Journal Article > ResearchFull Text
Public Health Nutr. 1 June 2023; Volume 26 (Issue 6); 1210-1221.; DOI:10.1017/S1368980023000149
Briend A, Myatt M, Berkley JA, Black RE, Boyd EM, et al.
Public Health Nutr. 1 June 2023; Volume 26 (Issue 6); 1210-1221.; DOI:10.1017/S1368980023000149
OBJECTIVE
To compare the prognostic value of mid-upper arm circumference (MUAC), weight-for-height Z-score (WHZ) and weight-for-age Z-score (WAZ) for predicting death over periods of 1, 3 and 6 months follow-up in children.
DESIGN
Pooled analysis of twelve prospective studies examining survival after anthropometric assessment. Sensitivity and false-positive ratios to predict death within 1, 3 and 6 months were compared for three individual anthropometric indices and their combinations.
SETTING
Community-based, prospective studies from twelve countries in Africa and Asia.
PARTICIPANTS
Children aged 6–59 months living in the study areas.
RESULTS
For all anthropometric indices, the receiver operating characteristic curves were higher for shorter than for longer durations of follow-up. Sensitivity was higher for death with 1-month follow-up compared with 6 months by 49 % (95 % CI (30, 69)) for MUAC < 115 mm (P < 0·001), 48 % (95 % CI (9·4, 87)) for WHZ < -3 (P < 0·01) and 28 % (95 % CI (7·6, 42)) for WAZ < -3 (P < 0·005). This was accompanied by an increase in false positives of only 3 % or less. For all durations of follow-up, WAZ < -3 identified more children who died and were not identified by WHZ < -3 or by MUAC < 115 mm, 120 mm or 125 mm, but the use of WAZ < -3 led to an increased false-positive ratio up to 16·4 % (95 % CI (12·0, 20·9)) compared with 3·5 % (95 % CI (0·4, 6·5)) for MUAC < 115 mm alone.
CONCLUSIONS
Frequent anthropometric measurements significantly improve the identification of malnourished children with a high risk of death without markedly increasing false positives. Combining two indices increases sensitivity but also increases false positives among children meeting case definitions.
To compare the prognostic value of mid-upper arm circumference (MUAC), weight-for-height Z-score (WHZ) and weight-for-age Z-score (WAZ) for predicting death over periods of 1, 3 and 6 months follow-up in children.
DESIGN
Pooled analysis of twelve prospective studies examining survival after anthropometric assessment. Sensitivity and false-positive ratios to predict death within 1, 3 and 6 months were compared for three individual anthropometric indices and their combinations.
SETTING
Community-based, prospective studies from twelve countries in Africa and Asia.
PARTICIPANTS
Children aged 6–59 months living in the study areas.
RESULTS
For all anthropometric indices, the receiver operating characteristic curves were higher for shorter than for longer durations of follow-up. Sensitivity was higher for death with 1-month follow-up compared with 6 months by 49 % (95 % CI (30, 69)) for MUAC < 115 mm (P < 0·001), 48 % (95 % CI (9·4, 87)) for WHZ < -3 (P < 0·01) and 28 % (95 % CI (7·6, 42)) for WAZ < -3 (P < 0·005). This was accompanied by an increase in false positives of only 3 % or less. For all durations of follow-up, WAZ < -3 identified more children who died and were not identified by WHZ < -3 or by MUAC < 115 mm, 120 mm or 125 mm, but the use of WAZ < -3 led to an increased false-positive ratio up to 16·4 % (95 % CI (12·0, 20·9)) compared with 3·5 % (95 % CI (0·4, 6·5)) for MUAC < 115 mm alone.
CONCLUSIONS
Frequent anthropometric measurements significantly improve the identification of malnourished children with a high risk of death without markedly increasing false positives. Combining two indices increases sensitivity but also increases false positives among children meeting case definitions.
Journal Article > ResearchFull Text
Public Health Nutr. 3 February 2023; Volume 26 (Issue 4); 803-819.; DOI:10.1017/S136898002300023X
Khara T, Myatt M, Sadler K, Bahwere P, Berkley JA, et al.
Public Health Nutr. 3 February 2023; Volume 26 (Issue 4); 803-819.; DOI:10.1017/S136898002300023X
OBJECTIVE
To understand which anthropometric diagnostic criteria best discriminate higher from lower risk of death in children and explore programme implications.
DESIGN
A multiple cohort individual data meta-analysis of mortality risk (within 6 months of measurement) by anthropometric case definitions. Sensitivity, specificity, informedness and inclusivity in predicting mortality, face validity and compatibility with current standards and practice were assessed and operational consequences were modelled.
SETTING
Community-based cohort studies in twelve low-income countries between 1977 and 2013 in settings where treatment of wasting was not widespread.
PARTICIPANTS
Children aged 6 to 59 months.
RESULTS
Of the twelve anthropometric case definitions examined, four (weight-for-age Z-score (WAZ) <−2), (mid-upper arm circumference (MUAC) <125 mm), (MUAC < 115 mm or WAZ < −3) and (WAZ < −3) had the highest informedness in predicting mortality. A combined case definition (MUAC < 115 mm or WAZ < −3) was better at predicting deaths associated with weight-for-height Z-score <−3 and concurrent wasting and stunting (WaSt) than the single WAZ < −3 case definition. After the assessment of all criteria, the combined case definition performed best. The simulated workload for programmes admitting based on MUAC < 115 mm or WAZ < −3, when adjusted with a proxy for required intensity and/or duration of treatment, was 1·87 times larger than programmes admitting on MUAC < 115 mm alone.
CONCLUSIONS
A combined case definition detects nearly all deaths associated with severe anthropometric deficits suggesting that therapeutic feeding programmes may achieve higher impact (prevent mortality and improve coverage) by using it. There remain operational questions to examine further before wide-scale adoption can be recommended.
To understand which anthropometric diagnostic criteria best discriminate higher from lower risk of death in children and explore programme implications.
DESIGN
A multiple cohort individual data meta-analysis of mortality risk (within 6 months of measurement) by anthropometric case definitions. Sensitivity, specificity, informedness and inclusivity in predicting mortality, face validity and compatibility with current standards and practice were assessed and operational consequences were modelled.
SETTING
Community-based cohort studies in twelve low-income countries between 1977 and 2013 in settings where treatment of wasting was not widespread.
PARTICIPANTS
Children aged 6 to 59 months.
RESULTS
Of the twelve anthropometric case definitions examined, four (weight-for-age Z-score (WAZ) <−2), (mid-upper arm circumference (MUAC) <125 mm), (MUAC < 115 mm or WAZ < −3) and (WAZ < −3) had the highest informedness in predicting mortality. A combined case definition (MUAC < 115 mm or WAZ < −3) was better at predicting deaths associated with weight-for-height Z-score <−3 and concurrent wasting and stunting (WaSt) than the single WAZ < −3 case definition. After the assessment of all criteria, the combined case definition performed best. The simulated workload for programmes admitting based on MUAC < 115 mm or WAZ < −3, when adjusted with a proxy for required intensity and/or duration of treatment, was 1·87 times larger than programmes admitting on MUAC < 115 mm alone.
CONCLUSIONS
A combined case definition detects nearly all deaths associated with severe anthropometric deficits suggesting that therapeutic feeding programmes may achieve higher impact (prevent mortality and improve coverage) by using it. There remain operational questions to examine further before wide-scale adoption can be recommended.
Journal Article > ResearchFull Text
Public Health Nutr. 6 August 2015; Volume 19 (Issue 7); 1296-304..; DOI:10.1017/S1368980015002207
Nsabuwera V, Hedt-Gauthier BL, Khogali MA, Edginton ME, Hinderaker SG, et al.
Public Health Nutr. 6 August 2015; Volume 19 (Issue 7); 1296-304..; DOI:10.1017/S1368980015002207
OBJECTIVE
Determining interventions to address food insecurity and poverty, as well as setting targets to be achieved in a specific time period have been a persistent challenge for development practitioners and decision makers. The present study aimed to assess the changes in food access and consumption at the household level after one-year implementation of an integrated food security intervention in three rural districts of Rwanda.
DESIGN
A before-and-after intervention study comparing Household Food Insecurity Access Scale (HFIAS) scores and household Food Consumption Scores (FCS) at baseline and after one year of programme implementation.
SETTING
Three rural districts of Rwanda (Kayonza, Kirehe and Burera) where the Partners In Health Food Security and Livelihoods Program (FSLP) has been implemented since July 2013.
SUBJECTS
All 600 households enrolled in the FSLP were included in the study.
RESULTS
There were significant improvements (P<0·001) in HFIAS and FCS. The median decrease in HFIAS was 8 units (interquartile range (IQR) -13·0, -3·0) and the median increase for FCS was 4·5 units (IQR -6·0, 18·0). Severe food insecurity decreased from 78% to 49%, while acceptable food consumption improved from 48% to 64%. The change in HFIAS was significantly higher (P=0·019) for the poorest households.
CONCLUSIONS
Our study demonstrated that an integrated programme, implemented in a setting of extreme poverty, was associated with considerable improvements towards household food security. Other government and non-government organizations' projects should consider a similar holistic approach when designing structural interventions to address food insecurity and extreme poverty.
Determining interventions to address food insecurity and poverty, as well as setting targets to be achieved in a specific time period have been a persistent challenge for development practitioners and decision makers. The present study aimed to assess the changes in food access and consumption at the household level after one-year implementation of an integrated food security intervention in three rural districts of Rwanda.
DESIGN
A before-and-after intervention study comparing Household Food Insecurity Access Scale (HFIAS) scores and household Food Consumption Scores (FCS) at baseline and after one year of programme implementation.
SETTING
Three rural districts of Rwanda (Kayonza, Kirehe and Burera) where the Partners In Health Food Security and Livelihoods Program (FSLP) has been implemented since July 2013.
SUBJECTS
All 600 households enrolled in the FSLP were included in the study.
RESULTS
There were significant improvements (P<0·001) in HFIAS and FCS. The median decrease in HFIAS was 8 units (interquartile range (IQR) -13·0, -3·0) and the median increase for FCS was 4·5 units (IQR -6·0, 18·0). Severe food insecurity decreased from 78% to 49%, while acceptable food consumption improved from 48% to 64%. The change in HFIAS was significantly higher (P=0·019) for the poorest households.
CONCLUSIONS
Our study demonstrated that an integrated programme, implemented in a setting of extreme poverty, was associated with considerable improvements towards household food security. Other government and non-government organizations' projects should consider a similar holistic approach when designing structural interventions to address food insecurity and extreme poverty.
Journal Article > ResearchAbstract Only
Public Health Nutr. 8 October 2021; Volume 1 (Issue 21); DOI:10.1017/S1368980021004286
Kodish SR, Allen BGS, Salou H, Schwendler TR, Isanaka S
Public Health Nutr. 8 October 2021; Volume 1 (Issue 21); DOI:10.1017/S1368980021004286
OBJECTIVE
The Three Delays Model is a conceptual model traditionally used to understand contributing factors of maternal mortality. It posits that most barriers to health services utilization occur in relation to one of three delays: Delay 1: delayed decision to seek care; Delay 2: delayed arrival at health facility; Delay 3: delayed provision of adequate care. We applied this model to understand why a community-based management of acute malnutrition (CMAM) services may have low coverage.
DESIGN
We conducted a Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) over three phases using mixed methods to estimate program coverage and barriers to care. In this manuscript, we present findings from 51 semi-structured interviews with caregivers and program staff, as well as 72 structured interviews among caregivers only. Recurring themes were organized and interpreted using the Three Delays Model.
SETTING
Madaoua, Niger.
PARTICIPANTS
123 caregivers and CMAM program staff.
RESULTS
Overall, 11 barriers to CMAM services were identified in this setting. Five barriers contribute to Delay 1, including lack of knowledge around malnutrition and CMAM services, as well as limited family support, variable screening services, and alternative treatment options. High travel costs, far distances, poor roads, and competing demands were challenges associated with accessing care (Delay 2). Finally, upon arrival to health facilities, differential caregiver experiences around quality of care contributed to Delay 3.
CONCLUSIONS
The Three Delays Model was a useful model to conceptualize the factors associated with CMAM uptake in this context, enabling implementing agencies to address specific barriers through targeted activities.
The Three Delays Model is a conceptual model traditionally used to understand contributing factors of maternal mortality. It posits that most barriers to health services utilization occur in relation to one of three delays: Delay 1: delayed decision to seek care; Delay 2: delayed arrival at health facility; Delay 3: delayed provision of adequate care. We applied this model to understand why a community-based management of acute malnutrition (CMAM) services may have low coverage.
DESIGN
We conducted a Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) over three phases using mixed methods to estimate program coverage and barriers to care. In this manuscript, we present findings from 51 semi-structured interviews with caregivers and program staff, as well as 72 structured interviews among caregivers only. Recurring themes were organized and interpreted using the Three Delays Model.
SETTING
Madaoua, Niger.
PARTICIPANTS
123 caregivers and CMAM program staff.
RESULTS
Overall, 11 barriers to CMAM services were identified in this setting. Five barriers contribute to Delay 1, including lack of knowledge around malnutrition and CMAM services, as well as limited family support, variable screening services, and alternative treatment options. High travel costs, far distances, poor roads, and competing demands were challenges associated with accessing care (Delay 2). Finally, upon arrival to health facilities, differential caregiver experiences around quality of care contributed to Delay 3.
CONCLUSIONS
The Three Delays Model was a useful model to conceptualize the factors associated with CMAM uptake in this context, enabling implementing agencies to address specific barriers through targeted activities.
Journal Article > ResearchFull Text
Public Health Nutr. 10 March 2015; Volume 18 (Issue 17); DOI:10.1017/S1368980015000440
Burtscher D, Burza S
Public Health Nutr. 10 March 2015; Volume 18 (Issue 17); DOI:10.1017/S1368980015000440
Objective Since 2009, Médecins Sans Frontières has implemented a community management of acute malnutrition (CMAM) programme in rural Biraul block, Bihar State, India that has admitted over 10 000 severely malnourished children but has struggled with poor coverage and default rates. With the aim of improving programme outcomes we undertook a qualitative study to understand community perceptions of childhood undernutrition, the CMAM programme and how these affected health-seeking behaviour.