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Related Experiment Videos

Developing consensus measures for global programs: lessons from the Global Alliance for Chronic Diseases Hypertension

Michaela A Riddell1, Nancy Edwards2, Simon R Thompson3

  • 1Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia. Michaela.riddell@monash.edu.

Globalization and Health
|March 17, 2017
PubMed

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Summary

Standardizing data collection for global hypertension research proved challenging. While a common data dictionary was developed, uptake varied significantly among research teams, highlighting implementation barriers.

Area of Science:

  • Global Health
  • Chronic Disease Research
  • Hypertension Studies

Background:

  • Transnational research partnerships are crucial for addressing global health challenges.
  • The Global Alliance for Chronic Diseases (GACD) unites national research funding agencies.
  • This study focused on standardizing data collection within GACD hypertension research teams.

Purpose of the Study:

  • To standardize data collection methods across 15 GACD hypertension research teams.
  • To evaluate the adoption rate of these standardized measurements.
  • To identify challenges in data harmonization for global health research.

Main Methods:

  • A working group iteratively developed a set of common measures for data collection.
  • Measures were assessed across demographic, dietary, clinical, behavioral, and biochemical domains.
Keywords:
Consensus MeasuresHypertensionImplementationImplementation ContextLow and middle income countries

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  • Data harmonization concerns, including ownership and ethics, were discussed.

    • Main Results:

    • A GACD hypertension data dictionary with 67 consensus measures was created.
    • Implementation varied: two teams adopted >50 measures, five adopted 25-50, and four adopted 6-24.
    • Two teams implemented none of the consensus measures due to project timing or relevance.

    Conclusions:

    • Developing consensus measures across diverse research projects presented significant challenges.
    • Time constraints for developing and presenting measures were a major implementation barrier.
    • Integrating consensus measures into future funding would enhance data comparability and generalizability in hypertension research.