Health system redesign for maternal and newborn survival: rethinking care models to close the global equity gap
•,,,,,.
...
Abstract
Large disparities in maternal and neonatal mortality exist between low- and high-income countries. Mothers and babies continue to die at high rates in many countries despite substantial increases in facility birth. One reason for this may be the current design of health systems in most low-income countries where, unlike in high-income countries, a substantial proportion of births occur in primary care facilities that cannot offer definitive care for complications. We argue that the current inequity in care for childbirth is a global double standard that limits progress on maternal and newborn survival. We propose that health systems need to be redesigned to shift all deliveries to hospitals or other advanced care facilities to bring care in line with global best practice. Health system redesign will require investing in high-quality hospitals with excellent midwifery and obstetric care, boosting quality of primary care clinics for antenatal, postnatal, and newborn care, decreasing access and financial barriers, and mobilizing populations to demand high-quality care. Redesign is a structural reform that is contingent on political leadership that envisions a health system designed to deliver high-quality, respectful care to all women giving birth. Getting redesign right will require focused investments, local design and adaptation, and robust evaluation.
Summary box
The dominant model of childbirth care in low-income countries today in which many women give birth in primary care facilities is not supported by accumulating global evidence and needs to be revised in order to address persistently high maternal and neonatal mortality rates.
Health system redesign is a structural reform that enables all women to deliver in facilities with life-saving obstetric and newborn care; primary care clinics are reserved for high-quality antenatal and postnatal services.
Health system redesign requires political leadership and policy change, hospitals that can deliver high-quality respectful childbirth care, primary care facilities that have mastered antenatal, postnatal and well-child care, health systems that decrease barriers to access, and populations that are empowered to demand high-quality care.
A global double standard in childbirth care in which virtually all women in wealthy countries deliver in facilities with advanced obstetric and newborn care while women in low-income countries are asked to deliver in basic primary care facilities can no longer be tolerated.
Introduction
Most of the world’s maternal and newborn deaths happen in low-income countries (LIC) where, despite substantial reductions, maternal mortality is 40 times higher and newborn mortality nine times higher than in high-income settings.1 2 Furthermore, a large rise in facility birth has not produced the expected outcomes; instead, maternal and neonatal mortality rates have plateaued in many LICs.3–5 One reason may be that one-third of facility births in LICs occur in basic primary care clinics where women and newborns have little recourse to lifesaving services in the event of a complication.6 This is the result of a two-tiered model of care that directs ‘low-risk’ women to primary care clinics and ‘high-risk’ women to hospitals despite accumulating evidence that primary care clinics cannot handle complications, referral systems do not function and risk cannot be accurately predicted. Moreover, recent expansions in infrastructure and roads have substantially improved access to hospitals. Redesigning health systems so that health services are provided by the right provider in the right place and at the right time was a key recommendation for improving quality of The Lancet Global Health Commission on High Quality Health Systems. Here we examine problems with the current approach, discuss the feasibility of redesign, propose reforms to transform current health systems, and argue that it is time to change policy and redesign health systems to provide high-quality services to all women and newborns.
A global double standard in maternal and newborn care
Redesign is fundamentally a question of social justice; it seeks to restructure health systems so that all women, no matter where they live or their life circumstances, have ready access to advanced obstetric and neonatal care if a complication is to arise. This type of access is the norm in high-income countries (HIC) and middle-income countries where nearly all women deliver in facilities where they are attended by specially trained providers including physicians (eg, obstetricians, paediatricians or family physicians), nurses and midwives and have immediate access to emergency care.6 Many countries have further concentrated delivery care in high-volume hospitals because these can best maintain skills in treating complications. Studies estimate that less than 5% of women in HICs deliver at home where childbirth can be safe for select women if attended by skilled providers who can arrange rapid emergency transport to a nearby hospital.6 7 Risk stratification is used to move women with complicated pregnancies to higher level care, but even basic level 1 childbirth facilities in HICs are expected to have operating rooms, physicians trained in Caesarean section, blood banks and advanced newborn care.8
By contrast most LICs have adopted a two-tiered model of care in which high-risk women give birth in facilities with advanced obstetric and neonatal services and low-risk women give birth in primary care facilities that are expected to refer them to hospital if complications develop. No examples were found in the literature of HICs that use primary care clinics as the recommended level of care for low-risk women. As a result, one-third to one-half of facility births in the highest mortality countries occur in basic clinics without surgical or transfusion services. Most of these clinics have no physicians on staff and many have very low delivery volumes (<500 per year).6 These primary care clinics are more likely to be used by poor and remote women, worsening inequities in care.9 The end result is that increasing the number of women giving birth in facilities has not translated into the expected reductions in mortality.
We argue that this is a global double standard and that to reduce maternal and newborn mortality LIC health systems should be redesigned to bring them in line with global evidence and best practice.10 Redesign will not occur overnight, but if countries do not set course now for a future in which all women and babies have access to advanced maternal and newborn care in case of complications, then achieving equitable distribution of these services may become unreachable. Core principles of maternal and newborn health system redesign are summarised in figure 1.
Core principles of health system redesign for maternal and newborn care.
Revisiting the assumptions of the current model of care
Historically, the two-tiered obstetric care model for LICs was a well-intentioned response to high neonatal and maternal mortality in under-resourced health systems.11 It recommended that primary care clinics be used by low-risk women not only for antenatal and postnatal care, but also for childbirth. The goal was to offer essential healthcare to all people, consistent with the Alma Ata Declaration of 1978.11 Synthesising global experience and evidence from the past 20 years, we have identified five assumptions that undergird this model:
Assumption 1: risk stratification in pregnancy can be used to select women for hospital care
Though risk stratification is a core function of high-quality antenatal care, many life-threatening complications first manifest at the time of delivery and cannot be predicted.12 13 Studies from HICs suggest that approximately 30% of women categorised as low-risk still develop complications and that available population risk models perform poorly in predicting outcomes or guiding treatment at the individual level.14 15 In the Netherlands more than half of nulliparous women and one in five multiparas starting labour in midwifery practices are referred to obstetric units despite being categorised as low-risk.16 Risk stratification is even more problematic in LICs where detectable antepartum risk factors such as multiple pregnancy, breech presentation, or pre-eclampsia are frequently missed due to poor-quality antenatal care.10 Furthermore, evidence shows that poor women are more likely to receive low-quality antenatal care that fails to deliver essential screening and treatment and that even with excellent antenatal care, it is impossible to predict all intrapartum complications.12 13 17–20 Risk stratification should be used to identify complicated pregnancies that require more specialised levels of care (eg, regional hospitals), but if 30% of those deemed low-risk still develop complications then it may not be adequate for selecting women to safely deliver remote to advanced care.
Assumption 2: primary care clinics can provide good quality birth care
Basic emergency obstetric and newborn care facilities—primary care clinics with no surgical, blood transfusion or advanced neonatal services—have been deemed appropriate for low-risk birth in LICs. However, quality of maternal and neonatal care in primary care clinics has repeatedly been shown to be weak and access to delivery services in such settings is not associated with better outcomes when compared with giving birth at home.21 Furthermore, extensive efforts to improve quality of care in primary care clinics in LICs through coaching, feedback, checklists, decision support and technologies have been disappointing, with modest or null results in large-scale studies.22 23 Even if these strategies were effective, their scale-up across thousands of small facilities would be exceedingly difficult.
Assumption 3: emergency referral is an effective response to complications
To save lives when obstetric and newborn complications arise, women should receive definitive treatment within 30 min or less.24 25 The standard approach if complications arise during childbirth in primary care settings is to refer women to hospitals. However, transporting acutely ill patients is challenging even in high-income settings with fully equipped advanced life support ambulances, reliable communication and good roads. Transport is only attempted if absolutely necessary and ideally, should occur before and not during delivery.26 27 In LICs, which lack these conditions, intrapartum transport is often lethal for mother and/or baby as is immediate postnatal transport of sick neonates with compromised cardiorespiratory function.28 29 Studies show that for women who develop complications, starting labour at a primary care clinic results in loss of precious time and increases the likelihood of maternal and perinatal mortality.30–33
Assumption 4: pregnant women cannot get to hospital for delivery
While historically access to hospitals was limited in rural parts of LICs, rapid expansion in roads, transportation and health facility infrastructure has dramatically reduced travel time to hospital. A recent study in Haiti, Kenya, Malawi, Namibia, Nepal and Tanzania found that the vast majority of women now live within 2 hours of a hospital and that shifting all deliveries to hospital would reduce 2-hour access between 0.6% and 10%, depending on country.34 For many, though not all, women, hospitals are closer than 2 hours: the average travel time to hospitals in the study varied from 22 min in Haiti to 82 min in Tanzania. The finding is consistent with previous studies of access to advanced care.9 35 Moreover, LICs are rapidly urbanising, bringing advanced facilities within easier reach of the majority of women.36 This new demographic landscape is an opportunity for redesigning systems to equitably offer advanced care to all.
Assumption 5: women prefer to give birth in nearby primary care clinics
While some women value local delivery, quality of care is more important than the proximity of the clinic for many women. Women routinely bypass local facilities for childbirth in search of higher quality care even if they incur additional costs.37 Several studies have found that wealthier women were more likely to bypass, exacerbating inequities in quality.9 38 39
Benefits and risks of redesign
The primary benefit of redesign is improved health outcomes for all women and newborns.5 6 10 21 Health system redesign for childbirth services will most impact maternal deaths, intrapartum stillbirths and early newborn deaths; the latter comprise almost three-quarters of all newborn deaths, with about half of these early deaths occurring on the first day of life.40 It may also improve health system efficiency by concentrating obstetric and neonatal services and improvement efforts in fewer facilities. High delivery volumes allow providers to maintain skills for rare complications, to form multidisciplinary care teams, and also offers opportunities for continuous learning and for training new clinicians. Such environments may increase job satisfaction and motivation.9 41–44 Moving obstetric care from rural and isolated clinics to facilities in towns and cities may improve recruitment and retention of midwives and other health personnel.45–47 Finally, improving the quality of delivery care and surgical capacity may improve hospital quality more broadly.48 There are benefits for primary care too. A redesigned system reduces demands on primary care clinics, allowing them to focus on services that are their core competence including, for example, screening, prevention and management of the growing burden of non-communicable diseases.49 50 This in turn can decongest hospital outpatient clinics.
However, simply changing the location of childbirth in low-performing health systems without strengthening hospitals and implementing other reforms may have adverse consequences, especially for vulnerable populations.51 The quality and capacity of higher-level facilities in many LICs today is not adequate to produce excellent health outcomes.10 Shifting births to low-quality facilities may increase iatrogenic complications and, potentially, disrespectful care, especially where overcrowding occurs.52 It could inadvertently lead to overmedicalisation of birth and excessive Caesarean sections. Shifting births to advanced facilities may reduce access to advanced obstetric and neonatal care for women in rural and remote areas. This may lead to increasing gaps between socioeconomic groups and exacerbate the urban–rural divide in access to essential social services.53 54 Finally, weak health systems may struggle with the ‘capability trap’: donor and political pressure to rapidly appear capable, despite a lack of capacity to implement policy and programmes.55 Relabelled but not redesigned systems will not achieve improvements in maternal and neonatal health.
Implementing redesign to achieve high quality, respectful care
To maximise the above gains and guard against the risks, each country will need to develop a locally specific model for redesign, based on a thorough assessment of health needs and health system assets. While a policy of redesign may be national, given subnational variations in health systems, population density, geography and socioeconomic factors, the unit of planning and implementation may need to be more local. For example, redesign in a densely populated urban area with many facilities offering childbirth services may not need to improve transport, while the plan for a rural area that experiences seasonal isolation due to flooding may be highly dependent on better transport infrastructure. The smallest unit for service delivery redesign planning is a network of facilities including an advanced obstetric and newborn care facility (a hub) and linked primary care facilities (spokes). Successful redesign efforts will require input from a range of stakeholders, including health system and other sector managers, public and private providers and healthcare users, especially more vulnerable and remote populations. A systems thinking approach that anticipates the non-linear and system-level effects of the change will be vital to success.56 Planners will need to monitor the ‘inputs, outputs, initial, intermediate and eventual outcomes, and feedback, processes, flows, control and contexts’ of service delivery redesign.56 Careful monitoring for changes in delivery volumes, unnecessary clinical interventions (ie, Caesarean section) and socioeconomic signals of inequitable service provision will be especially important. Later we outline five key elements required for implementation of health system redesign. Proper sequencing is essential: policy change should only be implemented after hospitals, clinics and transport systems have been improved.
Strengthen lifesaving, respectful care in hospitals
For the majority of women, midwife-led care, supported by physicians with obstetric training, leads to good health outcomes, avoids over-intervention and creates clinical environments that respect women and promote their agency.57–59 In the context of redesign, both onsite and near-site midwife-led birth units can make woman-centred care possible while ensuring immediate access to emergency obstetric intervention in case of complications (see table 1). However, in order for midwifery to meet its potential as the cornerstone of a redesigned health system, current gaps in the preservice and in-service education of this cadre need urgent attention.60 61 This is especially important as facility childbirth rates rise and as evidence of disrespectful treatment of labouring women is growing.52 62–64 International guidelines suggest that midwifery education should take a human-rights approach that produces clinicians who are competent to support physiological childbirth for women of all backgrounds, to empower them through the continuum of care, to learn and use evidence and to respond quickly to complications and refer to obstetric colleagues.65
Table 1
|
Models of midwife-led delivery care with rapid access to advanced care
High hospital maternal and neonatal case fatality rates and perioperative mortality rates in LICs also point to needed improvement in surgical services and neonatal care for sick and premature newborns.66–69 Redesigned hospitals will require neonatal care units with sufficient supply of equipment, supplies, medication and human resources.70 These units should be physically separated from other patient care areas, be staffed by providers with training on the care of sick and premature neonates and be able to accommodate and engage families.71 In countries where specialists are in short supply or concentrated in urban areas, telemedicine and telementoring options will need to be explored.
Curriculum reform and twinning relationships between well-performing facilities and local facilities can raise quality standards across these disciplines and interactive, in-service training, including simulation, can be used to refresh infrequently used skills alongside coaching and mentoring.72
Boost primary care
As part of service delivery redesign, health systems will need to clearly articulate the core services best offered in primary care facilities and elevate primary care such that it is recognised as an area of expertise, not a minimalist version of hospital care. Primary care clinics will need to improve the provision of evidence-based antenatal and postpartum services, as well as maintain registries of pregnant women, work with women and couples on birth planning and coordinate care with higher-level facilities. One area for urgent improvement is detection and mitigation of maternal and fetal risk, including anaemia, malaria, HIV, multiple pregnancy and the like. Primary care, through community health worker programmes, is also best placed to follow-up with the mother–baby dyad in the community after discharge, especially in settings where short postpartum hospital stays are the norm.73 From the patient’s perspective, primary care should be the nucleus of their maternal and newborn health services.
In a redesigned health system, primary care facilities providing antenatal care should be linked to an advanced care facility to allow for sharing of care across the continuum and efficient communication. Further, advanced care facilities and their linked primary care centres could create learning collaboratives that meet regularly to review complex cases and solve problems.74
Promote equitable access to care
Women who live far from a hospital will need to travel before the onset of or during early labour. Some remote areas may require upgrading health centres to provide advanced care, new roads and bridges, more reliable transportation options and/or patient-centred maternity waiting homes.75–78 Financial and other socioeconomic barriers must also be addressed, for example, through vouchers, cash transfers and comprehensive health insurance benefits. Novel solutions, including ride-sharing and Airbnb-like or other maternity home waiting options, need to be tested (see table 2). Without fully integrating geographic access interventions, redesign could exacerbate childbirth disparities and leave the most remote and vulnerable families behind.79 Although intrapartum referral will be needed less under redesign, emergency referral systems will need to be strengthened for transport of women and newborns with severe complications to specialised facilities.
Table 2
|
Options for improving geographic access to hospitals
Ignite demand and construct accountability channels
In addition to lowering barriers to access, health system leaders will need to raise demand for higher-level maternity care by informing women and families of the rationale and specifics of redesign and by raising their expectations of delivery and newborn care.10 80 Women, families and communities will need to understand what high-quality care for childbirth means and where this care can be received. Community outreach and social marketing through radio, television, and community drama can be effective means of educating the community and increasing demand for quality. Participatory methods, including women’s groups practicing learning and action cycles, are also a good way to meaningfully engage people in improving systems.81 These efforts should include the whole family, not just women, as well as key social and religious leaders who may be influential. In many countries, providing health services close to communities is politically important, and communicating the rationale for removing delivery services from primary care clinics will be essential. Redesign should be accompanied by means for feedback and redress at all levels of the system, for example, through dedicated phone lines or text systems. More research is needed to understand how best to improve accountability and share information about quality of care with communities.82
Political leadership and policy change
Service delivery redesign is fundamentally a political choice and must be led by political leaders who believe that a double standard for women and newborns in LICs is no longer acceptable. Political commitment is central to determining whether redesign is realistic and how quickly it can be implemented. Though a daunting task, we are already seeing such commitment from some countries. In Kakamega County, in Kenya, the county government has committed to implementing redesign; this is after a feasibility assessment was conducted to determine readiness for redesign. The government is now moving into a planning phase where strategies will be developed to close the identified gaps and ensure that no woman is left behind. The government also plans to implement redesign in a phased manner to allow for adaptation as necessary. Policy review and change will be necessary in many countries where current guidelines and policies reflect the assumptions underlying the two-tiered model for LICs.
Conclusion
Service delivery redesign is not a single intervention nor is there a single model—it is a structural health system reform that if implemented correctly will save lives. Redesign will not be easy to implement nor will results be seen quickly. Successful redesign will require systems thinking, political leadership, locally specific solutions, money, skilled providers and time. This may all seem impossible, but the alternative, to allow remote and vulnerable families to receive care in facilities that cannot handle complications and are too far from advanced care to make referral possible, is simply not acceptable. Negative consequences are possible if all births are shifted to hospitals without investing in quality, access and accountability to communities. These negative externalities must be anticipated and mitigated.
Given the scale and ambition of redesign and its potential to guide future health systems, research should be a central component of all redesign efforts. Preparating for redesign includes systematic feasibility analyses that map the health system network and capacity, supply of health workers, care quality, transportation systems and community preferences and utilisation patterns. Prospective, rigorous evaluation is required to assess impact and costs, adapt programmatic interventions and promote the spread of best models. Programme data will need to be carefully disaggregated and analysed to capture the experience and outcomes of vulnerable populations. Implementation science methods that include qualitative research will be needed to capture outcomes, implementation fidelity, patient voice and unintended consequences.
Health system redesign is intentionally ambitious; nothing short of large-scale changes will close the large global equity gap in access to high-quality care. We have long known that childbirth in advanced facilities with high-quality obstetric and neonatal care is the strategy that saves the most lives, but this has been considered out-of-reach for most women in LICs. It is time to shift course and make lifesaving, respectful care the standard of care for all women.
Claudia Hanson, Peter Waiswa, Andrea Pembe, Jane Sandall, Joanna Schellenberg
Handling editor: Seye Abimbola
Twitter: @mkruk
Contributors: SR-D wrote the first draft with the support of KN. MK provided overall leadership and oversight. NAYT-D, AL and AA reviewed and revised manuscript.
Funding: Bill & Melinda Gates Foundation.
Disclaimer: The views expressed by Dr. Roder-DeWan are personal and not those of UNICEF
Competing interests: None declared.
Patient consent for publication: Not required.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement: There are no data in this work.
Acknowledgements
We would like to thank the Commissioners and Secretariat of the Lancet Global Health Commission on High Quality Health Systems for their contributions to the concepts outlined in this paper.
World Bank Group and the United Nations Population Division. Trends in maternal mortality 2000 to 2017: estimates by who, UNICEF, UNFPA. 2019; Google Scholar
Hug L, Alexander M, You D, et al. National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis. Lancet Glob Health2019; 7:e710–20. doi:10.1016/S2214-109X(19)30163-9•Google Scholar•PubMed
Alkema L, Chou D, Hogan D, et al. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the un maternal mortality estimation Inter-Agency group. Lancet2016; 387:462–74. doi:10.1016/S0140-6736(15)00838-7•Google Scholar•PubMed
Liu L, Oza S, Hogan D, et al. Global, regional, and national causes of under-5 mortality in 2000-15: an updated systematic analysis with implications for the sustainable development goals. Lancet2016; 388:3027–35. doi:10.1016/S0140-6736(16)31593-8•Google Scholar•PubMed
Bhutta ZA, Das JK, Bahl R, et al. Can available interventions end preventable deaths in mothers, newborn babies, and stillbirths, and at what cost? Lancet2014; 384:347–70. doi:10.1016/S0140-6736(14)60792-3•Google Scholar•PubMed
de Jonge A, Baron R, Westerneng M, et al. Perinatal mortality rate in the Netherlands compared to other European countries: a secondary analysis of Euro-PERISTAT data. Midwifery2013; 29:1011–8. doi:10.1016/j.midw.2013.02.005•Google Scholar•PubMed
American College of Obstetricians and Gynecologists. Obstetric care consensus. 2019;
Straneo M, Fogliati P, Azzimonti G, et al. Where do the rural poor deliver when high coverage of health facility delivery is achieved? findings from a community and hospital survey in Tanzania. PLoS One2014; 9. doi:10.1371/journal.pone.0113995•Google Scholar•PubMed
Kruk ME, Gage AD, Arsenault C, et al. High-Quality health systems in the sustainable development goals era: time for a revolution. Lancet Glob Health2018; 6:e1196–252. doi:10.1016/S2214-109X(18)30386-3•Google Scholar•PubMed
WHO. The world health report 2005: make every mother and child count. Geneva, Switzerland, WHO2005; Google Scholar
Chalumeau M, Bouvier-Colle M-H, Breart G, et al. Can clinical risk factors for late stillbirth in West Africa be detected during antenatal care or only during labour? Int J Epidemiol2002; 31:661–8. doi:10.1093/ije/31.3.661•Google Scholar•PubMed
Chalumeau M, Salanave B, Bouvier-Colle MH, et al. Risk factors for perinatal mortality in West Africa: a population-based study of 20326 pregnancies. MOMA group. Acta Paediatr2000; 89:1115–21. doi:10.1111/j.1651-2227.2000.tb03361.x•Google Scholar•PubMed
Offerhaus PM, Geerts C, de Jonge A, et al. Variation in referrals to secondary obstetrician-led care among primary midwifery care practices in the Netherlands: a nationwide cohort study. BMC Pregnancy Childbirth2015; 15. doi:10.1186/s12884-015-0471-x•Google Scholar•PubMed
Hofmeyr GJ, Mancotywa T, Silwana-Kwadjo N, et al. Audit of a new model of birth care for women with low risk pregnancies in South Africa: the primary care onsite midwife-led birth unit (OMBU). BMC Pregnancy Childbirth2014; 14. doi:10.1186/s12884-014-0417-8•Google Scholar•PubMed
Gabrysch S, Nesbitt RC, Schoeps A, et al. Does facility birth reduce maternal and perinatal mortality in Brong Ahafo, Ghana? A secondary analysis using data on 119 244 pregnancies from two cluster-randomised controlled trials. Lancet Glob Health2019; 7:e1074–87. doi:10.1016/S2214-109X(19)30165-2•Google Scholar•PubMed
Semrau KEA, Hirschhorn LR, Marx Delaney M, et al. Outcomes of a Coaching-Based who safe childbirth checklist program in India. N Engl J Med2017; 377:2313–24. doi:10.1056/NEJMoa1701075•Google Scholar•PubMed
Rowe AK, Rowe SY, Peters DH, et al. Effectiveness of strategies to improve health-care provider practices in low-income and middle-income countries: a systematic review. Lancet Glob Health2018; 6:e1163–75. doi:10.1016/S2214-109X(18)30398-X•Google Scholar•PubMed
Kamotho D, Pertet AM, Ogwayo I, et al. Decision to incision interval for emergency caesarean section and postoperative outcomes in a resource limited rural Kenyan public hospital. Int J Reprod Contracept Obstet Gynecol2018; 7:2573. doi:10.18203/2320-1770.ijrcog20182863•Google Scholar
Wilson; AK, Martel M-J. SOGC policy statement: maternal transport policy. J Obstet Gynaecol Can2005; 27:956–8. Google Scholar
Hussein J, Kanguru L, Astin M, et al. The effectiveness of emergency obstetric referral interventions in developing country settings: a systematic review. PLoS Med2012; 9. doi:10.1371/journal.pmed.1001264•Google Scholar•PubMed
Elmusharaf K, Byrne E, AbuAgla A, et al. Patterns and determinants of pathways to reach comprehensive emergency obstetric and neonatal care (CEmONC) in South Sudan: qualitative diagrammatic pathway analysis. BMC Pregnancy Childbirth2017; 17. doi:10.1186/s12884-017-1463-9•Google Scholar•PubMed
Hirose A, Borchert M, Cox J, et al. Determinants of delays in travelling to an emergency obstetric care facility in Herat, Afghanistan: an analysis of cross-sectional survey data and spatial modelling. BMC Pregnancy Childbirth2015; 15. doi:10.1186/s12884-015-0435-1•Google Scholar•PubMed
Shamba D, Tancred T, Hanson C, et al. Delayed illness recognition and multiple referrals: a qualitative study exploring care-seeking trajectories contributing to maternal and newborn illnesses and death in southern Tanzania. BMC Health Serv Res2019; 19. doi:10.1186/s12913-019-4019-z•Google Scholar•PubMed
Niyitegeka J, Nshimirimana G, Silverstein A, et al. Longer travel time to district hospital worsens neonatal outcomes: a retrospective cross-sectional study of the effect of delays in receiving emergency cesarean section in Rwanda. BMC Pregnancy Childbirth2017; 17. doi:10.1186/s12884-017-1426-1•Google Scholar•PubMed
Raj SS, Manthri S, Sahoo PK, et al. Emergency referral transport for maternal complication: lessons from the community based maternal death audits in Unnao district, Uttar Pradesh, India. Int J Health Policy Manag2015; 4:99–106. doi:10.15171/ijhpm.2015.14•Google Scholar•PubMed
Gage AD, Carnes F, Blossom J, et al. In low- and middle-income countries, is delivery in high-quality obstetric facilities geographically feasible? Health Aff2019; 38:1576–84. doi:10.1377/hlthaff.2018.05397•Google Scholar•PubMed
Kruk ME, Kujawski S, Moyer CA, et al. Next generation maternal health: external shocks and health-system innovations. The Lancet2016; 388:2296–306. doi:10.1016/S0140-6736(16)31395-2•Google Scholar
Kruk ME, Hermosilla S, Larson E, et al. Bypassing primary care clinics for childbirth: a cross-sectional study in the Pwani region, United Republic of Tanzania. Bull World Health Organ2014; 92:246–53. doi:10.2471/BLT.13.126417•Google Scholar•PubMed
Leonard KL, Mliga GR, Haile Mariam D, et al. Bypassing health centres in Tanzania: revealed preferences for quality. J Afr Econ2002; 11:441–71. doi:10.1093/jae/11.4.441•Google Scholar
Salazar M, Vora K, Costa AD, et al. Bypassing health facilities for childbirth: a multilevel study in three districts of Gujarat, India. Glob Health Action2016; 9:32178–9. doi:10.3402/gha.v9.32178•Google Scholar•PubMed
Oza S, Cousens SN, Lawn JE, et al. Estimation of daily risk of neonatal death, including the day of birth, in 186 countries in 2013: a vital-registration and modelling-based study. Lancet Glob Health2014; 2:e635–44. doi:10.1016/S2214-109X(14)70309-2•Google Scholar•PubMed
Hanson C, Ronsmans C, Penfold S, et al. Health system support for childbirth care in southern Tanzania: results from a health facility census. BMC Res Notes2013; 6. doi:10.1186/1756-0500-6-435•Google Scholar•PubMed
Kruk ME, Leslie HH, Verguet S, et al. Quality of basic maternal care functions in health facilities of five African countries: an analysis of national health system surveys. Lancet Glob Health2016; 4:e845–55. doi:10.1016/S2214-109X(16)30180-2•Google Scholar•PubMed
Choi SP-P, Cheung K, Pang SM-C, et al. Attributes of nursing work environment as predictors of registered nurses' job satisfaction and intention to leave. J Nurs Manag2013; 21:429–39. doi:10.1111/j.1365-2834.2012.01415.x•Google Scholar•PubMed
Lambrou P, Kontodimopoulos N, Niakas D, et al. Motivation and job satisfaction among medical and nursing staff in a Cyprus public General Hospital. Hum Resour Health2010; 8. doi:10.1186/1478-4491-8-26•Google Scholar•PubMed
Mbaruku GM, Larson E, Kimweri A, et al. What elements of the work environment are most responsible for health worker dissatisfaction in rural primary care clinics in Tanzania? Hum Resour Health2014; 12. doi:10.1186/1478-4491-12-38•Google Scholar•PubMed
Mock CN, Donkor P, Gawande A, et al. Essential surgery: key messages from disease control priorities, 3rd edition. Lancet2015; 385:2209–19. Google Scholar
Kruk ME, Nigenda G, Knaul FM, et al. Redesigning primary care to tackle the global epidemic of noncommunicable disease. Am J Public Health2015; 105:431–7. doi:10.2105/AJPH.2014.302392•Google Scholar•PubMed
Yorlets RR, Iverson KR, Leslie HH, et al. Latent class analysis of the social determinants of health-seeking behaviour for delivery among pregnant women in Malawi. BMJ Glob Health2019; 4. doi:10.1136/bmjgh-2018-000930•Google Scholar•PubMed
Shrime MG, Iverson KR, Yorlets R, et al. Predicted effect of regionalised delivery care on neonatal mortality, utilisation, financial risk, and patient utility in Malawi: an agent-based modelling analysis. Lancet Glob Health2019; 7:e932–9. doi:10.1016/S2214-109X(19)30170-6•Google Scholar•PubMed
Pritchett L, Woolcock M, Andrews M, et al. Looking like a state: techniques of persistent failure in state capability for implementation. J Dev Stud2013; 49:1–18. doi:10.1080/00220388.2012.709614•Google Scholar
De Savigny D, Adam T. Systems thinking for health systems strengthening. Geneva, World Health Organization2009; Google Scholar
Miller S, Abalos E, Chamillard M, et al. Beyond too little, too late and too much, too soon: a pathway towards evidence-based, respectful maternity care worldwide. Lancet2016; 388:2176–92. doi:10.1016/S0140-6736(16)31472-6•Google Scholar•PubMed
Long Q, Allanson ER, Pontre J, et al. Onsite midwife-led birth units (OMBUs) for care around the time of childbirth: a systematic review. BMJ Glob Health2016; 1. doi:10.1136/bmjgh-2016-000096•Google Scholar•PubMed
Gavine A, MacGillivray S, McConville F, et al. Pre-service and in-service education and training for maternal and newborn care providers in low- and middle-income countries: an evidence review and gap analysis. Midwifery2019; 78:104–13. doi:10.1016/j.midw.2019.08.007•Google Scholar•PubMed
Lewis TP, Roder-DeWan S, Malata A, et al. Clinical performance among recent graduates in nine low- and middle-income countries. Trop Med Int Health2019; 24:620–35. doi:10.1111/tmi.13224•Google Scholar•PubMed
Kruk ME, Kujawski S, Mbaruku G, et al. Disrespectful and abusive treatment during facility delivery in Tanzania: a facility and community survey. Health Policy Plan2018; 33:e26–33. doi:10.1093/heapol/czu079•Google Scholar•PubMed
Kujawski S, Mbaruku G, Freedman LP, et al. Association between Disrespect and abuse during childbirth and women's confidence in health facilities in Tanzania. Matern Child Health J2015; 19:2243–50. doi:10.1007/s10995-015-1743-9•Google Scholar•PubMed
World Health Organization. Strengthening quality midwifery education for universal health coverage 2030: framework for action. Geneva, World Health Organization2019; Google Scholar
International Confederation of Midwives. Essential competencies for midwifery practice: 2018. UPDATE, International Confederation of Midwives2019; Google Scholar
Sobhy S, Arroyo-Manzano D, Murugesu N, et al. Maternal and perinatal mortality and complications associated with caesarean section in low-income and middle-income countries: a systematic review and meta-analysis. Lancet2019; 393:1973–82. doi:10.1016/S0140-6736(18)32386-9•Google Scholar•PubMed
Armstrong CE, Magoma M, Ronsmans C, et al. Magnitude of maternal and neonatal mortality in Tanzania: a systematic review. Int J Gynaecol Obstet2015; 130:98–110. doi:10.1016/j.ijgo.2015.04.021•Google Scholar•PubMed
Uribe-Leitz T, Jaramillo J, Maurer L, et al. Variability in mortality following caesarean delivery, appendectomy, and groin hernia repair in low-income and middle-income countries: a systematic review and analysis of published data. Lancet Glob Health2016; 4:e165–74. doi:10.1016/S2214-109X(15)00320-4•Google Scholar•PubMed
Epiu I, Wabule A, Kambugu A, et al. Key bottlenecks to the provision of safe obstetric anaesthesia in low- income countries; a cross-sectional survey of 64 hospitals in Uganda. BMC Pregnancy Childbirth2017; 17. doi:10.1186/s12884-017-1566-3•Google Scholar•PubMed
Keene CM, Aluvaala J, Murphy GAV, et al. Developing recommendations for neonatal inpatient care service categories: reflections from the research, policy and practice interface in Kenya. BMJ Glob Health2019; 4. doi:10.1136/bmjgh-2018-001195•Google Scholar•PubMed
Burgoine K, Ikiror J, Akol S, et al. Staged implementation of a two-tiered hospital-based neonatal care package in a resource-limited setting in eastern Uganda. BMJ Glob Health2018; 3. doi:10.1136/bmjgh-2017-000586•Google Scholar•PubMed
Frenk J, Chen L, Bhutta ZA, et al. Health professionals for a new century: transforming education to strengthen health systems in an interdependent world. Lancet2010; 376:1923–58. doi:10.1016/S0140-6736(10)61854-5•Google Scholar•PubMed
Manu A, Hill Z, Ten Asbroek AH, et al. Increasing access to care for sick newborns: evidence from the Ghana Newhints cluster-randomised controlled trial. BMJ Open2016; 6. doi:10.1136/bmjopen-2015-008107•Google Scholar•PubMed
Twum-Danso NA, Dasoberi IN, Amenga-Etego IA, et al. Using quality improvement methods to test and scale up a new national policy on early post-natal care in Ghana. Health Policy Plan2014; 29:622–32. doi:10.1093/heapol/czt048•Google Scholar•PubMed
Serbanescu F. Reducing Maternal Mortality in Tanzania: Selected Pregnancy Outcomes Findings from Kigoma Region: Tanzania Ministry of Health and Social Welfare, Bloomberg Philanthropies, Fondation H&B Agerup, World Lung Foundation. U. S. Centers for Disease Control and Prevention2014; Google Scholar
Buser JM, Lori JR. Newborn outcomes and maternity waiting homes in low and middle-income countries: a scoping review. Matern Child Health J2017; 21:760–9. doi:10.1007/s10995-016-2162-2•Google Scholar•PubMed
Chibuye PS, Bazant ES, Wallon M, et al. Experiences with and expectations of maternity waiting homes in Luapula Province, Zambia: a mixed-methods, cross-sectional study with women, community groups and stakeholders. BMC Pregnancy Childbirth2018; 18. doi:10.1186/s12884-017-1649-1•Google Scholar•PubMed
Penn-Kekana L, Pereira S, Hussein J, et al. Understanding the implementation of maternity waiting homes in low- and middle-income countries: a qualitative thematic synthesis. BMC Pregnancy Childbirth2017; 17. doi:10.1186/s12884-017-1444-z•Google Scholar•PubMed
Hanson C, Gabrysch S, Mbaruku G, et al. Access to maternal health services: geographical inequalities, United Republic of Tanzania. Bull World Health Organ2017; 95:810–20. doi:10.2471/BLT.17.194126•Google Scholar•PubMed
Roder-DeWan S, Gage AD, Hirschhorn LR, et al. Expectations of healthcare quality: a cross-sectional study of Internet users in 12 low- and middle-income countries. PLoS Med2019; 16. doi:10.1371/journal.pmed.1002879•Google Scholar•PubMed
Prost A, Colbourn T, Seward N, 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. Lancet2013; 381:1736–46. doi:10.1016/S0140-6736(13)60685-6•Google Scholar•PubMed
Ketelaar NABM, Faber MJ, Flottorp S, et al. Public release of performance data in changing the behaviour of healthcare consumers, professionals or organisations. Cochrane Database Syst Rev2011; 59. doi:10.1002/14651858.CD004538.pub2•Google Scholar
Cheung NF, Mander R, Wang X, et al. Clinical outcomes of the first midwife-led normal birth unit in China: a retrospective cohort study. Midwifery2011; 27:582–7. doi:10.1016/j.midw.2010.05.012•Google Scholar•PubMed
Law YY, Lam KY. A randomized controlled trial comparing midwife-managed care and obstetrician-managed care for women assessed to be at low risk in the initial intrapartum period. J Obstet Gynaecol Res1999; 25:107–12. doi:10.1111/j.1447-0756.1999.tb01131.x•Google Scholar•PubMed
Eide BI, Nilsen ABV, Rasmussen S, et al. Births in two different delivery units in the same clinic--a prospective study of healthy primiparous women. BMC Pregnancy Childbirth2009; 9. doi:10.1186/1471-2393-9-25•Google Scholar•PubMed
Rana TG, Rajopadhyaya R, Bajracharya B, et al. Comparison of midwifery-led and consultant-led maternity care for low risk deliveries in Nepal. Health Policy Plan2003; 18:330–7. doi:10.1093/heapol/czg039•Google Scholar•PubMed
Ministry of Health CD. Gender, Elderly and Children. The National Road Map Strategic Plan to Improve Reproductive, Maternal, Newborn, Child & Adolescent Health In Tanzania (2016 - 2020): One Plan II. 2016; Google Scholar
Liljestrand J, Sambath MR. Socio-Economic improvements and health system strengthening of maternity care are contributing to maternal mortality reduction in Cambodia. Reprod Health Matters2012; 20:62–72. doi:10.1016/S0968-8080(12)39620-1•Google Scholar•PubMed
Onono MA, Wahome S, Wekesa P, et al. Effects of an expanded Uber-like transport system on access to and use of maternal and newborn health services: findings of a prospective cohort study in Homa Bay, Kenya. BMJ Glob Health2019; 4. doi:10.1136/bmjgh-2018-001254•Google Scholar•PubMed
Patel S, Koku Awoonor-Williams J, Asuru R, et al. Benefits and limitations of a community-engaged emergency referral system in a remote, impoverished setting of northern Ghana. Glob Health Sci Pract2016; 4:552–67. doi:10.9745/GHSP-D-16-00253•Google Scholar•PubMed
Tiruneh GT, Getu YN, Abdukie MA, et al. Distribution of maternity waiting homes and their correlation with perinatal mortality and direct obstetric complication rates in Ethiopia. BMC Pregnancy Childbirth2019; 19. doi:10.1186/s12884-019-2356-x•Google Scholar•PubMed
Ng M, Misra A, Diwan V, et al. An assessment of the impact of the JSY cash transfer program on maternal mortality reduction in Madhya Pradesh, India. Glob Health Action2014; 7. doi:10.3402/gha.v7.24939•Google Scholar•PubMed
Owusu-Addo E, Renzaho AMN, Smith BJ, et al. The impact of cash transfers on social determinants of health and health inequalities in sub-Saharan Africa: a systematic review. Health Policy Plan2018; 33:675–96. doi:10.1093/heapol/czy020•Google Scholar•PubMed
Bellows B, Kyobutungi C, Mutua MK, et al. Increase in facility-based deliveries associated with a maternal health voucher programme in informal settlements in Nairobi, Kenya. Health Policy Plan2013; 28:134–42. doi:10.1093/heapol/czs030•Google Scholar•PubMed
Massavon W, Wilunda C, Nannini M, et al. Effects of demand-side incentives in improving the utilisation of delivery services in Oyam district in northern Uganda: a quasi-experimental study. BMC Pregnancy Childbirth2017; 17. doi:10.1186/s12884-017-1623-y•Google Scholar•PubMed