Acute Appendicitis, Hand-foot-and-mouth Disease, Pneumococcal Pneumonia, Respiratory Failure (Pediatric Patients), Rotavirus Enteritis With Hypovolemic Shock
Conditions
Brief summary
Background: China's healthcare system for children faces significant challenges, particularly due to the limited pediatric service capacity of primary healthcare institutions. A shortage of effective and accessible training tools for primary care doctors further hinders progress in addressing this gap. Technological advancements, especially in artificial intelligence, offer a potential solution to improve pediatric care. Artificial intelligence-driven virtual standardized patients (VSPs), leveraging internet and virtual simulation technologies, simulate clinical cases with specific disease characteristics, providing an innovative, efficient, and flexible training method. VSPs are increasingly utilized in medical education, clinical reasoning, and licensure exams. This study focuses on using VSPs to improve the management of common pediatric conditions, which are major health concerns for children and impose significant psychological and financial burdens on families. Methods: This study will involve a three-arm randomized controlled trial to evaluate the effectiveness of a virtual pediatric standardized patient platform in enhancing primary care doctors' management of common pediatric diseases. At least 459 participants, including general practitioners, internal medicine practitioners, surgeons, and pediatricians from more than 10 provinces across China, will be randomly assigned to one of three groups: the virtual patient platform group, the case teaching manual group, or the case teaching video group. Five virtual patient cases covering pneumococcal pneumonia, rotavirus enteritis with hypovolemic shock, hand-foot-and-mouth disease, acute appendicitis, and respiratory failure will be developed, along with corresponding case teaching materials. After a two-week learning period, participants' disease management abilities will be assessed using clinical vignettes. The primary outcome is adherence to best clinical practice guidelines, categorized into full adherence, partial adherence, and nonadherence. Discussion: This study aims to leverage artificial intelligence for capacity enhancement, targeting the shortcomings of primary care pediatrics and using VSP to help enhance primary care pediatrics capacity. It is a randomized controlled trial involving over 300 primary healthcare institutions across more than 10 provinces in China, ensuring broad and representative participation from both developed and underdeveloped regions.
Interventions
BEHAVIORALVirtual standardized patients (VSPs)
Virtual standardized patients (VSPs), utilizing internet and virtual simulation technology, emulate patients with specific disease characteristics and clinical manifestations. With advantages in safety, flexibility, convenience, and efficiency, VSPs are used in medical education, clinical reasoning training, and licensure examinations. Doctors will interact with VSPs to conduct clinical simulations and training, including consultations, physical examinations, auxiliary examinations, and treatment decision-making, to enhance their capabilities for managing common pediatric diseases
BEHAVIORALCase teaching manuals
Doctors will use case teaching manuals to enhance their capabilities for managing common pediatric diseases
BEHAVIORALCase teaching videos
Doctors will use case teaching videos to enhance their capabilities for managing common pediatric diseases
Sponsors
Southern Medical University, China
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
1. Inclusion and
Exclusion criteria
for Research Institutions Inclusion Criteria: * Primary and secondary hospitals * Community health centers (stations) and clinics, as well as township health centers and village health clinics
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Doctor adherence to best clinical practice guidelines | Through study completion, an average of 6 months | Doctor adherence to best clinical practice guidelines, i.e., the extent to which doctors consistently make judgments and treatments based on best clinical practice guidelines and progression of the disease. Ordered categorical variable, consisting of three grades: full adherence, partial adherence, and nonadherence. It will be measured using clinical vignette method. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| The degree of accuracy of a doctor's diagnosis according to best clinical practice guidelines | Through study completion, an average of 6 months | The degree of accuracy of a doctor's diagnosis according to best clinical practice guidelines. Ordered categorical variable, consisting of three categories: fully correct, partially correct, incorrect. It will be measured using clinical vignette method. |
| Doctor score of examination that is directly related to handling the disease | Through study completion, an average of 6 months | Doctor score of examination that is directly related to handling the disease. It is a continuous variable. It will be measured using examination paper called Disease Handling Capacity Scale. The lowest score is 0, the highest score is 5, and higher scores mean a better outcome. |
| Doctor score of examination that is related to expansion skills of handling the disease | Through study completion, an average of 6 months | Doctor score of examination that is related to expansion skills of handling the disease. It is a continuous variable. It will be measured using examination paper called Expanded Disease Handling Capacity Scale. The lowest score is 0, the highest score is 5, and higher scores mean a better outcome. |
| Dichotomous variable of doctor adherence to best clinical practice guidelines | Through study completion, an average of 6 months | Dichotomous variable of doctor adherence to best clinical practice guidelines. Dichotomous variable, consisting of two categories: full adherence, partial adherence or no adherence. It will be measured using clinical vignette method. |
| Adoption of training by doctors | Through study completion, an average of 6 months | Implementation outcome: Adoption of training by doctors. Dichotomous variable, consisting of two categories: adopted, not adopted. It will be measured using team-developed questionnaire (self-reported by doctors). |
| Costs to researchers of developing and implementing three types of training | Through study completion, an average of 6 months | Implementation outcome: Costs to researchers of developing and implementing three types of training. It is a continuous variable. It will be measured using project final account of expenditure. |
| Doctor score of acceptability of three types of training | Through study completion, an average of 6 months | Implementation outcome: Doctor score of acceptability of three types of training. It is a continuous variable. It will be measured using generic Theoretical Framework of Acceptability (TFA)-based questionnaire self-reported by doctors. |
| The level at which the doctor focuses on meeting the actual needs of the patient and gives due consideration to the patient's feelings | Through study completion, an average of 6 months | The level at which the doctor focuses on meeting the actual needs of the patient and gives due consideration to the patient's feelings. It is a continuous variable. It will be measured using team-developed patient-centered situational question test paper method. |
Countries
China
Contacts
Primary ContactLuo
Outcome results
None listed