Objective: Describe the methodological steps and benchmarks needed to utilize Intervention Mapping as a strategy to enhance Data Completeness in Rating Scales relying on input from patients, caregivers, and health professionals, typified by the MDS-UPDRS and UDysRS.

Background: Missing data seriously compromise the utility of rating scales, and several reports document that full data sets are especially challenged when ratings rely on multiple informants (patients, caregivers, health professionals). Intervention Mapping is a technique aimed to evaluate and identify targeted barriers to a given goal, then poll all key stakeholders for potential solutions, and finally field test and validate the efficacy of the selected Interventions.

Methods: We have proposed Intervention Mapping as a health promotion model to study the health-behavior changes required to address Data Completeness. The model utilizes a four-step approach to identify the problem of incomplete data (Needs Assessment) and define the person/environment contributors to the problem (Determinants) with input from all stakeholders. Intervention Mapping then develops and implements logical interventions (Intervention Identification) through Delphi panel deliberation and assesses the adaptation of the interventions by stakeholders (Implementation Assessment), leading to an evidence-based model of specific interventions required to effect the necessary health-behavior changes to reach Data Completeness before they occur.

Results: Our Delphi panel will assess all available information from literature searches, stakeholder focus groups and cognitive pretesting to conduct Needs Assessments and identify the Determinants leading to incomplete data. From this information, the Delphi panel will Identify Interventions that address these determinants. Through the use of stakeholder surveys, the Delphi panel will conduct Implementation Assessments in focused PD stakeholder to test the acceptability of the interventions.

Conclusions: Using Patient-Centered approaches to health-behavior change, implemented through Intervention Mapping, we will identify the determinants, interventions and core implementation strategies to maximize Data Completeness and develop evidence-based tools and assessment recommendations to eliminate missing values in patients with Parkinson’s disease.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/applying-intervention-mapping-methodologies-to-enhance-data-completeness-in-movement-disorders-related-scales/