Background: Little is known about the burden of illness experienced by people with cystic fibrosis (pwCF) since the advent of CF transmembrane conductance regulator (CFTR) modulator therapies. Studies that characterize the nature of illness burden are needed to inform the development and implementation of palliative care programs that can serve this population and address quality of life concerns.
Methods: Adults with CF treated at five U.S. CF centers were surveyed to obtain baseline data for the Improving Life with CF primary palliative care implementation trial. Consenting patients completed the Integrated Palliative Care Outcome Scale (IPOS), a multidimensional measure of unmet needs for palliative care. Sociodemographic and clinical information was also obtained. The associations among these variables were examined through bivariate and multivariable analyses.
Results: Among 256 adults, the most distressing symptoms included not feeling "at peace", communication difficulties with family/friends, anxiety over illness or its treatment, and a lack of energy. In the multivariable analyses, CFTR modulator use was associated with lower IPOS total and physical symptoms scores; female sex and increased hospitalizations were associated with higher scores. Increased age and history of distal intestinal obstructive syndrome were associated with higher IPOS physical symptoms scores.
Conclusions: These findings illuminate the nature of illness burden for pwCF in the era of CFTR modulator therapies. Although illness burden is positively affected by modulator therapy, there is a continuing need for palliative care to address physical, emotional, and spiritual distress, and the communication and practical needs experienced by adults with CF.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jcf.2023.10.018 | DOI Listing |
J Am Geriatr Soc
December 2024
Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
BMC Med Inform Decis Mak
December 2024
Nivel, Netherlands Institute for Health Services Research, Otterstraat 118, Utrecht, 3513 CR, The Netherlands.
Background: At the beginning of the COVID-19 pandemic in 2020, little was known about the spread of COVID-19 in Dutch nursing homes while older people were particularly at risk of severe symptoms. Therefore, attempts were made to develop a nationwide COVID-19 repository based on routinely recorded data in the electronic health records (EHRs) of nursing home residents. This study aims to describe the facilitators and barriers encountered during the development of the repository and the lessons learned regarding the reuse of EHR data for surveillance and research purposes.
View Article and Find Full Text PDFBMC Palliat Care
December 2024
The Palliative Care Center, Päijät-Häme Wellbeing Services County, Lahti, Finland.
Background: Studies show that hospital deaths bring significant health care costs, and the involvement of specialized palliative care can help to reduce these costs. The aim of this retrospective registry-based study was to evaluate end-of-life hospital costs in patients dying in a university hospital oncology ward, with or without specialized palliative outpatient clinic contact at any timepoint.
Methods: The study population consists of all patients who died in the Kuopio University Hospital oncology ward in the years 2012-2018 (n = 457).
BMC Med Res Methodol
December 2024
Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Background: The aim of this study is to develop a method we call "cost mining" to unravel cost variation and identify cost drivers by modelling integrated patient pathways from primary care to the palliative care setting. This approach fills an urgent need to quantify financial strains on healthcare systems, particularly for colorectal cancer, which is the most expensive cancer in Australia, and the second most expensive cancer globally.
Methods: We developed and published a customized algorithm that dynamically estimates and visualizes the mean, minimum, and total costs of care at the patient level, by aggregating activity-based healthcare system costs (e.
Am J Emerg Med
December 2024
Department of Anesthesiology and Critical Care, All India Institute of Medical Sciences, Bhubaneswar, India.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!