Live-Model Simulation: Improving Nursing Students' Attitudes and Knowledge of Alzheimer's Disease

Maharaj, Teresa

doi:10.1016/j.ecns.2017.05.002

Cited by 38 publications

(37 citation statements)

References 52 publications

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“…[144], Nicolaides et al . [145], Maharaj et al [146]vaccinationBauch et al . [147], d'Onofrio & Manfredi [148], Buonomo et al .…”

Section: Resultsmentioning

confidence: 99%

“…Maharaj et al . [146] and Chen et al . [183] collected data through a game in which participants trade-off social contacts versus their risk of infection.…”

Section: Resultsmentioning

confidence: 99%

“…[56] used television viewing habits (average viewing time) as a proxy for social distancing, although this proxy is far removed from a direct estimation of social distancing in an outbreak situation. More promising sources of information include: survey data using, for instance, the HBM framework (also see [191,195,196]) or time-use surveys [3,14,23,24,45,48,60,72,85,127,183] or digital sources such as social media [25,60,66,146,197]. Real-life data collection during the influenza A/H1N1 pandemic in 2009 has been a milestone for the parametrization of BCMs with increased collection of both behaviour and disease-related information.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Verelst

Willem

Beutels

2016

J. R. Soc. Interface.

340

311

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We review behavioural change models (BCMs) for infectious disease transmission in humans. Following the Cochrane collaboration guidelines and the PRISMA statement, our systematic search and selection yielded 178 papers covering the period 2010–2015. We observe an increasing trend in published BCMs, frequently coupled to (re)emergence events, and propose a categorization by distinguishing how information translates into preventive actions. Behaviour is usually captured by introducing information as a dynamic parameter (76/178) or by introducing an economic objective function, either with (26/178) or without (37/178) imitation. Approaches using information thresholds (29/178) and exogenous behaviour formation (16/178) are also popular. We further classify according to disease, prevention measure, transmission model (with 81/178 population, 6/178 metapopulation and 91/178 individual-level models) and the way prevention impacts transmission. We highlight the minority (15%) of studies that use any real-life data for parametrization or validation and note that BCMs increasingly use social media data and generally incorporate multiple sources of information (16/178), multiple types of information (17/178) or both (9/178). We conclude that individual-level models are increasingly used and useful to model behaviour changes. Despite recent advancements, we remain concerned that most models are purely theoretical and lack representative data and a validation process.

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“…[144], Nicolaides et al . [145], Maharaj et al [146]vaccinationBauch et al . [147], d'Onofrio & Manfredi [148], Buonomo et al .…”

Section: Resultsmentioning

confidence: 99%

“…Maharaj et al . [146] and Chen et al . [183] collected data through a game in which participants trade-off social contacts versus their risk of infection.…”

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Verelst

Willem

Beutels

2016

J. R. Soc. Interface.

340

311

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“…Alzheimer's is becoming a growing burden and the leading cause of disability among older people, and there is no cure for it [5]. It is set to be the biggest killer among the growing elderly population [6].…”

Section: Introductionmentioning

confidence: 99%

“…Mental and physical exercise and avoiding obesity may decrease the risk of Alzheimer's disease [11]. There are no medications or supplements that decrease the risk [6]. No treatments can stop or reverse its progression, though some may temporarily improve symptoms [9].…”

Section: Introductionmentioning

confidence: 99%

Knowledge regarding Alzheimer’s Disease among College Students of Kathmandu, Nepal

Baral

Dahal

Pradhan

2020

International Journal of Alzheimer's Disease

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Introduction. Alzheimer’s, a neurodegenerative disease, is becoming a growing burden and the leading cause of disability among older people, and there is no cure for it. It is set to be the biggest killer among the growing elderly population. The aim of this study was to assess the knowledge of Alzheimer’s disease among college students in Kathmandu metropolitan city. Methods. This was a descriptive cross-sectional study among 385 randomly selected bachelor students of Kathmandu metropolitan city. The questionnaire included 2 sections. Section I addressed the sociodemographic characteristics of the participants. Section II addressed or covered the Alzheimer’s Disease Knowledge Scale (ADKS) test. ADKS contains a set of 30 items, with true and false options. 1 point was given for the correct answer and 0 for the incorrect answer. The final sum was then the total score of the participant. Frequency, percentage, mean, and standard deviation were calculated, and the chi-square test was used to measure the association between two categorical variables. Results. The mean ADKS (Alzheimer’s Disease Knowledge Scale) score is 15.45±2.95 with the lowest and highest mean total scores of 8 and 26, respectively. 49.5% of the respondents scored above the mean. The number of male and female respondents who scored above the mean is 68 and 95, respectively, with p value 0.71 and odds ratio 0.922. There is no association between gender and knowledge level. Gender seemed to have no effect on the knowledge about Alzheimer’s disease on the basis of the Alzheimer’s Disease Knowledge Scale (ADKS). However, science students had comparatively better knowledge about disease than management students. The mean score of science and management is 15.9 and 15.04, respectively, with p value 0.004. There is association between knowledge score and faculty. Conclusion. This study concluded that the knowledge level of college students on Alzheimer’s disease is below moderate. The findings concluded that there is association between faculty and knowledge score.

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Do Simulation Studies Measure up? A Simulation Study Quality Review

Cant

Levett‐Jones

James

2018

Clinical Simulation in Nursing

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Live-Model Simulation: Improving Nursing Students' Attitudes and Knowledge of Alzheimer's Disease

Cited by 38 publications

References 52 publications

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Knowledge regarding Alzheimer’s Disease among College Students of Kathmandu, Nepal

Do Simulation Studies Measure up? A Simulation Study Quality Review

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