The Ghana heart initiative - a health system strengthening approach as index intervention model to solving Ghana's cardiovascular disease burden.

Cardiovascular diseases (CVD) are the leading cause of death worldwide, with 80% of these deaths occurring in low-middle income countries (LMICs). In Ghana and across Africa, CVDs have emerged as the leading causes of death primarily due to undetected and under treated hypertension, yet less than 5% of resources allocated to health in these resource-poor countries go into non-communicable diseases (NCD) including CVD prevention and management. Consequently, most countries in Africa do not have contextually appropriate and sustainable health system framework to prevent, detect and manage CVD to achieve Universal Health Coverage (UHC) in CVD care through improved Primary Health Care (PHC) with the aim of achieving Sustainable Development Goals (SDG) in CVD/NCD. In view of this, the Ghana Heart Initiative (GHI) was envisaged as a national strategy to address the identified gaps using a health system and a population-based approach to reduce the national burden of CVDs. The GHI intervention includes the development of guidelines and training manuals; training, equipment support, establishment of a national call/support center, and improvement in the national data capturing system for CVDs and NCD, management of Hypertension, Deep Vein Thrombosis (DVT) and Heart Failure (HF). Following the implementation of the GHI concept, a national CVD Management Guideline was developed and 300-health facilities across the different levels of care including one teaching hospital, was also supported with basic life-saving equipment. In addition, more than 1,500 healthcare workers also reported improvement in their knowledge and skills in the management and treatment of CVD-related cases in their health facilities. These are key contributions to strengthening the health system for CVD care and learning lessons for scale up.

Model for building quality resilient health facility.

The AfIHQSA Model is the model for building quality resilient health systems. It is proposed as a compliment to and in many instances as an alternative to the many other existing in ensuring a systematic and a sustained approach to improving outcomes in African health systems. It seeks to bring the necessary transformation to healthcare quality and patient safety and facilitate the attainment of desired outcomes. The model is unique in its iterative nature and how it places premium on sustaining the gains of improvement. The authors are concerned about the lack of sustainability of the many quality improvement efforts on the continent and how they all fade out into obscurity upon the exit of the proponents. Six iterative steps are proposed in the use of the model and these are: leadership commitment and buy-in; situational analysis of quality management capacity; systems strengthening for quality management; quality improvement interventions for care outcomes; standardization/accreditation/certification; and iterative monitoring, evaluation of performance of interventions and learning. Most of the quality interventions and efforts on the continent have failed because the steps in this model have not been sufficiently followed and addressed. The required strengthening of the various components of the health system necessary to sufficiently bear the weight of any quality intervention and guarantee sustainability of the gains is often ignored. As authors, we have therefore formally adopted the use of this model and plan to further continue evaluating and monitoring its utility and its generalizability in different institutions and countries.

Examining the Utilization of Social Capital by Ghanaians When Seeking Care for Chronic Diseases: A Personal Network Survey.

Objectives: With limited social security and health protection in Ghana, intergenerational support is needed by those living with NCDs, who incur recurrent costs when seeking NCD care. We measured the level of informal support received by NCD patients and identified factors that influence support provision. Methods: We surveyed 339 NCD patients from three hospitals in Ghana, who listed their social ties and answered questions about their relationship and support frequency. We analyzed the relationship between social support, demographic and health information, characteristics of social ties, and network characteristics. Results: Participants described 1,371 social ties. Nearly 60% of respondents reported difficulties in their usual work or household duties due to chronic illness, which was also the strongest predictor of support. Patients with higher wellbeing reported less social support, while older age and having co-habitant supporters were negatively associated with support, indicating caregiver burnout. Conclusion: Ghanaian NCD patients receive support from various caregivers who may not be able to handle the increasing healthcare and social needs of an aging population. Policies should therefore enhance resource pooling and inclusiveness for old age security.

Health Systems Factors Associated With Adverse Events Among Hospitalized Obstetric Clients in a Tertiary Health Care Facility in Ghana.

OBJECTIVES: The risk of an adverse event (AE) in obstetric clients receiving care in hospitals is greater than the risk of dying in aviation, road traffic accidents, and breast cancer. There is little understanding of AEs with respect to their causes at hospitals. The study aimed at assessing factors that are associated with the occurrence of AEs among hospitalized obstetric clients in a tertiary hospital in Ghana. METHOD: This was a case-control study of 650 obstetric clients (equal number in both arms) who were admitted between January 1 and December 31, 2015, at the study site. A retrospective review of the clients' medical records was randomly allocated into both arms of the study. Descriptive and inferential statistics including confirmatory factor analysis were performed. Models were evaluated for goodness-of-fit measures. The reliability and validity of the scale were also tested using Cronbach α coefficient. RESULTS: The mean gestational age of the clients was 37.4 ± 4.9 weeks. Leadership and governance (inadequate use of protocol and adherence) accounted for the most cause of AEs among obstetric clients. The overall Kaiser-Meyer-Olkin score was also 0.87. The scale also demonstrated high reliability (Cronbach α = 0.995; composite reliability > 0.7) and validity (average variance extraction > 0.50). There was a marginal model fit (root mean square error of approximation, 0.067), and the χ2 test was statistically significant (P < 0.05). CONCLUSIONS: Inadequate use of protocol and adherence is a major cause of preventable AEs identified in this study. There is an urgent need to address this to ensure a reduction in the prevalence of AEs among obstetric clients.