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Hospitals

Hospitals is an international, peer-reviewed, open access journal on hospital management, services and policy published quarterly online by MDPI.

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All Articles (51)

User Evaluation of Technology-Based Interventions Developed to Address Falls in an Inpatient Ward

  • Nuri Sylvia Ng,
  • Nurul Amanina Binte Hussain and
  • Hong Choon Oh
  • + 8 authors

Preventing inpatient falls remains challenging for healthcare institutions globally, including in Singapore. Integrating technological innovations into fall prevention measures may optimize inpatient care and improve health outcomes. A multiphase study was conducted from 2019 to 2022, employing a human-centred design (HCD) approach to develop a technology-based inpatient fall prevention system (IFPS). The four phases include (1) pre-design observations and focus groups, (2) feature prioritization and wireframe development, (3) prototype testing and safety assessments, and (4) post-design staff training and feedback collection. The developed IFPS integrated artificial intelligence (AI) video analytics for bed-exit prediction with communication devices and autonomous commode delivery to facilitate ward communication and reduce staff workload. This paper describes the development process and user evaluation of the IFPS to assess its operational usability and safety. Potential users of the IFPS, such as ward nurses and patients, suggested features for the IFPS during the pre-design phase and thereafter evaluated the system through focus group discussions and/or feedback surveys. Pre-design focus group participants (n = 24) emphasized durability and user-friendliness requirements, informing system design. When evaluating the system, nurse users (n = 39) perceived the IFPS as effective in reducing falls (65%), enabling them to perform other duties (85%), and allowing them to remain with patients without searching for a commode (64%). Patient users (n = 21) found pre-recorded messages effective (91%), though communication clarity varied. Engaging healthcare workers in IFPS development offered valuable context-based insights, highlighting the importance of addressing technology acceptance factors early to promote adoption of fall prevention technologies in acute care settings.

23 February 2026

Overview of Proposed Inpatient Fall Prevention System. Note: Arrows denotes the direction of workflow, and the plus sign denotes combination of devices in the system for a specific function.

Evaluating the Associations Between Leapfrog Scores and Patient Safety Culture

  • Jayson Forbes,
  • T. Lucas Hollar and
  • Wesley Nguyen
  • + 5 authors

Background: Patient safety is evaluated using both internal assessments of safety culture and external hospital rating systems; however, the extent to which these measures capture related dimensions of patient safety remains uncertain. Methods: This study examined the association between hospital patient safety culture ratings and hospital safety grades. Using 2024 hospital-level data, patient safety culture was measured using the overall safety rating from the AHRQ Hospital Survey on patient safety culture and hospital safety grades derived from Leapfrog Safety Grades. Results: No significant association was observed between patient safety culture ratings and the likelihood of receiving higher Leapfrog Grades. Hospital bed size, however, was significantly associated with Leapfrog Grades, with larger hospitals demonstrating lower odds of receiving higher grades. Conclusions: These findings indicate that further research is needed to assess congruence between internal perceptions of patient safety culture and external hospital safety ratings. The results underscore potential measurement differences between federal survey-based assessments and private nonprofit grading methodologies and suggest caution in assuming equivalence across patient safety metrics. Further research is warranted to clarify how these tools align and to determine their respective roles in evaluating hospital patient safety.

18 March 2026

Analytical Assessment of Environmental Noise in High- or Low-Risk Neonatal Wards and Neonatal Intensive Care Units

  • Leonardo Nava-Velazquez,
  • Angélica Saraí Jiménez-Osorio and
  • Erika Elizabeth Rodriguez-Torres
  • + 4 authors

This study analyzed environmental noise levels in neonatal hospital units, including both low- and high-risk nurseries, as well as neonatal intensive care units (NICUs). Continuous 24 h measurements over ten days revealed that average sound levels significantly exceeded international recommendations. Hourly LAeq values frequently reached or surpassed 65 dB, with over 20% of daily recordings exceeding this limit, and in some instances, more than 50%. Heatmaps indicated consistent noise patterns: high-risk nurseries experienced peaks during late morning and afternoon, low-risk nurseries at night, while NICU maintained elevated levels throughout the day. The main sources of noise included alarms, medical equipment, and activity from staff or visitors. This highlights the need for hospital policies aimed at protecting the neurosensory health of neonates. These findings provide evidence-based recommendations for creating quieter environments in neonatal care.

10 February 2026

Nurse Staffing and Hospital-Acquired Infections in Rural Versus Non-Rural Hospitals

  • Kimberly Jones-Rudolph,
  • Lorraine Brown and
  • Soumya Upadhyay
  • + 1 author

This study explores how hospital location (rural/non-rural) may moderate the nurse staffing ratio’s impact on three hospital-acquired infections. This study used data from 2022 to 2024 on nurse staffing and hospital characteristics from the American Hospital Association Annual Survey and data on hospital-acquired infection rates from the Medicare Care Compare dataset provided by the Centers for Medicare and Medicaid Services. After removing missing values, the final dataset included 7997 hospital-year observations across the US. Independent variables include rural hospital designation, nursing hours per patient day, and RN FTE per adjusted day. The dependent variables included infection rates of Central Line-Associated Bloodstream Infection, Catheter-Associated Urinary Tract Infection, and Methicillin-Resistant Staphylococcus aureus. Multiple regression was performed in Stata 18. Our research found that across all three infection types, an increase in nursing hours per patient day is significantly associated with a decrease in the infection rate, and that impact was not moderated by hospital rurality. Extra time spent with patients in either a rural or non-rural hospital decreased hospital-acquired infection rates. While RN FTEs were included in the model, total nursing hours per patient day emerged as the more consistent predictor of lower hospital-acquired infection rates.

5 February 2026

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Hospitals - ISSN 2813-4524