![]() ![]() QOL was explained directly by depression, social role, health perception, social support, and quality of the environment. SEM was used to link disease factors to symptoms, impairments, function, health perception, and QOL with a focus on cognition. ![]() To estimate the extent to which HIV-related variables, cognition, and other brain health factors interrelate with other HIV-associated symptoms to influence function, health perception, and QOL in older HIV+ men in Canada.Ĭross-sectional structural equation modelling (SEM) of data from the inaugural visit to the Positive Brain Health Now Cohort.ħ07 men, age ≥ 35 years, HIV+ for at least one year, without clinically diagnosed dementia.įive latent and 21 observed variables from the World Health Organization’s biopsychosocial model for functioning and disability and the Wilson–Cleary Model were analysed. With more data and use of learning models automated answers could be generated to provide a more dynamic platform. Text mining has the potential to help with difficulties of goal evaluation outside of the face-to-face setting. Personalized feedback profile did not help with formulation of high-quality goals. Goals set by both groups overlapped in 8 areas and had little difference in rank.Conclusion Negative binomial regression showed no difference in goal specificity among groups (RR = 0.93, 95% CI 0.78–1.10). Specific nouns and actionable verbs were present to some extent and “measurable” and “time-bound” words were mainly missing. The number of specific words used in the goals formulated by the feedback and control group were 642 and 739, respectively. The average number of goals was similar for both groups (3.7 vs 3.9). Goal specificity was measured by total number of specific words (matched to a domain-specific developed lexicon) per person-words using text mining techniques.ResultsOf 176 participants enrolled and randomly assigned to feedback and control groups, 110 responses were received. PurposeTo estimate among people living with chronic HIV, to what extent providing feedback on their health outcomes will affect the number and specificity of patient-formulated self-management goals.MethodsA personalized feedback profile was produced for individuals enrolled in a Canadian HIV Brain Health Now study. The future trial would provide a thorough understanding of the quality of person-defined goals. This study was the preparatory phase for a future trial on a method to stimulate setting specific goals. A total of 85 goals were set, the text of which was mined to create a lexicon for scoring goal quality in future endeavours.Conclusion 80% found the Dashboard useful for setting health-related goals. Items most endorsed to be changed were cognition, pain, and body mass index. ![]() Appropriateness of the Dashboard for goal-setting was tested by asking participants to write specific goals according to the Dashboard they were given.ResultsFifteen respondents were recruited from Montreal and Vancouver. ![]() Cognitive interviews were conducted with members of HIV community. The response option from the original item was the person’s value and the optimal level was provided to help persons compare their results to an optimal target. Single actionable items with evidence of life impact were chosen. The Wilson–Cleary model framed the outcome measurement strategy. A health outcome profile was computer generated in SAS from the outcome measures, at first and last recorded visits, of each person enrolled in the +BHN cohort from five sites in Canada. The development of “My Personal Brain Health Dashboard” was inspired by the knowledge-to-action framework. Objective(1) To develop a personalized health outcome profile as a feedback tool to improve self-management in people living with chronic conditions such as HIV and (2) to evaluate the interpretability and usefulness of the feedback tool for setting specific goals.Methods ![]()
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