Large-scale evaluation of a computer-based learning program to increase prison staff knowledge on geriatric and end-of-life care.
Large-scale evaluation of a computer-based learning program to increase prison staff knowledge on geriatric and end-of-life care.
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大规模评估一个基于计算机的学习方案，以增加监狱工作人员对老年病和临终关怀的了解。
DOI：
10.1108/ijph-08-2021-0078
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发表时间：
2022-03-29
影响因子：
1.4
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中科院分区：
文献类型：
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作者：
本研究的目的是继续ECAD-P学习系统的研究和开发，重点是开发一个可扩展的单元，用于在大量更多样化的矫正环境中进行测试。美国有近230万人被监禁。教养所中的老年和临终护理不像自由世界中的护理那样公平。通过基于计算机的学习（CBL）向工作人员提供老年医学培训的技术提供了一种新的方法，以改善护理和减少那些在分娩期间最脆弱的人之间的差异。这种混合方法的研究建立了一个互动的CBL多学科工作人员，以解决监狱中的EOL和老年问题。在使用干预前/干预后设计启动全面评价之前，反复构建和测试CBL。在7个地点（即6个州立监狱和1个监狱保健供应商）对社区保健清单进行了评价。共征聘了241名工作人员，其中173人完成了事后测试。结果是知识的获取有关照顾老龄化和垂死的监禁人员（即认知措施）和态度，动机和价值观提供护理（即情感措施）。认知和情感后测均显著优于前测（所有ps < 0.01）。ANCOVA显示，性别或种族没有显着差异。结果表明，CBL是可接受的，可行的，可用于校正。员工在接受培训后提高了知识水平。惩教机构面临越来越大的压力，需要更好地解决老年、慢性病患者和垂死的被监禁者的保健和管理需求。这一电子学习有望有助于惩戒工作人员更好地做好准备，以有效地照顾这些人口。
The purpose of this study is to continue research and development of the ECAD-P learning system with an emphasis on developing a scalable unit for testing in a larger number of more diverse correctional settings. There are almost 2.3 million US persons incarcerated. Geriatric and end-of-life (EOL) care in corrections is not as equitable as care in the free world. Technological delivery of geriatric training to staff through computer-based learning (CBL) offers a novel approach to improve care and reduce disparities among those who are most vulnerable during confinement. This mixed methods study built an interactive CBL for multidisciplinary staff to address EOL and geriatric issues in prisons. The CBL was iteratively built and tested prior to launching a full-scale evaluation using a pre/post-intervention design. Evaluation of the CBL occurred at 7 sites (i.e. 6 state prisons and 1 prison health-care vendor). A total of 241 staff were recruited with 173 completing post-tests. Outcomes were knowledge acquisition regarding care for aging and dying incarcerated persons (i.e. cognitive measure) and attitudes, motivations and values for providing care (i.e. affective measure). Cognitive and affective post-tests were significantly better than at pre-test (all ps < 0.01). ANCOVAs revealed no significant differences for sex or ethnicity. Outcomes reveal that the CBL is acceptable, feasible and usable in corrections. Staff improved their knowledge after receiving the training. Correctional settings face increasing pressures to better address the health care and management needs of aged, chronically ill and dying incarcerated persons. This e-learning holds promise to contribute to better preparation of corrections staff to effectively care for these populations.