Dataset Information

Development of an integrated electronic platform for patient self-report and management of adverse events during cancer treatment.

ABSTRACT: Background:Significant adverse events (AE) during cancer therapy disrupt treatment and escalate to emergency admissions. Approaches to improve the timeliness and accuracy of AE reporting may improve safety and reduce health service costs. Reporting AE via patient reported outcomes (PROs), can improve clinician-patient communication and making data available to clinicians in 'real-time' using electronic PROs (ePROs) could potentially transform clinical practice by providing easily accessible records to guide treatment decisions. This manuscript describes the development of eRAPID (electronic patient self-Reporting of Adverse-events: Patient Information and aDvice) is a National Institute for Health Research-funded programme, a system for patients to self-report and manage AE online during and after cancer treatment. Materials and methods:A multidisciplinary team of IT experts, staff and patients developed using agile principles a secure web application interface (QStore) between an existing online questionnaire builder (QTool) displaying real-time ePRO data to clinicians in the electronic patient record at Leeds Teaching Hospitals NHS Trust. Hierarchical algorithms were developed corresponding to Common Terminology Criteria for Adverse Events grading using the QTool question dependency function. Patient advocates (N?=?9), patients (N?=?13), and staff (N?=?19) usability tested the system reporting combinations of AE. Results:The eRAPID system allows patients to report AE from home on PC, tablet or any web enabled device securely during treatment. The system generates immediate self-management advice for low or moderate AE and for severe AE advice to contact the hospital immediately. Clinicians can view patient AE data in the electronic patient record and receive email notifications when patients report severe AE. Conclusions:Evaluation of the system in a randomised controlled trial in breast, gynaecological and colorectal cancer patients undergoing systemic therapy is currently underway. To adapt eRAPID for different treatment groups, pilot studies are being undertaken with patients receiving pelvic radiotherapy and upper gastrointestinal surgery. ISRCTN88520246.

SUBMITTER: Holch P

PROVIDER: S-EPMC5834137 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Development of an integrated electronic platform for patient self-report and management of adverse events during cancer treatment.

Holch P P Warrington L L Bamforth L C A LCA Keding A A Ziegler L E LE Absolom K K Hector C C Harley C C Johnson O O Hall G G Morris C C Velikova G G

Annals of oncology : official journal of the European Society for Medical Oncology 20170901 9

<h4>Background</h4>Significant adverse events (AE) during cancer therapy disrupt treatment and escalate to emergency admissions. Approaches to improve the timeliness and accuracy of AE reporting may improve safety and reduce health service costs. Reporting AE via patient reported outcomes (PROs), can improve clinician-patient communication and making data available to clinicians in 'real-time' using electronic PROs (ePROs) could potentially transform clinical practice by providing easily accessi ...[more]

PMID: 28911065

Similar Datasets

Project description:BackgroundAn estimated 17,000 patients are treated annually in the UK with radical radiotherapy (RT) for pelvic cancer. New treatment approaches in RT have increased survivorship and changed the subjective toxicity profile for patients who experience acute and long-term pelvic-related adverse events (AE). Multi-disciplinary follow-up creates difficulty for monitoring and responding to these events during treatment and beyond. Originally developed for use in systemic oncology therapy eRAPID (electronic patient self-Reporting of Adverse-events: Patient Information and aDvice) is an online system for patients to report AEs from home. eRAPID enables patient data to be integrated into the electronic patient records for use in clinical practice, provides patient management advice for mild and moderate AE and advice to contact the hospital for severe AE. The system has now been developed for pelvic RT patients, and we aim to test the intervention in a pilot study with staff and patients to inform a future randomised controlled trial (RCT).MethodsEligible patients are those attending St James's University hospital cancer centre and The Christie Hospital Manchester undergoing pelvic radiotherapy+/-chemotherapy/hormonotherapy for prostate, lower gastrointestinal and gynaecological cancers. A prospective 1:1 randomised (intervention or usual care) parallel group design with repeated measures and mixed methods will be employed. We aim to recruit 168 patients following recommendations for sample size estimates for pilot studies. Participants using eRAPID will report AE (at least weekly) from home weekly for 6 weeks and 6 weeks post-treatment (12-week total) then at 18 and 24 weeks. Hospital staff will review eRAPID reports and use information during consultations. Notifications will be sent to the relevant clinical team when severe symptoms are reported. We will measure patient-reported outcomes using validated questionnaires (Functional Assessment in Cancer Therapy Scale-General (FACT-G), European Organisation for Research and Treatment of Cancer Core Quality of Life questionnaire (EORTC-QLQ-C30), process of care impact (hospital records of patient contacts and admissions) and economic variables (EQ5D-5L, patient use of resources)). Staff and patient experiences will be explored via semi-structured interviews.DiscussionThe objectives are to establish feasibility, recruitment, integrity of the system and attrition rates, determine effect sizes and aid selection of the primary outcome measure for a future RCT. We will also refine the intervention by exploring staff and patient views. The overall goal of this complex intervention is to improve the safe delivery of cancer treatments, enhance patient care and standardise documentation of AE within the clinical datasets.Trial registrationClinicalTrials.gov NCT02747264.

Project description:Promoting medication adherence is a recognized challenge for prescribers. In this study, we examine whether lower medication adherence is associated with adverse safety events in individuals with decreased estimated glomerular filtration rates (eGFRs).Cross-sectional baseline analysis of prospective cohort.Baseline analysis of the Safe Kidney Care (SKC) Cohort Study, a prospective study of individuals with eGFRs<60 mL/min/1.73 m(2) intended to assess the incidence of disease-specific safety events. Kidney transplant recipients were excluded.Self-reported medication adherence based on responses to 3 questions ascertaining degree of medication regimen adherence.Adverse safety events were self-reported at baseline (class I events), such as hypoglycemia or fall thought to be related to a medication, or detected incidentally during the baseline visit (class II events), for example, hypotension or hyperkalemia. Potential drug-related problems (DRPs) were determined by analyzing participants' medications with respect to dosing guidelines based on their screening eGFRs at the time of medication reporting.Relationship between medication adherence and disease-specific patient safety events.Of 293 SKC participants, 154 (53%) were classified as having lower medication adherence. After multivariable adjustment, lower medication adherence was significantly associated with a class I or II safety event (prevalence ratio [PR], 1.21; 95% CI, 1.04-1.41) and potential DRPs (PR, 1.29; 95% CI, 1.02-1.63). Lower medication adherence was also significantly associated with multiple (?2) class I events (PR, 1.71; 95% CI, 1.18-2.49), multiple class I or II events (PR, 1.35; 95% CI, 1.04-1.76), and multiple potential DRPs (PR, 2.11; 95% CI, 1.08-2.69) compared with those with higher medication adherence.Use of self-reported medication adherence rather than pharmacy records. Clinical relevance of detected safety events is unclear.Lower medication adherence is associated with adverse safety events in individuals with eGFRs<60 mL/min/1.73 m(2).

Project description:Lorlatinib is a novel, highly potent, brain-penetrant, third-generation ALK/ROS1 tyrosine kinase inhibitor (TKI), which has broad-spectrum potency against most known resistance mutations that can develop during treatment with crizotinib and second-generation ALK TKIs. The safety profile of lorlatinib was established based on 295 patients who had received the recommended dose of lorlatinib 100 mg once daily. Adverse events associated with lorlatinib are primarily mild to moderate in severity, with hypercholesterolemia (82.4%), hypertriglyceridemia (60.7%), edema (51.2%), peripheral neuropathy (43.7%), and central nervous system effects (39.7%) among the most frequently reported. These can be effectively managed with dose modification and/or standard supportive medical therapy, as indicated by a low incidence of permanent discontinuations due to adverse reactions. Most patients (81.0%) received at least one lipid-lowering agent. Prescription of supportive therapy should also consider the potential for drug-drug interactions with lorlatinib via engagement of specific CYP450 enzymes. This article summarizes the clinical experience from lorlatinib phase I investigators and was generated from discussion and review of the clinical study protocol and database to provide an expert consensus opinion on the management of the key adverse reactions reported with lorlatinib, including hyperlipidemia, central nervous system effects, weight increase, edema, peripheral neuropathy, and gastrointestinal effects. Overall, lorlatinib 100 mg once daily has a unique safety profile to be considered when prescribed, based on the recent U.S. Food and Drug Administration approval, for the treatment of patients with ALK-positive metastatic non-small cell lung cancer previously treated with a second-generation ALK TKI. IMPLICATIONS FOR PRACTICE: Despite the advancement of second-generation anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs), the emergence of resistance and progression of central nervous system metastases remain clinically significant problems in ALK-positive non-small cell lung cancer. Lorlatinib is a potent, brain-penetrant, third-generation, macrocyclic ALK/ROS1 TKI, with broad-spectrum potency against most known resistance mutations that can develop during treatment with existing first- and second-generation ALK TKIs. This article provides recommendations for the clinical management of key adverse reactions reported with lorlatinib.

Project description:BackgroundMultimorbidity is defined as the presence of two or more chronic diseases and associated comorbidities. There is a need to improve best practices around the provision of well-coordinated, person-centered care for persons with multimorbidities. Present health systems across the European Union (EU) focus on supporting a single-disease framework of care; the primary challenge is to create a patient-centric, integrated care ecosystem to understand and manage multimorbidity. ProACT is a large-scale project funded by the European Commission under the Horizon 2020 programme, that involved the design, development, and evaluation of a digital health platform to improve and advance home-based integrated care, and supported self-management, for older adults (aged ≥65 years) living with multimorbidity.ObjectiveThis paper describes the trial implementation protocol of a proof-of-concept digital health platform (ProACT) in 2 EU member states (Ireland and Belgium) to support older persons with multimorbidities self-managing at home, supported by their care network (CN).MethodsResearch was conducted across 2 EU member states, Ireland and Belgium. A 12-month action research trial design, divided into 3 evaluation cycles and lasting 3 months each, with a reflective redesign and development phase of 1 month after cycles 1 and 2 was conducted. Participants were 120 (60/120, 50% in Ireland and 60/120, 50% in Belgium) older persons with multimorbidities diagnosed with two or more of the following chronic conditions: diabetes, chronic obstructive pulmonary disease, chronic heart failure, and cardiovascular diseases. With permission from persons with multimorbidities, members of their CN were invited to participate in the study. Persons with multimorbidities were provided with ProACT technologies (tablet, devices, or sensors) to support them in self-managing their conditions. CN members also received access to an app to remotely support their persons with multimorbidity. Qualitative and quantitative feedback and evaluation data from persons with multimorbidity and CN participants were collected across four time points: baseline (T1), at the end of each 3-month action research cycle (T2 and T3), and in a final posttrial interview (T4). Thematic analysis was used to analyze the qualitative interview data. Quantitative data were analyzed via platform use statistics (to assess engagement) and standardized questionnaires (using descriptive and inferential statistics). This study is approved by the ethics committees of Ireland and Belgium.ResultsThe trial implementation phase for this 44-month (2016-2019) funded study was April 2018 to June 2019. The trial outcomes are at various stages of publication since 2021.ConclusionsProACT aims to co-design and develop a digital intervention with persons with multimorbidities and their CN, incorporating clinical guidelines with the state of the art in human-computer interaction, behavioral science, health psychology, and data analytic methods to deliver a digital health platform to advance self-management of multimorbidity at home, as part of a proactive, integrated model of supported person-centered care.International registered report identifier (irrid)RR1-10.2196/22125.

Dataset Information

Development of an integrated electronic platform for patient self-report and management of adverse events during cancer treatment.

Publications

Development of an integrated electronic platform for patient self-report and management of adverse events during cancer treatment.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets