Article summary: Patterns of Anxiety in Critically Ill Patients Receiving Mechanical Ventilatory Support

Dec 4, 2017 | 0 comments

Dec 4, 2017 | Miscellaneous | 0 comments


Article Summary

Article Tittle: Patterns of Anxiety in Critically Ill Patients Receiving Mechanical Ventilatory Support

This research study was done by Chlan and Savik, (2011) in an attempt to explore on the anxiety patterns in the ICU patients using mechanical ventilation support. Chlan et al. (2011) states, “Anxiety is a state of characterized by agitation, apprehension, motor tension, autonomic arousal, and fearful withdrawal” (p. 6). The research employed descriptive statistics for ordinal and interval data that were presented as medians with ranges and provided the skewed data distributions. The categorical data was analyzed and presented as frequencies. The initial analysis graphed the anxiety trajectories for every participant to discern the pattern changes. The mixed model effects were then employed in the analysis since they accommodate nonhomogeneous and correlated residuals that were expected in the repeated measures. The article underscores that the mixed models provides ideal models for analysis of data with disparate time assessment missing points of data or both from the subjects being unwilling or unable to complete the daily assessment of anxiety due to mental status, medical condition of level of fatigue. The research estimated a series of models do determine the preferred change model for the study VAS-A.
The unconditional model means were then estimated to determine the appropriateness of further modeling. Each outcome Yii combined the individual deviations and the linear of the grand mean from the grand mean. The unconditional model means were used to assess the two null hypotheses (a) “no changes across occasions” (b) “no variation between participants.” (Chlan & Savik, 2011) Further, an unconditional model of growth with DAY was added to predict the estimation of change coefficients (Chlan and Savik 4). The models with multiple within-person error covariance compatible structures with the pattern of correlation between VAS-A scores at dissimilar points of time were then explored. According to the results, “anxiety is a highly variable, individual experience” that requires continuous assessment and relevant nursing management over course of ventilatory support (p. 17).

Work Cited

Chlan, L, and K Savik. “”Patterns of Anxiety in Critically Ill Patients Receiving Mechanical Ventilatory Support.” Nursing Research. 60.3 (2011). Print. Retrieved from: