TY - JOUR

T1 - ROBVALU: A tool for assessing risk of bias in studies about peoples’ values, utilities, or the importance of health outcomes

AU - Karam, Samer G.

AU - Zang, Yuan

AU - Pardo-Hernandez, Hector

AU - Siebert, Uwe

AU - Koopman, Laura

AU - Noyes, Jane

AU - Tarride, Jean-Eric

AU - Stevens, Adrienne

AU - Welch, Vivian

AU - Parkinson, Suleika Saz

AU - Ens, Brendalynn

AU - Devji, Tahira

AU - Xie, Feng

AU - Hazlewood, Glen

AU - Mbuagbaw, Lawrence

AU - Coello, Pablo Alonso

AU - Brozek, Jan L.

AU - Schünemann, Holger J.

PY - 2024/6/12

Y1 - 2024/6/12

N2 - People’s values are an important driver in healthcare decision making. The certainty of an intervention’s effect on benefits and harms relies on two factors: the certainty in the measured effect on an outcome in terms of risk difference and the certainty in its value, also known as utility or importance. The GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) working group has proposed a set of questions to assess the risk of bias in a body of evidence from studies investigating how people value outcomes. However, these questions do not address risk of bias in individual studies that, similar to risk-of-bias tools for other research studies, is required to evaluate such evidence. Thus, the Risk of Bias in studies of Values and Utilities (ROBVALU) tool was developed. ROBVALU has good psychometric properties and will be useful when assessing individual studies in measuring values, utilities, or the importance of outcomes. As such, ROBVALU can be used to assess risk of bias in studies included in systematic reviews and health guidelines. It also can support health research assessments, where the risk of bias of input variables determines the certainty in model outputs. These assessments include, for example, decision analysis and cost utility or cost effectiveness analysis for health technology assessment, health policy, and reimbursement decision making.

AB - People’s values are an important driver in healthcare decision making. The certainty of an intervention’s effect on benefits and harms relies on two factors: the certainty in the measured effect on an outcome in terms of risk difference and the certainty in its value, also known as utility or importance. The GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) working group has proposed a set of questions to assess the risk of bias in a body of evidence from studies investigating how people value outcomes. However, these questions do not address risk of bias in individual studies that, similar to risk-of-bias tools for other research studies, is required to evaluate such evidence. Thus, the Risk of Bias in studies of Values and Utilities (ROBVALU) tool was developed. ROBVALU has good psychometric properties and will be useful when assessing individual studies in measuring values, utilities, or the importance of outcomes. As such, ROBVALU can be used to assess risk of bias in studies included in systematic reviews and health guidelines. It also can support health research assessments, where the risk of bias of input variables determines the certainty in model outputs. These assessments include, for example, decision analysis and cost utility or cost effectiveness analysis for health technology assessment, health policy, and reimbursement decision making.

U2 - 10.1136/bmj-2024-079890

DO - 10.1136/bmj-2024-079890

M3 - Article

C2 - 38866410

VL - 385

JO - BMJ

JF - BMJ

SN - 0959-8138

M1 - e079890

ER -