Developing consensus measures for global programs

Lessons from the Global Alliance for Chronic Diseases Hypertension research program

Michaela A. Riddell, Nancy Edwards, Antonio Bernabe-Ortiz, Devarsetty Praveen, Claire Johnson, Andre P. Kengne, Peter Liu, Tara McCready, Eleanor Ng, Robby Nieuwlaat, Bruce Ovbiagele, Mayowa Owolabi, David Peiris, Amanda G. Thrift, Sheldon Tobe, Khalid Yusoff, GACD Hypertension Research Programme, Stephane Heritier

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

Background: The imperative to improve global health has prompted transnational research partnerships to investigate common health issues on a larger scale. The Global Alliance for Chronic Diseases (GACD) is an alliance of national research funding agencies. To enhance research funded by GACD members, this study aimed to standardise data collection methods across the 15 GACD hypertension research teams and evaluate the uptake of these standardised measurements. Furthermore we describe concerns and difficulties associated with the data harmonisation process highlighted and debated during annual meetings of the GACD funded investigators. With these concerns and issues in mind, a working group comprising representatives from the 15 studies iteratively identified and proposed a set of common measures for inclusion in each of the teams' data collection plans. One year later all teams were asked which consensus measures had been implemented. Results: Important issues were identified during the data harmonisation process relating to data ownership, sharing methodologies and ethical concerns. Measures were assessed across eight domains; demographic; dietary; clinical and anthropometric; medical history; hypertension knowledge; physical activity; behavioural (smoking and alcohol); and biochemical domains. Identifying validated measures relevant across a variety of settings presented some difficulties. The resulting GACD hypertension data dictionary comprises 67 consensus measures. Of the 14 responding teams, only two teams were including more than 50 consensus variables, five teams were including between 25 and 50 consensus variables and four teams were including between 6 and 24 consensus variables, one team did not provide details of the variables collected and two teams did not include any of the consensus variables as the project had already commenced or the measures were not relevant to their study. Conclusions: Deriving consensus measures across diverse research projects and contexts was challenging. The major barrier to their implementation was related to the time taken to develop and present these measures. Inclusion of consensus measures into future funding announcements would facilitate researchers integrating these measures within application protocols. We suggest that adoption of consensus measures developed here, across the field of hypertension, would help advance the science in this area, allowing for more comparable data sets and generalizable inferences.

Original languageEnglish
Article number17
Number of pages12
JournalGlobalization and Health
Volume13
Issue number1
DOIs
Publication statusPublished - 15 Mar 2017

Keywords

  • Consensus Measures
  • Hypertension
  • Implementation
  • Implementation Context
  • Low and middle income countries

Cite this

Riddell, Michaela A. ; Edwards, Nancy ; Bernabe-Ortiz, Antonio ; Praveen, Devarsetty ; Johnson, Claire ; Kengne, Andre P. ; Liu, Peter ; McCready, Tara ; Ng, Eleanor ; Nieuwlaat, Robby ; Ovbiagele, Bruce ; Owolabi, Mayowa ; Peiris, David ; Thrift, Amanda G. ; Tobe, Sheldon ; Yusoff, Khalid ; GACD Hypertension Research Programme ; Heritier, Stephane. / Developing consensus measures for global programs : Lessons from the Global Alliance for Chronic Diseases Hypertension research program. In: Globalization and Health. 2017 ; Vol. 13, No. 1.
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abstract = "Background: The imperative to improve global health has prompted transnational research partnerships to investigate common health issues on a larger scale. The Global Alliance for Chronic Diseases (GACD) is an alliance of national research funding agencies. To enhance research funded by GACD members, this study aimed to standardise data collection methods across the 15 GACD hypertension research teams and evaluate the uptake of these standardised measurements. Furthermore we describe concerns and difficulties associated with the data harmonisation process highlighted and debated during annual meetings of the GACD funded investigators. With these concerns and issues in mind, a working group comprising representatives from the 15 studies iteratively identified and proposed a set of common measures for inclusion in each of the teams' data collection plans. One year later all teams were asked which consensus measures had been implemented. Results: Important issues were identified during the data harmonisation process relating to data ownership, sharing methodologies and ethical concerns. Measures were assessed across eight domains; demographic; dietary; clinical and anthropometric; medical history; hypertension knowledge; physical activity; behavioural (smoking and alcohol); and biochemical domains. Identifying validated measures relevant across a variety of settings presented some difficulties. The resulting GACD hypertension data dictionary comprises 67 consensus measures. Of the 14 responding teams, only two teams were including more than 50 consensus variables, five teams were including between 25 and 50 consensus variables and four teams were including between 6 and 24 consensus variables, one team did not provide details of the variables collected and two teams did not include any of the consensus variables as the project had already commenced or the measures were not relevant to their study. Conclusions: Deriving consensus measures across diverse research projects and contexts was challenging. The major barrier to their implementation was related to the time taken to develop and present these measures. Inclusion of consensus measures into future funding announcements would facilitate researchers integrating these measures within application protocols. We suggest that adoption of consensus measures developed here, across the field of hypertension, would help advance the science in this area, allowing for more comparable data sets and generalizable inferences.",
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author = "Riddell, {Michaela A.} and Nancy Edwards and Antonio Bernabe-Ortiz and Devarsetty Praveen and Claire Johnson and Kengne, {Andre P.} and Peter Liu and Tara McCready and Eleanor Ng and Robby Nieuwlaat and Bruce Ovbiagele and Mayowa Owolabi and David Peiris and Thrift, {Amanda G.} and Sheldon Tobe and Khalid Yusoff and {GACD Hypertension Research Programme} and Simin Arabshahi and Roger Evans and Ajay Mahal and Brian Oldenburg and Velandai Srikanth and Oduru Suresh and Stephane Heritier",
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Riddell, MA, Edwards, N, Bernabe-Ortiz, A, Praveen, D, Johnson, C, Kengne, AP, Liu, P, McCready, T, Ng, E, Nieuwlaat, R, Ovbiagele, B, Owolabi, M, Peiris, D, Thrift, AG, Tobe, S, Yusoff, K, GACD Hypertension Research Programme & Heritier, S 2017, 'Developing consensus measures for global programs: Lessons from the Global Alliance for Chronic Diseases Hypertension research program', Globalization and Health, vol. 13, no. 1, 17. https://doi.org/10.1186/s12992-017-0242-8, https://doi.org/DOI: 10.1186/s12992-017-0242-8

Developing consensus measures for global programs : Lessons from the Global Alliance for Chronic Diseases Hypertension research program. / Riddell, Michaela A.; Edwards, Nancy; Bernabe-Ortiz, Antonio; Praveen, Devarsetty; Johnson, Claire; Kengne, Andre P.; Liu, Peter; McCready, Tara; Ng, Eleanor; Nieuwlaat, Robby; Ovbiagele, Bruce; Owolabi, Mayowa; Peiris, David; Thrift, Amanda G.; Tobe, Sheldon; Yusoff, Khalid; GACD Hypertension Research Programme ; Heritier, Stephane.

In: Globalization and Health, Vol. 13, No. 1, 17, 15.03.2017.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Developing consensus measures for global programs

T2 - Lessons from the Global Alliance for Chronic Diseases Hypertension research program

AU - Riddell, Michaela A.

AU - Edwards, Nancy

AU - Bernabe-Ortiz, Antonio

AU - Praveen, Devarsetty

AU - Johnson, Claire

AU - Kengne, Andre P.

AU - Liu, Peter

AU - McCready, Tara

AU - Ng, Eleanor

AU - Nieuwlaat, Robby

AU - Ovbiagele, Bruce

AU - Owolabi, Mayowa

AU - Peiris, David

AU - Thrift, Amanda G.

AU - Tobe, Sheldon

AU - Yusoff, Khalid

AU - GACD Hypertension Research Programme

AU - Arabshahi, Simin

AU - Evans, Roger

AU - Mahal, Ajay

AU - Oldenburg, Brian

AU - Srikanth, Velandai

AU - Suresh, Oduru

AU - Heritier, Stephane

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N2 - Background: The imperative to improve global health has prompted transnational research partnerships to investigate common health issues on a larger scale. The Global Alliance for Chronic Diseases (GACD) is an alliance of national research funding agencies. To enhance research funded by GACD members, this study aimed to standardise data collection methods across the 15 GACD hypertension research teams and evaluate the uptake of these standardised measurements. Furthermore we describe concerns and difficulties associated with the data harmonisation process highlighted and debated during annual meetings of the GACD funded investigators. With these concerns and issues in mind, a working group comprising representatives from the 15 studies iteratively identified and proposed a set of common measures for inclusion in each of the teams' data collection plans. One year later all teams were asked which consensus measures had been implemented. Results: Important issues were identified during the data harmonisation process relating to data ownership, sharing methodologies and ethical concerns. Measures were assessed across eight domains; demographic; dietary; clinical and anthropometric; medical history; hypertension knowledge; physical activity; behavioural (smoking and alcohol); and biochemical domains. Identifying validated measures relevant across a variety of settings presented some difficulties. The resulting GACD hypertension data dictionary comprises 67 consensus measures. Of the 14 responding teams, only two teams were including more than 50 consensus variables, five teams were including between 25 and 50 consensus variables and four teams were including between 6 and 24 consensus variables, one team did not provide details of the variables collected and two teams did not include any of the consensus variables as the project had already commenced or the measures were not relevant to their study. Conclusions: Deriving consensus measures across diverse research projects and contexts was challenging. The major barrier to their implementation was related to the time taken to develop and present these measures. Inclusion of consensus measures into future funding announcements would facilitate researchers integrating these measures within application protocols. We suggest that adoption of consensus measures developed here, across the field of hypertension, would help advance the science in this area, allowing for more comparable data sets and generalizable inferences.

AB - Background: The imperative to improve global health has prompted transnational research partnerships to investigate common health issues on a larger scale. The Global Alliance for Chronic Diseases (GACD) is an alliance of national research funding agencies. To enhance research funded by GACD members, this study aimed to standardise data collection methods across the 15 GACD hypertension research teams and evaluate the uptake of these standardised measurements. Furthermore we describe concerns and difficulties associated with the data harmonisation process highlighted and debated during annual meetings of the GACD funded investigators. With these concerns and issues in mind, a working group comprising representatives from the 15 studies iteratively identified and proposed a set of common measures for inclusion in each of the teams' data collection plans. One year later all teams were asked which consensus measures had been implemented. Results: Important issues were identified during the data harmonisation process relating to data ownership, sharing methodologies and ethical concerns. Measures were assessed across eight domains; demographic; dietary; clinical and anthropometric; medical history; hypertension knowledge; physical activity; behavioural (smoking and alcohol); and biochemical domains. Identifying validated measures relevant across a variety of settings presented some difficulties. The resulting GACD hypertension data dictionary comprises 67 consensus measures. Of the 14 responding teams, only two teams were including more than 50 consensus variables, five teams were including between 25 and 50 consensus variables and four teams were including between 6 and 24 consensus variables, one team did not provide details of the variables collected and two teams did not include any of the consensus variables as the project had already commenced or the measures were not relevant to their study. Conclusions: Deriving consensus measures across diverse research projects and contexts was challenging. The major barrier to their implementation was related to the time taken to develop and present these measures. Inclusion of consensus measures into future funding announcements would facilitate researchers integrating these measures within application protocols. We suggest that adoption of consensus measures developed here, across the field of hypertension, would help advance the science in this area, allowing for more comparable data sets and generalizable inferences.

KW - Consensus Measures

KW - Hypertension

KW - Implementation

KW - Implementation Context

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