Assessing the impact of leadership on nurse job satisfaction and the desire for unionization in health care settings

This dissertation focuses on the leadership styles of managers, the impact these leadership styles have on the job satisfaction of staff nurses, and the proclivity of nurses to consider unionization. The aims of the dissertation include conducting a literature review on topics of leadership style, job satisfaction, and unionization; identifying and elucidating pertinent constructs with respect to shared interrelationships and how they could be measured; and developing a means of assessing if and to what extent transformational and transactional leadership styles affect nurse proclivity to unionize.^ The instrumentation selected includes the Multifactor Leadership Survey, Job Satisfaction Survey, and a newly created Union Preference Survey. Each survey instrument was evaluated as to its appropriateness to administer at a non-consultant level within a health care facility. Options other than self-administering the survey instruments include online access for participants, which provides confidentiality and encourages more responses. ^ The next part of the dissertation is a plan for health care facilities to use the survey tool by administering it themselves. The plan provides a general description of the survey tool, administering the instrument, rating the instrument, and leadership development. Integration of the three surveys is presented in a non-statistical format by coordinating the results of the three survey instrument responses. Recommendations are presented on how to improve leadership development warranted for improvement.^ The conclusions reached are that nurses’ preference for unions is influenced by the leadership style of direct report managers, as rated by staff nurses, and the nurses’ job satisfaction, which is in turn in part dependent on their managers’ leadership style. Thus, changes in leadership style can have a profound impact on nurse job satisfaction and on nurses’ preference for unionization.^

Validity of using item response theory to analyze data from the Work Limitations Questionnaire

The Work Limitations Questionnaire (WLQ) is used to determine the amount of work loss and productivity which stem from certain health conditions, including rheumatoid arthritis and cancer. The questionnaire is currently scored using methodology from Classical Test Theory. Item Response Theory, on the other hand, is a theory based on analyzing item responses. This study wanted to determine the validity of using Item Response Theory (IRT), to analyze data from the WLQ. Item responses from 572 employed adults with dysthymia, major depressive disorder (MDD), double depressive disorder (both dysthymia and MDD), rheumatoid arthritis and healthy individuals were used to determine the validity of IRT (Adler et al., 2006).^ PARSCALE, which is IRT software from Scientific Software International, Inc., was used to calculate estimates of the work limitations based on item responses from the WLQ. These estimates, also known as ability estimates, were then correlated with the raw score estimates calculated from the sum of all the items responses. Concurrent validity, which claims a measurement is valid if the correlation between the new measurement and the valid measurement is greater or equal to .90, was used to determine the validity of IRT methodology for the WLQ. Ability estimates from IRT were found to be somewhat highly correlated with the raw scores from the WLQ (above .80). However, the only subscale which had a high enough correlation for IRT to be considered valid was the time management subscale (r = .90). All other subscales, mental/interpersonal, physical, and output, did not produce valid IRT ability estimates.^ An explanation for these lower than expected correlations can be explained by the outliers found in the sample. Also, acquiescent responding (AR) bias, which is caused by the tendency for people to respond the same way to every question on a questionnaire, and the multidimensionality of the questionnaire (the WLQ is composed of four dimensions and thus four different latent variables) probably had a major impact on the IRT estimates. Furthermore, it is possible that the mental/interpersonal dimension violated the monotonocity assumption of IRT causing PARSCALE to fail to run for these estimates. The monotonicity assumption needs to be checked for the mental/interpersonal dimension. Furthermore, the use of multidimensional IRT methods would most likely remove the AR bias and increase the validity of using IRT to analyze data from the WLQ.^

Non-nutritive sucking and the preterm infant

Background. Preterm birth is major public health problem. Preterm infants face a post-natal environment that their under developed systems are inapt to manage. Developmentally supportive individualized care has demonstrated positive outcomes in minimizing resulting negative effects. Non-nutritive sucking (NNS) interventions are thought to promote the development of the suck-swallow-breathe mechanism and a calming tool. It is hypothesized that growth and development is maintained by strengthened sucking skills and stable behavioral states.^ Objective. To determine the importance of non-nutritive sucking (NNS) on outcomes that are clinically relevant to the preterm infant population.^ Methods. A computerized search of MEDLINE and PUBMED databases during the period of 1975 and May 2011 was conducted. Relevant articles were selected using published criteria for detecting clinically validated studies. The search yielded 10 randomized controlled studies relative to the outcomes of interest: weight gain, time to full feeds, time to discharge from hospital, and pain response.^ Results. NNS was found to decrease significantly the length of hospitalization in preterm infants. Although positive results were reported in some of the studies, the results did not show a consistent benefit of NNS with respect to other major clinical variables. NNS was shown to reduce distress following painful stimuli.^ Conclusion. Although NNS shows promise for the development of preterm infants, there is lack of agreement concerning some of the outcomes of interest. Evidence does support NNS's positive contribution to early hospital discharge and pain relief. Future research should focus on long-term, comparable outcomes. ^

A simulation study using the hybrid statistic and the meta-analysis t-test for data with matched and unmatched subjects in the interim analysis of clinical trials

An interim analysis is usually applied in later phase II or phase III trials to find convincing evidence of a significant treatment difference that may lead to trial termination at an earlier point than planned at the beginning. This can result in the saving of patient resources and shortening of drug development and approval time. In addition, ethics and economics are also the reasons to stop a trial earlier. In clinical trials of eyes, ears, knees, arms, kidneys, lungs, and other clustered treatments, data may include distribution-free random variables with matched and unmatched subjects in one study. It is important to properly include both subjects in the interim and the final analyses so that the maximum efficiency of statistical and clinical inferences can be obtained at different stages of the trials. So far, no publication has applied a statistical method for distribution-free data with matched and unmatched subjects in the interim analysis of clinical trials. In this simulation study, the hybrid statistic was used to estimate the empirical powers and the empirical type I errors among the simulated datasets with different sample sizes, different effect sizes, different correlation coefficients for matched pairs, and different data distributions, respectively, in the interim and final analysis with 4 different group sequential methods. Empirical powers and empirical type I errors were also compared to those estimated by using the meta-analysis t-test among the same simulated datasets. Results from this simulation study show that, compared to the meta-analysis t-test commonly used for data with normally distributed observations, the hybrid statistic has a greater power for data observed from normally, log-normally, and multinomially distributed random variables with matched and unmatched subjects and with outliers. Powers rose with the increase in sample size, effect size, and correlation coefficient for the matched pairs. In addition, lower type I errors were observed estimated by using the hybrid statistic, which indicates that this test is also conservative for data with outliers in the interim analysis of clinical trials.^

Transcriptional regulation of cell lineage-specific expression of the murine type I collagen genes and of osteoblast differentiation

The aim of my project is to examine the mechanisms of cell lineage-specific transcriptional regulation of the two type I collagen genes by characterizing critical cis-acting elements and trans-acting factors. I hypothesize that the transcription factors that are involved in the cell lineage-specific expression of these genes may have a larger essential role in cell lineage commitment and differentiation. I first examined the proximal promoters of the proα1(I) and the proα2(I) collagen genes for cell type-specific DNA-protein interactions, using in vitro DNaseI and in vivo DMS footprinting. These experiments demonstrated that the cis-acting elements in these promoters are accessible to ubiquitous DNA-binding proteins in fibroblasts that express these genes, but not in other cells that do not express these genes. I speculate that in type I collagen-expressing cells, cell type-specific enhancer elements facilitate binding of ubiquitous proteins to the proximal promoters of these genes. Subsequently, examination of the upstream promoter of the proα(I) collagen gene by transgenic mice experiments delineated a 117 bp sequence (-1656 to -1540 bp) as the minimum element required for osteoblast-specific expression. This 117 bp element contained two segments that appeared to have different functions: (1) the A-segment, which was necessary to obtain osteoblast-specific expression and (2) the C-segment, which was dispensable for osteoblast-specific expression, but was necessary to obtain high-level expression. In experiments to identify trans-acting factors that bind to the 117 bp element, I have demonstrated that the cell lineage-restricted homeodomain proteins, Dlx2, Dlx5 and mHOX, bound to the A-segment and that the ubiquitous transcription factor, Sp1, bound to the C-segment of this element. These results suggested a model where the binding of cell lineage-restricted proteins to the A-segment and of ubiquitous proteins to the C-segment of the 117 bp element of the proα1 (I) collagen gene activated this gene in osteoblasts. These results, combined with additional evidence that Dlx2, Dlx5 and mHOX are probably involved in osteoblast differentiation, support my hypothesis that the transcription factors involved in osteoblast-specific expression of type I collagen genes may have essential role in osteoblast lineage commitment and differentiation. ^

Left, right and interval bivariate censored data: Evaluating screening mammography in the presence of lead -time bias, length bias and over-detection

Of the large clinical trials evaluating screening mammography efficacy, none included women ages 75 and older. Recommendations on an upper age limit at which to discontinue screening are based on indirect evidence and are not consistent. Screening mammography is evaluated using observational data from the SEER-Medicare linked database. Measuring the benefit of screening mammography is difficult due to the impact of lead-time bias, length bias and over-detection. The underlying conceptual model divides the disease into two stages: pre-clinical (T0) and symptomatic (T1) breast cancer. Treating the time in these phases as a pair of dependent bivariate observations, (t0,t1), estimates are derived to describe the distribution of this random vector. To quantify the effect of screening mammography, statistical inference is made about the mammography parameters that correspond to the marginal distribution of the symptomatic phase duration (T1). This shows the hazard ratio of death from breast cancer comparing women with screen-detected tumors to those detected at their symptom onset is 0.36 (0.30, 0.42), indicating a benefit among the screen-detected cases. ^