Health Promotion often deals with complex issues that are multi-factorial and multi-level such as malnutrition, maternal mortality and non-communicable diseases. In theory, health promotion boasts of using ecological and holistic approaches to improving public health but in practice, health promotion is dominated by the medical model (linear causal view) (1, 2) despite repeated calls for a more comprehensive approach (3, 4). Approaches to health promotion based on the medical model have merits but their sustainability and benefits to human development have time and again been questioned (2, 5, 6). For example, there have been significant achievements in the reduction of mortality for mothers, newborns and children in developing countries due to simple technological interventions (7, 8). However, at the same time, the problem of noncommunicable disease is growing rapidly (9). Further, underlying root causes of public health problems such as poverty, access to quality health services and the empowerment of women remain unresolved. The lack of progress in addressing the root cause of complex health problems indicates that our existing approaches are failing and needs an alternative way of thinking. Systems science based thinking could provide appropriate scientific foundation for health promotion discipline to address complex health problems and its root causes (10, 11). In this short essay, we will explain why health promotion, as a discipline needs to bring system science perspective to deal with the multitude of health problems that developed and developing countries are facing alike. First, let us understand what a complex system is and how systems thinking can be applied to it. A system is a congregation of the elements or structure which are interlinked with each other exhibiting an emergent behaviour over time (12). So, basically a system has three main aspects: structure, behaviour and interconnections. A complex system is composed of multiple elements operating at multiple levels with multiple interconnections and multiple emergent behaviours (13). Some key attributes of complex system include that they are self-organizing, dynamic, non-linear, governed by feedback, history-dependent and resistant to change (14). Social systems can be considered a complex system of human interrelationship with multiple structures interacting and influencing each other resulting in certain way of behaviour (13, 15-17). A systems view sees public health problems like non-communicable diseases, maternal and newborn mortality and malnutrition as an undesirable behaviour being generated from the interaction and functioning of social system structures (10, 16). System thinking can be utilized both to understand the complex public health problems like NCD and identify strategies to mitigate the undesirable behaviour by actions on interconnections and structure. In the discipline of health promotion, the chorus is getting louder for utilising “systems science” due to the alignment of the epistemological and methodological stances of health promotion (11). Epistemologically, system science recognises the dynamic, non-linear and reflexive behaviour of social systems and takes a relativistic, subjective and critical viewpoint towards establishing a truth. This is consistent with health promotion discipline which emphasize on participatory and empowering approach (thus value-laden) to health improvement in a complex social setting. Methodologically, system science emphasizes mixed-method approaches to better understand the complexity of an issue. This also sits comfortably with the transdisciplinary nature of health promotion discipline. Common systems science methods applied in the public health field include agent based modelling, network analysis and system dynamics (18). They utilize the mixed-method approach for the synthesis and analysis of causal factors. One prominent systems thinker, in particular, has emphasized methodological pluralism in order to understand the complex dynamics of public health problems within a context (19). System thinkers should not be bounded by limited methods but continually strive to utilize multi-disciplinary approaches to understand complex reality. For example, system dynamics method (primarily a quantitative approach) is often combined with qualitative research strategies for improving research design and scientific reasoning of complex issues (20-22). Systems thinking is proving to be a promising approach to understanding and dealing with complex public health problems where interactions are key (23, 24). Just like the popular story of “Five blind men and the perception of the elephant’s body” where there is need for a comprehensive approach like systems thinking that could connect the incorrect mental models of each of the blind men and assist in developing a holistic shape of the elephant that reflects the reality. World Health Organization has developed the
[1]
P. Byass.
Systems thinking for health systems strengthening
,
2011
.
[2]
R. Sawyer.
Social Emergence: Societies As Complex Systems
,
2005
.
[3]
H Apel,et al.
[The WHO/UNICEF Conference on Primary Health Care, Alma-Ata, September 6-12, 1978].
,
1979,
Zeitschrift fur die gesamte Hygiene und ihre Grenzgebiete.
[4]
L. Noguchi,et al.
Evidence-based, cost-effective interventions, G.L. Darmstadt, Z.A. Bhutta, S. Cousens, T. Adam, N. Walker, L. Bernis, in: Lancet, 365. (2005), 2
,
2005
.
[5]
L. Richard,et al.
Complexity: a potential paradigm for a health promotion discipline.
,
2014,
Health promotion international.
[6]
D. Luke,et al.
Systems science methods in public health: dynamics, networks, and agents.
,
2012,
Annual review of public health.
[7]
D. Finegood.
The Complex Systems Science of Obesity
,
2011
.
[8]
A. Matheson.
Reducing social inequalities in obesity: complexity and power relationships.
,
2016,
Journal of public health.
[9]
J Swanson,et al.
Business Dynamics—Systems Thinking and Modeling for a Complex World
,
2002,
J. Oper. Res. Soc..
[10]
Rainu Kaushal,et al.
A system dynamics evaluation model: implementation of health information exchange for public health reporting.
,
2013,
Journal of the American Medical Informatics Association : JAMIA.
[11]
Jinesh Patel,et al.
The Bill & Melinda Gates Foundation's grant-making programme for global health
,
2009,
The Lancet.
[12]
Taghreed Adam,et al.
Evidence-based, cost-effective interventions: how many newborn babies can we save?
,
2005,
The Lancet.
[13]
Rosalind Stanwell-Smith,et al.
Public Health at the Crossroads: Achievements and Prospects
,
1997
.
[14]
J. Sallis,et al.
Ecological models of health behavior.
,
2008
.
[15]
W. Livingood,et al.
Opening a Window on Systems Science Research in Health Promotion and Public Health
,
2013,
Health education & behavior : the official publication of the Society for Public Health Education.
[16]
J. Homer,et al.
System dynamics modeling for public health: background and opportunities.
,
2006,
American journal of public health.
[17]
Lawrence W Green,et al.
Public health asks of systems science: to advance our evidence-based practice, can you help us get more practice-based evidence?
,
2006,
American journal of public health.
[18]
Petra Wächter.
Thinking in systems – a primer
,
2011
.
[19]
M. Cueto,et al.
The origins of primary health care and selective primary health care.
,
2004,
American journal of public health.
[20]
O. Solar,et al.
A conceptual framework for action on the social determinants of health.
,
2007
.
[21]
Diana Wright,et al.
Thinking in systems: a primer
,
2012
.
[22]
G. Midgley.
Systemic intervention for public health.
,
2006,
American journal of public health.
[23]
G. Midgley.
Systemic Intervention: Philosophy, Methodology, and Practice
,
2000
.
[24]
A. Roux.
Integrating social and biologic factors in health research : A systems view
,
2007
.
[25]
Agnes Semwanga Rwashana,et al.
System dynamics approach to immunization healthcare issues in developing countries: a case study of Uganda
,
2009,
Health Informatics J..
[26]
R. Costanza.
Limits to growth: The 30-year update
,
2006
.