The lack of daily conversation may lead to the deterioration of quality of life and cognitive function in older adults requiring long-term care. This study aimed to develop a scale to measure daily conversation among them, the Life-Worldly Communication Scale: LWCS, and to test its structural, convergent, and discriminant validity. The subjects were 539 older adults requiring long-term care in facilities and at home. A 24-item provisional scale was created, using a panel of experts. Structural validity of LWCS was examined from exploratory factor analysis to establish the factor structure, two confirmatory factor analyses for cross-validation, and measurement invariance between the institutional and home setting. Convergent validity was examined from the average variance extracted: AVE, composite reliability: CR, and simple regression analysis between LWCS and Interdependent Happiness Scale: IHS. Discriminant validity was examined using the heterotrait-monotrait ratio of correlations: HTMT. Multiple imputations were used to deal with missing data on these scales. The results showed that the goodness of fit of the three-factor, 11-item model obtained from the two-step CFA was SRMR = .043, RMSEA = .059, CFI = .978, and AGFI = .905. The model was confirmed for structural validity by measurement invariance tests: configural invariance (CFI=.973, RMSEA = .047), metric invariance (ΔCFI= .001, ΔRMSEA=-.004), scalar invariance (ΔCFI =-0.002, RMSEA = -0.003). Convergent validity was confirmed by AVE = .503~.772, CR = .801~.910, and simple regression analysis between LWCS and IHS (adjusted r=.18, < .001). Discriminant validity was also confirmed among the three factors (HTMT=.496~.644). LWCS can contribute to the assessment of daily conversation in geriatric settings and research regarding its promotion.
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http://dx.doi.org/10.1080/10410236.2023.2233180 | DOI Listing |
JMIR Form Res
January 2025
Department of Gerontology, University of Nebraska at Omaha, Omaha, NE, United States.
Background: Technologies that serve as assistants are growing more popular for entertainment and aiding in daily tasks. Artificial intelligence (AI) in these technologies could also be helpful to deliver interventions that assist older adults with symptoms or self-management. Personality traits may play a role in how older adults engage with AI technologies.
View Article and Find Full Text PDFObjective: This study explores the effectiveness of conversational prompts on enhancing driver monitoring behavior and takeover performance in partially automated driving under two non-driving-related task (NDRT) scenarios with varying workloads.
Background: Driver disengagement in partially automated driving is a serious safety concern. Intermittent conversational prompts that require responses may be a solution.
Drugs Aging
January 2025
Center for Clinical Management Research, VA Ann Arbor Healthcare System, NCRC 016-308E, 2800 Plymouth Rd, Ann Arbor, MI, 48109, USA.
Background: Central nervous system (CNS)-active polypharmacy (defined as concurrent exposure to three or more antidepressant, antipsychotic, antiseizure, benzodiazepine, opioid, or nonbenzodiazepine benzodiazepine receptor agonists) is associated with significant potential harms in persons living with dementia (PLWD).We conducted a pilot trial to assess a patient nudge intervention's implementation feasibility and preliminary effectiveness to prompt deprescribing conversations between PLWD experiencing CNS-active polypharmacy and their primary care clinicians ("clinicians").
Methods: We used the electronic health record to identify PLWD prescribed CNS-active polypharmacy in primary care clinics from two health systems.
PLOS Digit Health
January 2025
Rwanda Ministry of Health, Kigali, Rwanda.
Community isolation of patients with communicable infectious diseases limits spread of pathogens but our understanding of isolated patients' needs and challenges is incomplete. Rwanda deployed a digital health service nationally to assist public health clinicians to remotely monitor and support SARS-CoV-2 cases via their mobile phones using daily interactive short message service (SMS) check-ins. We aimed to assess the texting patterns and communicated topics to better understand patient experiences.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Nørre Allé 20, Copenhagen, 2200, Denmark.
Background: A large number of older people depend on others for help with their daily personal care, including oral health care. Nursing home and elder-care staff often face challenges identifying older people, who are exposed to or at an increased risk of oral diseases. Thus, the aim of this study was to identify risk factors that non-dental care staff can use to identify older people at risk of oral diseases and poor oral hygiene.
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