Evaluation of an mHealth tool to improve nutritional assessment among infants under 6 months in paediatric development clinics in rural Rwanda: Quasi-experimental study
被引:5
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作者:
Nemerimana, Mathieu
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Partners Hlth Inshuti Mu Buzima, Kigali, RwandaPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Nemerimana, Mathieu
[1
]
Karambizi, Angelique Charlie
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Partners Hlth Inshuti Mu Buzima, Kigali, RwandaPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Karambizi, Angelique Charlie
[1
]
Umutoniwase, Sabine
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Partners Hlth Inshuti Mu Buzima, Kigali, RwandaPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Umutoniwase, Sabine
[1
]
Barnhart, Dale A.
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Partners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Harvard Med Sch, Boston, MA 02115 USAPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Barnhart, Dale A.
[1
,4
]
Beck, Kathryn
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Partners Hlth Inshuti Mu Buzima, Kigali, RwandaPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Beck, Kathryn
[1
]
Bihibindi, Vianney Kabundi
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Partners Hlth Inshuti Mu Buzima, Kigali, RwandaPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Bihibindi, Vianney Kabundi
[1
]
Wilson, Kim
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机构:
Boston Childrens Hosp, Boston, MA USAPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Wilson, Kim
[2
]
Nshimyiryo, Alphonse
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Partners Hlth Inshuti Mu Buzima, Kigali, RwandaPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Nshimyiryo, Alphonse
[1
]
Bradford, Jessica
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机构:
Partners Hlth Inshuti Mu Buzima, Kigali, Rwanda
Boston Childrens Hosp, Boston, MA USAPartners Hlth Inshuti Mu Buzima, Kigali, Rwanda
child development;
growth monitoring;
high‐
risk infants;
mHealth;
nutrition;
small and sick newborns;
NEWBORN;
HEALTH;
MALNUTRITION;
PRIORITIES;
ACCURACY;
CARE;
D O I:
10.1111/mcn.13201
中图分类号:
R15 [营养卫生、食品卫生];
TS201 [基础科学];
学科分类号:
100403 ;
摘要:
Infants born preterm, low birthweight or with other perinatal complications require frequent and accurate growth monitoring for optimal nutrition and growth. We implemented an mHealth tool to improve growth monitoring and nutritional status assessment of high risk infants. We conducted a pre-post quasi-experimental study with a concurrent control group among infants enrolled in paediatric development clinics in two rural Rwandan districts. During the pre-intervention period (August 2017-January 2018), all clinics used standard paper-based World Health Organization (WHO) growth charts. During the intervention period (August 2018-January 2019), Kirehe district adopted an mHealth tool for child growth monitoring and nutritional status assessment. Data on length/height; weight; length/height-for-age (L/HFA), weight-for-length/height (WFL/H) and weight-for-age (WFA) z-scores; and interval growth were tracked at each visit. We conducted a 'difference-in-difference' analysis to assess whether the mHealth tool was associated with greater improvements in completion and accuracy of nutritional assessments and nutritional status at 2 and 6 months of age. We observed 3529 visits. mHealth intervention clinics showed significantly greater improvements on completeness for corrected age (endline: 65% vs. 55%; p = 0.036), L/HFA (endline: 82% vs. 57%; p <= 0.001), WFA (endline: 93% vs. 67%; p <= 0.001) and WFL/H (endline: 90% vs. 59%; p <= 0.001) z-scores compared with control sites. Accuracy of growth monitoring did not improve. Prevalence of stunting, underweight and inadequate interval growth at 6-months corrected age decreased significantly more in the intervention clinics than in control clinics. Results suggest that integrating mHealth nutrition interventions is feasible and can improve child nutrition outcomes. Improved tool design may better promote accuracy.