| Literature DB >> 33259517 |
Benson Njuguna1,2, Sara L Fletcher3, Constantine Akwanalo2, Kwaku Poku Asante4, Ana Baumann5, Angela Brown6, Victor G Davila-Roman6, Julia Dickhaus7, Meredith Fort8, Juliet Iwelunmor9, Vilma Irazola10, Sailesh Mohan11,12, Vincent Mutabazi13, Brad Newsome14, Olugbenga Ogedegbe7, Sonak D Pastakia15,16,17, Emmanuel K Peprah18, Jacob Plange-Rhule19, Gregory Roth20, Archana Shrestha21, David A Watkins22, Rajesh Vedanthan7.
Abstract
Non-communicable disease (NCD) prevention efforts have traditionally targeted high-risk and high-burden populations. We propose an alteration in prevention efforts to also include emphasis and focus on low-risk populations, predominantly younger individuals and low-prevalence populations. We refer to this approach as "proactive prevention." This emphasis is based on the priority to put in place policies, programs, and infrastructure that can disrupt the epidemiological transition to develop NCDs among these groups, thereby averting future NCD crises. Proactive prevention strategies can be classified, and their implementation prioritized, based on a 2-dimensional assessment: impact and feasibility. Thus, potential interventions can be categorized into a 2-by-2 matrix: high impact/high feasibility, high impact/low feasibility, low impact/high feasibility, and low impact/low feasibility. We propose that high impact/high feasibility interventions are ready to be implemented (act), while high impact/low feasibility interventions require efforts to foster buy-in first. Low impact/high feasibility interventions need to be changed to improve their impact while low impact/low feasibility might be best re-designed in the context of limited resources. Using this framework, policy makers, public health experts, and other stakeholders can more effectively prioritize and leverage limited resources in an effort to slow or prevent the evolving global NCD crisis.Entities:
Year: 2020 PMID: 33259517 PMCID: PMC7707577 DOI: 10.1371/journal.pone.0243004
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Deaths per 100,000 attributed to NCD risk factors, stratified by socio-demographic index (SDI) [6].
The potential for proactive prevention in relatively lower-burden populations is highlighted.
Fig 2Global death rate attributed to metabolic risk factors stratified by age [6].
The potential for proactive prevention relatively lower-burden individuals at younger ages is highlighted.
Fig 3Impact and feasibility framework, illustrating the four graded categories of proactive prevention strategies: Act, buy in, change, re-design.