American Journal of Critical Care

Journal Information
ISSN / EISSN : 1062-3264 / 1937-710X
Current Publisher: AACN Publishing (10.4037)
Total articles ≅ 1,180
Current Coverage
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Latest articles in this journal

Grant A. Pignatiello
American Journal of Critical Care, Volume 29, pp 448-449; doi:10.4037/ajcc2020415

PhD Mary G. Carey, PhD Salah S. Al-Zaiti, PhD Teri M. Kozik, PhD Michele M. Pelter
American Journal of Critical Care, Volume 29, pp 493-494; doi:10.4037/ajcc2020827

ScM Lisa Aronson Friedman, Pt Daniel L. Young, Archana Nelliot, Elizabeth Colantuoni, Pedro A. Mendez-Tellez, Fcpa Dale M. Needham, Mph Victor D. Dinglas
American Journal of Critical Care, Volume 29, pp 429-438; doi:10.4037/ajcc2020966

Background Participant retention is vital for longitudinal studies. Home visits may increase retention, but little is known about the subset of patients they benefit. Objective To evaluate patient-related variables associated with home visits. Methods In a 5-year, longitudinal, multisite, prospective study of 195 survivors of acute respiratory distress syndrome, in-person assessments were conducted at a research clinic. Home visits were offered to participants who could not attend the clinic. Associations between having a home visit, prior follow-up visit status, and baseline and in-hospital patient variables were evaluated with multivariable, random-intercept logistic regression models. The association between home visits and patients’ posthospital clinical status was evaluated with a subsequent regression model adjusted for these variables. Results Participants had a median age of 49 years and were 56% male and 58% White. The following had independent associations with home visits (adjusted odds ratio [95% CI]): age (per year: 1.03 [1.00-1.05]) and immediately preceding visit incomplete (2.46 [1.44-4.19]) or at home (8.24 [4.57-14.86]). After adjustment for prior-visit status and baseline and hospitalization variables, these posthospital patient outcome variables were associated with a subsequent home visit: instrumental activities of daily living (≥ 2 vs < 2 dependencies: 2.32 [1.29-4.17]), EQ-5D utility score (per 0.1-point decrease: 1.15 [1.02-1.30]), and 6-minute walk test (per 10-percentage-point decrease in percent-predicted distance: 1.50 [1.26-1.79]). Conclusions Home visits were important for retaining older and more physically impaired study participants, helping reduce selection bias caused by excluding them.
PhD Jenny Alderden, PhD Linda J. Cowan, Bsn Jonathan B. Dimas, Mstat Danli Chen, Yue Zhang, PhD Mollie Cummins, PhD Tracey L. Yap
American Journal of Critical Care, Volume 29; doi:10.4037/ajcc2020810

Background Hospital-acquired pressure injuries disproportionately affect critical care patients. Although risk factors such as moisture, illness severity, and inadequate perfusion have been recognized, nursing skin assessment data remain unexamined in relation to the risk for hospital-acquired pressure injuries. Objective To identify factors associated with hospital-acquired pressure injuries among surgical critical care patients. The specific aim was to analyze data obtained from routine nursing skin assessments alongside other potential risk factors identified in the literature. Methods This retrospective cohort study included 5101 surgical critical care patients at a level I trauma center and academic medical center. Multivariate logistic regression using the least absolute shrinkage and selection operator method identified important predictors with parsimonious representation. Use of specialty pressure redistribution beds was included in the model as a known predictive factor because specialty beds are a common preventive intervention. Results Independent risk factors identified by logistic regression were skin irritation (rash or diffuse, nonlocalized redness) (odds ratio, 1.788; 95% CI, 1.404-2.274; P < .001), minimum Braden Scale score (odds ratio, 0.858; 95% CI, 0.818-0.899; P < .001), and duration of intensive care unit stay before the hospital-acquired pressure injury developed (odds ratio, 1.003; 95% CI, 1.003-1.004; P < .001). Conclusions The strongest predictor was irritated skin, a potentially modifiable risk factor. Irritated skin should be treated and closely monitored, and the cause should be eliminated to allow the skin to heal.
PhD Annette M. Bourgault, PhD Jan Powers, Dnp Lillian Aguirre, Robert Hines
American Journal of Critical Care, Volume 29, pp 439-447; doi:10.4037/ajcc2020744

The publisher has not yet granted permission to display this abstract.
Alyson Takaoka, Meredith Vanstone, Thanh H. Neville, Sophia Goksoyr, Marilyn Swinton, France J. Clarke, Orla M. Smith, Allana Leblanc, Denise Foster, Yuhan Kao, et al.
American Journal of Critical Care, Volume 29, pp 422-428; doi:10.4037/ajcc2020733

The publisher has not yet granted permission to display this abstract.
Md Aluko A. Hope, PhD Cindy L. Munro
American Journal of Critical Care, Volume 29, pp 415-417; doi:10.4037/ajcc2020334

Vinciya Pandian, Linda L. Morris, Martin B. Brodsky, James Lynch, Brian Walsh, Cynda Rushton, Jane Phillips, Alphonsa Rahman, Troy Derose, Leah Lambe, et al.
American Journal of Critical Care, Volume 29; doi:10.4037/ajcc2020561

The publisher has not yet granted permission to display this abstract.
Rhonda Board
American Journal of Critical Care, Volume 29, pp 419-419; doi:10.4037/ajcc2020411

EdD Bobbie Ann Adair White, Do Heath D. White, Christie Bledsoe, Randy Hendricks, Md Alejandro C. Arroliga
American Journal of Critical Care, Volume 29; doi:10.4037/ajcc2020886

Background Conflicts in medical settings affect both team function and patient care, yet a standardized curriculum for conflict management in clinical teams does not exist. Objectives To evaluate the effects of an educational intervention for conflict management on knowledge and perceptions and to identify trends in preferred conflict management style among intensive care unit workers. Methods A conflict management education intervention was created for an intensive care team. The intervention was 1 hour long and incorporated the Thomas-Kilmann Conflict Mode Instrument as well as conflict management concepts, self-reflection, and active learning through discussion and reviewing clinical cases. Descriptive statistics were prepared on the participants’ preferred conflict management modes. A pretest/posttest was analyzed to evaluate knowledge and perceptions of conflict before and after the intervention, and 3 open-ended questions on the posttest were reviewed for categories. Results Forty-nine intensive care providers participated in the intervention. The largest portion of participants had an avoiding conflict management mode (32%), followed by compromising (30%), accommodating (25%), collaborating (9%), and competing (5%). Pretest/posttest data were collected for 31 participants and showed that knowledge (P < .001) and perception (P = .004) scores increased significantly after the conflict management intervention. Conclusions The conflict management educational intervention improved the participants’ knowledge and affected perceptions. Categorization of open-ended questions suggested that intensive care providers are interested in concrete information that will help with conflict resolution, and some participants understood that mindfulness and awareness would improve professional interactions or reduce conflict.
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