigned proforma. The blood of the mothers were collected from the antecubital vein and stored in the EDTA containing vial and then analysed using the automated hematologic analyzer. Maternal anemia was defined as Hb<11 g/L. All the information including gestational age at the time of delivery, mode of delivery, clinical signs and symptoms, indication for admission in NICU, maternal risk factors, were recorded in the predesigned proforma. The perinatal outcome was defined as the maternal and fetal consequences caused by maternal habits and pregnancy complications during labor and one hour after delivery. The maternal consequences included preterm delivery, prolonged labor and maternal mortality whereas fetal consequences included small for gestational age, low Apgar score, intrauterine growth retardation, and intrauterine death. The fetal outcomes were small for gestational age, congenital anomalies, low birth weight, stillbirth, respiratory distress syndrome, preterm babies, intrauterine growth retardation, low Apgar score less than 5 at 1 min and birth asphyxia. Convenient sampling was done and the sample size was calculated using the formula,[8] Sample size = Z2 ×pq/d2 = 3.84 × 0.48×0.48/ (0.05)2 = 383 Z =1.96 at 95% CI. p= prevalence of maternal anemia, 48%[6] q= 1-p e= margin of error, 5% The total sample size calculated was 383. The mothers were followed until discharge or death. In case of death, the cause of mortality was recorded. Data were checked for any errors or inconsistencies, then entered in a Statistical Package for Social Sciences (SPSS), point estimate at 95% CI was calculated along with frequency and proportion for binary data.

RESULTS

The prevalence of maternal anemia was found out to be 60.2% at 95% CI (10.6-10.8%) in our study. During the study period, 383 mothers and their newborn babies were evaluated. Out of them, 230 (60.2%) mothers were anemic; of which 172 (74.8%) were moderately anemic while 58 (25.2%) were mild anemic. No one was found to be severely anemic. The mean maternal Haemoglobin was 9.5±1.76 SD. There were 366 (95.5%) live-born, stillbirth 03 (0.8%) and IUFD 14 (3.7%) babies. The mean maternal age was 24.24±3.26 SD, (range=16-38 years, median=24.00); mean gestational age at the time of delivery was 36.08±1.77 SD. The mean birth weight of the baby was 2.35±0.374kg. Male: female ratio was 1.4:1.Perinatal mortality in our study was 44.3 per thousand population. In mothers with anemia, low birth weight was seen in 161 (42.0%) at 95% CI (2.312.38) cases and most of the mothers were from rural area 261 (68.1%). The demographic characteristics of our study population are depicted (Table 1).
Table 1

Showing demographic characteristics of the study population.

Characteristicsn (%)
Outcome
Live born366 (95.5)
Stillbirth03 (0.8)
IUFD14 (3.7)
Mode of delivery
Normal delivery183 (47.8)
Caesarean171 (44.6)
Vacuum29 (7.6)
Place of residence
Urban122 (31.9)
Rural261 (68.1)
Sex
Male224 (54.49)
Female158 (41.25)
Ambiguous genitalia01 (0.26)
Anemia in mother
Present213 (55.61)
Absent170 (44.39)
Gestational age
Term delivery (≥37 weeks)162 (42.3)
Preterm delivery (<37 weeks)221 (57.7)
Maternal death
Yes01 (0.3)
No382 (99.7)
Early neonatal death
Yes03 (0.8)
No380 (99.2)
Admission in NICU
No318 (83)
Yes65 (17)
Anemia in baby
Yes25 (6.5)
No358 (93.5)
Congenital anomalies
Absent372 (97)
present11 (2.9)
Among anemic mothers, anemia was found prevalent at 37 weeks of gestation following second most at 35 and 36 weeks respectively (Table 2).
Table 2

Showing the relationship between maternal anemia and gestational age at delivery.

GestationalAnemia in mother
age (weeks)Yes n (%)No n (%)
327 (1.82)00 (0)
3314 (3.7)04 (2.6)
3427 (7.0)25 (16.3)
3545 (11.7)40 (26.1)
3637 (9.7)22 (14.4)
3754 (14.1)24 (15.7)
3828 (7.3)19 (12.4)
3917 (4.4)14 (9.2)
4001 (0.3)05 (3.3)
Total230153
One hundred and sixty one (42%) mothers with maternal anemia delivered low birth weight babies (Table 3).
Table 3

Showing the effect of maternal anemia on the weight of the baby.

Maternal anemiaWeight of the baby (n = 383)
< 2.5 kg (LBW)≥2.5 kg
Present161 (42.0)68 (17.8)
Absent74 (19.3)80 (20.9)
Total235 (61.3)148 (38.7)
Perinatal outcome of babies born to anemic mothers showed live born in 224 (97.4%), low birth weight in 161 (42%), Preterm in 130 (56.5%), IUGR in 55 (23.9%), NICU admission in 39 (17%), anemia in baby in 14 (6.1%), IUFD in 10 (4.3%) and stillbirth in 2 (0.9%) (Table 4).
Table 4

Showing the perinatal outcome of maternal anemia.

CharacteristicsAnemia in mother (n = 383)
Yes n (%)No n (%)
Live born224 (97.4)142 (0.9)
IUFD10 (4.3)04 (2.6)
Still birth02 (0.9)01 (0.7)
IUGR55 (23.9)15 (9.8)
Low birth weight161 (42.0)74 (19.3)
Preterm130 (56.5)91 (59.5)
Admission in NICU39 (17.0)26 (17.0)
Anaemia in the baby14 (6.1)11 (7.2)

DISCUSSION

During the study period, 383 mothers along with their newborns were included, of which 230 (60.2%) proportions of mothers were anemic. The prevalence of maternal anemia was found out to be 60.2% at 95% CI (10.6-10.8%) in our study. This is similar to a study reported from India 9 (60.38%) and 10 (62.3%) while it is in contrast to some studies done in other parts of Nepal which showed a low prevalence rate ranging from 42 to 48%.[11-12] NDHS data set 2016 showed a prevalence rate of 40%.[13] Our study revealed 74.8% of mothers were moderately anemic while 58 (25.2%) were mildly anemic. This indicates that the nutritional significance of nutrition is subordinate and awareness is made to the rectification of anemia in the pre-pregnancy period. Our study showed mean maternal haemoglobin to be 9.5±1.76 gm/dL which is near to comparable from a study done in Nepal[14] which showed the mean maternal haemoglobin concentration to be 11.14 ± 1.39 gm/dL. Mean maternal age in our study was a 24.24±3.26 year which is similar to a study done by Timilsina et al.[15] Mean gestational age at delivery was 36.08±1.77 which is similar to a study done in England[16] and in Nepal.[17] This study showed that the maximum number of mothers 261 (68.1%) were from the rural area. The percentage of low birth weight babies were more in mothers from a rural area 24.6% as compared to urban areas 13.5%. This was similar to a study done by Yadav et al where 84% mothers residing in rural areas of terrain region of Nepal had a proportion of LBW in rural 21.71% and urban 20.83% areas.[18] Our study showed the mean birth weight to be 2.35±0.37 kg. Low Birth Weight was seen in 161 (42.0%) cases of anemic mothers which is very high and is in contrary to a study done by Acharya et al which showed to be only 19.4%[19] and 9.8% in a study done in Nepal.[18] Another study showed the prevalence rate of 23.6%.[20] In the present study out of the total low birth weight babies, 56.2% were males and 43.8% were female which is similar to a study done by Ahmed et al[20] while it is in contrast to a study done by Hussain et al in Pakistan which showed the incidence of male 45.2% and female 55%.[21] Our study showed mothers having preterm delivery were 23.4% and the proportion of low birth weight was high. A study from Karnataka showed the preterm birth was 38%.[22] Perinatal mortality in our study was 44.3 per thousand population which is similar to a study done 42%.[23]

CONCLUSIONS

The high prevalence rate of maternal anemia in this study implies that maternal anemia is still a public health issue which needs to be addressed in spite of the safe motherhood program launched by the government of Nepal. Low maternal haemoglobin levels are associated with increased risk of stillbirth and IUD, and LBW babies. The prevalence of low birth weight was found to be significantly high among institutional deliveries of this region of the country.

Conflict of Interest:

None.
  10 in total

1.  Management of Iron Deficiency Anemia in Pregnancy in India.

Authors:  Rimpy Tandon; Arihant Jain; Pankaj Malhotra
Journal:  Indian J Hematol Blood Transfus       Date:  2018-03-14       Impact factor: 0.900

2.  Obstetric benefits of health insurance: A comparative analysis of obstetric indices and outcome of enrollees and non-enrollees in southeast Nigeria.

Authors:  Lucky Osaheni Lawani; Chukwuemeka Anthony Iyoke; Robinson Chukwudi Onoh; Peter Onubiwe Nkwo; Isa Ayuba Ibrahim; Kenneth Chinedu Ekwedigwe; Atombosoba Adokiye Ekine
Journal:  J Obstet Gynaecol       Date:  2016-05-18       Impact factor: 1.246

3.  Prevalence and obstetric outcome of women with red cell antibodies in pregnancy at the Leeds Teaching Hospitals NHS Trust, West Yorkshire, England.

Authors:  Ibraheem Awowole; Kelly Cohen; Jennifer Rock; Colette Sparey
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2019-04-17       Impact factor: 2.435

Review 4.  How to calculate sample size for different study designs in medical research?

Authors:  Jaykaran Charan; Tamoghna Biswas
Journal:  Indian J Psychol Med       Date:  2013-04

5.  Correlation between maternal and umbilical cord blood in pregnant women of Pokhara Valley: a cross sectional study.

Authors:  Sameer Timilsina; Sirisa Karki; Aajeevan Gautam; Pujan Bhusal; Gita Paudel; Deepak Sharma
Journal:  BMC Pregnancy Childbirth       Date:  2018-03-21       Impact factor: 3.007

6.  Prospective study on prevalence of anemia of pregnant women and its outcome: A community based study.

Authors:  Ravishankar Suryanarayana; Muninarayana Chandrappa; Anil Navale Santhuram; S Prathima; S R Sheela
Journal:  J Family Med Prim Care       Date:  2017 Oct-Dec

7.  Determinants of prenatal anemia in Ethiopia.

Authors:  Abera Abay; Haile Woldie Yalew; Amare Tariku; Ejigu Gebeye
Journal:  Arch Public Health       Date:  2017-11-06

8.  A health facility based case-control study on determinants of low birth weight in Dassie town, Northeast Ethiopia: the role of nutritional factors.

Authors:  Semira Ahmed; Kalkidan Hassen; Tolassa Wakayo
Journal:  Nutr J       Date:  2018-11-06       Impact factor: 3.271

9.  Maternal Factors and Utilization of the Antenatal Care Services during Pregnancy Associated with Low Birth Weight in Rural Nepal: Analyses of the Antenatal Care and Birth Weight Records of the MATRI-SUMAN Trial.

Authors:  Dilaram Acharya; Jitendra Kumar Singh; Rajendra Kadel; Seok-Ju Yoo; Ji-Hyuk Park; Kwan Lee
Journal:  Int J Environ Res Public Health       Date:  2018-11-03       Impact factor: 3.390

10.  Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001-2016.

Authors:  Pramesh Raj Ghimire; Kingsley E Agho; Andre M N Renzaho; Monjura K Nisha; Michael Dibley; Camille Raynes-Greenow
Journal:  BMC Pregnancy Childbirth       Date:  2019-03-11       Impact factor: 3.007

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.