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Volume 13 Supplement 3

The Lives Saved Tool in 2013: new capabilities and applications

Breastfeeding promotion interventions and breastfeeding practices: a systematic review

BMC Public Health volume 13, Article number: S20 (2013) Cite this article

Abstract

Introduction

Exclusive Breastfeeding (EBF) rates remain low in both low-income and high-income countries despite World Health Organization recommendations for EBF till 6 months. Breastfeeding has been shown to have a protective effect against gastrointestinal infections, among other benefits. Large-scale interventions focusing on educating mothers about breastfeeding have the potential to increase breastfeeding prevalence, especially EBF, up to recommended standards and also to decrease infant morbidity.

Methods

A systematic literature search was conducted for RCTs and quasi-experimental studies comparing breastfeeding education or support to routine care. The effect of interventions was observed for exclusive, predominant, partial and no breastfeeding rates. The time intervals of interest were day 1, <1 month, and 1 to 5 months. Outcome-specific evidence was graded according to the Child Health Epidemiology Reference Group (CHERG) rules using the adapted Grading of Recommendations, Assessment, Development and Evaluation (GRADE) criteria and recommendations were made from studies in developing countries for inclusion into the Lives Saved Tool (LiST) model.

Results

After reviewing 4600 abstracts, 372 studies were selected for full text screening and 110 of these studies were finally included. Statistically significant increases in EBF rates as a result of breastfeeding promotion interventions were observed: 43% at day 1, 30% at <1 month, and 90% at 1-5 months. Rates of ‘no breastfeeding’ reduced by 32% at 1 day, 30% at <1 month, and 18% at 1-5 months. The effect of interventions on the rates of predominant and partial breastfeeding were non-significant.

Conclusion

Breastfeeding education and/or support increased EBF rates and decreased no breastfeeding rates at birth, <1 month and 1-5 months. Combined individual and group counseling appeared to be superior to individual or group counseling alone. Interventions in developing countries had a greater impact than those in developed countries.

Introduction

The World Health Organization (WHO) recommends exclusive breastfeeding (EBF) to infants till 6 months of age to achieve optimum growth [1]. Despite this, EBF remains uncommon in most countries, even in countries with high rates of breastfeeding initiation [2, 3]. In the developing world, one out of every three children is exclusively breastfed for the first six months of life, though considerable variation exists across regions [4]. Recent data shows that the prevalence of EBF in developing countries has increased from 33% in 1995 to just 39% in 2010 [5]. These figures were based on 66 countries covering 74% of the developing world population. The prevalence of EBF increased in almost all regions in the developing world, with a major improvement seen in West and Central Africa where the prevalence doubled from 12% to 28%, while more modest improvements were observed in South Asia where the increase was from 40% in 1995 to 45% in 2010. A recent WHO report shows that the median coverage of EBF has increased from 26% in 2000-2005 to 40% in 2006-2011 in the 48 Countdown countries [6].

EBF has protective effects against gastrointestinal infection [1] and the high incidence of morbidity and mortality from gastrointestinal infection in developing countries demands large-scale interventions to increase breastfeeding prevalence and exclusivity as evidence shows that “no breast feeding” is associated with a significant 165% increase in diarrhoea incidence in 0-5 month old infants and a 32% increase in 6-11 month old infants [7].

Lack of knowledge and confidence were found as the main reasons among mothers for less than optimum breastfeeding duration [8, 9]. Perception of insufficient milk and work outside the home were cited as common reasons for premature weaning or not breast-feeding exclusively [10, 11]. Pediatricians, nurses, midwives and lay counselors should therefore actively promote and educate, while taking into account mothers’ situational limitations.

Strategies that have been successful in increasing breastfeeding rates are the Baby Friendly Hospital Initiative (BFHI) [12], and the use of peer counselors in settings where home deliveries are predominant [13, 14]. Large-scale interventions including the Integrated Management of Childhood Illness (IMCI) program in developing countries, which have shown to improve feeding practices and reduced growth faltering [15, 16]. Other strategies that have been employed to increase education include mother-to-mother support and contact with lay counselors or trained personnel via home visits [11, 17] or telephone-based support [10, 18]. These interventions may be carried out in a one-to-one counseling session or may occur in a group setting [19–22] or peer support groups [11]. Apart from interactive counseling strategies, large-scale awareness programs have also been launched via mass, electronic and print media.

Several reviews on the effect of educational interventions to increase breastfeeding have been conducted. A review by Chapman et al [23] found that peer counselors effectively improved breastfeeding initiation, duration and exclusivity. A recent Cochrane review by Lumbiganon et al [24] found that peer counseling, lactation consultation and formal BF education during pregnancy increased BF duration. The review conducted by Imdad et al [25] concludes that EBF rates rose significantly as a result of educational interventions, with a greater effect observed in developing countries. We in this review have updated the previous review by Imdad et al [25] to include the studies published after the last search date and have in addition expanded it to examine the effect of these interventions beyond EBF to include predominant, partial and no breastfeeding rates. We have reviewed and evaluated the quality of included studies according to the Child Health Epidemiology Reference Group (CHERG) adaptation of Grading of Recommendations, Assessments, Development and Education (GRADE) criteria [26].

Methods

We searched published literature from PubMed, Medline, Cochrane Library, EMBASE and WHO regional databases to identify studies examining the effects of interventions to promote breastfeeding on breastfeeding rates; exclusive, predominant, partial or no breastfeeding. We used the Medical Subject Heading (MeSH) Terms and keywords in various combinations. No language or date restrictions were employed in the electronic searches. Two authors independently assessed the eligibility using pre-defined inclusion and exclusion criteria and performed data extraction. Any discrepancies between the reviewers in either the decision of inclusion or exclusion of studies or in data extraction were resolved by discussion aimed at reaching consensus. If two or more studies presented data for the same population during the same time period, the most applicable study based on methods and analysis was included in the meta-analyses.

Inclusion criteria

We selected studies that were either randomized controlled trials (RCTs) or quasi-experimental trials. Studies with community- or facility-based interventions were included. The type of interventions included were those that offered education and/or support given to mothers through counselors (lay counselors and health professionals), and in either individual or group sessions, or a combination of both. All studies where intervention (education/support) was given either in prenatal, postnatal, or combined prenatal and postnatal periods, were included. Studies were included irrespective of the mode of delivery, whether vaginal or cesarean. For non-English articles, we primarily relied on the abstracts but did not translate the entire article into English. If the desired outcome was not present in the abstract, the study was excluded.

Exclusion criteria

We excluded studies that had before-after study designs, or were cohort and cross-sectional studies. All studies in which interventions were given specifically to preterm/very preterm babies, low birth weight/very low birth weight babies, babies with prenatal disease, born to drug-using mothers or babies in the Neonatal Intensive Care Unit (NICU) were excluded. Other interventions for promotion of breastfeeding like skin-to-skin contact or delayed pacifier use with the goal of decreasing ambivalence and resistance toward sustained breastfeeding were excluded.

Abstraction, analysis and summary measure

For the studies that met the final inclusion criteria, double data abstraction was done describing study identifiers and context, study design and limitations, intervention specifics and outcome effects into a standardized abstraction form as detailed in the CHERG Systematic Review Guidelines [26]. Each study was assessed and graded according to the CHERG adaptation of the GRADE technique [27].

Quantitative data synthesis

For any outcome with more than one study, we conducted a meta-analysis using Revman 5.2 [28] and reported the Mantel-Haenszel pooled relative risk (RR) and corresponding 95% confidence interval (CI). Heterogeneity was assessed by a low P value (less than 0.1) or a large chi-squared statistic relative to its degree of freedom. The I2 values were also examined, and a value greater than 50% was interpreted as representing substantial and high heterogeneity, where causes were explored and the random effects model used.

Subgroup analyses were also done for studies; group vs. individual counseling, community based interventions vs. facility based interventions, and developing countries vs. developed countries. We summarized the evidence by outcome, including qualitative assessments of study quality and quantitative measures, according to the standard guidelines. A grade of “high”, “moderate”, “low” and “very low” was used for grading the overall evidence indicating the strength of an effect on specific health outcome according to the CHERG Rules for Evidence Review [26].

Outcomes and definitions

We have specified breastfeeding outcomes according to the categories of breastfeeding defined by the WHO [29, 30]. The outcomes of interest included ‘EBF’, ‘Predominant breastfeeding’, ‘Partial breastfeeding’ and ‘No breastfeeding’ rates at day 1, <1 month and 1-5 months age.

‘EBF’ was defined as the child receiving only breast milk (including milk expressed or from a wet nurse) and no other type of milk or solids but could include vitamins, drops of other medicines and oral rehydration therapy (ORT). ‘Predominant breastfeeding’ was defined as the infant having breast milk as the predominant source of nourishment; however, the infant may also have received liquids (water and water-based drinks, fruit juice), ritual fluids and ORT, drops or syrups (vitamins, minerals and medicines). ‘Partial breastfeeding’ was defined as giving a baby some breastfeeds, and some artificial feeds, either milk or cereal, or other food. ‘No breastfeeding’ was defined as infants receiving no breast milk at all.

The time intervals of interest; day 1, <1 month and 1-5 months, were selected. “Day 1” was intended to refer to the early postpartum period and was extended to include time at hospital discharge provided it occurred at approximately the routine 48-hours postpartum. Where more than one data point was presented during this time period in a study, the earlier one was selected. The time interval “<1 month” included the time beginning from the end of the early postpartum period to 30 days. The time interval “1-5 months” included the beginning of the 2nd month to the end of 6 months. Breastfeeding rates after 6 months were recorded if they were reported in studies. For each of these time intervals, when multiple data for outcomes belonging to the same time interval were presented, the later data point was selected.

We performed subgroup analyses based on the types of counseling. “Individual counseling” was defined as interventions which solely had individual counseling and included one-on-one education or social support via home visits or telephone support. “Group counseling”, was defined as interventions with solely group counseling, including education or support sessions, discussions or classes in groups directed at mothers or other family members. “Individual and group counseling” included those studies that used interventions involving both individual and group counseling.

Subgroup analyses were also done based on the level of care. “Community-based interventions” included studies that had interventions conducted solely at the community level, in the form of care given at the home or in community and village centers, or disbursed throughout the community as an awareness program. “Facility-based interventions” was defined as interventions conducted solely at the facility level, including hospitals (such as the BFHI) and outpatient clinics or involving follow-up with facility-based professionals in the form of telephone calls. “Facility- and community-based interventions” included those studies that used interventions that were conducted at both the facility and community level.

Subgroup analyses were also conducted based on the country in which the intervention took place. The World Bank list of economies was used to classify developing (low-income and middle-income) and developed (high-income) countries [31].

Results

We conducted the search on October 5, 2012 and updated it on November 27, 2012. We screened 4600 titles and abstracts identified through literature searches and contacts with subject area experts. Of these, we reviewed 372 papers and included 110 in our final database (Figure 1). These studies included 63 RCTs and 47 quasi-experimental studies. Of these studies, 78 had individual counseling, 14 had group counseling, and 19 studies had both individual and group counseling. 21 of these studies were done in community, 46 in facility while 43 were both community- and facility-based. 34 studies were conducted in developing countries and 76 in developed countries.

Figure 1
figure 1

Search strategy flow diagram

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Various educational interventions were employed by the included studies; counseling during home visits was used in 39 studies, peer counseling in 18 studies and peer support groups in three studies. 30 studies used telephonic counseling and two studies used Internet or software-based educational programs. 16 studies used formal educational classes and 15 studies used in-hospital counseling. There were three studies that used counseling of fathers as the primary intervention.

Exclusive breastfeeding rates

In Table 1, we report the quality assessment of breastfeeding promotion intervention on EBF. A total of 66 studies were included for this outcome [11–14, 17–22, 32–87]. 27 of 66 studies were conducted in developing countries. Overall, educational interventions significantly increased EBF rates at day 1 by 43% (RR: 1.43, 95% CI: 1.09-1.87), at <1 month by 30% (RR: 1.30, 95% CI: 1.19-1.42) and at 1-5 months by 90% (RR: 1.90, 95% CI: 1.54-2.34) (Figure 2).

Table 1 Summary of findings for the effect of breastfeeding promotion interventions on exclusive breastfeeding rates.
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Figure 2
figure 2

Effect of breastfeeding education on the rate of exclusive breastfeeding for 1 to 5 months

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At day 1, subgroup analyses showed that individual counseling alone led to a 60% increase (RR: 1.60, 95% CI: 1.04-2.48) while the effects of group counseling alone or combined individual and group counseling were non-significant. Subgroup analyses for the level of care showed that results were significant only for facility-based interventions. In developing countries, these interventions led to an increase of 157% (RR: 2.57, 95%CI: 1.39-4.77) whereas a non-significant effect was demonstrated in developed countries.

For the <1 month interval, subgroup analyses showed that the effects of individual counseling and combined individual and group counseling were significant, with increases of 31% and 27% respectively. Facility-based interventions were found to increase EBF rates significantly by 26% (RR: 1.26, 95% CI: 1.11-1.43) and combined facility and community based interventions showed significant increase of 31% (RR: 1.31, 95%CI: 1.14-1.50). The effects were significant for both developing and developed countries at 35% (RR: 1.35, 95% CI: 1.15-1.58) and 26% (RR: 1.26, 95% CI: 1.13-1.41) respectively.

At 1-5 months, subgroup analyses showed that both individual and group counseling alone had significant impacts at 90% (RR: 1.90, 95% CI: 1.54-2.34) and 80% (RR: 1.80, 95% CI: 1.18-2.74), respectively. Combined individual and group counseling led to an increase of 101% (RR: 2.01, 95% CI: 1.43-2.82), Subgroup analyses for level of care revealed that both community and facility-based care had significant results at 159% (RR: 2.59, 95% CI: 1.80-3.73) and 87% (RR: 1.87, 95% CI: 1.26-2.78) respectively and the effect of combined facility- and community-based care was an increase of 47% (RR: 1.47, 95% CI: 1.08-1.99). Interventions in developing countries led to a significant increase of 188% (RR: 2.88, 95% CI 2.11-3.93), while the impact was non-significant for developed countries.

Predominant breastfeeding rates

In Table 2, we report the quality assessment of breastfeeding promotion intervention on predominant breast feeding. 13 studies had reported this outcome [11, 12, 18, 20, 36, 42, 46, 52, 58, 61, 72, 76, 85] and eight of these were conducted in developing countries. Overall, educational interventions had a non-significant effect on predominant breastfeeding rates at <1 month (RR: 0.66, 95% CI: 0.43, 1.01) and at 1-5 months (RR: 1.08, 95%CI: 0.55, 2.13) (Figure 3), while there were no studies reporting predominant breastfeeding rates at day 1. Subgroup analysis also did not show significant findings for any of the subgroups.

Table 2 Summary of findings for the effect of breastfeeding promotion interventions on predominant and partial breastfeeding rates.
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Figure 3
figure 3

Effect of breastfeeding education on the rate of predominant breastfeeding for 1-5 months

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Partial breastfeeding rates

In Table 2, we report the quality assessment of breastfeeding promotion intervention on partial breast feeding. 24 studies [18–20, 34, 36, 42, 45, 47, 49, 51, 52, 59, 61, 62, 64, 66, 71, 72, 76, 80, 85, 86, 88, 89] reported outcomes of partial breastfeeding, of which ten were conducted in developing countries. Overall, educational interventions had a non-significant effect on partial breastfeeding rates at day 1 (RR: 1.21 95% CI: 0.79, 1.87), at <1 month (RR: 0.88 95% CI: 0.72, 1.08) and at 1-5 months (RR: 0.87, 95%CI: 0.75, 1.02) intervals (Figure 4).

Figure 4
figure 4

Effect of breastfeeding education on the rate of partial breastfeeding for 1 to 5 months

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For the subgroup analysis based on the level of care, combined facility and community-based interventions had a significant reduction of 66% (RR: 0.34, 95% CI: 0.13-0.93) at <1 month duration. Findings from all other subgroups were non-significant.

‘No breastfeeding’ rates

In Table 3, we report the quality assessment of breastfeeding promotion intervention on ‘no breast feeding’. Of the 97 papers [10–14, 17–20, 33, 35–38, 40–42, 44, 45, 47, 49, 51–55, 57–74, 76–84, 86, 88–130] reporting this particular outcome, 23 were from developing countries. Overall, educational interventions significantly decreased rates of no breastfeeding by 32% at day 1 (RR: 0.68, 95% CI: 0.54-0.87), 30% (RR: 0.70, 95% CI: 0.62-0.80) at <1 month and 18% (RR: 0.82, 95% CI: 0.77-0.89) at 1-5 months intervals (Figure 5).

Table 3 Summary of findings for effect of breastfeeding promotion interventions on ‘no breastfeeding’ rates.
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Figure 5
figure 5

Effect of breastfeeding education on the rate of no breastfeeding for 1 to 5 months

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At day 1, subgroup analyses for type of counseling revealed that group counseling alone resulted in a 43% reduction (RR: 0.57, 95% CI: 0.41-0.80) and individual counseling alone led to a 27% reduction (RR: 0.73, 95% CI: 0.55-0.96). The effect of combined individual and group counseling was non-significant. Only facility-based interventions led to a significant reduction of 52% (RR: 0.48, 95% CI: 0.34-0.69); the effects of community-based and combined facility- and community-based interventions were non-significant. Interventions in both developing and developed countries had significant results, with reduction of 42% (RR: 0.58, 95% CI: 0.44-0.78) and 27% (RR: 0.73, 95% CI: 0.57-0.95), respectively.

At <1 month, subgroup analyses for type of counseling showed that combined individual and group counseling resulted in a 34% decrease (RR: 0.66, 95% CI: 0.51-0.87), individual counseling alone resulted in a 29% decrease (RR: 0.71, 95% CI: 0.61-0.84) and group counseling alone led to a 29% decrease (RR: 0.71, 95% CI: 0.51-0.99) . In the subgroup analyses for level of care, the effects of facility-based interventions and combined facility- and community-based interventions were 32% (RR: 0.68, 95% CI: 0.56-0.83) and 33% (RR: 0.67, 95% CI: 0.54-0.83) respectively. The effects of community-based interventions were non-significant. Developing countries showed a reduction of 49% (RR: 0.51, 95% CI: 0.29-0.90) and in developed countries there was a reduction of 29% (RR: 0.71, 95% CI: 0.62-0.81).

For the 1-5 months interval, subgroup analyses showed statistically significant reduction in ‘no breastfeeding’ rates for combined individual and group counseling with a reduction of 32% (RR: 0.68, 95% CI: 0.50-0.92), individual counseling alone with a reduction of 14% (RR: 0.86, 95% CI: 0.79-0.94), and group counseling alone with a reduction of 24% (RR: 0.76, 95% CI: 0.63-0.91). Facility-based and combined facility- and community-based interventions led to significant reduction of 18% (RR: 0.82, 95% CI: 0.75-0.89) and 17% (RR: 0.83, 95% CI: 0.75-0.93), respectively; however, results for community based interventions were non-significant. The effect of educational interventions in both developing and developed countries were significant at 44% (RR: 0.56, 95% CI: 0.45-0.69) and 12% (RR: 0.88, 95% CI: 0.82-0.95) respectively.

Beyond 6 months

Beyond 6 months, data was available from 11 studies [12, 34, 38, 81, 83, 89, 94, 98, 104, 108, 113] for exclusive, partial and no breastfeeding rates. At 6-12 months, a 19% increase in partial breastfeeding rates was demonstrated, which was significant (RR: 1.19, 95% CI: 1.12-1.26). The effect of interventions was non-significant for both exclusive and no breastfeeding rates.

Recommendations for LiST model

Considering only the estimates from studies conducted in developing countries (Table 4), we propose that educational interventions increase EBF rates at day 1 by 157% (RR: 2.57 95% CI: 1.39, 4.77), at <1 month by 35% (RR: 1.35, 95% CI: 1.15, 1.58) and at 1-5 months by 188% (RR: 2.88, 95% CI: 2.11, 3.93). For predominant and partial breastfeeding rates, results were non-significant for all age durations. For ‘no breastfeeding’ we propose that educational interventions are associated with a reduction of 42% (RR: 0.58, 95% CI: 0.44, 0.78) at day 1, 49% (RR: 0.51, 95% CI: 0.29, 0.90) for <1 month and 44% (RR: 0.56, 95% CI: 0.45, 0.69) for 1-5 month ages.

Table 4 Estimates of effect of breastfeeding promotion interventions on exclusive, predominant, partial and no breastfeeding rates in developing countries: Recommendations for LiST model.
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Discussion

In this systematic review we summarized the effect of educational interventions to promote breastfeeding. We specifically examined the effect of these interventions on the various categories of breastfeeding, i.e. exclusive, predominant, partial breastfeeding and no breastfeeding, at day 1, <1 month, and 1-5 months. We also observed the prevalence of breastfeeding beyond 6 months if any study had reported outcomes in this age range.

EBF rates appeared to increase as a result of breastfeeding promotion interventions by 43% at day 1, by 30% till 1 month, and by 90% from 1-5 months (low outcome-specific quality of evidence). Significant reduction in rates of no breastfeeding were observed for the same time intervals, i.e. by 32% at day 1, by 30% till 1 month, and by 18% from 1-5 months (low outcome-specific quality of evidence). The overall effects of these interventions on predominant and partial breastfeeding rates were non-significant (moderate outcome-specific quality of evidence).

Combined individual and group counseling was found more effective than individual or group counseling alone. Overall, facility and combined facility- and community-based interventions led to greater improvements in breastfeeding rates, except for EBF at 1-5 months when the greatest increase resulted from community-based interventions. The effects of interventions in developing countries were greater than those observed in developed countries, i.e. increases in EBF rates of 35% compared to 26% at <1 month. At day 1 and at 1-5 months, the effects of interventions in developing countries on EBF rates were increases of 157% and 188%, respectively, whereas results for developed countries were non-significant. Reduction in ‘no breastfeeding’ rates of 42% were demonstrated in developing countries compared to 27% in developed countries at day 1, 49% compared to 29% at <1 month, and 44% compared to 12% at 1-5 months. Beyond 6 months, educational interventions had no significant effect except increasing rates of partial breastfeeding by 19% (moderate outcome-specific quality of evidence).

One of the limitations of this review is that the methodology of the RCTs included, indicated an unclear or high risk of bias as most RCTs demonstrated unclear blinding and/or allocation concealment. As quasi-experimental trials were also included, most of which did not employ blinding, this limited the quality of the evidence. Not only was there methodological heterogeneity across studies based on study design, clinical heterogeneity was also observed due to variations in types of intervention and the duration of the intervention, target population (differences in income and education), outcome definitions (‘fully’ breastfeeding interpreted as EBF but possibly including predominant BF) and different time intervals for follow-up. There were also differences in exposure to intervention, e.g. in the availability of a breastfeeding support telephone service, all the mothers in the intervention group did not choose to use the service. To investigate the subsequent statistical heterogeneity, we performed subgroup analyses to identify the cause. The random effects model was used to address this heterogeneity when it could not be explained. Criteria for recall of infant feeding practices for mothers were also variable, e.g. ranging from ‘continuous EBF from birth’ to ‘EBF in last 24 hours’.

Other reviews on the subject include a Cochrane review on antenatal education for increasing breastfeeding duration, which examined specific types of breastfeeding education and compared multiple methods with a single method of education. Peer counseling, lactation consultation and formal BF education during pregnancy were found to increase BF duration. Though we have included interventions given both during the antenatal and postpartum periods, our findings are similar with respect to the effectiveness of individual and group counseling, or individual counseling alone. Our findings are also similar to the previous review [25], which concluded that educational interventions increased EBF rates at 4-6 weeks and at 6 months, and the review by Chapman et al [23], which specifically examined studies with peer counseling programs and found that in the majority of studies peer counselors improved rates of breastfeeding initiation, duration and exclusivity.

We observed a statistically significant increase in EBF rates as well as a reduction in no breastfeeding rates at all measured time intervals till 6 months of age as a result of promotional interventions for breastfeeding. This corresponds with the messages in many interventions, which promote EBF till the age of 6 months in compliance with WHO recommendations [1]. A general effect of reduction of predominant and partial breastfeeding rates was demonstrated at day 1, <1 month and 1-5 months, however results were broadly non-significant. This finding may be explained by the rise of EBF as mothers realize the importance of not introducing formula or non-nutritional water-based foods early in the life of the infant. One exception to this pattern was the significant increase in partial breastfeeding rates of 325% (RR 4.25, CI 1.43-12.61) in the community-based interventions subgroup at day 1, comprising a single quasi-experimental study [59].

The impact was greater in developing countries when compared to developed countries. This could be because in less developed health systems, routine breastfeeding education in-hospital or follow-up home visits from public health nurses are less common than in the developed world leading to gaps in mothers’ knowledge of breastfeeding. These mothers may benefit more after any educational intervention. Breastfeeding is also socially accepted as the norm in many cultures in developing countries, which would make mothers more eager to breastfeed after counseling. Mothers in developed countries may have increases in breastfeeding rates of lower magnitude due to wider availability of formula, work constraints and social perceptions.

Both individual and group counseling markedly increased the rates of exclusive breastfeeding, with combined individual and group counseling having the greatest effect from 1-5 months of age with a 101% increase. Combined individual and group counseling also led to a greater decrease in no breastfeeding rates, of 34% till 1 month and 32% for 1-5 months, than individual or group counseling alone. Receiving the combination of one-on-one educational sessions with group sessions may be the ideal combination for women as a motivating strategy to continue breastfeeding.

Observing the success of educational strategies for promoting breastfeeding in developing countries, we should consider introducing these strategies on a large scale, utilizing both facility-based care and resources at the community level. These interventions should involve well-timed individual counseling along with group sessions for helping mothers achieve the goal of EBF till 6 months and continued BF till two years of life.

Conclusion

Breastfeeding education and/or support increased EBF rates and decreased no breastfeeding rates at birth, <1 month and 1-5 months. Combined individual and group counseling appeared to be superior to individual or group counseling alone. Interventions in developing countries had a greater impact than those in developed countries. These interventions have the potential to obtain optimum breast feeding practices and should be scaled up.

References

  1. WHO: The optimal duration of exclusive breastfeeding: report of an expert consultation. 2001, Geneva, Switzerland: World Health Organization, Available from: http://www.who.int/nutrition/publications/infantfeeding/WHO_NHD_01.09/en/index.html

    Google Scholar 

  2. Dimond HJ, Ashworth A: Infant feeding practices in Kenya, Mexico and Malaysia. The rarity of the exclusively breast-fed infant. Hum Nutr Appl Nutr. 1987, 41 (1): 51-64. Epub 1987/02/01. PubMed PMID: 3558008

    CAS  PubMed  Google Scholar 

  3. Perez-Escamilla R: Breastfeeding in Africa and the Latin American and Caribbean region: the potential role of urbanization. J Trop Pediatr. 1994, 40 (3): 137-43. 10.1093/tropej/40.3.137. Epub 1994/06/01. PubMed PMID: 8078111

    CAS  PubMed  Google Scholar 

  4. UNICEF: A Report Card on Nutrition: Number 4. 2006

    Google Scholar 

  5. Cai X, Wardlaw T, Brown DW: Global trends in exclusive breastfeeding. Int Breastfeed J. 2012, 7: 12-10.1186/1746-4358-7-12.

    PubMed Central  PubMed  Google Scholar 

  6. Countdown to 2015. Maternal, Newborn and Child Survival: The 2012 Report. 2012, WHO and UNICEF

  7. Lamberti LM, Fischer Walker CL, Noiman A, Victora C, Black RE: Breastfeeding and the risk for diarrhea morbidity and mortality. BMC Public Health. 2011, 11 (Suppl 3): S15-10.1186/1471-2458-11-S3-S15. Epub 2011/04/29. doi: 10.1186/1471-2458-11-s3-s15. PubMed PMID: 21501432; PubMed Central PMCID: PMCPMC3231888

    PubMed Central  PubMed  Google Scholar 

  8. Thulier D, Mercer J: Variables associated with breastfeeding duration. J Obstet Gynecol Neonatal Nurs. 2009, 38: 259-68. 10.1111/j.1552-6909.2009.01021.x.

    PubMed  Google Scholar 

  9. Chezem J, Friesen C, Boettcher J: Breastfeeding knowledge, breastfeeding confidence, and infant feeding plans: Effects on actual feeding practices. J Obstet Gynecol Neonatal Nurs. 2003, 32: 40-7. 10.1177/0884217502239799.

    PubMed  Google Scholar 

  10. Bunik M, Shobe P, O'Connor M, Beaty B, Langendoerfer S, Crane L, et al: Are 2 Weeks of Daily Breastfeeding Support Insufficient to Overcome the Influences of Formula?. Academic Pediatrics. 2010, 10: 21-8. 10.1016/j.acap.2009.09.014.

    PubMed  Google Scholar 

  11. Dearden K, Altaye M, Maza I, Oliva M, Stone-Jimenez M, Burkhalter BR, et al: The impact of mother-to-mother support on optimal breast-feeding: a controlled community intervention trial in peri-urban Guatemala City, Guatemala. Rev Panam Salud Publica. 2002, 12 (3): 193-201. 10.1590/S1020-49892002000900008.

    PubMed  Google Scholar 

  12. Kramer MS, Chalmers B, Hodnett ED, Sevkovskaya Z, Dzikovich I, Shapiro S, et al: Promotion of breastfeeding intervention trial (PROBIT): a randomized trial in the Republic of Belarus. JAMA. 2001, 285 (4): 413-20. 10.1001/jama.285.4.413.

    CAS  PubMed  Google Scholar 

  13. Morrow AL, Guerrero ML, Shults J, Calva JJ, Lutter C, Bravo J, et al: Efficacy of home-based peer counselling to promote exclusive breastfeeding: a randomised controlled trial. Lancet. 1999, 353: 1226-31. 10.1016/S0140-6736(98)08037-4.

    CAS  PubMed  Google Scholar 

  14. Haider R, Ashworth A, Kabir I, Huttly SR: Effect of community-based peer counsellors on exclusive breastfeeding practices in Dhaka, Bangladesh: a randomised controlled trial. Lancet. 2000, 356: 1643-47. 10.1016/S0140-6736(00)03159-7.

    CAS  PubMed  Google Scholar 

  15. WHO, UNICEF: Integrated management of childhood illness: chartbook and training course. 1995, Geneva: World Health Organization

    Google Scholar 

  16. Santos I, Victora C, Martines J, Gonçalves H, Gigante D, Valle N, et al: Nutrition counseling increases weight gain among Brazilian children. Journal of Nutrition. 2001, 131 (11): 2866-73.

    CAS  PubMed  Google Scholar 

  17. Anderson A, Damio G, Young S, Chapman D, Perez-Escamilla R: A randomized trial assessing the efficacy of peer counseling on exclusive breastfeeding in a predominantly Latina low-income community. Arch Pediatr Adolesc Med. 2005, 159 (9): 836-41. 10.1001/archpedi.159.9.836. Epub 2005/09/07. doi: 159/9/836 [pii] 10.1001/archpedi.159.9.836. PubMed PMID: 16143742

    PubMed  Google Scholar 

  18. Dennis CL, Hodnett E, Gallop R, Chalmers B: The effect of peer support on breast-feeding duration among primiparous women: a randomized controlled trial. CMAJ. 2002, 166 (1): 21-8. Epub 2002/01/22. PubMed PMID: 11800243

    PubMed Central  PubMed  Google Scholar 

  19. Alvarado R, Atalah E, Diaz S, Rivero S, Labbe M, Escudero Y: Evaluation of a breastfeeding-support programme with health promoters’ participation. Food Nutr Bull. 1996, 17 (1): 49-53.

    Google Scholar 

  20. Noel-Weiss J, Rupp A, Gragg B, Bassett V, Woodend K: Randomized Controlled Trial to Determine Effects of Prenatal Breastfeeding Workshop on Maternal Breastfeeding Self-Efficacy and Breastfeeding Duration. JOGNN. 2006, 35: 616-24. 10.1111/j.1552-6909.2006.00077.x.

    PubMed  Google Scholar 

  21. Lin SS, Chien LY, Tai CJ, Lee CF: Effectiveness of a prenatal education programme on breastfeeding outcomes in Taiwan. J Clin Nurs. 2008, 17 (3): 296-303. Epub 2007/10/13. doi: JCN1927 [pii] 10.1111/j.1365-2702.2006.01927.x. PubMed PMID: 17931376

    PubMed  Google Scholar 

  22. Aidam B, Perez-Escamilla R, Lartey A: Lactation Counseling Increases Exclusive Breast-Feeding Rates in Ghana. The Journal of Nutrition. 2005, 135: 1691-5.

    CAS  PubMed  Google Scholar 

  23. Chapman DJ, Morel K, Anderson AK, Damio G, Perez-Escamilla R: Breastfeeding peer counseling: from efficacy through scale-up. J Hum Lact. 2010, 26 (3): 314-26. 10.1177/0890334410369481. Epub 2010/08/19. PubMed PMID: 20715336; PubMed Central PMCID: PMCPMC3115698

    PubMed Central  PubMed  Google Scholar 

  24. Lumbiganon P, Martis R, Laopaiboon M, Festin M, Ho J, Hakimi M: Antenatal breastfeeding education for increasing breastfeeding duration. Cochrane Pregnancy and Childbirth Group. 2012

    Google Scholar 

  25. Imdad A, Yakoob MY, Bhutta ZA: Effect of breastfeeding promotion interventions on breastfeeding rates, with special focus on developing countries. BMC Public Health. 2011, 11 (Suppl 3): S24-10.1186/1471-2458-11-S3-S24. Epub 2011/04/29. doi: 10.1186/1471-2458-11-s3-s24. PubMed PMID: 21501442; PubMed Central PMCID: PMCPmc3231898

    PubMed Central  PubMed  Google Scholar 

  26. Walker N, Fischer-Walker C, Bryce J, Bahl R, Cousens S: Standards for CHERG reviews of intervention effects on child survival. Int J Epidemiol. 2010, 39 (Suppl 1): i21-31. Epub 2010/04/02. doi: dyq036 [pii] 10.1093/ije/dyq036. PubMed PMID: 20348122

    PubMed Central  PubMed  Google Scholar 

  27. Atkins D, Best D, Briss PA, Eccles M, Falck-Ytter Y, Flottorp S, et al: Grading quality of evidence and strength of recommendations. BMJ. 2004, 328 (7454): 1490-Epub 2004/06/19. doi: 10.1136/bmj.328.7454.1490 328/7454/1490 [pii]. PubMed PMID: 15205295

    PubMed  Google Scholar 

  28. RevMan: The Cochrane Colloboration. Review Manager (RevMan) 5 for Windows. 2003, Oxford, England

    Google Scholar 

  29. WHO: Indicators for assessing breastfeeding practices. 1991, WHO Geneva, Switzerland: WHO Document WHO/CDD/SER, 91: 14-

    Google Scholar 

  30. WHO: Indicators for Assessing Infant and Young Child Feeding Practices: Conclusions of a Consensus Meeting Held 6-8 November 2007 in Washington DC, USA. 2008, World Health Organization (WHO)

    Google Scholar 

  31. World Bank list of economies. 2009, Available from: http://siteresources.worldbank.org/DATASTATISTICS/Resources/CLASS.XLS

  32. Abolyan LV: The breastfeeding support and promotion in Baby-Friendly Maternity Hospitals and Not-as-Yet Baby-Friendly Hospitals in Russia. Breastfeed Med. 2006, 1 (2): 71-8. 10.1089/bfm.2006.1.71. Epub 2007/07/31. doi: 10.1089/bfm.2006.1.71. PubMed PMID: 17661566

    PubMed  Google Scholar 

  33. Aksu H, Küçük M, Düzgün G: The effect of postnatal breastfeeding education/support offered at home 3 days after delivery on breastfeeding duration and knowledge: a randomized trial. J Matern Fetal Neonatal Med. 2011, 24 (2): 354-61. 10.3109/14767058.2010.497569.

    PubMed  Google Scholar 

  34. Arifeen S, Hoque D, Akter T, Rahman M, Hoque M, Begum K, et al: Effect of the Integrated Management of Childhood Illness strategy on childhood mortality and nutrition in a rural area in Bangladesh: a cluster randomised trial. Lancet. 2009, 374 (9687): 393-403. 10.1016/S0140-6736(09)60828-X.

    PubMed  Google Scholar 

  35. Bashour H, Kharouf M, Abdulsalam A, El Asmar K, Tabbaa M, Cheikha S: Effect of postnatal home visits on maternal/infant outcomes in Syria: a randomized controlled trial. Public Health Nurs. 2008, 25 (2): 115-25. 10.1111/j.1525-1446.2008.00688.x.

    PubMed  Google Scholar 

  36. Bhandari N, Bahl R, Mazumdar S, Martines J, Black R, Bhan M: Infant Feeding Study Group. Effect of community-based promotion of exclusive breastfeeding on diarrhoeal illness and growth: a cluster randomised controlled trial. Lancet. 2003, 361 (9367): 1418-23. 10.1016/S0140-6736(03)13134-0.

    PubMed  Google Scholar 

  37. Bhutta Z, Memon Z, Soofi S, Salat M, Cousens S, Martines J: Implementing community-based perinatal care: results from a pilot study in rural Pakistan. Bull World Health Organ. 2008, 86 (6): 452-9.

    PubMed Central  PubMed  Google Scholar 

  38. Bonuck K, Freeman K, Trombley M: Randomized Controlled Trial of a Prenatal and Postnatal Lactation Consultant Intervention on Infant Health Care Use. Arch Pediatr Adolesc Med. 2006, 160: 953-60. 10.1001/archpedi.160.9.953.

    PubMed  Google Scholar 

  39. de Oliveira L, Giugliani E, domEspíritomSanto L, França M, Weigert E, Kohler C, et al: Effect of intervention to improve breastfeeding technique on the frequency of exclusive breastfeeding and lactation-related problems. J Hum Lact. 2006, 22 (3): 315-21. 10.1177/0890334406290221.

    PubMed  Google Scholar 

  40. Forster D, McLachlan H, Lumley J, Beanland C, Waldenstrom U, Amir L: Two mid-pregnancy interventions to increase the initiation and duration of breastfeeding: a randomized controlled trial. Birth. 2004, 31 (3): 176-82. 10.1111/j.0730-7659.2004.00302.x. Epub 2004/08/28. doi: 10.1111/j.0730-7659.2004.00302.x BIR302 [pii]. PubMed PMID: 15330879

    PubMed  Google Scholar 

  41. Frank DA, Wirtz SJ, Sorenson JR, Heeren T: Commercial discharge packs and breast-feeding counseling: effects on infant-feeding practices in a randomized trial. Pediatrics. 1987, 80 (6): 845-54. Epub 1987/12/01. PubMed PMID: 3684395

    CAS  PubMed  Google Scholar 

  42. Froozani MD, Permehzadeh K, Motlagh AR, Golestan B: Effect of breastfeeding education on the feeding pattern and health of infants in their first 4 months in the Islamic Republic of Iran. Bull World Health Organ. 1999, 77 (5): 381-5. Epub 1999/06/11. PubMed PMID: 10361754

    PubMed Central  CAS  PubMed  Google Scholar 

  43. Gijsbers B, Mesters I, Knottnerus J, Kester A, Van Schayck C: The Success of an Educational Program to Promote Exclusive Breastfeeding for 6 Months in Families with a History of Asthma: A Randomized Controlled Trial. Pediatric Asthma, Allergy and Immunology. 2006, 19 (4): 214-22. 10.1089/pai.2006.19.214.

    Google Scholar 

  44. Graffy J, Taylor J, Williams A, Eldridge S: Randomised controlled trial of support from volunteer counsellors for mothers considering breast feeding. BMJ. 2004, 328 (7430): 26-10.1136/bmj.328.7430.26. Epub 2004/01/03. doi: 10.1136/bmj.328.7430.26 328/7430/26 [pii]. PubMed PMID: 14703543

    PubMed Central  PubMed  Google Scholar 

  45. Huang M, Kuo S, Avery M, Chen W, Lin K, Gau M: Evaluating effects of a prenatal web-based breastfeeding education programme in Taiwan. J Clin Nurs. 2007, 16 (8): 1571-9. 10.1111/j.1365-2702.2006.01843.x.

    PubMed  Google Scholar 

  46. Jakobsen MS, Sodemann M, Mølbak K, Alvarenga I, Aaby P: Promoting breastfeeding through health education at the time of immunizations: a randomized trial from Guinea Bissau. P Acta Paediatr. 1999, 88 (7): 741-7. 10.1111/j.1651-2227.1999.tb00035.x.

    CAS  Google Scholar 

  47. Khresheh R, Suhaimat A, Jalamdeh F, Barclay L: The effect of a postnatal education and support program on breastfeeding among primiparous women: a randomized controlled trial. Int J Nurs Stud. 2011, 48 (9): 1058-65. 10.1016/j.ijnurstu.2011.02.001.

    PubMed  Google Scholar 

  48. Kistin N, Abramson R, Dublin P: Effect of peer counselors on breastfeeding initiation, exclusivity, and duration among low-income urban women. J Hum Lact. 1994, 10 (1): 11-5. 10.1177/089033449401000121.

    CAS  PubMed  Google Scholar 

  49. Kools E, Thijs C, Kester A, van den Brandt P, de Vries H: A breast-feeding promotion and support program a randomized trial in the Netherlands. Preventive Medicine. 2005, 40 (1): 60-70. 10.1016/j.ypmed.2004.05.013.

    PubMed  Google Scholar 

  50. Kronborg H, Vaeth M, Olsen J, Iversen L, Harder I: Effect of early postnatal breastfeeding support: a cluster-randomized community based trial. Acta Paediatr. 2007, 96 (7): 1064-70. 10.1111/j.1651-2227.2007.00341.x. Epub 2007/05/26. doi: APA341 [pii] 10.1111/j.1651-2227.2007.00341.x. PubMed PMID: 17524018

    CAS  PubMed  Google Scholar 

  51. Kruske S, Schmied V, Cook M: The 'Earlybird' gets the breastmilk: findings from an evaluation of combined professional and peer support groups to improve breastfeeding duration in the first eight weeks after birth. Matern Child Nutr. 2007, 3 (2): 108-19. 10.1111/j.1740-8709.2007.00078.x.

    PubMed  Google Scholar 

  52. Kupratakul J, Taneepanichskul S, Voramongkol N, Phupong V: A randomized controlled trial of knowledge sharing practice with empowerment strategies in pregnant women to improve exclusive breastfeeding during the first six months postpartum. J Med Assoc Thai. 2010, 93 (9): 1009-18. Epub 2010/09/29. PubMed PMID: 20873071

    PubMed  Google Scholar 

  53. Labarere J, Gelbert-Baudino N, Ayral AS, Duc C, Berchotteau M, Bouchon N, et al: Efficacy of breastfeeding support provided by trained clinicians during an early, routine, preventive visit: a prospective, randomized, open trial of 226 mother-infant pairs. Pediatrics. 2005, 115 (2): e139-46. 10.1542/peds.2004-1362. Epub 2005/02/03. doi: 115/2/e139 [pii] 10.1542/peds.2004-1362. PubMed PMID: 15687421

    PubMed  Google Scholar 

  54. Labarere J, Bellin V, Fourny M, Gagnaire J, Francois P, Pons J: Assessment of a structured in-hospital educational intervention addressing breastfeeding: a prospective randomised open trial. BJOG. 2003, 110 (9): 847-52. 10.1111/j.1471-0528.2003.02539.x.

    PubMed  Google Scholar 

  55. Langer A: Intrapartum Social Support and Exclusive Breastfeeding in Mexico. Wellstart International, Expanded Promotion of Breastfeeding Program Exclusive Breastfeeding Promotion: A Summary of Findings from EPB's Applied Research Program (1992-1996). 1996

    Google Scholar 

  56. Lin CH, Kuo SC, Lin KC, Chang TY: Evaluating effects of a prenatal breastfeeding education programme on women with caesarean delivery in Taiwan. J Clin Nurs. 2008, 17 (21): 2838-45. 10.1111/j.1365-2702.2008.02289.x. Epub 2008/07/16. doi: JCN2289 [pii] 10.1111/j.1365-2702.2008.02289.x. PubMed PMID: 18624780

    PubMed  Google Scholar 

  57. Mattar CN, Chong YS, Chan YS, Chew A, Tan P, Chan YH, et al: Simple antenatal preparation to improve breastfeeding practice: a randomized controlled trial. Obstet Gynecol. 2007, 109 (1): 73-80. 10.1097/01.AOG.0000249613.15466.26. Epub 2007/01/02. doi: 109/1/73 [pii] 10.1097/01.AOG.0000249613.15466.26. PubMed PMID: 17197590

    PubMed  Google Scholar 

  58. McDonald SJ, Henderson JJ, Faulkner S, Evans SF, Hagan R: Effect of an extended midwifery postnatal support programme on the duration of breast feeding: A randomised controlled trial. Midwifery. 2010, 26: 88-100. 10.1016/j.midw.2008.03.001.

    PubMed  Google Scholar 

  59. McInnes RJ, Love JG, Stone DH: Evaluation of a community-based intervention to increase breastfeeding prevalence. J Public Health Med. 2000, 22 (2): 138-45. 10.1093/pubmed/22.2.138. Epub 2000/07/27. PubMed PMID: 10912550

    CAS  PubMed  Google Scholar 

  60. McKeever P, Stevens B, Miller K, MacDonell J, Gibbins S, Querriere D, et al: Home versus Hospital Breastfeeding Support for Newborns: A Randomized Controlled Trial. BIRTH. 2002, 29 (4): 258-65. 10.1046/j.1523-536X.2002.00200.x.

    PubMed  Google Scholar 

  61. McQueen K, Dennis C, Stremker R, Norman C: A Pilot Randomized Controlled Trial of a Breastfeeding Self-Efficacy Intervention With Primiparous Mothers. JOGNN. 2011, 40: 35-46. 10.1111/j.1552-6909.2010.01210.x.

    PubMed  Google Scholar 

  62. Morrell CJ, Spiby H, Stewart P, Walters S, Morgan A: Costs and effectiveness of community postnatal support workers: randomised controlled trial. BMJ. 2000, 321 (7261): 593-8. 10.1136/bmj.321.7261.593. Epub 2000/09/08. PubMed PMID: 10977833

    PubMed Central  CAS  PubMed  Google Scholar 

  63. Muirhead PE, Butcher G, Rankin J, Munley A: The effect of a programme of organised and supervised peer support on the initiation and duration of breastfeeding: a randomised trial. Br J Gen Pract. 2006, 56 (524): 191-7. Epub 2006/03/16. PubMed PMID: 16536959

    PubMed Central  PubMed  Google Scholar 

  64. Nommsen-Rivers LA, Mastergeorge AM, Hansen RL, Cullum AS, Dewey KG: Doula care, early breastfeeding outcomes, and breastfeeding status at 6 weeks postpartum among low-income primiparae. J Obstet Gynecol Neonatal Nurs. 2009, 38 (2): 157-73. 10.1111/j.1552-6909.2009.01005.x. Epub 2009/03/28. doi: JOGN1005 [pii] 10.1111/j.1552-6909.2009.01005.x. PubMed PMID: 19323712

    PubMed  Google Scholar 

  65. Petrova A, Ayers C, Stechna S, Gerling JA, Mehta R: Effectiveness of exclusive breastfeeding promotion in low-income mothers: a randomized controlled study. Breastfeed Med. 2009, 4 (2): 63-9. 10.1089/bfm.2008.0126. Epub 2009/02/26. doi: 10.1089/bfm.2008.0126. PubMed PMID: 19239405

    PubMed  Google Scholar 

  66. Porteous R, Kaufman K, Rush J: The effect of individualized professional support on duration of breastfeeding: a randomized controlled trial. J Hum Lact. 2000, 16 (4): 303-8. 10.1177/089033440001600406. Epub 2001/01/13. PubMed PMID: 11155608

    CAS  PubMed  Google Scholar 

  67. Pugh LC, Milligan RA, Frick KD, Spatz D, Bronner Y: Breastfeeding duration, costs, and benefits of a support program for low-income breastfeeding women. Birth. 2002, 29 (2): 95-100. 10.1046/j.1523-536X.2002.00169.x. Epub 2002/05/10. doi: 169 [pii]. PubMed PMID: 12000411

    PubMed  Google Scholar 

  68. Rasmussen K, Dieterich C, Zelek S, Altabet J, Kjolhede C: Interventions to Increase the Duration of Breastfeeding in Obese Mothers: The Bassett Improving Breastfeeding Study. Breastfeeding Medicine. 2011, 6 (2): 69-75. 10.1089/bfm.2010.0014.

    PubMed  Google Scholar 

  69. Ryan A, Zhou W: Lower breastfeeding rates persist among the Special Supplemental Nutrition Program for Women, Infants, and Children participants, 1978-2003. Pediatrics. 2006, 117 (4): 1136-46. 10.1542/peds.2005-1555.

    PubMed  Google Scholar 

  70. Sandy J, Anisfeld E, Ramirez E: Effects of a prenatal intervention on breastfeeding initiation rates in a Latina immigrant sample. J Hum Lact. 2009, 25 (4): 404-11. 10.1177/0890334409337308.

    PubMed  Google Scholar 

  71. Sciacca JP, Phipps BL, Dube DA, Ratliff MI: Influences on breast-feeding by lower-income women: an incentive-based, partner-supported educational program. J Am Diet Assoc. 1995, 95 (3): 323-8. 10.1016/S0002-8223(95)00083-6. Epub 1995/03/01. doi: S0002-8223(95)00083-6 [pii] 10.1016/S0002-8223(95)00083-6. PubMed PMID: 7860944

    CAS  PubMed  Google Scholar 

  72. Simonetti V, Palma E, Giglio A, Mohn A, Cicolini G: A structured telephonic counselling to promote the exclusive breastfeeding of healthy babies aged zero to six months: a pilot study. Int J Nurs Pract. 2012, 18 (3): 289-94. 10.1111/j.1440-172X.2012.02040.x.

    PubMed  Google Scholar 

  73. Sjolin S, Hofvander Y, Hillervik C: A prospective study of individual courses of breast feeding. Acta Paediatr Scand. 1979, 68 (4): 521-9. Epub 1979/07/01. PubMed PMID: 463534

    CAS  PubMed  Google Scholar 

  74. Su LL, Chong YS, Chan YH, Chan YS, Fok D, Tun KT, et al: Antenatal education and postnatal support strategies for improving rates of exclusive breast feeding: randomised controlled trial. BMJ. 2007, 335 (7620): 596-10.1136/bmj.39279.656343.55. Epub 2007/08/03. doi: bmj.39279.656343.55 [pii] 10.1136/bmj.39279.656343.55. PubMed PMID: 17670909

    PubMed Central  PubMed  Google Scholar 

  75. Susin L, Giugliani E: Inclusion of fathers in an intervention to promote breastfeeding: impact on breastfeeding rates. J Hum Lact. 2008, 24 (4): 386-92. 10.1177/0890334408323545.

    PubMed  Google Scholar 

  76. Tahir NM, Al-Sadat N: Does telephone lactation counselling improve breastfeeding practices?: A randomised controlled trial. Int J Nurs Stud. 2013, 50: 16-25. 10.1016/j.ijnurstu.2012.09.006.

    PubMed  Google Scholar 

  77. Taveras E, Blackburn K, Gillman M, Haines J, McDonald J, Price S, et al: First steps for mommy and me: a pilot intervention to improve nutrition and physical activity behaviors of postpartum mothers and their infants. Matern Child Health J. 2011, 15 (8): 1217-27. 10.1007/s10995-010-0696-2.

    PubMed Central  PubMed  Google Scholar 

  78. Turan J, Say L: Community-based antenatal education in Istanbul, Turkey: effects on health behaviours. Health Policy Plan. 2003, 18 (4): 391-8. 10.1093/heapol/czg047.

    PubMed  Google Scholar 

  79. Valdes V, Perez A, Labbok M, Pugin E, Zambrano I, Catalan S: The Impact of a Hospital and Clinic-based Breastfeeding Promotion Programme in a Middle Class Urban Environment. Journal of Tropical Pediatrics. 1993, 39: 142-51. 10.1093/tropej/39.3.142.

    CAS  PubMed  Google Scholar 

  80. Valdés V, Pugin E, Schooley J, Catalán S, Aravena R: Clinical support can make the difference in exclusive breastfeeding success among working women. J Trop Pediatr. 2000, 46 (3): 149-54. 10.1093/tropej/46.3.149.

    PubMed  Google Scholar 

  81. Vitolo M, Bortolini G, Feldens C, Drachle Mde L: [Impacts of the 10 Steps to Healthy Feeding in Infants: a randomized field trial]. Cad Saude Publica. 2005, 21 (5): 1448-57. 10.1590/S0102-311X2005000500018.

    PubMed  Google Scholar 

  82. Wallace LM, Dunn OM, Alder EM, Inch S, Hills RK, Law SM: A randomised-controlled trial in England of a postnatal midwifery intervention on breast-feeding duration. Midwifery. 2006, 22 (3): 262-73. 10.1016/j.midw.2005.06.004. Epub 2005/12/29. doi: S0266-6138(05)00064-1 [pii] 10.1016/j.midw.2005.06.004. PubMed PMID: 16380197

    PubMed  Google Scholar 

  83. Wen L, Baur L, Simpson J, Rissel C, Flood V: Effectiveness of an early intervention on infant feeding practices and "tummy time": a randomized controlled trial. Arch Pediatr Adolesc Med. 2011, 165 (8): 701-7. 10.1001/archpediatrics.2011.115.

    PubMed  Google Scholar 

  84. Wiles LS: The effect of prenatal breastfeeding education on breastfeeding success and maternal perception of the infant. JOGN Nurs. 1984, 13 (4): 253-7. 10.1111/j.1552-6909.1984.tb01136.x. Epub 1984/07/01. PubMed PMID: 6565110

    CAS  PubMed  Google Scholar 

  85. Wong EH, Nelson E, Choi KC, Wong KP, Ip C, Ho LC: Evaluation of a peer counselling programme to sustain breastfeeding practice in Hong Kong. Int Breastfeed J. 2007, 2: 12-10.1186/1746-4358-2-12. Epub 2007/09/22. doi: 1746-4358-2-12 [pii] 10.1186/1746-4358-2-12. PubMed PMID: 17883851

    PubMed Central  PubMed  Google Scholar 

  86. Wrenn SE: Effects of a model-based intervention on breastfeeding attrition [dissertation]. 1997, San Antonio: University of Texas

    Google Scholar 

  87. Tylleskär T, Jackson D, Meda N, Engebretsen IM, Chopra M, Diallo AH, et al: Exclusive breastfeeding promotion by peer counsellors in sub-Saharan Africa (PROMISE-EBF): a cluster-randomised trial. Lancet. 2011, 378 (9789): 420-7. 10.1016/S0140-6736(11)60738-1.

    PubMed  Google Scholar 

  88. Ryser F: Breastfeeding attitudes, intention, and initiation in low-income women: the effect of the best start program. Journal of Human Lactation. 2004, 20 (3): 300-5. 10.1177/0890334404266985.

    PubMed  Google Scholar 

  89. Pisacane A, Continisio GI, Aldinucci M, D'Amora S, Continisio P: A controlled trial of the father's role in breastfeeding promotion. Pediatrics. 2005, 116 (4): e494-e498. 10.1542/peds.2005-0479.

    PubMed  Google Scholar 

  90. Brent NB, Redd B, Dworetz A, D'Amico F, Greenberg JJ: Breast-feeding in a low-income population. Program to increase incidence and duration. Arch Pediatr Adolesc Med. 1995, 149 (7): 798-803. 10.1001/archpedi.1995.02170200088014. Epub 1995/07/01. PubMed PMID: 7795772

    CAS  PubMed  Google Scholar 

  91. Chapman DJ, Damio G, Young S, Perez-Escamilla R: Effectiveness of breastfeeding peer counseling in a low-income, predominantly Latina population: a randomized controlled trial. Arch Pediatr Adolesc Med. 2004, 158 (9): 897-902. 10.1001/archpedi.158.9.897. Epub 2004/09/08. doi: 10.1001/archpedi.158.9.897 158/9/897 [pii]. PubMed PMID: 15351756

    PubMed  Google Scholar 

  92. Garcia-Montrone V, Rose J: [An education experience for promoting breast-feeding and infant stimulation by low-income women: a preliminary study]. Cad Saude Publica. 1996, 12 (1): 61-8. 10.1590/S0102-311X1996000100017.

    PubMed  Google Scholar 

  93. Gill SL, Reifsnider E, Lucke JF: Effects of support on the initiation and duration of breastfeeding. West J Nurs Res. 2007, 29 (6): 708-23. 10.1177/0193945906297376. Epub 2007/06/15. doi: 0193945906297376 [pii] 10.1177/0193945906297376. PubMed PMID: 17557933

    PubMed  Google Scholar 

  94. Greiner T, Mitra SN: Evaluation of the effect of a breastfeeding message integrated into a larger communication project. J Trop Pediatr. 1999, 45: 351-7. 10.1093/tropej/45.6.351.

    CAS  PubMed  Google Scholar 

  95. Gross S, Caulfield L, Bentley M, Bronner Y, Kessler L, Jensen J, et al: Counseling and motivational videotapes increase duration of breast-feeding in African-American WIC participants who initiate breast-feeding. J Am Diet Assoc. 1998, 98: 143-8. 10.1016/S0002-8223(98)00037-6.

    CAS  PubMed  Google Scholar 

  96. Ingram J, Rosser J, Jackson D: Breastfeeding peer supporters and a community support group: evaluating their effectiveness. Matern Child Nutr. 2005, 1: 111-8. 10.1111/j.1740-8709.2005.00005.x.

    PubMed  Google Scholar 

  97. Johnston B, Huebner C, Anderson M, Tyll L, Thompson R: Healthy steps in an integrated delivery system: child and parent outcomes at 30 months. Arch Pediatr Adolesc Med. 2006, 160 (8): 793-800. 10.1001/archpedi.160.8.793.

    PubMed  Google Scholar 

  98. Jones DA, West RR: Lactation nurse increases duration of breast feeding. Arch Dis Child. 1985, 60 (8): 772-4. 10.1136/adc.60.8.772. Epub 1985/08/01. PubMed PMID: 4037866

    PubMed Central  CAS  PubMed  Google Scholar 

  99. Kang J, Choi S, Ryu E: Effects of a breastfeeding empowerment programme on Korean breastfeeding mothers: a quasi-experimental study. Int J Nurs Stud. 2008, 45 (1): 14-23. 10.1016/j.ijnurstu.2007.03.007.

    PubMed  Google Scholar 

  100. Kumar V, Mohanty S, Kumar A, Misra RP, Santosham M, Awasthi S, et al: Effect of community-based behaviour change management on neonatal mortality in Shivgarh, Uttar Pradesh, India: a cluster-randomised controlled trial. Lancet. 2008, 372 (9644): 1151-62. 10.1016/S0140-6736(08)61483-X.

    PubMed  Google Scholar 

  101. Lieu T, Braveman P, Escobar G, Fischer A, Jensvold N, Capra A: A Randomized Comparison of Home and Clinic Follow-Up Visits After Early Postpartum Hospital Discharge. Pediatrics. 2000, 105 (5): 1058-65. 10.1542/peds.105.5.1058.

    CAS  PubMed  Google Scholar 

  102. Lieu T, Wikler C, Capra A, Martin K, Escobar G, Braveman P: Clinical Outcomes and Maternal Perceptions of an Updated Model of Perinatal Care. Pediatrics. 1998, 102 (6): 1437-44. 10.1542/peds.102.6.1437.

    CAS  PubMed  Google Scholar 

  103. Long D, Funk-Archeluta M, Geiger C, Mozar A, Heins J: Peer Counselor Program Increases Breastfeeding Rates in Utah Native American WIC Population. Journal of Human Lactation. 1995, 11 (4): 279-84. 10.1177/089033449501100414.

    CAS  PubMed  Google Scholar 

  104. Lovera D, Sanderson M, Bogle M, Vela Acosta M: Evaluation of a breastfeeding peer support program for fathers of Hispanic participants in a Texas special supplemental nutrition program for women, infants, and children. J Am Diet Assoc. 2010, 110 (11): 1696-702. 10.1016/j.jada.2010.08.001.

    PubMed  Google Scholar 

  105. Lynch SA, Koch AM, Hislop TG, Coldman AJ: Evaluating the effect of a breastfeeding consultant on the duration of breastfeeding. Can J Public Health. 1986, 77 (3): 190-5. Epub 1986/05/01. PubMed PMID: 3742402

    CAS  PubMed  Google Scholar 

  106. Mongeon M, Allard R: [Controlled study of a regular telephone support program given by volunteers on the establishment of breastfeeding]. Can J Public Health. 1995, 86 (2): 124-7. Epub 1995/03/01. PubMed PMID: 7757891

    CAS  PubMed  Google Scholar 

  107. Mottl-Santiago J, Walker C, Ewan J, Vragovic O, Winder S, Stubblefield P: A Hospital-Based Doula Program and Childbirth Outcomes in an Urban, Multicultural Setting. Matern Child Health J. 2008, 12: 372-7. 10.1007/s10995-007-0245-9.

    PubMed  Google Scholar 

  108. Olson BH, Haider SJ, Vangjel L, Bolton TA, Gold JG: A quasi-experimental evaluation of a breastfeeding support program for low income women in Michigan. Matern Child Health J. 2010, 14 (1): 86-93. 10.1007/s10995-008-0430-5. Epub 2008/12/17. doi: 10.1007/s10995-008-0430-5. PubMed PMID: 19082697

    PubMed  Google Scholar 

  109. Hill P: Effects of Education on Breastfeeding Success. Maternal-Child Nursing Journal. 1987, 16 (2): 145-56.

    CAS  PubMed  Google Scholar 

  110. Rishel P: Comparison of Breastfeeding Rates among Women Delivering Infants in Military Treatment Facilities with and without Lactation Consultants. Military Medicine. 2005, 170 (5): 435-8.

    PubMed  Google Scholar 

  111. Martens PJ: Does breastfeeding education affect nursing staff beliefs, exclusive breastfeeding rates, and Baby-Friendly Hospital Initiative compliance? The experience of a small, rural Canadian hospital. J Hum Lact. 2000, 16 (4): 309-18. 10.1177/089033440001600407.

    CAS  PubMed  Google Scholar 

  112. Pugh LC, Serwint JR, Frick KD, Nanda JP, Sharps PW, Spatz DL, et al: A randomized controlled community-based trial to improve breastfeeding rates among urban low-income mothers. Acad Pediatr. 2010, 10: 14-20. 10.1016/j.acap.2009.07.005.

    PubMed Central  PubMed  Google Scholar 

  113. Quinlivan JA, Box H, Evans SF: Postnatal home visits in teenage mothers: a randomised controlled trial. Lancet. 2003, 361 (9361): 893-900. 10.1016/S0140-6736(03)12770-5. Epub 2003/03/22. doi: S0140-6736(03)12770-5 [pii] 10.1016/S0140-6736(03)12770-5. PubMed PMID: 12648967

    PubMed  Google Scholar 

  114. Redman S, Watkins J, Evans L, LLoyd D: Evaluation of an Australian intervention to encourage breast feeding in primiparous women. Health Prom Int. 1995, 10 (2): 101-13. 10.1093/heapro/10.2.101.

    Google Scholar 

  115. Reifsnider E, Eckhart D: Prenatal breastfeeding education: its effect on breastfeeding among WIC participants. Journal of Human Lactation. 1997, 13 (2): 121-5. 10.1177/089033449701300212.

    CAS  PubMed  Google Scholar 

  116. Rosen IM, Krueger MV, Carney LM, Graham JA: Prenatal breastfeeding education and breastfeeding outcomes. MCN Am J Matern Child Nurs. 2008, 33 (5): 315-319. 10.1097/01.NMC.0000334900.22215.ec.

    PubMed  Google Scholar 

  117. Rossiter JC: The effect of a culture-specific education program to promote breastfeeding among Vietnamese women in Sydney. International journal of nursing studies. 1994, 31 (4): 369-79. 10.1016/0020-7489(94)90077-9.

    CAS  PubMed  Google Scholar 

  118. Schafer E, Vogel MK, Viegas S, Hausafus C: Volunteer peer counselors increase breastfeeding duration among rural low-income women. Birth. 1998, 25 (2): 101-6. 10.1046/j.1523-536x.1998.00101.x.

    CAS  PubMed  Google Scholar 

  119. Schlickau J, Wilson M: Development and testing of a prenatal breastfeeding education intervention for Hispanic women. The Journal of perinatal education. 2005, 14 (4): 24-10.1624/105812405X72302.

    PubMed Central  PubMed  Google Scholar 

  120. Serwint J, Wilson M, Vogelhut J, Repke J, Seidel H: A randomized controlled trial of prenatal pediatric visits for urban, low-income families. Pediatrics. 1996, 98 (6 Pt 1): 1069-75.

    CAS  PubMed  Google Scholar 

  121. Shaw E, Kaczorowski J: The effect of a peer counseling program on breastfeeding initiation and longevity in a low-income rural population. Journal of Human Lactation. 1999, 15 (1): 19-25. 10.1177/089033449901500108.

    CAS  PubMed  Google Scholar 

  122. Taddei J, Westphal MF, Venancio S, Bogus C, Souza S: Breastfeeding training for health professionals and resultant changes in breastfeeding duration. Sao Paulo Med J. 2000, 118 (6): 185-91.

    CAS  PubMed  Google Scholar 

  123. Wilhelm SL, Rodehorst TK, Stepans MBF, Hertzog M, Berens C: Influence of intention and self-efficacy levels on duration of breastfeeding for midwest rural mothers. Applied Nursing Research. 2008, 21 (3): 123-30. 10.1016/j.apnr.2006.10.005.

    PubMed  Google Scholar 

  124. Wolfberg AJ, Michels KB, Shields W, O'Campo P, Bronner Y, Bienstock J: Dads as breastfeeding advocates: results from a randomized controlled trial of an educational intervention. American Journal of Obstetrics and Gynecology. 2004, 191 (3): 708-12. 10.1016/j.ajog.2004.05.019.

    PubMed  Google Scholar 

  125. MacArthur C, Jolly K, Ingram L, Freemantle N, Dennis CL, Hamburger R, et al: Antenatal peer support workers and initiation of breast feeding: cluster randomised controlled trial. BMJ. 2009, 338: b131-10.1136/bmj.b131.

    PubMed Central  PubMed  Google Scholar 

  126. Pobocik RS, Benavente JC, Schwab AC, Boudreau N, Morris CH, Sue Houston M: Effect of a breastfeeding education and support program on breastfeeding initiation and duration in a culturally diverse group of adolescents. Journal of Nutrition Education. 2000, 32 (3): 139-45. 10.1016/S0022-3182(00)70541-3.

    Google Scholar 

  127. Wambach KA, Aaronson L, Breedlove G, Domian EW, Rojjanasrirat W, Yeh HW: A randomized controlled trial of breastfeeding support and education for adolescent mothers. West J Nurs Res. 2011, 33 (4): 486-505. 10.1177/0193945910380408.

    PubMed  Google Scholar 

  128. Labarere J, Gelbert-Baudino N, Laborde L, Arragain D, Schelstraete C, Francois P: CD-ROM-based program for breastfeeding mothers. Maternal and Child Nutrition. 2011, 7: 263-72. 10.1111/j.1740-8709.2009.00235.x.

    PubMed  Google Scholar 

  129. Grossman LK, Harter C, Sachs L, Kay A: The effect of postpartum lactation counseling on the duration of breast-feeding in low-income women. Am J Dis Child. 1990, 144 (4): 471-4. Epub 1990/04/01. PubMed PMID: 2321612

    CAS  PubMed  Google Scholar 

  130. Henderson A, Stamp G, Pincombe J: Postpartum positioning and attachment education for increasing breastfeeding: a randomized trial. Birth. 2001, 28 (4): 236-42. 10.1046/j.1523-536X.2001.00236.x. Epub 2002/03/21. doi: 236 [pii]. PubMed PMID: 11903211

    CAS  PubMed  Google Scholar 

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Acknowledgment

This work was supported in part by a grant from the Bill & Melinda Gates Foundation.

Declarations

The publication costs for this supplement were funded by a grant from the Bill & Melinda Gates Foundation to the US Fund for UNICEF (grant 43386 to "Promote evidence-based decision making in designing maternal, neonatal, and child health interventions in low- and middle-income countries”). The Supplement Editor is the principal investigator and lead in the development of the Lives Saved Tool (LiST), supported by grant 43386. He declares that he has no competing interests.

This article has been published as part of BMC Public Health Volume 13 Supplement 3, 2013: The Lives Saved Tool in 2013: new capabilities and applications. The full contents of the supplement are available online at http://www.biomedcentral.com/bmcpublichealth/supplements/13/S3.

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Authors and Affiliations

  1. Division of Women & Child Health, The Aga Khan University, Karachi, 74800, Pakistan

    Sarah Haroon, Jai K Das, Rehana A Salam, Aamer Imdad & Zulfiqar A Bhutta

  2. Global Child Health and Policy, Centre for Global Child Health, The Hospital for Sick Children, Toronto, ON, Canada

    Zulfiqar A Bhutta

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  1. Sarah Haroon
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Correspondence to Zulfiqar A Bhutta.

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Competing interests

We do not have any financial or non-financial competing interests for this review. The publications costs for this paper are from a grant from the Bill & Melinda Gates Foundation to the US Fund for UNICEF (grant 43386 to "Promote evidence-based decision making in designing maternal, neonatal, and child health interventions in low- and middle-income countries”).

Authors' contributions

Dr ZAB was responsible for designing the review and coordinating the review. SH, JKD, AI and RAS were responsible for: data collection, screening the search results, screening retrieved papers against inclusion criteria, appraising quality of papers, abstracting data from papers, entering data into RevMan, analysis and interpretation of data and writing the review. ZAB, RAS and JKD critically reviewed and modified the manuscript.

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Haroon, S., Das, J.K., Salam, R.A. et al. Breastfeeding promotion interventions and breastfeeding practices: a systematic review. BMC Public Health 13, S20 (2013). https://doi.org/10.1186/1471-2458-13-S3-S20

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Keywords

  • Educational Intervention
  • Exclusive Breastfeed
  • Individual Counseling
  • Group Counseling
  • Oral Rehydration Therapy

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