Skip to main content

Social capital and maternal and child health services uptake in low- and middle-income countries: mixed methods systematic review

Abstract

Background

Social capital has become an important concept in the field of public health, and is associated with improved health services uptake. This study aimed to systematically review the available literature on the role of social capital on the utilization of maternal and child health services in low- and middle-income countries (LMICs).

Methods

Mixed-methods research review and synthesis using three databases PubMed, Scopus, and Science Direct for peer-reviewed literature and Google Scholar and Google search engines for gray literature were performed. Both quantitative and qualitative studies conducted in LMICs, published in English and in grey literature were considered. Prior to inclusion in the review methodological quality was assessed using a standardized critical appraisal instrument.

Results

A total of 1,545 studies were identified, of which 13 records were included after exclusions of studies due to duplicates, reading titles, abstracts, and full-text reviews. Of these eligible studies, six studies were included for quantitative synthesis, and seven were included for qualitative synthesis. Of the six quantitative studies, five of them addressed the association between social capital and health facility delivery. Women who lived in communities with higher membership in groups that helps to form intergroup bridging ties had higher odds of using antenatal care services. Synthesized qualitative findings revealed that women received some form of emotional, informational, and instrumental support from their network members. Receiving health information from trusted people and socio-cultural factors influenced the use of maternal and child health services.

Conclusions

Social capital has a great contribution to improve maternal and child health services. Countries aiming at improving maternal and child health services can be benefited from adapting existing context-specific social networks in the community. This review identified limited available evidence examining the role of social capital on maternal and child health services uptake and future studies may be required for an in-depth understanding of how social capital could improve maternal and child health services.

Systematic review registration

PROSPERO CRD42021226923.

Peer Review reports

Background

Maternal and child mortality is declining in the last two decades but remains relatively high in the low- and middle-income countries (LMICs). About 86 % of the global maternal deaths occurred in two regions, sub-Saharan Africa (SSA) (accounted for 66 %), and southern Asia (accounted nearly 20 %) [1,2,3]. Although global neonatal mortality rate has declined by half between 1990 and 2017, over 2.5 million children are still dying in the first month of life [4]. Sustainable Developmental Goals (SDGs) have target of less than 70 maternal deaths per 100,000 live births and a reduction in under-5 mortality to 25 per 1000 live births by 2030. The ambition of these SDGs targets can be achieved by improving maternal and child health (MCH) services uptake, especially in the high-burden regions of south Asia and SSA [4].

Provisions of MCH services are essential for the early detection of mothers and infants at high risk of morbidity and mortality [5, 6]. Maternal and child health services are series of interlinked healthcare services provided during pregnancy, childbirth, and postpartum periods. These services has been advocated for improving MCH as each stage builds on the success of the previous stage [7]. For example, a systematic review conducted in east African countries showed that women who received antenatal care (ANC) services are more likely to attend postnatal care (PNC) services than those who did not received ANC [8]. Although there have been improvements in MCH services coverage globally, overall MCH indicators remained low with significant disparities between the lowest and highest wealth quintiles [9, 10]. Studies in LMICs showed that high maternal and child mortality was highly related to low level of ANC visits, health facility delivery, immunization, decision making capacity and social capital scores [8, 11,12,13,14,15,16,17]. Social capital can play a role in improving MCH services uptake and it has been positively related to physical and mental health of members in the social networks [18, 19].

Social capital has multiple definitions and concepts in the field of economics, sociology, political science, and other disciplines [20]. Recently, it has become an important concept in field of public health [21] and is defined as social relations that may provide individuals and groups with access to resources and supports in their community networks. It may include different forms such as exchange of favors, maintenance of group norms, trust towards individuals or groups, and supports offered to members of social groups [22]. A number of social capital theories were grounded so far and growing from individual and family property to features of communities and nations [23,24,25]. The theory of social capital can be explained in structural and cognitive forms. In the structural form, it focuses on the externally observable aspects of social organizations and refers to the intensity of an individual’s participation in community networks measured in objective terms [26]. The cognitive form involves subjective aspects such as norms, values, attitudes and perceptions of an individual’s social relationship and can be measured subjectively. Structural and cognitive forms of social capital are not mutually exclusive and characterized in terms of social relations as what people ‘do’ and what people ‘feel’, respectively [18, 27, 28].

Evidence on the role of social capital and MCH has grown in recent years; however, most of these studies were conducted in high-income countries, such as the Netherlands [29, 30], USA [31, 32], UK [33] and Spain [34]. However, there are some studies from LMICs, where socio-economic inequality is higher, reported that social capital has a stronger relationship and a greater effect on health [35, 36]. Our preliminary cursory searches identified additional studies conducted in India [27, 37], Tanzania [38] and Cameroon [39]. In other African countries such as Ethiopia, there is high levels of group membership, high participation in citizenship activities and high levels of cognitive social capital [40]. However, its benefit to improve women and families access to healthcare is not well studied. For example, women and family members who are involved in social networks including ‘Debo’ and ‘Iqqub’ in Ethiopia could offer great opportunities for them to receive important health information. These networks also usually established for economic and social supports to the members and families. ‘Debo’ is working together informal grouping in the community to help each other for farming, house building and construction in Ethiopia community. ‘Iqqub’ is a common financial assistance association where families, friends or other groups contribute some money together and share the money in rounds for each of the contributors in a specified time period [41].

To date, there was no systematic or narrative review that systematically synthesizes the available literature focusing on the role of social capital on MCH services use in LMICs. Therefore, this review aimed to synthesize the available quantitative and qualitative literature on the role of social capital on MCH services uptake in LMICs. The findings of the study will inform policy and decision makers to improve MCH services uptake in LMICs.

Methods

This study followed mixed methods systematic review (MMSR) approach developed by the Joanna Briggs Institute (JBI) for mixed evidence synthesis. The MMSR is an emerging systematic review approach that can bring together the findings of quantitative and qualitative evidence to provide comprehensive evidence to enhance the findings applicability for decision-makers [42]. The protocol of this review was registered with the PROSPERO database (registration number: CRD42021226923). The review also followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Supplementary file 1) [43].

Inclusion criteria

In this systematic review, the inclusion criteria were:

  • Types of studies: both quantitative and qualitative studies.

  • Publication status: both published and unpublished/grey literature.

  • Language: articles and reports written in English.

  • Population: studies reporting on women and children were considered.

  • Intervention: social capital was the intervention for our study.

  • Context: studies that were conducted in one or more of the LMICs based on the World Bank criteria.

  • Outcome reported: studies that reported on the association of social capital and MCH services were considered. In this review, MCH services comprised ANC, health facility delivery and PNC use. The phenomenon of interest for the qualitative component included experiences/views/perceptions of women on the role of social capital on MCH services uptake.

Search and search strategy

We used PubMed, Scopus and Science Direct databases to search peer-reviewed articles. In addition, Google and Google Scholar search engines were used to identify grey literature and government reports. A comprehensive search strategy was initially developed by EWM and reviewed by GAT and YA. Medical subject headings (MeSH), text words and key words in the title or abstract were considered when developing search strategy. Our search strategy combined terms related to the three domains: In the first category, the term related to ‘social capital’ such as ‘social support’, ‘social trust’, ‘social network’, ‘community network’, OR ‘social cohesion’; in the second category, ‘maternal and child health services’ terms that comprised ‘antenatal care’, ‘health facility delivery’ OR ‘postnatal care’; in the third category, country terms such as ‘LMICs’ regions were included. Lists of LMICs were found from recent World Bank classification [44]. All synonym keywords and subject headings were combined with the “OR” Boolean operator. Finally, we combined all the three categories using the Boolean operator “AND” to run in the databases (Supplementary file 2). When we search in Google Scholar and Google search engines, the first 100 hits were included. Moreover, we also reviewed websites of international organizations such as the World Health Organization and the World Bank for unpublished reports.

Study selection

Once literature searching was completed, studies were screened for eligibility by EWM and DA independently by considering the inclusion criteria after retrieved records were exported into EndNote. Any disagreements on article exclusion or inclusion were resolved by consensus. A total of 1,545 studies were identified by searching databases and other search engines to synthesize evidence about the role of social capital on uptake of MCH services in LMICs, of which, 328 records were removed due to duplication. Then 13 records were selected after reading titles, abstracts, and full texts. The reasons for exclusions after full text review included low methodological quality, and did not assess uptake of MCH services. (Fig. 1)

Fig. 1
figure 1

PRISMA flow diagram summarizing selection of studies included in the mixed evidence systematic review

Data extraction and management

Data were extracted from articles or reports using an excel sheet. The main information collected from each study contain last name of author(s), year of publication, study methods (study setting, study participants, study design, the year of data collection, sample size and data analysis), key findings and limitation acknowledged by the author(s) of the study.

Data synthesis

For the quantitative studies, we performed textual narrative synthesis after tabulating individual studies. Due to lack of uniformity on the definitions and measurement of social capital, we were not able to conduct meta-analysis. Descriptive characteristics, key findings, and limitations of individual studies were presented in tables. For the qualitative evidence, findings were synthesized using meta-aggregation approach. Initially, views/experiences of mothers on social capital were synthesized. Then pooled findings were grouped into categories defined by their similarity of meaning and then combined into one or more synthesized finding(s) that captured their meaning.

Methodological quality assessment

Both quantitative and qualitative studies selected for retrieval were assessed by two independent reviewers (EWM and DA) for methodological validity prior to inclusion in the review using standardized critical appraisal instrument. The criteria were adapted from the JBI Critical Appraisal Checklist and classified as high quality: meets ≥ 7 criteria, moderate quality: meets ≥ 4 criteria, and low quality: meets < 4 criteria [45].

Any disagreements that arise between the reviewers were resolved through discussion. The results of critical appraisal were reported in narrative form and in a table. Assessment of methodological quality, or critical appraisal, was conducted to establish the internal validity and risk of bias of studies that meet the review inclusion criteria. We checked the appropriateness of study methodology for addressing the research question and interpretation of findings in a way that is appropriate to the methodology. (Supplementary file 3)

Results

Characteristics of the studies

A total of 13 studies were included for this systematic review. Of these eligible studies, six studies [27, 37,38,39, 46, 47] were included for quantitative synthesis and seven [48,49,50,51,52] of them for qualitative synthesis. Based on the income distribution of the studies, eleven studies came from lower middle-income countries, and the rest two belongs to low income countries. In relation to geographical distribution, seven countries came from south Asian countries, and six studies appeared from SSA countries. Most of the included quantitative studies (n = 5) investigated the association between social capital and health facility delivery. Three studies reported the relationship between social capital and ANC service. (Tables 1 and 2)

Table 1 Quantitative studies included in a systematic review of the role of social capital on maternal and child health services uptake in LMICs
Table 2 Qualitative studies included in the review of the role of social capital on maternal and child health services uptake in LMICs

Quality assessment of included studies

Of the six quantitative studies, five [27, 37, 39, 46, 47] were rated as moderate quality and one [38] was rated high quality. Four out of six studies undertook systematic random sampling in selecting their study participants. The samples taken for the study were representative and outcomes were measured using reliable methods. All of the six studies assessed their outcome using objective measures through proxy questions; controlled confounding factors using multivariate and multivariable regression analysis and did not describe those participants who withdraw or refused to participant in the study.

Regarding the qualitative synthesis, six out of the seven primary qualitative studies were assessed as high quality [48, 50,51,52,53,54]. The studies lacked description of the congruency between the philosophical perspectives and research methodology used. Moreover, the failure to describe the researchers’ perspectives may influence the analysis and interpretation of findings.

Measurement of social capital

Studies included in this review reflected multiple dimensions of social capital. While some studies assessed both structural and cognitive social capital [37, 46, 47], other studies also examined bonding and bridging dimensions [27, 38]. Related to measurement tools for social capital, studies used different types of measurement tools ranging from using individual questions for selected dimensions of social capital to composite tools that measured each dimension of social capital using several questions. The variations among tools in its content may indicate that instruments for measuring social capital are at the developmental stage. Exploratory factor analysis (EFA) was used to develop and validate a tool for measuring social capital and investigate the influence of socio-contextual variables [27, 55,56,57,58,59]. In addition, confirmative factor analysis (CFA) indicated the reliability and validity of social capital scales [56, 60]. Furthermore, regression analyses including multiple hierarchical linear regression [61], multilevel models [27, 37, 62], multivariate regression [63, 64], multiple linear regression and logistic regressions [46, 65, 66] were used to examine the relationship between social capital and the outcome variables. For qualitative studies, data were analyzed using narrative summaries and thematic analysis approach [48, 50,51,52].

Role of social capital on uptake of maternal and child health services

Of six reviewed quantitative studies, five of them addressed the relationship between social capital and health facility delivery. However, the six study included in our study examined the association between social networks and maternal health services during pregnancy. A study from rural India [46] showed that women from villages with a social capital in term of a self-help group were more likely to give birth in a health facility. In contrast, other study from India [67] reported that although the presence of self-help groups in the community, there was no evidence suggesting social networks would improve health facility delivery. These discrepancies could be women used self-help group for financial purpose only and they did not access health care messages during their meetings. (Table 1)

Three of the six studies [27, 37, 47] focused on the association between social capital and ANC uptake. Women who lived in communities with higher membership in groups that help form intergroup bridging ties had higher odds of ANC use than women who lived in communities with higher intragroup bonding ties and collective efficacy [27]. Furthermore, male partners’ involvement in maternal health care during pregnancy has improved maternal health care services access and uptake. The odds of having at least one ANC was higher in women whose male partners’ involvement scores were higher than those women whose partner’s involvement scores were lower [47].

Experience of women on social capital

A total of seven qualitative studies were included in this systematic review. These studies followed phenomenology [51, 52], case study [48, 49], ethnography [50] and exploratory [53, 54] qualitative study designs. The synthesized qualitative findings of this study revealed that social support groups, receiving health information from trusted people and sociocultural factors played a significant role on the uptake of MCH services. Across network support groups, most women indicated that network members provided emotional, informational, and instrumental supports. Health extension workers (HEWs), women development army (WDA), Male development army (MDA) and religious leaders were also participated on community mobilization activities, provision of continuous support and promotion of MCH services [48,49,50,51,52,53,54]. For example, a study in Ethiopia reflected that religious leaders were crucial in providing emotional and spiritual support to their followers by committing themselves in prayer activities. This was illustrated when a female FGD participant said : “In the Orthodox Church, while the religious leaders pray, they also pray for pregnant women and for women in postpartum period…to live in agreements as our governments ordered us, the church also ordered us too and made pray for us, we also pray at home” (Female FGD participant) [48]. It was also shown that religious leaders were found to be influential in many aspects of community wellbeing including by the promotion of safe motherhood. “…Now we are advising pregnant women to give birth in health facility. We also advise them to attend health checkup during pregnancy and go directly to health facility when labor starts. We are advising people to stop harmful practice like massaging the belly of pregnant women” (Muslim religious leader) [52].

Other evidence showed that some women had numerous sources of support that include their own mothers, female relatives and friends. Female friendships were particularly important in those who lived in nuclear households or those who were far away from their own families [50]. Husbands had helped to boost their wife’s confidence and reduce anxieties during the childbirth. Regarding the community social networks, the benefit may be direct, through the young person’s own networks, or indirect, through the networks of their parent(s). Network support for women’s pregnancy-related care affects their place of childbirth. Women who had positive experiences of having health facility delivery previously and who lived in close proximity with the pregnant women tend to encourage women to consider birth at health facility. Those husbands lived in the same house further confirmed the emotional supportive roles of these network members [51]. Studies conducted in Ethiopia [48], India [49, 50], Ghana [51] and Kenya [52] demonstrated that women received some form of emotional, informational and instrumental support from their network members during pregnancy and to use health facility delivery [51].

Receiving health information from trusted people and socio-cultural factors influenced use of MCH services. A study conducted in Ethiopia [48] and Kenya [52] showed that religious and socio-cultural norms as well as gender stereotypes influenced uptake of MCH services. In Nepal, mothers-in-law played ambivalent role in the uptake of ANC. They have a positive influence when encouraging women to seek ANC, but more often a negative role in discouraging women from accessing ANC. Mothers-in-law appeared to have less influence on ANC uptake if they did not live in the same household as their daughters-in-law [53] (Tables 2 and 3).

Table 3 Synthesis of qualitative findings on the role of social capital on maternal and child health services uptake in LMICs

Discussion

This study aimed to synthesize the available literature about the role of social capital on the uptake of MCH services in LMICs. The results of this study indicated that social capital has dual roles with the favorable impact to improve MCH services uptake but also some negative consequences. Network members who have sufficient health information provide advice to the pregnant women to access ANC, avail a transport vehicle for travelling to health facility during childbirth. In contrast, some network members who lived in close proximity tended to first seek the involvement of a traditional birth attendant during women’s labor and did not make timely arrangements to transport women to a facility. These findings are in line with other studies that have found a significant effect of social capital on other health outcomes [69, 70].

Women’s social capital had great contribution on the uptake of MCH services. Women from villages with a self-help group were more likely to give birth in a health facility [46]. Likewise, the qualitative component of this review complemented that family members, particularly husbands, mother in laws, mothers and grandmothers advice women provided suggestions on how to experience safe pregnancy and health facility delivery [51].

Women who lived in communities with higher social capital had higher odds of ANC uptake [27]. Most women received support from group members to use facility-based pregnancy and delivery care [50]. Besides male partners’ involvement in MCH care has benefits on better uptake MCH services [47]. This might be that husbands who attend ANC with their partners acquire useful knowledge on how to support their wives during pregnancy. In line with this finding, a systematic review in developing countries revealed that good male involvement improved the uptake of MCH services [71].

Social capital influences uptake of MCH services through social networks between communities or community members and representatives of formal institutions such as health care providers, teachers and government officers [72]. Moreover, involvement of religious leaders, health extension workers, women developmental army leaders, and selected community members could enhance use of MCH services. Women who received health information from people they trust are more likely to access and use health services [48]. Neighborhoods with higher levels of social trust experience lower rates of health and health related problems, and have fewer signs of physical disorder, making residents of these neighborhoods feel safer [73,74,75,76].

Socio-cultural factors might hinder uptake of MCH services [52]. In some communities, women who gave birth have to stay indoors for a month up to 40 days; some members of the community cannot seek health care services at health facilities for whatever problems without first going to herbalists; only opting for a facility delivery if complications arise during the birthing process and traditional birth attendants play a critical role in the decision-making pathway for choice of place of delivery [48, 52, 53]. In line with these findings, a previous systematic review reported that influence of traditional beliefs and sociocultural norms was high during childbirth. Women interpreted their expectations through the lens of family birth stories and social norms [77].

There is no single universally accepted measurement tool for social capital that may partly attributed to the fact that the nature of social networks as social interactions and functions could be context specific. Most of the tools used to measure social capital in LMICs were originally developed in higher income countries. Cultural adaptation of the tool is an important procedure especially when the original tool is from a different cultural setting [78, 79]. However, the review identified that social capital was measured at both at individual and at community levels. Assessment of social capital at individual or community level may depend upon researchers’ interest. Community level measures are required if the researcher is aimed to examine contextual outcomes. When interpreting aggregated social capital at group level, aggregation of individual social capital measures would not resemble the social capital of the whole community [56,57,58,59, 61,62,63,64,65,66, 80,81,82,83,84,85]. Most studies included in this review assessed both structural and cognitive social capital in which it was consistent with other systematic reviews conducted in least developed countries and LMICs [78, 79, 86, 87].

Strengths and limitations of the review

The current review has its own strength and limitations. Its strength includes its ability to integrate the results of quantitative and qualitative studies. Regarding the limitations, there is no accepted definition and uniform measurement tool for social capital across the studies and thus was not possible to conduct meta-analysis. Also, some studies have no information about the validity and reliability of social capital measurement tool. Although our searching was comprehensive, it is possible that some articles were missed. Moreover, studies with statistically significant findings are more likely to be published. Due to this reason, some unpublished studies are missed that results publication bias.

Implication for public policy makers and researchers

The evidence in this review showed that social capital may contribute for improving women’s uptake of MCH services for themselves and their children. Therefore, it will be worthwhile for policy makers to design strategies on strengthening community’s social capital to enhance uptake of MCH services. It may also be necessary for available social networks and groups to be targeted for health education and promotion activities.

Conclusions

Social capital has great contribution on uptake of MCH services even though socio-cultural factors may influence its functionality. Countries aiming at improving MCH services can be benefited from adapting existing context-specific social networks in the community. This review identified limited available evidence examining the role of social capital on MCH services uptake. Measurement tools for social capital have no uniformity across studies and most of them were conducted using a cross-sectional design. Hence, future studies may be required for in-depth understanding of how social capital could improve MCH services.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ANC:

Antenatal Care

FGDs:

Focus Group Discussions

IDI:

In-Depth Interviews

JBI:

Joanna Briggs Institute

LMICs:

Low- and Middle-Income Countries

MCH:

Maternal and Child Health Services

PNC:

Postnatal Care

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

SDGs:

Sustainable developmental goals

References

  1. World Health Organization: Trends in maternal mortality 2000 to 2017: estimates by WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division. 2019.

  2. Tessema GA, Laurence CO, Melaku YA, Misganaw A, Woldie SA, Hiruye A, Amare AT, Lakew Y, Zeleke BM, Deribew A: Trends and causes of maternal mortality in Ethiopia during 1990–2013: findings from the Global Burden of Diseases study 2013. BMC public health 2017, 17(1):160.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Wang H, Abbas KM, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, Abolhassani H, Abreu LG, Abrigo MR: Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. The Lancet 2020, 396(10258):1160–1203.

    Article  Google Scholar 

  4. Hug L, Alexander M, You D, Alkema L, for Child UI-aG: National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis. The Lancet Global Health 2019, 7(6):e710-e720.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Berkat S: The influence of maternal and child health services on neonatal death of low birth weight neonates in Aceh province. Malaysian Journal of Public Health Medicine 2019, 19(1):15–24.

    Article  Google Scholar 

  6. Firoz T, McCaw-Binns A, Filippi V, Magee LA, Costa ML, Cecatti JG, Barreix M, Adanu R, Chou D, Say L: A framework for healthcare interventions to address maternal morbidity. International Journal of Gynecology & Obstetrics 2018, 141:61–68.

    Article  Google Scholar 

  7. Kikuchi K, Okawa S, Zamawe COF, Shibanuma A, Nanishi K, Iwamoto A, Saw YM, Jimba M: Effectiveness of Continuum of Care—Linking Pre-Pregnancy Care and Pregnancy Care to Improve Neonatal and Perinatal Mortality: A Systematic Review and Meta-Analysis. PloS one 2016, 11(10):e0164965.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Geremew AB, Boke MM, Yismaw AE: The Effect of Antenatal Care Service Utilization on Postnatal Care Service Utilization: A Systematic Review and Meta-analysis Study. Journal of Pregnancy 2020, 2020.

  9. Ruducha J, Mann C, Singh NS, Gemebo TD, Tessema NS, Baschieri A, Friberg I, Zerfu TA, Yassin M, Franca GA: How Ethiopia achieved Millennium Development Goal 4 through multisectoral interventions: a Countdown to 2015 case study. The Lancet Global Health 2017, 5(11):e1142-e1151.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Memirie ST, Verguet S, Norheim OF, Levin C, Johansson KA: Inequalities in utilization of maternal and child health services in Ethiopia: the role of primary health care. BMC health services research 2016, 16(1):51.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Banke-Thomas OE, Banke-Thomas AO, Ameh CA: Factors influencing utilisation of maternal health services by adolescent mothers in Low-and middle-income countries: a systematic review. BMC pregnancy and childbirth 2017, 17(1):65.

    Article  PubMed  PubMed Central  Google Scholar 

  12. De Silva MJ, Harpham T: Maternal social capital and child nutritional status in four developing countries. Health & place 2007, 13(2):341–355.

    Article  Google Scholar 

  13. Fantahun M, Berhane Y, Wall S, Byass P, Högberg U: Women’s involvement in household decision-making and strengthening social capital—crucial factors for child survival in Ethiopia. Acta paediatrica 2007, 96(4):582–589.

    Article  PubMed  Google Scholar 

  14. Tekelab T, Chojenta C, Smith R, Loxton D: Factors affecting utilization of antenatal care in Ethiopia: A systematic review and meta-analysis. PloS one 2019, 14(4):e0214848.

  15. Ketemaw A, Tareke M, Dellie E, Sitotaw G, Deressa Y, Tadesse G, Debalkie D, Ewunetu M, Alemu Y, Debebe D: Factors associated with institutional delivery in Ethiopia: a cross sectional study. BMC health services research 2020, 20(1):1–6.

    Article  Google Scholar 

  16. Oduse S, Zewotir T, North D: The impact of antenatal care on under-five mortality in Ethiopia: a difference‐in‐differences analysis. BMC pregnancy and childbirth 2021, 21(1):1–9.

    Article  Google Scholar 

  17. Berhe R, Nigusie A: Magnitude of home delivery and associated factors among child bearing age mothers in Sherkole District, Benishangul Gumuz regional state-Western-Ethiopia. BMC public health 2020, 20:1–7.

    Article  CAS  Google Scholar 

  18. Ferlander S: The importance of different forms of social capital for health. Acta sociologica 2007, 50(2):115–128.

    Article  Google Scholar 

  19. Chandran A, Benning L, Musci RJ, Wilson TE, Milam J, Adedimeji A, Parish C, Adimora AA, Cocohoba J, Cohen MH: The longitudinal association between social support on HIV medication adherence and healthcare utilization in the Women’s Interagency HIV Study. AIDS and Behavior 2019, 23(8):2014–2024.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Engbers TA, Thompson MF, Slaper TF: Theory and measurement in social capital research. Social Indicators Research 2017, 132(2):537–558.

    Article  Google Scholar 

  21. Ichiro Kawachi, Bruce P Kennedy, EdD KL, Deborah Prothrow-Stith: Social Capital, Income Inequality, and Mortality. 1997.

  22. Flores EC, Fuhr DC, Bayer AM, Lescano AG, Thorogood N, Simms V: Mental health impact of social capital interventions: a systematic review. Social psychiatry and psychiatric epidemiology 2018, 53(2):107–119.

    Article  PubMed  Google Scholar 

  23. Putnam R: The prosperous community: Social capital and public life. The american prospect 1993, 13(Spring, Vol. 4.).

  24. Coleman JS: Social capital in the creation of human capital. American journal of sociology 1988, 94:S95-S120.

    Article  Google Scholar 

  25. Bourdieu P: The levels of social capital. Handbook of theory of research for the sociology of education 1985:241–258.

  26. Eriksson M, Ng N: Changes in access to structural social capital and its influence on self-rated health over time for middle-aged men and women: a longitudinal study from northern Sweden. Social Science & Medicine 2015, 130:250–258.

    Article  Google Scholar 

  27. Story WT: Social capital and the utilization of maternal and child health services in India: a multilevel analysis. PloS one 2014, 28:73–84.

    Google Scholar 

  28. Grootaert C, Narayan D, Jones VN, Woolcock M: Measuring social capital: An integrated questionnaire: The World Bank; 2004.

  29. Schölmerich VL, Erdem Ö, Borsboom G, Ghorashi H, Groenewegen P, Steegers EA, Kawachi I, Denktaş S: The association of neighborhood social capital and ethnic (minority) density with pregnancy outcomes in the Netherlands. PloS one 2014, 9(5):e95873.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. van Scheppingen AR, de Vroome EM, Ten Have KC, Bos EH, Zwetsloot GI, van Mechelen W: Inducing a health-promoting change process within an organization: The effectiveness of a large-scale intervention on social capital, openness, and autonomous motivation toward health. Journal of occupational and environmental medicine 2014, 56(11):1128–1136.

    Article  PubMed  Google Scholar 

  31. Im H, Rosenberg R: Building social capital through a peer-led community health workshop: A pilot with the Bhutanese refugee community. Journal of Community Health 2016, 41(3):509–517.

    Article  PubMed  Google Scholar 

  32. Nkansah-Amankra S, Dhawain A, Hussey JR, Luchok KJ: Maternal social support and neighborhood income inequality as predictors of low birth weight and preterm birth outcome disparities: analysis of South Carolina Pregnancy Risk Assessment and Monitoring System survey, 2000–2003. Maternal and child health journal 2010, 14(5):774–785.

  33. Feldman PJ, Dunkel-Schetter C, Sandman CA, Wadhwa PD: Maternal social support predicts birth weight and fetal growth in human pregnancy. Psychosomatic medicine 2000, 62(5):715–725.

    Article  CAS  PubMed  Google Scholar 

  34. Coll-Planas L, del Valle Gomez G, Bonilla P, Masat T, Puig T, Monteserin R: Promoting social capital to alleviate loneliness and improve health among older people in S pain. Health & social care in the community 2017, 25(1):145–157.

    Article  Google Scholar 

  35. Kawachi I, Subramanian SV, Kim D: Social capital and health. In: Social capital and health. edn.: Springer; 2008: 1–26.

  36. Islam MK, Merlo J, Kawachi I, Lindström M, Gerdtham U-G: Social capital and health: does egalitarianism matter? A literature review. International journal for equity in health 2006, 5(1):1–28.

    Article  Google Scholar 

  37. Singh PK, Kumar C, Rai RK, Singh L: Factors associated with maternal healthcare services utilization in nine high focus states in India: a multilevel analysis based on 14 385 communities in 292 districts. Health policy and planning 2014, 29(5):542–559.

    Article  PubMed  Google Scholar 

  38. Semali IA, Leyna GH, Mmbaga EJ, Tengia-Kessy A: Social capital as a determinant of pregnant mother’s place of delivery: experience from Kongwa District in Central Tanzania. PloS one 2015, 10(10):e0138887.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. McTavish S, Moore S: On est ensemble: social capital and maternal health care use in rural Cameroon. Globalization and health 2015, 11(1):33.

    Article  PubMed  PubMed Central  Google Scholar 

  40. De Silva MJ, Huttly SR, Harpham T, Kenward MG: Social capital and mental health: a comparative analysis of four low income countries. Social science & medicine 2007, 64(1):5–20.

    Article  Google Scholar 

  41. Abebe A, Kebede W, Alemie A: Roles of Ego Social Networks for Community Development in Southern Ethiopia: The Case of Tullo Community. The International Journal of Community and Social Development 2019, 1(4):332–349.

    Article  Google Scholar 

  42. Aromataris E, Munn Z: JBI manual for evidence synthesis. JBI; 2020. In.; 2020.

  43. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS med 2009, 6(7):e1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Fantom N, Serajuddin U: The World Bank’s classification of countries by income: The World Bank; 2016.

  45. The Joanna Briggs Institute: Joanna Briggs Institute Reviewers’ Manual 2014 Edition. Adelaide: The Joanna Briggs Institute; 2014.

    Google Scholar 

  46. Saha S, Annear PL, Pathak S: The effect of Self-Help Groups on access to maternal health services: evidence from rural India. International journal for equity in health 2013, 12:36.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Mohammed BH, Johnston JM, Vackova D, Hassen SM, Yi H: The role of male partner in utilization of maternal health care services in Ethiopia: a community-based couple study. BMC pregnancy and childbirth 2019, 19(1):28.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Mamo A, Morankar S, Asfaw S, Bergen N, Kulkarni MA, Abebe L, Labonté R, Birhanu Z, Abera M: How do community health actors explain their roles? Exploring the roles of community health actors in promoting maternal health services in rural Ethiopia. BMC health services research 2019, 19(1):724.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Papp SA, Gogoi A, Campbell C: Improving maternal health through social accountability: a case study from Orissa, India. Global public health 2013, 8(4):449–464.

    Article  PubMed  Google Scholar 

  50. ‘My mother… my sisters… and my friends’: sources of maternal support in the perinatal period in urban India. Midwifery 2014, 30(1):130–137.

  51. Cofie LE, Barrington C, Sodzi-Tettey S, Ennett S, Maman S, Singh K: A qualitative study of women’s network social support and facility delivery in rural Ghana. PloS one 2018, 13(11):e0206429.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  52. Mochache V, Wanje G, Nyagah L, Lakhani A, El-Busaidy H, Temmerman M, Gichangi P: Religious, socio-cultural norms and gender stereotypes influence uptake and utilization of maternal health services among the Digo community in Kwale, Kenya: a qualitative study Reproductive health 2020, 17(1):71.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Simkhada B, Porter MA, Van Teijlingen ER: The role of mothers-in-law in antenatal care decision-making in Nepal: a qualitative study. BMC pregnancy and childbirth 2010, 10(1):1–10.

    Article  Google Scholar 

  54. Sapkota S, Kobayashi T, Takase M: Husbands’ experiences of supporting their wives during childbirth in Nepal. Midwifery 2012, 28(1):45–51.

    Article  PubMed  Google Scholar 

  55. Agampodi TC, Agampodi SB, Glozier N, Lelwala T, Sirisena K, Siribaddana S: Development and validation of the Social Capital Assessment Tool in pregnancy for Maternal Health in Low and middle income countries (LSCAT-MH). BMJ open 2019, 9(7):e027781.

    Article  PubMed  PubMed Central  Google Scholar 

  56. De Silva MJ, Harpham T, Tuan T, Bartolini R, Penny ME, Huttly SR: Psychometric and cognitive validation of a social capital measurement tool in Peru and Vietnam. Social science & medicine 2006, 62(4):941–953.

    Article  Google Scholar 

  57. Mitchell AD, Bossert TJ: Measuring dimensions of social capital: Evidence from surveys in poor communities in Nicaragua. Social Science & Medicine 2007, 64(1):50–63.

    Article  Google Scholar 

  58. Looman WS, Farrag S: Psychometric properties and cross-cultural equivalence of the Arabic Social Capital Scale: Instrument development study. International journal of nursing studies 2009, 46(1):45–54.

    Article  Google Scholar 

  59. Moscardino U, Scrimin S, Capello F, Altoè G: Social support, sense of community, collectivistic values, and depressive symptoms in adolescent survivors of the 2004 Beslan terrorist attack. Social Science & Medicine 2010, 70(1):27–34.

  60. Wang P, Chen X, Gong J, Jacques-Tiura AJ: Reliability and validity of the personal social capital scale 16 and personal social capital scale 8: Two short instruments for survey studies. Social Indicators Research 2014, 119(2):1133–1148.

  61. Thuy NTM, Berry HL: Social capital and mental health among mothers in Vietnam who have children with disabilities. Global health action 2013, 6(1):18886.

    Article  Google Scholar 

  62. Friche A, Diez-Roux A, César C, Xavier C, Proietti F, Caiaffa W: Assessing the psychometric and ecometric properties of neighborhood scales in developing countries: Saúde em Beagá Study, Belo Horizonte, Brazil, 2008–2009. Journal of urban health 2013, 90(2).

  63. Borges CM, Campos ACV, Vargas AD, Ferreira EF, Kawachi I: Social capital and self-rated health among adolescents in Brazil: an exploratory study. BMC research notes 2010, 3(1):1–6.

    Article  Google Scholar 

  64. Pronyk PM, Harpham T, Morison LA, Hargreaves JR, Kim JC, Phetla G, Watts CH, Porter JD: Is social capital associated with HIV risk in rural South Africa? Social science & medicine 2008, 66(9):1999–2010.

    Article  Google Scholar 

  65. Harpham T, De Silva MJ, Tuan T: Maternal social capital and child health in Vietnam. Journal of Epidemiology & Community Health 2006, 60(10):865–871.

    Article  Google Scholar 

  66. Brune NE, Bossert T: Building social capital in post-conflict communities: Evidence from Nicaragua. Social Science & Medicine 2009, 68(5):885–893.

    Article  Google Scholar 

  67. Singh R, Neogi SB, Hazra A, Irani L, Ruducha J, Ahmad D, Kumar S, Mann N, Mavalankar D: Utilization of maternal health services and its determinants: a cross-sectional study among women in rural Uttar Pradesh, India. Journal of Health, Population and Nutrition 2019, 38(1):13.

    Article  Google Scholar 

  68. Sheikh MR, Ali SZ, Hussain A, Shehzadi R, Afzal MM: Measurement of social capital as an indicator of community-based initiatives (CBI) in the Islamic Republic of Iran. Journal of health organization and management 2009.

  69. Portes A: Social Capital: Its Origins and Applications in Modern Sociology. nnual Review of Sociology 1998, 24(1):1–24.

  70. Villalonga-Olives E, Kawachi I: The dark side of social capital: A systematic review of the negative health effects of social capital. ocial Science & Medicine 2017, 194:105–127.

  71. Yargawa J, Leonardi-Bee J: Male involvement and maternal health outcomes: systematic review and meta-analysis. J Epidemiol Community Health 2015, 69(6):604–612.

    Article  PubMed  Google Scholar 

  72. Szreter S, Woolcock M: Health by association? Social capital, social theory, and the political economy of public health International Journal of Epidemiology 2004, 33:650–667.

    Article  PubMed  Google Scholar 

  73. Flynn K, Richmond TS, Branas CC, Wiebe DJ: Neighbourhood social trust and youth perceptions of safety during daily activities. Injury Prevention 2018, 24(6):445–447.

    Article  PubMed  Google Scholar 

  74. Hipp JR, Wickes R: Violence in urban neighborhoods: A longitudinal study of collective efficacy and violent crime. Journal of Quantitative Criminology 2017, 33(4):783–808.

    Article  Google Scholar 

  75. Sampson RJ: The neighborhood context of well-being. Perspectives in biology and medicine 2003, 46(3):S53-S64.

    Article  Google Scholar 

  76. Legewie J: Living on the edge: neighborhood boundaries and the spatial dynamics of violent crime. Demography 2018, 55(5):1957–1977.

    Article  PubMed  Google Scholar 

  77. Downe S, Finlayson K, Oladapo O, Bonet M, Gülmezoglu AM: What matters to women during childbirth: a systematic qualitative review. PloS one 2018, 13(4):e0194906.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  78. Agampodi TC, Agampodi SB, Glozier N, Siribaddana S: Measurement of social capital in relation to health in low and middle income countries (LMIC): a systematic review. Social science & medicine 2015, 128:95–104.

    Article  Google Scholar 

  79. Story WT: Social capital and health in the least developed countries: a critical review of the literature and implications for a future research agenda. Global public health 2013, 8(9):983–999.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Harpham T, Grant E, Thomas E: Measuring social capital within health surveys: key issues. Health policy and planning 2002, 17(1):106–111.

    Article  PubMed  Google Scholar 

  81. Ashrafi E, Montazeri A, Mousavi M, Vaez-Mahdavi M, Asadi-Lari M: Influence of sociodemographic features and general health on social capital: Findings from a large population-based survey in Tehran, Iran (Urban-HEART). Public health 2012, 126(9):796–803.

    Article  CAS  PubMed  Google Scholar 

  82. Hurtado D, Kawachi I, Sudarsky J: Social capital and self-rated health in Colombia: the good, the bad and the ugly. Social Science & Medicine 2011, 72(4):584–590.

    Article  Google Scholar 

  83. de Souza EM, Grundy E: Intergenerational interaction, social capital and health: results from a randomised controlled trial in Brazil. Social science & medicine 2007, 65(7):1397–1409.

    Article  Google Scholar 

  84. Wang H, Schlesinger M, Wang H, Hsiao WC: The flip-side of social capital: the distinctive influences of trust and mistrust on health in rural China. Social Science & Medicine 2009, 68(1):133–142.

    Article  Google Scholar 

  85. Modie-Moroka T: Does level of social capital predict perceived health in a community?—a study of adult residents of low-income areas of Francistown, Botswana. Journal of health, population, and nutrition 2009, 27(4):462.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Ehsan AM, De Silva MJ: Social capital and common mental disorder: a systematic review. J Epidemiol Community Health 2015, 69(10):1021–1028.

    Article  PubMed  Google Scholar 

  87. Villalonga-Olives E, Wind T, Kawachi I: Social capital interventions in public health: a systematic review. Social Science & Medicine 2018, 212:203–218.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We would like to appreciate the contributions of staffs in the School of Public Health, Bahir Dar University, for the necessary assistance in this research.

Funding

GAT was supported with funding from the Australia National Health and Medical Research Council Investigator Grant #1195716. However, the funder has no role in the design, analysis, and interpretation of the study findings.

Author information

Authors and Affiliations

Authors

Contributions

EWM conducted the searches of the literature, screened titles, abstracts and full text of articles, extracted and interpreted data and wrote the first draft of the manuscript. DA conduced secondary screening of titles, abstracts and full text of articles, checked data extracted by EWM, and assisted with writing of the manuscript. GDA, YA and GAT assisted with writing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Endalkachew Worku Mengesha.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mengesha, E.W., Alene, G.D., Amare, D. et al. Social capital and maternal and child health services uptake in low- and middle-income countries: mixed methods systematic review. BMC Health Serv Res 21, 1142 (2021). https://doi.org/10.1186/s12913-021-07129-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-021-07129-1

Keywords