Accurate, patient-centred evaluation of physical function in patients with cancer can provide important information on the functional impacts experienced by patients both from the disease and its treatment. Increasingly, digital health technology is facilitating and providing new ways to measure symptoms and function. There is a need to characterise the longitudinal measurement characteristics of physical function assessments, including clinician-reported outcome, patient-reported ported outcome (PRO), performance outcome tests and wearable data, to inform regulatory and clinical decision-making in cancer clinical trials and oncology practice.
In this prospective study, we are enrolling 200 English-speaking and/or Spanish-speaking patients with breast cancer or lymphoma seen at Mayo Clinic or Yale University who will receive intravenous cytotoxic chemotherapy. Physical function assessments will be obtained longitudinally using multiple assessment modalities. Participants will be followed for 9 months using a patient-centred health data aggregating platform that consolidates study questionnaires, electronic health record data, and activity and sleep data from a wearable sensor. Data analysis will focus on understanding variability, sensitivity and meaningful changes across the included physical function assessments and evaluating their relationship to key clinical outcomes. Additionally, the feasibility of multimodal physical function data collection in real-world patients with breast cancer or lymphoma will be assessed, as will patient impressions of the usability and acceptability of the wearable sensor, data aggregation platform and PROs.
This study has received approval from IRBs at Mayo Clinic, Yale University and the US Food and Drug Administration. Results will be made available to participants, funders, the research community and the public.
Third delay refers to delays in delivering requisite care to patients after they arrive at a health facility. In low-resource care settings, effective triage and flow of care are difficult to guarantee. In this study, we aimed to identify delays in the delivery of care to critically ill patients and possible ways to address these delays.
This was an exploratory qualitative study using in-depth interviews and patient journeys. The qualitative data were transcribed and aggregated into themes in NVivo V.12 Plus using inductive and deductive approaches.
This study was conducted in four secondary-level public Kenyan hospitals across four counties between March and December 2021. The selected hospitals were part of the Clinical Information Network.
Purposive sampling method was used to identify administrative and front-line healthcare providers and patients. We conducted 12 in-depth interviews with 11 healthcare workers and patient journeys of 7 patients. Informed consent was sought from the participants and maintained throughout the study.
We identified a cycle of suboptimal systems for care with adaptive mechanisms that prevent quality care to critically ill patients. We identified suboptimal systems for identification of critical illness, inadequate resources for continuity care and disruption of the flow of care, as the major causes of delays in identification and the initiation of essential care to critically ill patients. Our study also illuminated the contribution of inflexible bureaucratic non-clinical business-related organisational processes to third delay.
Eliminating or reducing delays after patients arrive at the hospital is a time-sensitive measure that could improve the care outcomes of critically ill patients. This is achievable through an essential emergency and critical care package within the hospitals. Our findings can help emphasise the need for standardised effective and reliable care priorities to maintain of care of critically ill patients.
Approximately 10% of chronic pain patients who receive opioids develop an opioid use disorder (OUD). Tapering programmes for these patients show high drop-out rates. Insight into chronic pain patients’ experiences with tapering programmes for prescription OUD could help improve such programmes. Therefore, we investigated the perspectives of chronic pain patients with prescription OUD to identify facilitators and barriers to initiate and complete a specialised OUD tapering programme.
A qualitative study using semi-structured interviews on experiences with initiation and completion of opioid tapering was audio recorded, transcribed and subject to directed content analysis.
This study was conducted in two facilities with specialised opioid tapering programmes in the Netherlands.
Twenty-five adults with chronic pain undergoing treatment for prescription OUD participated.
Participants indicated that tapering is a personal process, where willingness and motivation to taper, perceived (medical) support and pain coping strategies have an impact on the tapering outcome. The opportunity to join a medical-assisted tapering programme, shared decision-making regarding tapering pace, tapering location, and receiving medical and psychological support facilitated completion of an opioid tapering programme.
According to patients, a successful treatment of prescription OUD requires a patient-centred approach that combines personal treatment goals with shared decision-making on opioid tapering. Referral to a specialised tapering programme that incorporates opioid rotation, non-judgmental attitudes, and psychological support can create a safe and supportive environment, fostering successful tapering and recovery.