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The Effect of Training Given to With Hypertension

The Effect of Training Given According to the Roy Adaptation Model on the Sleep and Quality of Life of Individuals With Hypertension

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06521242
Enrollment
110
Registered
2024-07-25
Start date
2021-07-01
Completion date
2022-12-26
Last updated
2024-07-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertension, Train Sickness

Keywords

Nursing, Hypertension, Roy Adaptation Model, Sleep Quality, Quality of Life

Brief summary

The study was conducted to examine the effects of the training given according to the Roy Adaptation Model on the sleep and quality of life of individuals with hypertension.

Detailed description

Nurses have responsibilities in the treatment of hypertension, especially in controlling blood pressure and risk factors. Patient evaluation, diagnosis, follow-up, medication management, patient training, counseling, and clinical management of patients are among the responsibilities of nurses. It has been reported in previous studies that insufficient sleep duration and sleep apnea cause hypertension. Hypertension patients have been reported to have lower sleep quality scores when compared to individuals with normal blood pressure. Training given by nurses on issues such as the importance of sleep, providing the necessary sleep time, and resting the individual can turn hypertension into a controllable disease. Previous studies reported that hypertension reduces the quality of life of individuals. Quality of life of hypertension patients is affected by factors such as age, gender, educational status, genetics, and the negative consequences of the disease. These negative consequences can be organ damage, side effects of drugs used, other diseases, obesity, and sexual dysfunctions. The negative psychological state of patients can affect blood pressure, quality of life, and sleep patterns negatively. Nurses come to the forefront especially with their educational roles in preventive healthcare services, ensuring adaptation to disease and rehabilitation services. One of the most common models used to guide nursing practice and training is the Roy Adaptation Model (RAM) in nursing. Since RAM is functional in compliance with treatment and coping with chronic diseases, it is used as a conceptual model to construct and test nursing theories. In a study that was conducted by Seah and Tham using RAM, it was reported that individuals adapted better to their disease in a changing environment in the treatment of bulimia nervosa. In the study of Afrasiabifar, Karimi, and Hassani, it was reported that patient training based on RAM strengthened the adjustment in the physiological state and self-concept areas of patients. It was found in another study that patients who received RAM training used effective coping mechanisms to adapt to various symptoms and responded more positively to treatment. In a study conducted by Lok et al., it was found that Cognitive Stimulation Therapy significantly increased the quality of life. Also, in another study that was conducted according to RAM, it was reported that web-based training increased the quality of life significantly in the physiological field. There may be problems in compliance with the disease, symptoms, disease management, and treatment in hypertension patients. Patient training given by nurses is important in ensuring compliance with the disease, treatment, and care of hypertension patients. It is considered that the training based on RAM will be beneficial in the training to be given by nurses. Studies conducted in Turkey show that it is necessary to increase social awareness about hypertension and use model-based training by nurses who provide care. Because patient compliance is mainly focused on in patient training in the treatment process of hypertension and it is considered the most important variable in the treatment process. The present study was conducted to determine the effects of the training given according to RAM on sleep and quality of life in patients diagnosed with hypertension.

Interventions

OTHERPatient Education

The intervention group was given 120 minutes of training.

Sponsors

Kader ÖZTÜRK
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Being diagnosed with hypertension for at least 6 months * Having applied to clinics for follow-ups * Knowing the diagnosis and being able to express it verbally * Not having a communication problem * Being literate

Exclusion criteria

* Incomplete data form * Leaving the study at any stage

Design outcomes

Primary

MeasureTime frameDescription
Pittsburg Sleep Quality Index (PSQI)up to eight weeksThe index was developed by Buysse et al. in 1989 to evaluate the sleep duration and intensity of individuals. The scale has 11 items and 7 sub-dimensions. These items are scored between 0-3. The scores that can be obtained from the scale range from 0 to 21 points. The Turkish validity and reliability of the scale was conducted by Ağargün et al. in 1996. A high total scale score indicates poor sleep quality. A reliable, valid, and standard measurement of sleep quality is made with PSQI. The Cronbach Alpha Internal Consistency Coefficient of the scale is 0.80.

Secondary

MeasureTime frameDescription
SF-36 Quality of Life Scaleup to eight weeksThe scale, which is widely used in health-related quality-of-life studies, was developed by Ware and Sherbourne. A high score on the scale indicates a good quality of life. The scores that can be obtained from the sub-dimensions and the sum of the scale vary between 0-100. A score approaching zero indicates poor health and 100 indicates good health. The Turkish validity and reliability of the scale was conducted by Pınar in 1995.

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026