Can health beliefs help in explaining attendance to follow-up care? The Swiss Childhood Cancer Survivor Study

Objective: Improved treatment has increased the survival of childhood cancer patients in recent decades, but follow-up care is recommended to detect and treat late effects. We investigated relationships between health beliefs and follow-up attendance in adult childhood cancer survivors. Methods: Childhood cancer survivors aged younger than 16 years when diagnosed between 1976 and 2003, who had survived for more than 5 years and were currently aged 201 years, received a postal questionnaire. We asked survivors whether they attended follow-up in the past year. Concepts from the Health Belief Model (perceived susceptibility and severity of future late effects, potential benefits and barriers to follow-up, general health value and cues to action) were assessed. Medical information was extracted from the Swiss Childhood Cancer Registry. Results: Of 1075 survivors (response rate 72.3%), 250 (23.3%) still attended regular followup care. In unadjusted analyses, all health belief concepts were significantly associated with follow-up (po0.05). Adjusting for other health beliefs, demographic, and medical variables, only barriers (OR50.59; 95%CI: 0.43–0.82) remained significant. Younger survivors, those with lower educational background, diagnosed at an older age, treated with chemotherapy, radiotherapy, or bone marrow transplantation and with a relapse were more likely to attend follow-up care. Conclusions: Our study showed that more survivors at high risk of cancer- and treatmentrelated late effects attend follow-up care in Switzerland. Patient-perceived barriers hinder attendance even after accounting for medical variables. Information about the potential effectiveness and value of follow-up needs to be available to increase the attendance among childhood cancer survivors.

A tutorial on data-driven methods for statistically assessing ERP topographies

Dynamic changes in ERP topographies can be conveniently analyzed by means of microstates, the so-called "atoms of thoughts", that represent brief periods of quasi-stable synchronized network activation. Comparing temporal microstate features such as on- and offset or duration between groups and conditions therefore allows a precise assessment of the timing of cognitive processes. So far, this has been achieved by assigning the individual time-varying ERP maps to spatially defined microstate templates obtained from clustering the grand mean data into predetermined numbers of topographies (microstate prototypes). Features obtained from these individual assignments were then statistically compared. This has the problem that the individual noise dilutes the match between individual topographies and templates leading to lower statistical power. We therefore propose a randomization-based procedure that works without assigning grand-mean microstate prototypes to individual data. In addition, we propose a new criterion to select the optimal number of microstate prototypes based on cross-validation across subjects. After a formal introduction, the method is applied to a sample data set of an N400 experiment and to simulated data with varying signal-to-noise ratios, and the results are compared to existing methods. In a first comparison with previously employed statistical procedures, the new method showed an increased robustness to noise, and a higher sensitivity for more subtle effects of microstate timing. We conclude that the proposed method is well-suited for the assessment of timing differences in cognitive processes. The increased statistical power allows identifying more subtle effects, which is particularly important in small and scarce patient populations.

A Tutorial of the Mobile Multimedia Wireless Sensor Network (M3WSN) OMNeT++ Framework

In this work, we will give a detailed tutorial instruction about how to use the Mobile Multi-Media Wireless Sensor Networks (M3WSN) simulation framework. The M3WSN framework has been published as a scientific paper in the 6th International Workshop on OMNeT++ (2013) [1]. M3WSN framework enables the multimedia transmission of real video se- quence. Therefore, a set of multimedia algorithms, protocols, and services can be evaluated by using QoE metrics. Moreover, key video-related information, such as frame types, GoP length and intra-frame dependency can be used for creating new assessment and optimization solutions. To support mobility, M3WSN utilizes different mobility traces to enable the understanding of how the network behaves under mobile situations. This tutorial will cover how to install and configure the M3WSN framework, setting and running the experiments, creating mobility and video traces, and how to evaluate the performance of different protocols. The tutorial will be given in an environment of Ubuntu 12.04 LTS and OMNeT++ 4.2.

Trends and characteristics of attendance at the emergency department of a Swiss university hospital: 2002-2012.

BACKGROUND The numbers of people attending emergency departments (EDs) at hospitals are increasing. We aimed to analyse trends in ED attendance at a Swiss university hospital between 2002 and 2012, focussing on age-related differences and hospital admission criteria. METHODS We used hospital administrative data for all patients aged ≥16 years who attended the ED (n=298,306) at this university hospital between 1 January 2002, and 31 December 2012. We descriptively analysed the numbers of ED visits according to the admission year and stratified by age (≥65 vs <65 years). RESULTS People attending the ED were on average 46.6 years old (standard deviation 20 years, maximum range 16‒99 years). The annual number of ED attendances grew by n=6,639 (27.6%) from 24,080 in 2002 to 30,719 in 2012. In the subgroup of patients aged ≥65 the relative increase was 42.3%, which is significantly higher (Pearson's χ2=350.046, df=10; p=0.000) than the relative increase of 23.4% among patients<65 years. The subgroup of patients≥65 years attended the ED more often because of diseases (n=56,307; 85%) than accidents (n=9,844; 14.9%). This subgroup (patients≥65 years) was also more often admitted to hospital (Pearson's χ2=23,377.190; df=1; p=0.000) than patients<65 years. CONCLUSIONS ED attendance of patients≥65 years increased in absolute and relative terms. The study findings suggest that staff of this ED may want to assess the needs of patients≥65 years and, if necessary, adjust the services (e.g., adapted triage scales, adapted geriatric screenings, and adapted hospital admission criteria).

Follow-up care of young childhood cancer survivors: attendance and parental involvement.

PURPOSE Despite recommendations, only a proportion of long-term childhood cancer survivors attend follow-up care. We aimed to (1) describe the follow-up attendance of young survivors aged 11-17 years; (2) describe the parental involvement in follow-up, and (3) investigate predictors of follow-up attendance and parental involvement. METHODS As part of the Swiss Childhood Cancer Survivor Study, a follow-up questionnaire was sent to parents of childhood cancer survivors aged 11-17 years. We assessed follow-up attendance of the child, parents' involvement in follow-up, illness perception (Brief IPQ), and sociodemographic data. Clinical data was available from the Swiss Childhood Cancer Registry. RESULTS Of 309 eligible parents, 189 responded (67 %; mean time since diagnosis 11.3 years, range 6.8-17.2) and 75 % (n = 141) reported that their child still attended follow-up. Of these, 83 % (n = 117) reported ≥1 visit per year and 17 % (n = 23) reported <1 visit every year. Most survivors saw pediatric oncologists (n = 111; 79 % of 141), followed by endocrinologists (n = 24, 17 %) and general practitioners (n = 22, 16 %). Most parents (92 %) reported being involved in follow-up (n = 130). In multivariable and Cox regression analyses, longer time since diagnosis (p = 0.025) and lower perceived treatment control (assessed by IPQ4: how much parents thought follow-up can help with late effects; p = 0.009) were associated with non-attendance. Parents' overall information needs was significantly associated with parental involvement in the multivariable model (p = 0.041). CONCLUSION Educating survivors and their parents on the importance and effectiveness of follow-up care might increase attendance in the longer term.

TABLETUTORIAL: Stata module to provide tutorial on automated table generation and reporting

-tabletutorial- illustrates how Stata can be used to export statistical results and generate customized reports. Part 1 explains how results from Stata routines can be accessed and how they can be exported using the -file- comand or a wrapper such as, e.g., -mat2txt-. Part 2 shows how model estimation results can be archived using -estwrite- and how models can be tabulated and exported to LaTeX, MS Excel, or MS Word using -estout-. Part 3 illustrates how to set up automatic reports in LaTeX or MS Word. The tutorial is based on a talk given at CEPS/INSTEAD in Luxembourg in October 2008. After install, type -help tabletutorial- to start the tutorial (in Stata 8, type -whelp tabletutorial-). The -mat2txt-, -estwrite-, and -estout- packages, also available from SSC, are required to run the examples.