Objective: There may be ethical issues associated with allowing certain inpatients to vote as some may be cognitively impaired. During the 2007 elections in France, we conducted a prospective observational study on voting among hospitalized patients.
Method: Patients hospitalized in an Internal Medicine and Geriatric Department on election day were included. The primary outcome was the turnout among registered inpatients, and secondary outcomes were Mini-Mental State Examination (MMSE) scores and reasons for abstention.
Results: Of 142 inpatients (mean age 73 years), 84 were eligible to vote, and 22 actually voted (turnout 25.2%). Among the voters, 23% had an MMSE score of less than 12; 58% of abstentions were procedure-related.
Discussion: In our study, some inpatients did not vote as a result of procedural issues. When patients with severe cognitive impairment vote, there is a potential risk of vote diversion. Voting procedures should be improved to give inpatients easier access to the ballot while protecting them from the risk of fraud.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/0898264309338297 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Cost-effectiveness of a Low-cost Educational Messaging and Prescription-fill Reminder Intervention to Improve Medication Adherence Among Individuals With Intellectual and Developmental Disability and Hypertension.
Med Care
January 2025
Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.
Background: Adults with intellectual and developmental disabilities (IDDs) have a similar prevalence of hypertension as the general population, but a higher rate of medication nonadherence at 50% compared with the average of 30%.
Objectives: To assess the cost-effectiveness of educational messaging and prescription-fill reminders to adults with IDD and hypertension and their helpers among Medicaid members in a randomized control trial.
Research Design: The authors calculated net cost savings by subtracting per-participant intervention costs from differences in spending between preintervention/postintervention cases versus controls.
Using a Quality-Controlled Dataset From ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients: Retrospective Observational Study.
JMIR Mhealth Uhealth
November 2024
Department of Surgery, Wake Forest School of Medicine, Winston Salem, NC, United States.
Background: ViSi Mobile has the capability of monitoring a patient's posture continuously during hospitalization. Analysis of ViSi telemetry data enables researchers and health care providers to quantify an individual patient's movement and investigate collective patterns of many patients. However, erroneous values can exist in routinely collected ViSi telemetry data.
View Article and Find Full Text PDFProposed categories for reporting of service organization in rehabilitation in clinical trials: a discussion paper.
Eur J Phys Rehabil Med
December 2024
Department of Physical Medicine and Rehabilitation, University Hospital of Oslo, Oslo, Norway.
Background: The lack of standardized reporting for crucial organizational factors in rehabilitation poses a significant barrier to understanding their impact on patient outcomes in clinical trials and meta-analyses.
Aim: Based on the categories in the International Classification of Service Organization in Rehabilitation (ICSO-R 2.0), we aimed to develop reporting standards specifically for organizational factors in clinical trials.
Machine learning-augmented interventions in perioperative care: a systematic review and meta-analysis.
Br J Anaesth
December 2024
Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA; Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, St. Louis, MO, USA. Electronic address:
Article Synopsis
- A systematic review was conducted to evaluate the effectiveness of machine learning (ML)-driven interventions in improving perioperative outcomes in surgical patients through analysis of randomized controlled trials (RCTs).
- The review included 13 studies focusing on three types of ML interventions: Hypotension Prediction Index (HPI), Nociception Level Index (NoL), and a scheduling system, identifying specific outcomes such as hypotension and pain management.
- Results showed that while HPI significantly reduced intraoperative hypotension and NoL lowered postoperative pain scores, there were no notable differences in other outcomes like opioid consumption or hospital stay, indicating gaps that need to be addressed for better implementation of ML interventions in clinical practice.
Outpatient mental health care during high incidence phases of the COVID-19 pandemic in Germany - changes in utilization, challenges and post-COVID care.
Eur Arch Psychiatry Clin Neurosci
December 2024
Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Untere Zahlbacher Straße 8, 55131, Mainz, Germany.
Background: As only a few studies have examined the impact of the COVID-19 pandemic on the mental health outpatient system so far, the aim of the COVID Ψ Outpatient Survey was to gain insight from outpatient providers in Germany regarding changes in utilization; associated problems and challenges; telemedicine services; interactions with inpatient and nursing home services; and experiences with post-COVID syndromes.
Methods: Between July and September 2021, we invited 351 randomly selected outpatient mental health specialists to take part in the online survey via e-mail. Additionally, we extended an invitation to professional associations to encourage their members to participate.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!