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  <title>OAR@UM Collection:</title>
  <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/32508" />
  <subtitle />
  <id>https://www.um.edu.mt/library/oar/handle/123456789/32508</id>
  <updated>2026-04-24T18:30:06Z</updated>
  <dc:date>2026-04-24T18:30:06Z</dc:date>
  <entry>
    <title>Is ADHD a hypo-attentional or hyper-attentional disorder?</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/43445" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/43445</id>
    <updated>2020-11-12T11:32:59Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: Is ADHD a hypo-attentional or hyper-attentional disorder?
Abstract: Explanations of attention date back to Aristotle, who considered attention as a&#xD;
"narrowing of the senses H, representing the selective aspect of perception.&#xD;
Attention Deficit Hyperactivity Disorder - (ADHD), is a neurobehavioural&#xD;
developmental disorder showing a marked impairment in the cognitive processes&#xD;
associated with the ability to maintain attention. An emerging alternative&#xD;
explanation for ADHD is that of 'Learned Inattention' - involving the inability to&#xD;
actively suppress the processing of irrelevant stimuli. This model assumes two&#xD;
concepts: Latent Inhibition (LI) (Lubow &amp; Moore, 1959), referring to the delay in&#xD;
conditioning to a stimulus after preexposure and Kamin Blocking Effect (KB)&#xD;
(Kamin, 1969) that refers to the 'unlearning' of a stimulus added during&#xD;
conditioning to another cue. Research has already established a relationship&#xD;
between KB and LI with other neuropsychiatric disorders, such as OCD and&#xD;
schizophrenia. Moreover, this model also incorporates neurochemical (dopamine)&#xD;
abnormalities present in these disorders and hence provides neuropharmacological&#xD;
issues for consideration in the treatment of these disorders. We therefore wanted to&#xD;
explore the effect of KB &amp; LI within a group of Maltese individuals diagnosed&#xD;
with ADHD, aged between 6-14 years. We used software based KB and LI tests&#xD;
comprising of a series of visual discriminatory conditioned association tests in&#xD;
addition to other structured questionnaires. Findings supported a novel 'hyper-attention'&#xD;
model of ADHD that may have implications to both the theoretical and&#xD;
practical management of ADHD, whilst also offering substantial diagnostic utility.&#xD;
Keywords: ADHD; Selective Attention; Associated Learning; Latent Inhibition;&#xD;
Kamin Blocking Effect.
Description: M.SC.BIOMED.SCI.</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Cognitive neuroscience of cocaine drug use.</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/42773" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/42773</id>
    <updated>2020-11-11T14:31:09Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: Cognitive neuroscience of cocaine drug use.
Abstract: Based on theories, such as the Dopamine Hypothesis, Schultz (1997, 2006), and Hyman's&#xD;
(2005) outlook on addiction as a disease of learning and memory, the main objective of&#xD;
this study was to assess for the first time, whether cognitive performance, with respect to&#xD;
Associative Learning, in a population of Cocaine users, was compromised. Secondary&#xD;
objectives included the identification plus confirmation of additional characteristics that&#xD;
might be related to the development and maintenance of the addiction. This was&#xD;
achieved by employing a quantitative approach, through the use of a battery of cognitive,&#xD;
biopsychosocial and demographic tests. These tests included a computer based Kamin&#xD;
Blocking and Latent Inhibition Test, in addition to a Beck Depression Inventory-Il, and a&#xD;
European Addiction Severity Index. Reported results confirm that in Cocaine-users,&#xD;
cognitive alterations on performance were evident when compared to their age, gender&#xD;
and education matched counterparts. A number of additional characteristics shaping the&#xD;
development and maintenance of the drug addiction in question were also established.&#xD;
Moreover, this work, succeeds in providing reliable data that could eventually facilitate&#xD;
the understanding of why cocaine users are more susceptible to relapse.&#xD;
Keywords: COCAINE ADDICTION, AETIOLOGY, ASSOCIATIVE LEARNING,&#xD;
KAMIN BLOCKING, LATENT INHIBITION, DOPAMINE HYPOTHESIS.
Description: M.SC.BIOMED.SCI.</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Medication errors in Malta : is there a cause for public health concern?</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/42770" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/42770</id>
    <updated>2020-11-12T05:46:49Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: Medication errors in Malta : is there a cause for public health concern?
Abstract: Internationally, medication errors are considered to be a burden in hospitals and&#xD;
in the community, causing significant morbidity and mortality and increased healthcare&#xD;
costs (Phillips &amp; Bredder, 2002; Ferner &amp; Aronson, 2006; Bar-Oz et al., 2008). The&#xD;
aim of this research was to gain understanding of the local situation on medication&#xD;
errors to determine if they are a public health concern.&#xD;
After a comprehensive literature review, a mixed method consisting of four&#xD;
different approaches was used to achieve this aim. (1) The use of a pharmacovigilance&#xD;
database in the identification of medication errors has been established (Alj et al., 2007;&#xD;
Kunac &amp; Tatley 2011), so a retrospective analysis of the 600 reports within the national&#xD;
pharmacovigilance database was undertaken. (2) Questionnaires, on the causes and&#xD;
prevention of prescribing and dispensing errors were distributed. (3) Key players in the&#xD;
field were interviewed and (4) inquiry reports from the medical and pharmacy councils&#xD;
were looked at for medication error related litigation.&#xD;
Results showed that 17.9% of all adverse drug reactions were associated with&#xD;
medication errors and could have potentially been prevented. Medication errors&#xD;
occurred most often at the stages of prescribing (52%), therapeutic monitoring (26%),&#xD;
patients' management of their own care (12%), dispensing (7%) and administration&#xD;
(3%). Increasing age was a risk factor with most medication errors occurring in the 80-&#xD;
89 year old age group. Distribution of results was similar to other studies but not for&#xD;
administration errors. (Bates et aI., 1993; Leape et a1.l995; Kaushal 2002, Alj et al.,&#xD;
2007; Kunac &amp; Tately, 2011). This may be due to differing methods and operational&#xD;
terminology or due to a less developed culture of reporting of ADRs within the hospital&#xD;
&#xD;
setting. Most medication errors in this study originated from the community (65%) and&#xD;
the medication classes most likely to be in error were the anti-inflammatory (28%) and&#xD;
anti-bacterial medications (10%). When errors were classified using the psychological&#xD;
theory most errors were likely to be knowledge-based and memory-based errors or rule-based&#xD;
errors. For the questionnaire 48 doctors and 71 pharmacists responded to the&#xD;
questionnaires. For both professions, human factors prevailed as the perceived cause of&#xD;
errors and included overwork (doctors=29/43, pharmacists=37/69), high patient volume&#xD;
(doctors=29/43 , pharmacists 36169) and fatigue from any cause (doctors=28/43 ,&#xD;
pharmacists=38/69). System factors included medications with similar and confusing&#xD;
names (21/43) for doctors and illegible handwriting (55/69) for pharmacists. For both&#xD;
professions, reducing interruptions (doctors=20/43, pharmacists=56168) and for doctors&#xD;
lack of availability of resources to consult with were identified as risk-reducing factors.&#xD;
Both professions thought that keeping knowledge of medicines up to date&#xD;
(doctors=41141, pharmacists 54/69), reducing workload (doctors=36/48 ,&#xD;
pharmacists=54/69) and having medicine names that are distinctive (doctors=34/48 ,&#xD;
pharmacists=53/69) were perceived as important to prevent errors. 2 key players were&#xD;
queried through a series of open ended questions and information pertaining to patient&#xD;
safety and incident reporting locally was obtained which contextualised the study. From&#xD;
the regulatory council inquiry report it was established that litigation related to doctors&#xD;
and pharmacists for medication error was very low (3 court cases from 154 inquiry&#xD;
cases).&#xD;
&#xD;
The objectives of this study have been met. This study has shown that&#xD;
medication errors do occur and are an emerging challenge to public health. A number of&#xD;
recommendations to address this issue have been made.
Description: M.SC. PUBLIC HEALTH</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Poverty and health in Malta.</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/42631" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/42631</id>
    <updated>2020-11-11T14:22:18Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: Poverty and health in Malta.
Abstract: Objectives: The objective of this study was to assess for the relationship&#xD;
between poverty and health. Poverty and health are intertwined.&#xD;
Studies show that the poorer people are the worst is their health. In&#xD;
all countries, poor or rich, health inequalities exist. It is not enough to&#xD;
meet your basic needs. Being relatively poor in the country you live&#xD;
puts one at a health disadvantage. Those who are in a higher social&#xD;
class, better educated, have superior income and suffer less material&#xD;
deprivation have better health.&#xD;
Method: to reach this objective an ecological cross sectional design was&#xD;
used. Data was collected from national routine sources. These were&#xD;
than analysed statistically; all statistical analyses were adjusted for&#xD;
age and gender. Health measures chosen were self-rated health and&#xD;
having a chronic condition. Poverty was considered from a&#xD;
multidimensional perspective. Linear regression was carried out to&#xD;
check for statistical inferences. To complement the statistics, focus&#xD;
groups with health professionals were carried out.&#xD;
Results: Initially self-rated health and having a chronic condition were&#xD;
related to income, employment, alcohol and smoking. However, in the&#xD;
linear regression models limitations due to a chronic condition and&#xD;
education were found to have the strongest statistical relationship&#xD;
with the health measure. Having a chronic condition was also&#xD;
statistically related to vitality scores.&#xD;
Conclusion: These results support the hypothesis that health is related to&#xD;
poverty, with education being the most important predictor of health.&#xD;
Income was not a strong predictor of health unlike what was&#xD;
expected. Similar to other studies old age increased the risk of poverty&#xD;
and poor health. Geographical differences in health were not found.
Description: M.SC. PUBLIC HEALTH</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
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