Background: High quality personal exposure data is fundamental to understanding the health implications of household energy interventions, interpreting analyses across assigned study arms, and char...

/pdf/air-pollutant-exposure-and-stove-use-assessment-methods-for-dx9b3szsdi.pdf

Air Pollutant Exposure and Stove Use Assessment Methods for the Household Air Pollution Intervention Network (HAPIN) Trial.

2.9 Billion people lack access to secure and affordable clean cooking fuels and technologies. Numerous studies and initiatives have attempted to design and implement more efficient stoves, but often these efforts fail as the combination of stove design, fuel access, or management issues does not meet the cook’s needs or preferences. This review analyzes the stove functions, characteristics, or features that households value in their cook stove. From these data, we explore user preferences, which we catalog within the Technology Acceptance Model along seven dimensions that arose in the literature: technical design and stove operation, fuel characteristics, technical details or features, kitchen space, household food and taste demands, household schedules, and social and cultural aspects. Overall, households need a stove that meets their large cooking demands and can perform a range of cooking functions at a range of cooking speeds. In order to meet these requirements, we advocate that private and public stove programs bundle stove models to meet all the households’ needs to ensure both adoption and consistent, exclusive use.

What’s in a stove? A review of the user preferences in improved stove designs

More than 40% of the world’s population still relies on traditional biomass for their cooking needs. A shift to advanced cookstoves can bring significant health and environmental benefits, but only with near exclusive use which requires significant changes in users’ behaviours. Since the emergence of the Global Alliance for Clean Cookstoves (now the Clean Cooking Alliance) in 2011, more attention has been directed to consumer and demand side factors in clean cookstove adoption and efforts to better understand individuals’ behaviours, household dynamics and decision making around the adoption of clean cookstoves and fuels have increased. This paper presents a review of the academic literature (2013–2020) and aims to identify the most successful interventions of behaviour change techniques in the adoption of improved cookstoves as well as the most common barriers to success cited in the literature. The study sourced 40 peer reviewed published academic papers from spring 2013 to summer 2020, and identified the following most commonly used behaviour change techniques in the adoption of improved cookstoves: Shaping Knowledge (n = 19), Reward & Threat (n = 13), Social Support (n = 9), Comparisons (n = 4), Identity/Self-Belief (n = 4), Regulation (n = 0), Change in the Physical Environment (n = 2), Goals & Planning (n = 6). Based on these results, we present gaps in the literature and provide policy recommendations to promote the adoption and continued use of improved cookstoves.

Do we need better behaved cooks? Reviewing behavioural change strategies for improving the sustainability and effectiveness of cookstove programs

Globally, 2.8 billion people cook with biomass fuels, resulting in devastating health and environmental consequences. Efforts to transition households to cooking with clean fuels are hampered by ‘fuel stacking’, the reliance on multiple fuels and stoves. Consequently, there have been few interventions that have realized the full potential of clean cooking. Here we conduct a structured literature review (N = 100) to identify drivers of fuel stacking and specify them according to a psychological model of behaviour, the Capability–Opportunity–Motivation (COM-B) model. We create a taxonomy of stacking and find that the Physical Opportunity domain accounted for 82% of drivers. Our results have important implications for intervention design as they suggest improving opportunity is the most effective pathway to adoption of cleaner fuels. The findings are used to derive recommendations about how policymakers and practitioners can proactively address drivers of stacking to foster adoption of clean cooking stoves and fuels. Realizing the full potential of clean cooking transitions requires an understanding of fuel stacking in which multiple fuels and stoves are used. Towards this end, Perros et al. analyse the literature on clean cooking interventions through a behavioural model and identify underlying drivers of stacking. 

/pdf/behavioural-factors-that-drive-stacking-with-traditional-1aqybrkh.pdf

Behavioural factors that drive stacking with traditional cooking fuels using the COM-B model

Phase change thermal storage: Cooking with more power and versatility

https://www.econstor.eu/bitstream/10419/242294/1/1042115133.pdf

Effects of USB port access on advanced cookstove adoption

Malnutrition is a leading cause of preventable deaths in infants and children. To benefit from treatment and prevention programmes, malnourished children must first be identified. Low weight-for-age is an anthropometric indicator of malnutrition which is gaining much recent attention because it is particularly effective at identifying children at highest risk of death. However, assessing weight-for-age can be challenging. We aimed to evaluate a novel, low-cost weight-for-age slide chart and compare its performance against two traditional methods. We conducted a cross-over diagnostic study comparing a new “MAMI” slide-chart against traditional growth charts and look-up tables. Participants were health and public health professionals working or studying in the UK. Each acted as their own control, using all three methods but in random order. Under timed conditions, they evaluated hypothetical scenarios, arranged in a random sequence. Each tool’s diagnostic accuracy and response rate were compared. User preferences were also recorded. Sixty-two participants took part. Diagnostic accuracy was highest for the MAMI chart: 79%(351/445) correct assessments. Accuracy using look-up tables was 70%(308/438). Growth charts performed worst: 61%(217/353) correct (p-value<0.01). The mean number of scenarios (±SD) correctly identified by each participant in 4-minutes was 3.5(±2.19) using growth charts; 4.97(±2.50) using look-up tables; 5.66(±2.69) using MAMI charts (ANOVA, p-value<0.01). This translates to approximately 53, 75 and 85 correct assessments per participant in an hour for the respective tools. No statistically significant differences were found with participants’ years of experience or profession type. Most participants, 43/62(69%), preferred the MAMI chart and reported it to be easier and faster to use than traditional tools. We conclude that weight-for-age assessment is quicker and more accurate using the newly-developed MAMI slide chart as opposed to traditional methods. It should be further field tested in other settings since the potential to improve the efficiency and effectiveness of treatment programmes is great.

Identifying underweight in infants and children using growth charts, lookup tables and a novel “MAMI” slide chart: A cross-over diagnostic and acceptability study

http://www.valueinhealthjournal.com/article/S1098301521027224/pdf

POSA290 Prevalence of Stone Disease and Procedure Trends Among a US Commercial Population

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Effects of USB port access on advanced cookstove adoption

Identifying underweight in infants and children using growth charts, lookup tables and a novel “MAMI” slide chart: A cross-over diagnostic and acceptability study

POSA290 Prevalence of Stone Disease and Procedure Trends Among a US Commercial Population