AI-Personalized Discharge Education for Patients After Lung Cancer Surgery (AI-LUNG)
Effect of AI-Personalized Discharge Education on the Quality of Discharge Teaching and Recovery Outcomes in Patients After Lung Cancer Surgery: A Randomized Controlled Trial
調査の概要
詳細な説明
This is a single-center, prospective, single-blind randomized controlled trial designed to evaluate whether AI-personalized discharge education can improve discharge teaching quality and postoperative recovery outcomes among patients undergoing surgery for lung cancer. A total of 156 eligible participants will be randomly assigned in a 1:1 ratio to an intervention group or a control group.
Participants in the control group will receive routine discharge care, including verbal education provided by nursing staff and a standardized printed discharge education booklet covering medication use, wound care, respiratory exercises, physical activity, diet, follow-up, and other routine postoperative care.
Participants in the intervention group will receive routine discharge care plus AI-personalized discharge education. Within 24 hours before discharge, relevant patient information will be entered into a structured system, including surgical approach, extent of lung resection, pain score, dyspnea score, comorbidities, discharge medications, home care conditions, educational level, smoking history, and postoperative complications. A large language model will then generate an individualized discharge guidance document. The guidance will include medication instructions, respiratory rehabilitation exercises, wound and activity management, follow-up planning, and warning signs requiring medical attention. All AI-generated content will be reviewed and approved by a responsible nurse before being delivered to the participant or caregiver.
The primary outcome is discharge teaching quality, assessed using the Quality of Discharge Teaching Scale (QDTS) on the day of discharge after the intervention. Secondary outcomes include self-efficacy for postoperative rehabilitation management, assessed using the SESPRM-LC scale, and quality of life, assessed using the Functional Assessment of Cancer Therapy-Lung (FACT-L) scale, both measured one month after discharge.
The study will also explore the relationships among discharge teaching quality, self-efficacy, and quality of life, including the potential mediating role of self-efficacy.
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究連絡先
- 名前：Weiguang Zhou, Master's
- 電話番号：+86 13624449503
- メール：254402969@qq.com
研究場所
-
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Jilin
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Siping、Jilin、中国、136000
- 募集
- Siping Central People's Hospital
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主任研究者：
- Yang Liu, PhD
-
コンタクト：
- Weiguang Zhou, Master's
- 電話番号：+86 13624449503
- メール：254402969@qq.com
-
-
参加基準
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
説明
Inclusion Criteria:
- Pathologically confirmed primary lung cancer and underwent radical lung cancer surgery by thoracoscopic or open approach, including lobectomy, pneumonectomy, or wedge resection.
- Age 18 to 80 years.
- Clinical stage I to III.
- No distant organ metastasis.
- Clinically stable after surgery, conscious, and able to perform basic listening, speaking, and reading activities, with planned discharge to home for recovery.
- The participant or primary caregiver is able to use a smartphone and WeChat.
- Able and willing to provide informed consent and voluntarily participate in the study.
Exclusion Criteria:
- Recurrent lung cancer or previous treatment with targeted therapy, chemotherapy, or radiotherapy.
- Severe aphasia, cognitive impairment (MMSE <24), or psychiatric disorders that prevent independent completion of study questionnaires.
- Severe cardiac, hepatic, or renal dysfunction, or another malignant tumor.
- Severe postoperative complications requiring prolonged hospitalization, such as bronchopleural fistula or major bleeding.
- Participation in another interventional clinical study.
- Unable to complete the 1-month follow-up because of travel or residence outside the study area after discharge.
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：支持療法
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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実験的：AI-Personalized Discharge Education
Participants receive routine discharge education plus AI-personalized discharge guidance.
The personalized guidance is generated based on individual clinical and care-related information and is reviewed by a responsible nurse before being provided to the participant or caregiver.
|
Participants receive an individualized discharge guidance plan generated by an artificial intelligence system based on clinical and care-related information, including surgical approach, extent of lung resection, pain and dyspnea scores, comorbidities, discharge medications, home care conditions, educational level, smoking history, and postoperative complications.
The guidance includes medication instructions, respiratory exercises, wound and activity management, follow-up planning, and warning signs requiring medical attention.
All AI-generated content is reviewed by a responsible nurse before being provided to the participant or caregiver.
Participants receive routine discharge education provided by nursing staff, including verbal instructions and a standardized printed discharge booklet covering medication use, wound care, respiratory exercises, physical activity, diet, follow-up, and other routine postoperative care.
|
|
アクティブコンパレータ：Routine Discharge Education
Participants receive routine discharge education, including verbal instructions from nursing staff and a standardized printed discharge education booklet covering medication use, wound care, respiratory exercises, physical activity, diet, follow-up, and related postoperative care.
|
Participants receive routine discharge education provided by nursing staff, including verbal instructions and a standardized printed discharge booklet covering medication use, wound care, respiratory exercises, physical activity, diet, follow-up, and other routine postoperative care.
|
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Quality of Discharge Teaching Scale (QDTS) Total Score
時間枠：On the day of discharge, immediately after the intervention
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Discharge teaching quality will be assessed using the Quality of Discharge Teaching Scale (QDTS).
The QDTS contains 24 items scored from 0 to 10, with a total score ranging from 0 to 240.
Higher scores indicate better quality of discharge teaching.
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On the day of discharge, immediately after the intervention
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Self-Efficacy for Postoperative Rehabilitation Management (SESPRM-LC) Total Score
時間枠：1 month after discharge
|
Self-efficacy for postoperative rehabilitation management will be assessed using the SESPRM-LC scale.
The scale contains 27 items scored from 1 to 5, with a total score ranging from 27 to 135.
Higher scores indicate greater self-efficacy.
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1 month after discharge
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Quality of Life Measured by the Functional Assessment of Cancer Therapy-Lung (FACT-L)
時間枠：1 month after discharge
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Quality of life will be assessed using the Functional Assessment of Cancer Therapy-Lung (FACT-L).
Higher scores indicate better quality of life.
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1 month after discharge
|
協力者と研究者
スポンサー
捜査官
- 主任研究者：Yang Liu, PhD、Xiamen University
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- AI-LUNG-RCT-2026-01
- SKJT2026-003 (その他の識別子：Ethics Committee of Siping Central People's Hospital)
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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