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  1. Development and evaluation of a digital, community-based intervention to reduce noncommunicable disease risk in a low-resource urban setting in Malaysia: a research protocol
    Kataria I, Ngongo C, Lim SC, Kocher E, Kowal P, Chandran A, et al.
    Implement Sci Commun, 2020;1:87.
    PMID: 33033807 DOI: 10.1186/s43058-020-00080-y
    Background: Noncommunicable disease burden is rising in Malaysia, accounting for 72% of all deaths. Urbanization and globalization have contributed to changing patterns of diet and physical activity, creating an obesogenic environment that increases noncommunicable disease risk, especially in low-income populations. Community-based and technological interventions can play an important role in addressing structural determinants that influence noncommunicable disease burden. The Better Health Programme Malaysia aims to co-create and develop a community-based digital intervention for low-income populations to enable community stakeholders to address obesogenic environments and improve people's knowledge, attitudes, and practices related to noncommunicable disease risk.

    Methods: This quasi-experimental study will assess community member and community health volunteer knowledge, attitudes, and practices on noncommunicable disease prevention, risk factors, and health-seeking behavior in three geographical areas of Kuala Lumpur, each representing a different ethnicity (Malay, Indian, and Chinese). Assessment will take place before and after a 9-month intervention period, comparing intervention areas with matched control geographies. We plan to engage 2880 community members and 45 community health volunteers across the six geographic areas. A digital health needs assessment will inform modification of digital health tools to support project aims. Intervention co-creation will use a discrete choice experiment to identify community preferences among evidence-based intervention options, building from data collected on community knowledge, attitudes, and practices. Community health volunteers will work with local businesses and other stakeholders to effect change in obesogenic environments and NCD risk. The study has been approved by the Malaysian Ministry of Health Medical Research Ethical Committee.

    Discussion: The Better Health Programme Malaysia anticipates a bottom-up approach that relies on community health volunteers collaborating with local businesses to implement activities that address obesogenic environments and improve community knowledge, attitudes, and practices related to NCD risk. The planned co-creation process will determine which interventions will be most locally relevant, feasible, and needed. The effort aims to empower community members and community health volunteers to drive change that improves their own health and wellbeing. The learnings can be useful nationally and sub-nationally in Malaysia, as well as across similar settings that are working with community stakeholders to reduce noncommunicable disease risk.

    Trial registration: National Medical Research Register, Malaysia; NMRR-20-1004-54787 (IIR); July 7, 2020.

  2. Fulltext Community priorities for obesity prevention among low-income adults in Kuala Lumpur: a discrete choice experiment
    Kocher E, Wood D, Lim SC, Jackson-Morris A, Kataria I, Ngongo C, et al.
    Health Promot Int, 2022 Dec 01;37(6).
    PMID: 36367424 DOI: 10.1093/heapro/daac156
    Non-communicable diseases and associated risk factors, such as obesity, are prevalent and increasing in Malaysia. To address this burden and the heightened vulnerability of low-income communities to these risk factors, the Better Health Programme Malaysia conducted a partial-profile discrete choice experiment (DCE) to inform the design of a community-based obesity-prevention programme. The DCE survey was conducted with community members (n = 1453) from three publicly supported low-cost, high-rise flat complexes in urban Kuala Lumpur. In the survey, community members were asked to choose between different sets of potential evidence-based interventions for obesity prevention. Their responses to these choice tasks were analysed to quantify preferences for these different health interventions using a random utility maximization model. Based on these results, we determined participants' relative prioritization of the different options. The most preferred interventions were those that reduced the price of fruit and vegetables; altered cooking practices at restaurants and food vendors to reduce salt, sugar and oil; and offered reward incentives for completing online educational activities. Community members did not prioritize several evidence-based interventions, including changes to product placement or product labelling, suggesting that these effective approaches may be less familiar or simply not preferred by respondents. The DCE enabled the clear articulation of these community priorities for evidence-based interventions that focus on the supply and promotion of affordable healthy foods within the local food environment, as well as community demand for healthier food options.
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