| Literature DB >> 30383824 |
Qinqiuzi Yi1, Naohiro Hohashi1.
Abstract
It is generally agreed that healthcare workers are ideally positioned to recognize and diagnose cases of elder abuse. However, little is known about their knowledge and understanding of this issue. The objective of this study was to assess and compare the perceptions of different groups of healthcare workers toward elder abuse in Japan, using the Knowledge-Attitude-Behavior (KAB) model. Home-visit nurses, medical doctors, care managers, care workers, public health nurses, and social workers, with experience of dealing with elder abuse received self-administered questionnaire surveys that inquired regarding demographics, knowledge, attitudes, and behaviors regarding elder abuse. A total of 311 healthcare workers participated in this survey. To compare the differences among the groups, a one-way analysis of variance with a post-hoc Tukey's test, and a Kruskal-Wallis with post-hoc Steel-Dwass tests were used in accordance with data normality. Multiple linear regression analysis was conducted to explore variables that predicted the healthcare workers' perceptions, and covariance structure analysis was used to examine whether the KAB model can accurately predict healthcare workers' perceptions. Multiple comparisons showed significant differences in knowledge, attitudes, and behaviors regarding elder abuse among the abovementioned six groups. Age, sex, and years of work related to the care of elderly were extracted as significant determinants of healthcare workers' perceptions of elder abuse. The examination of the KAB model with covariance structure analysis yielded a model with strong goodness-of-fit. These findings emphasize the need to take effective measures to improve their perceptions as well as review the role of each healthcare worker so that they can be more concerned with and involved in the safeguarding of the elderly. Given the strong goodness-of-fit demonstrated by the KAB model, education of healthcare workers on both the knowledge of, and attitudes toward, elder abuse may help in improving healthcare workers' behavior in dealing with elder abuse.Entities:
Mesh:
Year: 2018 PMID: 30383824 PMCID: PMC6211737 DOI: 10.1371/journal.pone.0206640
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Study samples’ characteristics by occupational category (N = 311).
| Variable | Occupational category | Test statistics | ||||||
|---|---|---|---|---|---|---|---|---|
| All ( | HVN ( | MD ( | CM ( | CW ( | PHN ( | SW ( | ||
| Sex | χ2 = 112.2 | |||||||
| Male | 99 (31.9) | 1 (1.7) | 41 (93.2) | 10 (20.0) | 15 (31.9) | 7 (15.2) | 25 (39.7) | |
| Female | 211 (68.1) | 59 (98.3) | 3 (6.8) | 40 (80.0) | 32 (68.1) | 39 (84.3) | 38 (60.3) | |
| Age | 47.3 (11.0) | 47.9 (7.0) | 58.3 (9.0) | 51.1 (8.3) | 48.0 (10.1) | 40.8 (10.5) | 40.4 (10.7) | |
| Years of work related to care of the elderly | 13.2 (7.5) | 15.2 (7.5) | 17.1 (9.6) | 16.3 (5.1) | 13.7 (4.1) | 8.5 (6.6) | 9.1 (6.2) | χ2 = 65.9 |
| Total years of experience | 18.7 (9.7) | 22.7 (7.4) | 30.4 (9.4) | 17.9 (6.1) | 16.0 (7.5) | 14.3 (9.2) | 12.6 (7.4) | χ2 = 107.6 |
| Education level, | ||||||||
| Middle school graduate | 2 (0.6) | 0 (0) | 0 (0) | 1 (2.0) | 1 (2.1) | 0 (0) | 0 (0) | χ2 = 4.4 |
| High school graduate | 28 (9.0) | 1 (1.7) | 0 (0) | 8 (15.7) | 17 (36.2) | 0 (0) | 2 (3.2) | χ2 = 60.6 |
| Underwent occupational specialty training | 87 (28.0) | 47 (78.3) | 0 (0) | 11 (21.6) | 12 (25.5) | 11 (23.9) | 6 (9.5) | χ2 = 104.8*** |
| Junior college graduate | 43 (13.8) | 6 (10.0) | 0 (0) | 18 (35.3) | 8 (17.0) | 9 (19.6) | 2 (3.2) | χ2 = 35.2 |
| Four-year/Six-year university graduate | 134 (43.1) | 6 (10.0) | 30 (68.2) | 12 (23.5) | 9 (19.1) | 24 (52.2) | 53 (84.1) | χ2 = 101.8 |
| Master’s degree | 4 (1.3) | 0 (0) | 1 (2.3) | 1 (2.0) | 0 (0) | 2 (4.3) | 0 (0) | χ2 = 6.1 |
| Doctoral degree | 13 (4.2) | 0 (0) | 13 (29.5) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | χ2 = 82.3 |
| Attended courses on elder abuse | χ2 = 120.4 | |||||||
| No | 90 (29.1) | 29 (48.3) | 38 (86.4) | 3 (6.0) | 13 (27.7) | 3 (6.5) | 4 (6.5) | |
| Yes | 219 (70.9) | 31 (51.7) | 6 (13.6) | 47 (94.0) | 34 (72.3) | 43 (93.5) | 58 (93.5) | |
HVN, home-visit nurse; MD, medical doctor; CM, care manager; CW, care worker; PHN, public health nurse; SW, social worker.
***p < .000, Calculated using chi-squared test for categorical variables, one-way ANOVA or Kruskal-Wallis test for continuous variables.
a. One CM not included.
b. Two MDs not included.
c. One PHN not included.
d. One SW not included.
Differences in knowledge, attitudes, and behaviors regarding domestic elder abuse among healthcare workers (N = 311).
| Variable | Occupational category | Test statistics | |||||
|---|---|---|---|---|---|---|---|
| HVN | MD | CM | CW | PHN | SW | ||
| Knowledge | 22.8 (6.2) | 19.4 (6.1) | 25.6 (5.1) | 24.1 (6.0) | 28.1 (3.6) | 26.6 (5.1) | χ2 = 60.8 ( |
| HVN < PHN ( | MD < CM ( | CM > MD ( | CW > MD ( | PHN > HVN ( | SW > HVN ( | ||
| Attitudes | 95.0 (6.7) | 93.2 (6.4) | 97.0 (6.9) | 92.5 (6.9) | 101.4 (8.4) | 102.4 (8.1) | χ2 = 69.9 ( |
| HVN < PHN ( | MD < PHN ( | CM > CW ( | CW < CM ( | PHN > HVN ( | SW > HVN ( | ||
| Behaviors | 78.0 (29.7) | 76.8 (33.9) | 97.4 (25.2) | 70.2 (33.9) | 105.8 (20.5) | 110.6 (21.9) | |
| HVN < CM ( | MD < CM ( | CM > HVN ( | CW < CM ( | PHN > HVN ( | SW > HVN ( | ||
HVN, home-visit nurse; MD, medical doctor; CM, care manager; CW, care worker; PHN, public health nurse; SW, social worker.
a. Consisting of 60 HVNs, 44 MDs, 51 CMs, 47 CWs, 46 PHNs, and 63 SWs.
b. Differences in knowledge and attitudes were analyzed by Kruskal-Wallis and Steel-Dwass tests.
c. Difference in behaviors was analyzed by one-way ANOVA and Tukey’s tests.
Variables predicting healthcare workers’ knowledge, attitudes, and behaviors regarding domestic elder abuse (N = 302).
| Knowledge | Attitudes | Behaviors | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Independent variable | B | β | B | β | B | β | |||
| Age | -0.07 | -.13 | .034 | ||||||
| Sex (Reference: male) | 1.96 | .11 | .031 | ||||||
| Years of work related to care of elderly | 0.15 | .14 | .011 | 0.84 | .20 | < .001 | |||
| Occupation (Reference: MD) | |||||||||
| HVN | 2.92 | .19 | .010 | ||||||
| CM | 6.02 | .36 | < .001 | 3.64 | .16 | .003 | 22.33 | .26 | < .001 |
| CW | 4.26 | .26 | < .001 | ||||||
| PHN | 7.84 | .47 | < .001 | 8.56 | .37 | < .001 | 36.31 | .41 | < .001 |
| SW | 6.46 | .43 | < .001 | 9.96 | .49 | < .001 | 41.44 | .56 | < .001 |
| R2 | .24 ( | .26 ( | .28 ( | ||||||
HVN, home-visit nurse; MD, medical doctor; CM, care manager; CW, care worker; PHN, public health nurse; SW, social worker. Analyzed using stepwise multiple regression analyses.
a. Consisting of 60 HVNs, 42 MDs, 47 CMs, 47 CWs, 45 PHNs, and 61 SWs.
Fig 1Examination of the knowledge-attitude-behavior (KAB) model (N = 311)a.
Fit index: GFI = .99, AGFI = .96, RMSEA = .08, NFI = .95, CFI = .96. ***p < .001, e1 and e2 denote residual variance of the observed. a. Consisting of 60 home-visit nurses, 44 medical doctors, 51 care managers, 47 care workers, 46 public health nurses, and 63 social workers.