1
|
Minor KC, Bianco K, Mayo JA, Abir G, Judy AE, Lee HC, Leonard SA, Ayotte S, Hedli LC, Schaffer K, Sie L, Daniels K. Virtual simulation training for postpartum hemorrhage in low-to-moderate-volume hospitals in the US. AJOG GLOBAL REPORTS 2024; 4:100357. [PMID: 38975047 PMCID: PMC11227018 DOI: 10.1016/j.xagr.2024.100357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024] Open
Abstract
Background Maternal mortality in the United States is rising and many deaths are preventable. Emergencies, such as postpartum hemorrhage, occur less frequently in non-teaching, rural, and urban low-birth volume hospitals. There is an urgent need for accessible, evidence-based, and sustainable inter-professional education that creates the opportunity for clinical teams to practice their response to rare, but potentially devastating events. Objective To assess the feasibility of virtual simulation training for the management of postpartum hemorrhage in low-to-moderate-volume delivery hospitals. Study design The study occurred between December 2021 and March 2022 within 8 non-academic hospitals in the United States with low-to-moderate-delivery volumes, randomized to one of two models: direct simulation training and train-the-trainer. In the direct simulation training model, simulation faculty conducted a virtual simulation training program with participants. In the train-the-trainer model, simulation faculty conducted virtual lessons with new simulation instructors on how to prepare and conduct a simulation course. Following this training, the instructors led their own simulation training program at their respective hospitals. The direct simulation training participants and students trained by new instructors from the train-the-trainer program were evaluated with a multiple-choice questionnaire on postpartum hemorrhage knowledge and a confidence and attitude survey at 3 timepoints: prior to, immediately after, and at 3 months post-training. Paired t-tests were performed to assess for changes in knowledge and confidence within teaching models across time points. ANOVA was performed to test cross-sectionally for differences in knowledge and confidence between teaching models at each time point. Results Direct simulation training participants (n=22) and students of the train-the-trainer instructors (n=18) included nurses, certified nurse midwives and attending physicians in obstetrics, family practice or anesthesiology. Mean pre-course knowledge and confidence scores were not statistically different between direct simulation participants and the students of the instructors from the train-the-trainer course (79%+/-13 versus 75%+/-14, respectively, P-value=.45). Within the direct simulation group, knowledge and confidence scores significantly improved from pre- to immediately post-training (knowledge score mean difference 9.81 [95% CI 3.23-16.40], P-value<.01; confidence score mean difference 13.64 [95% CI 6.79-20.48], P-value<.01), which were maintained 3-months post-training. Within the train-the-trainer group, knowledge and confidence scores immediate post-intervention were not significantly different compared with pre-course or 3-month post-course scores. Mean knowledge scores were significantly greater for the direct simulation group compared to the train-the-trainer group immediately post-training (89%+/-7 versus 74%+/-8, P-value<.01) and at 3-months (88%+/-7 versus 76%+/-12, P-value<.01). Comparisons between groups showed no difference in confidence and attitude scores at these timepoints. Both direct simulation participants and train-the-trainer instructors preferred virtual education, or a hybrid structure, over in-person education. Conclusion Virtual education for obstetric simulation training is feasible, acceptable, and effective. Utilizing a direct simulation model for postpartum hemorrhage management resulted in enhanced knowledge acquisition and retention compared to a train-the-trainer model.
Collapse
Affiliation(s)
- Kathleen C. Minor
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine & Obstetrics, Stanford University School of Medicine, Stanford, CA (Dr Minor, Dr Bianco, Mr Mayo, Dr Judy, and Dr Leonard)
| | - Katherine Bianco
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine & Obstetrics, Stanford University School of Medicine, Stanford, CA (Dr Minor, Dr Bianco, Mr Mayo, Dr Judy, and Dr Leonard)
| | - Jonathan A. Mayo
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine & Obstetrics, Stanford University School of Medicine, Stanford, CA (Dr Minor, Dr Bianco, Mr Mayo, Dr Judy, and Dr Leonard)
| | - Gillian Abir
- Department of Anesthesiology, Perioperative and Pain Medicine, Division of Obstetric Anesthesiology, Stanford University School of Medicine, Stanford, CA (Dr Abir)
| | - Amy E. Judy
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine & Obstetrics, Stanford University School of Medicine, Stanford, CA (Dr Minor, Dr Bianco, Mr Mayo, Dr Judy, and Dr Leonard)
| | - Henry C. Lee
- Department of Pediatrics, Division of Neonatology, University of California San Diego, La Jolla, CA (Dr Lee and Ms Schaffer)
| | - Stephanie A. Leonard
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine & Obstetrics, Stanford University School of Medicine, Stanford, CA (Dr Minor, Dr Bianco, Mr Mayo, Dr Judy, and Dr Leonard)
| | - Stephany Ayotte
- Johnson Center for Pregnancy and Newborn Services, Lucile Packard Children's Hospital, Stanford, CA (Ms Ayotte)
| | - Laura C. Hedli
- Department of Pediatrics, Division of Neonatology, Stanford University School of Medicine, Stanford, CA (Ms Hedli and Ms Sie)
| | - Kristen Schaffer
- Department of Pediatrics, Division of Neonatology, University of California San Diego, La Jolla, CA (Dr Lee and Ms Schaffer)
| | - Lillian Sie
- Department of Pediatrics, Division of Neonatology, Stanford University School of Medicine, Stanford, CA (Ms Hedli and Ms Sie)
| | - Kay Daniels
- Department of Obstetrics and Gynecology, Stanford School of Medicine, Stanford, CA (Dr Daniels)
| |
Collapse
|
2
|
Alemu FM, Yimer NB, Kasegn BB, Kassie BA, Ibrahim IY, Abdo AA, Worke MD. Effectiveness of simulation-based cesarean section education on improving non-physician clinician midwife's competency in performing cesarean section in Ethiopia: a quasi-experimental study. BMC MEDICAL EDUCATION 2023; 23:961. [PMID: 38098058 PMCID: PMC10722683 DOI: 10.1186/s12909-023-04968-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/12/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Simulation-based education enhances fundamental and clinical knowledge, procedural abilities, teamwork, and communication skills, as well as quality of care and patient safety. Due to excessive clinical loads and a lack of physicians, even classic teaching methods like bedside instruction are constrained in low-income settings. Thus, this study aimed to ascertain if simulation-based cesarean section education successfully raises non-physician clinician midwives' competency in Ethiopia. METHODS A quasi-experimental study design triangulated with a qualitative design was implemented. Sixty Masters Clinical Midwifery students (29 intervention and 31 control) were taken in 5 universities. Three questionnaires (knowledge, confidence levels, and skills) were used. Qualitative data was also collected from 14 participants. The data were analyzed using SPSS version 25. Descriptive and inferential analyses were conducted. P < 0.05 was used for statistical significance. A difference-in-difference with a 95% confidence level was employed to control the potential confounders for knowledge and self-confidence. Multiple linear regression was fitted to identify the independent effect of simulation-based education interventions while controlling for other variables. Thematic analysis was performed using MAXQDA 2020. RESULT The age of the respondents varies from 24 to 34 years, with the control group's mean age being 28.8 (± 2.3) years and the intervention group's mean age being 27.2 (± 2.01) years. The intervention and control groups' pre-intervention and post-intervention knowledge scores showed a statistically significant difference. There was a substantial increase in self-confidence mean scores in both the intervention and control groups and between the pre-intervention and post-intervention periods in both the intervention and control groups. Furthermore, there was a substantial improvement in cesarean section skills in the intervention group as compared to the control group (59.6 (3.3) vs. 51.5 (4.8). The qualitative findings supported these. CONCLUSIONS The study showed that simulation-based education improved students' procedural knowledge, self-confidence, and skills. As a result, professional care teams can create simulation-based teaching packages to help students prepare for their residency.
Collapse
Affiliation(s)
| | - Nigus Bililgn Yimer
- Department of Midwifery, College of Health Sciences, Woldia University, Weldiya, Ethiopia
| | | | - Belayneh Ayanaw Kassie
- Department of Midwifery, College of Health Sciences, University of Gondar, Gondar, Ethiopia
| | | | - Abdella Amano Abdo
- Department of Public Health, School of Public Health, Hawassa University, Hawassa, Ethiopia
| | - Mulugeta Dile Worke
- Department of Midwifery, College of Health Sciences, Debre Tabor University, Debra Tabor, Ethiopia.
| |
Collapse
|