Open this publication in new window or tab >>Department of Public Health and Community Medicine, School of Medicine and Public Health, Central University of Kerala, Kerala, 671316, India.
Division of Environment Monitoring and Exposure Assessment (Water and Soil), ICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, 462030, India.
Division of Environment Monitoring and Exposure Assessment (Water and Soil), ICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, 462030, India.
Ruxmaniben Deepchand Gardi Medical College, Ujjain, 456006, India.
Division of Environmental Health and Epidemiology, ICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, 462030, India; Faculty of Medical Sciences, Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Ruxmaniben Deepchand Gardi Medical College, Ujjain, 456006, India; Department of Global Public Health, Karolinska Institutet, Stockholm, 171 77, Sweden.
Ruxmaniben Deepchand Gardi Medical College, Ujjain, 456006, India; Department of Global Public Health, Karolinska Institutet, Stockholm, 171 77, Sweden.
Department of Global Public Health, Karolinska Institutet, Stockholm, 171 77, Sweden.
University of Borås, Faculty of Textiles, Engineering and Business.
Department of Global Public Health, Karolinska Institutet, Stockholm, 171 77, Sweden; Health Sciences and New Social Research, Faculty of Social Sciences, Tampere University, Tampere, 33014, Finland.
Health Technology Assessment India, Department of Health Research, Ministry of Health & Family Welfare, Govt. of India, New Delhi, 110001, India.
Division of Environment Monitoring and Exposure Assessment (Water and Soil), ICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, 462030, India; Faculty of Medical Sciences, Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India; Department of Global Public Health, Karolinska Institutet, Stockholm, 171 77, Sweden.
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2026 (English)In: City and Environment Interactions, ISSN 2590-2520, Vol. 31, article id 100428Article in journal (Refereed) Published
Abstract [en]
Background: Household waste segregation is central to effective solid waste management and circular economy goals, yet the development processes and content specifications of segregation interventions are often poorly documented, limiting transparency, reproducibility, and contextual adaptation. Objectives: This manuscript documents how multi-method formative evidence was synthesised and translated into a Behaviour Change Communication (BCC) toolkit delivered by community volunteers to promote household waste segregation in an ongoing cluster-randomised controlled trial in urban India. Trial outcomes and independent formative study findings are not reported here. Methods: The intervention was developed over 12 months using the Behaviour Change Wheel and reported using the GUIDED checklist. Evidence was drawn from a systematic review, qualitative studies with households and service providers, crowdsourcing activities, policy and grey literature, waste composition analysis, volunteer logbooks, and stakeholder consultations. Barriers and enablers were classified using the Motivation-Opportunity-Ability-Behaviour model, while APEASE criteria guided the selection of feasible intervention components. Results: The development process produced three outputs: a behavioural specification of household-level waste segregation, a feasibility-screened set of intervention strategies, and a mapping of behavioural determinants to Behaviour Change Techniques and delivery tools. Key barriers included limited knowledge, weak motivation, and infrastructural constraints. The final BCC toolkit included household segregation bins, volunteer-delivered interpersonal communication, flipbooks and print materials, persuasive messaging with feedback and reminders, and low-cost non-monetary rewards. The toolkit was organised into 24 structured sessions and refined through field-testing, waste composition findings, volunteer feedback, and stakeholder input. Conclusion: The intervention was developed through a theory-driven, participatory, and context-sensitive process. This manuscript provides a transparent account of how formative evidence was translated into a feasible BCC package, while emphasizing that APEASE ratings should be reassessed before adaptation to other municipal or implementation contexts.
Keywords
APEASE criteria, Behaviour change techniques, Behaviour change wheel, Community engagement, GUIDED framework, MOAB model
National Category
Public Health, Global Health and Social Medicine
Research subject
Resource Recovery
Identifiers
urn:nbn:se:hb:diva-35979 (URN)10.1016/j.cacint.2026.100428 (DOI)001822784900001 ()105044452041 (Scopus ID)
Funder
Swedish Research Council Formas, 2019-00439
Note
Errata: The authors regret that there is a correction in the caption of Fig. 1 in the published version and the correct caption is as follows.Fig. 1. The figure summarises the phased development of the BCC intervention. Formative evidence from multiple sources was synthesised to identify behavioural determinants, which were translated into intervention components using the Behaviour Change Wheel (BCW), APEASE screening, and Motivation–Opportunity–Ability–Behaviour (MOAB)-Behaviour Change Technique (BCT) mapping. Iterative stakeholder, volunteer, and community feedback informed refinement of the final theory-informed BCC toolkit.The authors would like to apologise for any inconvenience caused.
2026-07-302026-07-302026-08-11