[Objective] To analyze the distribution of Rh blood group phenotype in some ethnic groups in China, so as to provide references for accurate blood transfusion. [Methods] The data of CNKI, Wanfang data and VIP were retrieved using "Rh blood group" and "nationality", and the search of PubMed database was conducted with the keywords "Rh blood group", "nationalities", "ethnic groups" and "China", with retrieval time until September 19, 2024 Data were extracted from eligible studies and the literature quality was evaluated using the criteria for cross-sectional studies in STROBE statement. Meta analysis was performed using Stata 11.0 software. [Results] A total of 350 relevant literature were retrieved, of which 26 were included. The total sample size for Rh phenotype distribution detection were 31 432, and the total population for RhD negative screening was 47 227, covering 26 ethnic groups. Meta-analysis revealed that the Rh blood groups phenotype distribution in certain ethnic populations in China was mainly CCDee 46.7% (95%CI=46.2%-47.2%), CcDEe 30.1% (95%CI=29.5%-30.6%), and CcDee 9.0% (95%CI=8.7%-9.3%). Analysis of the RhD-negative phenotype indicated an negative rate of RhD of 0.3% (95%CI=0.2%-0.3%), with the main phenotype distributions of ccdee at 0.2% (95%CI=0.1%-0.2%) and ccdEe at 0.2% (95%CI=0.0%-0.4%). The meta-analysis results of the distribution of common phenotypes among different ethnic groups showed that the CCDee phenotype was mainly distributed as Hani>Dong>Buyi>Miao>Tujia>Hui>Zang>Kazakh>Mongol>Uygur; the CcDEe phenotype: Zang>Mongol>Hui; the CcDee phenotype: Uygur>Kazakh>Mongol>Zang>Hui>Dong>Miao>Tujia>Buyi; the ccDEE phenotype: Zang>Hui=Mongol. The results of this study are similar to those of Qingdao population in China, but differ from studies conducted in North India, German individuals of European ancestry and Saudi Arabian populations. [Conclusion] The distribution of Rh blood group phenotypes in some ethnic groups in China shows no significant difference compared to the Han population, but there are differences when compared to populations in other countries and regions.

To construct a competency model for junior caregivers for the elderly and to provide a reference for the selection, evaluation and training for the junior caregivers for the elderly.
 Methods: Firstly, we drafted the primary competency model for junior caregivers for the elderly through literature review. Then, we used Delphi method to carry out 2 rounds of questionnaire survey for 20 experts to optimize the indicators for primary model. The weight of each indicator is determined by analytic hierarchy process (AHP) and expert sequencing method.
 Results: The effective recovery rates of the two-round questionnaire were 87% and 100%, respectively. The expert authority coefficient was 0.70-0.93, and the average authority coefficient was 0.80. The final version of the competency model for junior caregivers for the elderly included 4 first-grade indexes, 11 second-grade indexes and 37 third-grade indexes.
 Conclusion: The competency model for the junior caregivers for the elderly is reliable and can be used as the reference standard for the selection, evaluation and training for the junior caregivers for the elderly.
Aged ; Caregivers ; standards ; Clinical Competence ; Delphi Technique ; Health Services for the Aged ; standards ; Humans ; Medical Staff, Hospital ; standards ; Reference Standards ; Surveys and Questionnaires