A Retrospective Analysis of Internet-Based Sharing Nursing Service Appointment Data

AIMS: To investigate the historical data of the “Internet+ Nursing” service platform and provide a theoretical basis to optimize the “Internet+ Nursing” service model by analyzing a population in need of nursing care services, service prices, services in demand, willingness to place orders, and feedback on use. METHODS: A retrospective analysis of data related to home care services on the “Jiuzhou Nursing Care” platform from April 2020 to August 2021, a total of 279 person-times, relevant information about the research subjects, and the status of home care services was conducted. SPSS 24.0 software was used for data analyses, such as calculating frequencies and percentages and conducting chi-square tests. RESULTS: The “Jiuzhou Online Nurse” primarily serves elderly patients, and the majority of these patients have lost their ability to care for themselves. The average cost of nursing services was ¥183.45, and the unit cost of services had no effect on the number of service items. This particular internet-based home nursing service has a high level of satisfaction. Patients aged 60 to 74 have the highest number of Internet-based home care service orders (χ(2) = 11.791, P < 0.05). Patients who reuse the platform are more willing to assign people to provide services (χ(2) = 238.078, P < 0.05). Patients who were unable to care for themselves had a higher rate of repeat order (χ(2) = 10.877, P < 0.05). CONCLUSION: The “Internet+ Nursing” service platform specifically meets the individual needs of elderly patients, provides them with home nursing services, and improves local medical treatment and door-to-door services. This platform also provides convenience for elderly individuals who cannot care for themselves so that they can receive prompt treatment and assistance to improve their quality of life.