Study on the application of indicator system for evaluating the informatization level of grassroots healthcare

WU Hui; WENG Huifen; LIU Bao; ZHAO Yanping

doi:10.16766/j.cnki.issn.1674-4152.003143

Volume 21 Issue 9

Sep. 2023

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Article Navigation > Chinese Journal of General Practice > 2023 > 21(9): 1449-1452

WU Hui, WENG Huifen, LIU Bao, ZHAO Yanping. Study on the application of indicator system for evaluating the informatization level of grassroots healthcare[J]. Chinese Journal of General Practice, 2023, 21(9): 1449-1452. doi: 10.16766/j.cnki.issn.1674-4152.003143

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WU Hui, WENG Huifen, LIU Bao, ZHAO Yanping. Study on the application of indicator system for evaluating the informatization level of grassroots healthcare[J]. Chinese Journal of General Practice, 2023, 21(9): 1449-1452. doi: 10.16766/j.cnki.issn.1674-4152.003143

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Study on the application of indicator system for evaluating the informatization level of grassroots healthcare

doi: 10.16766/j.cnki.issn.1674-4152.003143

WU Hui¹
, WENG Huifen²
, LIU Bao³
, ZHAO Yanping^{1
,
,}

1.
Department of General Practice Minhang Hospital Affiliated to Fudan University, Shanghai 201199, China

Funds:

201940002

Received Date: 2023-03-02
Available Online: 2023-10-19

Abstract

Abstract

Objective To study the application of an indicator system for evaluating the informatization level of grassroots healthcare of the M District of Shanghai and verify the feasibility and robustness of the indicator system. Methods As the early stage, an indicator system had been constructed for evaluating the informatization level of grassroots healthcare through the literature research and expert consultation. According to the different digitalization levels, three community healthcare centers (C1, C2 and C3) with different informatization levels in the M district of Shanghai were selected, and the data related to the indicator system were collected. Comprehensive evaluation model, weighted TOPSIS, and weighted rank-sum ratio (RSR) were used to analyze the data. The higher comprehensive score showed the better development of health digitalization level. As the weighted TOPSIS method, according to the degree to which the evaluation object and the idealized targets were close to each other, if a feasible solution was the closest to the ideal solution, it means that the evaluation object was closer to the optimal level. While the weighted RSR method was a non-parametric evaluation method which considered the relative magnitude of the indicators to be evaluated, and the larger the magnitude was, the better the evaluation object was. Results There were certain differences in the informatization level of the 3 community healthcare centers (C1, C2 and C3) in M District of Shanghai, with comprehensive scores of 81.997, 73.080 and 82.142, respectively. The weighted TOPSIS method ranked C3, C1, and C2 from good to bad. The weighted RSR method results showed that C3 was at the top class, while C1 and C2 were both at the middle class. The evaluation results of the three methods were positively correlated (P < 0.05), implying good consistency. Conclusion The empirical results suggested the feasibility and robustness of the indicator system constructed for evaluating the informatization level of grassroots healthcare.
- Informatization of grassroots healthcare,
- Indicator system,
- Comprehensive evaluation model,
- TOPSIS,
- Rank-sum ratio

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References

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Study on the application of indicator system for evaluating the informatization level of grassroots healthcare

doi: 10.16766/j.cnki.issn.1674-4152.003143