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The PICOTS-ComTeC Framework for Defining Digital Health Interventions: An ISPOR Special Interest Group Report
Zsombor Zrubka1, Annette Champion2, Anke-Peggy Holtorf3
1Health Economics Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary.
A new framework, PICOTS-ComTeC, was developed to clearly define patient-facing digital health interventions (DHIs) for research. This tool aids in selecting appropriate interventions and comparators for better outcomes research.
Area of Science:
- Digital Health
- Health Informatics
- Outcomes Research
Background:
- Digital health interventions (DHIs) lack standardized definitions, hindering clarity in outcomes research.
- Existing definitions of digital health terms (DHTs) are numerous but imprecise.
- A systematic review and expert consensus were needed to establish a clear framework.
Purpose of the Study:
- To develop a minimum information framework for defining patient-facing digital health interventions (DHIs).
- To enhance precision and clarity in the reporting of DHIs for outcomes research.
- To create a standardized tool for identifying appropriate DHIs and comparators.
Main Methods:
- Systematic review of DHT definitions followed by content analysis.
- Application of frameworks including PICOTS, Shannon-Weaver, AHRQ Measures, and WHO Classification.
- Online Delphi study with experts to establish a minimum information framework, pilot-tested with hypothetical cases.
Main Results:
- Identified 101 unique definitions for 67 DHTs, revealing 95 different concept patterns.
- Most frequent concepts included WHO system (84.5%), message (75.7%), intervention (58.3%), and technology (52.4%).
- The Delphi study resulted in the PICOTS-ComTeC framework, comprising 9 domains and 32 subcategories.
Conclusions:
- PICOTS-ComTeC provides a standardized method for specifying patient-facing DHIs.
- This framework facilitates the selection of appropriate interventions and comparators in decision-making.
- PICOTS-ComTeC is a versatile tool for researchers and clinicians to improve study design and reporting.
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