Back to the future: surgical rehearsal platform technology as a means to improve surgeon-patient alliance, patient satisfaction, and resident experience.

PDRQ = Patient-Doctor Relationship Questionnaire PGY = postgraduate year SRP = surgical rehearsal platform SSES = Satisfaction with Simulation Experience Scale VR-IC = virtual reality–facilitated informed consent informed consent physician-patient alliance virtual reality platforms

Journal

Journal of neurosurgery
ISSN: 1933-0693
Titre abrégé: J Neurosurg
Pays: United States
ID NLM: 0253357

Informations de publication

Date de publication:
23 Oct 2020
Historique:
received: 22 05 2020
accepted: 18 06 2020
entrez: 23 10 2020
pubmed: 24 10 2020
medline: 24 10 2020
Statut: aheadofprint

Résumé

Informed consent, when performed appropriately, serves many roles beyond simply obtaining the prerequisite medicolegal paperwork to perform a surgery. Prior studies have suggested that patient understanding is poor when verbal communication is the sole means of education. Virtual reality platforms have proven effective in enhancing medical education. No studies exist that have demonstrated the utility of virtual reality-facilitated informed consent (VR-IC) in improving the physician-patient alliance. The aim of this study was to determine the utility of VR-IC among patients providing consent for surgery and the impact of this educational and information technology-based strategy on enhancing the physician-patient alliance, patient satisfaction, and resident-physician perception of the consent process. Prospective, single-site, pre- and postconsent surveys were administered to assess patient and resident perception of informed consent performed with the aid of VR-IC at a large tertiary academic medical center in the US. Participants were adult patients (n = 50) undergoing elective surgery for tumor resection and neurosurgical residents (n = 19) who obtained patient informed consent for these surgical procedures. Outcome measures included scores on the Patient-Doctor Relationship Questionnaire (PDRQ-9), the modified Satisfaction with Simulation Experience Scale, and the Maslach Burnout Inventory. Patient pre- and postconsent data were recorded in real time using a secure online research data platform (REDCap). A total of 48 patients and 2 family members provided consent using VR-IC and completed the surveys pre- and postconsent; 47.9% of patients were women. The mean patient age was 57.5 years. There was a statistically significant improvement from pre- to post-VR-IC consent in patient satisfaction scores. Measures of patient-physician alliance, trust, and understanding of their illness all increased. Among the 19 trainees, perceived comfort and preparedness with the informed consent process significantly improved. VR-IC led to improved patient satisfaction, patient-physician alliance, and patient understanding of their illness as measured by the PDRQ-9. Using VR-IC contributed to residents' increased comfort in the consent-gathering process and handling patient questions. In an era in which satisfaction scores are directly linked with hospital and service-line outcomes and reimbursement, positive results from VR-IC may augment physician and hospital satisfaction scores in addition to increasing measures of trust between physicians and patients.

Identifiants

pubmed: 33096533
doi: 10.3171/2020.6.JNS201865
pii: 2020.6.JNS201865
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Auteurs

James M Wright (JM)

1Department of Neurological Surgery and.

Alankrita Raghavan (A)

2Case Western Reserve University School of Medicine, Cleveland, Ohio.

Christina H Wright (CH)

1Department of Neurological Surgery and.

Berje Shammassian (B)

1Department of Neurological Surgery and.

Yifei Duan (Y)

1Department of Neurological Surgery and.

Martha Sajatovic (M)

3Neurological and Behavioral Outcomes Center, Department of Psychiatry, University Hospitals Cleveland Medical Center; and.

Warren R Selman (WR)

1Department of Neurological Surgery and.

Classifications MeSH