Aging
Conditions
Brief summary
The demographics of the U.S. prison population are shifting at a dramatic rate requiring new approaches to prison healthcare. Current estimates suggest that there are 2.3 million incarcerated persons in the U.S. Similar to the free world, the aging of the Baby Boom generation is occurring in prisons. Notably, inmates 50 and older constitute over 20% of prisoners in state or federal facilities. From 1996-2016, there was an 280% growth in the number of state and federal prisoners age 55 or older, which is in sharp contrast to younger inmates that grew by only 3% during this time period. A surge in older adult offenders in the U.S. has not occurred but rather statutes now impose stiffer sentences, resulting in longer periods of incarceration, such as life without parole or 20+ years. At the same time, early release policies remain restrictive. As a result, sentenced offenders are living through middle and older adulthood within the confines of prisons.
Detailed description
There are over 1,719 United States (US) state and federal prisons with over 2.3 million prisoners. In 2017, more than 20% of sentenced prisoners were age 50 or older. The health status of older inmates is often parallel with free-living people who are far older (e.g., 10-15 years). Older prisoners disproportionately contribute to the steeply rising correctional healthcare costs and their death rate is 10 times that of younger prisoners. Corrections budgets are stretched as they strive to meet the care needs of aged and dying prisoners. Carefully selected and vetted inmates offer an abundant human resource that is poised to contribute in important ways to augment prison staff in meeting growing care needs of older and dying inmates. However, the lack of standardized, evidence-based, training that is geared toward this target audience is a current barrier to ensuring high quality inmate caregiving. In response to this need, our Phase I project E-training of Inmate Peer Caregivers for Enhancing Geriatric and End-of-Life Care in Prisons demonstrated that inmate access to technology is growing and inmates can be successful e-learners. Specifically, we learned: (1) there is a need and interest for products such as our Inmates Care computer-based learning (CBL); (2) trainings should be engaging, interactive, and contextually sensitive to the specific environment, target user, and security constraints, while at the same time being mindful of emerging trends in regard to technology use by inmates (e.g., availability of tablets for purchase and use in many states); and finally, (3) that interactive, media-rich prototype modules with high acceptability and usability could be developed. The specifications document and commercialization plan indicated it is possible to develop a full-scale Inmates Care learning system in Phase II and a Technology Niche Analyses® revealed market potential exists. The purpose of this Phase II application is to continue research and development of the Inmates Care learning system with an emphasis on developing a scalable unit for commercialization and testing scale-up in a larger number of more diverse state prisons. More specifically, the aims of this Phase II study are to: 1) Develop a full scale media-rich interactive computer-based learning system Inmates Care, that consists of six modules aimed at augmenting the highly variable face-to-face inmate caregiving programs in state prisons with standardized, evidence-based training to prepare inmates in assisting with end-of-life (EOL) and geriatric care; and one Training Overview and Rollout module that prepares staff to use Inmates Care as a tool for inmate peer caregiver training; 2) Conduct in-person usability testing of the full-scale Inmates Care program in two rounds in state prisons to evaluate logistics, inmate and staff impressions, user interface, ease of use, and perceived barriers in order to optimize the scalable unit for broader dissemination (n=30); and 3) Test scale-up of the full-scale Inmates Care program in state prisons across the nation to evaluate knowledge acquisition outcomes, usage patterns, and commercialization opportunities (n=288).
Interventions
The single intervention is a computer-based learning program.
Sponsors
Study design
Intervention model description
Cognitive interviews and small-scale usability will be conducted prior to conducting the full-scale testing. The full-scale learning system (6 learning modules for inmates; 1 learning module for staff) will be tested in 12 state prison settings. We plan to use a pragmatic approach. Targeted participants to test the inmate-focused modules will include both current Inmate Peer Caregivers and inmates who are naïve to the caregiving role in prison. Staff participants to test the staff-focused module include, but are not limited to security, chaplaincy, medical services, psychology/counseling, and administrative leaders. The number of user-participants is dependent on the institution's size, but our target is to recruit 12 sites (three of which will be women's prisons) and an average of 20 inmates per site (n=240 inmates) to test the six modules that are developed for inmates and an average of four prison staff per site (n=48) to test the one module for staff.
Eligibility
Inclusion criteria
Inmate Peer Caregivers: 1. providing geriatric and/or EOL care at participating state prison (Aims 1 and 2 only); 2. age \>18; 3. able to speak and understand English; and 4. able to consent.
Exclusion criteria
1. Under the age of 18 2. Unable to speak and understand English Prison Staff: Inclusion Criteria: 1. age \>18; 2. able to speak and understand English; 3. able to consent; and 4. have been exposed to inmate peer caregiving (e.g., through training them, oversight of a peer caregiving program, or working with inmate peer caregivers in the infirmary, personal care, or hospice area of prisons)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Small-Scale Virtual Usability Testing - SUS Survey (System Usability Test) | Immediate post small-scale usability testing | Small-scale virtual usability testing participants were asked to complete the 10-item System Usability Test. The SUS, an industry-standard, assesses usability, including satisfaction, functionality, ease of use, and design. Items are rated on a 5-point Likert scale ranging from 0 (Strongly Disagree) to 4 (Strongly Agree) and were summed and multiplied by 2.5 to compute a total scale score. The minimum value is 0 and the maximum value is 100. The means of the Likert response items are calculated to determine the SUS score. The range of scores on the System Usability Scale (SUS) is 0-100. A score of 68 or greater reflects above average usability. Higher scores reflect greater usability. |
| Large-Scale Usability Testing - SUS Survey (System Usability Test) | Immediate post large-scale usability testing | Large-scale testing participants were asked to complete the 10-item System Usability Test. The SUS, an industry-standard, assesses usability, including satisfaction, functionality, ease of use, and design. Items are rated on a 5-point Likert scale ranging from 0 (Strongly Disagree) to 4 (Strongly Agree) and were summed and multiplied by 2.5 to compute a total scale score. The minimum value is 0 and the maximum value is 100. The means of the Likert response items are calculated to determine the SUS score. The range of scores on the System Usability Scale (SUS) is 0-100. A score of 68 or greater reflects above average usability. Higher scores reflect greater usability. |
Countries
United States
Contacts
Klein Buendel, Inc.
Participant flow
Pre-assignment details
Inmates and correctional staff from correctional facilities across different states participated in this study, a post-test only design. Individuals enrolled in this study tested the computer-based learning program either in small-scale usability testing or large-scale usability testing. All participants tested the computer-based learning program for acceptability, ease of use, and feasibility of wider dissemination.
Baseline characteristics
| Characteristic | — |
|---|---|
| Age, Continuous | 44.4 years STANDARD_DEVIATION 12.3 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 5 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 55 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 2 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 2 Participants |
| Race (NIH/OMB) Asian | 0 Participants |
| Race (NIH/OMB) Black or African American | 20 Participants |
| Race (NIH/OMB) More than one race | 5 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 2 Participants |
| Race (NIH/OMB) White | 47 Participants |
| Sex: Female, Male Female | 56 Participants |
| Sex: Female, Male Male | 2 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 22 | 0 / 61 |
| other Total, other adverse events | 0 / 22 | 0 / 61 |
| serious Total, serious adverse events | 0 / 22 | 0 / 61 |