Hyunhwa Lee

HOSPITAL VARIATION IN MISSED NURSING CARE

Quality of nursing care across hospitals is variable, and this variation can result in poor patient outcomes. One aspect of quality nursing care is the amount of necessary care that is omitted. This article reports on the extent and type of nursing care missed and the reasons for missed care. The MISSCARE Survey was administered to nursing staff (n = 4086) who provide direct patient care in 10 acute care hospitals. Missed nursing care patterns as well as reasons for missing care (labor resources, material resources, and communication) were common across all hospitals. Job title (ie, registered nurse vs nursing assistant), shift worked, absenteeism, perceived staffing adequacy, and patient work loads were significantly associated with missed care. The data from this study can inform quality improvement efforts to reduce missed nursing care and promote favorable patient outcomes.

Sleep Disorders in US Military Personnel: A High Rate of Comorbid Insomnia and Obstructive Sleep Apnea

BACKGROUND Sleep disturbances are among the most common symptoms of military personnel who return from deployment. The objective of our study was to determine the presence of sleep disorders in US military personnel referred for evaluation of sleep disturbances after deployment and examine associations between sleep disorders and service-related diagnoses of depression, mild traumatic brain injury, pain, and posttraumatic stress disorder (PTSD). METHODS This was a cross-sectional study of military personnel with sleep disturbances who returned from combat within 18 months of deployment. Sleep disorders were assessed by clinical evaluation and polysomnogram with validated instruments to diagnose service-related illnesses. RESULTS Of 110 military personnel included in our analysis, 97.3% were men (mean age, 33.6 ± 8.0 years; mean BMI, 30.0 ± 4.3 kg/m2), and 70.9% returned from combat within 12 months. Nearly one-half (47.3%) met diagnostic criteria for two or more service-related diagnoses. Sleep disorders were diagnosed in 88.2% of subjects; 11.8% had a normal sleep evaluation and served as control subjects. Overall, 62.7% met diagnostic criteria for obstructive sleep apnea (OSA) and 63.6% for insomnia. The exclusive diagnoses of insomnia and OSA were present in 25.5% and 24.5% of subjects, respectively; 38.2% had comorbid insomnia and OSA. Military personnel with comorbid insomnia and OSA were significantly more likely to meet criteria for depression (P < .01) and PTSD (P < .01) compared with control subjects and those with OSA only. CONCLUSIONS Comorbid insomnia and OSA is a frequent diagnosis in military personnel referred for evaluation of sleep disturbances after deployment. This diagnosis, which is difficult to treat, may explain the refractory nature of many service-related diagnoses.

The Development and Testing of the Nursing Teamwork Survey

Background: There is a lack of an acceptable, reliable, and valid survey instruments to differentiate levels of nursing teamwork on inpatient units in acute care facilities. Objective: The aim of this study was to test the psychometric soundness of the Nursing Teamwork Survey (NTS). Methods: The survey was administered to 1,758 inpatient nursing staff members using the NTS (return rate = 56.9%), and measures of content, predictive (concurrent), and construct (factorial, contrast, and convergent) validity were completed. Results: Content validity was established by a panel of experts. Concurrent validity showed a significant correlation between teamwork scores and an imbedded question related to overall satisfaction with teamwork (r = .633, p < .001). The exploratory factor analysis on a random half of the sample predicted a 33-item five-factor solution, whereas the confirmatory factor analysis on the remaining half of the sample confirmed the factor structure (comparative fit index = .884, root mean square error of approximation = 0.055, standardized root mean square residual = 0.045). Contrast validity showed that staff in a non-inpatient unit did not answer the questions in the same way (rWG(J) = .25) as the inpatient unit staff (rWG(J) > .90). Convergent validity of the teamwork tool was measured by correlating the Teamwork subscale of the Safety Attitudes Questionnaire with the NTS (r = .76, p < .01). The NTS had good test-retest reliability (r = .92 for overall 33 items; r = .77 to.87 for the five subscales) and internal consistency (α = .94 for overall items; α = .74 to.85 for the subscales). Aggregation of individual-level responses to the unit level was supported by intraclass correlation coefficient 1 = .16 (p < .001), intraclass correlation coefficient 2 = .9 (p < .001), and mean rWG(J) = .98. Discussion: The NTS was demonstrated to have good psychometric properties. Further NTS research should include testing the tool in hospitals with varying characteristics and exploring the links to clinical and operational outcomes.

Nursing teamwork, staff characteristics, work schedules, and staffing.

Purpose: This study aimed to explore whether and how staff characteristics, staffing, and scheduling variables are associated with the level of teamwork in nursing staff on acute care hospital patient units. Design: This was a cross-sectional study with a sample of 1,758 nursing staff members from two different hospitals on 38 patient care units who completed the Nursing Teamwork Survey in 2008. This study focused on nursing teams who are stationed on a particular patient care unit (as opposed to visitors to the units). The return rate was 56.9%. The sample was made up of 77.4% nurses (registered nurses and licensed practical nurses), 11.9% assistive personnel, and 7.9% unit secretaries. Findings: Teamwork varied by unit and service type, with the highest scores occurring in pediatrics and maternity and the lowest scores on the medical-surgical and emergency units. Staff with less than 6 months of experience, those working 8- or 10-hour shifts (as opposed to 12 hours or a combination of 8 and 12 hours), part-time staff (as opposed to full time), and those working on night shift had higher teamwork scores. The higher teamwork scores were also associated with no or little overtime. The higher perception of the adequacy of staffing and the fewer patients cared for on a previous shift, the higher the teamwork scores. Conclusions: There is a relationship between selected staff characteristics, aspects of work schedules, staffing, and teamwork. Nursing staff want to work where teamwork is high, and perceptions of good staffing lead to higher teamwork. Higher teamwork scores correlated with those who worked less overtime.

Does missed nursing care predict job satisfaction

EXECUTIVE SUMMARY This study explores the impact of missed nursing care (required patient care that is omitted) on job satisfaction of nursing personnel. Data from 3,135 registered nurses (RNs) and 939 nursing assistants (NAs) on 110 patient care units in ten midwestern hospitals revealed that nursing staff who perceived less missed nursing care on the patient care unit where they work are more satisfied in their current position and occupation. Perceptions of staffing adequacy also significantly predicted both satisfaction variables. Focused interventions aimed at decreasing missed care and ensuring staffing adequacy are needed to improve job satisfaction and patient care.

Lower health related quality of life in U.S. military personnel is associated with service-related disorders and inflammation

Military personnel who have combat exposures are at increased risk for the service-related disorders of post-traumatic stress disorder (PTSD), depression, sleep disturbances and decreased health related quality of life (HRQOL). Those with a traumatic brain injury (TBI) are at even greater risk. Inflammation is associated with these disorders and may underlie the risk for health declines. We evaluated 110 recently deployed, military personnel presenting with sleep disturbances for service-related disorders (TBI, PTSD, and depression) as well as HRQOL. ANOVA models were used to examine differences among military personnel with two or more service-related disorders (high comorbid group), or one or no disorders (low comorbid group). Logistic regression models were used to determine associations among interleukin-6 (IL-6) to HRQOL and service-related disorders. Approximately one-third of the sample had two or more service-related disorders. HRQOL was lower and IL-6 concentrations were higher in military personnel with PTSD or depression, with the most profound differences in those with more service-related disorders, regardless of sleep disorder. Having symptoms of depression and PTSD resulted in a 3.5-fold risk to be in the lower quartile of HRQOL and the highest quartile of IL-6. In a linear regression model, 41% of the relationship between HRQOL and IL-6 concentrations was mediated by PTSD and depression. Military personnel with PTSD and depression are at high risk for lower HRQOL, and higher IL-6 concentrations. Comprehensive treatment is required to address co-occurring service-related disorders in military personnel to promote health and well-being.

Military Personnel with Chronic Symptoms Following Blast Traumatic Brain Injury Have Differential Expression of Neuronal Recovery and Epidermal Growth Factor Receptor Genes

Objective: Approximately one-quarter of military personnel who deployed to combat stations sustained one or more blast-related, closed-head injuries. Blast injuries result from the detonation of an explosive device. The mechanisms associated with blast exposure that give rise to traumatic brain injury (TBI), and place military personnel at high risk for chronic symptoms of post-concussive disorder (PCD), post-traumatic stress disorder (PTSD), and depression are not elucidated. Methods: To investigate the mechanisms of persistent blast-related symptoms, we examined expression profiles of transcripts across the genome to determine the role of gene activity in chronic symptoms following blast-TBI. Active duty military personnel with (1) a medical record of a blast-TBI that occurred during deployment (n = 19) were compared to control participants without TBI (n = 17). Controls were matched to cases on demographic factors including age, gender, and race, and also in diagnoses of sleep disturbance, and symptoms of PTSD and depression. Due to the high number of PCD symptoms in the TBI+ group, we did not match on this variable. Using expression profiles of transcripts in microarray platform in peripheral samples of whole blood, significantly differentially expressed gene lists were generated. Statistical threshold is based on criteria of 1.5 magnitude fold-change (up or down) and p-values with multiple test correction (false discovery rate <0.05). Results: There were 34 transcripts in 29 genes that were differentially regulated in blast-TBI participants compared to controls. Up-regulated genes included epithelial cell transforming sequence and zinc finger proteins, which are necessary for astrocyte differentiation following injury. Tensin-1, which has been implicated in neuronal recovery in pre-clinical TBI models, was down-regulated in blast-TBI participants. Protein ubiquitination genes, such as epidermal growth factor receptor, were also down-regulated and identified as the central regulators in the gene network determined by interaction pathway analysis. Conclusion: In this study, we identified a gene-expression pathway of delayed neuronal recovery in military personnel a blast-TBI and chronic symptoms. Future work is needed to determine if therapeutic agents that regulate these pathways may provide novel treatments for chronic blast-TBI-related symptoms.

Genome-Wide Changes in Peripheral Gene Expression following Sports-Related Concussion

We conducted a prospective study to identify genome-wide changes in peripheral gene expression before and after sports-related concussion (SRC). A total of 253 collegiate contact athletes underwent collection of peripheral blood mononuclear cells (PBMCs) before the sport season (baseline). Sixteen athletes who subsequently developed an SRC, along with 16 non-concussed teammate controls, underwent repeat collection of PBMCs within 6 h of injury (acutely). Concussed athletes underwent additional sample collection at 7 days post-injury (sub-acutely). Messenger RNA (mRNA) expression at baseline was compared with mRNA expression acutely and sub-acutely post-SRC. To estimate the contribution of physical exertion to gene changes, baseline samples from athletes who subsequently developed an SRC were compared with samples from uninjured teammate controls collected at the acute time-point. Clinical outcome was determined by changes in post-concussive symptoms, postural stability, and cognition from baseline to the sub-acute time-point. SRC athletes had significant changes in mRNA expression at both the acute and sub-acute time-points. There were no significant expression changes among controls. Acute transcriptional changes centered on interleukins 6 and 12, toll-like receptor 4, and NF-κB. Sub-acute gene expression changes centered on NF-κB, follicle stimulating hormone, chorionic gonadotropin, and protein kinase catalytic subunit. All SRC athletes were clinically back to baseline by Day 7. In conclusion, acute post-SRC transcriptional changes reflect regulation of the innate immune response and the transition to adaptive immunity. By 7 days, transcriptional activity is centered on regulating the hypothalamic-pituitary-adrenal axis. Future efforts to compare expressional changes in fully recovered athletes with those who do not recover from SRC could suggest putative targets for therapeutic intervention.

Primer in Genetics and Genomics, Article 2—Advancing Nursing Research With Genomic Approaches: A Review of Methodological Considerations

Purpose: Nurses investigate reasons for variable patient symptoms and responses to treatments to inform how best to improve outcomes. Genomics has the potential to guide nursing research exploring contributions to individual variability. This article is meant to serve as an introduction to the novel methods available through genomics for addressing this critical issue and includes a review of methodological considerations for selected genomic approaches. Approach: This review presents essential concepts in genetics and genomics that will allow readers to identify upcoming trends in genomics nursing research and improve research practice. It introduces general principles of genomic research and provides an overview of the research process. It also highlights selected nursing studies that serve as clinical examples of the use of genomic technologies. Finally, the authors provide suggestions about how to apply genomic technology in nursing research along with directions for future research. Conclusions: Using genomic approaches in nursing research can advance the understanding of the complex pathophysiology of disease susceptibility and different patient responses to interventions. Nurses should be incorporating genomics into education, clinical practice, and research as the influence of genomics in health-care research and practice continues to grow. Nurses are also well placed to translate genomic discoveries into improved methods for patient assessment and intervention.