- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06744023
Effects of Improved Environment on Sleep, Anxiety-Depression
The Effect of Improved Envıronment Accordıng to Watson's Theory of Human Care on Sleep, Anxıety, and Depressıon ın Patıents Undergoıng Open Heart Surgery: A Randomızed Controlled Study
The aim of this randomized controlled trial was to examine the effect of an improved environment on sleep, anxiety, and depression in patients undergoing open heart surgery. This study aims to answer the following main questions:
- According to Watson's Human Care Theory, what is the effect of the improved environment on patients' sleep level and sleep quality?
- According to Watson's Human Care Theory, what is the effect of the improved environment on patients' anxiety and depression levels?
In order to observe the effect of the improved environment on sleep, anxiety, and depression, the researchers ensured that the room temperature, humidity, and lumen range of the light were at the appropriate level in the first 3 days after the surgery of the patients in the experimental group and gradually decreased them gradually.
Study Overview
Status
Conditions
Detailed Description
The aim of this randomized controlled trial was to examine the effect of an improved environment on sleep, anxiety, and depression in patients undergoing open heart surgery. This study aims to answer the following main questions:
- According to Watson's Human Care Theory, what is the effect of the improved environment on patients' sleep level and sleep quality?
- According to Watson's Human Care Theory, what is the effect of the improved environment on patients' anxiety and depression levels? Before collecting data for this study, the "G. Power-3.1.9.2" program calculated the sample size at an 80% confidence level. The "Sample Calculation Formula with Known Universe (Population Volume)" (n = Nz2pq / d2(N-1) + z2pq) determined the sample. The literature review determined the "effect size" value to be 0.096. Taking the primary type error of 5% (Z = 1,96), the test power of 80%, and the effect size value of 0,096 units, we calculated the minimum sample size as n = 60. Therefore, the study included 60 volunteer patients, with 30 placed in the experimental group and 30 in the control group.
Data were collected using the Personal Information Form, the Richard-Campbell Sleep Questionnaire (RCSQ), and the Hospital Anxiety and Depression (HAD) Scale.
The patients who underwent open heart surgery and who were in the experimental group were admitted to the ward from the postoperative intensive care unit and the environment was improved for three days based on the improved environment of Watson's HCT, and on the morning of the fourth day in the clinic, the patients were interviewed face to face and the Personal Information Form, RSCQ and HAD Scale were completed. The following improvements were implemented within the scope of environmental improvement:
- Considering the seasonal conditions, the patient room was ensured to have appropriate temperature (18-26 °C) and humidity values (30-60%), and the temperature and humidity were gradually reduced and maintained in the appropriate range by monitoring at 21:00, 22:00, and 23:00 (Days 1, 2, and 3).
- In line with the environmental arrangements, the brightness of the light in the patient room was gradually reduced at 21:00, 22:00, and 23:00 using the Light Meter LM-3000 (Days 1, 2, and 3).
Characteristics of the measuring instrument and application
- The humidity and temperature of the patient room were measured with a Digital-Clock Humidity Meter and Thermometer Device. The Digital-Clock Humidity Meter and Thermometer is a digital thermo-hygrometer that displays indoor temperature and humidity values. The device can stand on the desktop or hang on the wall. The device displays temperature and humidity values, and it also stores the highest and lowest values in its memory. Temperature measurement units can be selected as 0°C or 0°F. The temperature measurement range is -10 to +600, and the accuracy is ± 1 °C. The humidity measurement range of the device with a temperature resolution of 0.1 °C is between 10 and 99%. The humidity sensitivity is ±5%, and the humidity resolution rate is 1%. The device's dimensions are (L) 102 x (W) 21 x (H) 110 mm. It weighed 122 grams.
- The luminous intensity of the light in the patient room was measured with the Light Meter LM-3000 mobile application provided by the researcher. Luminous intensity is the amount of luminous flux per unit area of a surface per unit time. E represents it, lux serves as its unit, and a luxmeter measures it. By definition, we divide the luminous flux of the surface by its area (E = lumen/m2). Light Meter LM-3000 is a mobile application that measures the illuminance of light in lux. Its measurement algorithm offers unrivaled precision to capture the slightest lighting changes, opening up new possibilities in light pollution and health research. Developed by optical scientists and engineers and compatible with five languages, the Light Meter LM-3000 is calibrated using professional Class A equipment for all iPhones and iPads.
The patients in the control group continued to receive standard treatment and care. On the morning of the fourth day after the patients were admitted to the ward from the postoperative intensive care unit, the patients were interviewed face-to-face and the Personal Information Form, RCSQ, and HAD Scale were completed.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Van, Turkey
- Yuzuncu Yil University
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients between the ages of 18 and 65 who have undergone open heart surgery and who are conscious and willing to communicate and cooperate.
Exclusion Criteria:
- Patients younger than 18 years and older than 65 years who did not want to participate in the study voluntarily
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: EXPERIMENTAL GROUP
Upon admission to the ward from the postoperative intensive care unit, the experimental group underwent environmental remediation for three days.
The environmental arrangements ensured that the patient room maintained an appropriate temperature range of 18-26 °C and humidity values of 30-60%.
Monitoring took place at 21:00, 22:00, and 23:00 on Days 1, 2, and 3. On Days 1, 2, and 3, the patient room's light brightness gradually decreased at 21:00, 22:00, and 23:00.
On the morning of the fourth day, the patients were interviewed face-to-face, and the research questionnaires were filled out.
|
The patients who underwent open heart surgery and who were in the experimental group were admitted to the ward from the postoperative intensive care unit and the environment was improved for three days based on the improved environment of Watson's HCT, and on the morning of the fourth day in the clinic, the patients were interviewed face to face and the Personal Information Form, RSCQ and HAD Scale were completed. The following improvements were implemented within the scope of environmental improvement:
Other Names:
|
|
No Intervention: CONTROL GROUP
The patients in the control group continued to receive standard treatment and care.
On the morning of the fourth day after the patients were admitted to the ward from the postoperative intensive care unit, the patients were interviewed face-to-face and the Personal Information Form, RCSQ, and HAD Scale were completed.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Improved sleep quality with optimised environment
Time Frame: The first three days after transfer from intensive care to the ward
|
This outcome measure assesses how the improved environment affects postoperative sleep quality with the Richard-Campbell Sleep Questionnaire (RCSQ).
|
The first three days after transfer from intensive care to the ward
|
|
Improvement in anxiety levels with improved environment
Time Frame: The first three days after transfer from intensive care to the ward
|
This outcome measure assesses how the improved environment affects postoperative anxiety with the Hospital Anxiety and Depression (HAD) Scale.
|
The first three days after transfer from intensive care to the ward
|
|
Improvement in depression levels with improved environment
Time Frame: The first three days after transfer from intensive care to the ward
|
TThis outcome measure assesses how the improved environment affects postoperative depression with the Hospital Anxiety and Depression (HAD) Scale.
|
The first three days after transfer from intensive care to the ward
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: HATİCE AZİZOĞLU, Study Principal Investigator
Publications and helpful links
General Publications
- Falci SG, Marques LS. CONSORT: when and how to use it. Dental Press J Orthod. 2015 May-Jun;20(3):13-5. doi: 10.1590/2176-9451.20.3.013-015.ebo. No abstract available.
- Nicholson G, Gandra SR, Halbert RJ, Richhariya A, Nordyke RJ. Patient-level costs of major cardiovascular conditions: a review of the international literature. Clinicoecon Outcomes Res. 2016 Sep 21;8:495-506. doi: 10.2147/CEOR.S89331. eCollection 2016.
- Yin L, Rong T, Zhang Y, Gao J. The relationship between sleep quality and anxiety and depression among older caregivers of centenarians in China: A cross-sectional study. Geriatr Nurs. 2023 Nov-Dec;54:302-309. doi: 10.1016/j.gerinurse.2023.10.005. Epub 2023 Oct 31.
- Frontini R, Rebelo-Goncalves R, Amaro N, Salvador R, Matos R, Morouco P, Antunes R. The Relationship Between Anxiety Levels, Sleep, and Physical Activity During COVID-19 Lockdown: An Exploratory Study. Front Psychol. 2021 Mar 30;12:659599. doi: 10.3389/fpsyg.2021.659599. eCollection 2021.
- Demir B, Saritas S. The relationship between anxiety and stress levels with quality of sleep in patients after living donor liver transplantation. Transpl Immunol. 2022 Apr;71:101561. doi: 10.1016/j.trim.2022.101561. Epub 2022 Feb 25.
- Nyer M, Farabaugh A, Fehling K, Soskin D, Holt D, Papakostas GI, Pedrelli P, Fava M, Pisoni A, Vitolo O, Mischoulon D. Relationship between sleep disturbance and depression, anxiety, and functioning in college students. Depress Anxiety. 2013 Sep;30(9):873-80. doi: 10.1002/da.22064. Epub 2013 May 16.
- Tian Y. A review on factors related to patient comfort experience in hospitals. J Health Popul Nutr. 2023 Nov 8;42(1):125. doi: 10.1186/s41043-023-00465-4.
- Wei Q, Lee JH, Park HJ. Novel design of smart sleep-lighting system for improving the sleep environment of children. Technol Health Care. 2019;27(S1):3-13. doi: 10.3233/THC-199002.
- Delaney LJ, Currie MJ, Huang HC, Lopez V, Van Haren F. "They can rest at home": an observational study of patients' quality of sleep in an Australian hospital. BMC Health Serv Res. 2018 Jul 5;18(1):524. doi: 10.1186/s12913-018-3201-z.
- Yelden K, Duport S, Kempny A, Playford ED. A rehabilitation unit at night: environmental characteristics of patient rooms. Disabil Rehabil. 2015;37(1):91-6. doi: 10.3109/09638288.2014.906662. Epub 2014 Apr 1.
- Matsumoto Y, Uchimura N, Ishida T, Morimatsu Y, Mori M, Inoue M, Kushino N, Hoshiko M, Ishitake T. The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers. Sleep Biol Rhythms. 2017;15(4):291-297. doi: 10.1007/s41105-017-0110-1. Epub 2017 Jul 21.
- Gimenez MC, Geerdinck LM, Versteylen M, Leffers P, Meekes GJ, Herremans H, de Ruyter B, Bikker JW, Kuijpers PM, Schlangen LJ. Patient room lighting influences on sleep, appraisal and mood in hospitalized people. J Sleep Res. 2017 Apr;26(2):236-246. doi: 10.1111/jsr.12470. Epub 2016 Nov 10.
- Norman V, Rossillo K, Skelton K. Creating Healing Environments Through the Theory of Caring. AORN J. 2016 Nov;104(5):401-409. doi: 10.1016/j.aorn.2016.09.006.
- Sarrafzadegan N, Mohammmadifard N. Cardiovascular Disease in Iran in the Last 40 Years: Prevalence, Mortality, Morbidity, Challenges and Strategies for Cardiovascular Prevention. Arch Iran Med. 2019 Apr 1;22(4):204-210.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2023/09-17
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Cardiovascular Diseases
-
Hull University Teaching Hospitals NHS TrustNot yet recruitingCardiovascular Surgery | Cardiovascular Diseases (CVD)United Kingdom
-
Weill Medical College of Cornell UniversityAmerican Heart AssociationRecruitingCardiovascular | Cardiovascular Health | Cardiovascular (CV) Risk | Cardiovascular Disease (CVD) Risk FactorsUnited States
-
Fu Jen Catholic UniversityRecruitingCardiovascular Disease | Cardiovascular SurgeryTaiwan
-
Medical College of WisconsinNational Center for Complementary and Integrative Health (NCCIH)CompletedCardiovascular Diseases | Cardiovascular Risk Factor | Cardiovascular HealthUnited States
-
Hospital Mutua de TerrassaCompleted
-
IRCCS Policlinico S. DonatoIRCCS San Raffaele; Fondazione Policlinico Universitario Agostino Gemelli IRCCS and other collaboratorsRecruitingCardiovascular Risk | Genetic Cardiovascular RiskItaly
-
Oregon Health and Science UniversityCompletedCardiovascular Disease | Cardiovascular Risk FactorsUnited States
-
Women's College HospitalUniversity Health Network, Toronto; Sunnybrook Health Sciences Centre; Brigham... and other collaboratorsUnknownCARDIOVASCULAR DISEASESCanada, United States
-
Groupe Hospitalier Paris Saint JosephTerminatedCARDIOVASCULAR DISEASESFrance
-
Children's Hospital Medical Center, CincinnatiRecruitingCardiovascular Diseases (CVD)United States