Thesis (Ph. D.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains xvii, 327 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 311-323).

This dissertation investigates how healthcare provider networks are formed and their effects on patient health outcomes. The first chapter explores three types of hospital networks that are intended to improve coordination of patient care across different hospitals: integrated delivery systems, accountable care organizations, and electronic health records. Using 2007-2017 Healthcare Information and Management Systems Society IT data and Medicare data on accountable care organizations and hospital quality, I document several interesting patterns regarding the formation and potential effects of these networks in the United States. I find correlations consistent with assortative matching where higher quality hospitals match with higher quality groups, which may be inefficient if there are peer effects that mean higher quality groups could have more substantial influence on lower quality hospitals that have more room to improve. I show that accountable care organizations appear to be strategic about the network formation process, omitting hospitals that are natural members. They may do so for anticompetitive reasons–ordinary least square regressions find that accountable care organization market concentration is negatively correlated with hospital quality. These regressions additionally point to the need for caution in advocating for a unified electronic health record, as hospital quality is positively correlated with regional electronic health record market concentration–which is related to coordination abilities–but negatively correlated with national concentration–which is related to competition. The second chapter takes inspiration from the descriptive results of the first chapter and establishes a causal effect of electronic health record networks at the patient level. I hypothesize that systematic, reliable transfer of patient medical history can improve clinical decisions and thus health outcomes, especially during medical emergencies. Thus, I identify patients who had emergency cardiovascular episodes in 2007-2014 Medicare claims and use a difference-in-differences strategy to estimate the causal effect of their primary care and emergency hospitals being in the same electronic health record network. I find that electronic health record compatibility decreases the mortality rate but increases the rate of other bad health outcomes by approximately the same amount, suggesting that compatibility makes it easier for patients to survive given poor health but does not overall improve health otherwise. This result highlights the importance of analyzing the effects of healthcare treatments on both the rates of mortality and negative outcomes in survivors. Only looking at the rate of negative outcomes in survivors, electronic health record compatibility would have appeared to be a harmful treatment, while it was actually reducing mortality. The third chapter moves from hospital networks, which have only one type of agent, to look at physician-insurer networks, represented by a two-sided many-to-many matching market. I use Healthgrades and National Committee for Quality Assurance consumer ratings data to collect physician and insurance plan characteristics, respectively. Descriptive statistics indicate that higher quality physicians are in more insurance networks, while higher quality plans tend to be more restricted in the numbers of physicians they accept. There is a mild correlation between physician and plan quality, but there are many possible explanations for it. To test if it is due to assortative matching and to better understand how physicians and insurers decide with whom to contract, I estimate a structural many-to-many matching model using the matching maximum score estimator. Data quality and quantity appear to be obstacles in obtaining precise estimates, so I leave further exploration of this topic to future research.

Recent federal legislation has incentivized hospitals to focus on quality of patient care. A primary metric of care quality is patient readmissions. Many methods exist to statistically identify patients most likely to require hospital readmission. Correct identification of high-risk patients allows hospitals to intelligently utilize limited resources in mitigating hospital readmissions. However, these methods have seen little practical adoption in the clinical setting. This research attempts to identify the many open research questions that have impeded widespread adoption of predictive hospital readmission systems. Current systems often rely on structured data extracted from health records systems. This data can be expensive and time consuming to extract. Unstructured clinical notes are agnostic to the underlying records system and would decouple the predictive analytics system from the underlying records system. However, additional concerns in clinical natural language processing must be addressed before such a system can be implemented. Current systems often perform poorly using standard statistical measures. Misclassification cost of patient readmissions has yet to be addressed and there currently exists a gap between current readmission system evaluation metrics and those most appropriate in the clinical setting. Additionally, data availability for localized model creation has yet to be addressed by the research community. Large research hospitals may have sufficient data to build models, but many others do not. Simply combining data from many hospitals often results in a model which performs worse than using data from a single hospital. Current systems often produce a binary readmission classification. However, patients are often readmitted for differing reasons than index admission. There exists little research into predicting primary cause of readmission. Furthermore, co-occurring evidence discovery of clinical terms with primary diagnosis has seen only simplistic methods applied. This research addresses these concerns to increase adoption of predictive hospital readmission systems. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection

Nursing care is considered a primary predictor of patient assessment of the overall hospital experience. Yet, quality nursing care remains difficult to define. Limited research about nurse or patient perspectives on what constitutes quality nursing care in hospital settings prevents the identification of a shared description or insight into their possible interrelationship. Research about nurse and patient descriptions is needed to establish behaviors, attributes, and activities associated with quality nursing care to improve the health and well-being of hospitalized patients. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2015. / FAU Electronic Theses and Dissertations Collection

The implantable cardioverter defibrillator (ICD) is an electronic medical device that was invented by Dr. Michael Mirowski and his team in 1980. The purpose of the ICD, which is implanted in a person's chest, is to sense and shock the heart when detecting a lethal cardiac arrhythmia into a rhythm that can sustain life. While the ICD saves lives, it also has the potential to deliver painful shocks when it is activated. The ICD was initially inserted in people who had survived a sudden cardiac arrest; the device is now being implanted in older adults with heart failure and no known history of cardiac arrhythmias. When talking with patients and personal family members who had an ICD, it was unclear what influenced their decision to have an ICD implanted. Understanding the experience of decision-making for older adults who had an ICD has added to nursing knowledge, practice, and education when working with people who had an ICD inserted. To understand the lived experience, the researcher conducted a phenomenological research study, guided by the theoretical lens of Paterson and Zderad's (1976/1988) humanistic nursing and analyzed the data as outlined by Giorgi (2009). The results of the study indicated the participants' lived experience of decision-making for older adults who had an implantable cardioverter defibrillator inserted was influenced by the following : trust in their physician's decision; accepting the device was necessary; the decision was easy to make; and hope and desire to live longer. / by Louise A. Lucas. / Thesis (Ph.D.)--Florida Atlantic University, 2011. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.

Patients who are hospitalized and are without voice would like to participate in their care. This requires clear communication. Speak for Myself™ (SFM) was developed for use at the bedside so that communication may be facilitated between patient and nurse when the patient is voiceless. The objective of this study was to evaluate Speak for Myself™ at the bedside and to measure the outcomes. This was a mixed methods, one group pre-test-post-test, quasi-experimental study. Twenty adult patients in three hospitals in South Florida agreed to use Speak for Myself™ during their acute care hospital stay (M = 8.86 hours). This group of participants (n = 20) ranged from 45 to 91 years old (males = 14; females = 6). Of the participants, 15 (75%) self-identified as European American, 2 (10%) self-identified as Hispanic, 2 (10%) self-identified as African American, and 1 (5%) self-identified as Asian. Ten of the participants (50%) were in respiratory failure. Two (10%) were receiving oxygenation measures related to unspecified complications of their illnesses. Of the remaining eight participants (40%), one each was receiving oxygenation measures due to atrial fibrillation, arteriosclerotic heart disease, cardiogenic shock, endocarditis, neck abscess, renal failure, status post seizure activity, and tongue metastasis. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection

[Tuncated abstract] This research thesis consists of five sections. Section one provides the background information (chapter 1) and a description of characteristics of the cohort and the methods of analysis (chapter 2). The Acute Physiology and Chronic Health Evaluation (APACHE) II scoring system is one of commonly used severity of illness scoring systems in many intensive care units (ICUs). Section two of this thesis includes an assessment of the performance of the APACHE II scoring system in an Australian context. First, the performance of the APACHE II scoring system in predicting hospital mortality of critically ill patients in an ICU of a tertiary university teaching hospital in Western Australia was assessed (Chapter 3). Second, a simple modification of the traditional APACHE II scoring system, the 'admission APACHE II scoring system', generated by replacing the worst first 24-hour data by the ICU admission physiological and laboratory data was assessed (Chapter 3). Indigenous and Aboriginal Australians constitute a significant proportion of the population in Western Australia (3.2%) and have marked social disadvantage when compared to other Australians. The difference in the pattern of critical illness between indigenous and non-indigenous Australians and also whether the performance of the APACHE II scoring system was comparable between these two groups of critically ill patients in Western Australia was assessed (Chapter 4). Both discrimination and calibration are important indicators of the performance of a prognostic scoring system. ... The use of the APACHE II scoring system in patients readmitted to ICU during the same hospitalisation was evaluated and also whether incorporating events prior to the ICU readmission to the APACHE II scoring system would improve its ability to predict hospital mortality of ICU readmission was assessed in chapter 10. Whilst there have been a number of studies investigating predictors of post-ICU in-hospital mortality none have investigated whether unresolved or latent inflammation and sepsis may be an important predictor. Section four examines the role of inflammatory markers measured at ICU discharge on predicting ICU re- 4 admission (Chapter 11) and in-hospital mortality during the same hospitalisation (Chapter 12) and whether some of these inflammatory markers were more important than organ failure score and the APACHE II scoring system in predicting these outcomes. Section five describes the development of a new prognostic scoring system that can estimate median survival time and long term survival probabilities for critically ill patients (Chapter 13). An assessment of the effects of other factors such as socioeconomic status and Aboriginality on the long term survival of critically ill patients in an Australian ICU was assessed (Chapter 14). Section six provides the conclusions. Chapter 15 includes a summary and discussion of the findings of this thesis and outlines possible future directions for further research in this important aspect of intensive care medicine.

This thesis explores how decision-making agency roles played by doctors, pharmacists and government affect the social efficiency of choices in the prescription drug market. The primary objective is to contribute to the quality of expenditure decompositions in this sector and, thereby, to draw attention to the real cost of drug consumption in Canada. Expenditure growth in the pharmaceutical sector may occur because Canadians are purchasing more drugs or more in terms of the health outcomes sought through drug consumption. Prices may also be rising for the drugs that patients consume. Furthermore, with new generations of prescription drugs replacing older and often equally effective ones, expenditure inflation may be due, at least in part, to growing inefficiencies in consumption. Deflating nominal expenditures with traditional economic price indexes is a commonly used approach to decomposing expenditure changes into changes in price, changes in productivity or both. This method may be biased because decision-making agency relationships and non-standard financial incentives give rise to possible inefficiencies in the pharmaceutical sector that would not commonly be found in other sectors. This proposition is explored theoretically and empirically. Potential biases stemming from financial incentives are explored in the context of the measurement problem posed by the entry of generic drugs. Traditional techniques of the economic approach to measurement do not capture the full effect of generic competition because decision-making agents do not always have incentive to consider the full price of drugs consumed. Potential information-related problems in pharmaceutical price and productivity measurement are explored within the context of the hypertension market. Health outcomes based indexes are constructed for this treatment category based on recognized national guidelines for the treatment of hypertension. Economic indexes of price and productivity appear to overstate social productivity in this segment because persistent non-compliance with national guidelines has resulted in higher costs without corresponding health improvements.

[Truncated abstract] Physical healthcare uses a suite of tools for measuring response to treatment. However, reliable systems of regular patient monitoring are rare in mental healthcare. Mental health services often measure a treatment response from pre- to post- therapy, yet measurement between those occasions is less common. This omission is problematic since arguably there is a need for an alarm system in psychotherapy (Andrews & Page, 2005). A substantial minority of patients do not experience reliable change following treatment, and a small proportion deteriorates (Hansen, Lambert, & Forman, 2002; Newnham, Harwood, & Page, 2007). Without monitoring, it is not always possible to know which patients are progressing poorly. Since the publication of Howard and colleagues' (1996) proposal that patient progress be monitored routinely during therapy and the results fed back to clinicians to direct treatment, this monitoring regime has garnered attention in the United States and Europe (Lambert, 2007; Lutz, et al., 2006). Findings in outpatient psychotherapy have demonstrated that providing real-time feedback on patient progress to clinicians and patients significantly improves clinical outcomes for those patients demonstrating a negative response to treatment (Harmon et al., 2007; Lambert et al., 2001; Lambert et al., 2002). What is not yet apparent is how these processes would generalize to inpatient and day patient (i.e. patients attending hospital for a whole day of treatment) psychiatric care. Inpatients often present with greater severity and are treated in an intensive setting. ... Deviations from this expected pattern would highlight possible differences between inpatient and outpatient care. To develop an appropriate system for monitoring patient progress, it was important to first define clinically significant recovery in inpatient psychiatric care, and provide criteria for clinicians to judge outcome in routine practice (Newnham, Harwood, & Page, 2007). Second, a quick and easy-to-administer system of progress monitoring and real-time feedback was developed to enhance treatment decision making (Newnham, Hooke, & Page, 2009). Third, the system was evaluated to determine clinical effectiveness. Using the World Health Organization’s Wellbeing Index, a program for monitoring patient progress and providing feedback to clinicians and patients was established at Western Australia's largest private psychiatric service. The sample consisted of 1308 consecutive inpatients and day patients whose primary diagnoses were predominantly depressive (67.7%) and anxiety (25.9%) disorders. Feedback to patients and clinicians was effective in reducing depressive symptoms (F (1,649) = 6.29, p<.05) for those patients at risk of poor outcome, but not effective in improving wellbeing (F (1,569) = 1.14, p>.05). The findings support the use of progress monitoring and feedback in psychiatric care to improve symptom outcomes, but raise questions about changes in wellbeing during psychotherapy. The effectiveness study was conducted as a historical cohort trial, consistent with quality improvement efforts, and replication with a randomized controlled design is warranted. Feedback of progress information appears to be an important process within psychotherapy, and further investigation of the means by which clinicians and patients use that information is necessary.

Source: Masters Abstracts International, Volume: 46-05, page: 2667. Advisers: David P. Cappelli; Benjamin S. Bradshaw. Includes bibliographical references.