Open AccessA tool for assessing the comprehensiveness of outcome reporting within clinical trials in pregnancy
Author(s) -
Lim Justin W. J.,
Lor Kar Y.,
D'Souza Rohan
Publication year - 2021
Publication title -
acta obstetricia et gynecologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 102
eISSN - 1600-0412
pISSN - 0001-6349
DOI - 10.1111/aogs.14072
Subject(s) - medicine , clinical trial , context (archaeology) , outcome (game theory) , population , medline , pregnancy , intensive care medicine , paleontology , genetics , mathematics , environmental health , mathematical economics , political science , law , biology
Clinical trials provide fundamental evidence used to inform healthcare decisions at patient‐ and population levels and it is thus important that trials consider outcomes relevant to both patients and stakeholders. Although validated tools assessing other aspects of trial integrity exist, there is no tool for assessing the breadth and completeness of outcomes measured. Our objective was to develop a comprehensiveness of outcome reporting (COR) tool to assess this within trials in pregnancy. Material and methods We developed a tool that aids in visualizing outcome reporting through the automatic generation of a heatmap, enabling assessment of the range of maternal and fetal/neonatal outcomes included in clinical trials. Outcome reporting and measurement of each study is compared to a context‐specific, user‐determined, ideal standard set of outcomes, created by initially considering all domains within five core outcome areas. These include mortality, morbidity, functioning/life‐impact, resource‐use, and adverse events, as identified by the most recent taxonomy for outcomes in medical research. We tested the tool’s functionality using trials previously identified as studies on obesity in pregnant patients, and further compared the utility of the COR Tool against Cochrane’s Risk of Bias 2.0 Tool using correlational analysis. Results The pilot heatmap using clinical trials studying obesity in pregnancy (n = 15), illustrated a lack of comprehensiveness of reported outcomes in the majority of studies. Included trials were found to readily report physiological/clinical outcome but consistently neglected outcome areas related to functioning, delivery of care, resource‐use, and adverse events. Outcome areas reported and measured were done so with largely varying degrees of quality. When the COR Tool was compared with Cochrane’s RoB 2.0 Tool on a scatter plot, only a weak correlation was found ( R = 0.2936, R 2 = 0.0862) Conclusions The COR Tool will promote transparency in clarifying what outcomes a trial’s conclusions are based on, encourage trialists to consider outcomes related to all aspects of maternal and fetal/neonatal health, and support reviewers in appraising outcome reporting and measurement in the assessment of trial integrity. Used in tandem with RoB tools and core outcome sets, we hope the COR Tool will meaningfully contribute to improving maternal‐infant health.