Literature DB >> 29423184

Postnatal care for newborns in Bangladesh: The importance of health-related factors and location.

Kavita Singh1,2, Paul Brodish1, Mahbub Elahi Chowdhury3, Taposh Kumar Biswas3, Eunsoo Timothy Kim2, Christine Godwin2, Allisyn Moran4.   

Abstract

BACKGROUND: Bangladesh achieved Millennium Development Goal 4, a two thirds reduction in under-five mortality from 1990 to 2015. However neonatal mortality remains high, and neonatal deaths now account for 62% of under-five deaths in Bangladesh. The objective of this paper is to understand which newborns in Bangladesh are receiving postnatal care (PNC), a set of interventions with the potential to reduce neonatal mortality.
METHODS: Using data from the Bangladesh Maternal Mortality Survey (BMMS) 2010 we conducted logistic regression analysis to understand what socio-economic and health-related factors were associated with early postnatal care (PNC) by day 2 and PNC by day 7. Key variables studied were maternal complications (during pregnancy, delivery or after delivery) and contact with the health care system (receipt of any antenatal care, place of delivery and type of delivery attendant). Using data from the BMMS 2010 and an Emergency Obstetric and Neonatal Care (EmONC) 2012 needs assessment, we also presented descriptive maps of PNC coverage overlaid with neonatal mortality rates.
RESULTS: There were several significant findings from the regression analysis. Newborns of mothers having a skilled delivery were significantly more likely to receive PNC (Day 7: OR = 2.16, 95% confidence interval (CI) 1.81, 2.58; Day 2: OR = 2.11, 95% 95% CI 1.76). Newborns of mothers who reported a complication were also significantly more likely to receive PNC with odds ratios varying between 1.3 and 1.6 for complications at the different points along the continuum of care. Urban residence and greater wealth were also significantly associated with PNC. The maps provided visual images of wide variation in PNC coverage and indicated that districts with the highest PNC coverage, did not necessarily have the lowest neonatal mortality rates.
CONCLUSION: Newborns of mothers who had a skilled delivery or who experienced a complication were more likely to receive PNC than newborns of mothers with a home delivery or who did not report a complication. Given that the majority of women in Bangladesh have a home delivery, strategies are needed to reach their newborns with PNC. Greater focus is also needed to reach poor women in rural areas. Engaging community health workers to conduct home PNC visits may be an interim strategy as Bangladesh strives to increase skilled delivery coverage.

Entities:  

Mesh:

Year:  2017        PMID: 29423184      PMCID: PMC5785870          DOI: 10.7189/jogh.07.020507

Source DB:  PubMed          Journal:  J Glob Health        ISSN: 2047-2978            Impact factor:   4.413


The prevention of neonatal mortality has become a global priority because of the high mortality experienced by newborns and the difficulty in achieving improvements in their survival. Neonatal mortality now accounts for 45% of under–five mortality which translates to 2.8 million deaths within the first 28 days of life. On a global level neonatal mortality rates have declined from 33 to 19 deaths per 1000 live births (from 1990 to 2015), but this 47% reduction is much less than the 58% reduction seen in deaths among post–neonatal children under–five [1]. In addition, an estimated 2.6 million stillbirths occur each year, though only a fraction of these deaths are recorded in vital registration systems [2-4]. An estimated 46% of stillbirths are intrapartum or “fresh” indicating that the fetus died after the onset of labor and perhaps could have been saved with appropriate interventions at delivery [3]. Every Newborn is an action plan focused on enabling countries to prevent neonatal deaths and stillbirths [4]. The plan emphasizes the critical periods of labor, birth and the first week of life as time points when interventions can achieve maximum impact on saving newborn lives. The plan is an extension of the United Nation’s Every Woman Every Child movement and includes a vision, goals, strategies, and priorities for reducing newborn and stillbirth deaths. To achieve these goals, Every Newborn lays out key strategic objectives: 1. Improving care at birth, 2. Improving the quality and equity of maternal and newborn care, 3. Reaching every woman and newborn and achieving impact at scale, 4. Harnessing the power of parents, families and communities, and 5. Counting every newborn through measurement, program–tracking and accountability. Referral and follow–up care for low birth weight and sick newborns is also crucial given that prematurity and low birth weight are major predicators of neonatal mortality. A continuum of services is needed to enhance newborn survival. Essential newborn care (ENC) involves care soon after birth and includes hygienic care, thermal control, support for breastfeeding and resuscitation with bag and mask, if needed [4]. Such interventions can address the main causes of neonatal mortality such as intrapartum related birth asphyxia and complications due to prematurity and low birth weight, which account for more than half of neonatal deaths [5]. Complementing essential newborn care is postnatal care (PNC) for the newborn, a package of interventions delivered after birth that includes the promotion of immediate and exclusive breastfeeding (for children less than 6 months of age), hand–washing, examination of mother and child for danger signs and appropriate referral for medical care [6]. Interventions provided as part of PNC can prevent some newborn complications such as sepsis, meningitis, pneumonia and diarrhea. PNC could be a means of providing follow–up care to newborns who were born premature and/or of low birth weight and provides an opportunity to check all newborns for illnesses that may have arisen since delivery [4]. Under–five mortality in Bangladesh has been steadily declining from 144 deaths per 1000 live births to 38 deaths per 1000 live births in the period between 1990 and 2015 [1]. Though Bangladesh laudably achieved the Millennium Development Goal (MDG) 4 target of a two–thirds reduction in under–five mortality, the burden of neonatal mortality continues to remain a concern. Neonatal mortality also declined from 63/1000 to 23/1000 during the same time period, but the magnitude of the decline was not as great as for under–five mortality. The proportion of neonatal deaths out of all under–five deaths actually increased from 44% to 62% from 1990 to 2015 [1]. Promotion of PNC has been emphasized in the National Neonatal Health Strategy and Guidelines (NNHS) of Bangladesh, and PNC is provided free of charge at government health facilities. PNC is provided both at health facilities and during home visits by community health workers in efforts to make the service accessible from the community to tertiary level. During home visits community health workers focus on the i) promotion of newborn care (early/exclusive breastfeeding, warmth, hygiene); ii) promotion of nutrition & family planning counseling to mothers; iii) providing information about danger signs of both mother and newborn; iv) Identification of danger signs in newborn and referral; v) support for breastfeeding; and vi) care of low birth weight infant (feeding, skin–to–skin contact) [7,8]. Studies in Bangladesh have found that socioeconomic factors such as education [9,10] and wealth have an influence on PNC coverage for newborns [11-16]. A study by Anwar et al. 2008 found that having at least one ANC visit [14] was associated with higher utilization of PNC, suggesting that prior contact with the health care system may be important. A qualitative study by Syed et al. 2008 found that mothers did not perceive PNC for themselves or their babies to be of much value unless they had a complication or their newborn was sick. The same study found that knowledge of maternal and newborn complications was often limited and initial care–seeking was often with a non–formal provider [17]. No quantitative studies in Bangladesh have looked at the role of complications on receipt of PNC for newborns. The main aim of this study is to delve deeper into the question of which newborns in Bangladesh are receiving PNC by exploring not just socio–economic factors but also health–related factors, including maternal complications and contact with the health system. Our aim is to understand whether these factors, which have not been extensively studied in the literature, are associated with PNC. A secondary aim is to use maps to descriptively present geographic variability in PNC coverage and neonatal mortality. Maps can be a useful means to pinpoint geographic areas which need more programmatic focus.

METHODS

Data and sample

Data came from the 2010 Bangladesh Maternal Mortality Survey (BMMS), a large–scale survey of 175 000 households [18]. The BMMS employed a multi–stage selection procedure designed to provide representative samples for maternal mortality at the national level and representative estimates at the national, urban/rural, divisional, and district levels for most other indicators. The BMMS Women’s Long Questionnaire, which collected socio–economic and health–related information from approximately 62 000 ever–married women aged 13–49, was used in this study. We also obtained information on household wealth from the BMMS Household Questionnaire. Because the primary outcome of interest was PNC for the most recent birth, we restricted the sample to those women who had a live birth in the past six years for a total sample size of 25 014 mothers. Data for the maps came from the BMMS 2010 as well as from a 2012 Needs Assessment of Emergency Obstetric and Newborn Care (EmONC) [19]. The BMMS 2010 provided the PNC data and population–level neonatal mortality estimates for all districts while the EmONC assessment provided data on facility–level neonatal mortality for 24 of the 64 districts of Bangladesh. This study was reviewed by the Institutional Review Board (IRB) at the University of North Carolina at Chapel Hill and was exempted from needing ethics review approval because of the secondary nature of the analysis.

Descriptive and regression analyses

Outcomes

We calculated simple weighted descriptive statistics and chi–square analyses on all predictor and demographic variables, comparing women who reported receiving PNC on or before day 7 and on or before day 2 (early PNC) to those who did not. The sample for early PNC is a subset of the larger PNC on or before day 7 sample. Early PNC was defined as within a day for facility births and within two days for non–facility births. The WHO indicates that PNC should be given to newborns within 24 hours for both facility births and as soon as possible for non–facility births [6,20]. We therefore included day 2 as relevant for early PNC for non–facility births.

Key independent variables

Our key predictor variables were focused on access to maternal health services and the presence of complications. In terms of maternal health services we included receipt of ANC, type of delivery attendant (Skilled Birth Attendant (SBA) or non–SBA), place of delivery (facility vs non–facility). A SBA was defined according to the World Health Organization’s definition as “an accredited health professional – such as a midwife, doctor or nurse – who has been educated and trained to proficiency in the skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate postnatal period, and in the identification, management and referral of complications in women and newborns” [21]. We, thus, defined a SBA as an accredited doctor, nurse or midwife. All others including traditional birth attendants (TBAs) were defined as non–SBAs. We looked at both the type of delivery attendant and place of delivery because Bangladesh promotes a strategy of home deliveries by SBAs when facility delivery is not feasible [22,23]. Complications reported by the mother at labor, delivery and after delivery were also key measures in our analysis. Though the BMMS included questions on timing of complication, questions on specific types of complications were not included. We were not able to include four or more ANC visits and low birth weight in our analysis because of a large amount of missing data, and data on neonatal complications were not available.

Regression analysis

We performed weighted logistic regression models predicting receipt of the PNC outcomes, controlling for maternal age, parity, highest level of education, urban residence, marital status, and wealth quintile. The wealth index was constructed from data on ownership of household items including bathroom facilities, roofing, and flooring. Each asset was assigned a weight (factor score) generated through principle components analysis. Each household’s scores were then summed; individuals were ranked according to the total score of the household in which they resided [18]). All analyses were performed using Stata v. 14.

Maps and chi–square comparisons

Descriptive maps of PNC by day 7 and early PNC were interposed with data on population–level neonatal mortality and facility–level neonatal mortality to present subnational level variation in PNC coverage and neonatal mortality. We also performed χ2 analyses of the key independent variables and PNC with neonatal mortality. Studying associations between PNC and neonatal mortality, however, has its limitations. The data do not allow for a determination of whether or not deaths on the first day of life occurred to newborns before they were even eligible for PNC [9]. For example, there could be some left censoring in that some newborns might have died within minutes of birth before they could have received a PNC check, but the data does not disaggregate deaths on the first day into hours or minutes.

RESULTS

reports sample characteristics for PNC by day 7, while does the same for early PNC. Given that early PNC is a subset of the PNC by day 7 outcome, the number of women who received early PNC is smaller than PNC by day 7 (7461 vs 8258). Thirty–three percent of respondents reported receipt of PNC by day 7, while 30% reported early PNC. For every characteristic except marital status, there were differences between women receiving PNC by day 7 and not receiving PNC by day 7. For example, women who reported contact with the health system in terms of ANC, facility delivery or delivery with a SBA were more likely to report PNC by day 7. Women who reported a complication during pregnancy, delivery or after delivery as well as urban, wealthier and more educated were also more likely to indicate their newborns received PNC by day 7. Results were similar when comparing women receiving early PNC to those who did not ().
Table 1

Sample characteristics by postnatal care on or before day 7 (n = 25 014)

No PNC by day 7
PNC by day 7
Characteristic
n
(%)
n
(%)
P
Total
16 756
67.0
8258
33.0

Predictor variables





Delivery:





- Unskilled
15 307
93.3
3489
46.0

- Skilled
1449
6.7
4769
54.0
<0.001
Home delivery:





- No
1078
5.2
4622
52.7

- Yes
15 678
94.8
3636
47.3
<0.001
Any antenatal care (ANC):





- No
6615
40.5
1135
14.8

- Yes
10 141
59.5
7123
85.2
<0.001
Reported complications during pregnancy:





- No
11 190
66.5
4158
49.7

- Yes
5566
33.5
4100
50.3
<0.001
Reported complications during delivery:





- No
13 099
78.0
5209
62.5

- Yes
3657
22.0
3049
37.5
<0.001
Reported complications after delivery:





- No
13 818
82.8
6270
75.9

- Yes
2938
17.2
1988
24.1
<0.001
Demographic characteristics





Maternal age (years):





- 13 to 19
1950
11.7
914
11.5

- 20 to 24
5363
32.6
2938
36.2

- 25 to 29
4782
28.3
2329
27.9

- 30 to 34
2677
15.9
1268
14.8

- 35 to 39
1324
7.6
574
6.7

- 40 to 44
485
2.9
179
2.1

- 45 to 49
175
1.0
56
0.7
<0.001
Highest level of education (class):





- None
4964
30.2
1269
16.0

- 1 to 5
5658
33.3
2031
25.5

- 6 to 8
3402
20.7
1789
22.6

- 9+
2732
15.8
3169
35.9
<0.001
Urban residence:





- No
10 773
81.9
3955
64.4

- Yes
5983
18.1
4303
35.6
<0.001
Religion:





- Islam
15 349
92.4
7334
89.8

- Hindu/other
1407
7.6
924
10.2
<0.001
Marital status:





- Currently not married
324
1.8
127
1.5

- Currently married
16 432
98.2
8131
98.5
0.199
Wealth index quintile:





- Poorest
4234
26.4
790
10.8

- Poorer
3702
22.8
964
12.5

- Middle
3522
21.5
1384
18.0

- Richer
3047
17.7
1878
22.7

- Richest225111.6324235.9<0.001
Table 2

Sample characteristics by postnatal care on or before day 2 (early PNC, n = 25 014)

No PNC by day 2
PNC by day 2
Characteristic
n
%
n
%
P
Total
17 553
70.2
7461
29.8

Predictor variables





Delivery:





- Unskilled
15 898
92.6
2898
42.6

- Skilled
1655
7.4
4563
57.4
<0.001
Home delivery:





- No
1247
5.7
4453
56.4

- Yes
16 306
94.3
3008
43.6
<0.001
Any antenatal care (ANC):





- No
6786
39.7
964
14.0

- Yes
10 767
60.3
6497
86.0

Reported complications during pregnancy:





- No
11 584
65.7
3764
49.8

- Yes
5969
34.3
3697
50.2
<0.001
Reported complications during delivery:





- No
13 637
77.5
4671
61.9

- Yes
3916
22.5
2790
38.1
<0.001
Reported complications after delivery:





- No
14 402
82.4
5686
76.2

- Yes
3151
17.6
1775
23.8
<0.001
Demographic characteristics





Maternal age (years):





- 13 to 19
2036
11.7
828
11.5

- 20 to 24
5646
32.7
2655
36.4

- 25 to 29
4999
28.3
2112
28.0

- 30 to 34
2816
16.0
1129
14.5

- 35 to 39
1371
7.5
527
6.9

- 40 to 44
502
2.8
162
2.1

- 45 to 49
183
1.0
48
0.7
<0.001
Highest level of education (class):





- None
5122
29.8
1111
15.5

- 1 to 5
5924
33.3
1765
24.7

- 6 to 8
3567
20.8
1624
22.6

- 9+
2940
16.1
2961
37.2
<0.001
Urban residence:





- No
11 226
81.6
3502
63.3

- Yes
6327
18.4
3959
36.7
<0.001
Religion:





- Islam
16 072
92.3
6611
89.6

- Hindu/other
1481
7.7
850
10.4
<0.001
Marital status:





- Currently not married
340
1.8
111
1.5

- Currently married
17 213
98.2
7350
98.5
0.2028
Wealth index quintile:





- Poorest
4357
26.0
667
10.1

- Poorer
3835
22.6
831
11.9

- Middle
3697
21.6
1209
17.5

- Richer
3213
17.9
1712
22.9

- Richest245112.0304237.5<0.001
Sample characteristics by postnatal care on or before day 7 (n = 25 014) Sample characteristics by postnatal care on or before day 2 (early PNC, n = 25 014) shows results from the logistic regressions of PNC by day 7 and by day 2. Confirming some of the findings shown in , controlling for maternal demographic characteristics, having had a skilled delivery significantly increased the odds of reporting PNC by day 7 and by day 2 by over 2.1 times (odds ratio (OR) = 2.16, 95% confidence interval (CI) 1.81, 2.58; OR = 2.11, 95% CI 1.76, 2.54, respectively). Having had a home delivery significantly decreased the likelihood of PNC by about 85% (OR = 0.15, 95% CI 0.12, 0.18; OR = 0.14, 95% CI 0.12, 0.17, respectively). Reporting complications during pregnancy, delivery and after delivery significantly increased the odds of reporting PNC by between 1.3 and 1.6 times. Urban residence significantly increased the odds of reporting PNC by day 7 or by day 2 by about 1.4 times (OR = 1.38, 95% CI 1.22, 1.55; OR = 1.40, 95% CI 1.23, 1.59, respectively). Being in the top three wealth quintiles also increased the odds of reporting PNC by day 7 and by day 2 by between 1.5 and 2.3 times.
Table 3

Logistic regressions of postnatal care by day 7 and by day 2 on predictor variables (n = 25 014)

PNC by day 7
PNC by day 2
Characteristic
Odds ratio
95% CI
P
Odds ratio
95% CI
P
Predictor variables






Skilled delivery
2.16
1.81–2.58
<0.001
2.11
1.76–2.54
<0.001
Home delivery
0.15
0.12–0.18
<0.001
0.14
0.12–0.17
<0.001
Any antenatal care (ANC)
1.74
1.58–1.92
<0.001
1.71
1.54–1.89
<0.001
Complications during pregnancy
1.60
1.45–1.73
<0.001
1.49
1.36–1.64
<0.001
Complications at delivery
1.48
1.34–1.63
<0.001
1.53
1.38–1.69
<0.001
Complications after delivery
1.36
1.22–1.51
<0.001
1.32
1.18–1.48
<0.001
Demographic characteristics






Maternal age (years):






- 13 to 19
1.00





- 20 to 24
1.12
0.98–1.27
0.110
1.10
0.96–1.27
0.172
- 25 to 29
1.07
0.91–1.25
0.431
1.06
0.90–1.26
0.478
- 30 to 34
1.02
0.84–1.23
0.856
0.98
0.81–1.19
0.841
- to 39
1.11
0.89–1.39
0.362
1.18
0.93–1.50
0.184
- 40 to 44
1.13
0.84–1.52
0.403
1.19
0.87–1.61
0.272
- to 49
1.52
1.01–2.29
0.047
1.52
0.98–2.37
0.060
Parity:






- 1
1.00





- 2–3
0.91
0.82–1.01
0.069
0.92
0.82–1.02
0.111
- 4+
0.94
0.80–1.11
0.450
0.91
0.76–1.08
0.278
Highest level of education (class):






- None
1.00





- 1 to 5
1.10
0.98–1.23
0.091
1.06
0.94–1.20
0.372
- 6 to 8
1.08
0.94–1.23
0.277
1.05
0.91–1.22
0.492
- 9+
1.14
0.99–1.31
0.073
1.11
0.95–1.29
0.174
Urban residence:






- No
1.00





- Yes
1.38
1.22–1.55
<0.001
1.40
1.23–1.59
<0.001
Religion:






- Islam
1.00





- Hindu/other
1.09
0.93–1.28
0.284
1.07
0.91–1.27
0.412
Marital status:






- Currently not married
1.00





- Currently married
1.04
0.77–1.41
0.791
1.04
0.76–1.44
0.793
Wealth index quintile:






- Poorest
1.00





- Poorer
1.15
1.00–1.32
0.058
1.14
0.98–1.32
0.090
- Middle
1.47
1.29–1.68
<0.001
1.46
1.27–1.69
<0.001
- Richer
1.65
1.42–1.91
<0.001
1.68
1.43–1.97
<0.001
- Richest
2.32
1.97–2.74
<0.001
2.35
1.97–2.80
<0.001
Constant0.450.31–0.66<0.0010.400.27–0.60<0.001
Logistic regressions of postnatal care by day 7 and by day 2 on predictor variables (n = 25 014) present descriptive maps of PNC coverage interposed with population–level neonatal mortality () and facility–level neonatal mortality (). Overall, there is wide variation in the PNC (from 4% to 64%) and population–level neonatal mortality rates (from 1.6 per 1000 to 96.2 per 1000) within Bangladesh. Districts with the lowest neonatal mortality do not always have the highest PNC coverage and vice versa. Chi–square statistics for key independent variables and PNC with neonatal mortality indicate significantly higher mortality for newborns receiving PNC by day 2 and for newborns of mothers having a complication and a skilled delivery. These results are presented in .
Figure 1

Postnatal care (PNC) and population–level neonatal mortality by district.

Figure 2

Postnatal care (PNC) and facility–level neonatal mortality by district.

Figure 3

Bivariate associations between selection variables and neonatal mortality (per 1000). Note: All comparisons are significant at P < 0.05 or P < 0.0001 except for PNC by Day 7 (P = 0.0635). PNC – postnatal care, SBA – skilled birth attendant.

Postnatal care (PNC) and population–level neonatal mortality by district. Postnatal care (PNC) and facility–level neonatal mortality by district. Bivariate associations between selection variables and neonatal mortality (per 1000). Note: All comparisons are significant at P < 0.05 or P < 0.0001 except for PNC by Day 7 (P = 0.0635). PNC – postnatal care, SBA – skilled birth attendant.

DISCUSSION

PNC is a package of interventions intended for all newborns and has both a preventative focus and curative focus. In our study of PNC in Bangladesh we find that newborns whose mothers had a facility delivery or who had a complication were likely to have a PNC check than newborns of mothers who delivered at home or did not have a complication. Given that 79% of women in our sample had a home birth, efforts are needed to ensure all newborns are reached. PNC for newborns may not always be perceived to be necessary by mothers and their families in Bangladesh [17]), unless there is a complication or the newborn appears sick. Education of families on the importance of PNC as a preventative service can lead to improvements in newborn health. Early treatment for illnesses such as pneumonia is crucial, and PNC offers an opportunity for health workers to look for signs of illnesses which may be missed by family members. Traditional practices may prevent many mothers from leaving their homes for up to 40 days after delivery [24,25]. During this period of isolation, mothers are considered to be in a state of impurity and vulnerability to evil spirits [25]. Mothers often sleep on thin mats on the floor with their newborns to minimize the spread of pollution to others and protect themselves from spiritual attacks [16,25]. Husbands and mothers–in–law may also serve as gatekeepers to ensure minimal contact with outsiders during this period [25-28]. In light of these cultural issues, training community health workers to provide PNC for mothers and newborns at home, has surfaced as an interim solution to increasing the coverage of PNC [24,29,30]. Community health workers have the ability to gain the trust and support of mothers, fathers and mothers–in–law. They can engage these individuals on discussions concerning newborn care and any harmful traditional practices. For example, if newborns are sleeping on thin mats, community health workers can educate families on the risks of hypothermia. Studies conducted in rural Bangladesh have documented that community health workers are capable of correctly identifying sick newborns with a 6–sign or 7–sign clinical algorithm during their routine surveillance of newborns at home [28,31]. Home visits from community health workers by day 2 have been shown to reduce neonatal mortality [32]. Home visits have also been shown to be an effective means to assist mothers in overcoming breastfeeding problems [33]. In addition to identifying methods to reach more individual newborns, it is also important to study PNC coverage at a subnational level to enable countries to address geographic inequities. In Bangladesh there is wide variation in PNC coverage. Understanding why some districts have lower coverage than others can help inform intervention strategies. Traditional practices such as seclusion of the mother and newborn may be more prevalent in some districts than others, and thus engagement with communities on the importance of PNC (whether in a facility or in the home) may be particularly helpful. Our maps also revealed that districts with the highest PNC coverage did not necessarily have the lowest neonatal mortality and vice versa. We further explain this finding through bivariate comparisons of our key independent variables and PNC with neonatal mortality. The findings indicated significantly higher neonatal mortality when there is a PNC by day 2 check, maternal complication and delivery with a skilled birth attendant. Families in Bangladesh seem to view PNC as a service needed only when there is a problem with the mother or newborn. According to the BMMS 2010, 56% of mothers whose newborns did not receive PNC, indicated the reason was that the service was “not needed” [18]. Unfortunately, we lacked data on newborn complications, prematurity and low birth weight. There are several limitations to this study including our inability to include certain measures including neonatal complications, four or more ANC visits and birthweight. Though we looked at bivariate associations of PNC with neonatal mortality, there could be some left censoring of the data in that some newborns could have died before they were eligible for PNC [9]. Another limitation is the measurement of PNC itself as some women may not realize their newborn is receiving a check. Direct questions on PNC without probes, as was used in the BMMS, may lead to an underestimation of coverage [34]. The BMMS did not include questions on content or quality of the PNC check, and future research is needed to develop measures on both content and quality of PNC. Based on the findings of this study, several programmatic recommendations can be made. Both formal health workers and community health workers should provide PNC, a service essential for both for its preventative and curative elements. Particular efforts are needed to reach rural and poor women. Bangladesh has already taken relevant steps to reduce neonatal mortality by developing a National Newborn Health Strategy, which includes PNC provided by community health workers as a national health sector program approach [35]. Important considerations for such an approach are ensuring community health workers have the proper training, supplies and supervision to conduct their work. Community health workers also need to be notified of both facility and home births so that more newborns can be reached [36]. In addition to supporting community health workers, efforts are needed to increase the quality of PNC services in health facilities and to educate families on recognizing the value of PNC for seemingly healthy newborns as well as for sick newborns.
  25 in total

1.  Validation of a clinical algorithm to identify neonates with severe illness during routine household visits in rural Bangladesh.

Authors:  Gary L Darmstadt; Abdullah H Baqui; Yoonjoung Choi; Sanwarul Bari; Syed M Rahman; Ishtiaq Mannan; A S M Nawshad Uddin Ahmed; Samir K Saha; Habibur Rahman Seraji; Radwanur Rahman; Peter J Winch; Stephanie Chang; Nazma Begum; Robert E Black; Mathuram Santosham; Shams El Arifeen
Journal:  Arch Dis Child       Date:  2011-09-30       Impact factor: 3.791

2.  Factors affecting the utilisation of postpartum care among young mothers in Bangladesh.

Authors:  Md Mosiur Rahman; Syed Emdadul Haque; Md Sarwar Zahan
Journal:  Health Soc Care Community       Date:  2010-09-29

3.  Complications during pregnancy, delivery, and postnatal stages and place of delivery in rural Bangladesh.

Authors:  M Ataharul Islam; Rafiqul I Chowdhury; Halida H Akhter
Journal:  Health Care Women Int       Date:  2006-10

4.  Bringing stillbirths out of the shadows.

Authors:  Zoë Mullan; Richard Horton
Journal:  Lancet       Date:  2011-04-16       Impact factor: 79.321

5.  Home-based life saving skills in Matlab, Bangladesh: a process evaluation of a community-based maternal child health programme.

Authors:  Michelle Dynes; Aminur Rahman; Diana Beck; Allisyn Moran; Anisur Rahman; Jesmin Pervin; Mohammad Yunus; Md Harunor Rashid; Tamanna Gazi; Kamal Kanti Biswas; Sandra Buffington; Joan M Patterson; Lynn Sibley
Journal:  Midwifery       Date:  2009-09-26       Impact factor: 2.372

Review 6.  Care-seeking practices in South Asia: using formative research to design program interventions to save newborn lives.

Authors:  U Syed; N Khadka; A Khan; S Wall
Journal:  J Perinatol       Date:  2008-12       Impact factor: 2.521

7.  Patterns of maternal care seeking behaviours in rural Bangladesh.

Authors:  Allisyn C Moran; Peter J Winch; Nighat Sultana; Nahid Kalim; Kazi M Afzal; Marge Koblinsky; Shams E Arifeen; M Habibur R Seraji; Ishtiaq Mannan; Gary L Darmstadt; Abdullah H Baqui
Journal:  Trop Med Int Health       Date:  2007-07       Impact factor: 2.622

8.  Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000.

Authors:  Li Liu; Hope L Johnson; Simon Cousens; Jamie Perin; Susana Scott; Joy E Lawn; Igor Rudan; Harry Campbell; Richard Cibulskis; Mengying Li; Colin Mathers; Robert E Black
Journal:  Lancet       Date:  2012-05-11       Impact factor: 79.321

9.  Beliefs and practices during pregnancy and childbirth in urban slums of Dhaka, Bangladesh.

Authors:  Nuzhat Choudhury; Allisyn C Moran; M Ashraful Alam; Karar Zunaid Ahsan; Sabina F Rashid; Peter Kim Streatfield
Journal:  BMC Public Health       Date:  2012-09-17       Impact factor: 3.295

10.  Postnatal care by provider type and neonatal death in sub-Saharan Africa: a multilevel analysis.

Authors:  Kavita Singh; Paul Brodish; Erica Haney
Journal:  BMC Public Health       Date:  2014-09-10       Impact factor: 3.295

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  9 in total

1.  Effectiveness of participatory community solutions strategy on improving household and provider health care behaviors and practices: A mixed-method evaluation.

Authors:  Gizachew Tadele Tiruneh; Nebreed Fesseha Zemichael; Wuleta Aklilu Betemariam; Ali Mehryar Karim
Journal:  PLoS One       Date:  2020-02-05       Impact factor: 3.240

2.  Effectiveness of health voucher scheme and micro-health insurance scheme to support the poor and extreme poor in selected urban areas of Bangladesh: An assessment using a mixed-method approach.

Authors:  Sayem Ahmed; Md Zahid Hasan; Nausad Ali; Mohammad Wahid Ahmed; Emranul Haq; Sadia Shabnam; Morseda Chowdhury; Breda Gahan; Christine Bousquet; Jahangir A M Khan; Ziaul Islam
Journal:  PLoS One       Date:  2021-11-01       Impact factor: 3.240

3.  The large-scale community-based programme 'Suchana' improved maternal healthcare practices in north-eastern Bangladesh: Findings from a cluster randomized pre-post study.

Authors:  Md Ahshanul Haque; Nuzhat Choudhury; S M Tanvir Ahmed; Fahmida Dil Farzana; Mohammad Ali; Farina Naz; Mohammad Jyoti Raihan; Sheikh Shahed Rahman; Towfida Jahan Siddiqua; Abu Syed Golam Faruque; Tahmeed Ahmed
Journal:  Matern Child Nutr       Date:  2021-08-31       Impact factor: 3.092

4.  Utilization of Postnatal Care Service in Indonesia and its Association with Women's Empowerment: An Analysis of 2017 Indonesian Demographic Health Survey Data.

Authors:  Susy K Sebayang; Eka M M Has; Setho Hadisuyatmana; Ferry Efendi; Erni Astutik; Heri Kuswanto
Journal:  Matern Child Health J       Date:  2022-01-11

5.  Determinants of Postnatal Care and Timing of the First Postnatal Care for Newborns in Ethiopia: Further Analysis of 2019 Ethiopian Demographic and Health Survey.

Authors:  Sewnet Adem Kebede; Adisu Birhanu Weldesenbet; Biruk Shalmeno Tusa
Journal:  Front Pediatr       Date:  2022-03-24       Impact factor: 3.418

6.  Late initiation and low utilization of postnatal care services among women in the rural setting in Northwest Tanzania: a community-based study using a mixed method approach.

Authors:  Eveline T Konje; Jennifer Hatfield; Reg Sauve; Susan Kuhn; Moke Magoma; Deborah Dewey
Journal:  BMC Health Serv Res       Date:  2021-07-02       Impact factor: 2.655

7.  Determinants of postnatal care utilization in Ethiopia: a multilevel analysis.

Authors:  Gizachew Tadele Tiruneh; Alemayehu Worku; Yemane Berhane; Wuleta Betemariam; Meaza Demissie
Journal:  BMC Pregnancy Childbirth       Date:  2020-09-21       Impact factor: 3.007

8.  Assessing the effect of pregnancy intention at conception on the continuum of care in maternal healthcare services use in Bangladesh: Evidence from a nationally representative cross-sectional survey.

Authors:  Md Nuruzzaman Khan; Melissa L Harris; Deborah Loxton
Journal:  PLoS One       Date:  2020-11-20       Impact factor: 3.240

9.  Trend and projection of skilled birth attendants and institutional delivery coverage for adolescents in 54 low- and middle-income countries, 2000-2030.

Authors:  Md Mizanur Rahman; Hiroko Taniguchi; Raïssa Shiyghan Nsashiyi; Rashedul Islam; Syed Riaz Mahmud; Shafiur Rahman; Jenny Jung; Shahjahan Khan
Journal:  BMC Med       Date:  2022-02-04       Impact factor: 8.775

  9 in total

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