Utilization of Patient-Controlled Analgesia Reduces Length of Stay of Sickle Cell Crisis Hospitalizations.

Background: Sickle cell crisis hospitalizations are emotionally and financially burdensome to patients and healthcare systems, and processes to decrease the frequency or length of stay of these crises should be examined. Methods: This is a multicenter retrospective hospital record review of sickle cell crisis hospitalizations as defined by ICD-10 codes (D57.1-4), from January 2016 through December 2019, examining inpatient medication administration records and length of stay among admitted adults aged 18-65 years. Patient controlled analgesia orders using morphine, hydromorphone, fentanyl and/or merperidine at any point of an admission (n=188) were compared to admissions without any patient-controlled analgesia orders (n=2,159). The primary end point was hospital length of stay in days. A secondary analysis examining patients with or without greater than four admissions was also conducted. Results: The 1,675 patients who met criteria comprised 2,347 sickle cell hospitalizations during the four years examined. Of those admissions, 188 had at least one patient-controlled analgesic documented in their chart and had an average length of stay of 4.54 days (SD 3.34). The 2,159 admissions without any patient-controlled analgesia had an average length of stay of 5.74 days (SD 4.64). The difference of 1.2 days between the groups was statistically significant (p≤0.0001) using a Wilcoxon signed-rank test. Conclusion: Among patients with sickle cell crises who required inpatient hospitalizations, the use of patient-controlled analgesia demonstrated a statistically significant reduction of 1.2 days in their total length of stay. These findings support potentially changing hospital protocols to increase patient-controlled analgesia utilization.

Predictors of interest in psychological treatment for insomnia among older primary care patients with disturbed sleep.

In this study, we examined whether the common sense model of illness representation (CSMIR) could be successfully used to predict interest in cognitive-behavioral treatment for insomnia (CBT-I) among older primary care patients with disturbed sleep. The Sleep Impairment Index (C. M. Morin, 1993) was used to assess sleep disturbance and the constructs of the CSMIR in primary care patients ages 55 and older. Statistical analyses showed that the CSMIR constructs of consequences (perceived adverse consequences of sleep disturbance to functioning), causes (attributing one's insomnia to bad sleeping habits), and emotion (concern about one's sleep problem) predicted interest in CBT-I. These data provided encouraging support for the ability of the CSMIR to accurately predict patient interest in treatment for insomnia. Implications for assessment and treatment of insomnia in primary care are discussed.