Towards identifying malnutrition among infants under 6 months: a mixed methods study of South-Sudanese refugees in Ethiopia

Objectives: To determine (i) whether distinct groups of infants under 6 months old (U6M) were identifiable as malnourished based on anthropometric measures and if so to determine the probability of admittance to GOAL Ethiopia’s Management of At Risk Mothers and Infants (MAMI) programme based on group membership; (ii) whether there were discrepancies in admission using recognised anthropometric criteria, compared with group membership and (iii) the barriers and potential solutions to identifying malnutrition within U6M. Design: Mixed-methods approaches were used, whereby data collected by GOAL Ethiopia underwent: factor mixture modelling, χ 2 analysis and logistic regression analysis. Qualitative analysis was performed through coding of key informant interviews. Setting: Data were collected in two refugee camps in Ethiopia. Key informant interviews were conducted remotely with international MAMI programmers and nutrition experts. Participants: Participants were 3444 South-Sudanese U6M and eleven key informants experienced in MAMI programming. Results: Well-nourished and malnourished groups were identified, with notable discrepancies between group membership and MAMI programme admittance. Despite weight for age z-scores (WAZ) emerging as the most discriminant measure to identify malnutrition, admittance was most strongly associated with mid-upper arm circumference (MUAC). Misconceptions surrounding malnutrition, a dearth of evidence and issues with the current identification protocol emerged as barriers to identifying malnutrition among U6M. Conclusions: Our model suggests that WAZ is the most discriminating anthropometric measure for malnutrition in this population. However, the challenges of using WAZ should be weighed up against the more scalable, but potentially overly sensitive and less accurate use of MUAC among U6M

Medication prescribing in frail older people

Purpose: While some people remain fit and active as they grow older, others experience complex problems: disease, dependency and disability. Frailty is a term used to describe this latter group, capturing differences in health status among older people. Many frail older people have multiple chronic co-morbidities and functional impairments and, according to guidelines for the management of individual conditions, should be prescribed long lists of medications. However, older people (particularly those who are frail) are often excluded from drug trials, and treatment decisions are therefore based on evidence extrapolated from more robust patient groups with fewer physiological deficits. The risk of adverse drug reactions (ADRs) increases with increasing patient frailty, and polypharmacy has negative consequences above and beyond the risks of individual drugs. Increasing numbers of medications are associated with a higher likelihood of non-adherence and a significantly greater risk of ADRs. Older people taking five or more medications are at higher risk of delirium and falls, independent of medication indications. Methods: This is a short review of the different approaches to defining and measuring frailty. We summarise the factors contributing to ADRs in frail older people and describe the pharmacokinetic and pharmacodynamics changes associated with ageing and frailty. By considering goals of care for frail older people, we explore how the appropriateness of medication prescribing for older people could be improved. Conclusion: Since all physicians are likely to provide care for this group of vulnerable patients, understanding the concept of frailty may help to optimise medication prescribing for older people. The incorporation of frailty measures into future clinical studies of drug effects and pharmacokinetics is important if we are to improve medication use and guide drug doses for fit and frail older people