Operational Mechanism of a Medical Public Welfare Caregiver Platform under the OMO Model

DOI: https://doi.org/10.62517/jmsd.202612216

Author(s)

Feng Jiang, Yang Mu, Ruohan Huang, Xiang Huang, Meijia Li

Affiliation(s)

Tianjin Tianshi College, Tianjin, China

Abstract

Against the backdrop of deepening population aging in China and the continuous expansion of the disabled and semi-disabled elderly population, the demand for professional medical nursing and rehabilitation care services is becoming increasingly urgent. However, traditional medical public welfare models generally suffer from problems such as insufficient professional competence of caregivers, low efficiency in supply–demand matching, and lack of effective volunteer incentives. Based on the practice of the “Shared Care Network” project, this study adopts a mixed-method approach combining questionnaire survey (N = 241) and field interviews to analyze market demand and key pain points in medical public welfare caregiving services. On this basis, an Online-Merge-Offline (OMO) operational solution is proposed. The findings show that 79.3% of respondents believe that caregiver skill levels are uneven, 92% are willing to book services through online platforms, and 70.1% of young people aged 18–30 recognize the public welfare caregiver model. The OMO model forms a closed-loop system through online intelligent matching, offline service delivery, training and certification, and supervision with feedback, which effectively alleviates information asymmetry between supply and demand. In addition, the “service-for-service” incentive mechanism proves feasible in the context of medical public welfare caregiving, though its effectiveness depends on diversified redemption channels and multi-party resource coordination. This study provides a replicable operational framework for the digitalization and professionalization of medical public welfare services.

Keywords

Medical Public Welfare; Caregivers; OMO Model; Operational Mechanism; Volunteer Service

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