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1.
Stud Health Technol Inform ; 290: 479-483, 2022 Jun 06.
Article in English | MEDLINE | ID: covidwho-1933565

ABSTRACT

The global COVID-19 pandemic has driven innovations in methods to sustain initiatives for the design, development, evaluation, and implementation of clinical support technology in long-term care settings while removing risk of infection for residents, family members, health care workers, researchers and technical professionals. We adapted traditional design and evaluation methodology for a mobile clinical decision support app - designated Mobile Application Information System for Integrated Evidence ("MAISIE") - to a completely digital design methodology that removes in-person contacts between the research team, developer, and nursing home staff and residents. We have successfully maintained project continuity for MAISIE app development with only minor challenges while working remotely. This digital design methodology can be implemented in projects where software can be installed without in-person technical support and remote work is feasible. Team skills, experience, and relationships are key considerations for adapting to digital environments and maintaining project momentum.


Subject(s)
COVID-19 , Decision Support Systems, Clinical , Mobile Applications , Health Personnel , Humans , Long-Term Care , Pandemics
2.
JMIR Public Health Surveill ; 6(3): e19831, 2020 07 30.
Article in English | MEDLINE | ID: covidwho-1172930

ABSTRACT

Before the coronavirus disease (COVID-19), 1 in 3 women and girls, globally, were victimized by an abusive partner in intimate relationships. However, the current pandemic has amplified cases of domestic violence (DV) against women and girls, with up to thrice the prevalence in DV cases compared to the same time last year. Evidence of the adverse effects of the pandemic on DV is still emerging, even as violence prevention strategies are iteratively being refined by service providers, advocacy agencies, and survivors to meet stay-at-home mandates. Emotional and material support for survivors is a critical resource increasingly delivered using digital and technology-based modalities, which offer several advantages and challenges. This paper rapidly describes current DV mitigation approaches using digital solutions, signaling emerging best practices to support survivors, their children, and abusers during stay-at-home advisories. Some examples of technology-based strategies and solutions are presented. An immediate priority is mapping out current digital solutions in response to COVID-19-related DV and outlining issues with uptake, coverage, and meaningful use of digital solutions.


Subject(s)
Coronavirus Infections/epidemiology , Domestic Violence/prevention & control , Intimate Partner Violence/prevention & control , Pandemics , Pneumonia, Viral/epidemiology , Telemedicine/methods , COVID-19 , Coronavirus Infections/prevention & control , Domestic Violence/statistics & numerical data , Female , Global Health/statistics & numerical data , Humans , Intimate Partner Violence/statistics & numerical data , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Prevalence , Social Support , Survivors/psychology
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