Background: Embedding communication and surveillance technology into the home health care setting has demonstrated the capacity for increased data efficiency, assumptions of convenience, and smart solutions to pressing problems such as caregiver shortages amid a rise in the aging population. The race to develop and implement these technologies within home care and public health nursing often leaves several ethical questions needing to be answered.
Objective: The aim of this study was to understand the ethical and care implications of implementing digital communication and surveillance technologies in the home setting as perceived by health caregivers practicing in the region of Halland in Sweden with clients receiving home care services.
Methods: A questionnaire was completed by 1260 home health caregivers and the written responses were evaluated by qualitative inductive content analysis. The researchers reviewed data independently and consensus was used to determine themes.
Results: This study identified three main themes that illustrate ethical issues and unintended effects as perceived by caregivers of introducing digital communication and surveillance technologies in the home: (1) digital dependence vulnerability, (2) moral distress, and (3) interruptions to caregiving. This study highlights the consequences of technology developers and health systems leaders unintentionally ignoring the perspectives of caregivers who practice the intuitive artistry of providing care to other humans.
Conclusions: Beyond the obtrusiveness of devices and impersonal data collection designed to emphasize health care system priorities, this study discovered a multifaceted shadow side of unintended consequences that arise from misalignment between system priorities and caregiver expertise, resulting in ethical issues. To develop communication and surveillance technologies that meet the needs of all stakeholders, it is important to involve caregivers who work with clients in the development process of new health care technology to improve both the quality of life of clients and the services offered by caregivers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656666 | PMC |
http://dx.doi.org/10.2196/47586 | DOI Listing |
Sci Rep
January 2025
Department of Emergency, the Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Hepatocellular carcinoma (HCC) is a predominant cause of cancer-related mortality globally, noted for its propensity towards late-stage diagnosis and scarcity of effective treatment modalities. The process of metabolic reprogramming, with a specific emphasis on lipid metabolism, is instrumental in the progression of HCC. Nevertheless, the precise mechanisms through which lipid metabolism impacts HCC and its viability as a therapeutic target have yet to be fully elucidated.
View Article and Find Full Text PDFJ Am Coll Cardiol
January 2025
British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom. Electronic address:
Background: An initial decline in estimated glomerular filtration rate (eGFR) often leads to reluctance to continue life-saving therapies in patients with heart failure (HF).
Objectives: The goal of this study was to describe the association between initial decline in eGFR and subsequent clinical outcomes in patients randomized to placebo or finerenone.
Methods: In this prespecified analysis of FINEARTS-HF (Finerenone Trial to Investigate Efficacy and Safety Superior to Placebo in Patients with Heart Failure), we examined the association between initial decline in eGFR (≥15%) from randomization to 1 month and subsequent outcomes in patients assigned to finerenone or placebo.
BMC Med Inform Decis Mak
January 2025
Department of Psychiatry, University of Ottawa, Ottawa, Canada.
Background: The 'Ottawa Depression Algorithm' is an evidence-based online tool developed to support primary care professionals care for adults with depression. Uptake of such tools require provider behaviour change. Identifying issues which may impact use of an innovation in routine practice (i.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, United States.
Objective: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health Systems 4M Framework (What Matters, Medication, Mentation, and Mobility) from nursing home worker text messages, deploy automated mapping of these expressions to a taxonomy, and explore the created expressions and relationships.
Materials And Methods: The dataset included 21 357 text messages from healthcare workers in 12 Missouri nursing homes. A sample of 860 messages was annotated by clinical experts to form a "Gold Standard" dataset.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!