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Bridging the “Know-Do” Gaps in Five Non-Communicable Diseases Using a Common Framework Driven by Implementation Science

ORCID Icon, , ORCID Icon, , , , ORCID Icon, , , ORCID Icon, , , & ORCID Icon show all
Pages 103-119 | Received 19 Oct 2022, Accepted 12 Apr 2023, Published online: 03 Jul 2023

Figures & data

Figure 1 Potential impacts in reducing “know-do” gaps in patients with or at risk of CVD.

Abbreviations: AF, atrial fibrillation; CV, cardiovascular; CVD, cardiovascular disease.
Figure 1 Potential impacts in reducing “know-do” gaps in patients with or at risk of CVD.

Figure 2 Leveraging the best practices framework in patients with diabetes.

Abbreviations: A1C, glycated hemoglobin; DSMES, diabetes self-management education and support.
Figure 2 Leveraging the best practices framework in patients with diabetes.

Figure 3 Transforming fragmented diabetes care into integrated and data-driven diabetes care using a team approach.

Note: Reprinted from The Lancet, 396, Chan JCN, Lim LL, Wareham NJ, et al. The Lancet Commission on diabetes: using data to transform diabetes care and patient lives, 2019–2082, Copyright 2020, with permission from Elsevier.Citation7
Abbreviations: HbA1C, glycated hemoglobin; RAS inhibitors, Renin-angiotensin system inhibitors.
Figure 3 Transforming fragmented diabetes care into integrated and data-driven diabetes care using a team approach.

Figure 4 Implementation science – categories of theories, models, and frameworks.

Figure 4 Implementation science – categories of theories, models, and frameworks.