Dataset Information

A smart device application for acute pain service in surgical patients at a tertiary hospital in South Korea: a prospective observational feasibility study.

ABSTRACT:

Background

Pain assessment and patient education are essential for successful postoperative pain management. However, the provision of personnel for performing these tasks is often insufficient. Recently, attempts have been made to implement smartphone applications for educating and monitoring surgical patients. We developed a smartphone application (app) for postoperative pain management, and conducted a feasibility study.

Methods

This single-center prospective observational study included 60 patients aged < 70 years who underwent elective surgery. This study evaluated the SmartAPS application, which offers tools for postoperative pain assessment and educational materials for pain management. The primary outcome was the active usage rate, defined as responding at least twice daily on postoperative days (PODs) 1 and 2. Additionally, we investigated patient satisfaction with the app and educational videos as well as any challenges encountered during use.

Results

Sixty patients were enrolled in the study and active app use was achieved in 56.7% of them. Response rates peaked at 85.0% for pain intensity and 83.3% for opioid-related side effects at 14:00 on POD 1 but dropped to 56.7% and 58.3%, respectively, at 18:00 on POD 2. Among the patients who responded to the survey regarding the app usage, 84.0% reported satisfaction with the app and 80% found it beneficial for managing postoperative pain. Furthermore, 92.0% did not encounter difficulties using the app, indicating a generally positive user experience.

Conclusions

Our findings support the utility of the SmartAPS application in acute pain services, highlighting its potential for improving postoperative pain management.

SUBMITTER: Yoon SH

PROVIDER: S-EPMC11317321 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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Publications

A smart device application for acute pain service in surgical patients at a tertiary hospital in South Korea: a prospective observational feasibility study.

Yoon Soo-Hyuk SH Yoon Susie S Jeong Da Som DS Lee Minah M Lee Eunju E Cho Young Jae YJ Lee Ho-Jin HJ

Anesthesia and pain medicine 20240723 3

<h4>Background</h4>Pain assessment and patient education are essential for successful postoperative pain management. However, the provision of personnel for performing these tasks is often insufficient. Recently, attempts have been made to implement smartphone applications for educating and monitoring surgical patients. We developed a smartphone application (app) for postoperative pain management, and conducted a feasibility study.<h4>Methods</h4>This single-center prospective observational stud ...[more]

PMID: 39069648

Similar Datasets

Project description:BackgroundChatGPT has been tested in health care, including the US Medical Licensing Examination and specialty exams, showing near-passing results. Its performance in the field of anesthesiology has been assessed using English board examination questions; however, its effectiveness in Korea remains unexplored.ObjectiveThis study investigated the problem-solving performance of ChatGPT in the fields of anesthesiology and pain medicine in the Korean language context, highlighted advancements in artificial intelligence (AI), and explored its potential applications in medical education.MethodsWe investigated the performance (number of correct answers/number of questions) of GPT-4, GPT-3.5, and CLOVA X in the fields of anesthesiology and pain medicine, using in-training examinations that have been administered to Korean anesthesiology residents over the past 5 years, with an annual composition of 100 questions. Questions containing images, diagrams, or photographs were excluded from the analysis. Furthermore, to assess the performance differences of the GPT across different languages, we conducted a comparative analysis of the GPT-4's problem-solving proficiency using both the original Korean texts and their English translations.ResultsA total of 398 questions were analyzed. GPT-4 (67.8%) demonstrated a significantly better overall performance than GPT-3.5 (37.2%) and CLOVA-X (36.7%). However, GPT-3.5 and CLOVA X did not show significant differences in their overall performance. Additionally, the GPT-4 showed superior performance on questions translated into English, indicating a language processing discrepancy (English: 75.4% vs Korean: 67.8%; difference 7.5%; 95% CI 3.1%-11.9%; P=.001).ConclusionsThis study underscores the potential of AI tools, such as ChatGPT, in medical education and practice but emphasizes the need for cautious application and further refinement, especially in non-English medical contexts. The findings suggest that although AI advancements are promising, they require careful evaluation and development to ensure acceptable performance across diverse linguistic and professional settings.

Dataset Information

A smart device application for acute pain service in surgical patients at a tertiary hospital in South Korea: a prospective observational feasibility study.

Background

Methods

Results

Conclusions

Publications

A smart device application for acute pain service in surgical patients at a tertiary hospital in South Korea: a prospective observational feasibility study.

Similar Datasets

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