| Literature DB >> 30782888 |
Tine Van Bortel1,2, Nuwan Darshana Wickramasinghe2,3, Antony Morgan4, Steven Martin1,2.
Abstract
OBJECTIVE: To provide an up-to-date overview of health assets in a global context both from a theoretical perspective and its practical applications to address health inequalities and achieve sustainable health.Entities:
Keywords: asset-based approach; health asset; health promotion; positive health; systematic review
Mesh:
Year: 2019 PMID: 30782888 PMCID: PMC6367963 DOI: 10.1136/bmjopen-2018-023810
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flow diagram of article selection. AHEAD, Asset and Health Dynamics Among the Oldest Old.
Included studies by WHO region and country
| Research by WHO regions | |
| European region (n=192, 40.2%) | |
| UK | n=148 |
| Spain | n=13 |
| Norway | n=8 |
| Germany | n=6 |
| Sweden | n=5 |
| The Netherlands | n=3 |
| Greece/Romania | n=2 |
| Finland/Hungary/Israel/Portugal/Switzerland | n=1 |
| Region of the Americas (n=119, 24.9%) | |
| USA | n=100 |
| Canada | n=11 |
| Brazil | n=3 |
| Argentina/Columbia/Guatemala/Paraguay/Latin America | n=1 |
| African region (n=62, 13.0%) | |
| South Africa | n=22 |
| Africa (not specified) | n=19 |
| Nigeria | n=4 |
| Sub-Saharan Africa/Zambia | n=3 |
| Benin/Ghana | n=2 |
| Angola/East Africa/Kenya/Swaziland/Tanzania/Uganda/West Africa | n=1 |
| Western Pacific region (n=9, 1.9%) | |
| Australia | n=3 |
| Cambodia | n=2 |
| Malaysia/New Zealand/South Korea/Taiwan | n=1 |
| South-East Asia region (n=4, 0.8%) | |
| India/Indonesia | n=2 |
| Eastern Mediterranean region (n=2, 0.4%) | |
| Afghanistan/Iran | n=1 |
| International (n=78, 16.3%) | |
| Unreported or unclear (n=12, 2.5%) | |
Different health assets of the included studies by WHO region
| Type of assets | WHO region | ||||||||
| European region | Region of the Americas | African region | Western Pacific region | South -East Asia region | Eastern Mediterranean region | International | Unreported or unclear | Total | |
| ‘Health assets’, ‘assets’ or an ‘asset-based approach’ in a health context | 153 (48.4%) | 63 (19.9%) | 28 (8.9%) | 8 (2.5%) | 4 (1.3%) | – | 51 (16.1%) | 9 (2.8%) | 316 (100.0%) |
| Community assets | 10 (43.5%) | 9 (39.1%) | 1 (4.3%) | – | – | – | 2 (8.7%) | 1 (4.3%) | 23 (100.0%) |
| Individual assets | 7 (25.0%) | 14 (50.0%) | – | 1 (3.6%) | – | 1 (3.6%) | 5 (17.9%) | – | 28 (100.0%) |
| Religious health assets, or religion | 1 (2.3%) | 5 (11.6%) | 29 (67.4%) | – | – | – | 7 (16.3%) | 1 (2.3%) | 43 (100.0%) |
| Organisational assets | 5 (33.3%) | 8 (53.3%) | 1 (6.7%) | – | – | 1 (6.7%) | – | – | 15 (100.0%) |
| Resilience | 5 (45.5%) | 2 (18.2%) | 1 (9.1%) | – | – | – | 3 (27.3%) | – | 11 (100.0%) |
| Asset mapping | 7 (25.0%) | 13 (46.4%) | 1 (3.6%) | – | – | – | 6 (21.4%) | 1 (3.6%) | 28 (100.0%) |
| Co-production | 1 (33.3%) | – | – | – | – | – | 2 (66.7%) | – | 3 (100.0%) |
| Cultural assets | – | 2 (100.0%) | – | – | – | – | – | – | 2 (100.0%) |
| Not defined or unclear | 3 (33.3%) | 3 (33.3%) | 1 (11.1%) | – | – | – | 2 (22.2%) | – | 9 (100.0%) |
Different health assets of the included studies by age categories
| Type of assets | Age categories | ||||||
| Mixed age group | Young people | Adults | Older people | Not applicable | Not reported/unclear | Total | |
| ‘Health assets’, ‘assets’ or an ‘asset-approach’ in a health context | 165 (52.2%) | 47 (14.9%) | 28 (8.9%) | 15 (4.7%) | 44 (13.9%) | 17 (5.4%) | 316 (100.0%) |
| Community assets | 11 (47.8%) | 3 (13.0%) | 5 (21.7%) | 1 (4.3%) | 3 (13.0%) | – | 23 (100.0%) |
| Individual assets | 9 (32.1%) | 12 (42.9%) | 2 (7.1%) | 1 (3.6%) | 3 (10.7%) | 1 (3.6%) | 28 (100.0%) |
| Religious health assets, or religion | 35 (81.4%) | 1 (2.3%) | – | – | 6 (14.0%) | 1 (2.3%) | 43 (100.0%) |
| Organisational assets | 7 (46.7%) | 1 (6.7%) | – | – | 6 (40.0%) | 1 (6.7%) | 15 (100.0%) |
| Resilience | 9 (81.8%) | 2 (18.2%) | – | – | – | – | 11 (100.0%) |
| Asset mapping | 17 (60.7%) | 3 (10.7%) | – | 3 (10.7%) | 5 (17.9%) | – | 28 (100.0%) |
| Co-production | 2 (66.7%) | – | 1 (33.3%) | – | – | – | 3 (100.0%) |
| Cultural assets | – | 2 (100.0%) | – | – | – | – | 2 (100.0%) |
| Not defined or unclear | 6 (66.7%) | 1 (11.1%) | – | – | – | 2 (22.2%) | 9 (100.0%) |
Study setting of the included studies by WHO region
| Settings | WHO region | ||||||||
| European region | Region of the Americas | African region | Western Pacific region | South-East Asia region | Eastern Mediterranean region | International | Unreported or unclear | Total | |
| Community | 107 (37.2%) | 76 (26.4%) | 49 (17.0%) | 4 (1.4%) | 3 (1.0%) | – | 42 (14.6%) | 7 (2.4%) | 288 (100.0%) |
| Clinical or a care setting | 40 (50.6%) | 15 (19.0%) | 4 (5.1%) | 3 (3.8%) | – | – | 16 (20.3%) | 1 (1.3%) | 79 (100.0%) |
| Educational settings (schools, universities) | 12 (36.4%) | 11 (33.3%) | 4 (12.1%) | 2 (6.1%) | – | 1 (3.0%) | 3 (9.1%) | – | 33 (100.0%) |
| Church | 2 (25.0%) | 2 (25.0%) | 4 (50.0%) | – | – | – | – | – | 8 (100.0%) |
| Industry/workplace | 3 (37.5%) | 4 (50.0%) | – | – | – | – | 1 (12.5%) | – | 8 (100.0%) |
| Mixed settings | 8 (57.1%) | 4 (28.6%) | – | – | – | – | 2 (14.3%) | – | 14 (100.0%) |
| Research settings | 2 (50.0%) | – | – | – | 1 (25.0%) | – | 1 (25.0%) | – | 4 (100.0%) |
| Policy and public sector | 2 (50.0%) | – | – | – | – | – | 2 (50.0%) | – | 4 (100.0%) |
| Military | – | 1 (100.0%) | – | – | – | 1 (100.0%) | – | – | 2 (100.0%) |
| Prisons | 1 (100.0%) | – | – | – | – | – | – | – | 1 (100.0%) |
| Slums | – | – | 1 (100.0%) | – | – | – | – | – | 1 (100.0%) |
| Social work | 2 (66.7%) | 1 (33.3%) | – | – | – | – | – | – | 3 (100.0%) |
| Youth detention centres | 1 (100.0%) | – | – | – | – | – | – | – | 1 (100.0%) |
| Marine ecosystems | – | – | – | – | – | – | 1 (100.0%) | – | 1 (100.0%) |
| No specific setting/unclear/setting was not applicable | 12 (38.7%) | 5 (16.1%) | – | – | – | – | 10 (32.3%) | 4 (12.9%) | 31 (100.0%) |
Interventions and approaches of the included studies by WHO region
| Interventions and approaches | WHO region | ||||||||
| European region | Region of the Americas | African region | Western Pacific region | South-East Asia region | Eastern Mediterranean region | International | Unreported or unclear | Total | |
| Asset approaches (including co-production) | 22 (43.1%) | 9 (17.6%) | 4 (7.8%) | 1 (2.0%) | 2 (3.9%) | – | 11 (21.6%) | 2 (3.9%) | 51 (100.0%) |
| Health promotion programmes | 19 (46.3%) | 13 (31.7%) | 3 (7.3%) | 2 (4.9%) | 1 (2.4%) | – | 3 (7.3%) | – | 41 (100.0%) |
| Asset mapping | 7 (24.1%) | 13 (44.8%) | 7 (24.1%) | – | – | – | 2 (6.9%) | – | 29 (100.0%) |
| Community assessment | 15 (71.4%) | 5 (23.8%) | – | – | – | – | – | 1 (4.8%) | 21 (100.0%) |
| Education and/or training | 5 (29.4%) | 9 (52.9%) | – | – | – | – | 3 (17.6%) | – | 17 (100.0%) |
| Changing policy and practice | 6 (50.0%) | 4 (33.3%) | 2 (16.7%) | – | – | – | – | – | 12 (100.0%) |
| Physical health and diet | 5 (50.0%) | 2 (20.0%) | – | 1 (10.0%) | – | – | 2 (20.0%) | – | 10 (100.0%) |
| Church or religion as an intervention | – | 1 (20.0%) | 3 (60.0%) | – | – | – | 1 (20.0%) | – | 5 (100.0%) |
| Photovoice | 1 (33.3%) | 2 (66.7%) | – | – | – | – | – | – | 3 (100.0%) |
| Unclear in describing the intervention or approach | 4 (36.4%) | – | – | – | – | 1 (9.1%) | 5 (45.5%) | 1 (9.1%) | 11 (100.0%) |
| Not applicable/appropriate | 108 (38.8%) | 61 (21.9%) | 43 (15.5%) | 5 (1.8%) | 1 (0.4%) | 1 (0.4%) | 51 (18.3%) | 8 (2.9%) | 278 (100.0%) |