Nami Yoshioka’s research while affiliated with Mitsui Memorial Hospital and other places

Purpose: The aim of this study was to assess the role of the sub score of the home care score for the prediction of advisability of home care and to assess whether the it is useful for prediction when it is difficult to draw a high-precision prediction using the functional independence measure. Methods: In total, 148 subjects living at their home or in assisted-living facilities were analyzed. A binominal logistic regression analysis was conducted for all patients and a receiver operating characteristic analysis was conducted on the home care score of patients with a functional independence score ranging from 37-90, because, in this group, the ratio of home care was approximately 50 %. Result: Availability of a care provider, care provider's motivation, bedroom availability, home environment, and verbal communication skills were selected for the binomial logistic regress analysis on the sub items of the home care score for the prediction. The receiver operating characteristic analysis revealed that the area under the curve was 0.89 and the optimal cutoff point was 11 (n=53). Using the optimal cutoff points, sensitivity was 0.65, specificity was 1.0, and positive predictive value was 1.0. Conclusion: The home care score is useful for the prediction of advisability of home care when it is difficult to predict the same using the score of the functional independence measure. Additionally, the care provider's condition is important for home care.

[Purpose] This study investigated whether it is possible to predict return to home at discharge from a rehabilitation hospital in Japan using the home care score of patients with cerebrovascular or osteoarticular disease and low activities of daily living at admission. [Subjects and Methods] The home care score and functional independent measurement were determined for 226 patients at admission and at discharge from five hospitals, and receiver operating characteristic analyses were conducted. [Results] The home care score cutoff point for the prediction of return to home at admission and at discharge was 11, and the area under the curve was more than 0.8. The area under the curve of the home care score was 0.77 for patients with low activities of daily living and within this group, the probability of return to home was approximately 50%, as predicted by the functional independent measurement. The home care score increased after receiving intervention at a rehabilitation hospital. [Conclusion] The home care score is useful for the prediction of return to home from a rehabilitation hospital, although prediction using the functional independent measurement is difficult for patients with low activities of daily living. Moreover, comprehensive interventions provided by the rehabilitation hospitals improve the ability to provide home care of the patient’s family, which is assessed by the home care score.

Purpose . The aim of this study was to assess whether the home care score (HCS), which was developed by the Ministry of Health and Welfare in Japan in 1992, is useful for the prediction of advisability of home care. Methods . Subjects living at home and in assisted-living facilities were analyzed. Binominal logistic regression analyses, using age, sex, the functional independence measure score, and the HCS, along with receiver operating characteristic curve analyses, were conducted. Findings/Conclusions . Only HCS was selected for the regression equation. Receiver operating characteristic curve analysis revealed that the area under the curve (0.9), sensitivity (0.82), specificity (0.83), and positive predictive value (0.84) for HCS were higher than those for the functional independence measure, indicating that the HCS is a powerful predictor for advisability of home care. Clinical Relevance . Comprehensive measurements of the condition of provided care and the activities of daily living of the subjects, which are included in the HCS, are required for the prediction of advisability of home care.