E-training of Inmate Peer Caregivers for Enhancing Geriatric and End-of-life Care in Prisons - Phase II

美国有1719个州和联邦监狱，囚犯超过230万人。2017年，更多 超过20%的被判刑囚犯年龄在50岁或以上。老年囚犯的健康状况通常与 年龄大得多的自由生活的人(例如，10-15岁)。年龄较大的囚犯对 惩教保健费用急剧上升，他们的死亡率是年轻囚犯的10倍。 惩教预算捉襟见肘，因为他们努力满足老年和垂死囚犯的护理需求。小心地 经过挑选和审查的囚犯提供了丰富的人力资源，准备在重要方面做出贡献 增加监狱工作人员，以满足日益增长的老年和垂死囚犯的护理需求。然而，缺乏 针对这一目标受众的标准化、循证的培训是目前确保 高质量的囚犯照看服务。针对这一需求，我们的第一阶段项目--囚犯同伴的E-培训 监狱中加强老年和临终关怀的照顾者表明，囚犯可以获得 技术正在发展，囚犯可以成为成功的电子学习者。具体来说，我们了解到：(1)有一个 对产品的需求和兴趣，如我们的囚犯护理基于计算机的学习(CBL)；(2)培训应 对特定环境、目标用户和安全保持参与性、互动性和上下文敏感度 限制，同时注意到囚犯使用技术方面的新趋势 (例如，在许多州购买和使用平板电脑的可用性)；以及最后，(3)互动、富媒体 可以开发出具有较高可接受性和可用性的原型模块。规范文档和 商业化计划表明，有可能在第二阶段开发一个全面的囚犯关爱学习系统 技术利基分析®揭示了存在的市场潜力。此第二阶段应用程序的目的是 继续研究和开发囚犯关爱学习系统，重点发展 可扩展的单元，用于商业化和在数量更多、更多样化的州立监狱中进行扩大测试。更多 具体地说，第二阶段研究的目标是：1)开发基于全面媒体的交互式计算机 学习系统囚犯关怀，由六个模块组成，旨在增强高度可变的面对面 面对州立监狱的囚犯照看计划，进行标准化的循证培训，为 帮助囚犯停止生命周期和老年护理；以及一个培训概述和推广模块，准备 工作人员将囚犯关怀作为囚犯同伴照顾者培训的工具；2)进行面对面的可用性测试 州立监狱两轮全面关爱囚犯计划评估后勤、囚犯和工作人员 印象、用户界面、易用性和可感知的障碍，以优化可扩展单元 更广泛的传播(n=30)；和3)在州立监狱测试扩大全面囚犯关怀计划 评估知识获取结果、使用模式和商业化 机会(n=288)。

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 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).