National Healthcare Quality and Disparities Report
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大象视频Research Studies
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Research Studies is a compilation of published research articles funded by 大象视频or authored by 大象视频researchers.
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1 to 2 of 2 Research Studies DisplayedMouch CA, Baskin AS, Yearling R CA, Baskin AS, Yearling R
Sleep patterns and quality among inpatients recovering from elective surgery: a mixed-method study.
This study examined sleep quality and barriers to sleep among adult hospital inpatients recovering from elective surgery. A quantitative survey was used followed by a qualitative phone interview with a subsample of participants. Of 113 eligible patients, 102 (90%) completed the survey. Less than half reported sleeping well the night prior to surgery and 93% reported less sleep in the hospital compared to home. A median of 5 (4-7) interruptions were reported each night. Patients with more than three interruptions were likely to report poor sleep compared with those who had three or less. Barriers to sleep included staff interruptions and roommate noise but not pain. Patients interviewed suggested improved timing and knowledge of interruptions or use of noise-reduction aids that would facilitate sleep.
AHRQ-funded; HS026030.
Citation: Mouch CA, Baskin AS, Yearling R CA, Baskin AS, Yearling R .
Sleep patterns and quality among inpatients recovering from elective surgery: a mixed-method study.
J Surg Res 2020 Oct;254:268-74. doi: 10.1016/j.jss.2020.04.032..
Keywords: Sleep Problems, Surgery, Quality Improvement, Quality of Care, Inpatient Care, Hospitals, Patient Experience
Ye L, Owens RL, Dykes P
Individualized sleep promotion in acute care hospitals: Identifying factors that affect patient sleep.
The aim of this study was develop a tool that can be used to measure factors that affect patient sleep in acute care hospitals. A tool called Factors Affected Inpatient Sleep (FAIS) was developed using literature review and was validated by content validity testing. The scale was tested on 105 hospitalized patients and the most significant sleep disruptors were identified. The final FAIS scale included 14 items in three subscales. The biggest factors for sleep disruption included 1) emotional or physical impairment due to illness or hospitalization; 2) sleep disturbance due to discomfort of their care plan schedule; and 3) sleep interruption due to the hospital environment or medical care. The reliability of the scale was measured at 0.87 with Cronbach鈥檚 alpha coefficient and reliability of the subscales ranged from 0.72 to 0.81.
AHRQ-funded; HS024330.
Citation: Ye L, Owens RL, Dykes P .
Individualized sleep promotion in acute care hospitals: Identifying factors that affect patient sleep.
Appl Nurs Res 2019 Aug;48:63-67. doi: 10.1016/j.apnr.2019.05.006..
Keywords: Health Promotion, Hospitalization, Hospitals, Inpatient Care, Sleep Problems
