ABSTRACT
We collected and analyzed large-scale data concerning the fall of stroke inpatients in convalescent rehabilitation wards. Three hundred seventy-four of 1,107 inpatients experienced one fall or more, and 16 factors associated with falls were clarified by the chi-square test. To extract the significant item from a multifactor, the logistic regression analysis of 16 factors was carried out, and we developed an assessment sheet for the risk degree of first fall prediction in stroke inpatients. We selected eight variables as the items on the assessment sheet : history of previous falls, central paralysis, visual impairment, sensory disturbance, urinary incontinence, use of psychotropic medicines, mode of locomotion, and cognitive impairment. The total score of the assessment sheet was ranged from 0 to 10 and the mean score of fallers (6.4±1.5) among subjects was significantly higher than that of non-fallers (5.1±1.9) (<i>p</i> <0.001). When the subjects were classified into three groups, a significant difference (<i>p</i><0.001) in the tendency of fall incidence in term of days after admission was found among the three groups on the basis of the Kaplan-Meier survival curve.
ABSTRACT
Currently, there are more than 53,000 beds in kaifukuki rehabilitation wards throughout Japan. The development of kaifukuki rehabilitation wards is proceeding smoothly in terms of quantity. It is suggested that, with this development, the activities of daily living of patients will significantly improve, leading to an increase in the likelihood of patients returning home when a large unit of daily rehabilitation training is provided via one of these kaifukuki rehabilitation wards. The tasks remaining to be completed for the optimal realization of the kaifukuki rehabilitation wards are to reduce the disparity in the number of beds among prefectures, to realize a mature team approach to the rehabilitation program, to encourage full-time ward physicians of the rehabilitation department to exercise leadership, to enhance subacute medical services, to enhance human resources such as nurses and rehabilitation specialists and to improve the education and training system for the staff. Other major tasks remaining are to strengthen the cooperation between kaifukuki rehabilitation wards and acute hospitals, by which such rehabilitation wards will become capable of actively accepting patients from an early stage, and to establish cooperation between kaifukuki rehabilitation wards and the home care system.
ABSTRACT
<p><b>OBJECTIVE</b>We conducted a study to develop an assessment sheet for fall prediction in stroke inpatients that is handy and reliable to help ward staff to devise a fall prevention strategy for each inpatient immediately upon admission.</p><p><b>METHODS</b>The study consisted of three steps: (1) developing a data sampling form to record variables related to risk of falls in stroke inpatients and conducting a follow-up survey for stroke inpatients from their admission to discharge by using the form; (2) carrying out analyses of characteristics of the present subjects and selecting variables showing a high hazard ratio (HR) for falls using the Cox regression analysis; (3) developing an assessment sheet for fall prediction involving variables giving the integral coefficient for each variable in accordance with the HR determined in the second step.</p><p><b>RESULTS AND DISCUSSION</b>(1) Subjects of the present survey were 704 inpatients from 17 hospitals including 270 fallers. (2) We selected seven variables as predictors of the first fall: central paralysis, history of previous falls, use of psychotropic medicines, visual impairment, urinary incontinence, mode of locomotion and cognitive impairment. (3) We made 960 trial models in combination with possible coefficients for each variable, and among them we finally selected the most suitable model giving coefficient number 1 to each variable except mode of locomotion, which was given 1 or 2. The area under the ROC curve of the selected model was 0.73, and sensitivity and specificity were 0.70 and 0.69, respectively (4/5 at the cut-off point). Scores calculated from the assessment sheets of the present subjects by adding coefficients of each variable showed normal distribution and a significantly higher mean score in fallers (4.94 +/- 1.29) than in non-fallers (3.65 +/- 1.58) (P = 0.001). The value of the Barthel Index as the index of ADL of each subject was indicated to be in proportion to the assessment score of each subject.</p><p><b>CONCLUSION</b>We developed an assessment sheet for fall prediction in stroke inpatients that was shown to be available and valid to screen inpatients with risk of falls immediately upon admission.</p>