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Summary Will the Sustainable Development Goal 3 sub-goal "Achieve universal health coverage, including financial risk protection, access to quality essential health care services and…safe, effective, quality and affordable essential medicines and vaccines for all" be judged a breakthrough or a great white elephant in implementation, when we look back with the clear eyes of hindsight in 2030? What are the ways in which this agenda might play out in implementation and why might it do so? Drawing on a desk review, this Essay explores dominant ideas, ideology, institutions, and interests in relation to global versus Ghana national health priorities since the WHO constitution came into effect in 1948, to reflect on these questions.

Sub-Saharan Africa’s health challenges are numerous and wide-ranging. Most sub-Saharan African countries face a double burden of traditional, persisting health challenges, such as infectious diseases, malnutrition, and child and maternal mortality, and emerging challenges from an increasing prevalence of chronic conditions, mental health disorders, injuries, and health problems related to climate change and environmental degradation. Although there has been real progress on many health indicators, life expectancy and most population health indicators remain behind most low-income and middle-income countries in other parts of the world. Our Commission was prompted by sub-Saharan Africa’s potential to improve health on its own terms, and largely with its own resources. The spirit of this Commission is one of evidence-based optimism, with caution. We recognise that major health inequities exist and that health outcomes are worst in fragile countries, rural areas, urban slums, and conflict zones, and among the poor, disabled, and marginalised. Moreover, sub- Saharan Africa is facing the challenges and opportunities of the largest cohort of young people in history, with the youth population aged under 25 years predicted to almost double from 230 million to 450 million by 2050. The future of health in Africa is bright, but only if no one is left behind.

This paper seeks to advance our understanding of health policy agenda setting and formulation processes in a lower middle income country, Ghana, by exploring how and why maternal health policies and programmes appeared and evolved on the health sector programme of work agenda between 2002 and 2012. We theorized that the appearance of a policy or programme on the agenda and its fate within the programme of work is predominately influenced by how national level decision makers use their sources of power to define maternal health problems and frame their policy narratives. National level decision makers used their power sources as negotiation tools to frame maternal health issues and design maternal health policies and programmes within the framework of the national health sector programme of work. The power sources identified included legal and structural authority; access to authority by way of political influence; control over and access to resources (mainly financial); access to evidence in the form of health sector performance reviews and demographic health surveys; and knowledge of national plans such as Ghana Poverty Reduction Strategy. Understanding of power sources and their use as negotiation tools in policy development should not be ignored in the pursuit of transformative change and sustained improvement in health systems in low- and middle income countries (LMIC).

Objectives This paper examines policy implementation gaps of user fees plus exemptions and health insurance in providing financial access to primary clinical care for children under five in Ghana. Methods Methods included analysis of routine data, focus group discussions, in-depth interviews, and administration of a structured questionnaire. Results Providers modified exemptions policy implementation arrangements, sometimes giving partial or no exemptions. Clients who knew or suspected exemption entitlements failed to request them because of fear of negative reactions from providers. Providers attributed their modification of implementation arrangements and negative reactions to the threat posed to the financial viability of their institutions by reimbursement uncertainty and delays. At the time of the study insurance coverage was low and frontline workers were not noticeably modifying implementation arrangements. However, the underlying goal conflicts, resource scarcity, conditions of work and relationships between frontline workers and clients that fueled the exemptions policy implementation gaps were unchanged. The potential for the health insurance policy to stumble over implementation gaps as happened with the exemptions policy therefore remained. Conclusions Policies that do not take into account the incentives for frontline worker adherence and align them better with policy objectives may experience implementation gaps.

Introduction This study was nested in a prospective cohort of 1010 pregnant women attending antenatal clinics in two public hospitals in Accra, Ghana. Objectives We assessed whether adding the biomarkers Pregnancy Associated Plasma Protein-A (PAPP-A) and Placental Growth Factor (PlGF) to maternal clinical characteristics improved the prediction of a previously developed model for gestational hypertension in a cohort of Ghanaian pregnant women. Methods Pregnant women who were normotensive, at a gestational age at recruitment of between 8 and 13 weeks and provided a blood sample for biomarker analysis were eligible for inclusion. From serum, biomarkers PAPP-A and PlGF concentrations were measured by the AutoDELFIA immunoassay method and multiple of the median (MoM) values corrected for gestational age (PAPP-A and PlGF) and maternal weight (PAPP-A) were calculated. To obtain prediction models, these biomarkers were included with clinical predictors maternal weight,height, diastolic blood pressure, a previous history of gestational hypertension, history of hypertension in parents and parity in a logistic regression to obtain prediction models. The Area Under the Receiver Operating Characteristic Curve (AUC) was used to assess the predictive ability of the models. Results Three hundred and seventy-three women participated in this study. The area under the curve (AUC) of the model with only maternal clinical characteristics was 0.75 (0.64–0.86) and 0.89(0.73–1.00) for multiparous and primigravid women respectively. The AUCs after inclusion of both PAPP-A and PlGF were 0.82 (0.74–0.89) and 0.95 (0.87–1.00) for multiparous and primigravid women respectively. Discussion Adding the biomarkers PAPP-A and PlGF to maternal characteristics in a prediction model for gestational hypertension in a cohort of Ghanaian pregnant women improved predictive ability. Further research using larger sample sizes in similar settings to validate these findings is recommended.

This paper presents findings of an exploratory and comparative study of a farming and a fishing community of the Ga-Adangme ethnic group in Ghana, which investigated the prevalence of malaria and anaemia among adolescent girls (10–19 years), illness and community perceptions of blood, anaemia and malaria. In both communities blood is perceived as the source of life, strength and health of an individual. Members of both communities attributed anaemia to poor diet, fevers such as malaria, excessive external heat or hard work, flirting and excessive worry.

Contains fulltext : 50627.pdf (Publisher’s version ) (Closed access) OBJECTIVE: Mutual Health Organizations (MHO) emerged in Ghana in the mid-1990s. The organizational structure and financial management of private and public MHO hold important lessons for the development of national health insurance in Ghana, but there is little evidence to date on their features. This paper aims at filling this data gap, and at making recommendations to Ghanaian authorities on how to stimulate the success of MHO. METHODS: Survey among 45 private and public MHO in Ghana in 2004-2005, asking questions on their structure, financial management and financial position. RESULTS: Private MHO had more autonomy in setting premiums and benefit packages, and had higher community participation in meetings than public MHO. MHO in general had few measures in place to control moral hazard and reduce adverse selection, but more measures to control fraud and prevent cost escalation. The vast majority of schemes were managed by formally trained and paid staff. The financial results varied considerably. CONCLUSIONS: Ghanaian authorities regulate the newly established public MHO, but may do good by leaving them a certain level of autonomy in decision-making and secure community participation. The financial management of MHO is suboptimal, which indicates the need for technical assistance.

Introduction Hypertensive disorders in pregnancy, including Pregnancy Induced Hypertension (PIH), are important causes of morbidity and mortality in pregnancy. Identifying women at high risk will allow for early management to reduce complications of PIH. Objectives The objectives were to determine the incidence of PIH among pregnant women and develop risk prediction models for early detection of women at increased risk of PIH. Methods: A longitudinal cohort study involving 2539 pregnant women attending antenatal clinic in the Greater Accra region of Ghana was conducted between February and May 2010. The outcome, PIH, was defined as systolic or diastolic blood pressure BP of 140 mmHg or 90 mmHg respectively. Logistic regression was used to derive the prediction models and bootstrapping technique was used to internally validate them. A score chart was used to classify pregnant women into low, moderate and high risk of developing PIH. Results The incidence of PIH was 8.0% (95% C.I: 7.98–8.02%) and 10.9% (95% C.I:10.89–10.91%) in nulliparous and multiparous women respectively. Systolic blood pressure, diastolic blood pressure, history of hypertension in parents, family history of diabetes, proteinuria, body mass index (BMI) were among independent predictors in early pregnancy of subsequent PIH. The prognostic performance, estimated by the area under the Receiver Operating Characteristic (ROC) curve, ranged between 0.64 and 0.84 for the models for nulliparous and multiparous. Conclusion Using a limited set of maternal characteristics, pregnant women at increased risk of developing PIH can be identified. Categorizing women by risk of PIH and providing tailored antenatal care will minimize complications of PIH.