ArticleFrontiers in medicine2021
Suspension of Care for Patients With Spasticity During COVID-19 Pandemic: Ethical and Medico-Legal Point of View Starting From an Italian Study.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Living With Spasticity During the COVID-19 Pandemic: A Qualitative Study of Patient, Carer and Physician Experiences.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Article
- Telerehabilitation with ARC Intellicare to Cope with Motor and Respiratory Disabilities: Results about the Process, Usability, and Clinical Effect of the "Ricominciare" Pilot Study.Sensors (Basel, Switzerland) · 2023Article
- Patients' rights in physicians' practice during Covid-19 pandemic: a cross-sectional study in Romania.BMC medical ethics · 2023Article
- Coping with COVID: Performance of China's hierarchical medical system during the COVID-19 pandemic.Frontiers in public health · 2023Article
- Quantitative assessment of spasticity: a narrative review of novel approaches and technologies.Frontiers in neurology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has revolutionized the habits of entire communities, having even more profound negative effects on assistance for the chronically ill. The sudden demand for extraordinary resources caught all worldwide countries unprepared, highlighting shortages in provision of care services. This applies to all patients, affected by COVID-19 or not, as many need continuing access to chronic diseases treatments. Almost all of the energy available has been directed toward care of COVID-19 patients, and almost nothing has been done to continue therapy for patients with spasticity. This study builds on a recent article and discusses its results as a basis for highlighting the ethical dilemmas and unintended consequences of health systems changing their priorities during the pandemic. The above mentioned study has shown increased patient-perceived spasticity during lockdown (72.2%) with reductions in perceived quality of life (70.9%). Telemedicine tools have proved insufficient, with access by only 7.3% of these patients. Despite the health emergency, it cannot be denied that this situation is a violation of these patients' rights and dignity. The healthcare system will also have to bear increased costs in the future to recover the loss of previous therapies benefits, because of their interruption. The real challenge will be to exploit the critical issues emerged during the pandemic, and to resolve the measures needed to take the care to the patient, and not
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.