The transformation of a health care system: An ecology perspective

Beginning in the early 1980s, the health care system experienced momentous realignments. Fundamental changes in structures of traditional health care organizations, shifts in authority and relationships of professionals and institutions, and the increasing influence of managed care contributed to a relatively stable industry entering into a state of turbulence. The dynamics of these changes are recurring themes in the health services literature. The purpose of this dissertation was to examine the content of this literature over a defined time period and within the perspective of a theory of organizational change. ^ Using a theoretical framework based upon the organizational theory known as Organizational Ecology, secondary data from the period between 1983 and 1994 was reviewed. Analysis of the literature identified through a defined search methodology was focused upon determining the manner in which the literature characterized changes that were described. Using a model constructed from fundamentals of Organizational Ecology with which to structure an assessment of content, literature was summarized for the manner and extent of change in specific organizational forms and for the changes in emphasis by the environmental dynamics directing changes in the population of organizations. Although it was not the intent of the analysis to substantiate causal relationships between environmental resources selected as the determinants of organizational change and the observed changes in organizational forms, the structured review of content of the literature established a strong basis for inferring such a relationship. ^ The results of the integrative review of the literature and the power of the appraisal achieved through the theoretical framework constructed for the analysis indicate that there is considerable value in such an approach. An historical perspective on changes which have transformed the health care system developed within a defined organizational theory provide a unique insight into these changes and indicate the need for further development of such an analytical model. ^

Comparison of a traditional and a multilevel Cox Proportional Hazards model

Hierarchically clustered populations are often encountered in public health research, but the traditional methods used in analyzing this type of data are not always adequate. In the case of survival time data, more appropriate methods have only begun to surface in the last couple of decades. Such methods include multilevel statistical techniques which, although more complicated to implement than traditional methods, are more appropriate. ^ One population that is known to exhibit a hierarchical structure is that of patients who utilize the health care system of the Department of Veterans Affairs where patients are grouped not only by hospital, but also by geographic network (VISN). This project analyzes survival time data sets housed at the Houston Veterans Affairs Medical Center Research Department using two different Cox Proportional Hazards regression models, a traditional model and a multilevel model. VISNs that exhibit significantly higher or lower survival rates than the rest are identified separately for each model. ^ In this particular case, although there are differences in the results of the two models, it is not enough to warrant using the more complex multilevel technique. This is shown by the small estimates of variance associated with levels two and three in the multilevel Cox analysis. Much of the differences that are exhibited in identification of VISNs with high or low survival rates is attributable to computer hardware difficulties rather than to any significant improvements in the model. ^

Understanding mental illness in Nigeria: Bringing culture and traditional medicine into mental health policy

One of the major challenges in treating mental illness in Nigeria is that the health care facilities and mental health care professionals are not enough in number or well equipped to handle the burden of mental illness. There are several barriers to treatment for individual Nigerians which include the following: such as the lack of understanding of the root causes of mental illness, lack of financial support to get mental treatment, lack of social support (family, friends, neighbors), the fear of stigmatization concerning being labeled as mentally ill or being in association with the mentally ill, and the consultation of traditional native healers who may be unknowingly prolonging illness, rather than addressing and treating them due to lack of formal education and standardization of their treatments. Another barrier is the non-health nature of the mental health services in Nigeria. Traditional healers are essentially the mental health system. The elderly, women, and children are the most vulnerable groups in times of strife and hardships. Their mental well-being must be taken into account as well as their special needs in times of personal or societal crisis. ^ Nigerian mental health policy is geared toward forming a mental health system, but in actuality only a mental illness care system is the observed result of the policy. The government of Nigeria has drafted a mental health policy, yet its actual implementation into the Nigerian health infrastructure and society waits to be materialized. The limited health legislation or policy implementations tend to favor those who have access to these urban areas and the facilities' health services. Nigerians living in rural areas are at a disadvantage; many of them may not even be aware of services available to help them understand and treat mental illness. Perhaps, government driven health interventions geared toward mental illness in rural areas would reach an underserved Nigerians and Africans in general. Issues with political instability and limited infrastructure often hinder crucial financial resources and legislation from reaching the people that are truly in need of governmental leadership in regards to mental health policy.^ Traditional healers are a severely untapped resource in the treatment of mental illness within the Nigerian population. They are abundant within Nigerian communities and are meeting a real need for the mentally ill. However, much can be done to remove the barriers that prevent the integration of traditional healers within the mental health system and improve the quality of care they administer within the population. Mental illness is almost exclusively coped with through traditional medicine practices. Mobilization and education from each strata of Nigerian society and government as well as input from the medical community can improve how traditional medicine is utilized as a treatment for clinical illness and help alleviate the heavy burden of mental illness in Nigeria. Currently, there is no existing policy making structure for a working mental health system in Nigeria, and traditional healers are not taken into account in any formulation of mental health policy. Advocacy for mental illness is severely inadequate due to fear of stigmatization, with no formally recognized national of regional mental health association.^

COMPREHENSIVE CALCULATION-BASED IMRT QA USING R&V DATA, TREATMENT RECORDS, AND A SECOND TREATMENT PLANNING SYSTEM

Purpose: Traditional patient-specific IMRT QA measurements are labor intensive and consume machine time. Calculation-based IMRT QA methods typically are not comprehensive. We have developed a comprehensive calculation-based IMRT QA method to detect uncertainties introduced by the initial dose calculation, the data transfer through the Record-and-Verify (R&V) system, and various aspects of the physical delivery. Methods: We recomputed the treatment plans in the patient geometry for 48 cases using data from the R&V, and from the delivery unit to calculate the “as-transferred” and “as-delivered” doses respectively. These data were sent to the original TPS to verify transfer and delivery or to a second TPS to verify the original calculation. For each dataset we examined the dose computed from the R&V record (RV) and from the delivery records (Tx), and the dose computed with a second verification TPS (vTPS). Each verification dose was compared to the clinical dose distribution using 3D gamma analysis and by comparison of mean dose and ROI-specific dose levels to target volumes. Plans were also compared to IMRT QA absolute and relative dose measurements. Results: The average 3D gamma passing percentages using 3%-3mm, 2%-2mm, and 1%-1mm criteria for the RV plan were 100.0 (σ=0.0), 100.0 (σ=0.0), and 100.0 (σ=0.1); for the Tx plan they were 100.0 (σ=0.0), 100.0 (σ=0.0), and 99.0 (σ=1.4); and for the vTPS plan they were 99.3 (σ=0.6), 97.2 (σ=1.5), and 79.0 (σ=8.6). When comparing target volume doses in the RV, Tx, and vTPS plans to the clinical plans, the average ratios of ROI mean doses were 0.999 (σ=0.001), 1.001 (σ=0.002), and 0.990 (σ=0.009) and ROI-specific dose levels were 0.999 (σ=0.001), 1.001 (σ=0.002), and 0.980 (σ=0.043), respectively. Comparing the clinical, RV, TR, and vTPS calculated doses to the IMRT QA measurements for all 48 patients, the average ratios for absolute doses were 0.999 (σ=0.013), 0.998 (σ=0.013), 0.999 σ=0.015), and 0.990 (σ=0.012), respectively, and the average 2D gamma(5%-3mm) passing percentages for relative doses for 9 patients was were 99.36 (σ=0.68), 99.50 (σ=0.49), 99.13 (σ=0.84), and 98.76 (σ=1.66), respectively. Conclusions: Together with mechanical and dosimetric QA, our calculation-based IMRT QA method promises to minimize the need for patient-specific QA measurements by identifying outliers in need of further review.