| Literature DB >> 35162718 |
Sara Santini1, Marco Socci1, Paolo Fabbietti2, Giovanni Lamura1, Andrea Teti3.
Abstract
Population ageing and the higher prevalence of multimorbidity in later life are increasing the demand for Long-Term Care (LTC) worldwide; this has been exacerbated by the COVID-19 pandemic. As in Europe and beyond, the bulk of care for frail older people is carried out by informal caregivers. This study aimed at understanding the factors affecting the overall worsening health of informal caregivers of older people with LTC needs living in Germany and Italy during the outbreak. To this purpose, 319 informal caregivers (149 in Germany and 173 in Italy) were surveyed online in 2020-2021. A logistic regression analysis was performed by country, to obtain an adjusted estimate of the risk of worsening of caregivers' health. This risk increased by 42% for German caregivers compared to Italian ones, despite the former receiving more formal services. This may depend on different quality standards of LTC services and caregivers' expectations, and on differing policies concerning migrant care workers (MCWs) during the outbreak, who could not enter Germany and were "trapped" at care recipients' homes in Italy. Results call for in-home care reforms and policies guaranteeing more effective caregiver support, home care services and fairer working condition for MCWs in both countries.Entities:
Keywords: COVID-19 outbreak; Germany; Italy; Long-Term Care systems; elder care; formal care services; health; informal caregivers; older people
Mesh:
Year: 2022 PMID: 35162718 PMCID: PMC8835160 DOI: 10.3390/ijerph19031694
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Informal caregivers’ description and living arrangement.
| Total ( | Germany | Italy |
| |
|---|---|---|---|---|
|
| ||||
| Gender | 0.031 | |||
| Male | 51 (16.04%) | 15 (10.27%) | 36 (20.93) | |
| Female | 264 (83.02%) | 130 (89.04%) | 134 (77.9%) | |
| Prefer not to say | 3 (0.94%) | 1 (0.68%) | 2 (1.16%) | |
| Mean age | 55.4 ± 11.8 | 55.6 ± 11.4 | 55.2 ± 12.2 | 0.766 |
| Educational level | 0.000 | |||
| Primary education | 9 (2.82%) | 6 (4.11%) | 3 (1.73%) | |
| Lower secondary education | 51 (15.99%) | 39 (26.71%) | 12 (6.94%) | |
| Upper secondary education | 114 (35.74%) | 38 (26.03%) | 76 (43.93) | |
| Tertiary education | 145 (45.45%) | 63 (43.15%) | 82 (47.4%) | |
| Caring for | 0.117 | |||
| Grandparent/parent/parent-in-law | 226 (70.8%) | 97 (66.4%) | 129 (74.6%) | 0.112 |
| Spouse/Partner | 59 (18.5%) | 36 (24.7%) | 23 (13.3%) | 0.009 |
| Other (e.g., friend, neightbour, ex-spouse/partner) | 23 (7.2%) | 9 (6.2%) | 14 (8.1%) | 0.507 |
| Uncle/Aunt | 7 (2.2%) | 3 (2.1%) | 4 (2.3%) | 0.876 |
| Brother/Sister or Brother/Sister-in-law | 4 (1.3%) | 1 (0.7%) | 3 (1.7%) | 0.401 |
| Living arrangement in relation to the care recipient | 0.015 | |||
| In the same household | 128 (40.25%) | 57 (39.04%) | 71 (41.28%) | |
| In different household but in the same building | 47 (14.78%) | 22 (15.07%) | 25 (14.53%) | |
| Within walking distance | 43 (13.52%) | 14 (9.59%) | 29 (16.86%) | |
| Not within walking distance but less than 30 min one-way travel | 69 (21.7%) | 30 (20.55%) | 39 (22.67%) | |
| Between 30 min and one hour travelling | 18 (5.66%) | 13 (8.9%) | 5 (2.91%) | |
| Between one and three hours travelling | 7 (2.2%) | 4 (2.74%) | 3 (1.74%) | |
| Between three and five hours travelling | 6 (1.89%) | 6 (4.11%) | 0 (0%) | |
| Mean hours of care provided per week before the COVID-19 outbreak | 36.9 ± 50.9 | 32.4 ± 37.5 | 40.7 ± 59.8 | 0.154 |
| Mean hours of care provided per week during the COVID-19 outbreak | 45.6 ± 50.0 | 44.1 ± 44.8 | 46.8 ± 54.2 | 0.636 |
|
| ||||
| Gender | 0.029 | |||
| Male | 105 (33.1%) | 59 (40.7%) | 46 (26.7%) | |
| Female | 208 (65.6%) | 84 (57.9%) | 124 (72.1%) | |
| Prefer not to say | 4 (1.3%) | 2 (1.4%) | 2 (1.2%) | |
| Mean age | 81.2 ± 8.1 | 81.6 ± 8.3 | 80.9 ± 7.9 | 0.499 |
| Physical disabilities (caused, e.g., by frailty, accident, injury, illness) | 220 (73.1%) | 111 (79.3%) | 109 (67.7) | 0.024 |
| Psychological/mental health issues (e.g., depression, anxiety, etc.) | 191 (64.5%) | 93 (68.4%) | 98 (61.3%) | 0.201 |
| Cognitive impairments (e.g., Alzheimer’s, dementia, etc.) | 212 (70.9%) | 104 (74.8%) | 108 (67.5) | 0.165 |
| Neurological disability or learning difficulty (other than dementia and memory problems) | 98 (33.6%) | 45 (33.1%) | 53 (34%) | 0.873 |
| Other chronic illnesses (e.g., diabetes, heart disease, cancer, etc.) | 204 (68.7%) | 102 (75.6%) | 102 (63%) | 0.020 |
| Other long-term health conditions | 169 (57.7%) | 90 (68.7%) | 79 (48.8%) | 0.001 |
Formal supports received during the COVID-19 outbreak.
| Total | Germany | Italy |
| |
|---|---|---|---|---|
| Health care | 152 (48.9%) | 77 (53.8%) | 75 (44.6%) | 0.106 |
| Social care | 67 (21.9%) | 42 (29.8%) | 25 (15.2%) | 0.002 |
| Face-to-face help groups | 52 (16.9%) | 42 (29.2%) | 10 (6.1%) | 0.000 |
| Counselling/information via helplines and telephone services | 102 (32.8%) | 53 (37.1%) | 49 (29.2%) | 0.139 |
| Online support services (e.g., psychological/emotional support, etc.) | 47 (15.3%) | 19 (13.5%) | 28 (16.8%) | 0.424 |
| Practical help (e.g., preparing meals, laundry, housework, etc.) | 79 (25.5%) | 50 (35%) | 29 (17.4%) | 0.000 |
| Grocery/meal delivery at home | 72 (23.2%) | 48 (33.8%) | 24 (14.2%) | 0.000 |
| Medication/drug delivery at home | 93 (29.9%) | 63 (44.1%) | 30 (17.9%) | 0.000 |
| Transportation (e.g., to go to the General Practitioner, etc.) | 62 (19.8%) | 44 (30.8%) | 18 (10.6%) | 0.000 |
| Respite care/Relief services | 53 (17%) | 35 (24.5%) | 18 (10.7%) | 0.001 |
| Education and training | 35 (11.3%) | 16 (11.2%) | 19 (11.3%) | 0.973 |
| Financial support | 42 (13.5%) | 24 (16.7%) | 18 (10.8%) | 0.130 |
Very/extremely effective support providers during the pandemic.
| Typologies of Services | Total | Germany | Italy |
|
|---|---|---|---|---|
| Public health services/professionals | 42 (13.2%) | 25 (17.1%) | 17 (9.8%) | 0.000 |
| Public social services/professionals | 28 (8.8%) | 19 (13%) | 9 (5.3%) | 0.000 |
| Private care services/providers | 74 (23.5%) | 39 (26.9%) | 35 (20.6%) | 0.000 |
| Voluntary organisations | 19 (6%) | 2 (1.4%) | 17 (9.9%) | 0.000 |
| Friends/Neighbours | 75 (23.8%) | 40 (27.8%) | 35 (20.4%) | 0.000 |
| Migrant/private care workers | 52 (16.5%) | 5 (3.5%) | 47 (27.7%) | 0.000 |
| Carer/patient organisation(s) | 54 (17.5%) | 22 (22.2%) | 22 (13.7%) | 0.003 |
| General Practitioner | 86 (27.3%) | 42 (29%) | 44 (25.9%) | 0.010 |
| Family members | 128 (40.7%) | 71 (48.6%) | 57 (33.7%) | 0.013 |
| Church/Religious organisations | 19 (6%) | 11 (7.5%) | 8 (4.7%) | 0.029 |
| Pharmacies | 124 (39.8%) | 66 (45.8%) | 58 (34.7%) | 0.203 |
Difficulties faced by informal caregivers during the COVID-19 outbreak.
| Types of Difficulties | Total | Germany | Italy |
|
|---|---|---|---|---|
| I have experienced difficulties for MYSELF | 0.001 | |||
| 1-Almost always | 35 (11.2%) | 12 (8.4%) | 23 (13.5%) | |
| 2-Often | 64 (20.4%) | 20 (14%) | 44 (25.9%) | |
| 3-Sometimes | 97 (31%) | 42 (29.4%) | 55 (32.4%) | |
| 4-Seldom | 54 (17.3%) | 26 (18.2%) | 28 (16.5%) | |
| 5-Never/I have no other care recipient(s) | 63 (20.1%) | 43 (30.1%) | 20 (20.1%) | |
| I feel able to look after my own health and well-being | 0.000 | |||
| 1-Strongly agree | 54 (17%) | 27 (18.6%) | 27 (15.6%) | |
| 2-Quite agree | 107 (33.6%) | 34 (23.4%) | 73 (42.2%) | |
| 3-Undecided | 87 (27.4%) | 38 (26.2%) | 49 (28.3%) | |
| 4-Quite disagree | 51 (16%) | 30 (20.7%) | 21 (12.1%) | |
| 5-Strongly disagree | 19 (6%) | 16 (11%) | 3 (1.7%) | |
| I feel overwhelmed due to the COVID-19 outbreak | 0.001 | |||
| 1-Strongly agree | 66 ( 20.8%) | 26 (17.9%) | 40 (23.3%) | |
| 2-Quite agree | 83 (26.2%) | 27 (18.6%) | 56 (32.6%) | |
| 3-Undecided | 87 (27.4%) | 55 (37.9%) | 32 (18.6%) | |
| 4-Quite disagree | 60 (18.9%) | 28 (19.3%) | 32 (18.6%) | |
| 5-Strongly disagree | 21 (6.6%) | 9 (6.2%) | 12 (7%) |
Overall informal caregivers’ perceived health status and worsening predictors by country.
| Predictors | Worsened Overall Health Status OR (95%CI) | |||||
|---|---|---|---|---|---|---|
| Germany ( | Italy ( | |||||
| Improved/Not Changed Health ( | Worsened Health ( |
| Improved/Not Changed Health | Worsened Health ( |
| |
|
| ||||||
| Age | 53.2 ± 13.1 | 57.0 ± 9.5 | 0.050 | 55.2 ± 12.1 | 54.8 ± 12.0 | 0.814 |
| Gender (Female) | 53 (88.3%) | 76 (89.4%) | 0.838 | 69 (75.0%) | 65 (82.3%) | 0.249 |
| Educational level | 0.528 | 0.824 | ||||
| Primary education | 2 (3.3%) | 4 (4.7%) | 1 (1.1%) | 2 (2.5%) | ||
| Lower secondary education | 14 (23.3%) | 25 (29.4%) | 6 (6.5%) | 6 (7.6%) | ||
| Upper secondary education | 14 (23.3%) | 24 (28.2%) | 40 (43.0%) | 36 (45.6%) | ||
| Tertiary education | 30 (50.0%) | 32 (37.6%) | 46 (49.5%) | 35 (44.3) | ||
| Caregiving (Difference post–pre in hours of care) | 8.8 ± 20.9 | 13.9 ± 17.1 | 0.118 | 4.4 ± 31.4 | 10.7 ± 25.1 | 0.157 |
| Service provision (Continuity) | 41 (69.5%) | 52 (61.9%) | 0.349 | 66 (71.7%) | 58 (74.4%) | 0.702 |
| Formal social and health care services provision (Discontinuity) | 46 (78.0%) | 71 (83.5%) | 0.400 | 72 (79.1%) | 71 (91.0%) |
|
| Formal support effectiveness | 46 (76.7%) | 58 (68.2%) | 0.267 | 55 (59.1%) | 51 (64.6%) | 0.467 |
| Informal support effectiveness (at least 1 very/extremely) | 42 (70.0%) | 42 (49.4%) |
| 58 (62.4%) | 44 (56.4%) | 0.429 |
| Living condition | 0.077 | 0.072 | ||||
| Co-habiting | 25 (41.7%) | 53 (62.4%) | 45 (48.4%) | 50 (64.1%) | ||
| Walking distance | 6 (10.0%) | 8 (9.4%) | 20 (21.5%) | 9 (11.5%) | ||
| Within 1 h travel | 23 (38.3%) | 20 (23.5%) | 25 (26.9%) | 19 (24.4%) | ||
| More than 1 h travel | 6 (10.0%) | 4 (4.7%) | 3 (3.2%) | 0 (0.0%) | ||
| Caregiver Infection (“I have personally been infected”) | 3 (5.8%) | 9 (11.4%) | 0.275 | 7 (8.6%) | 14 (18.7%) | 0.067 |
|
| ||||||
| Psychological/mental health issues (e.g., depression, anxiety, etc.) | 29 (52.7%) | 64 (79.0%) |
| 45 (52.9%) | 52 (70.3%) |
|
| Neurological disability or learning difficulty (other than dementia and memory problems) | 14 (25.0%) | 31 (38.8%) | 0.094 | 21 (25.6%) | 31 (42.5%) |
|
“Bold” higlight the statistically significant differences.
Predictors of informal caregivers’ overall health status worsening by country.
| Worsened Overall Health Status OR (95%CI) | ||||||
|---|---|---|---|---|---|---|
| Germany | Italy | |||||
| Predictors | Crude Model | Age and Gender Adjusted Model | Fully adjusted Model * | Crude Model | Age and Gender Adjusted Model | Fully Adjusted Model ** |
|
| ||||||
| Age | 1.03 | 1.03 | 1.03 | 1.00 | 1.00 | 1.00 |
| Gender (Female) | 1.11 | 1.23 | 1.15 | 1.55 | 1.54 | 1.48 |
| Educational level | 0.531 | 0.599 | 0.832 | 0.780 | ||
| Primary education | - | - | - | - | ||
| Lower secondary education | 0.89 (0.14–5.50) | 1.15 (0.18–7.32) | 0.50 (0.03–7.10) | 0.38 (0.02–5.95) | ||
| Upper secondary education | 0.86 (0.14–5.29) | 1.29 (0.20–8.43) | 0.45 (0.04–5.17) | 0.30 (0.02–3.99) | ||
| Tertiary education | 0.53 (0.09–3.13) | 0.75 (0.12–4.65) | 0.38 (0.03–4.37) | 0.28 (0.02–3.72) | ||
| Caregiving (Difference post–pre in hours of care) | 1.02 | 1.02 | 1.01 | 1.01 | ||
| Service provision (Continuity) | 0.71 | 0.81 | 1.14 | 1.15 | ||
| Formal social and health service provision (Discontinuity) | 1.43 | 1.66 | 2.68 | 2.54 | ||
| Formal support effectiveness (at least 1 very/extremely) | 0.65 | 0.63 | 1.26 | 1.31 | ||
| Informal support effectiveness (at least 1 very/extremely) | 0.42 | 0.45 | 0.78 | 0.82 | ||
| Living condition | 0.083 | 0.075 | 0.230 | 0.263 | ||
| reference: | - | - | - | - | ||
| Walking distance | 0.63 | 0.69 | 0.40 | 0.40 | ||
| Within 1 h travel | 0.41 | 0.39 | 0.68 | 0.76 | ||
| More than 1 h travel | 0.31 | 0.32 | - | - | ||
| Caregiver Infection (“I have personally been infected”) | 2.10 | 1.81 | 2.43 | 2.64 | ||
|
| ||||||
| Psychological/mental health issues (e.g., depression, anxiety, etc.) | 3.37 | 3.14 | 2.10 | 1.99 | ||
| Neurological disability or learning difficulty (other than dementia and memory problems) | 1.89 | 1.85 | 2.14 | 1.86 | ||
Significant ORs in bold. * Cox and Snell R-square is 0.110. ** Cox and Snell R-square is 0.031.