Technology & Industry

Evidence brief: Pathways of health care for people living with multimorbidity in two Southern African countries

A sourced PLOS One study, published 2026-06-12. Read the researchers’ findings, methods and context, with links to connected African health evidence.

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Illustrative stock photograph from Unsplash. It does not depict the reported event, study participants or a confirmed Kenyan facility. Source: https://images.unsplash.com/photo-1532187863486-abf9dbad1b69

Published in PLOS One on 2026-06-12, this study is presented as an attributed evidence briefing. The excerpts below are the original researchers’ words, reproduced under their Creative Commons Attribution licence. Health Signal has selected the abstract and, where needed, opening background paragraphs; the complete methods, results, limitations and references remain in the linked paper.

Original authors: Gift Treighcy Banda-Mtaula, Mtisunge Joshua Gondwe, Nateiya M. Yongolo, Rashida A. Ferrand, Stephen Kasenda, Sara Lowe, Brown David Khongo, Naomi S. Levitt, Beatrice Matanje, Charlotte Taderera, Justin Dixon, Celia L. Gregson, Felix Limbani

Source: PLOS One • DOI 10.1371/journal.pone.0351251

Read the complete primary study ↗ · Creative Commons Attribution licence

From the researchers

Abstract

Multimorbidity, the presence of multiple chronic conditions in one person, is a growing global health concern. Integration of chronic care services is urgently needed, especially in low-resource settings including in Southern Africa, where care has been fragmented by vertical and siloed disease approaches. Many countries share similar challenges of integration, presenting rich opportunities for shared learning. Yet, rarely are these opportunities capitalised upon, in part because of a lack of systematic knowledge about the similarities and differences in health system contexts, challenges and current progress towards integration. As part of an inter-country collaboration, we sought to answer the questions: What are the common and distinct characteristics of the care pathways for people living with multimorbidity in Malawi and Zimbabwe, and the opportunities and challenges that emerge through such a country-level comparison? We used an iterative, qualitative research design that involved a desk review of relevant indicators, policies and strategies; key informant interviews, collaborative workshops, and the development of case studies of service integration in practice. Thematic analysis and comparison of challenges of integration across different levels of care revealed uneven funding for different diseases, a lack of both ‘vertical’ and ‘horizontal’ integration, frequent stockouts of drugs and diagnostic equipment, especially for noncommunicable diseases (NCDs), and inadequate training and support for clinicians. In both countries, progress towards decentralising and integrating chronic disease care at national level, has occurred through inclusion of specific NCDs into HIV programmes. This is prone to leave out comprehensive chronic care for people that are not living with HIV and reproduces verticalised programming. We suggest that a promising avenue for wider scale-up of decentralised, non-HIV-dependent integrated care lies in the expansion of an Integrated Chronic Care Clinic (IC3) model that provides comprehensive health system integration for all chronic diseases. Further cross-country learning and feasibility assessment is needed to advance this model.

Introduction

Multimorbidity, when two or more chronic conditions coexist in one person, is a global health concern [1]. Increasingly recognised as a challenge in low- and middle-income countries (LMICs), its prevalence is highly variable, ranging from 3.2% to 90.5% depending on age group and conditions examined, [2] but tends to be higher in older populations, among females, and those engaged in substance abuse [3]. In the African region, multimorbidity is characterised by the increasing co-existence of the human immunodeficiency virus (HIV) with noncommunicable diseases (NCDs) such as diabetes, hypertension and mental health conditions [4]. In a multi-country study in Eastern Africa, multimorbidity accounted for 47% of admissions to the medical wards, with “HIV and hypertension”, and “hypertension and diabetes” the most common disease combinations and multimorbidity present in 63.5% of admitted patients living with HIV [5] Multimorbidity predisposes to loss of function, a lower health-related quality of life (HRQoL), polypharmacy (the use of many medications), and high socioeconomic costs [5–7]. People with multimorbidity are more likely to be hospitalized, remain longer in hospital, and die early than those with a single chronic disease [8,9]. These associated factors raise healthcare utilisation costs, particularly in already financially constrained public health systems in LMICs [10].

Reading this evidence

Use the full paper to check the study design, participant selection, comparator and outcome definitions before drawing a practical conclusion. An association does not by itself show cause and effect. A reported performance measure needs its denominator and uncertainty. A finding from a particular facility, sample or time period should retain that scope when it is discussed elsewhere.

This briefing makes the source accessible within the wider technology & industry desk. It does not assess an individual patient or certify a product. When considering relevance to another health system, examine the original authors’ account of context and limitations, then seek local implementation evidence. The related reporting below provides other studies to read alongside this one; it is a topic connection, rather than a claim that their results are directly comparable.

© 2026 Gift Treighcy Banda-Mtaula, Mtisunge Joshua Gondwe, Nateiya M. Yongolo, Rashida A. Ferrand, Stephen Kasenda, Sara Lowe, Brown David Khongo, Naomi S. Levitt, Beatrice Matanje, Charlotte Taderera, Justin Dixon, Celia L. Gregson, Felix Limbani. Excerpts reproduced under CC BY. Selection, formatting and contextual notes by Health Signal. The researchers are the authors of the source study, not members of Health Signal’s staff.

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Health Signal Editorial Desk

Health Signal’s publication desk curates source-based health analysis and attributed research briefings. Study authors and originating institutions are credited within each article. Preparation used AI assistance; source and licence checks do not constitute independent replication or clinical endorsement.

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