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Purpose: Patient feedback plays a significant role in hospital service improvement. However, how to encourage patient feedback that can guide hospital service improvement is still being explored. By examining patient feedback data related to a tertiary hospital in China that was collected from the "12345" Government Service Convenience Hotline (GSCH), the paper discusses the learnings from GSCH in encouraging patient feedback and how quality improvement initiatives have effected the number and types of complaints made by patients and their families via GSCH.
Methods: The study retrospectively collected and analyzed complaints on a Tertiary General University-affiliated hospital made via GSCH between 2016 and 2020. Patient care process-related complaints were coded using the health care complaint analysis tool (HCAT) and other complaint data were categorized based on the nature of the complaints. The autoregressive integrated moving average (ARIMA) models and mosaic plots were used to observe complaints trends and different complaint variables, respectively. The relationship between various quality improvement initiatives introduced since 2018 and patient complaints was also tested.
Results: Close to 67% (n=2688) of calls made to the GSCH hotlines about the hospital were classified as a complaint including 60.6% vs 39.4% related to patient care process and nonpatient care process, respectively. For patient care process-related complaints, specifically against departments and personnel, 57.72% (n=961) were on clinical departments and 55.87% (n=471) were on doctors. Comparing the proportion of the complaint data in different categories in the two-year period of 2017-2018 and 2019-2020, an increase in management problems (47.73% vs 58.50%, <0.001) and decrease in relationship problems (33.65% vs 25.69%, =0.002) were recorded.
Conclusion: A unified, transparent, and impartial GSCH platform greatly encourages feedback from patients and families. Feedbacks provide evidence to guide health care organizations in improving the overall experience of patients and the quality of services that they provide.
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http://dx.doi.org/10.2147/PPA.S397444 | DOI Listing |
Int J Comput Assist Radiol Surg
September 2025
Institute of Computer Science, Friedrich-Schiller-Universität, Fürstengraben 1, 07743, Jena, Thuringia, Germany.
Purpose: Cerebral aneurysms are blood-filled bulges that form at weak points in blood vessel walls, and their rupture can lead to life-threatening consequences. Given the high risk associated with these aneurysms, thorough examination and analysis are essential for determining appropriate treatment. While existing tools such as ANEULYSIS and its web-based counterpart WEBANEULYSIS provide interactive means for analyzing simulated aneurysm data, they lack support for collaborative analysis, which is crucial for enhancing interpretation and improving treatment decisions in medical team meetings.
View Article and Find Full Text PDFPsychol Res
September 2025
Neurorehabilitation Research Center, Kio University, Nara, Japan.
The ability to detect small errors between sensory prediction in the brain and actual sensory feedback is important in rehabilitation after brain injury, where motor function needs to be restored. To date in the recent study, a delayed visual error detection task during upper limb movement was used to measure this ability for healthy participants or patients. However, this ability during walking, which is the most sought-after in brain-injured patients, was unclear.
View Article and Find Full Text PDFEur J Prev Cardiol
September 2025
Department of Cardiology, Esbjerg and Grindsted Hospital - University Hospital of Southern Denmark, Esbjerg, Denmark.
Aim: This study aimed to establish general consensus on a systematic needs assessment model to determine eligibility for cardiac rehabilitation (CR) as part of secondary prevention in individuals with atrial fibrillation (AF). Specific objectives included identifying relevant needs assessment criteria and establishing consensus on referral criteria.
Methods: A Delphi study was conducted following the ACCORD guidelines (ACcurate COnsensus Reporting Document) with participation of an international, multi-disciplinary expert panel including physicians, nurses and other healthcare professionals, across primary and secondary care as well as academic research.
Background: To help reduce mental health disparities in the transgender and gender diverse (TGD) population, there is a need to equip future psychiatric mental health nurse practitioners (PMHNPs) with affirming care competence.
Method: This study evaluated a multimodal education program that combined eLearning with two virtual standardized patient (SP) simulations to teach PMHNP students to provide affirming mental health care to TGD people.
Results: Slight increases in knowledge and attitudes were not practically applicable.
Scand J Caring Sci
September 2025
Department of Nursing, University of Seville, Seville, Spain.
Background: The nurse-patient relationship is central to quality nursing care, yet its impact remains difficult to quantify. While existing models assess caring competencies from the perspective of nursing students and professionals, there is a lack of validated instruments incorporating direct patient feedback.
Objective: This study aimed to develop and validate the Nursing Interaction in Caring_Competence Assessment-Patient (NIC_CA-Patient) tool, a patient-centred instrument designed to measure caring interaction in nursing practice and establish a predictive model of its development from the patient's perspective.