TY - JOUR
T1 - Reporting of health equity considerations in equity-relevant observational studies
T2 - Protocol for a systematic assessment
AU - Dewidar, Omar
AU - Rader, Tamara
AU - Waddington, Hugh
AU - Nicholls, Stuart G.
AU - Little, Julian
AU - Hardy, Billie Jo
AU - Horsley, Tanya
AU - Young, Taryn
AU - Cuervo, Luis Gabriel
AU - Sharp, Melissa K.
AU - Chamberlain, Catherine
AU - Shea, Beverley
AU - Craig, Peter
AU - Lawson, Daeria O.
AU - Rizvi, Anita
AU - Wiysonge, Charles Shey
AU - Kredo, Tamara
AU - Nguliefem, Miriam Nkangu
AU - Ghogomu, Elizabeth
AU - Francis, Damian
AU - Kristjansson, Elizabeth
AU - Bhutta, Zulfiqar
AU - Martin, Alba Antequera
AU - Melendez-Torres, G. J.
AU - Pantoja, Tomas
AU - Wang, Xiaoqin
AU - Jull, Janet
AU - Roberts, Janet Hatcher
AU - Funnell, Sarah
AU - White, Howard
AU - Krentel, Alison
AU - Mahande, Michael Johnson
AU - Ramke, Jacqueline
AU - Wells, George A.
AU - Petkovic, Jennifer
AU - Tugwell, Peter
AU - Pottie, Kevin
AU - Mbuagbaw, Lawrence
AU - Welch, Vivian
N1 - Funding Information:
This work was supported by the Canadian Institutes of Health Research (CIHR), grant number 173269.
Publisher Copyright:
Copyright: © 2022 Dewidar O et al.
PY - 2022
Y1 - 2022
N2 - Background: The mitigation of unfair and avoidable differences in health is an increasing global priority. Observational studies including cohort, cross-sectional and case-control studies tend to report social determinants of health which could inform evidence syntheses on health equity and social justice. However, the extent of reporting and analysis of equity in equity-relevant observational studies is unknown. Methods: We define studies which report outcomes for populations at risk of experiencing inequities as “equity-relevant”. Using a random sampling technique we will identify 320 equity-relevant observational studies published between 1 January 2020 to 27 April 2022 by searching the MEDLINE database. We will stratify sampling by 1) studies in high-income countries (HIC) and low- and middle-income countries (LMIC) according to the World Bank classification, 2) studies focused on COVID and those which are not, 3) studies focused on populations at risk of experiencing inequities and those on general populations that stratify their analyses. We will use the PROGRESS framework which stands for place of residence, race or ethnicity, occupation, gender or sex, religion, education, socioeconomic status, social capital, to identify dimensions where inequities may exist. Using a previously developed data extraction form we will pilot-test on eligible studies and revise as applicable. Conclusions: The proposed methodological assessment of reporting will allow us to systematically understand the current reporting and analysis practices for health equity in observational studies. The findings of this study will help inform the development of the equity extension for the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) reporting guidelines.
AB - Background: The mitigation of unfair and avoidable differences in health is an increasing global priority. Observational studies including cohort, cross-sectional and case-control studies tend to report social determinants of health which could inform evidence syntheses on health equity and social justice. However, the extent of reporting and analysis of equity in equity-relevant observational studies is unknown. Methods: We define studies which report outcomes for populations at risk of experiencing inequities as “equity-relevant”. Using a random sampling technique we will identify 320 equity-relevant observational studies published between 1 January 2020 to 27 April 2022 by searching the MEDLINE database. We will stratify sampling by 1) studies in high-income countries (HIC) and low- and middle-income countries (LMIC) according to the World Bank classification, 2) studies focused on COVID and those which are not, 3) studies focused on populations at risk of experiencing inequities and those on general populations that stratify their analyses. We will use the PROGRESS framework which stands for place of residence, race or ethnicity, occupation, gender or sex, religion, education, socioeconomic status, social capital, to identify dimensions where inequities may exist. Using a previously developed data extraction form we will pilot-test on eligible studies and revise as applicable. Conclusions: The proposed methodological assessment of reporting will allow us to systematically understand the current reporting and analysis practices for health equity in observational studies. The findings of this study will help inform the development of the equity extension for the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) reporting guidelines.
KW - Observational studies
KW - health equity
KW - research methodology
KW - research reporting
KW - study design
UR - http://www.scopus.com/inward/record.url?scp=85138165449&partnerID=8YFLogxK
U2 - 10.12688/f1000research.122185.1
DO - 10.12688/f1000research.122185.1
M3 - Article
AN - SCOPUS:85138165449
SN - 2046-1402
VL - 11
JO - F1000Research
JF - F1000Research
M1 - 615
ER -