Publication Details

AFRICAN RESEARCH NEXUS

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medicine

Health insurance or subsidy has universal advantage for management of hospital malnutrition unrelated to GDP

Asia Pacific Journal of Clinical Nutrition, Volume 26, No. 2, Year 2017

Background and Objectives: Protein-energy and micronutrient malnutrition are global public health problems which, when not prevented and severe, require medical management by clinicians with nutrition expertise, preferably as a collectively skilled team, especially when disease-related. This study aimed to investigate barriers and facilitators of clinical nutrition services (CNS), especially the use of oral, enteral (EN) and parenteral (PN) nutrition in institutional and home settings. Methods and Study Design: An international survey was performed between January and December 2014 in twenty-six countries from all continents. Electronic questionnaires were distributed to 28 representatives of clinical nutrition (PEN) societies, 27 of whom responded. The questionnaire comprised questions regarding a country's economy, reimbursement for CNS, education about and the use of EN and PN. Results: The prevalence of malnutrition was not related to gross domestic product (GDP) at purchasing power parity (PPP) per capita (p=0.186). EN and PN were used in all countries surveyed (100%), but to different extents. Reimbursement of neither EN nor PN use depended on GDP, but was associated with increased use of EN and PN in hospitals (p=0.035), although not evident for home or chronic care facilities. The size of GDP did not affect the use of EN (p=0.256), but it mattered for PN (p=0.019). Conclusions: A worldwide survey by nutrition support societies did not find a link between national economic performance and the implementation of medical nutrition services. Reimbursement for CNS, available through health insurance systems, is a factor in effective nutrition management.

Statistics
Citations: 28
Authors: 28
Affiliations: 27
Identifiers
Research Areas
Food Security
Health System And Policy
Study Design
Cross Sectional Study
Study Approach
Quantitative