Stephanie Grace Prost, Cynthia Golembeski, Vyjeyanthi S. Periyakoil, Jalayne Arias, Andrea K. Knittel, Jessica Ballin, Heather D. Oliver and Nguyen-Toan Tran
The targeted use of standardized outcome measures (SOMs) of mental health in research with older adults who are incarcerated promotes a common language that enables…
Abstract
Purpose
The targeted use of standardized outcome measures (SOMs) of mental health in research with older adults who are incarcerated promotes a common language that enables interdisciplinary dialogue, contributes to the identification of disparities and supports data harmonization and subsequent synthesis. This paper aims to provide researchers with rationale for using “gold-standard” measures used in research with community-dwelling older adults, reporting associated study sample psychometric indexes, and detailing alterations in the approach or measure.
Design/methodology/approach
The authors highlight the mental health of older adults who are incarcerated. They also discuss the benefits of SOMs in practice and research and then identify gold-standard measures of mental health used in research with community-dwelling older adults and measures used in research with older adults who are incarcerated. Finally, the authors provide several recommendations related to the use of SOMs of mental health in research with this population.
Findings
Depression, anxiety and post-traumatic stress disorder are common among older adults who are incarcerated. Researchers have used a variety of measures to capture these mental health problems, some parallel to those used with community-dwelling samples. However, a more targeted use of SOMs of mental health in research with this population will contribute to important strides in this burgeoning field.
Originality/value
This review offers several practical recommendations related to SOMs of mental health in research with older adults who are incarcerated to contribute to a rigorous evidence base and thus inform practice and potentially improve the health and well-being of this population.
Details
Keywords
Hung Nguyen, Thai Huynh, Nha Tran and Toan Nguyen
Visually impaired people usually struggle with doing daily tasks due to a lack of visual cues. For image captioning assistive applications, most applications require an Internet…
Abstract
Purpose
Visually impaired people usually struggle with doing daily tasks due to a lack of visual cues. For image captioning assistive applications, most applications require an Internet connection for the image captioning generation function to work properly. In this study, we developed MyUEVision, an application that assists visually impaired people by generating image captions that can work with and without the Internet. This work also involves reviewing some image captioning models for this application.
Design/methodology/approach
The author has selected and experimented with three image captioning models for online models and two image captioning models for offline models. The user experience (UX) design was designed based on the problems faced by visually impaired users when using mobile applications. The application is developed for the Android platform, and the offline model is integrated into the application for the image captioning generation function to work offline.
Findings
After conducting experiments for selecting online and offline models, ExpansionNet V2 is chosen for the online model and VGG16 + long short-term memory (LSTM) is chosen for the offline model. The application is then developed and assessed, and the results show that the application can generate image captions with or without the Internet, providing the best result when having an Internet connection, and the image is captured in good lighting with a few objects.
Originality/value
MyUEVision stands out for its both online and offline functionality. This approach ensures the image captioning generator works with or without the Internet, setting it apart as a unique solution to address the needs of visually impaired individuals.