scholarly journals Recruiting Eligible and Interested Study Participants With Cognitive Impairment

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 33-33
Author(s):  
Meghan Mattos ◽  
Jennifer Lingler

Abstract Recruiting and enrolling older adults with cognitive impairment is challenging under the best of circumstances. This symposium will begin with an introduction to best practices for recruitment of older adults living with cognitive impairment, followed by four presentations describing recruitment successes and challenges across multiple settings. The first presentation describes COVID-19 pandemic-related factors that have influenced recruitment and enrollment of older adults with cognitive impairment in an intervention study of a physical activity smartphone app. Strategies and procedural alterations to facilitate achievement of enrollment goals for technology-based interventions are discussed. The second presentation describes researchers’ recruiting experiences with older adults with mild cognitive impairment (oaMCI)-care partner dyads for a pilot, platform trial of biopsychosocial interventions. There were differences in study disinterest between oaMCI and study partners that may require specialized communication messaging and strategies for dyad engagement. The third presentation features recruitment adaptations for an Internet-delivered behavioral intervention study with oaMCI and insomnia. Anticipated concerns of oaMCI using technology or accessing the Internet were not significant barriers to recruitment, while fewer oaMCI endorsed sleep concerns than expected. The last presentation demonstrates the potential for telephone-based outreach to increase dementia knowledge and cognitive risk. Working with faith-based health educators to reach rural, ethnically-diverse older adults, researchers will describe how to promote inclusivity and successfully recruit oaMCI within the community. Presenters and participants are encouraged to dialogue on how recruitment and retention barriers may be avoided as well as to share success stories from their own research with oaMCI.

2019 ◽  
Vol 15 ◽  
pp. 100368 ◽  
Author(s):  
Juleen Rodakowski ◽  
Katlyn W. Golias ◽  
Charles F. Reynolds ◽  
Meryl A. Butters ◽  
Oscar L. Lopez ◽  
...  

2021 ◽  
Vol 13 ◽  
Author(s):  
Yong Liu ◽  
Kai Wei ◽  
Xinyi Cao ◽  
Lijuan Jiang ◽  
Nannan Gu ◽  
...  

ObjectiveTo develop and validate a prediction nomogram based on motoric cognitive risk syndrome for cognitive impairment in healthy older adults.MethodsUsing two longitudinal cohorts of participants (aged ≥ 60 years) with 4-year follow-up, we developed (n = 1,177) and validated (n = 2,076) a prediction nomogram. LASSO (least absolute shrinkage and selection operator) regression model and multivariable Cox regression analysis were used for variable selection and for developing the prediction model, respectively. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness.ResultsThe individualized prediction nomogram was assessed based on the following: motoric cognitive risk syndrome, education, gender, baseline cognition, and age. The model showed good discrimination [Harrell’s concordance index (C-index) of 0.814; 95% confidence interval, 0.782–0.835] and good calibration. Comparable results were also seen in the validation cohort, which includes good discrimination (C-index, 0.772; 95% confidence interval, 0.776–0.818) and good calibration. Decision curve analysis demonstrated that the prediction nomogram was clinically useful.ConclusionThis prediction nomogram provides a practical tool with all necessary predictors, which are accessible to practitioners. It can be used to estimate the risk of cognitive impairment in healthy older adults.


2006 ◽  
Vol 32 (2) ◽  
pp. 159-170 ◽  
Author(s):  
Vonnette Austin-Wells ◽  
Graham J. McDougall ◽  
Heather Becker

Author(s):  
Dan Mungas ◽  
Crystal Shaw ◽  
Eleanor Hayes‐Larson ◽  
Charles DeCarli ◽  
Sarah Tomaszewski Farias ◽  
...  

Author(s):  
Dan Song ◽  
Doris S. F. Yu ◽  
Qiuhua Sun ◽  
Guijuan He

Individuals with mild cognitive impairment (MCI) are at high risk for dementia development. Sleep disturbance is often overlooked in MCI, although it is an important risk factor of cognitive decline. In the absence of a cure for dementia, managing the risk factors of cognitive decline in MCI is likely to delay disease progression. To develop interventions for sleep disturbance in MCI, its related factors should be explored. This study aimed to identify and compare the correlates of sleep disturbance in older adults with MCI and those in cognitively healthy older adults. A comparative cross-sectional study was adopted. Data were obtained from 219 Chinese community-dwelling older adults (female: 70.3%), which consisted of 127 older adults with MCI and 92 age-matched cognitively healthy controls. The candidate correlates of sleep disturbance included socio-demographic correlates, health-related factors, lifestyle-related factors and psychological factor. Descriptive, correlational and regression statistics were used for data analysis. The prevalence of sleep disturbance in MCI was 70.1% compared to that of 56.5% in cognitively healthy controls (p < 0.001). The multivariate analysis indicated that, in participants with MCI, depressive symptoms (Beta = 0.297, p = 0.001), comorbidity burden (Beta = 0.215, p = 0.012) and physical activity (Beta = −0.297, p = 0.001) were associated with sleep disturbance. However, in the cognitively healthy controls, only depressive symptoms (Beta = 0.264, p = 0.028) and comorbidity burden (Beta = 0.361, p = 0.002) were associated with sleep disturbance. This finding highlights that sleep disturbance is sufficiently prominent to warrant evaluation and management in older adults with MCI. Furthermore, the findings elucidate several important areas to target in interventions aimed at promoting sleep in individuals with MCI.


2020 ◽  
Vol 18 (2) ◽  
pp. 163-170
Author(s):  
Saeed Yarahmadi ◽  
◽  
Fatemeh Zarei ◽  
Afsaneh Sadooghiasl ◽  
Sookyung Jeong ◽  
...  

Objectives: The internet is known as an essential part of individuals’ daily life. The present descriptive research aimed to determine the prevalence rate of Internet Addiction (IA) and its related factors in Iran. Methods: In total, 1046 internet users were recruited by a convenience sampling approach. The required data were collected by an online questionnaire, including a sociodemographic data scale and the Persian version of the Internet Addiction test. The obtained data were analyzed using SPSS.  Results: The current study findings indicated that the prevalence rate of IA was equal to 57.6%.The highest prevalence rate belonged to the research participants aged ≤35 years (67.5%), followed by females (61.5%), married subjects (66.7%), the holders of MSc and PhD. degrees (65.8%), and those employed in public sectors (68.5%). The highest prevalence of IA was detected among the study participants who spent one hour daily on the internet (94.7%); however, the lowest prevalence of the IA was observed among those who spent >10 hours daily on the internet (16.4%). Moreover, there was no dramatic difference between the internet access source and the IA among the research participants (P˃0.05). There was a significant relationship between all determined variables and the level of IA (P˂0.05).  Discussion: The prevalence of IA was increasing in the studied population. Health educators are recommended to emphasize improving society’s awareness of IA. They are also suggested to develop educational preventive measures on increasing media health literacy approaches.


2020 ◽  
Vol 30 (10) ◽  
pp. 1584-1595
Author(s):  
Elena Portacolone ◽  
Kenneth E. Covinsky ◽  
Julene K. Johnson ◽  
Jodi Halpern

We sought to understand the expectations and concerns of older adults with cognitive impairment with regard to their relationship with medical providers. In particular, we observed whether study participants were involved in therapeutic alliances. Medical providers and patients create therapeutic alliances when they agree on the goals of the treatment and share a personal bond. Whereas such alliances have been studied in cancer research, little is known about therapeutic alliances in dementia research. Data were gathered in a qualitative study of 27 older adults with cognitive impairment and analyzed with narrative analysis. We introduce four case studies that illustrate the effects of having or missing a therapeutic alliance. Whereas the participant in the first case benefited from a therapeutic alliance, the other cases are marked by different experiences of abandonment. Findings suggest that interventions should concentrate on ways to enhance the relationship between medical providers and patients with cognitive impairment.


BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e031937 ◽  
Author(s):  
Mikaela Law ◽  
Craig Sutherland ◽  
Ho Seok Ahn ◽  
Bruce A MacDonald ◽  
Kathy Peri ◽  
...  

ObjectivesThis research is part of an international project to design and test a home-based healthcare robot to help older adults with mild cognitive impairment (MCI) or early dementia. The aim was to investigate the perceived usefulness of different daily-care activities for the robot, developed from previous research on needs.DesignQualitative descriptive analysis using semistructured interviews. Two studies were conducted. In the first study, participants watched videos of a prototype robot performing daily-care activities; in the second study, participants interacted with the robot itself.SettingInterviews were conducted at a university and a retirement village.ParticipantsIn study 1, participants were nine experts in aged care and nine older adults living in an aged care facility. In study 2, participants were 10 experts in aged care.ResultsThe themes that emerged included aspects of the robot’s interactions, potential benefits, the appearance, actions and humanness of the robot, ways to improve its functionality and technical issues. Overall, the activities were perceived as useful, especially the reminders and safety checks, with possible benefits of companionship, reassurance and reduced caregiver burden. Suggestions included personalising the robot to each individual, simplifying the language and adding more activities. Technical issues still need to be fixed.ConclusionThis study adds to knowledge about healthcare robots for people with MCI by developing and testing a new robot with daily-care activities including safety checks. The robot was seen to be potentially useful but needs to be tested with people with MCI.


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