Background: The unannounced standardized patient (USP) is the gold standard for primary health care (PHC) quality assessment but has many restrictions associated with high human and resource costs. Virtual patient (VP) is a valid, low-cost software option for simulating clinical scenarios and is widely used in medical education. It is unclear whether VP can be used to assess the quality of PHC.

Objective: This study aimed to examine the agreement between VP and USP assessments of PHC quality and to identify factors influencing the VP-USP agreement.

Methods: Eleven matched VP and USP case designs were developed based on clinical guidelines and were implemented in a convenience sample of urban PHC facilities in the capital cities of the 7 study provinces. A total of 720 USP visits were conducted, during which on-duty PHC providers who met the inclusion criteria were randomly selected by the USPs. The same providers underwent a VP assessment using the same case condition at least a week later. The VP-USP agreement was measured by the concordance correlation coefficient (CCC) for continuity scores and the weighted κ for diagnoses. Multiple linear regression was used to identify factors influencing the VP-USP agreement.

Results: Only 146 VP scores were matched with the corresponding USP scores. The CCC for medical history was 0.37 (95% CI 0.24-0.49); for physical examination, 0.27 (95% CI 0.12-0.42); for laboratory and imaging tests, -0.03 (95% CI -0.20 to 0.14); and for treatment, 0.22 (95% CI 0.07-0.37). The weighted κ for diagnosis was 0.32 (95% CI 0.13-0.52). The multiple linear regression model indicated that the VP tests were significantly influenced by the different case conditions and the city where the test took place.

Conclusions: There was low agreement between VPs and USPs in PHC quality assessment. This may reflect the "know-do" gap. VP test results were also influenced by different case conditions, interactive design, and usability. Modifications to VPs and the reasons for the low VP-USP agreement require further study.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758641PMC
http://dx.doi.org/10.2196/40082DOI Listing

Publication Analysis

Top Keywords

phc quality
12
virtual patient
8
unannounced standardized
8
standardized patient
8
primary health
8
health care
8
study provinces
8
quality assessment
8
identify factors
8
factors influencing
8

Similar Publications

Purpose: The study aims to address the gap between leaders' preventative self-regulatory focus and its impact on Chinese primary care physicians (PCPs) well-being, measured by work-family spillover stress and work exhaustion and on healthcare quality, measured by preventive service delivery and clinical guideline adherence.

Design/methodology/approach: This paper conducted a cross-sectional in-person survey with 38 leaders and 224 PCPs in 38 primary health centers (PHCs) in Jinan, Tianjin, Shenzhen and Shanghai. Guided by the regulatory focus theory, this paper built hierarchical linear regression models to examine the association between the leadership's regulatory focus and physician burnout, work-family conflict, clinic guideline adherence and preventive service delivery.

View Article and Find Full Text PDF

Background: Individuals with Down Syndrome (DS) almost invariably develop Alzheimer's Disease (AD), but detecting early clinical changes is challenging due to comorbid intellectual disability, highlighting the importance of non‐invasive biomarkers. Neuroimaging of the medial temporal lobe (MTL), a key site of tau pathology, shows promise as an early AD biomarker. Here, we aimed to characterise volumetric patterns of the MTL in DS across the AD clinical continuum, and define associations with AD cerebrospinal fluid (CSF) biomarkers.

View Article and Find Full Text PDF

Background: Medial temporal lobe (MTL) atrophy is an early feature of multiple neurodegenerative diseases. In genetic frontotemporal lobar degeneration (FTLD, i.e.

View Article and Find Full Text PDF

Background: Recent developments in blood biomarkers (BBM) have shown promising results in diagnosing amyloid pathology in Alzheimer’s Disease (AD). However, information on how these BBMs can best be used in clinical settings to optimise clinical decision‐making and long‐term health outcomes for individuals with AD is still lacking. We aim to assess the potential clinical and economic value of BBM in AD diagnosis within the context of disease‐modifying treatment (DMT).

View Article and Find Full Text PDF

Background: Dementia is a global health challenge, especially in low‐ and middle‐income countries like Peru, where diagnosis, access, and awareness are limited. Within the IMPACT Dementia project, a component focuses on developing, testing, and implementing an mHealth‐enabled system for dementia screening and diagnosis, and assessing its cost‐effectiveness.

Methods: : The features of the screening tool will be locally adapted using a co‐design approach including community members and community health workers (CHW) in four regions in Peru (Lima, Tumbes, Iquitos, and Huancayo) to enhance adaptability and efficacy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!