相关实验视频
Updated: Jan 28, 2026

04:56
Assessment of Social Transmission of Food Preferences Behaviors
Published on: January 25, 2018
8.4K
评估OPHL后患者期望和偏好:评估研究的结果
Erika Crosetti1, Francesca Piccinini1, Anastasia Dyrda2
1ENT Department, Head Neck Cancer Unit, San Giovanni Bosco Hospital, 10154 Turin, Italy.
Current oncology (Toronto, Ont.)
|January 27, 2026
概括
开放的部分水平喉切除术 (OPHL) 为喉癌提供了良好的瘤治疗结果. 患者报告的结果显示,他们对语音和吞功能的满意度很高,尽管癌症治疗是首要任务.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 在瘤学瘤学.
- 患者报告的研究结果研究结果
背景情况:
- 开放的部分水平喉切除术 (OPHL) 是一种保守的喉癌治疗方法,具有已知的瘤疗效.
- 有限的数据存在于功能性结果和OPHL后患者的观点.
- 语音衰退是一个显著的限制,特别是在OPHL类型II-III.
研究的目的:
- 评估OPHL后的功能结果和患者前景.
- 评估患者对癌症治疗结果的优先考虑.
- 分析患者报告的语音,吞,决策冲突,遗憾和疼痛的结果.
主要方法:
- 单一机构对70名连续OPHL患者进行的研究.
- 随访时间中位数为52.5个月.
- 使用优先级量表,V-RQOL,MDADI,决策冲突量表,决策后悔量表和简要疼痛清单来评估PROs.
主要成果:
- 癌症治愈 (98.6%) 和延长寿命 (82.9%) 是患者的首要任务;自然语音保存较低 (34.3%).
- 与声音相关的生活质量 (V-RQOL) 的平均值为77.4/100;吞困难 (MDADI) 的平均值为78.5/100.
- 报告了较低的决策冲突 (34.3/100) 和遗憾 (13.0/100); 78.6%的人没有经历疼痛.
结论:
- OPHL产生了令人满意的功能和决策结果.
- 高患者满意度是可以实现的OPHL,即使是复杂的治疗.
- 试验结果显示,OPHL疗效与副作用之间存在良好的平衡.
相关概念视频
Expected Value
7.8K
The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
7.8K
Determination of Expected Frequency
2.6K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.6K
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
2.5K
Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
2.5K
Bioavailability Study Design: Healthy Subjects Versus Patients
147
Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
147
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis
2.4K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
2.4K
Expected Frequencies in Goodness-of-Fit Tests
8.7K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
8.7K

