Family Preservation and Support: Past, Present, and Future

As the family preservation and support movement evolves rapidly, this article overviews the past, present and future of this approach to policy and services. Building upon several decades of practice experience and research, and now federally funded, program designers are searching for ways to implement system wide change with an array of services all from a family focus, and strengths perspective. Critical issues facing the movement are discussed and a set of benchmarks to judge our future success is presented.

Back pain in migrant farmworker families and farmworker high school students from Starr County, Texas

Back symptoms are a major global public health problem with the lifetime prevalence ranging between 50-80%. Research suggests that work-related factors contribute to the occurrence of back pain in various industries. Despite the hazardous nature, strenuous tasks, and awkward postures associated with farm work, little is known about back injury and symptoms in farmworker adults and children. Research in the United States is particularly limited. This is a concern given the large proportion of migrant farmworkers in the United States without adequate access to healthcare as well as a substantial number of youth working in agriculture. The present study describes back symptoms and identifies work-related factors associated with back pain in migrant farmworker families and farmworker high school students from Starr County, TX. Two separate datasets were used from two cohort studies "Injury and Illness Surveillance in Migrant Farmworkers (MANOS)" (study A: n=267 families) and "South Texas Adolescent Rural Research Study (STARRS)" (study B: n=345). Descriptive and inferential statistics including multivariable logistic regression were used to identify work-related factors associated with back pain in each study. In migrant farmworker families, the prevalence of chronic back pain during the last migration season ranged from 9.5% among youngest children to 33.3% among mothers. Chronic back pain was significantly associated with increasing age; fairly bad/very bad quality of sleep while migrating; fewer than eight hours of sleep at home in Starr County, TX; depressive symptoms while migrating; self-provided water for washing hands/drinking; weeding at work; and exposure to pesticide drift/direct spray. Among farmworker adolescents, the prevalence of severe back symptoms was 15.7%. Severe back symptoms were significantly associated with being female; history of a prior accident/back injury; feeling tense, stressed, or anxious sometimes/often; lifting/carrying heavy objects not at work; current tobacco use; increasing lifetime number of migrant farmworker years; working with/around knives; and working on corn crops. Overall, results support that associations between work-related exposures and chronic back pain and severe back symptoms remain after controlling for the effect of non-work exposures in farmworker populations. ^

REGRESSION ANALYSIS FOR STANDARDIZED MORTALITY RATIOS WITH APPLICATION TO OCCUPATIONAL FOLLOW-UP STUDIES

Traditional comparison of standardized mortality ratios (SMRs) can be misleading if the age-specific mortality ratios are not homogeneous. For this reason, a regression model has been developed which incorporates the mortality ratio as a function of age. This model is then applied to mortality data from an occupational cohort study. The nature of the occupational data necessitates the investigation of mortality ratios which increase with age. These occupational data are used primarily to illustrate and develop the statistical methodology.^ The age-specific mortality ratio (MR) for the covariates of interest can be written as MR(,ij...m) = ((mu)(,ij...m)/(theta)(,ij...m)) = r(.)exp (Z('')(,ij...m)(beta)) where (mu)(,ij...m) and (theta)(,ij...m) denote the force of mortality in the study and chosen standard populations in the ij...m('th) stratum, respectively, r is the intercept, Z(,ij...m) is the vector of covariables associated with the i('th) age interval, and (beta) is a vector of regression coefficients associated with these covariables. A Newton-Raphson iterative procedure has been used for determining the maximum likelihood estimates of the regression coefficients.^ This model provides a statistical method for a logical and easily interpretable explanation of an occupational cohort mortality experience. Since it gives a reasonable fit to the mortality data, it can also be concluded that the model is fairly realistic. The traditional statistical method for the analysis of occupational cohort mortality data is to present a summary index such as the SMR under the assumption of constant (homogeneous) age-specific mortality ratios. Since the mortality ratios for occupational groups usually increase with age, the homogeneity assumption of the age-specific mortality ratios is often untenable. The traditional method of comparing SMRs under the homogeneity assumption is a special case of this model, without age as a covariate.^ This model also provides a statistical technique to evaluate the relative risk between two SMRs or a dose-response relationship among several SMRs. The model presented has application in the medical, demographic and epidemiologic areas. The methods developed in this thesis are suitable for future analyses of mortality or morbidity data when the age-specific mortality/morbidity experience is a function of age or when there is an interaction effect between confounding variables needs to be evaluated. ^

An evaluation of the centers for Medicare & Medicaid Services' Hospital Acquired Conditions and Present on Admission Indicator Reporting program

Objective: This dissertation evaluated three aspects of the Centers for Medicare and Medicaid Services' Hospital Acquired Conditions and Present on Admission Indicator Reporting program (HACPOA program) to produce three journal articles for publication. ^ Methods: All payer admission records from state inpatient databases from Arizona, New Jersey and Washington states were analyzed for the year 2008. However some analyses required a sample of adult only Medicare patients in the first two studies. California's inpatient data (2004 – 2010) was also analyzed in the third study to examine the reporting and non-payment program elements' impact on the incidence of hospital acquired conditions. ^ Results: Majority diagnoses reported in inpatient prospective payment systems hospitals were present on admission. However, some diagnoses are still coded as "not present on admission" and "insufficient documentation to determine whether or not conditions are present on admission or not". This is important because it reveals that hospital complications still occur in hospitals. Hospital fall and trauma injuries were the most common hospital acquired conditions observed in this study. Predictors of hospital fall injuries include age, gender, number of diagnoses, number of procedures, number of chronic conditions while predictors of hospital trauma injuries include number of e-codes, number of diagnoses and the presence of chronic conditions on a patient's admission records. Finally, the implementation of the present on admission reporting requirement increased reports of certain hospital acquired conditions while the non-payment policy element in the Hospital Acquired Conditions program reduced the incidence of hospital fall and trauma injuries in particular. ^ Conclusion: The implementation of the Hospital Acquired Conditions and Present on Admission Indicator Reporting program has made the state inpatient database a more useful source of data capable of now identifying hospital complications. The reporting and nonpayment program elements in the HACPOA program have also impacted the incidence of hospital acquired conditions. ^

Characterization of the MLC box: A conserved {\it cis\/}-acting DNA element present in the chicken MLC1s/1c gene

The slow/cardiac alkali myosin light chain (MLC1s/1c) is a member of a multigene family whose protein products are essential for activation of the myosin ATPase. In the adult, the MLC1s/1c isoform is expressed in both cardiac and slow-twitch skeletal muscles, while it is expressed by all skeletal muscles during development.^ To elucidate the molecular mechanisms that underlie the transcriptional regulation of MLC1s/1c gene expression, the immediate 5$\sp\prime$ flanking region of the gene was isolated and shown to be capable of directing reporter gene expression. Analysis of this region revealed a 110 bp muscle-specific enhancer that includes a myocyte-specific enhancer-binding factor 2 (MEF-2) site, E-boxes, which are potential binding sites for the basic-helix-loop-helix proteins such as MyoD, and a MLC box. The focus of the thesis was to identify the role of the MLC box in expression of the MLC1s/1c gene.^ The MLC box is a member of the family of CArG box containing cis-acting DNA elements. Mutagenesis showed that the MLC box is necessary, but not sufficient, for the expression of a reporter gene linked to the 5$\sp\prime$ flanking region of the MLC1s/1c gene. Linker scanner and site-directed mutagenesis identified a number of potential sites within the 110 bp muscle-specific enhancer that may cooperate with the MLC box. These are the MEF-2 site, the E-box site, and a 10 bp element located upstream of the MEF-2 site that does not have sequence similarity with any known cis-acting element. The MLC box is capable of binding to factors present in muscle nuclear extracts, as well as to human recombinant serum response factor (SRF). Binding of SRF to the MLC box was correlated with the ability of the 5$\sp\prime$ flanking region of the MLC1s/1c gene to drive reporter gene expression. Results suggest a model in which binding of SRF to the MLC box activates expression of the MLC1s/1c gene while binding of the factors present in the nuclear extracts suppresses the expression of the gene. (Abstract shortened with permission of author.) ^