Multimorbidity-associated emergency hospital admissions: a "screen and link" strategy to improve outcomes for high-risk patients in sub-Saharan Africa: a prospective multicentre cohort study protocol.

Background: The prevalence of multimorbidity (the presence of two or more chronic health conditions) is rapidly increasing in sub-Saharan Africa. Hospital care pathways that focus on single presenting complaints do not address this pressing problem. This has the potential to precipitate frequent hospital readmissions, increase health system and out-of-pocket expenses, and may lead to premature disability and death. We aim to present a description of inpatient multimorbidity in a multicentre prospective cohort study in Malawi and Tanzania. Primary objectives: Clinical: Determine prevalence of multimorbid disease among adult medical admissions and measure patient outcomes. Health Economic: Measure economic costs incurred and changes in health-related quality of life (HRQoL) at 90 days post-admission. Situation analysis: Qualitatively describe pathways of patients with multimorbidity through the health system. Secondary objectives: Clinical: Determine hospital readmission free survival and markers of disease control 90 days after admission. Health Economic: Present economic costs from patient and health system perspective, sub-analyse costs and HRQoL according to presence of different diseases. Situation analysis: Understand health literacy related to their own diseases and experience of care for patients with multimorbidity and their caregivers. Methods: This is a prospective longitudinal cohort study of adult (≥18 years) acute medical hospital admissions with nested health economic and situation analysis in four hospitals: 1) Queen Elizabeth Central Hospital, Blantyre, Malawi; 2) Chiradzulu District Hospital, Malawi; 3) Hai District Hospital, Boma Ng'ombe, Tanzania; 4) Muhimbili National Hospital, Dar-es-Salaam, Tanzania. Follow-up duration will be 90 days from hospital admission. We will use consecutive recruitment within 24 hours of emergency presentation and stratified recruitment across four sites. We will use point-of-care tests to refine estimates of disease pathology. We will conduct qualitative interviews with patients, caregivers, healthcare providers and policymakers; focus group discussions with patients and caregivers, and observations of hospital care pathways.

Background: In sub-Saharan Africa, multimorbidity (defined as people living with two or more chronic health conditions) is increasing due to high infectious ( e.g., human immunodeficiency virus (HIV)) and non-communicable ( e.g., high blood pressure and diabetes) disease burdens. Multimorbidity increases as people live longer and can be worsened by HIV and HIV-medications. Patients delay seeking help until they are severely ill, meaning hospitals are key to healthcare delivery for chronic diseases, however hospital clinicians often focus on a single disease. Failure to identify and treat multimorbidity may lead to frequent readmissions, high costs, preventable disability and death. Aim: This cohort study is the first in a three-phase study with the overarching goal to design and test a system to identify patients suffering from multimorbidity when they seek emergency care in sub-Saharan African hospitals. This could improve early disease treatment (reducing death), ensure better follow-up and prevent disability, readmission and excess costs. The cohort study aims to determine multimorbidity prevalence, outcomes and costs. The results will help us co-create with key stakeholders the most cost-effective way to deliver improved care for patients before testing this strategy in a randomised trial. Methods in Brief: In Malawi and Tanzania, we will identify multimorbidity among patients admitted to hospital (focusing on high blood pressure, diabetes, HIV and chronic kidney disease), by enhancing diagnostic tests in hospital departments treating acutely admitted medical patients. With the help of healthcare professional, patients and community groups we will find how best to link patients to long-term care and improve self-management. After mapping health system pathways, we will work with stakeholders (policymakers, healthcare worker representatives, community and patient groups) to co-develop an intervention to improve outcomes for patients with multimorbidity. This study will allow us to collect clinical, health economic and health system data to inform this process.

Interdisciplinary perspectives on multimorbidity in Africa: Developing an expanded conceptual model.

Multimorbidity is an emerging challenge for health systems globally. It is commonly defined as the co-occurrence of two or more chronic conditions in one person, but its meaning remains a lively area of academic debate, and the utility of the concept beyond high-income settings is uncertain. This article presents the findings from an interdisciplinary research initiative that drew together 60 academic and applied partners working in 10 African countries to answer the questions: how useful is the concept of multimorbidity within Africa? Can the concept be adapted to context to optimise its transformative potentials? During a three-day concept-building workshop, we investigated how the definition of multimorbidity was understood across diverse disciplinary and regional perspectives, evaluated the utility and limitations of existing concepts and definitions, and considered how to build a more context-sensitive, cross-cutting description of multimorbidity. This iterative process was guided by the principles of grounded theory and involved focus- and whole-group discussions during the workshop, thematic coding of workshop discussions, and further post-workshop development and refinement. Three thematic domains emerged from workshop discussions: the current focus of multimorbidity on constituent diseases; the potential for revised concepts to centre the priorities, needs, and social context of people living with multimorbidity (PLWMM); and the need for revised concepts to respond to varied conceptual priorities amongst stakeholders. These themes fed into the development of an expanded conceptual model that centres the catastrophic impacts multimorbidity can have for PLWMM, families and support structures, service providers, and health systems.

A health systems approach to critical care delivery in low-resource settings: a narrative review.

There is a high burden of critical illness in low-income countries (LICs), adding pressure to already strained health systems. Over the next decade, the need for critical care is expected to grow due to ageing populations with increasing medical complexity; limited access to primary care; climate change; natural disasters; and conflict. In 2019, the 72nd World Health Assembly emphasised that an essential part of universal health coverage is improved access to effective emergency and critical care and to "ensure the timely and effective delivery of life-saving health care services to those in need". In this narrative review, we examine critical care capacity building in LICs from a health systems perspective. We conducted a systematic literature search, using the World Heath Organisation (WHO) health systems framework to structure findings within six core components or "building blocks": (1) service delivery; (2) health workforce; (3) health information systems; (4) access to essential medicines and equipment; (5) financing; and (6) leadership and governance. We provide recommendations using this framework, derived from the literature identified in our review. These recommendations are useful for policy makers, health service researchers and healthcare workers to inform critical care capacity building in low-resource settings.

[Principaux facteurs expliquant l'hésitation vaccinale contre la Covid-19 en Tanzanie]. / Key Drivers of Low Covid-19 Vaccine Uptake in Tanzania.

WHO defines vaccine hesitancy as delay in acceptance or refusal of vaccines despite the availability of vaccine services. It is a complex phenomenon that varies through time, place and vaccines. In this comment, we highlight the context-specific variation of Covid-19 vaccine hesitancy in Tanzania. We suggest Covid-19 hesitancy in Tanzania is influenced with high burden of infectious disease, poor testing capabilities and demographic characteristics.