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1.
Memory ; 24(3): 334-47, 2016.
Article in English | MEDLINE | ID: mdl-25671575

ABSTRACT

This study examined whether beliefs about face recognition ability differentially influence memory retrieval in older compared to young adults. Participants evaluated their ability to recognise faces and were also given information about their ability to perceive and recognise faces. The information was ostensibly based on an objective measure of their ability, but in actuality, participants had been randomly assigned the information they received (high ability, low ability or no information control). Following this information, face recognition accuracy for a set of previously studied faces was measured using a remember-know memory paradigm. Older adults rated their ability to recognise faces as poorer compared to young adults. Additionally, negative information about face recognition ability improved only older adults' ability to recognise a previously seen face. Older adults were also found to engage in more familiarity than item-specific processing than young adults, but information about their face recognition ability did not affect face processing style. The role that older adults' memory beliefs have in the meta-cognitive strategies they employ is discussed.


Subject(s)
Aging/psychology , Mental Recall/physiology , Metacognition/physiology , Pattern Recognition, Visual/physiology , Recognition, Psychology/physiology , Adult , Age Factors , Aged , Face , Female , Humans , Male , Middle Aged , Photic Stimulation , Young Adult
2.
Stud Health Technol Inform ; 206: 78-83, 2014.
Article in English | MEDLINE | ID: mdl-25365674

ABSTRACT

Given that e-health (including telehealth) is an opportunity cost (i.e., redirecting already scarce healthcare resources away from more traditional healthcare delivery needs), performing needs assessment ensures that investment of resources in e-health is appropriate. Yet the current literature shows research is on clever, narrow, or 'one disease' telehealth applications (e.g., telediabetes; telesurgery), or creation of electronic records (e.g., EHR's; EMRs; HIS's) and accumulation of 'big data' (e.g. biosurveillance). Given the reality of comorbidity, the complexity of telesurgery, and the lack of successful country-wide EHR implementations, are we using our investments in e-health wisely? The requirement for needs assessment to guide selection and implementation of evidence-based and needs-based e-health solutions is seldom adhered to. We must refocus our efforts on more pragmatic needs. Where might insight to evidence-based health needs come from? Using South Africa as an example, this paper highlights several readily available resources, and how they may guide future telehealth implementations in South Africa and elsewhere.


Subject(s)
Health Information Systems/statistics & numerical data , Medical Records Systems, Computerized/statistics & numerical data , Needs Assessment/organization & administration , Telemedicine/statistics & numerical data , South Africa
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