Apps for Older People's Pain Self-Management: Perspectives of Primary Care and Allied Health Clinicians.

BACKGROUND: Chronic arthritic pain is one of the major causes of physical suffering and disability among older people. Primary care and allied health clinicians use various approaches to help their older clients better manage their arthritic pain. The growing uptake of technology among older people offers the potential for clinicians to integrate an arthritic pain app into their patients' self-management plans. This study explored the perspectives of Australian primary care and allied health clinicians regarding the use of pain self-management apps to help their older patients/clients better manage their arthritic pain. METHODS: Qualitative design using a semistructured interview approach. Interviews were conducted via telephone with primary and allied health clinicians (N = 17) across Australia. RESULTS: The overarching theme underlying participants' views on integration of apps into older people's pain self-management strategy was that this approach is an idealistic but uniquely challenging endeavor. Four subthemes emerged, namely: 1) self-management apps are a potentially useful tool but require careful consideration; 2) clinicians' involvement is crucial yet potentially onerous; 3) no single app is right for every older person with arthritic pain; and 4) patient data access is beneficial, but caution is needed for real-time data access. DISCUSSION: The predominant clinician perspective of integrating apps into their older patients/clients' pain self-management strategies was that this approach is an idealistic but uniquely challenging endeavor. Apps were seen as having potential to support various aspects of patients' self-management behaviors; however, there were notable concerns with regards to the challenges inherent in this approach for both clinicians and older users (patients/clients)

Quality and usability of arthritic pain self-management apps for older adults: A systematic review

© 2017 American Academy of Pain Medicine. Objective. To appraise the quality and usability of currently available pain applications that could be used by community-dwelling older adults to selfmanage their arthritic pain. Methods. A systematic review. Searches were conducted in App Store and Google Play to identify pain self-management apps relevant to arthritic pain management. English language pain management apps providing pain assessment and documentation function and pain management education were considered for inclusion. A quality evaluation audit tool based on the Stanford Arthritis Self-Management Program was developed a priori to evaluate app content quality. The usability of included apps was assessed using an established usability evaluation tool. Results. Out of the 373 apps that were identified, four met the inclusion criteria. The included apps all included a pain assessment and documentation function and instructions on medication use, communication with health professionals, cognitive behavioral therapy-based pain management, and physical exercise. Management of mood, depression, anxiety, and sleep were featured in most apps (N =3). Three-quarters (N = 3) of the apps fell below the acceptable moderate usability score (≥3), while one app obtained a moderate score (3.2). Conclusions. Few of the currently available pain apps offer a comprehensive pain self-management approach incorporating evidence-based strategies in accordance with the Stanford Arthritis Self- Management Program. The moderate-level usability across the included apps indicates a need to consider the usability needs of the older population in future pain self-management app development endeavors

Probabilistic interpolation of quantum rotation angles

Quantum computing requires a universal set of gate operations; regarding gates as rotations, any rotation angle must be possible. However a real device may only be capable of B bits of resolution, i.e., it might support only 2B possible variants of a given physical gate. Naive discretization of an algorithm’s gates to the nearest available options causes coherent errors, while decomposing an impermissible gate into several allowed operations increases circuit depth. Conversely, demanding higher B can greatly complexify hardware. Here, we explore an alternative: probabilistic angle interpolation (PAI). This effectively implements any desired, continuously parametrized rotation by randomly choosing one of three discretized gate settings and postprocessing individual circuit outputs. The approach is particularly relevant for near-term applications where one would in any case average over many runs of circuit executions to estimate expected values. While PAI increases that sampling cost, we prove that (a) the approach is optimal in the sense that PAI achieves the least possible overhead and (b) the overhead is remarkably modest even with thousands of parametrized gates and only seven bits of resolution available. This is a profound relaxation of engineering requirements for first generation quantum computers where even 5–6 bits of resolution may suffice and, as we demonstrate, the approach is many orders of magnitude more efficient than prior techniques. Moreover we conclude that, even for more mature late noisy intermediate-scale quantum era hardware, no more than nine bits will be necessary

Feasibility evaluation of a pain self-management app-based intervention among older people living with arthritic pain: study protocol.

Background: Optimal management of chronic arthritic pain experienced by older adults involves applying active self-management strategies every day. Cost-effective and innovative strategies to help build older people's pain self-management capability are required. This study protocol is designed to evaluate the feasibility, acceptability, and preliminary outcomes of a pain self-management app among older people living in the community with arthritic pain. Methods/design: This is a phase I feasibility study. A pre-post test study design will be used to trial a freely available pain self-management app named Rheumatoid Arthritis Information Support and Education ("RAISE") for 14 days. Thirty community-dwelling older people living with arthritic pain who use a smartphone will be recruited from (1) various community-based social clubs/organizations/groups or (2) via Facebook groups with potentially high number of older members. In addition, snowballing sampling approach will also be utilized.These participants will trial the RAISE app, which was selected following a systematic evaluation of all available chronic pain apps by the investigator team. A face-to-face or telephone-based meeting will be organized with all consenting participants in order to seek their informed consent, download and set up the intervention app on their mobile device, be provided with app training, and complete the pre-test data (Time 1 (T1)). Participants will be asked to use the RAISE app as desired for 14 days. Post-test data collection (Time 2 (T2)) will occur on day 15. Data collected includes participant's demographic and clinical information, pain scores, pain self-efficacy, and online technology self-efficacy. Participants will be invited to take part in a semi-structured telephone interview at T2 to explore their experiences of using the app.An evaluation of patterns of app use, recruitment, retention, attrition rates, and analysis of the missing data will inform the study and intervention feasibility. Preliminary outcomes are participant's pain intensity and interference, pain self-efficacy, and online technology self-efficacy. Discussion: This study will help us better understand the feasibility and acceptability of using this novel intervention among community-dwelling older people living with arthritic pain. The results will also help inform future pain app studies. Trial registration: Australia New Zealand Clinical Trials Registry: ACTRN12617000921381

Non-invasive markers of liver fibrosis: adjuncts or alternatives to liver biopsy?

Liver fibrosis reflects sustained liver injury often from multiple, simultaneous factors. Whilst the presence of mild fibrosis on biopsy can be a reassuring finding, the identification of advanced fibrosis is critical to the management of patients with chronic liver disease. This necessity has lead to a reliance on liver biopsy which itself is an imperfect test and poorly accepted by patients. The development of robust tools to non-invasively assess liver fibrosis has dramatically enhanced clinical decision making in patients with chronic liver disease, allowing a rapid and informed judgment of disease stage and prognosis. Should a liver biopsy be required, the appropriateness is clearer and the diagnostic yield is greater with the use of these adjuncts. While a number of non-invasive liver fibrosis markers are now used in routine practice, a steady stream of innovative approaches exists. With improvement in the reliability, reproducibility and feasibility of these markers, their potential role in disease management is increasing. Moreover, their adoption into clinical trials as outcome measures reflects their validity and dynamic nature. This review will summarize and appraise the current and novel non-invasive markers of liver fibrosis, both blood and imaging based, and look at their prospective application in everyday clinical care

Six years survival on imatinib with no disease progression after diagnosis of metastatic duodenal gastrointestinal stromal tumour: a case report

Introduction: A duodenal Gastrointestinal Stromal Tumour (GIST) is a rare finding and until recently advanced disease had a poor prognosis. A PubMed search revealed no reports of more than five years survival of inoperable GIST on chemotherapy with WHO performance status zero. Case Presentation: A 68 year old female was diagnosed with unresectable GIST in the duodenum with metastasis to liver, pancreas and omentum in November 2001. She was commenced on imatinib mesylate (Glivec) chemotherapy. This case report was prepared from the medical records and radiology reports. She had good tolerance with stable disease. After six years her CT scan showed no disease progression and her WHO performance status was zero. Conclusion: This report supports the view that imatinib is a safe and effective drug in controlling disease progression in advanced metastatic GIST and plays an important role in improving the patient's quality of life

Mammoth interatrial septal aneurysm in the ICE age

<p>Abstract</p> <p>Background</p> <p>Intracardiac echocardiography (ICE) is a useful imaging modality that is now being used more widely to assist in the percutaneous closure of atrial septal defects (ASD) and patent foramen ovales (PFO).</p> <p>Case presentation</p> <p>A 42 year old lady with a history of transient ischaemic attacks and migraine underwent percutaneous closure of an ASD. Intraprocedural ICE demonstrated a mammoth billowing multiperforated interatrial septal aneurysm in association with a secondum ASD.</p> <p>Conclusion</p> <p>ICE provides excellent adjuvant imaging during percutaneous closure of intracardiac shunts, in this case demonstrating a 'mammoth' interatrial septal aneurysm.</p

Spatial working memory, not IQ or executive function, discriminates early psychosis and clinically vulnerable creative individuals

© 2020 John Wiley & Sons Australia, Ltd Aim: While associations between creativity and psychopathology have been well researched, the specific cognitive processes that distinguish highly creative from those with psychopathology warrant further investigation. This study will examine whether IQ, executive function, cognitive inhibition or spatial working memory differentiate individuals with early psychosis, clinically vulnerable creative individuals, creative controls and non-creative controls. Methods: The study sample consisted of 110 participants: early psychosis (n = 21); clinically vulnerable creative controls (n = 25); creative controls (n = 30) and non-creative control (n = 34). The Diagnostic Interview for Psychosis assessed early psychosis participants and the Mini Neuropsychiatric Interview was used to screen for psychopathology in the remaining groups. Several cognitive tests were administered: IQ, neurocognitive measures of executive function and spatial working memory. Creativity was assessed using the Torrance Test of Creativity and Creative Achievement Questionnaire. A measure of vividness of mental imagery was also given. Results: Across all cognitive tests, spatial working memory differentiated the early psychosis group from both creative and non-creative control groups. Spatial working memory predicted group membership but vivid imagery was a better predictor of creative achievement. The early psychosis, clinically vulnerable creative and creative groups all recorded significantly higher results on creative achievement and creative cognition compared to non-creative controls. Conclusions: Our results provide further support for spatial working memory as an early neuro-cognitive marker for early psychosis. Spatial working memory, rather than IQ or executive function, may also be an early protective factor for clinically vulnerable young creative individuals

Fast Ensemble Smoothing

Smoothing is essential to many oceanographic, meteorological and hydrological applications. The interval smoothing problem updates all desired states within a time interval using all available observations. The fixed-lag smoothing problem updates only a fixed number of states prior to the observation at current time. The fixed-lag smoothing problem is, in general, thought to be computationally faster than a fixed-interval smoother, and can be an appropriate approximation for long interval-smoothing problems. In this paper, we use an ensemble-based approach to fixed-interval and fixed-lag smoothing, and synthesize two algorithms. The first algorithm produces a linear time solution to the interval smoothing problem with a fixed factor, and the second one produces a fixed-lag solution that is independent of the lag length. Identical-twin experiments conducted with the Lorenz-95 model show that for lag lengths approximately equal to the error doubling time, or for long intervals the proposed methods can provide significant computational savings. These results suggest that ensemble methods yield both fixed-interval and fixed-lag smoothing solutions that cost little additional effort over filtering and model propagation, in the sense that in practical ensemble application the additional increment is a small fraction of either filtering or model propagation costs. We also show that fixed-interval smoothing can perform as fast as fixed-lag smoothing and may be advantageous when memory is not an issue