Research Article
Cognition and Implementation of Disaster Preparedness among Japanese Dialysis Facilities
Table 1
Characteristics of participants and their facilities.
| | Variables | Percentage of missing values | Categories/characteristics | Distribution |
| | Participants | | | | | Job type | 0.01) | Physician | 47.8 | | | | Nurse | 17.6 | | | | Clinical engineer | 24.2 | | | | Clerical staff | 8.1 | | | | Others/nonresponse | 2.3 | | Position | 0.01) | Director of the facility | 33.1 | | | | Office manager | 7.9 | | | | Head of the dialysis department | 31.5 | | | | Chief nurse | 12.8 | | | | Chief clinical engineer | 7.4 | | | | Others/nonresponse | 7.4 | | Cognitive factors | | | | | Hazard belief | 0.2 | Mean (SD) | 9.15 (1.53) | | Outcome expectancy | 1.5 | Mean (SD) | 9.09 (1.65) | | Self-efficacy | 1.4 | Mean (SD) | 7.63 (1.67) | | Self-responsibility | 0.8 | Mean (SD) | 11.0 (1.34) | | Support from surroundings | 2.1 | Mean (SD) | 8.67 (1.71) |
| | Facility characteristics | | | | | Location of the facilities by the eight regional divisions | 0.6 | Hokkaido | 4.9 | | | | Tohoku | 6.8 | | | | Kanto | 22.2 | | | | Chubu | 20.6 | | | | Kansai | 15.4 | | | | Chugoku | 7.0 | | | | Shikoku | 5.6 | | | | Kyushu | 17.5 | | Founder and size | 1.2 | Public hospitals | 15.1 | | | | Private hospitals | 29.9 | | | | Clinics | 55.0 | | Number of total dialysis patients | 1.4 | First quartile: 60 or less patients | 27.3 | | | | Second quartile: 61–100 | 24.1 | | | | Third quartile: 101–160 | 24.7 | | | | Fourth quartile: above 160 | 23.9 |
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1)As cases with missing values were added under the “Others” category, the percentage of missing values was 0.
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