Impact of nurse-led interprofessional work in older patients with heart failure and multimorbidity: A retrospective cohort study.

Background: The number of patients with multimorbidity has increased due to the aging of the global population. Although the World Health Organization has indicated that multimorbidity will be a major medical problem in the future, the appropriate interventions for patients with multimorbidity are currently unknown. This study aimed to investigate whether nurse-led interprofessional work is associated with improved prognosis in heart failure patients with multimorbidity aged ≥65 years who were admitted in an acute care hospital. Methods: Patients who were admitted to the cardiovascular medicine ward of an acute care hospital in Osaka, Japan, and underwent nurse-led interprofessional work from April 1, 2017 to March 31, 2020, and from April 1, 2014 to March 31, 2016, were included in this retrospective cohort study. The patients were matched by age, sex, and New York Heart Association classification. The nurse-led interprofessional work was based on a three-step model that incorporates recommendations from international guidelines for multimorbidity. The primary outcome was all-cause mortality. Results: The mean age of the participants was 80 years, and 62 % were men. The nurse-led interprofessional work group showed a significant difference in all-cause mortality compared with the usual care group (hazard ratio, 0.45; 95 % confidence interval [CI], 0.29-0.69; P < 0.001). Compared with the usual care group, the nurse-led interprofessional work group exhibited a 7 % difference in mortality rate at 1-year post-discharge (P < 0.001). Conclusions: Nurse-led interprofessional work may reduce the all-cause mortality in older patients with heart failure and multimorbidity.

Physical function decline predictors in nursing home residents using new national quality indicators.

AIM: To determine the predictors of physical function (PF) decline among nursing home residents using items from the Long-term care Information system For Evidence (LIFE), a system launched in 2021 to ensure the quality of long-term care. METHODS: The LIFE data of 1648 residents from 45 nursing homes in Japan were retrospectively collected in July 2021 (T0) and January 2022 (T1), including demographics, PF assessed by the Barthel index (BI), nutrition and oral health, and cognitive function. The Dementia Behavior Disturbance scale was used to assess the frequency of certain behaviors, such as "waking at midnight." The predictors of PF decline, defined as a decrease ≥5 in the BI score at T1 compared with that at T0, were determined using mixed-effects logistic regression analyses. PF at T0 was classified into high (>60 BI) and low (≤60 BI) groups. RESULTS: The participants' mean age was 87.2 ± 7.1 years, and 45.3% experienced PF decline. The significant predictors of PF decline were age ≥ 90 years, body mass index <18.5 kg/m2 , dementia diagnosis, moderate and severe cognitive impairments, not vocalizing reciprocal exchanges at will, always "waking at midnight," and high PF at T0. CONCLUSIONS: The LIFE items predicted PF decline among nursing home residents, suggesting that LIFE data can be used to ensure the quality of long-term care. Geriatr Gerontol Int 2024; 24: 123-132.

Unplanned Hospital Visits and Poor Oral Health With Undernutrition in Nursing Home Residents.

OBJECTIVES: In 2021, the Japanese government began operating a long-term care (LTC) database called the Long-Term Care Information System for Evidence (LIFE). However, its utility has not been verified. Regarding unplanned hospital visits of nursing home residents, one of the challenges in LTC is that poor oral health with undernutrition could indicate high-risk residents. Therefore, this study examined the association between poor oral health with undernutrition assessed using the LIFE data and unplanned hospital visits of nursing home residents. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: The participants were 237 residents aged ≥65 years in 4 nursing homes in Japan. The analyses included 1041 LIFE data entries repeatedly measured for the participants every month and unplanned hospital visit data during the observation period. METHODS: The participants' LIFE and unplanned hospital visit data were obtained from the nursing home providers. Poor oral health was defined using oral items included in the LIFE data and body mass index. Using the LIFE data, the association between poor oral health and unplanned hospital visits within 1 month after LIFE assessment entries was analyzed. The odds ratios (ORs) and 95% CIs were calculated using a generalized linear mixed model. RESULTS: In total, 59 of 1041 LIFE data (5.7%) entries were unplanned hospital visits within 1 month after LIFE assessment. Among patient characteristics, significant differences were noted in dementia diagnosis [OR (95% CI): 2.66 (1.26-5.63)], although no significant differences were observed in other characteristics. Multivariate analysis using participant identification as a random effect confirmed that poor oral health was associated with unplanned hospital visits within 1 month [adjusted OR (95% CI): 2.63 (1.05-6.61)]. CONCLUSIONS AND IMPLICATIONS: Poor oral health assessed using the LIFE data could be used as an indicator to identify nursing home residents at high risk for unplanned hospital visits.

Association between respiratory and heart rate fluctuations and death occurrence in dying cancer patients: continuous measurement with a non-wearable monitor.

BACKGROUND: The present study aimed to explore the association between impending death and continual changes in respiratory and heart rates measured using a non-wearable monitor every minute for the final 2 weeks of life in dying cancer patients. METHODS: In this longitudinal study, we enrolled patients in a palliative care unit and continuously measured their respiratory and heart rates via a monitor and additionally captured their other vital signs and clinical status from medical records. RESULT: A dataset was created comprising every 24-h data collected from every-minute raw data, including information from 240 days prior to death from 24 patients (345,600 data); each patient's data were measured for 3-14 days until death. After confirming the associations between the respiratory and heat rate values on the day of death (n = 24) or other days (2-14 days before death, n = 216) and the mean, maximum, minimum, and variance of respiratory and heart rates every 24 h by univariate analyses, we conducted a repeated-measures logistic regression analysis using a generalized estimating equation. Finally, the maximum respiratory rate and mean heart rate were significantly associated with death occurring within the following 3 days (0-24 h, 0-48 h, and 0-72 h), except for the maximum respiratory rate that occurs within 0-24 h. CONCLUSION: The maximum respiratory rate and mean heart rate measured every minute using a monitor can warn family caregivers and care staff, with the support of palliative care professionals, of imminent death among dying patients at home or other facilities.

Feasibility and Clinical Usefulness of a Novel Nonwearable Sheet-Type Monitor (Nemuri SCAN): Prognostic Value of Increased Respiratory Rate in Actively Dying Patients.

Objective: The objective of this study was to explore the feasibility of monitoring actively dying patients hospitalized in a palliative care unit using a nonwearable sheet-type monitor that measured the state of sleep and vital signs per minute. In addition, we aimed to clarify the incidence of increased respiratory rate and its relationship with survival time. Design and Measurement: This study was conducted at a 51-bed palliative care unit in Japan from April 2018 through October 2019. Actively dying patients hospitalized in the palliative care unit were eligible to participate. Increased respiratory rate was measured by Nemuri SCAN, and patient's information was extracted from their medical records. Results: In this study, 23 patients were monitored until death; 19 patients with an observational period of 7 days or longer (163 patient days in total) were included in this analysis. There were no adverse events due to use of the nonwearable device. The cumulative incidence of increased respiratory rate (defined as more than 30 respiratory rate per minute) was 63.16% during the observational period, and the mean time between appearance of increased respiratory rate and death was 4.17 ± 4.04 days. Conclusion: This study clearly shows that hospitalized actively dying patients can be monitored using a nonwearable sheet-type monitor that measures sleeping state and vital signs per minute. Further studies are needed to utilize these noninvasive continuous monitoring devices in daily clinical practice.