# UManage Human Factors Core

> **NIH NIH P20** · UNIVERSITY OF MASSACHUSETTS AMHERST · 2020 · $40,636

## Abstract

HUMAN FACTORS CORE PROJECT SUMMARY / ABSTRACT
The UMass Center for Building the Science of Symptom Self-Management (UManage) is uniquely poised
to develop and implement new technological innovations that empower individuals with chronic
conditions to achieve a higher quality of life. For these technologies to produce desirable outcomes (e.g.,
higher quality of life), we must account for the complex contexts (i.e., sociotechnical systems) within
which these technologies will be used. The primary goal of the human factors core is to ensure that
project team members account for these sociotechnical factors in their technology designs and
evaluations, to better ensure that the technologies are useful, well-used, and produce anticipated
benefits. Human factors researchers and practitioners have a well-established framework, termed the
Systems Engineering Initiative for Patient Safety (SEIPS), for including these factors in product and
process designs. More recently, the SEIPS framework has been expanded (now SEIPS 2.0) to support
patient-centered work, such as the management of chronic conditions. Additionally, the human factors
field has myriad methods for understanding how individuals complete processes, for identifying areas of
opportunity for design, and for creating and testing prototype designs. The human factors core will
support UManage via three broad activities:
1) Guidance to pilot project research teams, to better ensure that our pilot projects succeed with respect
to human factors considerations
2) Human factors design workshops and educational materials, so the UManage team and interested
individuals at UMass and in our community have a solid understanding of the benefits of human factors
approaches, and feel competent to choose and apply specific design and evaluation approaches within
their work.
3) Guidance to the broader consumer health informatics community, to provide insight about how our
team has successfully included human factors methods in the UManage projects.

## Key facts

- **NIH application ID:** 9924653
- **Project number:** 5P20NR016599-05
- **Recipient organization:** UNIVERSITY OF MASSACHUSETTS AMHERST
- **Principal Investigator:** Jenna Louise Marquard
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $40,636
- **Award type:** 5
- **Project period:** — → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9924653

## Citation

> US National Institutes of Health, RePORTER application 9924653, UManage Human Factors Core (5P20NR016599-05). Retrieved via AI Analytics 2026-06-10 from https://api.ai-analytics.org/grant/nih/9924653. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*