PT - JOURNAL ARTICLE AU - Gibbs, Naomi AU - Kwon, Joseph AU - Balen, Julie AU - Dodd, Peter J TI - Operational research to support equitable non-communicable disease policy in low-income and middle-income countries in the sustainable development era: a scoping review AID - 10.1136/bmjgh-2019-002259 DP - 2020 Jun 01 TA - BMJ Global Health PG - e002259 VI - 5 IP - 6 4099 - http://gh.bmj.com/content/5/6/e002259.short 4100 - http://gh.bmj.com/content/5/6/e002259.full SO - BMJ Global Health2020 Jun 01; 5 AB - Introduction Non-communicable diseases (NCDs) represent a growing health burden in low-income and middle-income countries (LMICs). Operational research (OR) has been used globally to support the design of effective and efficient public policies. Equity is emphasised in the Sustainable Development Goal (SDG) framework introduced in 2015 and can be analysed within OR studies.Methods We systematically searched MEDLINE, Embase, Scopus and Web of Science for studies published between 2015 and 2018 at the intersection of five domains (OR, LMICs, NCDs, health and decision-making and/or policy-making). We categorised the type of policy intervention and described any concern for equity, which we defined as either analysis of differential impact by subgroups or, policy focus on disadvantaged groups or promoting universal health coverage (UHC).Results A total of 149 papers met the inclusion criteria. The papers covered a number of policy types and a broad range of NCDs, although not in proportion to their relative disease burden. A concern for equity was demonstrated by 88 of the 149 papers (59%), with 8 (5%) demonstrating differential impact, 47 (32%) targeting disadvantaged groups, and 68 (46%) promoting UHC.Conclusion Overall, OR for NCD health policy in the SDG era is being applied to a diverse set of interventions and conditions across LMICs and researchers appear to be concerned with equity. However, the current focus of published research does not fully reflect population needs and the analysis of differential impact within populations is rare.