Understanding factors that influence the integration of acute malnutrition interventions into the national health system in Niger

Since 2007 to address a high burden, integration of acute malnutrition has been promoted in Niger. This paper studies factors that influenced the integration process of acute malnutrition into the Niger national health system. We used qualitative methods of observation, key informant interviews and focus group discussions at national level, two districts and nine communities selected through convenience sampling, as well as document review. A framework approach constructed around the problem, intervention, adoption system, health system characteristics and broad context guided the analysis. Data were recorded on paper, transcribed in a descriptive record, coded by themes deduced by building on the framework and triangulated for comprehensiveness. Key facilitating factors identified were knowledge and recognition of the problem helped by accurate information; effectiveness of decentralized continuity of care; compatibility with goals, support and involvement of health actors; and leadership for aligning policies and partnerships and mobilizing resources within a favourable political context driven by multisectoral development goals. Key hindering factors identified were not fully understanding severity, causes and consequences of the problem; limited utilization and trust in health interventions; high workload, and health worker turnover and attrition; and high dependence on financial and technical support based on short-term emergency funding within a context of high demographic pressure. The study uncovered influencing factors of integrating acute malnutrition into the national health system and their complex dynamics and relationships. It elicited the need for goal-oriented strategies and alignment of health actors to achieve sustainability, and systems thinking to understand pathways that foster integration. We recommend that context-specific learning of integrating acute malnutrition may expand to include causal modelling and scenario testing to inform strategy designs. The method may also be applied to monitor progress of integrating nutrition by the multisectoral nutrition plan to guide change.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Challenges of estimating the annual caseload of severe acute malnutrition: The case of Niger

Introduction: Reliable prospective estimates of annual severe acute malnutrition (SAM) caseloads for treatment are needed for policy decisions and planning of quality services in the context of competing public health priorities and limited resources. This paper compares the reliability of SAM caseloads of children 6-59 months of age in Niger estimated from prevalence at the start of the year and counted from incidence at the end of the year. Methods: Secondary data from two health districts for 2012 and the country overall for 2013 were used to calculate annual caseload of SAM. Prevalence and coverage were extracted from survey reports, and incidence from weekly surveillance systems. Results: The prospective caseload estimate derived from prevalence and duration of illness underestimated the true burden. Similar incidence was derived from two weekly surveillance systems, but differed from that obtained from the monthly system. Incidence conversion factors were two to five times higher than recommended. Discussion: Obtaining reliable prospective caseloads was challenging because prevalence is unsuitable for estimating incidence of SAM. Different SAM indicators identified different SAM populations, and duration of illness, expected contact coverage and population figures were inaccurate. The quality of primary data measurement, recording and reporting affected incidence numbers from surveillance. Coverage estimated in population surveys was rarely available, and coverage obtained by comparing admissions with prospective caseload estimates was unrealistic or impractical. Conclusions: Caseload estimates derived from prevalence are unreliable and should be used with caution. Policy and service decisions that depend on these numbers may weaken performance of service delivery. Niger may improve SAM surveillance by simplifying and improving primary data collection and methods using innovative information technologies for single data entry at the first contact with the health system. Lessons may be relevant for countries with a high burden of SAM, including for targeted emergency responses.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Impostor syndrome in anaesthesiology primarily affects female and junior physicians☆

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Contact coverage of severe acute malnutrition in children 6–59 months of age estimated by coverage survey methods.

<p>Contact coverage of severe acute malnutrition in children 6–59 months of age estimated by coverage survey methods.</p

Annual caseload of severe acute malnutrition estimated at the start of the year from prevalence and counted at end of year from three surveillance systems.

<p>Annual caseload of severe acute malnutrition estimated at the start of the year from prevalence and counted at end of year from three surveillance systems.</p