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In the context of patient education, the integration of mobile applications-an e-health modality-among healthcare professionals and patients has garnered significant attention alongside technological advancements. Mobile applications offer distinct advantages, notably the vast global population capable of accessing and utilizing these digital tools. A study evaluating the impact of mobile applications on the recovery of patients undergoing ambulatory surgery demonstrated that the quality of recovery was superior in the intervention group. In research investigating mobile application-based education following breast cancer surgery, significant improvements were observed in pain levels, affected shoulder functions, and anxiety levels within the intervention group .
Among patients undergoing cardiac surgery, 98% of those who received education via a mobile application reported that the application was beneficial to their recovery process . Furthermore, in a study involving a mobile application for patients undergoing heart valve surgery, the intervention group exhibited significantly lower probabilities of hospitalization, emergency department visits, and complications . An integrative review of mobile applications in the health education of surgical patients noted that while research has involved bariatric, orthopedic, colorectal, mastectomy, urological, and neurological surgical patients, there is an emphasized need for further nursing research utilizing emerging communication technologies.
To date, no studies evaluating the effectiveness of preoperative education delivered via mobile application for patients undergoing thoracic surgery have been identified. Initiating preoperative preparation for patients scheduled for thoracic surgery is anticipated to positively influence postoperative recovery and quality of life, highlighting the necessity for research in this domain.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| E-health preoperative education | Experimental | E-health education group |
|
| Control | No Intervention | Standard care group |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| E-health education | Other | Preoperative education provided to patients via a mobile e-health application including video-based and written educational content developed based on current thoracic surgery guidelines. |
| Measure | Description | Time Frame |
|---|---|---|
| Health-Related Quality of Life (EQ-5D-5L) | Health-related quality of life will be assessed using the Turkish version of the EQ-5D-5L scale. The scale consists of two parts: a descriptive system covering five dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and the EQ Visual Analogue Scale (EQ VAS). The descriptive system provides a health state profile across five levels for each dimension. The EQ VAS is a vertical 0-100 scale where 0 represents "the worst health you can imagine" and 100 represents "the best health you can imagine." Assessments will be conducted 10 days before surgery and 10 days after surgery. The study will utilize the official Turkish translation provided by the EuroQol Research Foundation. | 10 days before surgery and 10 days after surgery. |
| Postoperative Physical Capacity (6-Minute Walk Test) | Postoperative physical capacity will be evaluated using the 6-Minute Walk Test (6MWT). This test measures the maximum distance (in meters) a patient can walk at a self-selected pace on a flat surface in 6 minutes. The mobilization levels and total walking time (in minutes) will also be recorded to compare the physical recovery and functional capacity between the intervention group (mobile app-based training) and the control group (standard training). | Day 3 post-operatively |
| Postoperative Pulmonary Complications | Evaluation of respiratory complications based on clinical signs and laboratory findings. A complication is defined as meeting two or more criteria, including respiratory distress, abnormal breath sounds, and abnormal white blood cell counts (leukopenia or leukocytosis) according to standard clinical reference ranges. | Day 3 post-operatively |
| State Anxiety Inventory (STAI-I) | The State Anxiety Inventory (STAI-I) is a 20-item self-report scale that measures current anxiety. Scores range from 20 to 80, with higher scores indicating higher anxiety levels. It uses a 4-point Likert-type scale for each item. |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Home | Izmir | Selcuk | 35925 | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39496000 | Background | Wang B, Qi F, Wang Y, Zhang J, Li W, Li X. Effectiveness of refined nursing intervention on postoperative recovery and respiratory function in lung cancer patients after thoracic surgery. Medicine (Baltimore). 2024 Nov 1;103(44):e40209. doi: 10.1097/MD.0000000000040209. | |
| Background | Ben-Ali, W., & Lamarche, Y. (2021). Aortic Insufficiency in Patients With Left Ventricular Assist Device. Canadian Journal of Cardiology, 37(8), 1253-1262. | ||
| Background | Dawson, R. M., & Felder, T. M. (2020). Exploring the recruitment of African American women in biobehavioral breast cancer research. Journal of Nursing Scholarship, 52(4), 345-354. | ||
| Background | Machado, R. C. G., et al. (2020). Factors associated with patient safety climate in a specialized cardiovascular hospital. Revista Latino-Americana de Enfermagem, 28, e3323. |
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De-identified individual participant data (IPD) including demographic characteristics, outcome measures, and questionnaire responses collected during the study will be shared. All data will be anonymized and will not contain any personally identifiable information.
IPD will be available upon reasonable request to the corresponding investigator following publication of the study results. Data will be shared for scientific research purposes only, after approval of a proposal and with a signed data use agreement.
De-identified individual participant data (IPD) and supporting documents will be available to researchers for scientific research purposes. Access will be granted upon reasonable written request to the corresponding investigator, subject to approval of a research proposal and signing of a data use agreement. Shared materials will be limited to anonymized datasets and relevant study documents (e.g., study protocol, statistical analysis plan). Data will be provided through a secure electronic system.
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| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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This research was conducted as an experimental randomized controlled trial.For randomization, a list was created of patients who came to the thoracic surgery outpatient clinic, were scheduled for surgery, and agreed to undergo surgery. The purpose of the study was explained to the patients, and those who agreed were assigned to experimental and control groups using a simple randomization method via a computer program (https://www.randomizer.org/). Before group assignments, patients were numbered according to their surgery schedule and assigned to either the intervention group (n=64) or the control group (n=64) according to the numbers on the randomization list. The experimental group received preoperative education via a mobile application/web-based system. The control group received standard care.
Blinded data analysis was performed in the study. The researcher coded the data and entered it into SPSS. Data analysis was performed by another researcher. This ensured blinding in the dat
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The research was conducted using blinded data analysis. One researcher coded and entered the data into SPSS. Data analysis was performed by another researcher. In this way, blinding was ensured in the data analysis.
| 10 days before surgery and Day 3 post-operatively |
| Length of Hospital Stay | The length of hospital stay (measured in days) will be recorded and compared between the intervention and control groups. The duration will be calculated from the day of surgery until the day of discharge. Data will be obtained from the patients' medical records after discharge to evaluate whether mobile application-based training has an impact on the timing of clinical recovery and hospital resource utilization. | From the date of surgery until the date of hospital discharge |
| Background | Venkatraman, V., & Lad, S. P. (2023). Digital Health and Neurosurgery. Neurosurgery Clinics of North America, 34(4), 519-528. |
| 39164444 | Background | Aydin A, Gursoy A. Nurse-led support impact via a mobile app for breast cancer patients after surgery: a quasi-experimental study (step 2). Support Care Cancer. 2024 Aug 20;32(9):598. doi: 10.1007/s00520-024-08819-2. |
| 31973960 | Background | Li C, Shao H, Huang S, Zhang T, Su X, Zhu S. Effects of an Individualized Fasting Program on Fasting Time and Comfort in Infants and Young Children During the Perioperative Period. J Perianesth Nurs. 2020 Jun;35(3):326-330. doi: 10.1016/j.jopan.2019.08.014. Epub 2020 Jan 20. |
| D008171 |
| Lung Diseases |
| D012140 | Respiratory Tract Diseases |