# Proportion of Immediate Postpartum Anaemia and Associated Factors among Postnatal Mothers in Northwest Ethiopia: A Cross-Sectional Study

Authors: Asenake Abebaw; Temesgen Worku Gudayu; Bayew Kelkay
Journal: Anemia
 (2020)

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## Abstract

Background. Anaemia is a major global health problem, especially in developing countries. Postpartum anaemia hurts both maternal and newborn baby health. Anaemia in pregnancy is sufficiently emphasized; however, very little attention has been paid to postpartum anaemia in Ethiopia. Therefore, this study aimed to investigate the proportion of immediate postpartum anaemia and associated factors among postpartum mothers in Debre Markos Referral Hospital. Methods. Institutional-based cross-sectional study was conducted among 424 study participants from August 1st to October 30th, 2019. A systematic random sampling technique was employed to select the study participants. Data were collected through both face-to-face interview and maternal chart review by using a pretested questionnaire. Data were cleaned, coded, and entered using Epi Data version 4.6.0.0 and then exported to SPSS version 24 for analysis. First, binary logistic regression was applied to identify candidate variables for multivariable regression. Then, variables at p value <0.2 were entered into a multivariable logistic regression to control possible confounders. Finally, variables at p value <0.05 were considered as statistically significant. Results. The proportion of immediate postpartum anaemia was 24.3%. Frequency of antenatal care (ANC) visits <4 times [AOR = 2.40; 95% CI (1.29, 4.43)], antepartum haemorrhage (APH) [AOR = 5.08; 95% CI (1.91, 13.55)], postpartum haemorrhage (PPH) [AOR = 4.47; 95% CI (2.25, 8.88)], giving birth assisted by instruments (vacuum or forceps) [AOR = 3.99; 95% CI (1.42, 11.23)], poor adherence to iron and folic acid (IFA) [AOR = 2.52; 95% CI (1.06, 6.04)], and midupper arm circumference (MUAC) <23 cm [AOR = 3.25; 95% CI (1.87, 5.65)] were the predictors. Conclusion. The proportion of immediate postpartum anaemia was a moderate public health concern. ANC, APH, PPH, mode of delivery, adherence to IFA supplementation, and MUAC measurement were the factors affecting the magnitude of anaemia. Therefore, interventions that would address the above mentioned factors need to be implemented.


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## Body

## 1. Introduction

The postnatal period is a critical phase in the lives of mothers and newborn babies. Even though most maternal and infant deaths occur during this time, this is the most neglected period for the provision of quality of care, especially in low resource setting countries [1].There is no consensus on the definition of postpartum anaemia. Nevertheless, as it can be inferred from the definition given by different scholars, postpartum anaemia (PPA) occurs when haemoglobin level <11 gm/dl at 1 week and <12 gm/dl at 8 weeks of the postpartum period [2, 3]. Accordingly, haemoglobin level 10–10.9 gm/dl is categorized as mild anaemia, 7–9.9 gm/dl and <7 gm/dl are categorized as moderate and severe anaemia, respectively [4]. Furthermore, even if there is no clear agreement as to the right time to determine the postpartum haemoglobin level, it is usually recommended to check on the first postpartum day [5, 6].The prevalence of anaemia among postnatal mothers in developed countries ranges from 10% to 30% and in developing countries 50% to 80% [2, 6]. In Ethiopia despite of the 2020 anaemia reduction plan, postpartum anaemia among lactating women increased from 18% in 2011 to 28.6% in 2016 [7, 8]. Anaemia is an indirect cause of maternal morbidity and mortality which accounts for 2% of total maternal mortality in Ethiopia [8, 9]. Blood loss and anaemia were interrelated causes of maternal complications. Due to bleeding, postnatal mothers lose a significant amount of iron during labour and delivery [10, 11]. PPA is also strongly associated with poor quality of life, palpitation, increase maternal infection, fatigue, reduced cognitive ability, emotional instability, and postpartum depression. These outcomes may, in turn, result in poor mother-child bonding, inability to provide care and breastfeeding, or slow infant development [2, 12, 13].The studies conducted in different parts of the world revealed that factors like young maternal age (<21 years) [14], low educational status of the mother [15], rural residence [16], cesarean mode delivery, episiotomy assisted delivery, prenatal anaemia [17–19], antepartum haemorrhage (APH), postpartum haemorrhage (PPH) [20], antenatal care (ANC) visit less than four [21], reactive (positive) in Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) test, malaria [15, 16, 22], and poor adherence of iron and folic acid (IFA) intake during pregnancy [15, 23–25] were some of the independent factors significantly associated with the occurrence of postpartum anaemia. The reduction of postpartum anaemia is a component of target 2 (50% anaemia reduction plan) of World Health Organizations’ (WHO) to achieve sustainable development goals.Some studies were conducted in Ethiopia on anaemia during pregnancy, yet postpartum anaemia screening is the least emphasized illness in the postpartum period. Early diagnosis and identifying the possible risk factors are helpful to manage PPA on time before further complications developed. This study might provide insight into postpartum anaemia to health care providers to propose targeted screening and intervention measures for those whose haemoglobin level <11 gm/dl. Furthermore, researchers might also be benefited by using this result as baseline data to conduct further community-based studies covering a wide area. Several factors contribute to PPA and it can be difficult to generalize the causes for all mothers who reside in a different area. Therefore, this study was intended to assess the proportion and associated factors of anaemia among immediate postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia.


## 2. Material and Methods

### 2.1. Study Setting, Design, and Period

This study was conducted in Debre Markos Referral Hospital which is located in East Gojjam Zone, Northwest Ethiopia, and 299 km far from Addis Ababa, the capital city of Ethiopia. This hospital serves more than 3.5 million people who reside in the town and neighbouring areas. In the maternity department, a total of 7 gynaecologists, 1 emergency surgeon, 1 MSc clinical midwife, 14 general practitioners, and 36 midwives work as health care providers. This department has 60 beds for inpatient clients to serve high-risk mothers, gynecologic case-patients, and postnatal mothers. The annual delivery report showed that 6017 mothers gave childbirth in this hospital. The study was conducted by using an institutional-based cross-sectional study design method and data was collected from August 1st to October 30th, 2019.


### 2.2. Source and Study Population

All postnatal mothers who gave birth in Debre Markos Referral Hospital and mothers who gave birth somewhere else but came to the hospital within 24 hours of the postpartum period were considered as source population. Mothers who fulfilled the criteria to be a source population and avail themselves during the data collection period were the study population.


### 2.3. Inclusion and Exclusion Criteria

All postnatal mothers who gave birth in Debre Markos Referral Hospital and mothers who gave birth somewhere else but arrived at the hospital within 24 hours during the data collection period were included in this study. Mothers who were anaemic before conception and/or during pregnancy were excluded in this study.


### 2.4. Sample Size Determination

Sample size calculation was based on single population proportion formula by using the following assumption: 50% proportion since there were no the same previous studies, 95% confidence level, and 5% margin of error, and then the calculated sample size was 385. Finally, by adding a 10% nonresponse rate, the final sample size was 424. Sample size determination by using the second objective (statistically significant factors) was calculated by Epi info version 7.2.1, and the maximum sample size was 312. Therefore, the sample calculated by the first objective was larger than the sample size determined by the second objective. Therefore, the final sample size for this study was 424.


### 2.5. Sampling Technique and Procedure

Systematic random sampling was employed to select the study participants. Based on 3 consecutive previous month's average number of delivery data (497), bed numbers in maternity unit (60), and sample size (424); interval was computed. Beds occupied by postnatal mothers were selected with a systematic random sampling technique every 8th bed interval. After written informed consent was taken, data were collected through interviews and chart reviews. Blood samples were collected and processed using the standard procedures for haemoglobin determination at 24 hours before mothers have discharged from the hospital.


### 2.6. Study Variables

#### 2.6.1. Dependent Variable

Dependent variable is immediate postpartum anaemia.


#### 2.6.2. Independent Variables

Sociodemographic related variables include age, maternal education level, maternal occupation, religion, residence, marital status, husband education level, husband occupation, and estimated average monthly income. Obstetrical related variables include parity, antepartum haemorrhage, multiple pregnancies, abortion, interpregnancy interval, antenatal care visit, frequency of antenatal care visit, gestational age at initial (first) ANC visit, place of delivery, mode of delivery, duration of second-stage labour, episiotomy, perineal tear, the weight of newborn, and postpartum haemorrhage. Coexisting infections related variables include helminths infestation, malaria infection, medical disease during pregnancy, HIV/AIDS, syphilis, and urinary tract infection. Dietary and micronutrient uptake related variables include hot drink (tea, coffee, or milk) when she has taken iron, meal frequency per day, adherence of IFA, and midupper arm circumference (MUAC).


### 2.7. Operational Definitions

Immediate postpartum period is the first 24 hours after childbirth [26].Postpartum anaemia is when the haemoglobin level is less than 11 gm/dl at 24 hours of the postpartum period [19, 27].Adherence of iron and folic acid supplementation means women who had taken iron folate supplements ≥90 days during the most recent pregnancy [8].


### 2.8. Data Collection Tools and Procedures

The questionnaire was developed after reviewing different pieces of literature [20, 21, 28] conducted in different parts of the world. First, the questionnaire was prepared in English and translated into a local language Amharic and then backto English to keep consistency. Two BSc midwives and one master midwife were recruited for data collection and supervision, respectively. After taking written informed consent, data were collected through both face-to-face interview and retrospective maternal chart review by using a semistructured pretested questionnaire. MUAC was measured via tape measures on the nondominant hand, mostly left hand. The result was interpreted to the United Nation International Children’s Emergency Fund (UNICEF) and WHO recommendations of cutoff point <23 cm as undernourished and ≥23 cm as well nourished. About 1-2 milliliter of venous blood was collected from each study participant aseptically for haemoglobin estimation. Then, haemoglobin was determined using automated blood analyzer Cell-Dyne 1800 (Abbot Laboratories Diagnostic Division, USA) by experienced laboratory technologist. Finally, the level of haemoglobin was collected and attached to their respective charts. At the end, anaemic mothers were managed with iron and folate or transfused blood based on their haemoglobin levels and advised on iron-rich diets intake.


### 2.9. Data Quality Control

The training was provided for both data collectors and a supervisor. The questionnaire was pretested at Debre Berhan referral hospital with 5% of the sample size. Completeness, clarity, and appropriateness of the questionnaire were modified accordingly after the pretest. Completeness of data was checked daily.


### 2.10. Data Processing and Analysis

Collected data were checked for completeness, consistency, clarity, and missed values. Then, it was cleaned, coded, and entered using Epi Data version 4.6.0.0 and then exported to SPSS (Statistical Package for Social Science) version 24 for analysis. Descriptive analysis: frequency, proportion, mean, median, and standard deviation were computed and presented with texts, tables, and graphs. The normality assumption was checked with a histogram and box plot. Multicollinearity and chi-square assumptions were done. Then, binary logistic regression was performed and variables atp value <0.2 were entered into a multivariable logistic regression to control possible confounders. Crude and adjusted odds ratios with 95% confidence interval were computed. Finally, variables at p value <0.05 were considered as statistically significant.


## 2.1. Study Setting, Design, and Period

This study was conducted in Debre Markos Referral Hospital which is located in East Gojjam Zone, Northwest Ethiopia, and 299 km far from Addis Ababa, the capital city of Ethiopia. This hospital serves more than 3.5 million people who reside in the town and neighbouring areas. In the maternity department, a total of 7 gynaecologists, 1 emergency surgeon, 1 MSc clinical midwife, 14 general practitioners, and 36 midwives work as health care providers. This department has 60 beds for inpatient clients to serve high-risk mothers, gynecologic case-patients, and postnatal mothers. The annual delivery report showed that 6017 mothers gave childbirth in this hospital. The study was conducted by using an institutional-based cross-sectional study design method and data was collected from August 1st to October 30th, 2019.


## 2.2. Source and Study Population

All postnatal mothers who gave birth in Debre Markos Referral Hospital and mothers who gave birth somewhere else but came to the hospital within 24 hours of the postpartum period were considered as source population. Mothers who fulfilled the criteria to be a source population and avail themselves during the data collection period were the study population.


## 2.3. Inclusion and Exclusion Criteria

All postnatal mothers who gave birth in Debre Markos Referral Hospital and mothers who gave birth somewhere else but arrived at the hospital within 24 hours during the data collection period were included in this study. Mothers who were anaemic before conception and/or during pregnancy were excluded in this study.


## 2.4. Sample Size Determination

Sample size calculation was based on single population proportion formula by using the following assumption: 50% proportion since there were no the same previous studies, 95% confidence level, and 5% margin of error, and then the calculated sample size was 385. Finally, by adding a 10% nonresponse rate, the final sample size was 424. Sample size determination by using the second objective (statistically significant factors) was calculated by Epi info version 7.2.1, and the maximum sample size was 312. Therefore, the sample calculated by the first objective was larger than the sample size determined by the second objective. Therefore, the final sample size for this study was 424.


## 2.5. Sampling Technique and Procedure

Systematic random sampling was employed to select the study participants. Based on 3 consecutive previous month's average number of delivery data (497), bed numbers in maternity unit (60), and sample size (424); interval was computed. Beds occupied by postnatal mothers were selected with a systematic random sampling technique every 8th bed interval. After written informed consent was taken, data were collected through interviews and chart reviews. Blood samples were collected and processed using the standard procedures for haemoglobin determination at 24 hours before mothers have discharged from the hospital.


## 2.6. Study Variables

### 2.6.1. Dependent Variable

Dependent variable is immediate postpartum anaemia.


### 2.6.2. Independent Variables

Sociodemographic related variables include age, maternal education level, maternal occupation, religion, residence, marital status, husband education level, husband occupation, and estimated average monthly income. Obstetrical related variables include parity, antepartum haemorrhage, multiple pregnancies, abortion, interpregnancy interval, antenatal care visit, frequency of antenatal care visit, gestational age at initial (first) ANC visit, place of delivery, mode of delivery, duration of second-stage labour, episiotomy, perineal tear, the weight of newborn, and postpartum haemorrhage. Coexisting infections related variables include helminths infestation, malaria infection, medical disease during pregnancy, HIV/AIDS, syphilis, and urinary tract infection. Dietary and micronutrient uptake related variables include hot drink (tea, coffee, or milk) when she has taken iron, meal frequency per day, adherence of IFA, and midupper arm circumference (MUAC).


## 2.6.1. Dependent Variable

Dependent variable is immediate postpartum anaemia.


## 2.6.2. Independent Variables

Sociodemographic related variables include age, maternal education level, maternal occupation, religion, residence, marital status, husband education level, husband occupation, and estimated average monthly income. Obstetrical related variables include parity, antepartum haemorrhage, multiple pregnancies, abortion, interpregnancy interval, antenatal care visit, frequency of antenatal care visit, gestational age at initial (first) ANC visit, place of delivery, mode of delivery, duration of second-stage labour, episiotomy, perineal tear, the weight of newborn, and postpartum haemorrhage. Coexisting infections related variables include helminths infestation, malaria infection, medical disease during pregnancy, HIV/AIDS, syphilis, and urinary tract infection. Dietary and micronutrient uptake related variables include hot drink (tea, coffee, or milk) when she has taken iron, meal frequency per day, adherence of IFA, and midupper arm circumference (MUAC).


## 2.7. Operational Definitions

Immediate postpartum period is the first 24 hours after childbirth [26].Postpartum anaemia is when the haemoglobin level is less than 11 gm/dl at 24 hours of the postpartum period [19, 27].Adherence of iron and folic acid supplementation means women who had taken iron folate supplements ≥90 days during the most recent pregnancy [8].


## 2.8. Data Collection Tools and Procedures

The questionnaire was developed after reviewing different pieces of literature [20, 21, 28] conducted in different parts of the world. First, the questionnaire was prepared in English and translated into a local language Amharic and then backto English to keep consistency. Two BSc midwives and one master midwife were recruited for data collection and supervision, respectively. After taking written informed consent, data were collected through both face-to-face interview and retrospective maternal chart review by using a semistructured pretested questionnaire. MUAC was measured via tape measures on the nondominant hand, mostly left hand. The result was interpreted to the United Nation International Children’s Emergency Fund (UNICEF) and WHO recommendations of cutoff point <23 cm as undernourished and ≥23 cm as well nourished. About 1-2 milliliter of venous blood was collected from each study participant aseptically for haemoglobin estimation. Then, haemoglobin was determined using automated blood analyzer Cell-Dyne 1800 (Abbot Laboratories Diagnostic Division, USA) by experienced laboratory technologist. Finally, the level of haemoglobin was collected and attached to their respective charts. At the end, anaemic mothers were managed with iron and folate or transfused blood based on their haemoglobin levels and advised on iron-rich diets intake.


## 2.9. Data Quality Control

The training was provided for both data collectors and a supervisor. The questionnaire was pretested at Debre Berhan referral hospital with 5% of the sample size. Completeness, clarity, and appropriateness of the questionnaire were modified accordingly after the pretest. Completeness of data was checked daily.


## 2.10. Data Processing and Analysis

Collected data were checked for completeness, consistency, clarity, and missed values. Then, it was cleaned, coded, and entered using Epi Data version 4.6.0.0 and then exported to SPSS (Statistical Package for Social Science) version 24 for analysis. Descriptive analysis: frequency, proportion, mean, median, and standard deviation were computed and presented with texts, tables, and graphs. The normality assumption was checked with a histogram and box plot. Multicollinearity and chi-square assumptions were done. Then, binary logistic regression was performed and variables atp value <0.2 were entered into a multivariable logistic regression to control possible confounders. Crude and adjusted odds ratios with 95% confidence interval were computed. Finally, variables at p value <0.05 were considered as statistically significant.


## 3. Results

### 3.1. Sociodemographic Characteristics

Four hundred twenty-four immediate postnatal mothers were involved in this study. The mean age of the study population was 27.79 years with a standard deviation of ±5.12. Based on the age category, 241 (56.8%) study participants were with the age range of 25–34 years. More than one-third (35%) of mothers were unable to read and write and two hundred seventy-seven (65.3%) of mothers were housewives by their occupation. Almost all (95.5%) were orthodox Christian religion followers. More than half (55.7%) of the participants were from urban areas. More than one-third (40.9%) of husbands were farmers. Most of the participants’ husband might be predominantly involved in farming activities and urban farming is also a common practice these days. Regarding estimated average monthly income, 158 (39.2%) of the respondents’ income was within the range of 1000–3000 birr with a median income of 3500 birr and IQR ± 3500 birr. (Table1).Table 1
Sociodemographic related characteristics of postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
VariablesCategoryFrequencyPercent (%)Age15–2412128.625–3424156.835–496214.6Maternal education statusUnable to read and write14835.0Able to read and write4911.6Primary class completed5513.0Secondary class completed8119.1Diploma and above9021.3Occupation of respondentHousewife27765.3Government employee7317.2Private employee255.9Merchant389Others∗112.6ReligionOrthodox40595.5Muslim143.3Protestant51.2ResidenceRural18844.3Urban23655.7Marital statusMarried40896.2Unmarried163.8Husband education levelUnable to read and write13332.3Able to read and write317.5Primary class completed5513.4Secondary class completed8019.4Diploma and above11327.4Husband occupationGovernment employee10425.5Private employee6816.7Merchant4912Farmer16740.9Others∗204.9Monthly income (ET birr)<1000184.51000–300015839.23001–500010225.3≥500112531.0∗Others represent daily labourers and students for both occupation of study participants (mothers) and husbands.


### 3.2. Obstetrical Related Factors

Among the total 424 study participants, 218 (51.5%) were primipara mothers. Fifty-six (25%) of the mothers had a short interpregnancy interval which was less than two years. A majority (88.4%) of the study participants had antenatal care follow-up during the most recent pregnancy. From those, more than half (60.6%) of the mothers had ≥4 ANC visits, and two hundred fifty-nine (69.1%) of them started the follow-up before 16 weeks of gestation. Of the total study participants, 27 (6.4%) of them had an antepartum haemorrhage in the latest pregnancy. Almost all (95.0%) of the study participants gave birth in health institutions and more than half (52.6%) of the study participants gave childbirth through cesarean section, and 89.5% of the operations were emergency/unplanned. (Table2).Table 2
Obstetrical related characteristics of postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
VariablesCategoryFrequencyPercent (%)ParityPrimipara21851.5Para 2–417140.2Grand multiparous358.3History of abortionYes7131.6No15468.4Interpregnancy interval in years<25625.0≥216875.0Attend ANC during this pregnancyYes37588.4No4911.6GA when ANC visit initiated in weeks<1625969.116–246918.425–304512.031–3420.5Frequency of ANC visits (times)<414839.4≥422760.6Antepartum haemorrhageYes276.4No39793.6Multiple pregnanciesYes235.4No40194.6Place of birthHealth institution40395.0Home215.0Mode of deliverySVD17641.5IAVD255.9C/S22352.6Type of C/SElective2510.5Emergency19889.5Manual removal of placentaYes204.7No40495.3EpisiotomyYes194.5No40595.5Prolonged second stageYes327.5No39292.5Perineal tearYes419.7No38390.3Weight of newborn in gram<25007217.02500–399934882.1≥400040.9Postpartum haemorrhageYes6014.2No36485.8ANC: antenatal care, GA: gestational age, IAVD: instrumental assisted vaginal delivery, SVD: spontaneous vaginal delivery, and C/S: cesarean section.


### 3.3. Coexisting Infection-Related Factors

One hundred twelve (26.5%) of the respondents had clinically confirmed medical and parasitic illness before or/and during the latest pregnancy. Among these, preeclampsia was the most frequent complaint (33.60%), whereas tuberculosis was the least one (2.64%). (Figure1).Figure 1
Magnitude of coexisting infections among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019.∗Others include liver disease, heart disease, and pneumonia.


### 3.4. Dietary and Micronutrients Utilization Related Factors

Three hundred sixty-eight of the study participants were started on IFA tablets during the most recent pregnancy. Among these, 176 (51.5%) were started before 16 weeks of gestation, whereas 45.9% and 2.6% were started during second- and third-trimester pregnancy, respectively. Among those mothers who took IFA tablets, only 93 (27.3%) of them had good adherence. Among IFA tablets supplied mothers, 135 (39.5%) participants drank hot drink when they took iron. More than two-thirds of 322 (76.1%) of the mothers ate three or fewer times per day during pregnancy. Close to half (46%) of the mothers’ midupper arm circumference was less than 23 cm. (Table3).Table 3
Dietary and micronutrient uptake characteristics of postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
VariablesCategoryFrequencyPercent (%)IFA tablet took during pregnancyYes36886.8No5613.2GA when IFA tablet started<16 weeks17651.520–24 weeks9026.326–30 weeks6719.630–34 weeks92.6Adherence to iron and folic acid supplementationPoor adherence24872.7Good adherence9327.3Hot drink while taking ironYes13539.5No20760.5Frequency of meal per day≤332276.1>310123.9Midupper arm circumference in centimeter (cm)<2319546.0≥2322954.0IFA: iron and folic acid, GA: gestational age.


### 3.5. Proportion and Associated Factors of Immediate Postpartum Anaemia

#### 3.5.1. The Proportion of Immediate Postpartum Anaemia

Postpartum anaemia was observed among 103 (24.3%) mothers. Postpartum haemoglobin concentrations of study participants ranged from 6.70 gm/dl to 17.50 gm/dl with a mean value of 12.4 gm/dl and SD ± 1.88 gm/dl. From the total 24.3% anaemic mothers, 13.4%, 10.2%, and 0.7% of them were categorized as mild, moderate, and severe anaemia, respectively (Figure2).Figure 2
Categories of immediate postpartum anaemia among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).


#### 3.5.2. Associated Factors of Postpartum Anaemia

In binary logistic regression analysis, maternal educational level (being unable to read and write and able to read and write), rural residence, home delivery, preterm delivery, and less frequent meal per day were variables associated with immediate PPA withp value <0.2, but all these variables were eliminated by backward multivariate regression. In multivariable logistic regression, antenatal care visit <4 times, antepartum haemorrhage, instrumental delivery, postpartum haemorrhage, poor adherence to IFA supplementation, and MUAC <23 cm were independent variables significantly associated with p value <0.05.The odds of postpartum anaemia were higher among postnatal women who had <4 antenatal care visits [AOR = 2.40; 95% CI (1.29, 4.43)]. The higher likelihood of postpartum anaemia was observed among postnatal women who were experienced APH and PPH compared to their counterparts [AOR = 5.08; 95% CI (1.91, 13.55)] and [AOR = 4.47; 95% CI (2.25, 8.88)], respectively. Mothers who gave birth by instrumental assisted vaginal delivery were almost 4 times more likely to be anaemic compared to those who gave birth through spontaneous vaginal delivery [AOR = 3.99; 95% CI (1.42, 11.23)]. Mothers who poorly adhere to IFA supplementation were 2.5 times more likely to develop postpartum anaemia compared to those who had good adherence [AOR = 2.52; 95% CI (1.06, 6.04)]. Increased odds of anaemia were noted among postpartum women with MUAC measurements of <23 cm [AOR = 3.25; 95% CI (1.87, 5.65)] (Table4).Table 4
Logistic regression showing factors associated with immediate postpartum anaemia among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
Independent variablesPostpartum anaemiaCOR 95% CIAOR 95%CIYesNoMaternal education statusUnable to read and write55935.32 (2.48–11.44)2.00 (0.81–4.88)Able to read and write14353.60 (1.43–9.09)2.05 (0.71–5.87)Primary school class10452.00 (0.76–5.23)1.66 (0.57–4.80)Secondary school class15662.04 (0.85–4.98)1.09 (0.40–2.99)Diploma and above98111ResidenceRural591292.00 (1.27–3.13)0.63 (0.31–1.29)Urban4419211Frequency of ANC visits<4 times461023.10 (1.84–5.25)2.40 (1.29–4.43)∗≥4 times2919811Antepartum haemorrhageYes17106.15 (2.71–13.9)5.08 (1.91–13.55)∗No8631111GA at deliveryPreterm31581.96 (1.18–3.25)1.41 (0.73–2.71)Term6925511Place of birthHealth institution9231111Home11103.72 (1.61–9.00)1.92 (0.60–6.19)Mode of deliverySVD3913711IAVD13123.81 (1.57–8.77)3.99 (1.42–11.23)∗Cesarean section511721.04 (0.65–1.67)1.06 (0.59–1.88)Postpartum haemorrhageYes36246.65 (3.72–11.89)4.47 (2.25–8.88)∗No6729711Adherence of IFA supplementationPoor adherence531952.88 (1.31–6.33)2.52 (1.06–6.04)∗Good adherence88511Frequency of meal per day≤3872351.97 (1.09–3.54)1.21 (0.59–2.48)>3168511Midupper arm circumference<23 cm711243.53 (2.12–5.66)3.25 (1.87–5.65)∗≥23 cm3219711GA: gestational age; SVD: spontaneous vaginal delivery; IAVD: instrumental assisted vaginal delivery; IFA: iron and folic acid; AOR: adjusted odds ratio; COR: crude odds ratio; 1: reference and∗significantly associated with p value <0.05.


## 3.1. Sociodemographic Characteristics

Four hundred twenty-four immediate postnatal mothers were involved in this study. The mean age of the study population was 27.79 years with a standard deviation of ±5.12. Based on the age category, 241 (56.8%) study participants were with the age range of 25–34 years. More than one-third (35%) of mothers were unable to read and write and two hundred seventy-seven (65.3%) of mothers were housewives by their occupation. Almost all (95.5%) were orthodox Christian religion followers. More than half (55.7%) of the participants were from urban areas. More than one-third (40.9%) of husbands were farmers. Most of the participants’ husband might be predominantly involved in farming activities and urban farming is also a common practice these days. Regarding estimated average monthly income, 158 (39.2%) of the respondents’ income was within the range of 1000–3000 birr with a median income of 3500 birr and IQR ± 3500 birr. (Table1).Table 1
Sociodemographic related characteristics of postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
VariablesCategoryFrequencyPercent (%)Age15–2412128.625–3424156.835–496214.6Maternal education statusUnable to read and write14835.0Able to read and write4911.6Primary class completed5513.0Secondary class completed8119.1Diploma and above9021.3Occupation of respondentHousewife27765.3Government employee7317.2Private employee255.9Merchant389Others∗112.6ReligionOrthodox40595.5Muslim143.3Protestant51.2ResidenceRural18844.3Urban23655.7Marital statusMarried40896.2Unmarried163.8Husband education levelUnable to read and write13332.3Able to read and write317.5Primary class completed5513.4Secondary class completed8019.4Diploma and above11327.4Husband occupationGovernment employee10425.5Private employee6816.7Merchant4912Farmer16740.9Others∗204.9Monthly income (ET birr)<1000184.51000–300015839.23001–500010225.3≥500112531.0∗Others represent daily labourers and students for both occupation of study participants (mothers) and husbands.


## 3.2. Obstetrical Related Factors

Among the total 424 study participants, 218 (51.5%) were primipara mothers. Fifty-six (25%) of the mothers had a short interpregnancy interval which was less than two years. A majority (88.4%) of the study participants had antenatal care follow-up during the most recent pregnancy. From those, more than half (60.6%) of the mothers had ≥4 ANC visits, and two hundred fifty-nine (69.1%) of them started the follow-up before 16 weeks of gestation. Of the total study participants, 27 (6.4%) of them had an antepartum haemorrhage in the latest pregnancy. Almost all (95.0%) of the study participants gave birth in health institutions and more than half (52.6%) of the study participants gave childbirth through cesarean section, and 89.5% of the operations were emergency/unplanned. (Table2).Table 2
Obstetrical related characteristics of postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
VariablesCategoryFrequencyPercent (%)ParityPrimipara21851.5Para 2–417140.2Grand multiparous358.3History of abortionYes7131.6No15468.4Interpregnancy interval in years<25625.0≥216875.0Attend ANC during this pregnancyYes37588.4No4911.6GA when ANC visit initiated in weeks<1625969.116–246918.425–304512.031–3420.5Frequency of ANC visits (times)<414839.4≥422760.6Antepartum haemorrhageYes276.4No39793.6Multiple pregnanciesYes235.4No40194.6Place of birthHealth institution40395.0Home215.0Mode of deliverySVD17641.5IAVD255.9C/S22352.6Type of C/SElective2510.5Emergency19889.5Manual removal of placentaYes204.7No40495.3EpisiotomyYes194.5No40595.5Prolonged second stageYes327.5No39292.5Perineal tearYes419.7No38390.3Weight of newborn in gram<25007217.02500–399934882.1≥400040.9Postpartum haemorrhageYes6014.2No36485.8ANC: antenatal care, GA: gestational age, IAVD: instrumental assisted vaginal delivery, SVD: spontaneous vaginal delivery, and C/S: cesarean section.


## 3.3. Coexisting Infection-Related Factors

One hundred twelve (26.5%) of the respondents had clinically confirmed medical and parasitic illness before or/and during the latest pregnancy. Among these, preeclampsia was the most frequent complaint (33.60%), whereas tuberculosis was the least one (2.64%). (Figure1).Figure 1
Magnitude of coexisting infections among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019.∗Others include liver disease, heart disease, and pneumonia.


## 3.4. Dietary and Micronutrients Utilization Related Factors

Three hundred sixty-eight of the study participants were started on IFA tablets during the most recent pregnancy. Among these, 176 (51.5%) were started before 16 weeks of gestation, whereas 45.9% and 2.6% were started during second- and third-trimester pregnancy, respectively. Among those mothers who took IFA tablets, only 93 (27.3%) of them had good adherence. Among IFA tablets supplied mothers, 135 (39.5%) participants drank hot drink when they took iron. More than two-thirds of 322 (76.1%) of the mothers ate three or fewer times per day during pregnancy. Close to half (46%) of the mothers’ midupper arm circumference was less than 23 cm. (Table3).Table 3
Dietary and micronutrient uptake characteristics of postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
VariablesCategoryFrequencyPercent (%)IFA tablet took during pregnancyYes36886.8No5613.2GA when IFA tablet started<16 weeks17651.520–24 weeks9026.326–30 weeks6719.630–34 weeks92.6Adherence to iron and folic acid supplementationPoor adherence24872.7Good adherence9327.3Hot drink while taking ironYes13539.5No20760.5Frequency of meal per day≤332276.1>310123.9Midupper arm circumference in centimeter (cm)<2319546.0≥2322954.0IFA: iron and folic acid, GA: gestational age.


## 3.5. Proportion and Associated Factors of Immediate Postpartum Anaemia

### 3.5.1. The Proportion of Immediate Postpartum Anaemia

Postpartum anaemia was observed among 103 (24.3%) mothers. Postpartum haemoglobin concentrations of study participants ranged from 6.70 gm/dl to 17.50 gm/dl with a mean value of 12.4 gm/dl and SD ± 1.88 gm/dl. From the total 24.3% anaemic mothers, 13.4%, 10.2%, and 0.7% of them were categorized as mild, moderate, and severe anaemia, respectively (Figure2).Figure 2
Categories of immediate postpartum anaemia among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).


### 3.5.2. Associated Factors of Postpartum Anaemia

In binary logistic regression analysis, maternal educational level (being unable to read and write and able to read and write), rural residence, home delivery, preterm delivery, and less frequent meal per day were variables associated with immediate PPA withp value <0.2, but all these variables were eliminated by backward multivariate regression. In multivariable logistic regression, antenatal care visit <4 times, antepartum haemorrhage, instrumental delivery, postpartum haemorrhage, poor adherence to IFA supplementation, and MUAC <23 cm were independent variables significantly associated with p value <0.05.The odds of postpartum anaemia were higher among postnatal women who had <4 antenatal care visits [AOR = 2.40; 95% CI (1.29, 4.43)]. The higher likelihood of postpartum anaemia was observed among postnatal women who were experienced APH and PPH compared to their counterparts [AOR = 5.08; 95% CI (1.91, 13.55)] and [AOR = 4.47; 95% CI (2.25, 8.88)], respectively. Mothers who gave birth by instrumental assisted vaginal delivery were almost 4 times more likely to be anaemic compared to those who gave birth through spontaneous vaginal delivery [AOR = 3.99; 95% CI (1.42, 11.23)]. Mothers who poorly adhere to IFA supplementation were 2.5 times more likely to develop postpartum anaemia compared to those who had good adherence [AOR = 2.52; 95% CI (1.06, 6.04)]. Increased odds of anaemia were noted among postpartum women with MUAC measurements of <23 cm [AOR = 3.25; 95% CI (1.87, 5.65)] (Table4).Table 4
Logistic regression showing factors associated with immediate postpartum anaemia among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
Independent variablesPostpartum anaemiaCOR 95% CIAOR 95%CIYesNoMaternal education statusUnable to read and write55935.32 (2.48–11.44)2.00 (0.81–4.88)Able to read and write14353.60 (1.43–9.09)2.05 (0.71–5.87)Primary school class10452.00 (0.76–5.23)1.66 (0.57–4.80)Secondary school class15662.04 (0.85–4.98)1.09 (0.40–2.99)Diploma and above98111ResidenceRural591292.00 (1.27–3.13)0.63 (0.31–1.29)Urban4419211Frequency of ANC visits<4 times461023.10 (1.84–5.25)2.40 (1.29–4.43)∗≥4 times2919811Antepartum haemorrhageYes17106.15 (2.71–13.9)5.08 (1.91–13.55)∗No8631111GA at deliveryPreterm31581.96 (1.18–3.25)1.41 (0.73–2.71)Term6925511Place of birthHealth institution9231111Home11103.72 (1.61–9.00)1.92 (0.60–6.19)Mode of deliverySVD3913711IAVD13123.81 (1.57–8.77)3.99 (1.42–11.23)∗Cesarean section511721.04 (0.65–1.67)1.06 (0.59–1.88)Postpartum haemorrhageYes36246.65 (3.72–11.89)4.47 (2.25–8.88)∗No6729711Adherence of IFA supplementationPoor adherence531952.88 (1.31–6.33)2.52 (1.06–6.04)∗Good adherence88511Frequency of meal per day≤3872351.97 (1.09–3.54)1.21 (0.59–2.48)>3168511Midupper arm circumference<23 cm711243.53 (2.12–5.66)3.25 (1.87–5.65)∗≥23 cm3219711GA: gestational age; SVD: spontaneous vaginal delivery; IAVD: instrumental assisted vaginal delivery; IFA: iron and folic acid; AOR: adjusted odds ratio; COR: crude odds ratio; 1: reference and∗significantly associated with p value <0.05.


## 3.5.1. The Proportion of Immediate Postpartum Anaemia

Postpartum anaemia was observed among 103 (24.3%) mothers. Postpartum haemoglobin concentrations of study participants ranged from 6.70 gm/dl to 17.50 gm/dl with a mean value of 12.4 gm/dl and SD ± 1.88 gm/dl. From the total 24.3% anaemic mothers, 13.4%, 10.2%, and 0.7% of them were categorized as mild, moderate, and severe anaemia, respectively (Figure2).Figure 2
Categories of immediate postpartum anaemia among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).


## 3.5.2. Associated Factors of Postpartum Anaemia

In binary logistic regression analysis, maternal educational level (being unable to read and write and able to read and write), rural residence, home delivery, preterm delivery, and less frequent meal per day were variables associated with immediate PPA withp value <0.2, but all these variables were eliminated by backward multivariate regression. In multivariable logistic regression, antenatal care visit <4 times, antepartum haemorrhage, instrumental delivery, postpartum haemorrhage, poor adherence to IFA supplementation, and MUAC <23 cm were independent variables significantly associated with p value <0.05.The odds of postpartum anaemia were higher among postnatal women who had <4 antenatal care visits [AOR = 2.40; 95% CI (1.29, 4.43)]. The higher likelihood of postpartum anaemia was observed among postnatal women who were experienced APH and PPH compared to their counterparts [AOR = 5.08; 95% CI (1.91, 13.55)] and [AOR = 4.47; 95% CI (2.25, 8.88)], respectively. Mothers who gave birth by instrumental assisted vaginal delivery were almost 4 times more likely to be anaemic compared to those who gave birth through spontaneous vaginal delivery [AOR = 3.99; 95% CI (1.42, 11.23)]. Mothers who poorly adhere to IFA supplementation were 2.5 times more likely to develop postpartum anaemia compared to those who had good adherence [AOR = 2.52; 95% CI (1.06, 6.04)]. Increased odds of anaemia were noted among postpartum women with MUAC measurements of <23 cm [AOR = 3.25; 95% CI (1.87, 5.65)] (Table4).Table 4
Logistic regression showing factors associated with immediate postpartum anaemia among postnatal mothers in Debre Markos Referral Hospital, Northwest Ethiopia, 2019 (n = 424).
Independent variablesPostpartum anaemiaCOR 95% CIAOR 95%CIYesNoMaternal education statusUnable to read and write55935.32 (2.48–11.44)2.00 (0.81–4.88)Able to read and write14353.60 (1.43–9.09)2.05 (0.71–5.87)Primary school class10452.00 (0.76–5.23)1.66 (0.57–4.80)Secondary school class15662.04 (0.85–4.98)1.09 (0.40–2.99)Diploma and above98111ResidenceRural591292.00 (1.27–3.13)0.63 (0.31–1.29)Urban4419211Frequency of ANC visits<4 times461023.10 (1.84–5.25)2.40 (1.29–4.43)∗≥4 times2919811Antepartum haemorrhageYes17106.15 (2.71–13.9)5.08 (1.91–13.55)∗No8631111GA at deliveryPreterm31581.96 (1.18–3.25)1.41 (0.73–2.71)Term6925511Place of birthHealth institution9231111Home11103.72 (1.61–9.00)1.92 (0.60–6.19)Mode of deliverySVD3913711IAVD13123.81 (1.57–8.77)3.99 (1.42–11.23)∗Cesarean section511721.04 (0.65–1.67)1.06 (0.59–1.88)Postpartum haemorrhageYes36246.65 (3.72–11.89)4.47 (2.25–8.88)∗No6729711Adherence of IFA supplementationPoor adherence531952.88 (1.31–6.33)2.52 (1.06–6.04)∗Good adherence88511Frequency of meal per day≤3872351.97 (1.09–3.54)1.21 (0.59–2.48)>3168511Midupper arm circumference<23 cm711243.53 (2.12–5.66)3.25 (1.87–5.65)∗≥23 cm3219711GA: gestational age; SVD: spontaneous vaginal delivery; IAVD: instrumental assisted vaginal delivery; IFA: iron and folic acid; AOR: adjusted odds ratio; COR: crude odds ratio; 1: reference and∗significantly associated with p value <0.05.


## 4. Discussion

This study assessed the proportion and factors associated with immediate postpartum anaemia among postnatal mothers at 24-hour postpartum period in Debre Markos Referral Hospital. The proportion of immediate postpartum anaemia was 24.3%.This value was in line with the study done in Germany (22%), Jimma (28.7%), Costal Karnataka (26.5%), and Mekelle (24.2%), respectively [20, 21, 24, 29]. But, haemoglobin cutoff points to define anaemia and the time (postpartum period) to diagnose anaemia were different.The magnitude of immediate postpartum anaemia in this study was lower than the study done in Uganda (30%) [17]; Madrid, Spain (29%) [30]; Mancha Centro hospital, Spain (45%) [28]; Tamil Nadu, India (47.3%) [23]; Pakistan (47.9%) [15]; and Myanmar 73.8% [27]. The possible reason for this variation might be due to anaemic mothers in preconception and pregnancy period being excluded from this study, use of different cutoff points to define postpartum anaemia, and difference in postpartum time of screening. Due to a lack of consensus on the definition of PPA, different scholars use different cutoff points, like Hgb<12 mg/dl at 10 weeks in Uganda, Hgb <11 mg/dl at 24 hours postpartum in Mancha Centro hospital, Spain, and Hgb <12 mg/dl among all lactating in Myanmar. Geographical difference might be also another factor for the abovementioned variation. Additionally, a staple food in Asian countries is rice, which lacks iron content. Ethiopians are eating cereals, “teff injera” (ferment teff flour), and fruits that do have high iron content [21].However, this proportion was higher than the Amhara region DHS data report (17.2%) [6]; the study was done in Kenya (16.4%) [8] and Ghana (16%) [31]. The variations might be because the above studies cover a wide range of areas and include all breastfeeding mothers who were far from the immediate postpartum period or close to 6-week and 6-month postpartum period. This shows that when the time of the postpartum period extends, mothers will have enough time to recover from anaemia or haemoglobin level will be increased [32].Independent factors significantly associated with immediate postpartum anaemia were frequency of ANC visits <4 times in the most recent pregnancy, having antepartum haemorrhage during most recent pregnancy, instrumental assisted vaginal delivery, having the experience of primary postpartum haemorrhage during the most recent birth, poor adherence to IFA supplementation during the latest pregnancy, and MUAC <23 cm at the time of interview.A majority (88.4%) of the study participants had ANC follow-up and 39% of them had <4 times of visits. The odds of postnatal mothers who had <4 times of antenatal care visits were about 2.4-fold higher to develop postpartum anaemia than those who had ≥4 ANC visits. This finding was supported by the studies conducted in Jimma, Tigray, and Ethiopia DHS data [21, 33, 34]. The possible explanations are as follows: mothers who had <4 ANC visits might not get enough IFA supplements, have poor adherence to IFA supplementation, and not screened/detected the risk factors early and treat on time.Among all study participants, 27 (6.4%) of them had an antepartum haemorrhage. Mothers who had antepartum haemorrhage were 5 times more likely to be anaemic in the immediate postpartum period, compared to their counterparts. This finding was consistent with the finding from Germany [20]. The possible explanation might be due to the loss of iron stores during pregnancy and blood loss during delivery could be the complications of APH.The odds of anaemia among postpartum mothers who experienced massive postpartum blood loss were 4.5 times higher than the odds of anaemia among postnatal mothers who did not develop postpartum haemorrhage. The similar findings were reported in Germany, Saudi Arabia, and Tamil Nadu, India [14, 20, 35]. Excessive bleeding after birth decreases the red blood cell component called haemoglobin. In every milliliter blood loss, a half milligram of iron will be reduced in the blood [11].Mothers who gave birth by instrumental (vacuum or forceps) assisted mode of delivery were almost 4 times more likely to be anaemic in the postpartum period when compared to those who gave birth through spontaneous vaginal delivery. This finding agreed with the studies done in Spain (two studies) and Saudi Arabia [11, 18, 35]. It might be due to the fact that instrumental assisted vaginal delivery increases the risk of episiotomy, spontaneous perineal, or/and cervical tear, and this tear may be also extended to the uterus. Clinicians are usually misdiagnosing the tears and repairing after mothers bleed a lot.The odds of PPA were 2.5-fold higher among postpartum mothers who had poor adherence to IFA supplementation compared to their counterparts. This finding was in agreement with the studies carried out in Uganda, Pakistan, and Tanzania [15, 23, 25]. The possible explanation might be due to the depleting of stored maternal iron since physiologic requirements of iron during pregnancy and labour are high. Therefore, not taking IFA based on the right order could reduce iron store and results in anaemia even with minimal blood loss during childbirth.Increased odds of anaemia were noted among postnatal mothers whose MUAC measurements <23 cm compared to those whose MUAC measurements ≥23 cm. This study is supported by the study done in Jimma, Myanmar, and Tanzania [21, 25, 36]. The most likely explanation might be iron deficiency anaemia usually related to nutritional deficiency. MUAC measurement <23 cm indicates that poor muscle mass lacks adequate energy intake. Haemoglobin concentration and maternal MUAC had a linear relationship which was also another explanation [16].


### 4.1. Limitation of the Study

Since the interview was about the past nine months’ activity of mothers, recall bias was one of the limitations. Besides, environmental and behavioural factors were not assessed. The study was facility based and difficult to generalize for the entire community. As the study design was a cross-sectional, a causal relationship could not be established.


## 4.1. Limitation of the Study

Since the interview was about the past nine months’ activity of mothers, recall bias was one of the limitations. Besides, environmental and behavioural factors were not assessed. The study was facility based and difficult to generalize for the entire community. As the study design was a cross-sectional, a causal relationship could not be established.


## 5. Conclusions

The proportion of postpartum anaemia was a moderate public health problem in Debre Markos Referral Hospital. Antepartum haemorrhage, instrumental assisted vaginal delivery, frequency of antenatal care visit <4 times, postpartum haemorrhage, poor adherence to IFA supplementation, and MUAC less than 23 cm were independent factors significantly associated with immediate postpartum anaemia. Therefore, interventions that would address the abovementioned factors need to be implemented, and further researches that will address this study limitation should be also considered.



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*Source: 8979740-2020-06-16.xml*