Is the Current Lights-Off Time in General Hospitals Too Early, Given People's Usual Bedtimes?

OBJECTIVE

This study aimed to investigate how shift-working nursing professionals perceive the current lights-off time in wards as early, appropriate, or late and how their perceptions can be influenced when considering people's usual bedtimes.

METHODS

An online survey was conducted comprising queries about the current lights-off time in wards and respondents' opinions, self-rated psychological status, and perceptions of the current lights-off time considering others' usual bedtimes. Psychological status was evaluated using the Insomnia Severity Index, the Patient Health Questionnaire-9, the Dysfunctional Beliefs and Attitudes about Sleep-16, and the Discrepancy between Desired Time in Bed and Desired Total Sleep Time (DBST) Index, along with the expected DBST Index of others.

RESULTS

Of 159 nursing professionals, 88.7% regarded the current lights-off time of 9:46±0:29 PM as appropriate. However, when considering others' usual bedtimes, the proportion perceiving the lights-off time as too early rose from 6.9% to 28.3%. Participants recommended delaying the lights-off time to 10:06±0:42 PM for patients' sleep and 10.22±0:46 PM for nursing care activities. Nursing professionals' insomnia severity was significantly higher among who responded that current light off time is too early after considering usual bedtime of other people.

CONCLUSION

This study underscores the need to reassess lights-off times in wards given individuals' typical bedtimes. The findings emphasize the need to address nursing professionals' perspectives and insomnia severity when optimizing lights-off schedules in healthcare settings.

The Prevalence and Incidence of Insomnia in Korea during 2005 to 2013

OBJECTIVE

The aim of this study was to estimate the progress of insomnia prevalence and incidence over the past several years. Also, this study compared survival rates between individuals with and without insomnia.

METHODS

The National Health Insurance Service-National Sample Cohort (NHIS-NSC) from 2002-2013 was used for this study. Prevalent cases of insomnia were defined using ICD-10 codes F51.0 or G47.0, or a prescription of sedatives. Cox's proportional hazard analysis was conducted to compare survival rates between insomnia patients and people without insomnia.

RESULTS

In 2013, there were 46,167 (5.78%) insomnia patients over 20 years old in this cohort. Insomnia was more common among women and the elderly. Annual incidence over the past several years remained steady but the prevalence increased. The survival of insomnia patients was lower than that of people without insomnia, and the hazard ratio for overall mortality was 1.702 (p<0.001).

CONCLUSION

This large-scale population-based cohort study provided current epidemiologic indicators of insomnia in the Korean general population.

A Sleep Education and Hypnotics Reduction Program for Hospitalized Patients at a General Hospital

OBJECTIVE

We applied a program of sleep education and hypnotics reduction for inpatients (the i-sleep program). This study explored whether the i-sleep program is effective for reducing the prescription rate of sleeping pills to inpatients in a general hospital.

METHODS

We estimated the proportion of inpatients prescribed hypnotics at admission to and discharge from the hospital, excluding pediatric care units, before (2014) and after (2015) the program. In addition, we estimated the proportion of inpatients prescribed sleeping pills among all inpatients on the first day of each month of 2014 and 2015.

RESULTS

The proportion of inpatients prescribed hypnotics as discharge medication among inpatients who had been prescribed them at the time of admission decreased significantly, from 57.0% to 46.8%, after the i-sleep program (RR=0.82, 95% CI: 0.79-0.86). The proportion of inpatients newly prescribed sleeping pills after admission to the hospital did not significantly decrease (1.97% to 2.00%; RR=1.01, 95% CI: 0.96-1.07). The mean prescription rate of sleeping pills per day was 8.18% in 2014 and 7.78% in 2015.

CONCLUSION

The i-sleep program reduced the proportion of inpatients who continued to take sleeping pills from admission until discharge, although it did't reduce the prescription rate per day.