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Enablers and barriers for scaling up non-communicable disease interventions across diverse global health contexts: a qualitative study using the Consolidated Framework for Implementation Research

  • Zinzi Pardoel
  • , Ilona Folkertsma
  • , Anusha Ramani-Chander
  • , Amanda G. Thrift
  • , Rohina Joshi
  • , Isobel Bandurek
  • , Josefien van Olmen
  • , Abha Shrestha
  • , Lal B. Rawal
  • , Edwin Wouters
  • , Asri Maharani
  • , Peter Delobelle
  • , Hueiming Liu
  • , Michaela Theilmann
  • , Jacqui Webster
  • , Sujarwoto Sujarwoto
  • , Kamran Siddiqi
  • , Ari Probandari
  • , Vitri Widyaningsih
  • , Jaime Miranda
  • Puhong Zhang, Lisa Stehr, Lisa R. Hirschhorn, Jaap Koot, Manna Alma
  • University Medical Center Groningen
  • Monash University
  • University of New South Wales
  • Global Alliance for Chronic Diseases
  • University of Antwerp
  • Kathmandu University School of Medical Sciences
  • Dhulikhel Hospital
  • Western Sydney University
  • University of Manchester
  • University of Cape Town
  • The George Institute for Global Health
  • Faculty of Medicine
  • Heidelberg University
  • University of Brawijaya
  • University of York
  • Universitas Sebelas Maret
  • Faculty of Medicine and Health
  • The George Institute for Global Health
  • Northwestern University Feinberg School of Medicine

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Objectives To identify enablers and barriers for scaling up non-communicable disease (NCD) interventions across diverse global contexts and to map these factors to the WHO’s health system building blocks. Design A multi-method qualitative study applying the Consolidated Framework for Implementation Research to analyse data from multiple projects nearing or completing scale-up. Setting Global Alliance for Chronic Diseases-funded implementation research projects conducted across 18 low- and middle-income countries and high-income settings. Participants Data was derived from documents (n=77) including peer-reviewed publications, policy briefs, and reports and interviews with stakeholders (n=18) (eg, principal investigators, medical professionals, public health workers). Interventions Various context-specific interventions targeting sustainable scale-up of NCD (eg, diabetes, hypertension, cardiovascular disease) interventions at the community, primary care or policy levels. Primary and secondary outcome measures The primary outcome was identifying contextual enablers and barriers to intervention scale-up. Secondary outcomes included exploring how these factors aligned with health system building blocks (eg, leadership/governance, healthcare workforce). Results Twenty enablers (eg, intervention adaptability, strong stakeholder engagement, local empowerment) and 25 barriers (eg, resource limitations, intervention complexity, stakeholder burnout) were identified. Contextual alignment, supportive governance and capacity building were critical for sustainability, while cultural misalignment and socio-political instability frequently hampered scaling efforts. Conclusions Tailoring interventions to local health systems, ensuring stakeholder co-ownership and incorporating strategies to mitigate stakeholder burn-out are essential to achieving sustainable, scalable NCD solutions. Future research should focus on integrating systematic cultural adaptation, sustainable financing and workforce capacity building into scale-up planning.

Original languageEnglish
Article numbere101292
JournalBMJ Open
Volume15
Issue number12
DOIs
StatePublished - 10 Dec 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions
  4. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Cardiovascular Disease
  • Chronic Disease
  • Diabetes Mellitus, Type 2
  • Hypertension
  • Implementation Science

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