Developing a novel evaluation model to assess the performance of base hospitals in China National Stroke Screening Surveys

Weighting methodologies significantly influence BHS performance evaluations. Subjective approaches emphasize expert expertise, whereas objective methods prioritize data variability. Compared to single weighting method, combined weighting effectively balances discrepancies between expert subjective priorities and data-driven objectivity, thereby addressing limitations of single-method designs. For the CNSSS program, our model underscores the need to shift quality focus from high-risk screening to targeted management, including timely post-screening interventions and effective risk factor control. These targeted interventions are expected to significantly reduce stroke incidence, recurrence, and mortality among screened populations, while enhancing the overall quality of the CNSSS program in the region.