Skip to content

Advertisement

  • Research
  • Open Access

Effects of family conversation on health care practices in Ethiopia: a propensity score matched analysis

  • 1Email author,
  • 2,
  • 1,
  • 1,
  • 1 and
  • 3
BMC Pregnancy and Childbirth201818 (Suppl 1) :372

https://doi.org/10.1186/s12884-018-1978-8

  • Published:

Abstract

Background

Maternal and newborn mortality rates in Ethiopia are among the highest in sub-Saharan Africa. The majority of deaths take place during childbirth or within the following 48 h. Therefore, ensuring facility deliveries with emergency obstetric and newborn care services available and immediate postnatal follow-up are key strategies to increase survival. In early 2014, the Family Conversation was implemented in 115 rural districts in Ethiopia, covering about 17 million people. It aimed to reduce maternal and newborn mortality by promoting institutional delivery, early postnatal care and immediate newborn care practices. More than 6000 Health Extension Workers were trained to initiate home-based Family Conversations with pregnant women and key household decision-makers. These conversations included discussions on birth preparedness, postpartum and newborn care needs to engage key household stakeholders in supporting women during their pregnancy, labor and postpartum periods. This paper examines the effects of the Family Conversation strategy on maternal and neonatal care practices.

Methods

We used cross-sectional data from a representative sample of 4684 women with children aged 0–11 months from 115 districts collected between December 2014 and January 2015. We compared intrapartum and newborn care practices related to the most recent childbirth, between those who reported having participated in a Family Conversation during pregnancy, and those who had not. Propensity score matched analysis was used to estimate average treatment effects of the Family Conversation strategy on intrapartum and newborn care practices, including institutional delivery, early postnatal and immediate breastfeeding.

Results

About 17% of the respondents reported having had a Family Conversation during their last pregnancy. Average treatment effects of 7, 12, 9 and 16 percentage-points respectively were found for institutional deliveries, early postnatal care, clean cord care and thermal care of the newborn (p < 0.05).

Conclusion

We found evidence that Family Conversation, and specifically the involvement of household members who were major decision-makers, was associated with better intrapartum and newborn care practices. This study adds to the evidence base that involving husbands and mothers-in-law, as well as pregnant women, in behavior change communication interventions could be critical for improving maternal and newborn care and therewith lowering mortality rates.

Keywords

  • Maternal
  • Newborn
  • Family conversation
  • Outcomes
  • Ethiopia

Background

Since 2000, Ethiopian health services have put in tremendous efforts to reduce maternal, neonatal and under-5 mortality. The achievements so far vary quite substantially: despite a reduction in the maternal mortality ratio from 871 deaths per 100,000 live births in 2000, to 412 deaths per 100,000 live births in 2016 [1, 2], maternal mortality in Ethiopia remains amongst the highest in sub-Saharan Africa. A substantial reduction was reported in the under-five mortality rate, which came down from 188 deaths per 1000 live births in 2000, to 67 deaths per 1000 live births in 2016. However, in the same period, the neonatal mortality rate came down at a slower pace from 49 deaths per 1000 live births in 2000, to 29 deaths per 1000 live births in 2016 and thus the contribution of neonatal deaths to under-five deaths increased from 26% in 2000, to 43% in 2016 [2]. Like other low and middle-income countries, the majority of neonatal and maternal deaths take place at childbirth or within the first 48 h after birth [3, 4].

Ensuring childbirth takes place at institutions with emergency obstetric and newborn care services, as well as postnatal follow-up of mother and newborn within 48 h of delivery, has been shown to reduce maternal and neonatal mortality [58]. Worldwide, both strategies have been adopted as mainstream approaches to reduce maternal and newborn deaths [9].

In Ethiopia, the coverage of services for mothers and newborns at critical times has been relatively low; however, some improvements have been reported in the past 5 years. The Ethiopian Demographic and Health Survey reported in 2011 that institutional delivery occurred for 10% of all deliveries, while 7% of mothers and newborns received early postnatal care; in 2016 this had increased to 26% and 16%, respectively [2]. In 2010, a large population-based survey in Ethiopia on household level newborn care practices showed that only 25% of newborns got thermal care, 46% had clean cord care and 54% of babies were put to breast immediately after birth [10].

The power structures within families has been proposed as one reason why institutional delivery rates and postnatal care coverage are so low [11, 12]. In Ethiopia, a relatively traditional society, family power structures can have a negative effect on health outcomes [13]. It often occurs, for example, that a pregnant woman – who has been trained by health workers and is aware of her need for care – is not the person who decides whether to go to the health facility; her husband, her mother-in-law, her mother and sometimes her neighbors – who might be less informed about the most up-to-date care recommendations and might therefore be inclined to follow more traditional practices [14, 15] – take decisions regarding household practices and care seeking on her behalf [1618].

The overriding factors that affect decision making against the “preferable practices” as promoted by health workers, can be found in the lack of awareness of obstetrical risks in the absence of skilled personal and equipment, in combination with deep rooted cultural beliefs and practices, which include a traditional preference for home delivery [11], discarding colostrum, delaying breastfeeding, pre-lacteal feeding, applying something to the umbilical cord, insufficient thermal care, early bathing of the newborn and low care seeking for MNH [19, 20]. Therefore, successful engagements of the community health workers with family members and primary care givers for pregnant women and newborns and adequate communication of the evidence and risks around child birth for both mother and newborn could facilitate improved health care-seeking, as well as improved uptake of several MNH care practices and behaviors. Community health workers who are deployed at the grassroots level, could be well positioned health cadres to discuss deep rooted religious and cultural practices that are risky to newborn and maternal health [21, 22].

This paper reports on an evaluation of the association between and possible effect of Family Conversations on MNH care seeking and newborn care practices. It is one in a series of four papers investigating innovations designed to support Ethiopia’s flagship Health Extension Program (HEP) to improve MNH in Ethiopia. The other three papers consider the Women’s Development Army, Community-Based Data for Decision-Making (CBDDM) and a Participatory Community Quality Improvement strategy [2325].

Methods

Study setting

The study setting has been described in detail in Additional files 1, 2 and 3 of the first paper in this supplement [23]. In short, this study was conducted in 115 rural districts from four agrarian regions (Tigray, Amhara, Oromia and Southern Nations, Nationalities and Peoples region) of Ethiopia.

The primary health care system of Ethiopia, the foundation of the three-tier health system of the country, comprises of a district hospital, three to four health centers, each serving about five health posts. The primary health care unit (PHCU), formed of one health center and five satellite health posts, serves an average of 25,000 people. Health center staff provide basic preventive and curative health services including basic emergency obstetric and newborn care (BEmONC), and supervise the satellite health posts. The Health Extension Program, Ethiopia’s flagship program launched in 2004, comprises the health posts with two female Health Extension Workers (HEWs) serving a community (kebele) of about five thousand people with basic community-based promotive, preventive and curative health services. To further extend the reach of the Health Extension Program and mobilize the community and households, a network of Women’s Development Army (WDA) volunteers, previously called Health Development Army, was established in 2011. It comprises one WDA member for every five households based on social and geographical proximity, whose role is to influence community members to practice healthy behaviors. For every six WDA members, and thus for every 30 households, one WDA member was chosen as a ‘1-to-30’ team leader.

The Last Ten Kilometers (L10 K) Project has been working closely with the government to implement innovative strategies to engage local communities in improving reproductive, maternal, newborn and child health interventions. L10 K aimed to contribute towards the achievement of the Millennium Development Goal targets related to maternal and child health in Ethiopia through enhancing interaction between households, communities and the Health Extension Program. L10 K’s foundational community strategy, referred to as the L10 K Platform, was implemented in 115 woredas (districts) of the four regions. This Platform includes community level innovations such as Community Based Data for Decision Making (CBDDM), Family Conversation and Birth Notification. CBDDM is a surveillance mechanism which enables WDA members to map their network of 25 to 30 households to ensure needed and targeted health services to households. One of L10 K’s interventions to improve demand for and utilization of maternal and neonatal health care, and in particular, issues related to family power structures, is the Family Conversation. A Family Conversation is a health education session organized by a HEW (usually together with a WDA team leader) at a pregnant woman’s home.

Description of the family conversation

The Family Conversation is an informal meeting between a health worker and several household and community members who potentially play a role in the decision making around a pregnant woman and/or her newborn. The conversation was designed to engage close family members and relatives of the pregnant woman (such as her husband, her mother, mother in-law, elder sisters) who are expected to support her during pregnancy, labor, delivery and the postpartum period. It creates an opportunity to discuss issues such as birth preparedness and essential newborn practices with all these family members together. The conversation consists of two parts: an early visit when a woman is 4–6 months pregnant and a later visit when she is around 8–9 months pregnant. For the first visit, once a pregnant woman has been identified by the WDA or a HEW, a convenient moment is sought to get the family together. In the meeting, the HEW or WDA member, and sometimes both HEWs and WDA members together, provide education on favorable key actions by the household during pregnancy and in the first months of the newborn’s life to minimize risks to mother and child. An important topic that is addressed in the meeting is the benefit of continued antenatal care for both mother and child. Families are encouraged to engage in antenatal care, including at least one visit taking place at the health center, and are talked through the appropriate timing of antenatal care. Other topics discussed during this meeting include the importance of good nutrition, the need to start saving money for the delivery, knowledge about danger signs during pregnancy and how to act if an emergency occurs. The HEW or WDA member discusses potential barriers to care with the families and they try to determine solutions jointly to overcome these barriers. The pregnant woman is given a family health guide as a reference booklet: this guide contains illustrated educational material around antenatal care, birth preparedness, delivery, postnatal care, danger signs, and early newborn care.

When the pregnant woman approaches delivery, the HEW or WDA member organizes a second Family Conversation session. The main aim of this session is to develop a plan for labor and delivery. The HEW or WDA member will reiterate how to recognize labor and any danger signs and help the families develop a clear birth plan. This plan covers decisions on issues such as the essential items the family need to have ready when labor starts, the place of delivery, what transport will be used, how costs for transport and other services will be covered, who will support the pregnant woman during labor and delivery, and who will take care of the household, and possibly other children, whilst the pregnant woman is away. If the HEW and WDAs notice any potential barrier in the family for the intended behavior, they may arrange extra visits to the family to conduct further dialogues or reinforce messages with family members. In addition, families are educated using the family health guide on immediate newborn care practices such as clean cord care, thermal care, and immediate and exclusive breastfeeding.

The Family Conversation strategy was implemented in 3070 kebeles, and over 6000 HEWs were given a two-day orientation training on Family Conversations, integrated with the woreda level performance review and a refresher training meeting, between late 2013 and early 2014. The HEWs were oriented at woreda level in 115 woredas by field-level project staff. The orientation included a presentation on the benefit of engaging husbands and families for reproductive, maternal, newborn and child health care, discussions on how to use the Family Conversation guides and the family health guide, role play, and how HEWs can orient the WDA at village level. HEWs were also oriented on how to provide on the job training and mentoring to the WDA while they conduct a Family Conversation. After the orientation, supportive supervision was conducted with HEWs by health center, woreda and project staff. Performance review and refresher training meetings were organized after 4 months of implementation. Implementation status was followed through the supportive supervision and the project management information system. The evaluation survey was conducted between December 2014 and January 2015.

Study participants

The study participants were women with children aged 0–11 months.

Study design

This was a cross-sectional study that measured the effects of self-reported exposure to the Family Conversation strategy during antenatal period on maternal and newborn health care practices during childbirth and postpartum period.

Sample size

This study analysed follow-up data from before-and-after household and health post surveys conducted in January 2010–February 2011 and January 2014–February 2015 to evaluate the L10 K program. In the follow-up survey 4801 new mothers were interviewed from 400 kebeles representing all 115 L10 K intervention woredas. Data from 10 kebeles were dropped, as the kebele level information of some of the contextual variables were not available. Thus, the sample size available for this study was 4684 women with children aged 0 to 11 months (see Additional file 1 of the first paper in this supplement for the sample size calculation for the evaluation [23]).

Data collection

Ethical clearance was obtained from the Institutional Review Boards of the respective Regional Health Bureaus and that of JSI Research & Training Institute, Inc. The survey methodology is described in detail in the Additional files 1, 2 and 3 of the first paper in this supplement [23]. In brief, two-stage stratified cluster sampling representing the L10 K platform woredas was performed to draw a representative sample of households with children aged 0–11 months. At the first stage, kebeles were selected as primary sampling units with probability proportional to their estimated population sizes, stratified by region. At the second stage, the sampling strategy described by Lemeshow and Robinson (1985) was used to select households with target respondents [26]. Accordingly, the first household was selected randomly from the middle of the kebele and then every fifth household was visited, moving away from the middle, and if the household had women with children aged 0–11 months, they were interviewed, after seeking their consent. If the respondent was under 18 years old, then consent was sought from her husband, parents or guardian. A quota of 12 women was interviewed from each kebele to obtain information on their socio-demographic background and the MNH care behavior and practices associated with their most recent pregnancy and childbirth. In a very few cases the interviewers mistakenly interviewed a few more or a few less women than the quota for a kebele.

The health posts for the sampled kebeles were visited to conduct interviews with the HEWs and review the health post records to obtain information on the HEW-population ratio, the WDA team leader-household ratio, and the intensity of the CBDDM activities of the L10 K project [24].

Outcome measurements

In this study five MNH care practices before, during and after childbirth were considered as program outcomes. The definitions of each of the outcomes of interest are shown in Table 1.
Table 1

Definition of maternal and newborn care indicators

Indicator

Definition

Delivery at health facility

The percentage of women with children aged 0–11 months whose last childbirth was at a health facility

Early postnatal care

The percentage of women with children aged 0–11 months who were visited by HEWs at home for postnatal care or newborn care within 48 h of last childbirth

Clean cord care of their newborn

The percent of most recent births, not assisted by skilled birth attendants, among women with children aged 0–11 months whose umbilical cord was cut with a sterile instrument, tied with sterile thread, and had nothing appliedto the cut end of the umbilical cord

Thermal care of their newborn

The percent of women with children aged 0–11 months who were not assisted by skilled professional but who dried and wrapped their last newborn immediatelyafter birth, delayed bathing the newborn by 6 h or more, and always maintained skin-to-skin contact with the baby

Immediate breastfeeding

The percentage of women who initiated breastfeeding the newborn immediately after birth, among those who were not assisted by skilled birth attendants

HEW Health Extension Worker

Independent variables

We hypothesized that the selected maternal and newborn health care practices would be influenced by the Family Conversations. The exposure in our study was therefore defined as self-reported participation in a Family Conversation during the most recent pregnancy. Respondents were considered to have been exposed to a Family Conversation if they reported that the HEW or the WDA member had had at least one meeting with the pregnant woman and her family to discuss pregnancy care and childbirth issues.

Data on possible confounders were also captured and included individual, household and kebele-level sample characteristics, administrative regions, and antenatal care attendance by the respondents. The individual level characteristics considered were age, education, marital status, parity and religion; the household-level characteristics were wealth and distance of the respondents’ household from the nearest health facility; and the kebele-level characteristics considered were HEW to population ratio, the WDA density and the intensity of CBDDM implementation. In addition, receiving early postnatal care was also used as a control variable for the intervention effects on newborn care practices.

A wealth index score was constructed for each household with the principal component analysis of the household possessions (electricity, watch, radio, television, mobile phone, telephone, refrigerator, table, chair, bed, electric stove and kerosene lamp), and household characteristics (type of latrine and water source). Subsequently, households were ranked according to wealth score and then divided into five quintiles [27].

The WDA density in a kebele was the ratio between the total number of households and the number of active WDA team leaders in that kebele. Active WDA team leaders were those who met with the HEW and had discussions on Health Extension Program issues during the 3 months preceding the survey.

Each kebele was assigned an intensity of CBDDM implementation score based four items obtained from HEW interviews and health post records: 1) proportion of WDA team leaders in the kebele who have a surveillance map of their neighborhood; 2) proportion of WDA team leaders who reported surveillance data to a HEW, or the HEW had collected it from the WDA team leader during last 3 months; 3) whether or not the HEW had updated health post records with surveillance data; and 4) whether the kebele leaders used surveillance data for monitoring the utilization of maternal and newborn health services during last 3 months. All four items were given equal weights and the score was re-scaled to range between 0 and 10 and the Cronbach’s alpha of the index was 0.75 [24].

Data analysis

First, the differentials in the individual, household and kebele-level sample characteristics, administrative regions and antenatal care attendance by the respondents according to exposure to Family Conversation strategy were assessed using Pearson’s chi-squared statistics adjusted for survey design. Stata 14.2 was used for the analysis [28].

Average treatment effect of exposure to Family Conversations on selected perinatal and postnatal maternal and newborn health care practice indicators were estimated using propensity score matching (PSM). The technique imputes missing potential outcome for each participant by using an average of the outcomes of similar participants that receive the other treatment level. Similarities between exposed and unexposed respondents were based on the probabilities of being exposed, known as the propensity score. Logit models were used to estimate the propensity scores for exposure to the Family Conversation strategy with individual, household and kebele-level sample characteristics and antenatal care attendance as the predictors. One model was estimated for the sample that included all deliveries and another model for the sample that included the deliveries that were not attended by skilled health professionals. The average treatment effect was then calculated by taking the average of the difference between the observed and potential outcomes for each participant. We assessed average treatment effects of exposure to Family Conversation on the outcomes of interest using Stata’s ‘teffects psmatch’ procedure [29].

To assess the adequacy of the matching, we assessed the balance of covariates (the predictors of the logit model) across exposed and non-exposed groups after matching. Balance was considered adequate if the standardized differences of the covariates between the two groups were less than 10% after matching [30]. A minimum of one-to-one match per participant was considered adequate if the balancing property was satisfied. If a one-to-one match did not satisfy the balancing property, then the minimum number of matches per participant was incrementally increased until the balancing property was satisfied [30, 31]. The method selected an extra match per participant if propensity score was tied. Average treatment effects are presented from PSM models that satisfied the balancing property.

Results

About 17% of the sample reported that they had had a Family Conversation during their most recent pregnancy. Of those who had a Family Conversation, nearly three-quarters had had at least two sessions and one third of them had had three or more sessions. In the majority of cases the husband (80%) participated in the Family Conversation followed by the woman’s mother (27%), mother-in-law (19%), neighbor (16%), and sister (7%), as well as other people. Of those who reported having had Family Conversation, more than two-thirds were conducted by HEWs, with and without WDA members, and about a quarter of the sessions were conducted by WDA members only.

Table 2 presents the background characteristics of the study participants (women with children aged 0–11 months) stratified by exposure to Family Conversations during their most recent pregnancy. We found evidence of differences in exposure to Family Conversations by age, education, parity, religion, administrative region, WDA density of the kebele, intensity of CBDDM implementation score and number of antenatal care visits (p < 0.05). Women who were more literate, who were older, those who were living in a higher CBDDM score area, who were living in Tigray region, who followed Orthodox religion and those who had more antenatal visits, were more likely to report that they had had a Family Conversation.
Table 2

Respondents’ characteristics by exposure status to Family Conversation, full sample

Sample characteristics

Category

Family conversation during last pregnancy

Total (N = 4684)

Not-exposed (N = 3926)

Exposed (N = 758)

p-value

N

%

N

%

N

%

Age group

15–19

361

9

34

5

0.005

395

8

20–24

1068

27

190

25

 

1258

27

25–34

1857

47

404

53

 

2261

48

35–49

640

16

130

17

 

770

16

Education

Cannot read

2312

59

390

51

0.007

2702

58

Primary

899

23

194

26

 

1093

23

Higher

715

18

174

23

 

889

19

Marital status

Other

126

3

18

2

0.328

144

3

Married/in union

3800

97

740

98

 

4540

97

Number of children

1

1111

28

165

22

0.020

1276

27

2

671

17

127

17

 

799

17

3

557

14

121

16

 

679

15

4+

1586

40

344

45

 

1930

41

Religion

Orthodox

2108

54

502

66

0.016

2610

56

Protestant

821

21

85

11

 

905

19

Muslim

958

24

168

22

 

1125

24

Other

35

1

4

1

 

39

1

Wealth quintile

Lowest

785

20

142

19

0.387

927

20

Second

718

18

171

23

 

890

19

Middle

769

20

144

19

 

914

20

Fourth

817

21

138

18

 

955

20

Highest

840

21

164

22

 

1004

21

Distance to any health Facility

< 30 min

2022

52

413

55

0.367

2435

52

30 to 59 min

1225

31

243

32

 

1468

31

1+ hours

679

17

102

13

 

781

17

Region

Tigray

444

11

179

24

< 0.001

623

13

Amhara

1241

32

252

33

 

1492

32

Oromia

1052

27

123

16

 

1175

25

SNNP

1186

30

205

27

 

1390

30

HEW density (population per HEW in kebele)

2499

1747

45

311

41

0.582

2058

44

2500 to 3499

1056

27

230

30

 

1287

28

3500 to 4999

601

15

132

17

 

733

16

5000+

522

13

85

11

 

607

13

WDA density

1 per 40 households

974

25

233

31

0.039

1206

26

1 per 41–60 households

1602

41

340

45

 

1942

42

1 per 61+ households

1354

35

185

24

 

1539

33

Intensity of CBDDM

0–3

404

10

49

6

< 0.001

453

10

Implementation score

4–6

1708

44

233

31

 

1941

41

7–8

915

23

271

36

 

1185

25

9–10

895

23

206

27

 

1101

24

Number of antenatal care visits

0

499

13

12

2

< 0.001

511

11

1

188

5

9

1

 

198

4

2

353

9

44

6

 

397

9

3

934

24

174

23

 

1109

24

4+

1951

50

518

68

 

2470

53

Sample size

 

3926

100.0

758

100.0

 

4684

100.0

CBDDM Community-Based Data for Decision-Making, HEW Health extension worker, SNNP Southern Nations, Nationalities and Peoples, WDA Women’s Development Army

The average treatment effects from PSM models are provided in Table 3. The PSM models were balanced for differences in the co-variates between self-reported exposure status to the Family Conversation strategy (shown in Table 2). The standardized differences in the co-variates between intervention and comparison group respondents before and after matching for the two PSM models (one among all respondents and one among home deliveries) to show their balancing property, are given in an additional file (Additional file 1 for this paper). The average treatment effects on newborn care practices were analyzed among women whose childbirths were not attended by skilled health professionals, while the effects on institutional deliveries and early postnatal care were among all deliveries. The PSM analyses show that exposure to Family Conversations had statistically significant (p < 0.05) associations with higher institutional delivery, early postnatal care, clean cord care for the newborn and thermal care for the newborn. The treatment effect for thermal care of the newborn showed the highest effect 16 percentage-points (p = 0.001), followed by the effect for early postnatal care (12 percentage-points). The effect for immediate breastfeeding was not statistically significant (p = 0.494).
Table 3

Maternal and newborn indicators by Family Conversation exposure status and ATEs, matched sample

 

Family Conversation

# of matches(α)

Average treatment effect

Not exposed

Exposed

%-points

95% Confidence interval

p-value

% (N)

% (N)

Institutional delivery

56 (3502)

63 (688)

1–3

7

(1.5, 11.9)

0.011

Early postnatal care

8 (3502)

20 (688)

1–3

12

(7.6, 17.2)

< 0.001

Clean cord care

34 (1622)

48 (207)

7–8

9

(1.3, 16.6)

0.022

Thermal care

40 (1622)

56 (207)

7–8

16

(6.6, 24.7)

0.001

Immediate initiation of breastfeeding

66 (1622)

69 (207)

7–8

3

(−5.4, 11.2)

0.494

(α) Number of comparison area individuals matched per intervention area individual for the propensity score matching models

ATEs Average treatment effects

Discussion

In this study we found additional evidence of the positive impact of Family Conversations on the uptake of certain recommended maternal and newborn health care practices. We found a positive association with institutional delivery, early postnatal care, clean cord care and thermal care for the newborn, suggesting Family Conversations successfully overcame some of the barriers to carry out recommended practices before the intervention program was implemented. These findings are in agreement with similar studies in low and middle-income settings evaluating interventions of increased male involvement during pregnancy [3235]. The successful improvement of institutional delivery is also in line with other African studies. For example, a study in Tanzania reported that training a pregnant woman, her husband and family members on home-based life skills, through community health workers, improved the involvement of men in accompanying their wives for antenatal care and child birth; in sharing decision-making power on place of delivery and in improving their knowledge of danger signs during pregnancy, delivery and the postpartum period [33].

The effect of Family Conversation on postnatal care visits within 48 h of delivery, clean cord care practices and thermal care of the newborn were striking. These findings are in agreement with another Ethiopian study done in 51 kebeles which reported that having two to four family meetings during pregnancy increased the completeness of care elements during pregnancy, labor and the early postpartum period by 151% [34]. Another similar small scale study with a community-based collaborative approach that involved family meetings, a labor and birth notification system and community quality improvement teams reported increased early postnatal coverage, within 48 h, from 11 to 49% over a two-year intervention period [35]. That our finding is lower, could be related to low exposure time to the intervention, as the data were collected 6 months after initiation of the intervention. In addition, the Family Conversation intervention was implemented in a larger geographic area, which covered 115 woredas and 3070 kebeles and thus implementation at scale may have an influence on the effects of the intervention. It appears that implementation strength for Family Conversation was strong in Tigray region and exposure of young couples to the intervention was low when compared with older couples. It was reported elsewhere in similar study areas that exposure of young married adolescent to Health Extension Program front-line workers was low, compared with older groups [36]. The participation of grandmothers and mothers-in-law in the conversation sessions was relatively low when compared with the participation of husbands, which happened in 80% of the conversation sessions. Had there been high participation of grandmothers, there could have been stronger effects of the intervention.

Literature in other low and middle-income counties in Sub-Saharan Africa and Asia has shown that home visits by community health workers during pregnancy and the early postpartum period, and engagement with women’s groups, contributed to improvements in key behaviors such as skilled birth and newborn care practices [3741]. Our study, which measures the effect of the Family Conversation intervention on intermediate maternal and newborn health outcomes, is in agreement with studies in other low-income countries.

Ethiopian traditions prescribe that the mother and newborn stay at home during the first 40 days of a newborn’s life, to facilitate rest and recovery [42]. It is usually the task of more senior family members (such as mothers and sisters-in-law) to care for the mother and newborn at home, giving the newly delivered mother and her husband a relatively limited say in the care of the newborn. The cultural practices related to Ethiopian traditions may include immediate bathing of the newborn with cold water, discarding the colostrum, pre-lacteal feeding, applying butter or dung to the cord and restricting the movement of the mother and newborn [4345]. Our results show that although the coverage of the intervention was low with a short exposure time, in the majority of cases, husbands attended Family Conversations at their home. In most maternal and newborn health care programs, health workers meet and provide counseling to women during pregnancy. Even though their approval and decision is critical in seeking maternal and newborn health care services, husbands are not usually engaged in routine maternal and newborn health-related communication interventions [19]. Family Conversations create an opportunity to engage those household decision makers to help improve care seeking practices in maternal and newborn health care.

Studies in some Sub-Saharan African countries showed that decision-making regarding access to and use of skilled maternal health care services was strongly influenced by preferences and opinions of mothers-in-law and other family members [15, 46, 47] and community-based interventions that engaged grandmothers were associated with improved maternal and child feeding knowledge and practices [48, 49].

Limitations of the study

The characteristics of the study participants were significantly different between those who reported exposure to Family Conversation and those who did not. PSM has gained popularity to estimate intervention effects in such cases [50] . We thus applied PSM models for estimating intervention effects. The analysis of the balancing property indicated that the covariate patterns were significantly different between exposure statuses. The exposure to the intervention participants who did not have individuals with a similar covariate pattern in the non-exposed participants were excluded in the PSM analysis. In comparison, regression analysis would not have excluded such cases. Thus, we preferred to use the PSM method instead of regression methods.

There were several limitations to the study. First and foremost, selection and recall bias could have over or under-estimated the treatment effects. Treatment effects were potentially over-estimated if the study participants who were more health conscious (and therefore more likely to have better maternal and newborn health care practices) were more likely to recall exposure to Family Conversations, more likely to agree to participate in a Family Conversation, or both. However, the intervention effects could be under-estimated if the WDA or the HEWs targeted Family Conversations towards women who were less likely to have positive maternal and newborn health care practices. We applied a PSM technique to reduce the effects of selection bias. The model controlled for number of antenatal care visits and for the newborn care indicators, it also controlled for early postnatal care, which would reduce the selection bias due to health consciousness. Nonetheless, recall bias would still remain a threat to the validity of this study. Second, the intervention effects could be confounded by the influence of other maternal and newborn health interventions that were not accounted for by the PSM analysis. And third, average treatment effects estimated the effectiveness of the intervention, but did not assess population-level impact. Data collection was conducted only 6 months after initiation of the intervention, so at least half the study participants (women who had a child aged 0–11 months prior to the data collection) could not have been exposed to the intervention.

Conclusions

Family Conversations were shown to have a potentially positive effect on MNH practices. This could lead to a reduction of maternal and newborn morbidities and mortalities in Ethiopia. With many maternal and newborn care practices higher in the group of participants that had a Family Conversation, the study results suggest that, despite strongly embedded cultural and traditional practices, Family Conversations could potentially play a crucial role in changing a family’s behaviors towards better maternal and newborn care practices and should be further explored. It will be essential to evaluate how to implement this strategy logistically within Ethiopia’s health system, particularly considering the workload of HEWs and the WDA.

Abbreviations

CBDDM: 

Community-Based Data for Decision-Making

HEW: 

Health Extension Worker

L10 K: 

Last Ten Kilometers

MNH: 

Maternal and newborn health

PSM: 

Propensity score matching

WDA: 

Women’s Development Army

Declarations

Acknowledgements

We thank the Health Extension Workers and Women’s Development Army for their contribution towards implementing the intervention. We are grateful to the respondents who voluntarily participated in this study. The support of the Regional Health Bureaus of Amhara, Oromia, Southern Nations, Nationalities and Peoples’ and Tigray regions, and the L10 K implementing partners: Amhara Development Association, Bench Maji Development Association, Ethiopian Kale Hiwot Church, Fayyaa Integrated Development Organization, Illu Women and Children Integrated Development Association, Keffa Development Association, Oromia Development Association, Relief Society of Tigray, Sheka Peoples’ Development Association, Siltie Development Association, Southern Region’s Women’s Association, and Women’s Association of Tigray, who were critical for the data collection.

Funding

Funding for the study and for publication was provided by the Bill & Melinda Gates Foundation.

Availability of data and materials

The dataset generated and analyzed during the study can be are available, on reasonable request, from Ali Karim who is a co-author on this paper.

About this supplement

This article has been published as part of BMC Pregnancy and Childbirth Volume 18 Supplement 1, 2018: Community-based strategies to improve maternal and newborn health in Ethiopia. The full contents of the supplement are available online at https://0-bmcpregnancychildbirth-biomedcentral-com.brum.beds.ac.uk/articles/supplements/volume-18-supplement-1.

Authors’ contributions

DE, AMK and WB conceived and designed the study. DE, TS, NF and WB conducted the study. AMK analyzed the data. AMK, DE, TS, NF and WB contributed materials/analysis tools. DE and AMK wrote the paper. PS contributed to the editing of the paper. All authors read and approved the final version of the manuscript.

Ethics approval and consent to participate

Verbal consent was sought and documented by the interviewers. If the respondent was under 18 years old, then consent was sought from her husband, parents or guardian. As it was expected that most of the respondents could not read or write, written consent was not sought. The ethical approval was obtained from the ethical review boards of the regional health bureaus of Amhara, Oromia, Southern Nations, Nationalities and Peoples’ Region and Tigray and from the ethical review board of JSI Research & Training Institute, Inc.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
The Last Ten Kilometers Project (L10K) 2020, JSI Research & Training Institute, Inc., Bole Sub-City, Kebele 03/05, Hs #, 2111 Addis Ababa, Ethiopia
(2)
JSI Research & Training Institute, Inc., 1616 N Fort Myer Dr, 16th Floor, Arlington, VA 22209, USA
(3)
Department of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK

References

  1. Central Statistical Agency, Ethiopia. Ethiopia Demographic and Health Survey 2011. Addis Ababa: CSA & ICF International; 2011. https://dhsprogram.com/pubs/pdf/FR255/FR255.pdf. (Accessed 5 May, 2017).
  2. Central Statistical Agency (CSA) [Ethiopia]. Demographic and Health Survey 2016: Key indicators report. Addis Ababa: CSA; 2016.Google Scholar
  3. Ronsmans C, Graham WJ. Maternal mortality: who, when, where, and why. Lancet. 2006;368:1189–200.View ArticleGoogle Scholar
  4. Lawn JE, Cousens S, Zupan J. 4 million neonatal deaths: When? Where? Why? Lancet. 2005;365:891–900.Google Scholar
  5. Pattinson RS, Kerber K, Buchmann E, Friberg IK, Belizan M, Lansky S, et al. Stillbirths: how can health systems deliver for mothers and babies? Lancet. 2011;377:1610–23.View ArticleGoogle Scholar
  6. Bhutta ZA, Das JK, Bahl R, Lawn JE, Salam RA, Paul VK, et al. Can available interventions end preventable deaths in mothers, newborn babies, and stillbirths, and at what cost? Lancet. 2014;384:347–70.View ArticleGoogle Scholar
  7. Darmstadt GL, Walker N, Lawn JE, Bhutta ZA, Haws RA, Cousens S. Saving newborn lives in Asia and Africa: cost and impact of phased scale-up of interventions within the continuum of care. Health Policy Plan. 2008;23:101–17.View ArticleGoogle Scholar
  8. Lawn JE, Kerber K, Enweronu-laryea C, Massee O. Newborn survival in low resource settings — are we delivering? BJOG. 2009;116(Suppl 1):49–59.View ArticleGoogle Scholar
  9. Schiffman J, Darmstadt GL, Agarwal S, Baqui AH. Community-based intervention packages for improving perinatal health in developing countries: a review of the evidence. Semin Perinatol. 2010;34:462–76.View ArticleGoogle Scholar
  10. Salasibew MM, Filteau S, Marchant T. A qualitative study exploring newborn care behaviours after home births in rural Ethiopia: implications for adoption of essential interventions for saving newborn lives. BMC Pregnancy Childbirth. 2014;14:412.View ArticleGoogle Scholar
  11. Warren C. Care seeking for maternal health: challenges remain for poor women. Ethiopia J Health Dev. 2010;24(1):100–4.Google Scholar
  12. Yargawa J, Leonardi-Bee J. Male involvement and maternal health outcomes: systematic review and meta-analysis. J Epidemiol Community Heal. 2015;69:604–12.View ArticleGoogle Scholar
  13. Lailulo YA, Susuman AS, Blignaut R. Correlates of gender characteristics, health and empowerment of women in Ethiopia. BMC Womens Health. 2015;15:116.View ArticleGoogle Scholar
  14. Iganus R, Hill Z, Manzi F, Bee M, Amare Y, Shamba D, et al. Roles and responsibilities in newborn care in four African sites. Trop Med Int Heal. 2015;20:1258–64.View ArticleGoogle Scholar
  15. White D, Dynes M, Rubardt M, Sissoko K, Stephenson R. The influence of intra familial power on maternal health care in Mali: perspectives of women, men and mothers-in-law. Int Perspect Sex Reprod Health. 2013;39:58–68.View ArticleGoogle Scholar
  16. Tekelab T, Yadecha B, Alemu SM. Antenatal care and women’s decision making power as determinants of institutional delivery in rural area of western Ethiopia. BMC Res Notes. 2015;8:769.View ArticleGoogle Scholar
  17. Woldemicael G, Tenkorang EY. Women’s autonomy and maternal health-seeking behavior in Ethiopia. Matern Child Heal J. 2010;14:988–98.View ArticleGoogle Scholar
  18. Nigatu D, Gebremariam A, Abera M, Setegn T, Deribe K. Factors associated with women’s autonomy regarding maternal and child health care utilization in bale zone: a community based cross-sectional study. BMC Womens Health. 2014;14:79.View ArticleGoogle Scholar
  19. Biratu B, Lindstrom D. The influence of husbands’ approval on women’s use of prenatal care: results from Yirgalem and Jimma towns, south West Ethiopia. Ethiop J Heal Dev. 2007;20:84–92.Google Scholar
  20. USAID/MCHIP. Cultural Barriers to Seeking Maternal Health Care in Ethiopia: A Review of the Literature; 2012. p. 1–37.Google Scholar
  21. Amare Y. Umbilical cord care in Ethiopia and implications for behavioral change: a qualitative study. BMC Int Health Hum Rights. 2014;14:12.View ArticleGoogle Scholar
  22. Mitchell K, Mathewos B, Russell J, Bekele A, Schellenberg J. Tradition and innovation: a qualitative study of changing maternal and newborn health practices in Ethiopia. J Epidemiol Community Health. 2016;70:A28.2–A29.View ArticleGoogle Scholar
  23. Damtew ZA, Karim AM, Willey B, Tesfaye C, Fesseha Zemichael N, Yeshanew B, et al. Correlates of the Women’s Development Army strategy implementation strength with household reproductive, maternal, newborn and child healthcare practices: a cross-sectional study in four regions of Ethiopia. BMC Pregnancy Childbirth. 2018;18(Suppl 1) https://doi.org/10.1186/s12884-018-1975-y.
  24. Karim AM, Fesseha Zemichael N, Shigute T, Emaway Altaye D, Dagnew S, Solomon F, et al. Effects of a community-based data for decision-making intervention on maternal and newborn health care practices in Ethiopia: a dose-response study. BMC Pregnancy Childbirth. 2018;18(Suppl 1) https://doi.org/10.1186/s12884-018-1976-x.
  25. Wereta T, Betemariam W, Karim AM, Fesseha Zemichael N, Dagnew S, Wanboru A, et al. Effects of a participatory community quality improvement strategy on improving household and provider health care behaviors and practices: a propensity score analysis. BMC Pregnancy Childbirth. 2018;18(Suppl 1) https://doi.org/10.1186/s12884-018-1977-9.
  26. Lemeshow S, Robinson D. Surveys to measure programme coverage and impact: a review of the methodology used by the expanded programme on immunization. World Heal Stat Q. 1985;38:115–32.Google Scholar
  27. Filmer D, Pritchett L. Estimating wealth effects without expenditure data – or tears: an application to educational enrollment in states of India. Demography. 2001;38:115–32.Google Scholar
  28. StataCorp. Stata: Release 14. Statistical Software. College Station: StataCorp LP; 2015.Google Scholar
  29. StataCorp. Stata treatment-effects reference manual: potential outcomes/counterfactual outcomes, release 14. College Station: StataCorp LP; 2015b.Google Scholar
  30. Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28:3083–107.View ArticleGoogle Scholar
  31. Rosenbaum P, Rubin D. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am Stat. 1985;28:3083–107.Google Scholar
  32. Aguiar C, Jennings L. Impact of male partner antenatal accompaniment on perinatal health outcomes in developing countries: a systematic literature review. Matern Child Health J. 2015;19(9):2012–9.View ArticleGoogle Scholar
  33. August F, Pembe AB, Mpembeni R, Axemo P, August F, Pembe AB, et al. Community health workers can improve male involvement in maternal health : evidence from rural Tanzania Community health workers can improve male involvement in maternal health: evidence from rural Tanzania. 2017;9716Google Scholar
  34. Barry D, Frew AH, Mohammed H, Desta BF, Tadesse L, Aklilu Y, et al. The effect of community maternal and newborn health family meetings on type of birth attendant and completeness of maternal and newborn care received during birth and the early postnatal period in rural Ethiopia. J Midwifery Womens Health. 2014;59:S44–54.View ArticleGoogle Scholar
  35. Tesfaye S, Barry D, Gobezayehu AG, Frew AH, Stover KE, Tessema H, et al. Improving Coverage of Postnatal Care in Rural Ethiopia Using A Community-based, Collaborative Quality Improvement Approach. J. Midwifery Womens. Health [Internet]. 2014 [cited 2017 Jan 25];59:S55–64. Available from: http://0-doi.wiley.com.brum.beds.ac.uk/10.1111/jmwh.12168.View ArticleGoogle Scholar
  36. Karim AM, Tamire A, Medhanyie AA, Betemariam W. Changes in equity of maternal, newborn, and child health care practices in 115 districts of rural Ethiopia: implications for the health extension program. BMC Pregnancy Childbirth. 2015;15:238.View ArticleGoogle Scholar
  37. Gogia S, Sachdev HPS. Home-based neonatal care by community health workers for preventing mortality in neonates in low- and middle-income countries: a systematic review. Nat Publ Group. 2016;36:S55–73.Google Scholar
  38. Hanson C, Kujala S, Waiswa P, Schellenberg J. Community-based approaches for neonatal survival: meta-analyses of randomized trial data; 2017. p. 453–64.Google Scholar
  39. Kirkwood BR, Manu A, Asbroek AHA, Soremekun S, Weobong B, Gyan T, et al. Eff ect of the Newhints home-visits intervention on neonatal mortality rate and care practices in Ghana: a cluster randomised controlled trial. Lancet. 2013;381:2184–92.View ArticleGoogle Scholar
  40. Prost A, Colbourn T, Seward N, Azad K, Coomarasamy A, Copas A, et al. Women’ s groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis. Lancet. 2013;381:1736–46.View ArticleGoogle Scholar
  41. Bhutta ZA, Memon ZA, Soofi S, Salat S, Martines J. Implementing community-based perinatal care: results from a pilot study in rural Pakistan; 2008. p. 45849.Google Scholar
  42. Warren C. Care of the newborn: community perceptions and health seeking behavior. Ethiop J Heal Dev. 2005;24:110–4.Google Scholar
  43. Amare Y, Degefie T, Mulligan B. Newborn care seeking practices in central and southern Ethiopia and implications for community based programming. Ethiop J Heal Dev. 2012;27:3–7.Google Scholar
  44. Amare Y, Shamba DD, Manzi F, Bee MH, Omotara BA, Iganus RB, et al. Current Neonatal Skin Care Practices in Four African Sites. J. Trop. Pediatr. 2015;61:fmv053.View ArticleGoogle Scholar
  45. Ganle JK, Obeng B, Segbefia AY, et al. How intra-familial decision-making affects women's access to, and use of maternal healthcare services in Ghana: a qualitative study. BMC Pregnancy Childbirth. 2015;15:173.Google Scholar
  46. Ganle JK, Obeng B, Segbefia AY, Mwinyuri V, Yeboah JY, Baatiema L. How intra-familial decision-making affects women’s access to, and use of maternal healthcare services in Ghana: a qualitative study. BMC Pregnancy Childbirth. 2015;15:173.View ArticleGoogle Scholar
  47. Speizer IS, Story WT, Singh K. Factors associated with institutional delivery in Ghana: the role of decision-making autonomy and community norms. BMC Pregnancy Childbirth. 2014;14:398.View ArticleGoogle Scholar
  48. Mukuria AG, Martin SL, Egondi T, Bingham A, Thuita FM. Role of social support in improving infant feeding practices in western Kenya: a quasi-experimental study. Glob Heal Sci Pract. 2016;4:55–72.View ArticleGoogle Scholar
  49. Aubel J, Touré I, Diagne M. Senegalese grandmothers promote improved maternal and child nutrition practices: the guardians of tradition are not averse to change. Soc Sci Med Pergamon. 2004;59:945–59.View ArticleGoogle Scholar
  50. Caliendo M, Kopeinig. Some practical guidance for the implementation of propensity score matching. J Econ Survey. 2008;22(1):31–72.View ArticleGoogle Scholar

Copyright

© The Author(s). 2018

Advertisement