Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 215-228). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 215-228). Also available on the Internet.

Thesis (Ph. D.)--University of Connecticut, 1999. / Abstract (2 leaves) bound with copy. Includes bibliographical references (leaves 328-355).

Thesis (doctoral)--Universität, Linz, 2004. / Includes bibliographical references (p. 244-256).

Thesis (Ph. D.)--University of Missouri--Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 56-72, 152-166). Also available on the Internet.

In supporting the projection of bed requirements for Newfoundland to 1986, an extensive literature review was conducted to identify small area population projection methods and bed prediction models. A bed prediction model was developed for this study. For each health region, projected morbidity for diagnostic (bed) clusters was calculated by: projecting the age-sex population; holding 1976 age-sex cluster morbidity patterns and length of stay constant; projecting the base and flow referral morbidity patterns of four health regions and finally the projected morbidity patterns were combined and translated into beds and adjusted for occupancy. The population projection method was the Short Ratio. The diagnostic clusters were medical-surgical, obstetrical, pediatrics and psychiatry. The prediction of beds utilizing this model was compared with a bed to population rate method. It was demonstrated that bed requirements do change in respect of age-sex population changes. The requirements are stated for each region. This study suggests that the model used for bed and population projections are useful planning tools in Newfoundland because of ease in use. The elemental problem of supplying a population data base for each hospital district by age and sex was solved and is expected to be extremely useful in years to come. The usefulness will come from an evaluation of these methods and their acceptance as first steps in the planning process. / Medicine, Faculty of / Population and Public Health (SPPH), School of / Graduate

No description available.

The Patient Protection and Affordable Care Act of 2010 expanded rural Medicaid and Medicare coverage. However, different vehicles of delivering care (e.g., hospitals, health clinics, etc.) have differing organizational capacity that may or may not enable them to overcome the challenges of expanded provision. Consequently, this research employed structural contingency and organizational performance models to investigate the impact of organizational factors on productivity growth, while recognizing that contextual factors also affect the delivery of care. Latent growth curve modeling was used to study a national panel of 708 U.S. hospitalbased Rural Health Clinics for the years 2005 to 2008. Productivity was measured through dynamic slacks-based data envelopment analyses. Unconditional and conditional linear growth curve models were fitted to data. Findings revealed that 1) hospital-based clinics with higher baseline levels of productivity in 2005 had a slower rate of growth in productivity for the years 2006 to 2008, 2) hospital-based clinics with physicians had significantly higher productivity, 3) hospital-based clinics in urban focused areas had significantly higher productivity, 4) newer hospital-based clinics had significantly higher productivity, and 5) prospective payment system was negatively related to the rate of change in productivity growth. Organizational and contextual factors included in this study significantly explained initial differences in productivity but were unable to explain productivity growth. Future research could improve the study by 1) including additional explanatory variables, such as the use of technology and disease management programs, 2) adjusting productivity measures by case mix measures, and 3) conducting truncated panel data regression with Monte Carlo simulation.

South Africa has been brain drained of nurses and doctors and the Eastern Cape as a Province within South Africa is not an exception. Its rural nature has caused many nurses and doctors loose interest of serving in its facilities. This study sought to describe factors that can influence retention especially of nurses in the rural health facilities of the Eastern Cape Province and develop recommendations for nurse managers on how to retain nurses in rural areas. The major inferences drawn from this study is that nurses are dissatisfied with lack of promotional opportunities, lack of professional support, facing drastic responsibilities but with less income, tremendous workloads, emotional demands and unrealistic salary package. The researcher believes that the nurse managers have a crucial role to play in ensuring nurse retention and the recommendations drawn from this study can contribute in improving the work environment. / Health Studies / M.A. (Health Studies)

The purpose of the study was to assess the coverage and effectiveness of the management of severe acute malnutrition project implemented in Dhas district of Borena zone, Ethiopia, from July 2010 to December 2010. Quantitative, descriptive study was conducted to assess the comparability of the outcome of community-based management of acute malnutrition in a pastoralist area to International Sphere standards using performance indicators. Data collection was done using data capturing sheet. Outpatient therapeutic programme (OPT) registers in all health facilities were the sources of data. Clinical records of children admitted to the programme (n=163) were analysed. Standard nutrition survey result was used to estimate the malnutrition prevalence and programme coverage. International Sphere standard was achieved for mortality rate but not for recovery rate, defaulter rate, length of stay and weight gain / Health Studies / M.A. (Public Health)