Multilevel modeling of a clustered continuous outcome: Nurses' work hours and burnout

Article Abstract:

The two types of multilevel models, the random intercept model and the random coefficient model, are introduced to describe the correlation among observations within a cluster, and to demonstrate how to identify the superior model. It is concluded that the multilevel models provide a more accurate and comprehensive description of relationships in clustered data by correcting underestimated standard errors, by estimating components of variance and by estimating cluster-specific intercepts and slopes.

Work Schedules, Management, Work hours, Company business management, Burn out (Psychology), Hours of labour

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Generating new knowledge from existing data

Article Abstract:

A range of methodological issues and practical application encountered by three nurse researchers was explored using secondary data analysis of three existing data sets as a means to ask new questions and generate new nursing knowledge. It was found that using existing large data sets offers nurse researchers a unique opportunity to ask and answer questions that can affect the way the nurses care for patients in time-effective and efficient manner.

Evaluation, Nurse and patient, Nurse-patient relations

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Fidelity to a 12-week structured medication adherence intervention in patients with HIV

Article Abstract:

A study was conducted to determine the level of fidelity to each of the specified end points in the delivery of the 12-week, nurse-delivered, structured telephone intervention designed to improve medication adherence and to determine factors related to participation in the intervention. The results showed a lack of fidelity to the research intervention protocol.

Analysis, Risk factors, HIV infection, HIV infections, Fidelity

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