| Literature DB >> 32934785 |
Li Yang1, Hongmei Peng2, Yunfan Yang1, Linqi Ouyang1, Yunfeng Li3.
Abstract
Objective: In order to provide evidence for improving the quality of managers in elderly care institutions, this paper explored the situation of managers of elderly care institutions in a city in Central China under the national guidelines for the combination of medical and elderly health care. Design: A cross-sectional study carried out in a city in Central China was designed. Setting. The online questionnaire was distributed to the managers of six elderly care institutions in a city in Central China. Participants. The questionnaire was sent to 61 recipients; from this, 60 responses were obtained.Entities:
Year: 2020 PMID: 32934785 PMCID: PMC7484681 DOI: 10.1155/2020/8826007
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 2.682
Status of the managers of the elderly care institutions in a city in Central China (n = 60).
| Variables |
|
|---|---|
| Gender | |
| Women | 40 (66.67) |
| Men | 20 (33.33) |
|
| |
| Types of qualifications | |
| None | 6 (10.00) |
| Social workers | 1 (1.67) |
| Geriatric nurses | 44 (73.33) |
| Nurses | 3 (5.00) |
| Doctors | 1 (1.67) |
| Other professionals. | 5 (8.33) |
|
| |
| Exertion degree | |
| Exhausted | 50 (83.33) |
| General | 9 (15.00) |
| Easy | 1 (1.67) |
|
| |
| Household location | |
| Local countries | 14 (23.33) |
| Changde City | 42 (70.00) |
| Hunan province | 4 (6.67) |
| Other provinces | 0 (0.00) |
|
| |
| Education level | |
| Under middle school | 15 (25.00) |
| Middle school or high school | 24 (40.00) |
| Technical college | 16 (26.67) |
| University | 5 (8.33) |
| Master's degree or above | 0 (0.00) |
|
| |
| Current income (¥) | |
| <2000 | 2 (3.33) |
| 2000∼3000 | 35 (58.33) |
| 3000∼5000 | 22 (36.67) |
| >5000 | 1 (1.67) |
|
| |
| Professional affection | |
| Very satisfied | 28 (46.67) |
| Satisfied | 23 (38.33) |
| Dissatisfied | 9 (15.00) |
|
| |
| Postadaptability | |
| Very adaptable | 26 (43.33) |
| Adaptable | 29 (48.33) |
| General | 5 (8.33) |
| Uncomfortable | 0 (0.00) |
| Very uncomfortable | 0 (0.00) |
|
| |
| Job mobility | |
| Yes | 1 (1.67) |
| Not temporary | 38 (63.33) |
| No | 21 (35.00) |
| Daily sleep time | |
| <4 hr | 1 (1.67) |
| 4∼6 hr | 24 (40.00) |
| 7∼8 hr | 26 (43.33) |
| >8 hr | 9 (15.00) |
|
| |
| Expected income per month (¥) | |
| 2000∼2999 | 1 (1.67) |
| 3000∼3999 | 9 (15.00) |
| 4000∼4999 | 27 (45.00) |
| 5000∼5999 | 8 (13.33) |
| >6000 | 15 (25.00) |
|
| |
| Training (MCQ) | |
| Never | 3 (5.00) |
| In workplace | 42 (70.00) |
| Province or city level | 34 (56.67) |
| State level | 7 (11.67) |
|
| |
| Career growth space | |
| Little | 12 (20.00) |
| A little bit | 30 (50.00) |
| Large | 18 (30.00) |
|
| |
| Age (years old) | |
| <30 | 3 (5.00) |
| 31∼40 | 11 (18.33) |
| 41∼50 | 27 (45.00) |
| 51∼60 | 17 (28.33) |
| >60 | 2 (3.33) |
|
| |
| Type of training expected (MCQ) | |
| Communication | 39 (65.00) |
| Management and marketing | 31 (51.67) |
| Medical care | 30 (50.00) |
|
| |
| Years of management | |
| <2 | 22 (36.67) |
| 3∼5 | 22 (36.67) |
| 5∼10 | 7 (11.67) |
| >10 | 9 (15.00) |
|
| |
| Career prospects | |
| Not good, disrespectful | 2 (3.33) |
| Time needed to change | 15 (25.00) |
| Common | 6 (10.00) |
| Good | 22 (36.67) |
| Very fulfilling | 15 (25.00) |
Professional affection included professional identity, sense of honor, job satisfaction, and empathy.
Status of types of qualifications comparison across management years (n = 60%).
| Management years | None | Social workers | Geriatric nurses | Nurses | Doctors | Other | Total |
|---|---|---|---|---|---|---|---|
| <2 | 6 (27.27) | 0 (0.00) | 12 (54.55) | 3 (13.64) | 0 (0.00) | 1 (4.55) | 22 |
| 3∼5 | 0 (0.00) | 1 (4.55) | 18 (81.82) | 0 (0.00) | 1 (4.55) | 2 (9.09) | 22 |
| 5∼10 | 0 (0.00) | 0 (0.00) | 5 (0.00) | 0 (0.00) | 0 (0.00) | 2 (28.57) | 7 |
| >10 | 0 (0.00) | 0 (0.00) | 9 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 9 |
Fisher's exact test, P=0.0230.
Status of education level comparison across age (n = 60%).
| Age (years old) | Middle school | High school | Technical college graduate | University graduate | Master's degree or above | Total |
|---|---|---|---|---|---|---|
| <30 | 1 (33.33) | 0 (0.00) | 2 (66.67) | 0 (0.00) | 0 (0.00) | 3 |
| 31∼40 | 0 (0.00) | 5 (45.45) | 4 (36.36) | 2 (18.18) | 0 (0.00) | 11 |
| 41∼50 | 8 (29.63) | 11 (40.74) | 5 (18.52) | 3 (11.11) | 0 (0.00) | 27 |
| 51∼60 | 6 (35.29) | 8 (47.06) | 3 (17.65) | 0 (0.00) | 0 (0.00) | 17 |
| >60 | 0 (0.00) | 0 (0.00) | 2 (100) | 0 (0.00) | 0 (0.00) | 2 |
Fisher's exact test, P=0.0921.
Figure 1Status of training level comparison across education level.
Status of career rising space comparison across education level (n = 60%).
| Degree or certification | Little | A little bit | Large | Total |
|---|---|---|---|---|
| Under middle school | 8 (53.33) | 7 (46.67) | 0 (0.00) | 15 |
| Middle or high school | 2 (8.33) | 11 (45.83) | 11 (45.83) | 24 |
| Technical college | 2 (12.5) | 10 (62.5) | 4 (25.00) | 16 |
| University | 0 (0.00) | 2 (40.00) | 3 (60.00) | 5 |
| Master's degree or above | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 |
Fisher's exact test, P=0.0019.
Status of income comparison across education level (n = 60%).
| Degree or certification | <2000 | 2000∼3000 | 3000∼5000 | >5000 | Total |
|---|---|---|---|---|---|
| Under middle school | 1 (6.67) | 12 (80) | 2 (13.33) | 0 (0.00) | 15 |
| Middle or high school | 1 (4.17) | 12 (50.00) | 11 (45.83) | 0 (0.00) | 24 |
| Technical college | 0 (0.00) | 9 (56.25) | 6 (37.5) | 1 (6.25) | 16 |
| University | 0 (0.00) | 2 (40.00) | 3 (60.00) | 0 (0.00) | 5 |
| Master's degree or above | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 |
Fisher's exact test, P=0.2369.