Background Mobile health, predominantly wearable technology and mobile apps, have been considered in Parkinson disease to provide valuable ecological data between face-to-face visits and improve monitoring of motor symptoms remotely. Objective We explored the feasibility of using a technology-based mHealth platform comprising a smartphone in combination with a smartwatch and a pair of smart insoles, described in this study as the PD_manager system, to collect clinically meaningful data. We also explored outcomes and disease-related factors that are important determinants to establish feasibility. Finally, we further validated a tremor evaluation method with data collected while patients performed their daily activities. Methods PD_manager trial was an open-label parallel group randomized study.The mHealth platform consists of a wristband, a pair of sensor insoles, a smartphone (with dedicated mobile Android apps) and a knowledge platform serving as the cloud backend. Compliance was assessed with statistical analysis and the factors affecting it using appropriate regression analysis. The correlation of the scores of our previous algorithm for tremor evaluation and the respective Unified Parkinson’s Disease Rating Scale estimations by clinicians were explored. Results Of the 75 study participants, 65 (87%) completed the protocol. They used the PD_manager system for a median 11.57 (SD 3.15) days. Regression analysis suggests that the main factor associated with high use was caregivers’ burden. Motor Aspects of Experiences of Daily Living and patients’ self-rated health status also influence the system’s use. Our algorithm provided clinically meaningful data for the detection and evaluation of tremor. Conclusions We found that PD patients, regardless of their demographics and disease characteristics, used the system for 11 to 14 days. The study further supports that mHealth can be an effective tool for the ecologically valid, passive, unobtrusive monitoring and evaluation of symptoms. Future studies will be required to demonstrate that an mHealth platform can improve disease management and care. Trial Registration ISRCTN Registry ISRCTN17396879; http://www.isrctn.com/ISRCTN17396879 International Registered Report Identifier (IRRID) RR2-10.1186/s13063-018-2767-4
Summary Background Palliative care remains suboptimal in end‐stage liver disease. Aim To inform a definitive study, we assessed palliative long‐term abdominal drains in end‐stage liver disease to determine recruitment, attrition, safety/potential effectiveness, questionnaires/interview uptake/completion and make a preliminary cost comparison. Methods A 12‐week feasibility nonblinded randomised controlled trial comparing large‐volume paracentesis vs long‐term abdominal drains in refractory ascites due to end‐stage liver disease with fortnightly home visits for clinical/questionnaire‐based assessments. Study success criteria were attrition not >50%, <10% long‐term abdominal drain removal due to complications, the long‐term abdominal drain group to spend <50% ascites‐related study time in hospital vs large‐volume paracentesis group and 80% questionnaire/interview uptake/completion. Results Of 59 eligible patients, 36 (61%) were randomised, 17 to long‐term abdominal drain and 19 to large‐volume paracentesis. Following randomisation, median number (IQR) of hospital ascitic drains (long‐term abdominal drain group vs large‐volume paracentesis group) were 0 (0‐1) vs 4 (3‐7); week 12 serum albumin (g/L) and serum creatinine (μmol/L) were 29 (26.5‐32.5) vs 30 (25‐35) and 104.5 (81‐115.5) vs 127 (63‐158) respectively. Total attrition was 42% (long‐term abdominal drain group 47%, large‐volume paracentesis group 37%). Median (IQR) fortnightly community/hospital/social care ascites‐related costs and percentage study time in hospital were lower in the long‐term abdominal drain group, £329 (253‐580) vs £843 (603‐1060) and 0% (0‐0.74) vs 2.75% (2.35‐3.84) respectively. Self‐limiting cellulitis/leakage occurred in 41% (7/17) in the long‐term abdominal drain group vs 11% (2/19) in the large‐volume paracentesis group; peritonitis incidence was 6% (1/17) vs 11% (2/19) respectively. Questionnaires/interview uptake/completion were ≥80%; interviews indicated that long‐term abdominal drains could transform the care pathway. Conclusions The REDUCe study demonstrates feasibility with preliminary evidence of long‐term abdominal drain acceptability/effectiveness/safety and reduction in health resource utilisation. Trial registration: ISRCTN30697116, date assigned: 07/10/2015.
BackgroundParkinson’s disease is a degenerative neurological condition causing multiple motor and non-motor symptoms that have a serious adverse effect on quality of life. Management is problematic due to the variable and fluctuating nature of symptoms, often hourly and daily. The PD_Manager mHealth platform aims to provide a continuous feed of data on symptoms to improve clinical understanding of the status of any individual patient and inform care planning. The objectives of this trial are to (1) assess patient (and family carer) perspectives of PD_Manager regarding comfort, acceptability and ease of use; (2) assess clinician views about the utility of the data generated by PD_Manager for clinical decision making and the acceptability of the system in clinical practice.Methods/designThis trial is an unblinded, parallel, two-group, randomised controlled pilot study. A total of 200 persons with Parkinson’s disease (Hoehn and Yahr stage 3, experiencing motor fluctuations at least 2 h per day), with primary family carers, in three countries (110 Rome, 50 Venice, Italy; 20 each in Ioannina, Greece and Surrey, England) will be recruited. Following informed consent, baseline information will be gathered, including the following: age, gender, education, attitudes to technology (patient and carer); time since Parkinson’s diagnosis, symptom status and comorbidities (patient only). Randomisation will assign participants (1:1 in each country), to PD_Manager vs control, stratifying by age (1 ≤ 70 : 1 > 70) and gender (60% M: 40% F). The PD_Manager system captures continuous data on motor symptoms, sleep, activity, speech quality and emotional state using wearable devices (wristband, insoles) and a smartphone (with apps) for storing and transmitting the information. Control group participants will be asked to keep a symptom diary covering the same elements as PD_Manager records. After a minimum of two weeks, each participant will attend a consultation with a specialist doctor for review of the data gathered (by either means), and changes to management will be initiated as indicated. Patients, carers and clinicians will be asked for feedback on the acceptability and utility of the data collection methods. The PD_Manager intervention, compared to a symptom diary, will be evaluated in a cost-consequences framework.DiscussionInformation gathered will inform further development of the PD_Manager system and a larger effectiveness trial.Trial registrationISRCTN Registry, ISRCTN17396879. Registered on 15 March 2017.Electronic supplementary materialThe online version of this article (10.1186/s13063-018-2767-4) contains supplementary material, which is available to authorized users.
Background: Despite the established evidence and theoretical advances explaining human judgments under uncertainty, developments of mobile health (mHealth) Clinical Decision Support Systems (CDSS) have not explicitly applied the psychology of decision making to the study of user needs. We report on a user needs approach to develop a prototype of a mHealth CDSS for Parkinson's disease (PD), which is theoretically grounded in the psychological literature about expert decision making and judgement under uncertainty.Methods: A suite of user needs studies was conducted in 4 European countries (Greece, Italy, Slovenia, the UK) prior to the development of PD_Manager, a mHealth-based CDSS designed for Parkinson's disease, using wireless technology. Study 1 undertook Hierarchical Task Analysis (HTA) including elicitation of user needs, cognitive demands and perceived risks/benefits (ethical considerations) associated with the proposed CDSS, through structured interviews of prescribing clinicians (N = 47). Study 2 carried out computational modelling of prescribing clinicians' (N = 12) decision strategies based on social judgment theory. Study 3 was a vignette study of prescribing clinicians' (N = 18) willingness to change treatment based on either self-reported symptoms data, devices-generated symptoms data or combinations of both. Results: Study 1 indicated that system development should move away from the traditional silos of 'motor' and 'non-motor' symptom evaluations and suggest that presenting data on symptoms according to goal-based domains would be the most beneficial approach, the most important being patients' overall Quality of Life (QoL). The computational modelling in Study 2 extrapolated different factor combinations when making judgements about different questions. Study 3 indicated that the clinicians were equally likely to change the care plan based on information about the change in the patient's condition from the patient's self-report and the wearable devices. Conclusions: Based on our approach, we could formulate the following principles of mHealth design: 1) enabling shared decision making between the clinician, patient and the carer; 2) flexibility that accounts for diagnostic and treatment variation among clinicians; 3) monitoring of information integration from multiple sources. Our approach highlighted the central importance of the patient-clinician relationship in clinical decision making and the relevance of theoretical as opposed to algorithm (technology)-based modelling of human judgment.
ObjectiveTo determine whether, in children with newly diagnosed type 1 diabetes who were not acutely unwell, management at home for initiation of insulin treatment and education of the child and family, would result in improved clinical and psychological outcomes at 2 years postdiagnosis.DesignA multicentre randomised controlled trial (January 2008/October 2013).SettingEight paediatric diabetes centres in England, Wales and Northern Ireland.Participants203 clinically well children aged under 17 years, with newly diagnosed type 1 diabetes and their carers.InterventionManagement of the initiation period from diagnosis at home, for a minimum of 3 days, to include at least six supervised injections and delivery of pragmatic educational care.Main outcome measuresPrimary outcome was glycosylated haemoglobin (HbA1c) concentration at 24 months postdiagnosis. Secondary outcomes included coping, anxiety, quality of life and use of NHS resources.Results203 children, newly diagnosed, were randomised to commence management at home (n=101) or in hospital (n=102). At the 24 month primary end point, there was one withdrawal and a follow-up rate of 194/202 (96%). Mean HbA1c in the home treatment arm was 72.1 mmol/mol and in the hospital treated arm 72.6 mmol/mol. There was a negligible difference between the mean HbA1c levels in the two arms adjusted for baseline (1.01, 95% CI 0.93 to 1.09). There were mostly no differences in secondary outcomes at 24 months, apart from better child self-esteem in the home-arm. No home-arm children were admitted to hospital during initiation and there were no adverse events at that time. The number of investigations was higher in hospital patients during the follow-up period. There were no differences in insulin regimens between the two arms.ConclusionsThere is no evidence of a difference between home-based and hospital-based initiation of care in children newly diagnosed with type 1 diabetes across relevant outcomes.Trial registration number ISRCTN78114042.
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