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Background: In Guatemala, Indigenous women have a maternal mortality ratio over twice that of non-Indigenous women. Long-standing marginalization of Indigenous groups and three decades of civil war have resulted in persistent linguistic, economic, cultural, and physical barriers to maternity care. Curamericas/Guatemala facilitated the development of three community-built, -owned, and -operated birthing centers, Casas Maternas Rurales (referred to here as Community Birthing Centers), where auxiliary nurses provided physically accessible and culturally acceptable clinical care. The objective of this paper is to assess the management of complications and the decision-making pathways of Birthing Center staff for complication management and referral. This is the sixth paper in the series of 10 articles. Birthing centers are part of the Expanded Census-based, Impact-oriented Approach, referred to as CBIO+. Methods: We undertook an explanatory, mixed-methods study on the handling of pregnancy complications at the Birthing Centers, including a chart review of pregnancy complications encountered among 1,378 women coming to a Birthing Center between 2009 and 2016 and inductively coded interviews with Birthing Center staff. Results: During the study period, 1378 women presented to a Birthing Center for delivery-related care. Of the 211 peripartum complications encountered, 42.2% were successfully resolved at a Birthing Center and 57.8% were referred to higher-level care. Only one maternal death occurred, yielding a maternal mortality ratio of 72.6 maternal deaths per 100,000 live births. The qualitative study found that staff attribute their successful management of complications to frequent, high-quality trainings, task-shifting, a network of consultative support, and a collaborative atmosphere. Conclusion: The Birthing Centers were able to resolve almost one-half of the peripartum complications and to promptly refer almost all of the others to a higher level of care, resulting in a maternal mortality ratio less than half that for all Indigenous Guatemalan women. This is the first study we are aware of that analyzes the management of obstetrical complications in such a setting. Barriers to providing high-quality maternity care, including obtaining care for complications, need to be addressed to ensure that all pregnant women in such settings have access to a level of care that is their fundamental human right. [ABSTRACT FROM AUTHOR]

Background: Equity and justice in healthcare payment form an integral part of health policy and planning. In the majority of low and middle-income countries (LMICs), healthcare inequalities are further aggravated by Out of Pocket Expenditure (OOPE). This paper examines the pattern of health equity and regional disparities in healthcare spending among Indian states by applying Andersen's behavioural model of healthcare utilization. Methods: The present study uses data from the 66th quinquennial round of Consumer Expenditure Survey, of the National Sample Survey Organization (NSSO), conducted in 2009-10 by Ministry of Statistics and Programme Implementation (MoSPI), Government of India (GoI). To measure equity and regional disparities in healthcare expenditure, states have been categorized under three heads on the basis of monthly OOPE i.e., Category A (OOPE > =INR 100); Category B (OOPE between INR 50 to 99) and Category C (OOPE < INR 50). Multiple Generalised Linear Regression Model (GLRM) has been employed to explore the effect of various socio-economic covariates on the level of OOPE. Results: The gap in the ratio of average healthcare spending between the poorest and richest households was maximum in Category A states Category B (richest/poorest = 14.60), followed by (richest/poorest 11.70) and Category C (richest/poorest 11.40). Results also indicate geographical concentration of lower level healthcare spending among Indian states (e.g., Odisha, Chhattisgarh and all the north-eastern states). Results from the multivariate analysis suggest that people residing in urban areas, having higher economic status, belonging to non-Muslim communities, non-Scheduled Tribes (STs), and non-poor households spend more on healthcare than their counterparts. Conclusions: In spite of various efforts by the government to reduce the burden of healthcare spending, widespread inequalities in healthcare expenditure are prevalent. Households with high healthcare needs (SCs/STs, and the poor) are in a more disadvantaged position in terms of spending on health care. It has also been observed that spending on healthcare was comparatively lower among backward or isolated states. No doubt, the overall social security measures should be enhanced, but at the same time, looking at the regional differences, more priority should be assigned to the disadvantaged states to reduce the burden of OOPE. It is proposed that there is need to increase government spending, especially for the disadvantaged states and population, to minimise the burden of OOPE. [ABSTRACT FROM AUTHOR]

Background: Geographical distribution of healthcare resources is an important dimension of healthcare access. Little work has been published on healthcare resource allocation patterns in China, despite public equity concerns. Methods: Using national data from 2043 counties, this paper investigates the geographic distribution of hospital beds at the county level in China. We performed Gini coefficient analysis to measure inequalities and ordinary least squares regression with fixed provincial effects and additional spatial specifications to assess key determinants. Results: We found that provinces in west China have the least equitable resource distribution. We also found that the distribution of hospital beds is highly spatially clustered. Finally, we found that both county-level savings and government revenue show a strong positive relationship with county level hospital bed density. Conclusions: We argue for more widespread use of disaggregated, geographical data in health policy-making in China to support the rational allocation of healthcare resources, thus promoting efficiency and equity. [ABSTRACT FROM AUTHOR]

Background: Health is recognized as a fundamental right in Brazil's constitution. In the absence of a clearly defined benefit packages of healthcare services that are financed under the Unified Health System (Sistema Único de Saúde, SUS), courts have become important in adjudicating coverage decisions. Empirical assessments of equity and the right to health tend to focus on simple measures of access. However, these empirical perspectives belie the significant inequalities and rights violations that arise in the case of more complex health needs such as cancer. To shed light on these issues, this paper focuses on the care pathways for breast and cervical cancer and explores access and quality issues that arise at different points along the care pathway with implications for the realization of the right to health in Brazil. Method: A mixed method approach is used. The analysis is primarily based on a quantitative analysis of national representative administrative data principally from the cervical and breast cancer information systems and the hospital cancer registry. To gain more insights into the organization of cancer care, qualitative data was collected from the state of Bahia, through document analysis, direct observation, roundtable discussions with health workers (HWs), and structured interviews with health care administrators. Results: The paper reveals that the volume of completed screening exams is well below the estimated need, and a tendency toward lower breast cancer screening rates in poorer states and for women in the lowest income brackets. Only 26% of breast cancer cases and 29% of cervical cancer cases are diagnosed at an early stage (stage 0 or I), thereby reducing the survival prospects of patients. Waiting times between confirmed diagnosis and treatment are long, despite new legislation that guarantees a maximum of 60 days. The waiting times are significantly longer for patients that follow the recommended patient pathways, and who are diagnosed outside the hospital. Conclusion: The study reveals that there are large variations between states and patients, where the poorest states and patients fare worse on key indicators. More broadly, the paper shows the importance of collecting data both on patient characteristics and health system performance and carry out detailed health system analysis for exposing, empirically, rights violations and for identifying how they can be addressed. [ABSTRACT FROM AUTHOR]