【摘要】目的：探讨HEART五步沟通模式对突发性耳聋（SSHL）患者心理状态及恢复情况的影响。方法：将2024年3月~2025年9月就诊于本院的110例SSHL患者作为研究对象，经抛币法将入组患者随机列为常规组、试验组，55例为一组。常规组实施常规临床护理，试验组在常规组的护理基础上联合实施HEART五步沟通模式，比较两组患者的心理状态，治疗依从性，护理结束后开展为期3个月短期随访，比较两组患者的听力改善情况及生活质量。结果：护理后，试验组的医院焦虑抑郁量表（HADS）、疾病不确定感（MUIS）评分分别为（8.25±1.39）分、（20.34±5.49）分，均低于常规组[（10.28±2.46）分、（25.52±6.67）分]（t=5.328，4.447；P＜0.05）。护理后，试验组的用药依从性、康复依从性、随访依从性均高于常规组（x2=9.429，11.733，11.282；P＜0.05）。试验组随访1个月、随访3个月时气导1kHz下平均听阈（PTA）及2kHz下PTA分别为（25.62±5.41）dB HL、（18.35±3.69）dB HL、（28.52±5.44）dB HL、（20.18±5.24）dB HL，均低于常规组[（30.67±6.35）dB HL、（21.33±4.25）dB HL、（33.69±6.37）dB HL、（25.49±6.33）dB HL]（t=4.490，3.927，4.577，4.792；P＜0.05）。截至随访结束时，试验组的成人听力障碍量表（HHIA）中社交维度、情绪维度、躯体维度评分均低于常规组（t=3.787，5.562，12.132；P＜0.05）。结论：HEART五步沟通模式可改善SSHL患者的不良心理状态并提升治疗依从性，对促进患者听力水平恢复及生活质量提升均有积极影响

[Abstract]Objective:To explore the impact of the HEART five step communication model on the psychological state and recovery of patients with sudden sensorineural hearing loss (SSHL).Methods:110 patients with SSHL who visited our hospital from March 2024 to September 2025 were selected as the research subjects. The enrolled patients were randomly divided into a control group and an experimental group using a coin toss method, with 55 patients in each group. The routine group received routine clinical nursing care, while the experimental group received the HEART five step communication model in addition to the routine nursing care. The psychological status and treatment compliance of the two groups of patients were compared. After the nursing was completed, a 3-month short-term follow-up was conducted to compare the hearing improvement and quality of life of the two groups of patients.Results:After nursing, the HADS and MUIS scores of the experimental group were (8.25 ± 1.39) points and (20.34 ± 5.49) points, respectively, which were lower than those of the control group [(10.28 ± 2.46) points and (25.52 ± 6.67) points] (t=5.328，4.447; P<0.05). After nursing, the medication compliance, rehabilitation compliance, and follow-up compliance of the experimental group were higher than those of the conventional group (x2=9.429，11.733，11.282; P<0.05). The PTA of the experimental group at 1kHz and 2kHz were (25.62 ± 5.41) dB HL, (18.35 ± 3.69) dB HL, (28.52 ± 5.44) dB HL, and (20.18 ± 5.24) dB HL, respectively, during a 1-month and 3-month follow-up, which were lower than those of the control group [(30.67 ± 6.35) dB HL, (21.33 ± 4.25) dB HL, (33.69 ± 6.37) dB HL, and (25.49 ± 6.33) dB HL] (t=4.490，3.927，4.577，4.792; P<0.05). As of the end of the follow-up, the scores of social, emotional, and physical dimensions in the HHIA of the experimental group were lower than those of the control group (t=3.787，5.562，12.132; P<0.05).Conclusion:The HEART five step communication model can improve the adverse psychological state of SSHL patients and enhance treatment compliance, which has a positive impact on promoting the recovery of patients' hearing level and improving their quality of life.

       目的   探讨女性医务人员月经改变的影响因素及与心理状态的相关性。方法   对深圳市3家医院女性医护人员进行随机抽样得到869份问卷调查样本，均为知情自愿参与本项调查研究。统计女性医务人员出现女性月经改变的比率和月经改变的基本特征，并采用单因素和多因素分析的方法分析影响月经改变因素。并以抑郁症筛查量表（PHQ-9）评估女性医护人员的心理状态，分析女性医务人员月经改变与心理状态评分间相关性。结果  869名女性医护人员中有293例发生月经改变，改变率为33.72%，其中月经周期改变94例、经期时间改变86例、月经量改变68例、痛经改变45例。将869例女性医护人员分为月经正常组和月经改变组，经单因素分析，两组间的年龄、职业、值夜班频率、既往病史、新冠感染等比较差异无统计学意义（P＞0.05）。月经改变组的护士占58.36%高于月经正常的24.48%，月经改变组的新冠一线抗疫人员占64.51%高于月经正常的27.08%，月经改变组合并妇科疾病史的占比20.82%（61例）高于月经正常组的占比11.98%（69例）。而月经改变组的护士、新冠一线抗疫人员、合并妇科疾病史、新冠感染的比较差异有统计学意义（P＜0.05）。多因素分析显示，职业为护士、合并妇科疾病史、新冠一线抗疫人员的P值分别为0.001、0.004、＜0.001，故而职业为护士、合并妇科疾病史、新冠一线抗疫人员是女性医务人员月经改变的危险因素。月经改变组PHQ-9评分为9.10±2.57，月经正常组PHQ-9评分为5.98±1.06，月经改变组PHQ-9评分高于月经正常组（P＜0.001）。两组受试者PHQ-9评分比较差异具有统计学意义，月经改变组PHQ-9评分中0～4分受试者为26.3%，月经正常组为47.2%，月经改变组PHQ-9评分中0～4分者比例小于月经正常组，差异具有统计学意义（P＜0.05）。结论   女性医务人员中职业为护士、合并妇科疾病史、新冠一线抗疫人员是月经改变的主要危险因素，且月经改变与心理状态有密切的相关性，需引起医疗机构的关注。

      Objective  To analyze the influencing factors of menstruation changes of female medical staff and the correlation with their psychological status．Methods  The female medical staff in three hospitals of Shenzhen were  randomly sampled to get 869 questionnaires，with informed and willing to participate in this research．The rate of female menstruation changes and the basic characteristics of menstruation changes in female medical staff were calculated，and the influencing factors of menstruation changes were analyzed by single factor and multi factor analysis．And the psychological status of female medical staff was using the Depression Screening Scale （PHQ-9），and the correlation between menstrual changes and psychological status scores of female medical staff were analyzed．Results  Among 869 female medical staff，293 had hemorrhagic menstrual disease，with a change rate of 33.72%．Among them，94 had changes in menstrual cycle，86 had changes in menstrual period days，68 had changes in menstrual volume，and 45 had changes in dysmenorrhea．These 869 female medical staff were divided into normal menstruation group and menstrual change group．Through single factor analysis，there was no statistical difference between the two groups in terms of age，careers，night shift frequency，previous medical history，COVID-19 infection （P＞0.05）．The percentage of nurses in the menstrual change group was 58.36%，higher than that of 24.48% in the normal menstruation group．The percentage of frontline medical staff combating COVID-19 in the menstrual change group was 64.51%，higher than that of 27.08% in the normal menstruation group．And the percentage of menstrual change group with a history of combined gynecological diseases was 20.82% （61 cases），higher than that of the normal menstruation group was 11.98% （69 cases）．And the difference was statistically significant when comparing the ratio of nurses，the frontline medical staff combating COVID-19，the history of gynecological diseases，and COVID-19 infection in the menstrual change group （P＜0.05）．Multivariate analysis showed that the occupation of nurses，frontline medical staffs combating COVID-19，and history of gynecological diseases were the risk factors for menstrual changes．The PHQ-9  score of the menstrual change group was higher than that of the normal menstrual group，and the difference was statistically significant．Conclusions  The main risk factors for menstrual changes are nurses，frontline anti-epidemic staff，and women with gynecological disease history．Menstrual changes are closely related to mental status，attention from healthcare organizations．