105
Views
11
CrossRef citations to date
0
Altmetric
Original Research

Human factors evaluation of a novel digital medicine system in psychiatry

, , , &
Pages 553-565 | Published online: 16 Feb 2018

Figures & data

Figure 1 Information components and data communication.

Notes: Profit D, Rohatagi S, Zhao C, Hatch A, Docherty JP, Peters-Strickland TS. Developing a digital medicine system in psychiatry: ingestion detection rate and latency period. The Journal of Clinical Psychiatry. Volume 77(9). Pages e1095–e1100. Copyright 2016. Reprinted with permission.Citation13
Abbreviations: HCP, health care provider; IEM, ingestible event marker; MDDS, Medical Device Data System.
Figure 1 Information components and data communication.

Figure 2 Steps in (A) human factors studies overall and (B) in risk analysis.

Notes: Six formative human factors studies were conducted on the patient interface and one on the HCP and caregiver interface. One validation study was conducted on the patient interface and one on the HCP and caregiver interface. The risk analysis was conducted in accordance with FDA recommendations and FDA-recognized standards on human factors and usability engineering of medical devices.Citation20,Citation21 Adapted from US Department of Health and Human Services. Draft guidance for industry and Food and Drug Administration staff: applying human factors and usability engineering to medical devices to optimize safety and effectiveness in design. Available from: https://www.fda.gov/downloads/MedicalDevices/.../UCM259760.pdf. Accessed July 11, 2017.Citation21
Abbreviations: ALARP, as low as reasonably practical; DMS, digital medicine system; FDA, US Food and Drug Administration; HCP, health care provider; NAC, not acceptable; RAC, risk analysis code; TOL, tolerable; uFMEA, use failure mode and effect analysis.
Figure 2 Steps in (A) human factors studies overall and (B) in risk analysis.

Table 1 Overview of human factors studies

Table 2 Examples of formative study findings and corresponding design modifications to the patient interface

Table 3 Performance assessment for tasks in the validation study of patient interface

Figure 3 Reduction in the percentage of failures on performance tasks and knowledge assessments during human factors testing of the patient interface.

Notes: Percentages for unassisted user group were calculated as follows: number of failures on user tasks and knowledge assessments divided by the total number of opportunities for failure (ie, total number of attempts). The numbers for each study were as follows: Formative 4, 71/586; Formative 5a, 29/304; Formative 5b, 16/297; Formative 5c, 13/378; Formative 6, 4/303; and Validation 2017, 11/710.
Figure 3 Reduction in the percentage of failures on performance tasks and knowledge assessments during human factors testing of the patient interface.

Table S1 Examples of user tasks tested in formative studies of patient interface

Table S2 Cautionary statements with a potential for serious or higher severity harm evaluated in the validation study

Table S3 App messaging evaluated in the validation study