Protocol for improving the costs and outcomes of assistive reproductive technology fertility care pathways: a study using cost measurement and process mining

Introduction: Value-based healthcare suggests that care outcomes should be evaluated in relation to the costs of delivering that care from the perspective of the provider. However, few providers achieve this because measuring cost is considered complex and elaborate and, further, studies routinely omit cost estimates from 'value' assessments due to lacking data. Consequently, providers are currently unable to steer towards increased value despite financial and performance pressures. This protocol describes the design, methodology and data collection process of a value measurement and process improvement study in fertility care featuring complex care paths with both long and non-linear patient journeys.

Methods and analysis: We employ a sequential study design to calculate total costs of care for patients undergoing non-surgical fertility care treatments. In doing so, we identify process improvement opportunities and cost predictors and will reflect on the benefits of the information generated for medical leaders. Time-to-pregnancy will be viewed in relation to total costs to determine value. By combining time-driven, activity-based costing with observations and process mining, we trial a method for measuring care costs for large cohorts using electronic health record data. To support this method, we create activity and process maps for all relevant treatments: ovulation induction, intrauterine insemination, in vitro fertilisation (IVF), IVF with intracytoplasmic sperm injection and frozen embryo transfer after IVF. Our study design, by showing how different sources of data can be combined to enable cost and outcome measurements, can be of value to researchers and practitioners looking to measure costs for care paths or entire patient journeys in complex care settings.

Ethics and dissemination: This study was approved by the ESHPM Research Ethics Review Committee (ETH122-0355) and the Reinier de Graaf Hospital (2022-032). Results will be disseminated through seminars, conferences and peer-reviewed publications.