Volume 23 Issue 12
Dec.  2025
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JI Bin, LI Gang, GUO Renlin, LING Yun, SHI Hui, LI Wangying, ZHAO Chunyan. Construction of evaluation system for physician service capability portrait indicators[J]. Chinese Journal of General Practice, 2025, 23(12): 2148-2152. doi: 10.16766/j.cnki.issn.1674-4152.004312
Citation: JI Bin, LI Gang, GUO Renlin, LING Yun, SHI Hui, LI Wangying, ZHAO Chunyan. Construction of evaluation system for physician service capability portrait indicators[J]. Chinese Journal of General Practice, 2025, 23(12): 2148-2152. doi: 10.16766/j.cnki.issn.1674-4152.004312

Construction of evaluation system for physician service capability portrait indicators

doi: 10.16766/j.cnki.issn.1674-4152.004312
Funds:

 2025HP75

 NIHA24YYDQ44

  • Received Date: 2025-07-02
    Available Online: 2026-03-13
  •   Objective  To explore the construction of a physician service capability portrait indicator system, with the goal of scientifically evaluating the quality and ability level of physician services.  Methods  From March to June 2025, the research team established a preliminary framework through a systematic literature review, 17 experts were selected for two rounds of correspondence involving hospital administrators, clinicians, and clinical nursing. to Indicator weights were determined using the Analytic Hierarchy Process, and expert consensus were evaluated using Kendall' s coordination coefficient.  Results  The effective response rates for both rounds of questionnaires were 100%, with expert authority coefficients [Cr=0.5× (Ca+Cs)] of 0.87, familiarity coefficients of 0.85±0.12, and judgment coefficients of 0.89 and 0.89, respectively. The first round of expert coordination coefficients were 0.354 for the first level indicator, 0.199 for the second level indicator, and 0.271 for the third level indicator. The second round of expert coordination coefficients were 0.292 for the first level indicator, 0.211 for the second level indicator, and 0.266 for the third level indicator. The indicator system ultimately established 7 primary indicators, 26 secondary indicators, and 50 tertiary indicators. Among the first-level indicators, resource portrait, process portrait, and quality and safety portrait accounted for a large weight in the entire index system. Among the secondary indicators, the service ability, professional and technical ability, complaints, and disputes (the ability to prevent and respond to disputes) in the diagnosis and treatment link accounted for a large weight in the entire index system. In the third level indicators, the weight of outpatient volume, multimedia online exposure frequency, medical document writing qualification rate, and dispute occurrence rate were significantly higher than those of similar indicators (P < 0.05). The dimension of technical quality has the highest weight in the entire indicator system.  Conclusion  This study innovatively constructes a quantitative evaluation model for physician outpatient capabilities, which achieves accurate profiling of service capabilities through multidimensional feature engineering. It has good scientificity, reasonable system settings, and can evaluate physician service capabilities.

     

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