| Literature DB >> 35847750 |
Abstract
Objective: In Japan, policies to ensure employment for persons aged 65 and older are being implemented. To facilitate the employment of older registered nurses working in hospitals, the understanding of registered nurses younger than 65 is necessary. We investigated the factors associated with the acceptance of employment of older registered nurses among registered nurses younger than 65. Materials andEntities:
Keywords: employment; hospitals; older registered nurses
Year: 2022 PMID: 35847750 PMCID: PMC9263954 DOI: 10.2185/jrm.2021-060
Source DB: PubMed Journal: J Rural Med ISSN: 1880-487X
Characteristics and distributions of “Acceptance of employing registered nurses aged 65–69”
| Variable | Acceptance of employing registered nurses aged 65–69 | Pearsonʼs correlation coefficient or Mann–Whitney U test | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Definitely disagree | Disagree | Somewhat disagree | Neither agree nor disagree | Somewhat agree | Agree | Definitely agree | Total | |||
| Age | ||||||||||
| 20–29 | 25 (2.0%) | 40 (3.3%) | 80 (6.5%) | 473 (38.7%) | 328 (26.8%) | 159 (13.0%) | 117 (9.6%) | 1,222 (100.0%) | ||
| 30–39 | 23 (2.4%) | 23 (2.4%) | 59 (6.1%) | 388 (39.8%) | 270 (27.7%) | 120 (12.3%) | 92 (9.4%) | 975 (100.0%) | –0.012 | |
| 40–49 | 33 (2.9%) | 42 (3.7%) | 59 (5.1%) | 415 (36.2%) | 325 (28.3%) | 147 (12.8%) | 126 (11.0%) | 1,147 (100.0%) | ||
| 50–59 | 32 (4.5%) | 25 (3.5%) | 30 (4.2%) | 277 (39.1%) | 193 (27.3%) | 88 (12.4%) | 63 (8.9%) | 708 (100.0%) | ||
| 60–64 | 1 (0.9%) | 5 (4.6%) | 4 (3.7%) | 38 (34.9%) | 24 (22.0%) | 20 (18.3%) | 17 (15.6%) | 109 (100.0%) | ||
| Employment status | ||||||||||
| Full-time worker | 103 (2.9%) | 121 (3.4%) | 205 (5.7%) | 1,393 (38.8%) | 982 (27.3%) | 443 (12.3%) | 344 (9.6%) | 3,591 (100.0%) | ||
| Part-time worker | 11 (1.9%) | 14 (2.5%) | 27 (4.7%) | 198 (34.7%) | 158 (27.7%) | 91 (16.0%) | 71 (12.5%) | 570 (100.0%) | ||
| Total | 114 (2.7%) | 135 (3.2%) | 232 (5.6%) | 1,591 (38.2%) | 1,140 (27.4%) | 534 (12.8%) | 415 (10.0%) | 4,161 (100.0%) | ||
Pearson’s correlation coefficient was calculated for age. The Mann–Whitney U test was conducted for employment status. For these analyses, concerning “Acceptance of employing registered nurses aged 65–69”, 1 to 7 points were given in the order from definitely disagree to definitely agree. Age was used as a continuous variable.
Characteristics and distributions of “Acceptance of employing registered nurses aged 70–74”
| Variable | Acceptance of employing registered nurses aged 70–74 | Pearsonʼs correlation coefficient or Mann–Whitney U test | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Definitely disagree | Disagree | Somewhat disagree | Neither agree nor disagree | Somewhat agree | Agree | Definitely agree | Total | |||
| Age | ||||||||||
| 20–29 | 32 (2.6%) | 48 (4.0%) | 83 (6.8%) | 499 (41.2%) | 296 (24.4%) | 143 (11.8%) | 111 (9.2%) | 1,212 (100.0%) | ||
| 30–39 | 32 (3.3%) | 34 (3.5%) | 80 (8.3%) | 428 (44.5%) | 213 (22.2%) | 95 (9.9%) | 79 (8.2%) | 961 (100.0%) | ||
| 40–49 | 51 (4.5%) | 54 (4.8%) | 80 (7.0%) | 478 (42.1%) | 260 (22.9%) | 112 (9.9%) | 101 (8.9%) | 1,136 (100.0%) | –0.074 | |
| 50–59 | 45 (6.4%) | 31 (4.4%) | 50 (7.2%) | 315 (45.1%) | 146 (20.9%) | 67 (9.6%) | 45 (6.4%) | 699 (100.0%) | ||
| 60–64 | 5 (4.6%) | 6 (5.6%) | 6 (5.6%) | 45 (41.7%) | 25 (23.1%) | 10 (9.3%) | 11 (10.2%) | 108 (100.0%) | ||
| Employment status | ||||||||||
| Full-time worker | 146 (4.1%) | 155 (4.4%) | 256 (7.2%) | 1,534 (43.1%) | 825 (23.2%) | 358 (10.1%) | 284 (8.0%) | 3,558 (100.0%) | ||
| Part-time worker | 19 (3.4%) | 18 (3.2%) | 43 (7.7%) | 231 (41.4%) | 115 (20.6%) | 69 (12.4%) | 63 (11.3%) | 558 (100.0%) | ||
| Total | 165 (4.0%) | 173 (4.2%) | 299 (7.3%) | 1,765 (42.9%) | 940 (22.8%) | 427 (10.4%) | 347 (8.4%) | 4,116 (100.0%) | ||
Pearson’s correlation coefficient was calculated for age. The Mann–Whitney U test was conducted for employment status. For these analyses, concerning “Acceptance of employing registered nurses aged 70–74”, 1 to 7 points were given in the order from definitely disagree to definitely agree. Age was used as a continuous variable.
Factor analysis of the respondents’ opinions on the employment of “Registered nurses aged 65–69” (n=4,161)
| Factor | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|
| 1. Health and job performance (Cronbach’s alpha = 0.902) | |||||
| 11. No physical health issues | –0.145 | –0.148 | 0.034 | ||
| 10. No mental health issues | –0.084 | –0.157 | 0.062 | ||
| 19. Ability to learn the procedures of new jobs quickly | 0.039 | 0.059 | –0.090 | ||
| 18. Ability to work without making mistakes | 0.108 | 0.148 | –0.022 | ||
| 20. Concentration on work | 0.142 | 0.140 | –0.044 | ||
| 9. Adequate physical strength | 0.074 | 0.049 | 0.100 | ||
| 12. Not causing work-related injuries | –0.093 | 0.160 | 0.048 | ||
| 17. Work efficiency | 0.155 | 0.373 | –0.035 | ||
| 2. Utilization of the knowledge and experience of older registered nurses (Cronbach’s alpha = 0.935) | |||||
| 3. Wisdom to develop the hospital | –0.017 | –0.041 | –0.021 | ||
| 2. Wisdom to raise the quality of healthcare | –0.054 | –0.022 | –0.013 | ||
| 4. Wisdom to improve operations in the workplace | 0.038 | –0.024 | 0.051 | ||
| 1. Opportunities to learn valuable life experiences | –0.085 | 0.051 | 0.049 | ||
| 3. Reducing the workload burden of registered nurses (Cronbach’s alpha = 0.944) | |||||
| 15. Reduction of fatigue of registered nurses younger than 65 | –0.044 | –0.042 | 0.030 | ||
| 14. Prevention of health impairment of registered nurses younger than 65 due to overwork | –0.035 | –0.033 | –0.016 | ||
| 13. Reduction of the workload of registered nurses younger than 65 | –0.051 | 0.038 | 0.017 | ||
| 16. Having free time | 0.047 | –0.011 | 0.026 | ||
| 4. Manners of older registered nurses (Cronbach’s alpha = 0.927) | |||||
| 7. Do not look down on registered nurses younger than 65 | –0.011 | –0.078 | 0.019 | ||
| 8. Respect for the opinions of registered nurses younger than 65 | –0.020 | 0.048 | 0.032 | ||
| 6. Politeness toward registered nurses younger than 65 | 0.039 | 0.055 | –0.013 | ||
| 5. No arrogance toward registered nurses younger than 65 | 0.084 | 0.068 | 0.005 | ||
| Interfactor correlations | |||||
| 1. Health and job performance | 1 | ||||
| 2. Utilization of the knowledge and experience of older registered nurses | 0.554 | 1 | |||
| 3. Reducing the workload burden of registered nurses | 0.697 | 0.658 | 1 | ||
| 4. Manners of older registered nurses | 0.595 | 0.574 | 0.560 | 1 | |
The registered nurses younger than 65 were asked about their opinions on the employment of registered nurses aged 65–69. See items 1–20 in Appendix 1 and the Methods section. Factor analysis (the principal factor method and promax rotation) of these opinions was conducted. The Cronbach’s alpha of each factor extracted by the factor analysis was also calculated. For items 1–20 in Appendix 1, 1 to 7 points were given in the order from definitely disagree to definitely agree. Bold numbers indicate factor loadings of ≥0.4.
Factor analysis of the respondents’ opinions on the employment of “Registered nurses aged 70–74” (n=4,116)
| Factor | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|
| 1. Health and job performance (Cronbach’s alpha = 0.904) | |||||
| 11. No physical health issues | –0.151 | –0.145 | 0.050 | ||
| 10. No mental health issues | –0.090 | –0.137 | 0.089 | ||
| 19. Ability to learn the procedures of new jobs quickly | 0.042 | 0.046 | –0.103 | ||
| 9. Adequate physical strength | 0.059 | 0.003 | 0.071 | ||
| 18. Ability to work without making mistakes | 0.117 | 0.141 | –0.044 | ||
| 20. Concentration on work | 0.151 | 0.130 | –0.042 | ||
| 12. Not causing work-related injuries | –0.094 | 0.169 | 0.054 | ||
| 17. Work efficiency | 0.148 | 0.362 | –0.046 | ||
| 2. Utilization of the knowledge and experience of older registered nurses (Cronbach’s alpha = 0.936) | |||||
| 3. Wisdom to develop the hospital | –0.037 | –0.049 | –0.009 | ||
| 2. Wisdom to raise the quality of healthcare | –0.053 | –0.026 | –0.009 | ||
| 4. Wisdom to improve operations in the workplace | 0.023 | –0.009 | 0.045 | ||
| 1. Opportunities to learn valuable life experiences | –0.044 | 0.064 | 0.049 | ||
| 3. Reducing the workload burden of registered nurses (Cronbach’s alpha = 0.947) | |||||
| 14. Prevention of health impairment of registered nurses younger than 65 due to overwork | –0.037 | –0.037 | –0.011 | ||
| 15. Reduction of fatigue of registered nurses younger than 65 | –0.043 | –0.032 | 0.027 | ||
| 13. Reduction of the workload of registered nurses younger than 65 | –0.022 | 0.045 | 0.014 | ||
| 16. Having free time | 0.037 | –0.009 | 0.042 | ||
| 4. Manners of older registered nurses (Cronbach’s alpha = 0.927) | |||||
| 7. Do not look down on registered nurses younger than 65 | –0.010 | –0.081 | 0.027 | ||
| 8. Respect for the opinions of registered nurses younger than 65 | –0.014 | 0.045 | 0.032 | ||
| 6. Politeness toward registered nurses younger than 65 | 0.049 | 0.063 | –0.016 | ||
| 5. No arrogance toward registered nurses younger than 65 | 0.076 | 0.076 | 0.010 | ||
| Interfactor correlations | |||||
| 1. Health and job performance | 1 | ||||
| 2. Utilization of the knowledge and experience of older registered nurses | 0.567 | 1 | |||
| 3. Reducing the workload burden of registered nurses | 0.699 | 0.663 | 1 | ||
| 4. Manners of older registered nurses | 0.570 | 0.549 | 0.544 | 1 | |
The registered nurses younger than 65 were asked about their opinions on the employment of registered nurses aged 70–74. See items 1–20 in Appendix 1 and the Methods section. Factor analysis (the principal factor method and promax rotation) of these opinions was conducted. The Cronbach’s alpha of each factor extracted by the factor analysis was also calculated. For items items 1–20 in Appendix 1, 1 to 7 points were given in the order from definitely disagree to definitely agree. Bold numbers indicate factor loadings of ≥0.4.
Factors associated with “Acceptance of employing registered nurses aged 65–69” (Statistical model 1, n=4,161)
| Variable | Pearsonʼs correlation coefficient | Standardized partial regression coefficient | ||
|---|---|---|---|---|
| Age | – | – | 0.003 | 0.742 |
| Employment status (full- or part-time worker) | – | – | –0.009 | 0.376 |
| 1. Health and job performance | 0.617 | <0.001 | 0.103 | <0.001 |
| 2. Utilization of the knowledge and experience of older registered nurses | 0.683 | <0.001 | 0.327 | <0.001 |
| 3. Reducing the workload burden of registered nurses | 0.728 | <0.001 | 0.421 | <0.001 |
| 4. Manners of older registered nurses | 0.523 | <0.001 | 0.011 | 0.419 |
To calculate standardized partial regression coefficients and Pearsonʼs correlation coefficients, the following system was used. Regarding “Acceptance of employing registered nurses aged 65–69”, 1 to 7 points were given in the order from definitely disagree to definitely agree. Age was a continuous variable. Regarding employment status, full-time worker was 1 and part-time worker was 0. For each factor, the factor scores were calculated and used for these analyses. See Table 3.
Factors associated with “Acceptance of employing registered nurses aged 70–74” (Statistical model 2, n=4,116)
| Variable | Pearsonʼs correlation coefficient | Standardized partial regression coefficient | ||
|---|---|---|---|---|
| Age | – | – | –0.019 | 0.080 |
| Employment status (full- or part-time worker) | – | – | –0.004 | 0.682 |
| 1. Health and job performance | 0.638 | <0.001 | 0.171 | <0.001 |
| 2. Utilization of the knowledge and experience of older registered nurses | 0.677 | <0.001 | 0.318 | <0.001 |
| 3. Reducing the workload burden of registered nurses | 0.716 | <0.001 | 0.376 | <0.001 |
| 4. Manners of older registered nurses | 0.492 | <0.001 | –0.009 | 0.508 |
To calculate standardized partial regression coefficients and Pearsonʼs correlation coefficients, the following system was used. Regarding “Acceptance of employing registered nurses aged 70–74”, 1 to 7 points were given in the order from definitely disagree to definitely agree. Age was a continuous variable. Concerning employment status, full-time worker was 1 and part-time worker was 0. For each factor, the factor scores were calculated and used for these analyses. See Table 4.