Many patients who could benefit from palliative care (PC) do not access it because of the timing and tenor of the introduction provided by their specialist. A barrier to improving specialists' (from disciplines other than PC) engagement with PC services may be an inadequate understanding of how those specialists view PC. As part of a larger project to develop public messaging for advance care planning, PC, and hospice, we conducted a qualitative market research study aimed at identifying the "deep metaphors" held by specialists about PC to provide an empirical foundation for more effective outreach and messaging. To identify deep metaphors, we used the qualitative Zaltman Metaphor Elicitation Technique to uncover thought patterns from participants' images and interview responses, revealing deeper emotional meanings and unconscious mental orientations. We enrolled 20 provider-level clinicians from a variety of professional disciplines and specialties to participate in a one-hour semi-structured interview that required prework. The interviews were videorecorded and transcribed and were analyzed along with images brought by participants using a variation of the constant comparative method. The themes included: Having to tell patients the "right" information and path; Not allowing myself to make mistakes; Depending on algorithms so I can give my patients the best care; Putting the patient in charge can challenge clinical algorithms; Observing that PC seems to lack an objectively "right" decision; Consulting PC invites subjectivity best contained at the end of the algorithm. These themes can inform strategies for outreach and messaging to other serious illness specialist clinicians to lower reluctance to consult PC, increasing patient access.
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http://dx.doi.org/10.1089/jpm.2024.0248 | 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.
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