The purpose of this study is to identify the effects of organizational climate on the retention and turnover of hospital employees, and to develop a theory to explain the relationship between the two. Semi-structured interviews were conducted with hospital employees (physicians, nurses, physical therapists, social workers, etc.) in Oita Prefecture. Categories and subcategories were generated from the data obtained from the interviews, and the relationship between each category was analyzed. Based on the semi-structured interviews with 27 staff members, three main categories (human relations among staff members, job satisfaction and skill development and life support systems, and climate of respect for others) were derived. The results of this study suggest that a good work environment can be created by the combination of staff interpersonal relationships, job satisfaction and two support systems with a climate of respect, which leads to lower staff turnover and higher retention rates.

We conducted text analysis using minutes from the Tokyo metropolitan government’s working group for home care in search of problems that are related to home care.

Text data was analyzed by using KH Coder. Co-occurrence network was created with the extracted words. Correspondence analysis was done by the year and area the working group took place. We derived the proportion of sentences including words related to “death” by area of working group and compared it with data related to home care.

Correspondence analysis showed that discussions reflected the predetermined themes for each year. In the co-occurrence network, extracted words could be divided into 10 groups, that were included in remarks describing the roles of hospitals and doctors in the area, cooperation between health care and long-term care, support for hospital admissions and discharges. Words that were characteristic for each area could be found by correspondence analysis. Words related to “death” were most frequent in the Nishitama area.

By text analysis of minutes from the Tokyo metropolitan government’s working group for home care, characteristic words could be identified and problems related to home care in the areas were considered. Text analysis showed the potential for its usefulness in visually and quantitatively understanding the overall view and course of discussions.