Enhancing Preoperative Patient Understanding and Nurse-Led Communication Using3D-Printed Surgical Models: A Multimodal Study in the Surgical Departments of SaiduTeaching Hospital, Swat.

Authors

  • Salma Khatir MSN Scholar - RNO/ Tutor Nurse College of Nursing Sandman Provincial Hospital Quetta Baluchistan. Author
  • Dr. Sabiha 2 PhD, MPH - RGN - Magdalene Nursing Care Home UK. Author
  • Anwar Ali MSN, Principal/ Assistant Professor, T & H Academy of Nursing & AHS, Swat Author
  • Dr. Muhammad Anwar PhD, MSN, Principal/ Assistant Professor, Medtec College of Nursing, KPK. Author
  • Dr. Shah Hussain PhD, MSN, Principal/ Assistant Professor, Zalan College of Nursing, KPK. Author

DOI:

https://doi.org/10.63163/jpehss.v3i2.315

Keywords:

3D-printed models, preoperative education, nurse-led communication, surgical nursing, patient understanding

Abstract

 

Background: Patient education before surgery proves vital because it helps patients grasp their

condition better and lowers their anxiety and delivers better satisfaction results. Patients find

insufficient understanding when they rely on traditional methods which include verbal

explanations together with simple 2D images. Staff nurses work with 3D-printed surgical

models to teach preoperative patients better in low-resource healthcare facilities.

Aim: This research evaluates how 3d-printed anatomical models assist nurses in delivering

preoperative education to evaluate patient comprehension, minimize anxiety, and boost patient

satisfaction in surgical departments.

Methods: Sixty elective surgical patients underwent research at Saidu Teaching Hospital,

Swat, Pakistan, with thirty patients in the intervention group and thirty patients in the control

group. Preoperative patient counseling included patient-specific 3D-printed model

demonstrations for the intervention group but the control patients received standard education

methods. The research relied on comprehension questionnaires together with APAIS (anxiety

scale) measurements and a satisfaction rating assessment tool for data collection. Semistructured interviews were conducted with both 10 patients and 10 nurses, producing

qualitative data.

Results: The participants who received patient-specific 3D-printed models experienced better

understanding results (mean +8.3, p < 0.001) as well as reduced anxiety scores (mean -7.7, p <

0.001) compared to standard education model patients. Patients in the intervention group

demonstrated superior levels of satisfaction, since 73% of them expressed very high

satisfaction. The analysis yielded four main themes, which included patients getting better

comprehension alongside better emotional reassurance and improved communication methods.

The nurses articulated their training needs as another significant theme.

Conclusion: Through the use of 3d-printed surgical models, nurses achieve better patient

understanding while simultaneously reducing patient anxiety and improving their educational

satisfaction. Resource-limited healthcare facilities can implement 3D-printed surgical models

that create positive impacts through their deploy ability.

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Published

2025-06-30