Saturday, June 15, 2024

Impactibility Modelling in Healthcare: Emerging Challenges and Opportunities

Similar articles

In recent years, the concept of impactibility modelling has gained traction as a potential tool for improving patient outcomes within the National Health Service (NHS). Despite its promise, a recent qualitative assessment has revealed that understanding of this concept remains limited among key stakeholders, including NHS analysts, policy-makers, and academics. This study aimed to elucidate the definitions, benefits, challenges, and approaches associated with impactibility modelling through a series of workshops.

Assessing Definitions and Terminology

Two workshops were conducted to explore the nuances of impactibility modelling. The first workshop focused on defining the terminology and understanding its implications through moderated open discussions. Participants were tasked with identifying potential pros and cons and determining the most relevant factors for assessment. The discussions revealed a general confusion, with impactibility often perceived as a static method for patient identification rather than a dynamic, iterative process.

Evaluating Modelling Approaches

The second workshop involved appraising five impactibility modelling approaches identified in the literature. Participants, including NHS analysts, policy-makers, and members of non-governmental think tanks, examined these approaches to understand their potential applications and limitations. Key issues highlighted included the lack of benchmarks, incomplete access to primary care data, and the importance of social factors in treatment amenability.

Overall, 37 individuals participated in the workshops, with 21 attending both sessions and the remainder attending only one. The feedback underscored the necessity for outcome and action suggestions in addition to providing raw data, and the risk of exacerbating healthcare inequalities if not implemented carefully.

Key Inferences for Stakeholders

Actionable Insights:

  • Formal planning and training are essential for successful implementation of impactibility modelling.
  • Expert groups with proficiency in handling relevant health-related real-world data should spearhead the initiative.
  • Benchmark development and comprehensive access to primary care data are critical for accurate modelling.
  • Social factors must be integrated into models to enhance treatment amenability assessments.

Despite its potential, the concept of impactibility modelling remains poorly understood among stakeholders. This study underscores the need for comprehensive education and structured implementation strategies to harness the full benefits of this emerging approach.

Original Article: BMJ Open. 2024 May 22;14(5):e067541. doi: 10.1136/bmjopen-2022-067541.

You can follow our news on our Telegram and LinkedIn accounts.

Subscribe to our newsletter

To be updated with all the latest news, offers and special announcements.

Latest article