Cultural models of healing and health: An ethnography of professional nurses and healers

Cultural models of the domains healing and health are important in how people understand health and their behavior regarding it. The biomedicine model has been predominant in Western society. Recent popularity of holistic health and alternative healing modalities contrasts with the biomedical model and the assumptions upon which that model has been practiced. The holistic health movement characterizes an effort by health care providers and others such as nurses to expand the biomedical model and has often incorporated alternative modalities. This research described and compared the cultural models of healing of professional nurses and alternative healers. A group of nursing faculty who promote a holistic model were compared to a group of healers using healing touch. Ethnographic methods of participant observation, free listing and pile sort were used. Theoretical sampling in the free listings reached saturation at 18 in the group of nurses and 21 in the group of healers. Categories consistent for both groups emerged from the data. These were: physical, mental, attitude, relationships, spiritual, self management, and health seeking including biomedical and alternative resources. The healers had little differentiation between the concepts health and healing. The nurses, however, had more elements in self management for health and in health seeking for healing. This reflects the nurse's role in facilitating the shift in locus of responsibility between health and healing. The healers provided more specific information regarding alternative resources. The healer's conceptualization of health was embedded in a spiritual belief system and contrasted dramatically with that of biomedicine. The healer's models also contrasted with holistic health in the areas of holism, locus of responsibility, and dealing with uncertainty. The similarity between the groups and their dissimilarity to biomedicine suggest a larger cultural shift in beliefs regarding health care. ^

Quality of care for uninsured type 2 diabetic patients in a financial assistance medical home model

The medically uninsured population in the United States is 16% or 42 million people and consists of a significant number of Type 2 diabetic patients which is the predominant form of diabetes with 798,000 new cases diagnosed each year. There is limited health services research on uninsured populations concerning health system measures or specific disease conditions. ^ The purpose of this investigation was to determine the impact a newly implemented health care program had on the quality of care provided to patients with Type 2 diabetes. The primary study objective was to compare the quality of care while controlling for utilization, and health status of patients in the new program to their status during the previous financial assistance program. The research design was a retrospective matched-pairs design. The study population consisted of 225 patients who received medical care during 1996 and 1997 at the University Health System in San Antonio, Texas. ^ Six quality of care measures individually failed to demonstrate a statistically significant difference when compared between the two periods. However, an index measure reflecting the number of patients who received all six of the quality of care measures demonstrated a statistically significant increase in 1997 (p-value < 0.05). In 1996, 8 patients (2.6%) received all six medical management components. In 1997, 38 patients (16.8%) received all six medical management components. Four regression models were analyzed; two out of the four models demonstrated inconsistent results based on the program membership variable. ^ It is concluded that there has been a small effect of the Carelink program demonstrated by an increase from 8 to 38 patients receiving all quality of care components for Type 2 diabetics at the UHS. It is recommended that additional research be conducted in order to evaluate the quality of care provided to Type 2 diabetic patients. ^

Extended kalman filter for estimation of parameters in nonlinear state-space models of biochemical networks.

It is system dynamics that determines the function of cells, tissues and organisms. To develop mathematical models and estimate their parameters are an essential issue for studying dynamic behaviors of biological systems which include metabolic networks, genetic regulatory networks and signal transduction pathways, under perturbation of external stimuli. In general, biological dynamic systems are partially observed. Therefore, a natural way to model dynamic biological systems is to employ nonlinear state-space equations. Although statistical methods for parameter estimation of linear models in biological dynamic systems have been developed intensively in the recent years, the estimation of both states and parameters of nonlinear dynamic systems remains a challenging task. In this report, we apply extended Kalman Filter (EKF) to the estimation of both states and parameters of nonlinear state-space models. To evaluate the performance of the EKF for parameter estimation, we apply the EKF to a simulation dataset and two real datasets: JAK-STAT signal transduction pathway and Ras/Raf/MEK/ERK signaling transduction pathways datasets. The preliminary results show that EKF can accurately estimate the parameters and predict states in nonlinear state-space equations for modeling dynamic biochemical networks.

POLG DNA testing as an emerging standard of care before instituting valproic acid therapy for pediatric seizure disorders.

PURPOSE: To review our clinical experience and determine if there are appropriate signs and symptoms to consider POLG sequencing prior to valproic acid (VPA) dosing in patients with seizures. METHODS: Four patients who developed VPA-induced hepatotoxicity were examined for POLG sequence variations. A subsequent chart review was used to describe clinical course prior to and after VPA dosing. RESULTS: Four patients of multiple different ethnicities, age 3-18 years, developed VPA-induced hepatotoxicity. All were given VPA due to intractable partial seizures. Three of the patients had developed epilepsia partialis continua. The time from VPA exposure to liver failure was between 2 and 3 months. Liver failure was reversible in one patient. Molecular studies revealed homozygous p.R597W or p.A467T mutations in two patients. The other two patients showed compound heterozygous mutations, p.A467T/p.Q68X and p.L83P/p.G888S. Clinical findings and POLG mutations were diagnostic of Alpers-Huttenlocher syndrome. CONCLUSION: Our cases underscore several important findings: POLG mutations have been observed in every ethnic group studied to date; early predominance of epileptiform discharges over the occipital region is common in POLG-induced epilepsy; the EEG and MRI findings varying between patients and stages of the disease; and VPA dosing at any stage of Alpers-Huttenlocher syndrome can precipitate liver failure. Our data support an emerging proposal that POLG gene testing should be considered in any child or adolescent who presents or develops intractable seizures with or without status epilepticus or epilepsia partialis continua, particularly when there is a history of psychomotor regression.

Molecular cross talk between misfolded proteins in animal models of Alzheimer's and prion diseases.

The central event in protein misfolding disorders (PMDs) is the accumulation of a misfolded form of a naturally expressed protein. Despite the diversity of clinical symptoms associated with different PMDs, many similarities in their mechanism suggest that distinct pathologies may cross talk at the molecular level. The main goal of this study was to analyze the interaction of the protein misfolding processes implicated in Alzheimer's and prion diseases. For this purpose, we inoculated prions in an Alzheimer's transgenic mouse model that develop typical amyloid plaques and followed the progression of pathological changes over time. Our findings show a dramatic acceleration and exacerbation of both pathologies. The onset of prion disease symptoms in transgenic mice appeared significantly faster with a concomitant increase on the level of misfolded prion protein in the brain. A striking increase in amyloid plaque deposition was observed in prion-infected mice compared with their noninoculated counterparts. Histological and biochemical studies showed the association of the two misfolded proteins in the brain and in vitro experiments showed that protein misfolding can be enhanced by a cross-seeding mechanism. These results suggest a profound interaction between Alzheimer's and prion pathologies, indicating that one protein misfolding process may be an important risk factor for the development of a second one. Our findings may have important implications to understand the origin and progression of PMDs.

Genetic and hormonal factors modulate spreading depression and transient hemiparesis in mouse models of familial hemiplegic migraine type 1.

Familial hemiplegic migraine type 1 (FHM1) is an autosomal dominant subtype of migraine with aura that is associated with hemiparesis. As with other types of migraine, it affects women more frequently than men. FHM1 is caused by mutations in the CACNA1A gene, which encodes the alpha1A subunit of Cav2.1 channels; the R192Q mutation in CACNA1A causes a mild form of FHM1, whereas the S218L mutation causes a severe, often lethal phenotype. Spreading depression (SD), a slowly propagating neuronal and glial cell depolarization that leads to depression of neuronal activity, is the most likely cause of migraine aura. Here, we have shown that transgenic mice expressing R192Q or S218L FHM1 mutations have increased SD frequency and propagation speed; enhanced corticostriatal propagation; and, similar to the human FHM1 phenotype, more severe and prolonged post-SD neurological deficits. The susceptibility to SD and neurological deficits is affected by allele dosage and is higher in S218L than R192Q mutants. Further, female S218L and R192Q mutant mice were more susceptible to SD and neurological deficits than males. This sex difference was abrogated by ovariectomy and senescence and was partially restored by estrogen replacement, implicating ovarian hormones in the observed sex differences in humans with FHM1. These findings demonstrate that genetic and hormonal factors modulate susceptibility to SD and neurological deficits in FHM1 mutant mice, providing a potential mechanism for the phenotypic diversity of human migraine and aura.

THE MECHANISM OF TUMORIGENESIS IN THE IMMORTALIZED HUMAN PANCREATIC CELL LINES: CELL CULTURE MODELS OF HUMAN PANCREATIC CANCER

The mechanism of tumorigenesis in the immortalized human pancreatic cell lines: cell culture models of human pancreatic cancer Pancreatic ductal adenocarcinoma (PDAC) is the most lethal cancer in the world. The most common genetic lesions identified in PDAC include activation of K-ras (90%) and Her2 (70%), loss of p16 (95%) and p14 (40%), inactivation p53 (50-75%) and Smad4 (55%). However, the role of these signature gene alterations in PDAC is still not well understood, especially, how these genetic lesions individually or in combination contribute mechanistically to human pancreatic oncogenesis is still elusive. Moreover, a cell culture transformation model with sequential accumulation of signature genetic alterations in human pancreatic ductal cells that resembles the multiple-step human pancreatic carcinogenesis is still not established. In the present study, through the stepwise introduction of the signature genetic alterations in PDAC into the HPV16-E6E7 immortalized human pancreatic duct epithelial (HPDE) cell line and the hTERT immortalized human pancreatic ductal HPNE cell line, we developed the novel experimental cell culture transformation models with the most frequent gene alterations in PDAC and further dissected the molecular mechanism of transformation. We demonstrated that the combination of activation of K-ras and Her2, inactivation of p16/p14 and Smad4, or K-ras mutation plus p16 inactivation, was sufficient for the tumorigenic transformation of HPDE or HPNE cells respectively. We found that these transformed cells exhibited enhanced cell proliferation, anchorage-independent growth in soft agar, and grew tumors with PDAC histopathological features in orthotopic mouse model. Molecular analysis showed that the activation of K-ras and Her2 downstream effector pathways –MAPK, RalA, FAK, together with upregulation of cyclins and c-myc were involved in the malignant transformation. We discovered that MDM2, BMP7 and Bmi-1 were overexpressed in the tumorigenic HPDE cells, and that Smad4 played important roles in regulation of BMP7 and Bmi-1 gene expression and the tumorigenic transformation of HPDE cells. IPA signaling pathway analysis of microarray data revealed that abnormal signaling pathways are involved in transformation. This study is the first complete transformation model of human pancreatic ductal cells with the most common gene alterations in PDAC. Altogether, these novel transformation models more closely recapitulate the human pancreatic carcinogenesis from the cell origin, gene lesion, and activation of specific signaling pathway and histopathological features.

Comparison of cost and outcome of care in patients with low back pain who are managed by physicians or physical therapists in private practice

The purpose of this study was to determine if there were differences in the cost and outcome of care in patients with low back pain who were managed by physicians or physical therapists in private practice in the state of Arizona. A secondary purpose was to describe the current status of private practice physical therapy clinicians who treat patients with low back pain.^ A Survey on Practice was mailed to 194 physical therapists who were listed by the American Physical Therapy Association as being in private practice in Arizona. Eighty-three percent of the surveys were returned after three attempts. Of those which were returned, 72 were complete and included in the analysis.^ The 72 practices were screened to determine those eligible for the second phase of the study. Those eligible for the second phase numbered 52 clinics. Twenty-six practices agreed to participate; however, only 21 did participate. Clinics which participated were sent packets of information which were to be kept on each patient seen with a complaint of low back pain during a three month period. Packets contained a patient-oriented survey on functional activity to be completed before and after the physical therapy course of treatment, as well as a log which was completed by the physical therapist on the type of care given to the patient and an assessment of the outcome of treatment. The patient was asked to fill out a satisfaction survey relative to the care received from the physical therapist and physician, if applicable.^ Although 259 patients were entered into the study, 210 patient logs were available for analysis. Results indicated that generally, there was no difference in cost or outcome as measured by the final functional score, change between the initial and final functional scores, or the therapist-rated outcome between the patients who were managed by physicians or physical therapists when controlling for age and length of time the patient was experiencing pain. Patients were more satisfied with care received from physical therapists as compared to physicians. Age and length of pain were good predictors of the type of referral patients received according to a logistic regression procedure. The initial disability score (IRS) and the time spent in the facility predicted therapist-rated outcome, a good or poor final disability score (FRS), and a good or poor change score. In addition, age predicted FRS and change scores. The time that the therapist spent in direct contact with the patient also predicted the change score.^ These findings of no difference in the cost and outcome of care were discussed as they relate to the practice of medicine and physical therapy. ^

Models of DNA sequence evolution

Models of DNA sequence evolution and methods for estimating evolutionary distances are needed for studying the rate and pattern of molecular evolution and for inferring the evolutionary relationships of organisms or genes. In this dissertation, several new models and methods are developed.^ The rate variation among nucleotide sites: To obtain unbiased estimates of evolutionary distances, the rate heterogeneity among nucleotide sites of a gene should be considered. Commonly, it is assumed that the substitution rate varies among sites according to a gamma distribution (gamma model) or, more generally, an invariant+gamma model which includes some invariable sites. A maximum likelihood (ML) approach was developed for estimating the shape parameter of the gamma distribution $(\alpha)$ and/or the proportion of invariable sites $(\theta).$ Computer simulation showed that (1) under the gamma model, $\alpha$ can be well estimated from 3 or 4 sequences if the sequence length is long; and (2) the distance estimate is unbiased and robust against violations of the assumptions of the invariant+gamma model.^ However, this ML method requires a huge amount of computational time and is useful only for less than 6 sequences. Therefore, I developed a fast method for estimating $\alpha,$ which is easy to implement and requires no knowledge of tree. A computer program was developed for estimating $\alpha$ and evolutionary distances, which can handle the number of sequences as large as 30.^ Evolutionary distances under the stationary, time-reversible (SR) model: The SR model is a general model of nucleotide substitution, which assumes (i) stationary nucleotide frequencies and (ii) time-reversibility. It can be extended to SRV model which allows rate variation among sites. I developed a method for estimating the distance under the SR or SRV model, as well as the variance-covariance matrix of distances. Computer simulation showed that the SR method is better than a simpler method when the sequence length $L>1,000$ bp and is robust against deviations from time-reversibility. As expected, when the rate varies among sites, the SRV method is much better than the SR method.^ The evolutionary distances under nonstationary nucleotide frequencies: The statistical properties of the paralinear and LogDet distances under nonstationary nucleotide frequencies were studied. First, I developed formulas for correcting the estimation biases of the paralinear and LogDet distances. The performances of these formulas and the formulas for sampling variances were examined by computer simulation. Second, I developed a method for estimating the variance-covariance matrix of the paralinear distance, so that statistical tests of phylogenies can be conducted when the nucleotide frequencies are nonstationary. Third, a new method for testing the molecular clock hypothesis was developed in the nonstationary case. ^

Patterns of care and outcomes for pregnant inmates and their infants in Texas state prisons: Epidemiologic and ethnographic analyses

Female inmates make up the fastest growing segment in our criminal justice system today. The rapidly increasing trend for female prisoners calls for enhanced efforts to strategically plan the correctional facilities that address the needs of this growing population, and to work with communities to prevent crime in women. The incarcerated women in the U.S. have an estimated 145,000 minor children who are predisposed to unique psychosocial problems as a result of parental incarceration.^ This study examined the patterns of care and outcomes for pregnant inmates and their infants in Texas state prisons between 1994 and 1996. The study population consists of 202 pregnant inmates who delivered in a 2-year period, and a randomly sampled comparison cohort of 804 women from general Texas population, matched on race and educational levels. Both quantitative and qualitative data were used to elucidate the inmates' risk-factor profile, delivery/birth outcomes, and the patterns of care during pregnancy. The continuity-of-care issues for this population were also explored.^ Epidemiologic data were derived from multiple record systems to establish the comparison between two cohorts. A significantly great proportion of the inmates have prior lifestyle risk-factors (smoking, alcohol, and illicit drug abuse), poorer health status, and worse medical history. However, most of these existing risk-factors seem to show little manifestation in their current pregnancy. On the basis of maternal labor/delivery outcome and a number of neonatal indicators, this study found some evidence of a better pregnancy outcome for the inmate cohort when compared to the comparison group. Some possible explanations of this paradox were discussed. Seventeen percent of inmates gave birth to infants with suspected congenital syphilis. The placement patterns for the infants' care immediately after birth were elucidated.^ In addition to the quantitative data, an ethnographic approach was used to collect qualitative data from a subset of the inmate cohort (n = 20) and 12 care providers. The qualitative data were analyzed for their contents and themes, giving rise to a detailed description of the inmates' pregnancy experience. Eleven themes emerged from the study's thematic analysis, which provides the context for interpreting the epidemiologic data.^ Meaningful findings in this study were presented in a three-dimensional matrix to shed light on the apparent relationship between outcome indicators and their potential determinants. The suspected "linkages" between the outcome and their determinants can be used to generate hypotheses for future studies. ^

A comparison of Markov and generalized linear models of hospital mortality

This paper reports a comparison of three modeling strategies for the analysis of hospital mortality in a sample of general medicine inpatients in a Department of Veterans Affairs medical center. Logistic regression, a Markov chain model, and longitudinal logistic regression were evaluated on predictive performance as measured by the c-index and on accuracy of expected numbers of deaths compared to observed. The logistic regression used patient information collected at admission; the Markov model was comprised of two absorbing states for discharge and death and three transient states reflecting increasing severity of illness as measured by laboratory data collected during the hospital stay; longitudinal regression employed Generalized Estimating Equations (GEE) to model covariance structure for the repeated binary outcome. Results showed that the logistic regression predicted hospital mortality as well as the alternative methods but was limited in scope of application. The Markov chain provides insights into how day to day changes of illness severity lead to discharge or death. The longitudinal logistic regression showed that increasing illness trajectory is associated with hospital mortality. The conclusion is reached that for standard applications in modeling hospital mortality, logistic regression is adequate, but for new challenges facing health services research today, alternative methods are equally predictive, practical, and can provide new insights. ^

Health information exchange: Using metrics to address quality of care and return on investment

Health Information Exchange (HIE) will play a key part in our nation’s effort to improve healthcare. The evidence of HIEs transformational role in healthcare delivery systems is quite limited. The lack of such evidence led us to explore what exists in the healthcare industry that may provide evidence of effectiveness and efficiency of HIEs. The objective of the study was to find out how many fully functional HIEs are using any measurements or metrics to gauge impact of HIE on quality improvement (QI) and on return on investment (ROI).^ A web-based survey was used to determine the number of operational HIEs using metrics for QI and ROI. Our study highlights the fact that only 50 percent of the HIEs who responded use or plan to use metrics. However, 95 percent of the respondents believed HIEs improve quality of care while only 56 percent believed HIE showed positive ROI. Although operational HIEs present numerous opportunities to demonstrate the business model for improving health care quality, evidence to document the impact of HIEs is lacking. ^

Perinatal mortality and quality of care at the National Institute of Perinatology: A 3-year analysis

Quality of medical care has been indirectly assessed through the collection of negative outcomes. A preventable death is one that could have been avoided if optimum care had been offered. The general objective of the present project was to analyze the perinatal mortality at the National Institute of Perinatology (located in Mexico City) by social, biological and some available components of quality of care such as avoidability, provider responsibility, and structure and process deficiencies in the delivery of medical care. A Perinatal Mortality Committee data base was utilized. The study population consisted of all singleton perinatal deaths occurring between January 1, 1988 and June 30, 1991 (n = 522). A proportionate study was designed.^ The population studied mostly corresponded to married young adult mothers, who were residents of urban areas, with an educational level of junior high school or more, two to three pregnancies, and intermediate prenatal care. The mean gestational age at birth was 33.4 $\pm$ 3.9 completed weeks and the mean birthweight at birth was 1,791.9 $\pm$ 853.1 grams.^ Thirty-five percent of perinatal deaths were categorized as avoidable. Postnatal infection and premature rupture of membranes were the most frequent primary causes of avoidable perinatal death. The avoidable perinatal mortality rate was 8.7 per 1000 and significantly declined during the study period (p $<$.05). Preventable perinatal mortality aggregated data suggested that at least part of the mortality decline for amenable conditions was due to better medical care.^ Structure deficiencies were present in 35% of avoidable deaths and process deficiencies were present in 79%. Structure deficiencies remained constant over time. Process deficiencies consisted of diagnosis failures (45.8%) and treatment failures (87.3%), they also remained constant through the years. Party responsibility was as follows: Obstetric (35.4%), pediatric (41.4%), institutional (26.5%), and patient (6.6%). Obstetric responsibility significantly increased during the study period (p $<$.05). Pediatric responsibility declined only for newborns less than 1500 g (p $<$.05). Institutional responsibility remained constant.^ Process deficiencies increased the risk for an avoidable death eightfold (confidence interval 1.7-41.4, p $<$.01) and provider responsibility ninety-fivefold (confidence interval 14.8-612.1, p $<$.001), after adjustment for several confounding variables. Perinatal mortality due to prematurity, barotrauma and nosocomial infection, was highly preventable, but not that due to transpartum asphyxia. Once specific deficiencies in the quality of care have been identified, quality assurance actions should begin. ^

International comparison of wait times and quality of care: A pilot study

During the healthcare reform debate in the United States in 2009/2010, many health policy experts expressed a concern that expanding coverage would increase waiting times for patients to obtain care. Many complained that delays in obtaining care in turn would compromise the quality of healthcare in the United States. Using data from The Commonwealth Fund 2010 International Health Policy Survey in Eleven Countries, this study explored the relationship between wait times and quality of care, employing a wait time scale and several quality of care indicators present in the dataset. The impact of wait times on quality was assessed. Increased wait time was expected to reduce quality of care. However, this study found that wait times correlated with better health outcomes for some measures, and had no association with others. Since this is a pilot study and statistical significance was not achieved for any of the correlations, further research is needed to confirm and deepen the findings. However, if future studies confirm this finding, an emphasis on reducing wait times at the expense of other health system level performance variables may be inappropriate. ^

Differences in performance for quality of care indicators for acute myocardial infarction (AMI) across various hospital categories in Texas

The study analyzed Hospital Compare data for Medicare Fee-for-service patients at least 65 years of age to determine whether hospital performance for AMI outcome and processes of care measures differ amongst Texas hospitals with respect to ownership status (for profit vs. not-for-profit), academic status (teaching vs. non-teaching) and geographical setting (rural vs. urban). ^ The study found a statistically significant difference between for-profit and not-for-profit hospitals in four process-of-care measures (aspirin at discharge, P=0.028; ACE or ARB inhibitor for LSVD, P=0.048; Smoking cessation advice: P=0.034; outpatients who got aspirin with 24 hours of arrival in the ED, P=0.044). No significant difference in performance was found between COTH-member teaching and non-teaching hospitals for any of the eight process-of-care measures or the two outcome measures for AMI. The study was unable to compare performance based on geographic setting of hospitals due to lack of sufficient data for rural hospitals. ^ The results of the study suggest that for-profit Texas hospitals might be slightly better than not-for –profit hospitals at providing possible heart attack patients with certain processes of care.^