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Background Every year, an estimated 2.6 million stillbirths occur worldwide, with up to 98% occurring in low- and middle-income countries (LMIC). There is a paucity of primary data on cause of stillbirth from LMIC, and particularly from sub-Saharan Africa to inform effective interventions. This study aimed to identify the cause of stillbirths in low- and middle-income settings and compare methods of assessment. Methods This was a prospective, observational study in 12 hospitals in Kenya, Malawi, Sierra Leone and Zimbabwe. Stillbirths (28 weeks or more) were reviewed to assign the cause of death by healthcare providers, an expert panel and by using computer-based algorithms. Agreement between the three methods was compared using Kappa (κ) analysis. Cause of stillbirth and level of agreement between the methods used to assign cause of death. Results One thousand five hundred sixty-three stillbirths were studied. The stillbirth rate (per 1000 births) was 20.3 in Malawi, 34.7 in Zimbabwe, 38.8 in Kenya and 118.1 in Sierra Leone. Half (50.7%) of all stillbirths occurred during the intrapartum period. Cause of death (range) overall varied by method of assessment and included: asphyxia (18.5–37.4%), placental disorders (8.4–15.1%), maternal hypertensive disorders (5.1–13.6%), infections (4.3–9.0%), cord problems (3.3–6.5%), and ruptured uterus due to obstructed labour (2.6–6.1%). Cause of stillbirth was unknown in 17.9–26.0% of cases. Moderate agreement was observed for cause of stillbirth as assigned by the expert panel and by hospital-based healthcare providers who conducted perinatal death review (κ = 0.69; p p Conclusions For the majority of stillbirths, an underlying likely cause of death could be determined despite limited diagnostic capacity. In these settings, more diagnostic information is, however, needed to establish a more specific cause of death for the majority of stillbirths. Existing computer-based algorithms used to assign cause of death require revision.

Introduction An estimated 2.6 million stillbirths occur worldwide each year. A standardized classification system setting out possible cause of death and contributing factors is useful to help obtain comparative data across different settings. We undertook a systematic review of stillbirth classification systems to highlight their strengths and weaknesses for practitioners and policymakers. Material and methods We conducted a systematic search and review of the literature to identify the classification systems used to aggregate information for stillbirth and perinatal deaths. Narrative synthesis was used to compare the range and depth of information required to apply the systems, and the different categories provided for cause of and factors contributing to stillbirth. Results A total of 118 documents were screened; 31 classification systems were included, of which six were designed specifically for stillbirth, 14 for perinatal death, three systems included neonatal deaths and two included infant deaths. Most (27/31) were developed in and first tested using data obtained from high‐income settings. All systems required information from clinical records. One‐third of the classification systems (11/31) included information obtained from histology or autopsy. The percentage where cause of death remained unknown ranged from 0.39% using the Nordic‐Baltic classification to 46.4% using the Keeling system. Conclusion Over time, classification systems have become more complex. The success of application is dependent on the availability of detailed clinical information and laboratory investigations. Systems that adopt a layered approach allow for classification of cause of death to a broad as well as to a more detailed level.

BACKGROUND: Surgical intervention is needed in some cases of spontaneous abortion to remove retained products of conception. Antibiotic prophylaxis may reduce the risk of pelvic infection, which is an important complication of this surgery, particularly in low-resource countries.METHODS: We conducted a double-blind, placebo-controlled, randomized trial investigating whether antibiotic prophylaxis before surgery to complete a spontaneous abortion would reduce pelvic infection among women and adolescents in low-resource countries. We randomly assigned patients to a single preoperative dose of 400 mg of oral doxycycline and 400 mg of oral metronidazole or identical placebos. The primary outcome was pelvic infection within 14 days after surgery. Pelvic infection was defined by the presence of two or more of four clinical features (purulent vaginal discharge, pyrexia, uterine tenderness, and leukocytosis) or by the presence of one of these features and the clinically identified need to administer antibiotics. The definition of pelvic infection was changed before the unblinding of the data; the original strict definition was two or more of the clinical features, without reference to the administration of antibiotics.RESULTS: We enrolled 3412 patients in Malawi, Pakistan, Tanzania, and Uganda. A total of 1705 patients were assigned to receive antibiotics and 1707 to receive placebo. The risk of pelvic infection was 4.1% (68 of 1676 pregnancies) in the antibiotics group and 5.3% (90 of 1684 pregnancies) in the placebo group (risk ratio, 0.77; 95% confidence interval [CI], 0.56 to 1.04; P = 0.09). Pelvic infection according to original strict criteria was diagnosed in 1.5% (26 of 1700 pregnancies) and 2.6% (44 of 1704 pregnancies), respectively (risk ratio, 0.60; 95% CI, 0.37 to 0.96). There were no significant between-group differences in adverse events.CONCLUSIONS: Antibiotic prophylaxis before miscarriage surgery did not result in a significantly lower risk of pelvic infection, as defined by pragmatic broad criteria, than placebo. (Funded by the Medical Research Council and others; AIMS Current Controlled Trials number, ISRCTN97143849.).

OBJECTIVE: to compare the quality of care before and after the introduction of the new Midwifery Group Practice. DESIGN: a cohort study. SETTING: the health centers (HCs) in two of the largest remote Aboriginal communities (population 2200-2600) in the Top End of the Northern Territory (NT), each located approximately 500km from Darwin. The third study site was the Royal Darwin Hospital (RDH) which provides tertiary care. METHODS: a 2004-06 retrospective cohort (n=412 maternity cases) provided baseline data. A clinical redesign of maternity services occurring from 2009 onwards focused on increasing Continuity of Carer, Communication, Choice, Collaboration and Co-ordination of Care (5Cs). Data from a 2009-11 prospective cohort (n=310 maternity cases) were collected to evaluate the service redesign. Outcome measures included indicators on the quality of care delivery, adherence to recommended antenatal guidelines and maternal and neonatal health outcomes. FINDINGS: statistically significant improvements were recorded in many areas reflecting improved access to, and quality of, care. For example: fewer women had

Youth centers, peer education, and one-off public meetings have generally been ineffective in facilitating young people’s access to sexual and reproductive health (SRH) services, changing their behaviors, or influencing social norms around adolescent SRH. Approaches that have been found to be effective when well implemented, such as comprehensive sexuality education and youth-friendly services, have tended to flounder as they have considerable implementation requirements that are seldom met. For adolescent SRH programs to be effective, we need substantial effort through coordinated and complementary approaches. Unproductive approaches should be abandoned, proven approaches should be implemented with adequate fidelity to those factors that ensure effectiveness, and new approaches should be explored, to include greater attention to prevention science, engagement of the private sector, and expanding access to a wider range of contraceptive methods that respond to adolescents’ needs.

Background: Community health workers (CHWs) can play vital roles in increasing coverage of basic health services. However, there is a need for a systematic categorisation of CHWs that will aid common understanding among policy makers, programme planners, and researchers.\ud Objective: To identify the common themes in the definitions and descriptions of CHWs that will aid delineation within this cadre and distinguish CHWs from other healthcare providers.\ud Design: A systematic review of peer-reviewed papers and grey literature.\ud Results: We identified 119 papers that provided definitions of CHWs in 25 countries across 7 regions. The review shows CHWs as paraprofessionals or lay individuals with an in-depth understanding of the community culture and language, have received standardised job-related training of a shorter duration than health professionals, and their primary goal is to provide culturally appropriate health services to the community. CHWs can be categorised into three groups by education and pre-service training. These are lay health workers (individuals with little or no formal education who undergo a few days to a few weeks of informal training), level 1 paraprofessionals (individuals with some form of secondary education and subsequent informal training), and level 2 paraprofessionals (individuals with some form of secondary education and subsequent formal training lasting a few months to more than a year). Lay health workers tend to provide basic health services as unpaid volunteers while level 1 paraprofessionals often receive an allowance and level 2 paraprofessionals tend to be salaried.\ud Conclusions: This review provides a categorisation of CHWs that may be useful for health policy formulation, programme planning, and research.

Maternal death review (MDR) is an accepted process that is implemented across Malawi and 'underlying cause of death' is assigned by healthcare providers using a standard MDR form. Mixed-methods approach. Key informant interviews with eight stakeholders involved in MDR. Secondary analysis of MDR forms for 54 maternal deaths. Comparison of assigned cause of death by healthcare providers conducting MDR at health facility level with cause assigned by researchers using the International Classification of Diseases Maternal Mortality (ICD-MM) classification. MDR teams, analysts and policymakers reported facing challenges in completing the forms, analysing and using information. The concepts of underlying (primary) and contributing (secondary) causes of death are often misunderstood. Healthcare providers using only MDR forms reported cause of death as non-obstetric complications in 39.6% and pregnancy-related infection in 11.3% of cases. For 30.2% of cases, no clear clinical cause of death was recorded. The most commonly assigned underlying cause of death using ICD-MM was obstetric haemorrhage (32.1%), non-obstetric complications (24.5%) and pregnancy-related infection (22.6%). There was poor agreement between cause(s) of maternal death assigned by healthcare providers in the field and trained researchers using the new ICD-MM classification (κ statistic; 0.219). The majority of cases could be reclassified using the ICD-MM and this provided a more specific cause of death. A more structured and user-friendly MDR form is required. Accurate classification of cause of death is important. Dissemination of, and training in the use of the new ICD-MM classification system will be helpful to healthcare providers conducting MDR in Malawi.

In the Northern Territory, 64% of Indigenous births are to remote-dwelling mothers. Delivering high-quality health care in remote areas is challenging, but service improvements, informed by participative action research, are under way. Evaluation of these initiatives requires appropriate indicators. Few of the many existing maternal and infant health indicators are specifically framed for the remote context or exemplify an Indigenous consumer perspective. We aimed to identify an indicator framework with appropriate indicators to demonstrate improvements in health outcomes, determinants of health and health system performance for remote-dwelling mothers and infants from pregnancy to first birthday. Design: We reviewed existing indicators; invited input from experts; investigated existing administrative data collections and examined findings from a record audit, ethnographic work and the evaluation of the Darwin Midwifery Group Practice. Setting: Northern Territory. Process: About 660 potentially relevant indicators were identified. We adapted the Aboriginal and Torres Strait Islander Health Performance Framework and populated the resulting framework with chosen indicators. We chose the indicators best able to monitor the impact of changes to remote service delivery by eliminating duplicated or irrelevant indicators using expert opinion, triangulating data and identifying key issues for remote maternal and infant health service improvements. Lessons learnt: We propose 31 indicators to monitor service delivery to remote-dwelling Indigenous mothers and infants. Our inclusive indicator framework covers the period from pregnancy to the first year of life and includes existing indicators, but also introduces novel ones. We also attempt to highlight an Indigenous consumer. © 2012 The Authors. Australian Journal of Rural Health

Objective: To examine the accuracy of birth counts for two remote Aboriginal communities in the Top End of the Northern Territory. Methods: We compared livebirth counts from community birth records with birth registration numbers and perinatal counts. Results: For 2004–06, for Community 1, there were 204 recorded local livebirths, 190 birth registrations and 172 livebirths in perinatal data. In Community 2, the counts were 244, 222 and 208, respectively. The mean annual number of babies, indicating service requirements for babies and their mothers, ranged from 57 to 68 (depending on source) in Community 1, and from 69 to 81 in Community 2. Most differences were for births to Aboriginal mothers. Births to ‘visitors’ accounted for 16 births in Community 1 and 30 cases in Community 2. Conclusion: Birth registration and perinatal data apparently underestimate community birth counts at a local level. Mobility of Aboriginal women seems to partly explain this. Implications: The differences in birth counts have important implications for local planning in relation to demand on housing, health and education services. The number of births is also a critical data requirement for measuring infant health status, including mortality rates, with measures of disadvantage strongly influenced by the number of births. Aboriginal mobility is not a ‘data problem’, but an integral part of Aboriginal life that needs to be catered for in administrative data collections in the Northern Territory.

Objective: There are challenges in delivering maternal and infant health (MIH) care to remote Northern Territory (NT) communities. These include fragmented care with birthing in regional hospitals resulting in cultural and geographical dislocation for Aboriginal women. Many NT initiatives are aimed at improving care. Indicators for evaluating these for remote Aboriginal mothers and infants need to be clearer. We reviewed existing indicators to inform a set of pragmatic indicators for reporting improvement in remote MIH care. Methods: Scientific databases and grey literature (organisational websites and Google Scholar) were searched using the terms ‘Aboriginal/maternal/infant/remote health/monitoring performance’. Key stakeholders identified omitted indicators sets. Relevant sets were reviewed and organised by indicator type, stage of patient journey, topic and theme. Results: Forty-two indicators sets were found. Seven focused on Aboriginal health, 23 on reproductive/maternal health, eight on child/infant health and four on other aspects, e.g. remote health. We identified more than 1,000 individual indicators. Of these, 656 were relevant for our purpose and were subsequently organised into 300 topics and 16 themes for antenatal, birth and postpartum, and infant care by indicator type. Conclusion: There are many measures for monitoring health care delivery to mothers and infants. Few are framed around remote MIH services, despite poorer health outcomes of remote mothers and infants and the specific challenges with providing care in this setting. Establishing relevant indicators is vital to support relevant data collection and the development of appropriate policy for remote Aboriginal maternal and infant care.

Objective to compare the cost-effectiveness of two models of service delivery: Midwifery Group Practice (MGP) and baseline cohort. Design a retrospective and prospective cohort study. Setting a regional hospital in Northern Territory (NT), Australia. Methods baseline cohort included all Aboriginal mothers ( n =412), and their infants ( n =416), from two remote communities who gave birth between 2004 and 2006. The MGP cohort included all Aboriginal mothers ( n =310), and their infants ( n =315), from seven communities who gave birth between 2009 and 2011. The baseline cohort mothers and infant's medical records were retrospectively audited and the MGP cohort data were prospectively collected. All the direct costs, from the Department of Health (DH) perspective, occurred from the first antenatal presentation to six weeks post partum for mothers and up to 28 days post births for infants were included for analysis. Analysis analysis was performed with SPSS 19.0 and Stata 12.1. Independent sample of t -tests and χ 2 were conducted. Findings women receiving MGP care had significantly more antenatal care, more ultrasounds, were more likely to be admitted to hospital antenatally, and had more postnatal care in town. The MGP cohort had significantly reduced average length of stay for infants admitted to Special Care Nursery (SCN). There was no significant difference between the two cohorts for major birth outcomes such as mode of birth, preterm birth rate and low birth weight. Costs savings (mean A$703) were found, although these were not statistically significant, for women and their infants receiving MGP care compared to the baseline cohort. Conclusions for remote dwelling Aboriginal women of all risk who travelled to town for birth, MGP was likely to be cost effective, and women received better care and resulting in equivalent birth outcomes compared with the baseline maternity care.

Objective: there is a significant gap in pregnancy and birth outcomes for Australian Aboriginal and Torres Strait Islander women compared with other Australian women. The provision of appropriate and high quality antenatal care is one way of reducing these disparities. The aim of this study was to assess adherence to antenatal guidelines by clinicians and identify factors affecting the quality of antenatal care delivery to remote dwelling Aboriginal women. Setting and design: a mixed method study drew data from 27 semi-structured interviews with clinicians and a retrospective cohort study of Aboriginal women from two remote communities in Northern Australia, who gave birth from 2004–2006 ( n =412). Medical records from remote health centres and the regional hospital were audited. Measurements and findings: the majority of women attended antenatal care and adherence to some routine antenatal screening guidelines was high. There was poor adherence to local guidelines for follow-up of highly prevalent problems including anaemia, smoking, urinary tract infections and sexually transmitted infections. Multiple factors influenced the quality of antenatal care. Key conclusions and implications for practice: the resourcing and organisation of health services and the beliefs, attitudes and practices of clinicians were the major factors affecting the quality of care. There is an urgent need to address the identified issues in order to achieve equity in women's access to high quality antenatal care with the aim of closing the gap in maternal and neonatal health outcomes.

Background Australia is a wealthy developed country. However, there are significant disparities in health outcomes for Aboriginal infants compared with other Australian infants. Health outcomes tend to be worse for those living in remote areas. Little is known about the health service utilisation patterns of remote dwelling Aboriginal infants. This study describes health service utilisation patterns at the primary and referral level by remote dwelling Aboriginal infants from northern Australia. Results Data on 413 infants were analysed. Following birth, one third of infants were admitted to the regional hospital neonatal nursery, primarily for preterm birth. Once home, most (98%) health service utilisation occurred at the remote primary health centre, infants presented to the centre about once a fortnight (mean 28 presentations per year, 95%CI 26.4-30.0). Half of the presentations were for new problems, most commonly for respiratory, skin and gastrointestinal symptoms. Remaining presentations were for reviews or routine health service provision. By one year of age 59% of infants were admitted to hospital at least once, the rate of hospitalisation per infant year was 1.1 (95%CI 0.9-1.2). Conclusions The hospitalisation rate is high and admissions commence early in life, visits to the remote primary health centre are frequent. Half of all presentations are for new problems. These findings have important implications for health service planning and delivery to remote dwelling Aboriginal families.

Objective: to examine the transition of care in the postnatal period from a regional hospital to a remote health service and describe the quality and safety implications for remote dwelling Aboriginal mothers and infants. Design: a retrospective cohort study of maternal health service utilisation and birth outcomes, key informant interviews with health service providers and participant observation in a hospital and two remote health centres. Data were analysed using descriptive statistics and content analysis. Setting: a maternity unit in a regional public hospital and two remote health centres within large Aboriginal communities in the Top End of the Northern Territory, Australia. Findings: poor discharge documentation, communication and co-ordination between hospital and remote health centre staff occurred. In addition, the lack of clinical governance and a specific position holding responsibility for the postnatal discharge planning process in the hospital system were identified as serious risks to the safety of the mother and infant. Conclusions and implications for practice: the quality and safety of discharge practices for remote dwelling mothers and their infants in the transition from hospital to their remote health service following birth need to be improved. The discharge process and service delivery model must be restructured to reduce the adverse effects of poor standards of care on mothers and infants.

Hospital-based studies suggest that late presentation at tertiary level is a driving factor for mortality from severe febrile illness in resource-poor contexts. Recent research into health seeking pathways in Malawi identified primary level barriers linked to service provision and misdiagnoses. In Malawi an Emergency Triage, Assessment and Treatment (ETAT) package, approved by the World Health Organisation (WHO) has been introduced at tertiary level and is being rolled out to district and primary clinics. mHealth technologies are likely to sustain quality in implementing clinical protocols, particularly when community-based health providers with limited formal training are increasingly working to offset primary level staff shortages. We aimed to develop and evaluate feasibility and acceptability of a prototype primary care level intervention to improve triage, assessment and referral of children with severe illness in Blantyre and to investigate whether this facilitates systematic and timely recognition and response to severe illness. All paediatric cases within five primary clinics in urban Blantyre were triaged and assigned Red for Emergency, Amber for Priority and Green for Queue using the mHealth triage algorithm. Phones were assigned to triage, to clinicians and the A&E department within the local tertiary, referral hospital (Queen Elizabeth Central Hospital (QECH)) for monitoring patient referrals. We conducted a rigorous evaluation using a combination of quantitative and qualitative approaches, both pre- and post and, using the phone as a monitoring tool, in parallel to the intervention. Seventy-four healthcare staff were trained across five urban primary clinics. A total of 41,358 patients were assessed using the mHealth triage algorithm from December 2012 to May 2013, of whom 1.56% were referred to QECH. Rates of concordance between triage and clinician assessment showed a good level of agreement above chance (Kappa value = 0.71). Pre- and post-Patient Journey Modelling tools identified positive changes in patient flows. Overall patient and health worker satisfaction was high with indirect impact on quality of clinical assessment amongst health workers based at intervention clinics but not directly involved in the intervention. This study has shown that mHealth technologies have the potential to improve primary level health services in resource-poor contexts with high patient numbers and overburdened health staff. Working in collaboration with the Ministry of Health the data we present will inform the development of a cluster-randomised trial to rigorously evaluate the role of mHealth in the implementation of ETAT. This will aid policy decisions around ETAT implementation at primary health level.

Background Remote dwelling Aboriginal infants from northern Australia have a high burden of disease and frequently use health services. Little is known about the quality of infant care provided by remote health services. This study describes the adherence to infant guidelines for anaemia and growth faltering by remote health staff and barriers to effective service delivery in remote settings. Methods A mixed method study drew data from 24 semi-structured interviews with clinicians working in two remote communities in northern Australia and a retrospective cohort study of Aboriginal infants from these communities, born 2004–2006 (n = 398). Medical records from remote health centres were audited. The main outcome measures were the period prevalence of infants with anaemia and growth faltering and management of these conditions according to local guidelines. Qualitative data assessed clinicians’ perspectives on barriers to effective remote health service delivery. Results Data from 398 health centre records were analysed. Sixty eight percent of infants were anaemic between six and twelve months of age and 42% had documented growth faltering by one year. Analysis of the growth data by the authors however found 86% of infants experienced growth faltering over 12 months. Clinical management and treatment completion was poor for both conditions. High staff turnover, fragmented models of care and staff poorly prepared for their role were barriers perceived by clinicians’ to impact upon the quality of service delivery. Conclusion Among Aboriginal infants in northern Australia, malnutrition and anaemia are common and occur early. Diagnosis of growth faltering and clinicians’ adherence to management guidelines for both conditions was poor. Antiquated service delivery models, organisation of staff and rapid staff turnover contributed to poor quality of care. Service redesign, education and staff stability must be a priority to redress serious deficits in quality of care provided for these infants.

Background Health services research is a well-articulated research methodology and can be a powerful vehicle to implement sustainable health service reform. This paper presents a summary of a five-year collaborative program between stakeholders and researchers that led to sustainable improvements in the maternity services for remote-dwelling Aboriginal women and their infants in the Top End (TE) of Australia. Methods A mixed-methods health services research program of work was designed, using a participatory approach. The study area consisted of two large remote Aboriginal communities in the Top End of Australia and the hospital in the regional centre (RC) that provided birth and tertiary care for these communities. The stakeholders included consumers, midwives, doctors, nurses, Aboriginal Health Workers (AHW), managers, policy makers and support staff. Data were sourced from: hospital and health centre records; perinatal data sets and costing data sets; observations of maternal and infant health service delivery and parenting styles; formal and informal interviews with providers and women and focus groups. Studies examined: indicator sets that identify best care, the impact of quality of care and remoteness on health outcomes, discrepancies in the birth counts in a range of different data sets and ethnographic studies of ‘out of hospital’ or health centre birth and parenting. A new model of maternity care was introduced by the health service aiming to improve care following the findings of our research. Some of these improvements introduced during the five-year research program of research were evaluated. Results Cost effective improvements were made to the acceptability, quality and outcomes of maternity care. However, our synthesis identified system-wide problems that still account for poor quality of infant services, specifically, unacceptable standards of infant care and parent support, no apparent relationship between volume and acuity of presentations and staff numbers with the required skills for providing care for infants, and an ‘outpatient’ model of care. Services were also characterised by absent Aboriginal leadership and inadequate coordination between remote and tertiary services that is essential to improve quality of care and reduce ‘system-introduced’ risk. Conclusion Evidence-informed redesign of maternity services and delivery of care has improved clinical effectiveness and quality for women. However, more work is needed to address substandard care provided for infants and their parents.