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Accepted for/Published in: JMIR Human Factors

Date Submitted: Feb 3, 2021
Date Accepted: Sep 6, 2021

The final, peer-reviewed published version of this preprint can be found here:

A Novel Method for Digital Pain Assessment Using Abstract Animations: Human-Centered Design Approach

Perdomo S, Rao N, Jonassaint C

A Novel Method for Digital Pain Assessment Using Abstract Animations: Human-Centered Design Approach

JMIR Hum Factors 2022;9(1):e27689

DOI: 10.2196/27689

PMID: 34994697

PMCID: 8783278

A Novel Method for Digital Pain Assessment Using Abstract Animations: A Human-Centered Design Approach

  • Sophy Perdomo; 
  • Nema Rao; 
  • Charles Jonassaint

ABSTRACT

Background:

Patients with chronic pain face several challenges in using clinical tools to help them monitor, understand, and make meaningful decisions about their pain conditions. Our group previously presented data on Painimation, a novel electronic tool for communicating and assessing pain.

Objective:

This study aimed to describe the human-centered design and development approach (inspiration, ideation, and implementation) that led to the creation of Painimation.

Methods:

We planned an iterative and cyclical development process that included stakeholder engagement and feedback from users. Stakeholders included patients with acute and chronic pain, health care providers, and design students. Target users consisted of anyone with acute or chronic pain needing clinical assessment and tracking the course of their pain over time. Phase I (inspiration) consisted of empathizing with users, understanding how patients experience pain, and identifying the barriers to accurately expressing and assessing pain. This phase involved understanding how patients communicate pain symptoms to providers, as well as defining limitations of current models of clinical pain assessment tools. In Phase II (ideate) we conceptualized and evaluated different approaches to expressing and assessing pain. The most promising concept was developed through an iterative process that involved end-users and stakeholders. In Phase III (implementation), based on stakeholder feedback from initial designs and prototypes of painimations, we incorporated all concepts to test a minimally viable product, a fully functioning pain assessment app. We then gathered feedback through an agile development process and applied this feedback to finalizing a testable version of the app that could ultimately be used in a pain clinic.

Results:

Engaging intended users and stakeholders into an iterative human-centered design process identified five criteria that a pain assessment tool would need to meet to be effective in the medical setting. These criteria were used as guiding design principles to generate a series of pain assessment concept ideas. This human-centered approach generated eight highly visual abstract pain animations (“painimations”) which were found to be acceptable and useable for communicating pain with medical providers, both by patients with general pain as well as patients with sickle cell disease. While these initial steps continued refinement of the tool, further data is needed. Agile development will allow us to continue to incorporate precision medicine tools, as these are validated in the clinical research arena.

Conclusions:

A multiphase, human-centered design approach successfully resulted in the development of an innovation that has potential to improve the quality medical care, particularly for underserved populations. The use of Painimations may especially benefit the medical care of minority populations with chronic and difficult to treat pain, such as adults with sickle cell disease. The insights generated from this study can be applied to the development of patient reported outcomes tools that are more patient-centered, engaging, and effective.


 Citation

Please cite as:

Perdomo S, Rao N, Jonassaint C

A Novel Method for Digital Pain Assessment Using Abstract Animations: Human-Centered Design Approach

JMIR Hum Factors 2022;9(1):e27689

DOI: 10.2196/27689

PMID: 34994697

PMCID: 8783278

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