| Literature DB >> 30606173 |
Anne-Marie Bagnall1, Duncan Radley2, Rebecca Jones3, Paul Gately2, James Nobles4,5, Margie Van Dijk6, Jamie Blackshaw6, Sam Montel6, Pinki Sahota7.
Abstract
BACKGROUND: Increasing awareness of the complexity of public health problems, including obesity, has led to growing interest in whole systems approaches (WSAs), defined as those that consider the multifactorial drivers of overweight and obesity, involve transformative co-ordinated action across a broad range of disciplines and stakeholders, operate across all levels of governance and throughout the life course. This paper reports a systematic review of WSAs targeting obesity and other complex public health and societal issues, such as healthy lifestyles for prevention of non-communicable disease.Entities:
Keywords: Complexity; Obesity; Public health; Systematic review; Systems science; Whole systems approaches
Mesh:
Year: 2019 PMID: 30606173 PMCID: PMC6318991 DOI: 10.1186/s12889-018-6274-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
10 features of a systems approach to tackle public health problems, adapted from NICE [9] and Garside et al. [5]
|
| Explicit recognition of the public health system with the interacting, self-regulating and evolving elements of a complex adaptive system. Recognition given that a wide range of bodies with no overt interest or objectives referring to public health may have a role in the system and therefore that the boundaries of the system may be broad. |
|
| An explicit goal to support communities and organisations within the system. |
|
| Mechanisms to support and encourage local creativity and/ or innovation to address public health and social problems. |
|
| Methods of working and specific activities to develop and maintain effective relationships within and between organisations. |
|
| Clear methods to enhance the ability of people, organisations and sectors to engage community members in programme development and delivery. |
|
| Mechanisms to support communication between actors and organisations within the system. |
|
| Practices explicitly set out for public health and social improvement within organisations within the system. |
|
| Clear strategies to resource existing and new projects and staff. |
|
| Strong strategic support and appropriate resourcing developed at all levels. |
|
| Well-articulated methods to provide ongoing feedback into the system, to drive change to enhance effectiveness and acceptability. |
Inclusion criteria
| Inclusion criteria | Include | Exclude |
|---|---|---|
| Population | Any population where a WSA has been used, at local, regional, national and international level | |
| Intervention | WSAs, defined as those that: | • Multiagency partnership working across sectors e.g. health & social care, but not at more than one level; case management initiatives focused on individuals or individual families; |
| Comparator interventions | Any or none | |
| Outcomes | ||
|
| ||
| Study designs | ||
Fig. 1Study selection flow chart
Public health issue addressed in studies, by country
| Obesity | Healthy lifestyles | Smoking | Alcohol | Drugs | Diabetes | Cardiovascular disease | Falls prevention | Healthy weight gain in pregnancy | Chronic disease management | Other (domestic or alcohol related violence or disorder) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| USA & Canada | TOTAL = 12 | TOTAL = 8 | TOTAL = 7 | TOTAL = 2 | TOTAL = 2 | 1 nRCT [ | 1 MME [ | 1 MME [ | |||
| UK | TOTAL = 7 | TOTAL = 3 | 1 MME/ B&A [ | 1 nRCT [ | 1 Qual [ | 1 MME/ B&A [ | |||||
| Australia | TOTAL = 5 | ||||||||||
| Iran | 2 nRCT [ | ||||||||||
| Netherlands | 1 P cohort [ | 1 P cohort [ | |||||||||
| Sweden | 1 Qual [ | 1 Qual [ | |||||||||
| WHO Healthy Cities (Global) | TOTAL = 9 | ||||||||||
| WHO Healthy Cities (Spain) | 2 Qual [ | ||||||||||
| WHO Healthy Cities (Germany) | 1 MME [ | ||||||||||
| WHO Healthy Cities (Israel) | 1 Survey [ | ||||||||||
| Who Healthy Cities (Bangladesh) | 1 Qual [ | ||||||||||
| Other Global | 2 Qual [ |
MME Mixed methods evaluation, RCT Randomised controlled trial, nRCT Non randomised controlled trial, Qual Qualitative or case study, CS Cross-sectional study, NAS Network analysis study, B&A Before and after study, Nat Exp Natural experiment, P cohort Prospective cohort study
Fig. 2Total number of WSA features met versus direction of health effects
Number of WSA criteria met versus direction of health effects
| Number of Criteria Met | Positive | Negative | Mixed |
|---|---|---|---|
| 8–10 (Systems embedded) | 13 | 0 | 3 |
| 4–7 (Systems moderately embedded) | 4 | 2 | 5 |
| 0–3 (Systems not embedded) | 5 | 0 | 2 |
Fisher’s exact test (df 4, chi-square value 6.645) p = 0.094
Fig. 3Individual WSA features met versus direction of health effects