Audiometric correlates of the unaided APHAB

The Abbreviated Profile of Hearing Aid Benefit (APHAB) is a self-report questionnaire that is used to quantify the impact of a hearing problem on an individual's daily life. In this investigation, the relationships were explored between typical clinical audiometric data and the four subscale scores of the APHAB administered in the unaided (without-amplification) condition. Sixty subjects provided APHAB scores, audiograms, and speech recognition data. Analyses revealed significant relationships between audiometric data and each of the three APHAB subscales that reflect speech communication (EC, RV, and BN). None of these subscales was significantly more strongly related to any specific audiological variable. However, the pattern of associations between audiometric variables and subscale scores was consistent with predictions based on item content for subscales EC and RV, but not for BN. As predicted, no relationship was found between audiometric data and scores for the Aversiveness subscale (AV). Even for the subscales with the strongest associations, differences in audiometric data could be used to explain half or less of the variance in self-report data.     

Factors influencing Queenslanders' willingness to perform bystander cardiopulmonary resuscitation

STUDY OBJECTIVE: The chances of surviving an out-of-hospital cardiac arrest (OHCA) are greatly increased if a bystander provides cardiopulmonary resuscitation (CPR) while awaiting the arrival of the emergency medical services. Over 50% of adult Queenslanders have been trained in CPR at some time in the past, however, little is known about the factors that affect their willingness to perform CPR. METHOD: A random survey of 4480 Queensland residents was conducted to address this question. RESULTS: The survey indicated that the most common barriers to performing CPR were a fear of disease, visible blood and perceived danger. In contrast, respondents indicated that they were more likely to administer CPR if the respondent knew the victim, the victim would die if CPR was not administered, and respondents believed that they possessed the necessary skills to perform CPR. A majority (84%) of respondents indicated that they were at least likely to administer CPR. A logistic regression analysis revealed that the respondents most likely to perform CPR were males, those who were married or in a de facto relationship, those in paid employment, smokers, those recently trained in CPR, prospective organ donors, those who cited no barriers to CPR and those who cited one or more factors that would facilitate CPR. CONCLUSIONS: This study indicates that there is considerable variation in Queenslanders' willingness to perform bystander CPR. Public health education campaigns aimed at correcting inaccurate perceptions of risk and addressing other barriers to bystander CPR would promote its use in response to OHCA.     

Effect of an ankle stabilizing orthosis on selected ankle kinematics during walking

This study evaluated the stability effects of an ankle stabilizing orthosis on unstable ankles on selected three-dimensional ankle kinematics during two speeds (2.5 and 4.5 mph) of treadmill walking. Eleven subjects with one unstable ankle walked at these two treadmill speeds with and without the ankle stabilizing orthosis. The angular excursions and velocities of the ankle in the sagittal and frontal planes were recorded with a three-dimensional ProReflex Imaging System and analyzed with two-way repeated-measure ANOVA and paired t test. It was found that the ankle stabilizing orthosis provided significant stability control in the angular excursions of plantarflexion, and it did not affect the maximum velocity of plantarflexion and the walking speed during the treadmill walking. As the speed increased, the angular excursions and the maximum angular velocities in the sagittal and frontal planes increased significantly.     

Extending the mixed-effects model to consider within-subject variance for Ecological Momentary Assessment data

Ecological Momentary Assessment data present some new modeling opportunities. Typically, there are sufficient data to explicitly model the within-subject (WS) variance, and in many applications, it is of interest to allow the WS variance to depend on covariates as well as random subject effects. We describe a model that allows multiple random effects per subject in the mean model (eg, random location intercept and slopes), as well as random scale in the error variance model. We present an example of the use of this model on a real dataset and a simulation study that shows the benefit of this model, relative to simpler approaches.     

Occupational therapy with people with depression: Using nominal group technique to collate clinician opinion

Aims. This aim of this study was to obtain a consensus from clinicians regarding occupational therapy for people with depression, for the assessments and practices they use that are not currently supported by research evidence directly related to functional performance. The study also aimed to discover how many of these assessments and practices were currently supported by research evidence. Methods. Following a previously reported systematic review of assessments and practices used in occupational therapy for people with depression, a modified nominal group technique was used to discover which assessments and practices occupational therapists currently utilize. Three online surveys gathered initial data on therapeutic options (survey 1), which were then ranked (survey 2) and re-ranked (survey 3) to gain the final consensus. Twelve therapists completed the first survey, whilst 10 clinicians completed both the second and third surveys. Major findings. Only 30% of the assessments and practices identified by the clinicians were supported by research evidence. A consensus was obtained on a total of 35 other assessments and interventions. These included both occupational-therapy-specific and generic assessments and interventions. Principle conclusion. Very few of the assessments and interventions identified were supported by research evidence directly related to functional performance. While a large number of options were generated, the majority of these were not occupational therapy specific.     

Genome‐wide association scans for secondary traits using case‐control samples

Genome‐wide association studies (GWAS) require considerable investment, so researchers often study multiple traits collected on the same set of subjects to maximize return. However, many GWAS have adopted a case‐control design; improperly accounting for case‐control ascertainment can lead to biased estimates of association between markers and secondary traits. We show that under the null hypothesis of no marker‐secondary trait association, naïve analyses that ignore ascertainment or stratify on case‐control status have proper Type I error rates except when both the marker and secondary trait are independently associated with disease risk. Under the alternative hypothesis, these methods are unbiased when the secondary trait is not associated with disease risk. We also show that inverse‐probability‐of‐sampling‐weighted (IPW) regression provides unbiased estimates of marker‐secondary trait association. We use simulation to quantify the Type I error, power and bias of naïve and IPW methods. IPW regression has appropriate Type I error in all situations we consider, but has lower power than naïve analyses. The bias for naïve analyses is small provided the marker is independent of disease risk. Considering the majority of tested markers in a GWAS are not associated with disease risk, naïve analyses provide valid tests of and nearly unbiased estimates of marker‐secondary trait association. Care must be taken when there is evidence that both the secondary trait and tested marker are associated with the primary disease, a situation we illustrate using an analysis of the relationship between a marker in FGFR2 and mammographic density in a breast cancer case‐control sample. Genet. Epidemiol. 33:717–728, 2009. © 2009 Wiley‐Liss, Inc.     

The Effects of Express Lane Eligibility on Medicaid and CHIP Enrollment among Children

Objective

To estimate the impact of Express Lane Eligible (ELE) implementation on Medicaid/CHIP enrollment in eight states.

Data Sources/Study Setting

2007 to 2011 data from the Statistical Enrollment Data System (SEDS) on Medicaid/CHIP enrollment.

Study Design

We estimate difference-in-difference equations, with quarter and state fixed effects. The key independent variable is an indicator for whether the state had ELE in place in the given quarter, allowing the experience of statistically matched non-ELE states to serve as a formal counterfactual against which to assess the changes in the eight ELE states. The model also controls for time-varying economic and policy factors within each state.

Data Collection/Extraction Methods

We obtained SEDS enrollment data from CMS.

Principal Findings

Across model specifications, the ELE effects on Medicaid enrollment among children were consistently positive, ranging between 4.0 and 7.3 percent, with most estimates statistically significant at the 5 percent level. We also find that ELE increased combined Medicaid/CHIP enrollment.

Conclusions

Our results imply that ELE has been an effective way for states to increase enrollment and retention among children eligible for Medicaid/CHIP. These results also imply that ELE-like policies could improve take-up of subsidized coverage under the ACA.