How Public Health Organizational Structure Affected the Response to the COVID-19 Pandemic: A Case Study in British Columbia, Canada.

Objectives: This study sought to examine how public health organizational structures affected decision-making and provides recommendations to strengthen future public health crisis preparedness. Methods: The Institutions-Politics-Organizations-Governance (IPOG) framework and an organizational lens was applied to the analysis of COVID-19 governance within British Columbia (BC). Organizational charts detailing the structure of public health systems were compiled using available data and supplemented with data collected through key informant interviews. Results: In response to the COVID-19 pandemic, BC initiated several changes in its public health organization. BC's COVID-19 response attempted to utilize a centralized command structure within a decentralized health system. Four key themes were identified pertaining to the 1) locus of decision-making and action; 2) role of emergency structures; 3) challenges in organizational structure; and 4) balance between authority and participation in decision-making. Conclusion: The organizational adaptations enabled a substantively effective response. However, our findings also illustrate deficiencies in organizational structure in the current public health system. Two recommendations for consideration are: 1) a more formal vertical organizational structure; and 2) developing new mechanisms to link health and general emergency response structures.

Relationship between donor-derived cell-free DNA and tissue-based rejection-related transcripts in heart transplantation.

BACKGROUND: Endomyocardial biopsy (EMB)-based traditional microscopy remains the gold standard for the detection of cardiac allograft rejection, despite its limitation of inherent subjectivity leading to inter-reader variability. Alternative techniques now exist to surveil for allograft injury and classify rejection. Donor-derived cell-free DNA (dd-cfDNA) testing is now a validated blood-based assay used to surveil for allograft injury. The molecular microscope diagnostic system (MMDx) utilizes intragraft rejection-associated transcripts (RATs) to classify allograft rejection and identify injury. The use of dd-cfDNA and MMDx together provides objective molecular insight into allograft injury and rejection. The aim of this study was to measure the diagnostic agreement between dd-cfDNA and MMDx and assess the relationship between dd-cfDNA and MMDx-derived RATs, which may provide further insight into the pathophysiology of allograft rejection and injury. METHODS: This is a retrospective observational study of 156 EMB evaluated with traditional microscopy and MMDx. All samples were paired with dd-cfDNA from peripheral blood before EMB (up to 9 days). Diagnostic agreement between traditional histopathology, MMDx, and dd-cfDNA (threshold of 0.20%) was compared for assessment of allograft injury. In addition, the relationship between dd-cfDNA and individual RAT expression levels from MMDx was evaluated. RESULTS: MMDx characterized allograft tissue as no rejection (62.8%), antibody-mediated rejection (ABMR) (26.9%), T-cell-mediated rejection (TCMR) (5.8%), and mixed ABMR/TCMR (4.5%). For the diagnosis of any type of rejection (TCMR, ABMR, and mixed rejection), there was substantial agreement between MMDx and dd-cfDNA (76.3% agreement). All transcript clusters (group of gene sets designated by MMDx) and individual transcripts considered abnormal from MMDx had significantly elevated dd-cfDNA. In addition, a positive correlation between dd-cfDNA levels and certain MMDx-derived RATs was observed. Tissue transcript clusters were correlated with dd-cfDNA scores, including DSAST, GRIT, HT1, QCMAT, and S4. For individual transcripts, tissue ROBO4 was significantly correlated with dd-cfDNA in both nonrejection and rejection as assessed by MMDx. CONCLUSIONS: Collectively, we have shown substantial diagnostic agreement between dd-cfDNA and MMDx. Furthermore, based on the findings presented, we postulate a common pathway between the release of dd-cfDNA and expression of ROBO4 (a vascular endothelial-specific gene that stabilizes the vasculature) in the setting of antibody-mediated rejection, which may provide a mechanistic rationale for observed elevations in dd-cfDNA in AMR, compared to acute cellular rejection.

Relationship between blood and tissue-based rejection-related transcripts in heart transplantation.

BACKGROUND: The purpose of the study is to investigate the relationship between blood and tissue-derived rejection-related transcripts from blood gene expression profiling (GEP) and molecular microscope in the setting of allograft rejection in heart transplant. METHODS: All heart transplant patients from August 2021 to May 2022 with both circulating blood GEP (AlloMap) and endomyocardial biopsy with molecular microscope diagnostic system (MMDx) within 4 weeks were included (N = 173 samples). We obtained individual blood GEP-based messenger RNA transcript expression levels of the 11 target genes from CareDx. Student's t-test was performed to compare blood GEP transcript expression levels between no rejection and rejection as assessed by MMDx. A Scatter plot with Spearman correlation analysis was performed to compare the relationship between transcript expression levels from AlloMap and MMDx, with and without allograft rejection. RESULTS: There were 52 samples (30.1%) with antibody-mediated rejection (ABMR) and 15 samples (8.7%) with T-cell-mediated rejection (TCMR), as assessed by MMDx. Expression of one of the blood ITGA4 (Integrin alpha 4) expression level was elevated in ABMR, compared to no ABMR (4,607.5 vs 4,217.5; p = 0.019). Most tissue rejection-associated transcript expression levels were elevated in ABMR, and tissue ROBO4 expression correlated with the blood ITGA4 expression with moderate or greater effect size in all samples (Spearman's R = 0.31; p < 0.001). There was also a positive correlation between blood ITGA4 and tissue ROBO4 expression in samples without ABMR (Spearman's R = 0.33; p < 0.001), but no correlation between blood ITGA4 and tissue ROBO4 expression in samples with ABMR (Spearman's R = 0.009; p = 0.513). CONCLUSIONS: Circulating blood ITGA4 expression is elevated in antibody-mediated rejection (AMR) and correlates with myocardial expression of ROBO4. The knowledge of individual transcript expression levels in blood and in tissue may provide insights into various disease processes in heart transplant patients. Taken together, the results of our study reveal an overlap between 2 objective post-heart transplant rejection surveillance methods, identify potential novel markers for ABMR, and reveal the need for a deeper understanding of molecular mechanisms underlying allograft rejection.

How have researchers defined institutions, politics, organizations and governance in research related to epidemic and pandemic response? A scoping review to map current concepts.

In recent years, the literature on public health interventions and health outcomes in the context of epidemic and pandemic response has grown immensely. However, relatively few of these studies have situated their findings within the institutional, political, organizational and governmental (IPOG) context in which interventions and outcomes exist. This conceptual mapping scoping study synthesized the published literature on the impact of IPOG factors on epidemic and pandemic response and critically examined definitions and uses of the terms IPOG in this literature. This research involved a comprehensive search of four databases across the social, health and biomedical sciences as well as multi-level eligibility screening conducted by two independent reviewers. Data on the temporal, geographic and topical range of studies were extracted, then descriptive statistics were calculated to summarize these data. Hybrid inductive and deductive qualitative analysis of the full-text articles was conducted to critically analyse the definitions and uses of these terms in the literature. The searches retrieved 4918 distinct articles; 65 met the inclusion criteria and were thus reviewed. These articles were published from 2004 to 2022, were mostly written about COVID-19 (61.5%) and most frequently engaged with the concept of governance (36.9%) in relation to epidemic and pandemic response. Emergent themes related to the variable use of the investigated terms, the significant increase in relevant literature published amidst the COVID-19 pandemic, as well as a lack of consistent definitions used across all four terms: institutions, politics, organizations and governance. This study revealed opportunities for health systems researchers to further engage in interdisciplinary work with fields such as law and political science, to become more forthright in defining factors that shape responses to epidemics and pandemics and to develop greater consistency in using these IPOG terms in order to lessen confusion among a rapidly growing body of literature.

Equitable Distribution of Poor Quality of Care? Equity in Quality of Reproductive Health Services in Ethiopia.

The Ethiopian health system faces persistent inequities in health-care utilization and outcomes, despite continued efforts to expand health service coverage. There is little evidence in the literature describing the status of equity in the quality of healthcare. This paper aims to understand the disparities in quality of antenatal care (ANC) and family planning (FP) among the poor and non-poor communities. We used the 2016 Ethiopia Demographic and Health Survey (DHS) data to compute a Multidimensional Poverty Index (MPI), and the 2014 Service Provision Assessment (SPA) data to assess quality of ANC and FP services-defined as the level of adherence to World Health Organization (WHO) clinical and service guidelines. We merged the two datasets using geographical coordinates, and aggregated service users into facility catchment area clusters using a 2-km radius for urban and 10-km radius for rural facilities. We computed ANC and FP quality and MPI indices for each facility and assigned these to catchment areas. Using the international cutoff point for deprivation (MPI = 33.3%), we evaluated whether the quality of ANC and FP services varies by poor and non-poor catchment areas. We found that most of catchment areas (75.7%) were deprived. While the overall quality of ANC and FP services are low (33% and 34% respectively), we found little variation in the distribution of the quality of these services between poor and non-poor areas, urban and rural settings, or regionally. The short-term focus needs to be on improving the overall quality of services rather than on its distribution.

Investigating the influence of institutions, politics, organizations, and governance on the COVID-19 response in British Columbia, Canada: a jurisdictional case study protocol.

BACKGROUND: Research on public health responses to COVID-19 globally has largely focused on understanding the virus' epidemiology, identifying interventions to curb transmission, and assessing the impact of interventions on outcomes. Only recently have studies begun to situate their findings within the institutional, political, or organizational contexts of jurisdictions. Within British Columbia (BC), Canada, the COVID-19 response in early 2020 was deemed highly coordinated and effective overall; however, little is understood as to how these upstream factors influenced policy decisions. METHODS: Using a conceptual framework we developed, we are conducting a multidisciplinary jurisdictional case study to explore the influence of institutional (I), political (P), organizational (O), and governance (G) factors on BC's COVID-19 public health response in 2020-2021. A document review (e.g. policy documents, media reports) is being used to (1) characterize relevant institutional and political factors in BC, (2) identify key policy decisions in BC's epidemic progression, (3) create an organizational map of BC's public health system structure, and (4) identify key informants for interviews. Quantitative data (e.g. COVID-19 case, hospitalization, death counts) from publicly accessible sources will be used to construct BC's epidemic curve. Key informant interviews (n = 15-20) will explore governance processes in the COVID-19 response and triangulate data from prior procedures. Qualitative data will be analysed using a hybrid deductive-inductive coding approach and framework analysis. By integrating all of the data streams, our aim is to explore decision-making processes, identify how IPOG factors influenced policy decisions, and underscore implications for decision-making in public health crises in the BC context and elsewhere. Knowledge users within the jurisdiction will be consulted to construct recommendations for future planning and preparedness. DISCUSSION: As the COVID-19 pandemic evolves, governments have initiated retrospective examinations of their policies to identify lessons learned. Our conceptual framework articulates how interrelations between IPOG contextual factors might be applied to such analysis. Through this jurisdictional case study, we aim to contribute findings to strengthen governmental responses and improve preparedness for future health crises. This protocol can be adapted to and applied in other jurisdictions, across subnational jurisdictions, and internationally.

A practical measure of health facility efficiency: an innovation in the application of routine health information to determine health worker productivity in Ethiopia.

BACKGROUND: A simple indicator of technical efficiency, such as productivity of health workers, measured using routine health facility data, can be a practical approach that can inform initiatives to improve efficiency in low- and middle-income countries. This paper presents a proof of concept of using routine information from primary healthcare (PHC) facilities to measure health workers' productivity and its application in three regions of Ethiopia. METHODS: In four steps, we constructed a productivity measure of the health workforce of Health Centers (HCs) and demonstrated its practical application: (1) developing an analytical dataset using secondary data from health management information systems (HMIS) and human resource information system (HRIS); (2) principal component analysis and factor analysis to estimate a summary measure of output from five indicators (annual service volume of outpatient visits, family planning, first antenatal care visits, facility-based deliveries by skilled birth attendants, and children [< 1 year] with three pentavalent vaccines); (3) calculating a productivity score by combining the summary measure of outputs and the total number of health workers (input), and (4) implementing regression models to identify the determinant of productivity and ranking HCs based on their adjusted productivity score. RESULTS: We developed an analytical dataset of 1128 HCs; however, significant missing values and outliers were reported in the data. The principal component and factor scores developed from the five output measures were highly consistent (correlation coefficient = 0.98). We considered the factor score as the summary measure of outputs for estimating productivity. A very weak association was observed between the summary measure of output and the total number of staff. The result also highlighted a large variability in productivity across similar health facilities in Ethiopia, represented by the significant dispersion in summary measure of output occurring at similar levels of the health workers. CONCLUSIONS: We successfully demonstrated the analytical steps to estimate health worker productivity and its practical application using HMIS and HRIS. The methodology presented in this study can be readily applied in low- and middle-income countries using widely available data-such as DHIS2-that will allow further explorations to understand the causes of technical inefficiencies in the health system.

Patient volume and quality of primary care in Ethiopia: findings from the routine health information system and the 2014 Service Provision Assessment survey.

BACKGROUND: Several studies have reported inadequate levels of quality of care in the Ethiopian health system. Facility characteristics associated with better quality remain unclear. Understanding associations between patient volumes and quality of care could help organize service delivery and potentially improve patient outcomes. METHODS: Using data from the routine health management information system (HMIS) and the 2014 Ethiopian Service Provision Assessment survey + we assessed associations between daily total outpatient volumes and quality of services. Quality of care at the facility level was estimated as the average of five measures of provider knowledge (clinical vignettes on malaria and tuberculosis) and competence (observations of family planning, antenatal care and sick child care consultations). We used linear regression models adjusted for several facility-level confounders and region fixed effects with log-transformed patient volume fitted as a linear spline. We repeated analyses for the association between volume of antenatal care visits and quality. RESULTS: Our analysis included 424 facilities including 270 health centers, 45 primary hospitals and 109 general hospitals in Ethiopia. Quality was low across all facilities ranging from only 18 to 56% with a mean score of 38%. Outpatient volume varied from less than one patient per day to 581. We found a small but statistically significant association between volume and quality which appeared non-linear, with an inverted U-shape. Among facilities seeing less than 90.6 outpatients per day, quality increased with greater patient volumes. Among facilities seeing 90.6 or more outpatients per day, quality decreased with greater patient volumes. We found a similar association between volume and quality of antenatal care visits. CONCLUSIONS: Health care utilization and quality must be improved throughout the health system in Ethiopia. Our results are suggestive of a potential U-shape association between volume and quality of primary care services. Understanding the links between volume of patients and quality of care may provide insights for organizing service delivery in Ethiopia and similar contexts.

The role of health system context in the design and implementation of performance-based financing: evidence from Cote d'Ivoire.

Low quality of care is a significant problem for health systems in low-income and middle-income countries (LMICs). Policymakers are increasingly interested in using performance-based financing (PBF), a system-wide provider payment reform, conditioned on both quantity and quality of performance, to improve quality of care. The health system context influences both the design and the implementation of these programmes and thus their effectiveness. This study analyses how context has influenced the design and implementation of PBF in improving the quality of primary care in one particular setting, Cote d'Ivoire, a lower-middle income country with some of the poorest health outcomes in the world. Based on literature, an analytical framework was developed identifying five pathways through which financial incentives can influence the quality of primary care: earmarking, conditioning, provider behaviour, community involvement and management. Guided by this framework, semistructured interviews were conducted with policymakers and providers to diagnose the context and to assess the links between financing and quality of care at the primary care level. PBF in Cote d'Ivoire was found to have increased data availability and quality, facility-wide and disease-specific inputs, provider motivation and management practices in contracted facilities, but had limited success in improving process and outcome measures of quality, as well as community involvement and the provision of non-incentivised services. These limitations were attributable to a centralised health system structure constraining the decision space of health providers; financing and governance challenges across the health sector; and shortcomings with regard to the design of the PBF quality checklist and incentive structures in Cote d'Ivoire. In order to improve the quality of primary care, health sector reforms such as PBF should incorporate the organisational and service delivery context more broadly into their design and implementation, as is the case in other countries.

Pitfalls of relying on genetic testing only to diagnose inherited metabolic disorders in non-western populations - 5 cases of pyruvate dehydrogenase deficiency from South Africa.

Pyruvate dehydrogenase complex (PDHC) deficiencies are a group of mainly infantile onset disorders stemming from defects in pyruvate catabolism. They are characterised by severe lactic acidosis and progressive neurodegeneration.Although the PDHA1 gene is implicated in most cases of PDHC deficiency worldwide, no pathogenic variants have been reported in South African patients to date, despite availability of PDHA1 sequencing in the state diagnostic setting. METHODS: DNA from five patients with low to absent PDHC activity in fibroblasts were subjected to PDHC deficiency gene panel analysis. Included in the panel were: PDHA1, PDHB, DLAT, DLD, PDHX, BOLA3, GLRX5, IBA57, LIAS, LIPT1, LIPT2, NFU1, PDP1, PDP2, SLC19A2, SLC19A3, SLC25A19, SLC25A26, TPK1 and FBXL4. RESULTS: No pathogenic variants were identified in 4 out of 5 cases investigated. A homozygous frame-shift mutation was detected in the BOLA3 gene in one patient, supporting a diagnosis of multiple mitochondrial dysfunction syndrome type 2. DISCUSSION: A single, novel, homozygous BOLA3 frame-shift mutation was detected in a black South African child with severe neurodegenerative disease and very low to absent PDHC enzyme activity. This finding of a homozygous mutation in a patient from a non-consanguineous background may indicate a need for further investigation in clinically similar cases as well as heterozygous carrier rates in unaffected individuals from the same ethnic background.The paucity of identifiable mutations in 4 out of 5 South African patients with confirmed PDHC deficiency highlights the dangers in relying on Western population based genetic panels for diagnosing rare metabolic disease in genetically understudied populations.

Recurrent costs in primary health care in Ethiopia: facility and disease specific unit costs and their components in government primary hospitals and health centers.

BACKGROUND: Continued investment, especially from domestic financing, is needed for Ethiopia to achieve universal health coverage and a sustainable health system over time. Understanding costs of providing health services will assist the government to mobilize adequate resources for health, and to understand future costs of changes in quality of care, service provision scope, and potential decline in external resources. This study assessed costs per unit of service output, "unit costs", for government primary hospitals and health centers, and disease-specific services within each facility. METHODS: Quantitative and qualitative data were collected from 25 primary hospitals and 47 health centers across eight of the eleven regions of Ethiopia for 2013/14, and 2014/15 and 2015/16 but only for primary hospitals, and supplemented by other related health and financial institutions records. A top-down costing approach was used to estimate unit costs for each facility by department - inpatient, outpatient, maternal and child health, and delivery. A mixed-method approach was used for the disease-specific unit costs exempt from fees. RESULTS: Health center median unit cost was 146 Ethiopian birr (ETB) (17 PPP$, 2012), the Delivery department had the highest median unit cost (647 ETB; 76 PPP$, 2012) and Outpatient department (OPD) had the lowest (124 ETB; 14 PPP$, 2012). Primary hospital median unit cost was 339 ETB (40 PPP$, 2012), with Inpatient department having the highest median unit cost (1288 ETB; 151 PPP$, 2012), while OPD was the lowest (252 ETB; 29 PPP$, 2012). Drugs and pharmaceutical supplies accounted for most of the costs for both facilities. Among the exempted services offered, tuberculosis and antiretroviral treatment are the costliest with median unit costs from 1091 to 1536 ETB (128-180 PPP$, 2012), with drugs and supplies accounting for almost 90% of the costs. CONCLUSIONS: High unit costs of service provision could be indicative of underutilization of the primary health care system, coupled with inefficiencies associated with organization and delivery of health services. Data from this study are being used to assess efficiency and productivity among primary care facilities, facilitate premium setting for health insurance, and improve budgeting and allocating health resources for a more sustainable and effective primary health care system.

Towards universal health coverage: governance and organisational change in ministries of health.

Countries have implemented a range of reforms in health financing and provision to advance towards universal health coverage (UHC). These reforms often change the role of a ministry of health (MOH) in traditionally unitary national health service systems. An exploratory comparative case study of four upper middle-income and high-income countries provides insights into how these reforms in pursuit of UHC are likely to affect health governance and the organisational functioning of an MOH accustomed to controlling the financing and delivery of healthcare. These reforms often do not result in simple transfers of responsibility from MOH to other actors in the health system. The resulting configuration of responsibilities and organisational changes within a health system is specific to the capacities within the health system and the sociopolitical context. Formal prescriptions that accompany reform proposals often do not fully represent what actually takes place. An MOH may retain considerable influence in financing and delivery even when reforms appear to formally shift those powers to other organisational units. MOHs have limited ability to independently achieve fundamental system restructuring in health systems that are strongly subject to public sector rules and policies. Our comparative study shows that within these constraints, MOHs can drive organisational change through four mechanisms: establishing a high-level interministerial team to provide political commitment and reduce institutional barriers; establishing an MOH 'change team' to lead implementation of organisational change; securing key components of systemic change through legislation; and leveraging emerging political change windows of opportunity for the introduction of health reforms.

The Challenge of Additionality: The Impact of Central Grants for Primary Healthcare on State-Level Spending on Primary Healthcare in India.

BACKGROUND: In planning for universal health coverage, many countries have been examining their fiscal decentralization policies with the goal of increasing efficiency and equity via "additionalities." The concept of "additionality," when the government of a lower administrative level increases the funding allocated to a particular issue when extra funds are present, is often used in these contexts. Although the definition of "additionality" can be used more broadly, for the purposes of this paper we focus narrowly on the additional allocation of primary healthcare expenditures. This paper explores this idea by examining the impact of central level primary healthcare expenditure, on individual state level contributions to primary healthcare expenditure within 16 Indian states between 2005 and 2013. METHODS: In examining 5 main variables, we compared differences between government expenditures, contributions, and revenues for Empowered Action Group (EAG) states, and non-EAG states. EAG states are normally larger states that have weaker public health infrastructure and hence qualify for additional funding. Finally, using a model that captured the quantity of central level primary healthcare expenditure distributions to these states, we measured its impact on each state's own contributions to primary healthcare spending. RESULTS: Our results show that, at the state level, growth in per capita central level primary healthcare expenditure has increased by 110% from 2005-2013, while state's own contributions to primary healthcare expenditure per capita increased by 32%. Further analyses show that a 1% change disbursement from the central level leads to a -0.132%, although not significant, change by states in their own expenditure. The effect for wealthier states is -0.151% and significant and for poorer states the effect is smaller at -0.096% and not significant. CONCLUSION: This analysis suggests that increases in central level primary healthcare expenditure to states have an inverse relationship with primary healthcare expenditures by the state level. Furthermore, this effect is more pronounced in wealthier Indian states. This finding has policy implications on India's decision to increase block grants to states in place of targeted program expenditures.

Correction to: benefit incidence analysis in public health facilities in India: utilization and benefits at the national and state levels.

.

Noninvasive detection of graft injury after heart transplant using donor-derived cell-free DNA: A prospective multicenter study.

Standardized donor-derived cell-free DNA (dd-cfDNA) testing has been introduced into clinical use to monitor kidney transplant recipients for rejection. This report describes the performance of this dd-cfDNA assay to detect allograft rejection in samples from heart transplant (HT) recipients undergoing surveillance monitoring across the United States. Venous blood was longitudinally sampled from 740 HT recipients from 26 centers and in a single-center cohort of 33 patients at high risk for antibody-mediated rejection (AMR). Plasma dd-cfDNA was quantified by using targeted amplification and sequencing of a single nucleotide polymorphism panel. The dd-cfDNA levels were correlated to paired events of biopsy-based diagnosis of rejection. The median dd-cfDNA was 0.07% in reference HT recipients (2164 samples) and 0.17% in samples classified as acute rejection (35 samples; P = .005). At a 0.2% threshold, dd-cfDNA had a 44% sensitivity to detect rejection and a 97% negative predictive value. In the cohort at risk for AMR (11 samples), dd-cfDNA levels were elevated 3-fold in AMR compared with patients without AMR (99 samples, P = .004). The standardized dd-cfDNA test identified acute rejection in samples from a broad population of HT recipients. The reported test performance characteristics will guide the next stage of clinical utility studies of the dd-cfDNA assay.

Low effective coverage of family planning and antenatal care services in Ethiopia.

OBJECTIVE: To assess the quality and effective coverage (EC) of family planning (FP) and antenatal care (ANC) services in Ethiopia. DESIGN: Secondary analyses of the 2014 Ethiopia Service Provision Assessment Plus Survey and 2016 Ethiopia Demographic and Health Survey data. SETTING AND PARTICIPANTS: Women using FP and ANC. MAIN OUTCOME MEASURES: Quality indices are created as a proportion of recommended clinical actions done in observations of ANC and FP visits. We adjust the crude coverage of ANC and of FP by the quality to estimate EC for both services. RESULTS: The crude coverage of FP was 61% and 62% for ANC in Ethiopia in 2016. On average, quality was 35.8% during FP visits and 86% of women received <50% of the recommended clinical actions. When adjusting the crude coverage to account for the quality of service, Ethiopia's FP services EC was 22%. On average, ANC quality was 34% and 81% received <50% of the recommended ANC clinical actions. When adjusting the crude coverage by the service quality, the mean EC of ANC services was 22% in Ethiopia. CONCLUSIONS: The quality of both FP and ANC services is low in Ethiopia, with women obtaining only a fraction of the standard clinical actions during their visits. In addition, there is considerable variation in EC across Ethiopia's regions, with variation driven largely by variations in crude coverage. To improve EC, actions are needed to improve the quality of ANC and FP care.

Benefit incidence analysis in public health facilities in India: utilization and benefits at the national and state levels.

BACKGROUND: Benefit Incidence Analysis (BIA) is used to understand the distribution of health care utilization and spending in comparison to income distribution. The results can illustrate how effectively governments allocate limited resources towards meeting the needs of the poor. In analyzing the distribution of public spending on inpatient, outpatient, and deliveries, this paper represents the most recent BIA completed in India. METHODS: In order to conduct the BIA statistical analysis for this project, 2014 utilization data from the most recently completed Indian National Sample Survey (NSS) was used. Unit costs were estimated for primary care, hospital inpatient, hospital outpatient, and deliveries. Concentration curves and concentration indices were estimated both at the national and state levels. Analyses were reported for overall utilization, as well as for the gross and net benefits for inpatient, outpatient, and deliveries. RESULTS: According to the results, utilization of government inpatient and delivery services is pro-poor. When gross and net benefits are included in the analysis, services become more equal and less pro-poor. Gross benefits, which are measured with state-level unit costs, are virtually equal for all services. Although there are some pro-poor gross benefits trends for national outpatient services, the results also show that the equality of national gross benefits trends hides a significant disparity across Indian States. While a number of Indian States have outpatient gross benefits that are pro-poor, few show pro-poor benefits for inpatient and delivery services. Net benefits, which considers both unit costs for each respective service, and out-of-pocket (OOP) expenditures, trend similarly to gross benefits. In addition, those who use public facilities spend considerable OOP to supplement government services. CONCLUSIONS: This BIA reveals that government spending on public health care has not resulted in significantly pro-poor services. While some progress has been made relative to deliveries and outpatient services, inpatient stays are not pro-poor. In addition, national results mask significant disparities across Indian states.

Understanding drivers of domestic public expenditure on reproductive, maternal, neonatal and child health in Peru at district level: an ecological study.

BACKGROUND: Peru has increased substantially its domestic public expenditure in maternal and child health. Peruvian departments are heterogeneous in contextual and geographic factors, underlining the importance of disaggregated expenditure analysis up to the district level. We aimed to assess possible district level factors influencing public expenditure on reproductive, maternal, neonatal and child health (RMNCH) in Peru. METHODS: We performed an ecological study in 24 departments, with specific RMNCH expenditure indicators as outcomes, and covariates of different hierarchical dimensions as predictors. To account for the influence of variables included in the different dimensions over time and across departments, we chose a stepwise multilevel mixed-effects regression model, with department-year as the unit of analysis. RESULTS: Public expenditure increased in all departments, particularly for maternal-neonatal and child health activities, with a different pace across departments. The multilevel analysis did not reveal consistently influential factors, except for previous year expenditure on reproductive and maternal-neonatal health. Our findings may be explained by a combination of inertial expenditure, a results-based budgeting approach to increase expenditure efficiency and effectiveness, and by a mixed-effects decentralization process. Sample size, interactions and collinearity cannot be ruled out completely. CONCLUSIONS: Public district-level RMNCH expenditure has increased remarkably in Peru. Evidence on underlying factors influencing such trends warrants further research, most likely through a combination of quantitative and qualitative approaches.