Improving adherence and health outcomes in testicular cancer survivors using a mobile health-based intervention: A mixed-methods pilot study.

Objective: Testicular cancer (TC) is one of the most common cancers among young men, with survival rates exceeding 97% due to effective treatments. Post-treatment follow-up care is important for long-term survival and monitoring psychosocial symptoms, yet TC survivors (TCS) show poor adherence to post-treatment care. Mobile-health-based interventions show high acceptability in men with cancer. This study will examine the feasibility of using the Zamplo health app to improve adherence to post-treatment care and support psychosocial outcomes in TCS. Methods: This mixed-methods, longitudinal, single-arm pilot study will recruit N = 30 patients with a diagnosis of TC who finished treatment within ≤ 6 months and are currently aged ≥18 years old. Adherence to follow-up appointments (e.g. blood work, scans) will be assessed (primary outcome), and measures for fatigue, depression, anxiety, sexual satisfaction and function, social roles satisfaction, general mental and physical health and body image (secondary outcomes) will be completed at four-time points: baseline, 3, 6 and 12 months. One-on-one semi-structured interviews will be conducted post-intervention (month 12). Results: Improvements in post-treatment follow-up appointment adherence and psychosocial outcomes will be analyzed using descriptive statistics, paired samples t-tests to determine changes across time points 1 through 4, and correlation analysis. Qualitative data will be analyzed using thematic analysis. Conclusion: Findings will inform future, larger trials that incorporate evaluation of sustainability and economic implications to improve adherence to TC follow-up guidelines. Findings will be disseminated via infographics, social media, publications and presentations conducted in partnership with TC support organizations and at conferences.

Effectiveness of sensory modulation for people with schizophrenia: A multisite quantitative prospective cohort study.

INTRODUCTION: Current research evidence suggests that people with schizophrenia have sensory processing difficulties. Sensory modulation has growing evidence for use in this population. This study aimed to evaluate the extent to which health, social, cognitive, and occupational functioning outcomes were impacted by sensory modulation interventions for people with schizophrenia. METHODS: A prospective observational cohort study using a waitlist control design was used in two large hospital and health services in Queensland, Australia. The study recruited patients who used sensory modulation (n = 30) across the two hospitals and those who did not use sensory modulation interventions as a control (n = 11). Results were analysed using a series of planned comparisons including independent and paired t-tests, and mixed ANOVA was used whenever statistically indicated. The analysed measures were pre- and post-intervention scores. RESULTS: This study found no statically significant differences between the control and intervention groups at both pre- and post-intervention. However, analysis of results from within the intervention group showed statistically significant improvements between pre- and post-test scores on distress, occupational functioning, and health and social functioning but not on sensory processing and global cognitive processing. Further analysis of results from this study, compared with those from an earlier study on the general population showed significant differences in Low Registration and Sensation Avoiding, as measured by the Adult/Adolescent Sensory Profile, between participants with schizophrenia and those without schizophrenia. CONCLUSION: This study provides evidence to suggest that sensory modulation interventions can be complementary to standard care when utilised appropriately in clinical settings. Findings also suggest that the sensory profile of people with schizophrenia is different to that of the general population and this may have clinical implications. Further longitudinal research is needed with larger and randomised samples, using more targeted measures to better explore effectiveness of sensory modulation interventions.

A comprehensive open-source library for exact required sample size in binary clinical trials.

We describe how we are creating a new and comprehensive R library solving the problem of exact sample size determination of RCTs. A crucial prerequisite for the trial protocol is a priori sample sizes that bound the test size below a target (often 5%) and the test power above a target (often 80%). Approximate formulas are available for binary trials but the target test size and power are often violated by standard methods for even quite large sample sizes. Moreover, adjusting standard tests to take account of their size bias can reduce power substantially. This has been well known for several decades. Exact and quasi-exact tests are now available and can be computed in a few seconds for a single data set. However, calculating the exact power and size of such tests requires computing them for all possible outcomes. Searching for minimum samples sizes that achieve a given target requires doing this for a wide range of sample sizes. This becomes computationally infeasible very quickly; to compute required sample sizes for a target size of 5% and power of 80% would, on a standard computer, take several months. Computation time increases as the size and clinically relevant difference decreases. After having presented the main operative challenges to creating this library, mainly due to the need of summarizing a very large amount of information, we put forward our innovative solutions to deal with this complex problem from a statistical viewpoint. The described library will be released in open source.

Exact confidence limits after a group sequential single arm binary trial.

Group sequential single arm designs are common in phase II trials as well as attribute testing and acceptance sampling. After the trial is completed, especially if the recommendation is to proceed to further testing, there is interest in full inference on treatment efficacy. For a binary response, there is the potential to construct exact upper and lower confidence limits, the first published method for which is Jennison and Turnbull (1983). We place their method within the modern theory of exact confidence limits and provide a new general result that ensures that the exact limits are consistent with the test result, an issue that has been largely ignored in the literature. Amongst methods based on the minimal sufficient statistic, we propose two exact methods that out-perform Jennison and Turnbull's method across 10 selected designs. One of these we prefer and recommend for practical and theoretical reasons. We also investigate a method based on inverting Fisher's combination test, as well as a pure tie-breaking variant of it. For the range of designs considered, neither of these methods result in large enough improvements in efficiency to justify violation of the sufficiency principle. For any nonadaptive sequential design, an R-package is provided to select a method and compute the inference from a given realization.

Tests for noninferiority trials with binomial endpoints: A guide to modern and quasi-exact methods for biomedical researchers.

Applied statisticians and pharmaceutical researchers are frequently involved in the design and analysis of clinical trials where at least one of the outcomes is binary. Treatments are judged by the probability of a positive binary response. A typical example is the noninferiority trial, where it is tested whether a new experimental treatment is practically not inferior to an active comparator with a prespecified margin δ. Except for the special case of δ = 0, no exact conditional test is available although approximate conditional methods (also called second-order methods) can be applied. However, in some situations, the approximation can be poor and the logical argument for approximate conditioning is not compelling. The alternative is to consider an unconditional approach. Standard methods like the pooled z-test are already unconditional although approximate. In this article, we review and illustrate unconditional methods with a heavy emphasis on modern methods that can deliver exact, or near exact, results. For noninferiority trials based on either rate difference or rate ratio, our recommendation is to use the so-called E-procedure, based on either the score or likelihood ratio statistic. This test is effectively exact, computationally efficient, and respects monotonicity constraints in practice. We support our assertions with a numerical study, and we illustrate the concepts developed in theory with a clinical example in pulmonary oncology; R code to conduct all these analyses is available from the authors.

A new method of identifying target groups for pronatalist policy applied to Australia.

A country's total fertility rate (TFR) depends on many factors. Attributing changes in TFR to changes of policy is difficult, as they could easily be correlated with changes in the unmeasured drivers of TFR. A case in point is Australia where both pronatalist effort and TFR increased in lock step from 2001 to 2008 and then decreased. The global financial crisis or other unobserved confounders might explain both the reducing TFR and pronatalist incentives after 2008. Therefore, it is difficult to estimate causal effects of policy using econometric techniques. The aim of this study is to instead look at the structure of the population to identify which subgroups most influence TFR. Specifically, we build a stochastic model relating TFR to the fertility rates of various subgroups and calculate elasticity of TFR with respect to each rate. For each subgroup, the ratio of its elasticity to its group size is used to evaluate the subgroup's potential cost effectiveness as a pronatalist target. In addition, we measure the historical stability of group fertility rates, which measures propensity to change. Groups with a high effectiveness ratio and also high propensity to change are natural policy targets. We applied this new method to Australian data on fertility rates broken down by parity, age and marital status. The results show that targeting parity 3+ is more cost-effective than lower parities. This study contributes to the literature on pronatalist policies by investigating the targeting of policies, and generates important implications for formulating cost-effective policies.

Accurate p-values for adaptive designs with binary endpoints.

Adaptive designs encompass all trials allowing various types of design modifications over the course of the trial. A key requirement for confirmatory adaptive designs to be accepted by regulators is the strong control of the family-wise error rate. This can be achieved by combining the p-values for each arm and stage to account for adaptations (including but not limited to treatment selection), sample size adaptation and multiple stages. While the theory for this is novel and well-established, in practice, these methods can perform poorly, especially for unbalanced designs and for small to moderate sample sizes. The problem is that standard stagewise tests have inflated type I error rate, especially but not only when the baseline success rate is close to the boundary and this is carried over to the adaptive tests, seriously inflating the family-wise error rate. We propose to fix this problem by feeding the adaptive test with second-order accurate p-values, in particular bootstrap p-values. Secondly, an adjusted version of the Simes procedure for testing intersection hypotheses that reduces the built-in conservatism is suggested. Numerical work and simulations show that unlike their standard counterparts the new approach preserves the overall error rate, at or below the nominal level across the board, irrespective of the baseline rate, stagewise sample sizes or allocation ratio. Copyright © 2017 John Wiley & Sons, Ltd.

MHC class I chain-related protein A and B (MICA and MICB) are predominantly expressed intracellularly in tumour and normal tissue.

BACKGROUND: Major histocompatibility complex (MHC) class I chain-related protein A (MICA) and MHC class I chain-related protein B (MICB) are polymorphic proteins that are induced upon stress, damage or transformation of cells which act as a 'kill me' signal through the natural-killer group 2, member D receptor expressed on cytotoxic lymphocytes. MICA/B are not thought to be constitutively expressed by healthy normal cells but expression has been reported for most tumour types. However, it is not clear how much of this protein is expressed on the cell surface. METHODS: Using a novel, well-characterised antibody and both standard and confocal microscopy, we systematically profiled MICA/B expression in multiple human tumour and normal tissue. RESULTS: High expression of MICA/B was detected in the majority of tumour tissues from multiple indications. Importantly, MICA/B proteins were predominantly localised intracellularly with only occasional evidence of cell membrane localisation. MICA/B expression was also demonstrated in most normal tissue epithelia and predominantly localised intracellularly. Crucially, we did not observe qualitative differences in cell surface expression between tumour and MICA/B expressing normal epithelia. CONCLUSIONS: This demonstrates for the first time that MICA/B is more broadly expressed in normal tissue and that expression is mainly intracellular with only a small fraction appearing on the cell surface of some epithelia and tumour cells.

Formal plan for self-disclosure enhances supported employment outcomes among young people with severe mental illness.

AIM: Young people with mental illness experience high levels of unemployment, which can be related to stigma and discrimination. This may result from poor choices in disclosing personal information, such as their mental illness diagnosis, in the workplace. The aim of this study was to investigate the predictive validity of a formal plan to manage personal information (PMPI) during the early stages of supported employment. The focal question was: does the use of a brief structured PMPI lead to more employment outcomes for young people with a mental illness? METHODS: A sample of 40 young unemployed mental health service users (mean age 23.9 years), who were also attending employment services on the Gold Coast, was asked about their disclosure preferences. If they preferred not to disclose at all, they did not complete a plan for managing personal information. If they preferred to disclose some personal information, they were provided with assistance to complete a PMPI. Baseline information was gathered from two equal groups of 20 individuals. Employment status was ascertained at a 6-week follow-up interview. RESULTS: Those who completed a plan to manage their personal information had 4.9 times greater odds of employment at 6 weeks than those who preferred not to disclose any personal information. CONCLUSIONS: A formal PMPI has promising predictive validity with respect to job seekers not opposed to pragmatic forms of self-disclosure. Further research is needed to examine other properties of this decision-making tool.

Optic neuropathy in methylmalonic acidemia and propionic acidemia.

BACKGROUND: Methylmalonic acidemia (MMA) and propionic acidemia (PA) are rare hereditary disorders of protein metabolism, manifesting early in life with ketoacidosis and encephalopathy and often resulting in chronic complications. Optic neuropathy (ON) has been increasingly recognised in both conditions, mostly through isolated case reports or small cases series. We here report the clinical features and visual outcomes of a case series of paediatric patients with a diagnosis of MMA or PA. METHODS: Retrospective observational case series. A database of patients attending the Willink Biochemical Genetics unit in Manchester was interrogated. Fifty-three patients had a diagnosis of either isolated MMA or PA, of which 12 had been referred for ophthalmic review. RESULTS: Seven patients had clinical findings compatible with ON. Visual outcomes in these patients were poor, with slow clinical progression or stability over time in five cases with follow-up. Presentation was acute in a context of metabolic crisis in two of the cases. Four patients with ON had electrodiagnostics showing absent pattern evoked potentials, with one showing a preserved flash response. All four showed marked attenuation of the dark-adapted electroretinogram with better preservation of the light-adapted response. CONCLUSIONS: Our study suggests that ON is under-reported in patients with MMA and PA. Clinical presentation can be acute or insidious, and episodes of acute metabolic decompensation appear to trigger visual loss. Photoreceptor involvement may coexist. Active clinical surveillance of affected patients is important as comorbidities and cognitive impairment may delay diagnosis.

Forming implementation intentions improves prospective memory in early psychosis.

The study examined whether individuals with early psychosis are impaired in prospective memory (PM), that is, remembering to execute a planned intention in the future, and whether implementation intentions can improve their PM performance. Thirty participants with early psychosis and 33 healthy controls were randomly allocated to either an implementation intentions or control condition and completed a computerised event-based PM task. Participants were also administered two standardised tests of PM and an abbreviated IQ test. Results demonstrated that individuals with early psychosis showed PM deficits relative to healthy controls on the computerised PM task and on some standardised measures of PM. The PM performance of the early psychosis group benefited from forming implementation intentions. Implementation intentions was concluded to be an effective strategy for improving PM performance in individuals with early psychosis.

Implementing evidence-based practices in supported employment on the Gold Coast for people with severe mental illness.

AIM: The aim of this project was to evaluate program outcomes following the implementation of an evidence-based approach to supported employment on the Gold Coast, Queensland, Australia. METHOD: A prospective observational design was used to evaluate employment outcomes and fidelity to the evidence-based principles and practices of a specialised form of supported employment. The cohort was defined as all those (n = 114) that entered the program at each of three sites within a 21-month period. Each participant was followed up for a minimum of six months. All three sites implemented the employment program by establishing a partnership between a non-government organisation and the Gold Coast community mental health service. RESULTS: The primary outcome variable was the proportion commencing competitive employment during the follow-up period from among those that commenced receiving assistance (the denominator). This ranged from 12% at Site C to 33.3% at Site A, and 37% at Site B. Fidelity to evidence-based principles was fair at Sites A and C and good at Site B. These results were below expectations based on international-controlled trials. The variation in site effectiveness appeared related to both fidelity to evidence-based principles and to other factors at each site, which could not be clearly identified. CONCLUSIONS: Delivering an effective supported employment program using an inter-agency partnership method is challenging. There are several roles in which occupational therapists can be involved that facilitate improving both the implementation and the effectiveness of supported employment for people with severe mental illness in Australia.

Use of the Operant Orofacial Pain Assessment Device (OPAD) to measure changes in nociceptive behavior.

We present an operant system for the detection of pain in awake, conscious rodents. The Orofacial Pain Assessment Device (OPAD) assesses pain behaviors in a more clinically relevant way by not relying on reflex-based measures of nociception. Food fasted, hairless (or shaved) rodents are placed into a Plexiglas chamber which has two Peltier-based thermodes that can be programmed to any temperature between 7 °C and 60 °C. The rodent is trained to make contact with these in order to access a reward bottle. During a session, a number of behavioral pain outcomes are automatically recorded and saved. These measures include the number of reward bottle activations (licks) and facial contact stimuli (face contacts), but custom measures like the lick/face ratio (total number of licks per session/total number of contacts) can also be created. The stimulus temperature can be set to a single temperature or multiple temperatures within a session. The OPAD is a high-throughput, easy to use operant assay which will lead to better translation of pain research in the future as it includes cortical input instead of relying on spinal reflex-based nociceptive assays.

Artemin-GFRα3 interactions partially contribute to acute inflammatory hypersensitivity.

The expression of artemin (ARTN), a glial cell line-derived neurotrophic factor (GDNF) family ligand, increases in pre-clinical models of nociception and recent evidence suggests this growth factor may play a causative role in inflammatory pain mechanisms. The aim of this study was to demonstrate functional inhibition of ARTN with monoclonal antibodies and to determine whether ARTN neutralisation could reverse inflammatory pain in mice. We show that monoclonal antibodies with high affinity to ARTN, completely inhibit ARTN-induced Ret and ERK activation in a human neuroblastoma cell line, and block capsaicin-induced CGRP secretion from primary rat DRG cultures. In addition, administration of anti-ARTN antibodies to mice provides a transient, partial reversal (41%) of FCA-induced mechanical hypersensitivity. Anti-ARTN antibodies had no effect on hypersensitivity in response to partial nerve ligation in mice. These data suggest that ARTN-GFRα3 interactions partially mediate early stage nociceptive signalling following an inflammatory insult.

Accurate confidence limits for stratified clinical trials.

For stratified 2 × 2 tables, standard approximate confidence limits can perform poorly from a strict frequentist perspective, even for moderate-sized samples, yet they are routinely used. In this paper, I show how to use importance sampling to compute highly accurate limits in reasonable time. The methodology is very general and simple to implement, and orders of magnitude are faster than existing alternatives.

Optimisation of antibody affinity by ribosome display using error-prone or site-directed mutagenesis.

Affinity optimisation of antibodies can be achieved with great success by using directed evolution approaches, that is, the creation of and selection from diverse libraries. Here, we describe in detail methods to optimise antibody affinity for an antigen through directed evolution using ribosome display. Diversification of antibody single chain variable (scFv) domains is carried out by error-prone PCR and oligonucleotide-directed mutagenesis to generate random and targeted libraries respectively. Subsequent libraries are converted to ribosome display format and taken through cycles of transcription, translation, and selection. Since the starting point and the recovered product are linear DNA, this can easily be manipulated further to allow accumulation of beneficial mutations through iterative cycles of selection.

Employment-related information for clients receiving mental health services and clinicians.

OBJECTIVE: Clients receiving public mental health services and clinicians require information to facilitate client access to suitable employment services. However, little is known about the specific employment-related information needs of these groups. This study aimed to identify employment-related information needs among clients, clinicians and employment specialists, with a view to developing a new vocational information resource. PARTICIPANTS: Employment-related information needs were identified via a series of focus group consultations with clients, clinicians, and employment specialists (n=23). METHODS: Focus group discussions were guided by a common semi-structured interview schedule. RESULTS: Several categories of information need were identified: countering incorrect beliefs about work; benefits of work; disclosure and managing personal information; impact of earnings on welfare entitlements; employment service pathways; job preparation, planning and selection; and managing illness once working. Clear preferences were expressed about effective means of communicating the key messages in written material. CONCLUSIONS: This investigation confirmed the need for information tailored to clients and clinicians in order to activate clients' employment journey and to help them make informed decisions about vocational assistance.