Thesis--Wisconsin. / Vita. Includes bibliographical references (leaves 205-210).

Call number: LD2668 .T4 1934 G51

Research in the field of mind/body/spirit/mental connection is extensive. However very few studies have focused on the persons who have survived a life-threatening critical illness and the way in which they redefine beliefs, values and their world view. Recognition of the transformation that occurs following such a crisis is an important contribution toward understanding all facets of the connectedness that exists between our mind, our body, our spirit, our mental/’emotional state and healing. This study will consider the question “What kind of transformation occurs for some who experience critical Illness?” Transformation means starting with one thing and ending up with another. This study reveals the inner world of eight participants (co-searchers) who experienced a medical crisis and found their inner world transformed. A clear view of the road taken by the participants is elucidated following a heuristic path requiring the researcher to interview to the point of saturation. The criterion for a heuristic study has been met. Relevant literature pertaining to the changing worldview of professionals working within the area of wellness from Grecian times to the present is considered. Some qualitative methods available to researchers are explored. This study can contribute to modification and/or expansion of existing health care programs to include the person in the situation. Credible evidence is presented to support the importance of acknowledging the positive aspects within illnesses that can be offered within a variety of health related disciplines: psychology, counseling, nursing, and religious studies, social work and health care providers. The nature of heuristic research is to merge the participants and the investigator. The co-searchers and the investigator reveal their understanding of those things that existed only in an innate dimension prior to illness. As a result of their experience, the researcher and the co-searchers present a rich plethora of changed perspectives they identify as transformative revealing the power illness offers us to reevaluate our personal actions impacting those around us as our worldview expands. This study is not meant to query who lives and who dies, for death ultimately claims us all. / Graduate

Thesis (Ed. D)--College of Saint Mary -- Omaha 2009. / A dissertation submitted by Barbara J. Braband to College of Saint Mary in partial fulfillment of the requirement for the degree of Doctor in Education with an emphasis on Health Professions Education. This dissertation has been accepted for the faculty of College of Saint Mary by: Peggy L. Hawkins, PhD, RN, B.C., CNE, chair ; Connie L. Clark, PhD, RN, committee member ; Pat Morin, PhD, RN, committee member. Includes bibliographical references.

Thesis (Ph. D.)--Open University. BLDSC no. DX207780.

Thesis--Ohio State University. / Vita. Bibliography: leaves 126-128.

Sickness-absence (SA) is a serious financial burden to UK industry totalling £10-12 billion in 1999 the equivalent of £434 and 7.8 days lost per worker. A major change in the reporting of SA occurred on 14 June 1982 with the introduction of self certification. Up to then all episodes had to be certified by a general practitioner. Since then, events that lasted for seven calendar or less have not required a GP's certificate and are 'self-certified'. A SA episode consists of the date the individual went off sick, the duration of the episode and a medical diagnosis given by either a GP or self diagnosis. A common approach to the analysis of SA data is to model the number of times an individual went off sick during a period of follow up via Poisson regression. Some studies on SA have examined the duration of SA, though most concentrated on the probability of going off sick. This thesis uses an intensity based approach to model the joint probability that a person goes off sick with a specific disease and has a specific duration of absence (the 'joint analysis'). A Bayesian hierarchical model, based on the conditional proportional hazards model, is formulated for the joint analysis and sampled using Markov chain Monte Carlo methods. Posterior expectations and 90% credible intervals are presented as summaries of the marginal posterior distributions of the parameters of the joint analysis. Trace plots of the log-joint posterior distribution are given to assess convergence of the MCMC sampler.

Thesis (Ph. D.)--University of Toronto, 2004. / Adviser: F.M. Connelly.

Diss. (sammanfattning) Stockholm : Karol. inst. / Härtill 6 uppsatser.

Thesis (Ph. D.)--Victoria University of Technology, 2005. / Includes bibliographical references.