TY - JOUR
T1 - Patient-nurse agreement on inpatient sleep and sleep disturbing factors
AU - van den Ende, Eva S.
AU - Burger, Pia
AU - Keesenberg, Marjolein
AU - Merten, Hanneke
AU - Gemke, Reinoud J. B. J.
AU - Nanayakkara, Prabath W. B.
N1 - Funding Information: We would like to express great appreciation to all patients and nurses who participated in this study. We would also like to extend our gratitude to the nurse students of Hogeschool Inholland who contributed to the inclusion of participants; Melissa Blom, Tim Sol, Peggy Sue Verburg, Roman Verbruggen, Roisin Gevers, Lana Schouten, Lisa van den Berg, Lyba Chaudhry and Bonnie de Boer, and their mentors; Karina Meijers Verhoeven, Anne Francine Kanneworff and Dyanne Kelderman. Publisher Copyright: © 2022
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Background: Sleep is vital for recovery during hospital stay. Many sleep-promoting interventions have been investigated in the past. Nurses seem to overestimate their patients sleep and their perspective is needed for these interventions to be successfully implemented. Objectives: To assess the patient's and nurse's agreement on the patient's sleep and factors disturbing sleep. Methods: The instruments used included 1) five Richard-Campbell Sleep Questionnaire (RCSQ) items plus a rating of nighttime noise and 2) the Consensus Sleep Diary (CSD). The mean of the five RCSQ items comprised a total score, which reflects sleep quality. Once a week, unannounced, nurses and patients were asked to fill in questionnaires concerning last night's sleep. Neither nurses nor patients knew the others' ratings. Patient-nurse agreement was evaluated by using median differences and Bland-Altman plots. Reliability was evaluated by using intraclass correlation coefficients. Results: Fifty-five paired patient-nurse assessments have been completed. For all RCSQ subitems, nurses' scores were higher (indicating “better” sleep) than patients’ scores, with a significantly higher rating for sleep depth (median [IQR], 70 [40] vs 50 [40], P = .012). The Bland-Altman plots for the RSCQ Total Score (r = 0.0593, P = .008) revealed a significant amount of variation (bias). The intra-class correlation coefficient (ICC) indicated poor reliability for all 7 measures (range −0.278 – 0.435). Nurses were relatively overestimating their own role in causing sleep disturbances and underestimating patient-related factors. Conclusions: Nurses tend to overestimate patients’ sleep quality as well as their own role in causing sleep disturbances.
AB - Background: Sleep is vital for recovery during hospital stay. Many sleep-promoting interventions have been investigated in the past. Nurses seem to overestimate their patients sleep and their perspective is needed for these interventions to be successfully implemented. Objectives: To assess the patient's and nurse's agreement on the patient's sleep and factors disturbing sleep. Methods: The instruments used included 1) five Richard-Campbell Sleep Questionnaire (RCSQ) items plus a rating of nighttime noise and 2) the Consensus Sleep Diary (CSD). The mean of the five RCSQ items comprised a total score, which reflects sleep quality. Once a week, unannounced, nurses and patients were asked to fill in questionnaires concerning last night's sleep. Neither nurses nor patients knew the others' ratings. Patient-nurse agreement was evaluated by using median differences and Bland-Altman plots. Reliability was evaluated by using intraclass correlation coefficients. Results: Fifty-five paired patient-nurse assessments have been completed. For all RCSQ subitems, nurses' scores were higher (indicating “better” sleep) than patients’ scores, with a significantly higher rating for sleep depth (median [IQR], 70 [40] vs 50 [40], P = .012). The Bland-Altman plots for the RSCQ Total Score (r = 0.0593, P = .008) revealed a significant amount of variation (bias). The intra-class correlation coefficient (ICC) indicated poor reliability for all 7 measures (range −0.278 – 0.435). Nurses were relatively overestimating their own role in causing sleep disturbances and underestimating patient-related factors. Conclusions: Nurses tend to overestimate patients’ sleep quality as well as their own role in causing sleep disturbances.
UR - http://www.scopus.com/inward/record.url?scp=85129965615&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.sleepx.2022.100047
DO - https://doi.org/10.1016/j.sleepx.2022.100047
M3 - Article
C2 - 35572156
SN - 2590-1427
VL - 4
JO - Sleep Medicine: X
JF - Sleep Medicine: X
M1 - 100047
ER -