检查患者的坚持和不同家庭炼计划的可行性:一个多中心随机对照研究
Neslihan Altuntaş Yılmaz1, Mustafa Karademir1, Yavuz Özkan1
1Institute of Health Sciences, Department of Physiotherapy and Rehabilitation, Necmettin Erbakan University, Konya, Türkiye.
Physiotherapy theory and practice
|December 1, 2025
概括
家庭炼计划 (HEP) 的指导方法不会显著影响成年人或儿童的患者遵守. 这项研究发现,在家庭炼计划中,没有一种优越的方法可以提高炼坚持度.
科学领域:
- 康复医学 康复医学 康复医学
- 物理疗法物理治疗
- 患者教育 患者教育
背景情况:
- 基于家庭的运动计划 (HEP) 对住院后患者的功能至关重要.
- 关于教导HEP最有效的方法存在缺乏共识.
研究的目的:
- 评估各种HEP教学方法的可行性和患者遵守情况.
- 为了在成人和儿科群体中比较不同的HEP输送格式.
主要方法:
- 这是一项多中心,随机对照试验,涉及237名成人和60名儿科患者.
- 患者通过口头指导,小册子或视频获得HEP (成年人的强化,儿童的拉伸)
- 通过使用验证的工具来评估信心,炼日数和完成率来衡量遵守和可行性.
主要成果:
- 在成年人或儿科组的三个指导方法中,没有观察到运动坚持或可行性的显著差异.
- 运动信心,运动日数和完成百分比在各组之间没有统计学上显著的差异.
- 成人和儿科参与者之间的坚持水平是可比的.
结论:
- 用于提供家庭炼计划的方法不会显著影响患者的坚持.
- 基于视频的指导与口头指导或改善对HEPs的遵守的小册子相比没有显著的优势.
- 目前的研究结果表明,在选择HEP指导方法时可以灵活使用,而不会影响患者的参与.
相关概念视频
Longitudinal Research
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Factors Affecting Illness
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness, disability,...
For instance, risk factors are connected to illness, disability,...
Bioavailability Study Design: Healthy Subjects Versus Patients
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,...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Study Designs in Epidemiology
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...


