Abstract

BackgroundChronic lung diseases (CLDs), responsible for 4 million deaths globally every year, are increasingly important in low- and middle-income countries where most of the global mortality due to CLDs currently occurs. As existing health systems in resource-poor contexts, especially sub-Saharan Africa (SSA), are not generally oriented to provide quality care for chronic diseases, a first step in re-imagining them is to critically consider readiness for service delivery across all aspects of the existing system.MethodsWe conducted a mixed-methods assessment of CLD service readiness in 18 purposively selected health facilities in two differing SSA health system contexts, Tanzania and Sudan. We used the World Health Organization’s (WHO) Service Availability and Readiness Assessment checklist, qualitative interviews of key health system stakeholders, health facility registers review and assessed clinicians’ capacity to manage CLD using patient vignettes. CLD service readiness was scored as a composite of availability of service-specific tracer items from the WHO service availability checklist in three domains: staff training and guidelines, diagnostics and equipment, and basic medicines. Qualitative data were analysed using the same domains.ResultsOne health facility in Tanzania and five in Sudan, attained a CLD readiness score of ≥ 50 % for CLD care. Scores ranged from 14.9 % in a dispensary to 53.3 % in a health center in Tanzania, and from 36.4 to 86.4 % in Sudan. The least available tracer items across both countries were trained human resources and guidelines, and peak flow meters. Only two facilities had COPD guidelines. Patient vignette analysis revealed significant gaps in clinicians’ capacity to manage CLD. Key informants identified low prioritization as key barrier to CLD care.ConclusionsGaps in service availability and readiness for CLD care in Tanzania and Sudan threaten attainment of universal health coverage in these settings. Detailed assessments by health systems researchers in discussion with stakeholders at all levels of the health system can identify critical blockages to reimagining CLD service provision with people-centered, integrated approaches at its heart.

Highlights

  • Chronic lung diseases (CLDs) are diseases of the airways and structures of the lung including asthma, chronic obstructive pulmonary disease (COPD), bronchiectasis, occupational lung diseases and pulmonary hypertension [1]

  • Characteristics of health facilities Altogether, 18 health facilities were visited for readiness assessment, 10 in Tanzania and 8 in Sudan

  • General service readiness Human resources Nurses made up the majority of healthcare workers observed in the health facilities [38/109 (34.9 %) vs. 43/103 (41.7 %)] whilst assistant medical officers/medical assistants were the least available [8/109 (7.3 %) vs. 6/103 (5.8 %)] in Tanzania and Sudan respectively

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Summary

Introduction

Chronic lung diseases (CLDs) are diseases of the airways and structures of the lung including asthma, chronic obstructive pulmonary disease (COPD), bronchiectasis, occupational lung diseases and pulmonary hypertension [1] They are responsible for a high burden of morbidity - especially from poorly controlled asthma - and mortality – especially from COPD – causing around 4 million deaths globally every year [2]. A review showed a wide variation in prevalence of asthma from 9.1 % in Ethiopia to 20.3 % in South Africa [10] Interpretation of this variability is confounded by differences in study methodology and diagnostic approaches. Chronic lung diseases (CLDs), responsible for 4 million deaths globally every year, are increasingly important in low- and middle-income countries where most of the global mortality due to CLDs currently occurs. As existing health systems in resource-poor contexts, especially sub-Saharan Africa (SSA), are not generally oriented to provide quality care for chronic diseases, a first step in re-imagining them is to critically consider readiness for service delivery across all aspects of the existing system

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