Using Positive Deviance to Understand the Uptake of Optimal Infant and Young Child Feeding Practices by Mothers in an Urban Slum of Mumbai

D'Alimonte, Mary; Deshmukh, Devika; Jayaraman, Anuja; Chanani, Sheila; Humphries, Debbie

doi:10.1007/s10995-015-1899-3

Cited by 14 publications

(27 citation statements)

References 35 publications

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“…In de Onis (WOE = M), infants were fed a mean of 2·8 food groups at 6 months, rising to 5·1 at 24 months (34) . Five other studies reported some information on diversity (35)(36)(37)(38)(39) . Table 3 denotes a summary of all complementary food groups identified from the studies, categorized according to the WHO IYCF food groups defined above.…”

Section: Dietary Diversitymentioning

confidence: 99%

“…Delhi (33,43,47,57,58,70,81,87,100,105) Madhya (69,106) Mangalore (80,102) Haryana (75,86) Rajasthan (52) Gujarat (28,64) Kashmir (38) Ludhiana (53) Himachal (82) Uttarakhand (48,61,77) Uttar Pradesh (36,60,71,98,103) Assam (41,104) Bihar (55,83) West Bengal (30,56,84) Odisha (Orissa) (76,78) Andhra Pradesh (42,74) Maharashtra (27,35,39,50,(66)(67)(68)101) Karnataka (44,(45...…”

Section: Dietary Diversitymentioning

confidence: 99%

“…Twenty-seven studies described advice providers for CFP, of which nine had overall WOE = H and eighteen had overall WOE = M. The commonest source of feeding advice were health-care professionals, including doctors, auxillary nurse midwives, lady health visitors and anganwadi health workers, usually at antenatal visits or during immunizations (twenty-one studies (26,35,38,45,46,50,51,(53)(54)(55)(56)(57)60,61,64,66,68,(77)(78)(79)(80) ). The next most common source of advice was a family member, usually the grandmother or mother-in-law (eleven studies (26,35,45,46,48,52,54,55,60,67,81) ), with nine further studies specifically mentioning elders (35,40,42,45,51,61,66,77,79) . Further sources of feeding advice were the media (four studies (31,35,38,45) ) and friends (three studies…”

Section: Sources Of Advice For Feedingmentioning

confidence: 99%

“…Twenty-nine studies (26)(27)(28)(30)(31)(32)(33)35,37,38,(40)(41)(42)48,50,52,53,56,65,67,69,76,80,84,86,87,91,99,101)…”

Section: -9 Monthsmentioning

confidence: 99%

“…One study (37) Lack of support Two studies (26,52) Acknowledged importance of maternal health One study (35) Maternal age Two studies (37,101)…”

Section: High Birth Ordermentioning

confidence: 99%

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Systematic review of infant and young child complementary feeding practices in South Asian families: the India perspective

Manikam

Prasad

Dharmaratnam

et al. 2017

Public Health Nutr.

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Section: Dietary Diversitymentioning

confidence: 99%

Section: Dietary Diversitymentioning

confidence: 99%

Section: Sources Of Advice For Feedingmentioning

confidence: 99%

“…Twenty-nine studies (26)(27)(28)(30)(31)(32)(33)35,37,38,(40)(41)(42)48,50,52,53,56,65,67,69,76,80,84,86,87,91,99,101)…”

Section: -9 Monthsmentioning

confidence: 99%

“…One study (37) Lack of support Two studies (26,52) Acknowledged importance of maternal health One study (35) Maternal age Two studies (37,101)…”

Section: High Birth Ordermentioning

confidence: 99%

See 3 more Smart Citations

Systematic review of infant and young child complementary feeding practices in South Asian families: the India perspective

Manikam

Prasad

Dharmaratnam

et al. 2017

Public Health Nutr.

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Positive deviance, big data, and development: A systematic literature review

Albanna

Heeks

2018

E J Info Sys Dev Countries

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Positive deviance is a growing approach in international development that identifies those within a population who are outperforming their peers in some way, eg, children in low-income families who are well nourished when those around them are not. Analysing and then disseminating the behaviours and other factors underpinning positive deviance are demonstrably effective in delivering development results. However, positive deviance faces a number of challenges that are restricting its diffusion.In this paper, using a systematic literature review, we analyse the current state of positive deviance and the potential for big data to address the challenges facing positive deviance. From this, we evaluate the promise of "big data-based positive deviance": This would analyse typical sources of big data in developing countries-mobile phone records, social media, remote sensing data, etc-to identify both positive deviants and the factors underpinning their superior performance. While big data cannot solve all the challenges facing positive deviance as a development tool, they could reduce time, cost, and effort; identify positive deviants in new or better ways; and enable positive deviance to break out of its current preoccupation with public health into domains such as agriculture, education, and urban planning. In turn, positive deviance could provide a new and systematic basis for extracting real-world development impacts from big data. KEYWORDS big data, developing countries, machine learning, mobile data, positive deviance, systematic literature review 1 | INTRODUCTIONMany development practitioners continue to use a traditional "needs-based" approach to development, involving top-down identification of needs and problems, and the external imposition of solutions that meet those needs. This type of approach can work well in addressing specific technical challenges. But it works much less well where development requires learning and behavioural change by beneficiary groups, something which necessitates much greater knowledge of and engagement with beneficiary communities (Nel, 2018;Pascale, Sternin, & Sternin, 2010;Saïd Business School, 2010;Singhal, 2011). As a result, more bottom-up "asset-based" approaches have come into existence, which capitalize on a community's inherent assets and capabilities-including knowledge-in solving development problems. Positive deviance (PD) is one such assetbased approach. It is based on the observation that in every group or community, a few individuals use uncommon practices and behaviours to achieve better solutions to problems than their peers who face the same challenges and barriers (Pascale et al., 2010). Those individuals are referred to as "positive deviants" (PDs), and adopting their solutions on a wider basis is referred to as the PD approach.The term "positive deviance" was first used in 1976 to describe a practical strategy for the design of food supplementation programmes in Central America, a strategy that was derived endogenously rather than exogenously through identify...

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Reverse thinking: taking a healthy diet perspective towards food systems transformations

et al. 2021

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Food systems that deliver healthy diets without exceeding the planet’s resources are essential to achieve the worlds’ ambitious development goals. Healthy diets need to be safe, accessible, and affordable for all, including for disadvantaged and nutritionally vulnerable groups such as of smallholder producers, traders, and consumers in low- and middle-income countries. Globally, food systems are experiencing rapid and drastic changes and are failing to fulfil these multiple duties simultaneously. The international community therefore calls for rigorous food systems transformations and policy solutions to support the achievement of healthy diets for all. Most strategies, however, are essentially supply- and market-oriented. Incorporation of a healthy diet perspective in food system transformation is essential to enable food systems to deliver not only on supplying nutritious foods but also on ensuring that consumers have access can afford and desire healthy, sustainable, and culturally acceptable diets. This paper argues that this should be guided by information on diets, dietary trends, consumer motives, and food environment characteristics. Transformational approaches and policies should also take into account the stage of food system development requiring different strategies to ensure healthier diets for consumers. We review current knowledge on drivers of consumer choices at the individual and food environment level with special emphasis on low- and middle income countries, discuss the converging and conflicting objectives that exist among multiple food-system actors, and argue that failure to strengthen synergies and resolve trade-offs may lead to missed opportunities and benefits, or negative unintended consequences in food system outcomes. The paper proposes a menu of promising consumer- and food-environment- oriented policy options to include in the food systems transformation agenda in order to shift LMIC consumer demand towards healthier diets in low- and middle income countries.

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Using Positive Deviance to Understand the Uptake of Optimal Infant and Young Child Feeding Practices by Mothers in an Urban Slum of Mumbai

Cited by 14 publications

References 35 publications

Systematic review of infant and young child complementary feeding practices in South Asian families: the India perspective

Systematic review of infant and young child complementary feeding practices in South Asian families: the India perspective

Positive deviance, big data, and development: A systematic literature review

Reverse thinking: taking a healthy diet perspective towards food systems transformations

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