TY - JOUR
T1 - Developing consensus measures for global programs
T2 - Lessons from the Global Alliance for Chronic Diseases Hypertension research program
AU - On behalf of the GACD Hypertension Research Programme
AU - Riddell, Michaela A.
AU - Edwards, Nancy
AU - Thompson, Simon R.
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 - de Villiers, Anniza
AU - He, Feng
AU - MacGregor, Graham
AU - Jan, Stephen
AU - Neal, Bruce
AU - Chow, Clara
AU - Joshi, Rohina
AU - MacMahon, Stephen
AU - Patel, Anushka
AU - Rodgers, Anthony
AU - Webster, Ruth
AU - Keat, Ng Kien
AU - Attaran, Amir
AU - Mills, Edward
AU - Muldoon, Katherine
AU - Yaya, Sanni
AU - Featherstone, Amber
AU - Mukasa, Barbara
AU - Forrest, Jamie
AU - Kalyesubula, Robert
AU - Kamwesiga, Julius
AU - Lopez, Paul Camacho
AU - Tayari, Jean Claude
AU - Lopez, Patricio
AU - Casas, Juan Lopez
AU - McKee, Martin
AU - Zainal, Ariffin Omar
AU - Yusuf, Salim
AU - Campbell, Norman
AU - Kilonzo, Kajiru
AU - Marr, Marion
AU - Yeates, Karen
AU - Feng, Xiangxian
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2017/3/15
Y1 - 2017/3/15
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
KW - Low and middle income countries
UR - http://www.scopus.com/inward/record.url?scp=85015260273&partnerID=8YFLogxK
U2 - 10.1186/s12992-017-0242-8
DO - 10.1186/s12992-017-0242-8
M3 - Artículo
C2 - 28298233
AN - SCOPUS:85015260273
SN - 1744-8603
VL - 13
JO - Globalization and Health
JF - Globalization and Health
IS - 1
M1 - 17
ER -