Data sources for precision public health of obesity: a scoping review, evidence map and use case in Queensland, Australia

• DOI: 10.1186/s12889-022-12939-x
• Publication Date: 2022-03-25T05:03:08Z
• Authors: Oliver J. Canfell; Kamila Davidson; Clair Sullivan; Elizabeth Eakin; Andrew Burton-Jones
• Keywords: Biostatistics; Population Health; Public health surveillance

Abstract Background Global action to reduce obesity prevalence requires digital transformation of the public health sector enable precision (PPH). Useable data for PPH is yet be identified, collated and appraised there currently no accepted approach creating this single source truth. This scoping review aims address globally generic problem by using State Queensland (Australia) (population > 5 million) as a use case determine (1) availability primary sources usable (2) quality identified (3) general implications policymakers. Methods The Preferred Reporting Items Systematic Review Meta-Analyses extension reviews (PRISMA-ScR) was followed. Unique search strategies were implemented ‘designed’ (e.g. surveys) ‘organic’ electronic records) sources. Only (with stratification Queensland) with evidence-based determinants included. Primary type, availability, sample size, frequency collection coverage extracted curated into an evidence map. Data qualitatively assessed. Results We 38 preventive obesity: 33 designed organic. Most survey ( n 20) or administrative 10) publicly available but generally not contemporaneous (> 2 years old) had small sizes (10-100 k) relative organic 1 M). Organic medical record (ieMR), wearables, environmental (Google Maps, Crime Map) billing/claims. on social, biomedical behavioural typically co-occurred across Environmental commercial sparse interpreted low quality. One (ieMR) highly (routinely updated), large size (5 M) represented all used decision-making in Queensland. Conclusions provides comprehensive map translatable framework identify, collate appraise advance other noncommunicable diseases. Significant challenges must addressed achieve PPH, including: harmoniously, infrastructure high-quality data, ethical social consumer-centred improve health.