Chapter Two. Research for public health and health promotion
Key points
• Nature of research
• Positivist and interpretivist paradigms
• Research for public health and health promotion:
– Lived experience
– Participatory research
– Mixed methods research
• Using research in practice
OVERVIEW
Research is a link between theory and practice. It should, and does, inform practice, but using such knowledge and applying it can be difficult. The greater emphasis on accountability in the NHS has led to calls for practice to become more evidence based and, therefore, for practitioners to develop skills in conducting and appraising research. Evidence-based practice is the subject of Chapter 3. This chapter looks at the nature of the research that informs public health and health promotion, and argues that such research should contribute towards tackling the social causes of ill health and disease. This suggests the need for research that is qualitative (explores people’s lived experience and understanding of their own health) and participatory (uses research methods that involve both the researchers and the researched working together). The chapter concludes by looking at the ways in which practitioners can use research in practice.
Introduction
In Chapter 1, we discussed the importance of practitioners becoming critical and self aware. A reflective practitioner will be looking closely at his/her professional practice, asking ‘what is the best way of doing this?’ or ‘why do we do it this way?’. It may be that a practitioner acts on the basis of tradition or an intuitive ‘knowing in action’ which derives from experience (Schon 1983) but a reflective practitioner will wish to be informed about his decisions.
The shift from an occupation to a profession, which has taken place in nursing and multidisciplinary public health, is characterized by an increased focus on research as the foundation for professional knowledge and practice. There is considerable pressure for all health and social care practitioners to be aware of relevant research and to base their practice on research findings. Practitioners may be aware of this, yet be unable to pinpoint any specific relevant findings. This may be because practitioners are not aware of the relevant research journals, or are unable to access journals and conferences, or lack the opportunity, skills and time to keep up-to-date with research. The weight of new information, even though it may be more readily available through the internet, means practitioners may suffer from information overload and be unable to sift out what is useful and relevant. Practitioners may not use research because they lack the critical appraisal skills and confidence to assess the quality and relevance of published studies. Practitioners may also be sceptical of the value of research because it is difficult to institute any change in their practice or organization.
The following practitioners, when asked to identify research that had made an impact on them, were all able to cite a particular study:
Paula, a nurse
‘Marmot’s (2003) research into social status and health made me realize how important it is for people to feel in control of their lives and exercise autonomy. Instead of going in and telling people what to do, I now make time to find out their priorities and preference, and work together with them to achieve their goals.’
Penny, a health visitor
‘I read Putnam’s (2000) book on holiday, and the notion that social capital could be linked to health was an eye opener for me. The fact that improving community relationships and trust had a direct and positive effect on life expectancy and infant mortality, meant I could justify working with communities and this could become a legitimate part of my work.’
Peter, a health promotion specialist
‘I remember reading the official report on tackling inequalities in health (DH 2003) and being so relieved to know that this was a national priority, and that proper resources were going to be allocated to it. And then reading the progress report (DH 2008), and realizing there was still so far to go. It made me think twice about the need to target and prioritize messages about healthy lifestyles like healthy nutrition, physical activity and stopping smoking. It made me consider how to promote healthier lifestyles to people whose living conditions make it difficult for them to change.’
Pat, a teacher and counsellor
‘When I first came across Mellanby et al’s (2000) review of research indicating that peer education was at least as effective – and maybe more effective – than teachers, it gave me lots of food for thought. Apart from it ringing true – after all, that’s how I learnt about sex when I was a teenager – it made me think about developing peer education programmes about personal relationships, instead of giving the usual “I’m the expert, here’s the information” talk about sex and personal relationships.’
Few practitioners see research as an integral component of their practice. It is seen as ‘out there’, separate from the knowledge base that informs practice, which is often received wisdom passed on from practitioner to student. However, practitioners often have questions relating to their practice, which can be answered by appropriate research studies. Examples of practitioners’ questions include the Macmillan nurse who wants to know why women choose not to come for mammography screening, the health promotion specialist who wants to know whether a safety education programme for young children has made any difference to the accident rate, and the midwife who wants to find out the needs of prospective fathers from the antenatal services. If we see research as providing information to guide the planning and carrying out of interventions, then research ceases to be seen as a remote activity but becomes an extension of everyday work.
This chapter aims to help you reflect on what distinguishes research in public health and health promotion. It looks at the social context in which research for public health and health promotion takes place and the kind of information that informs practice. It is not a tool kit to make you a better researcher. Some excellent texts are recommended at the end of the chapter which can provide guided tours of research methods and the fine-tuning in using particular methods. Above all, being a researcher involves doing research and ‘getting your hands dirty’; it cannot be learnt from a book.
What do you think distinguishes research from everyday findings about things that interest you?
What is research?
Health promotion is based on theories about what influences people’s health and what are effective interventions or strategies to improve health. Such theories are based on research. The term ‘research’ refers to any systematic information-gathering activity used to describe, explain or explore an issue in order to generate new knowledge.
Research:
• is the investigation of the real world
• is informed by values about the issue under investigation
• follows agreed practices and ethical guidelines
• is guided by theory and assumptions about the presumed relations between different phenomena
• asks meaningful questions
• is systematic and rigorous
• is transparent.
There are several ways in which research informs public health and health promotion and contributes to its development. It may help, for example, to determine priorities for action from a seemingly endless list of possibilities. Epidemiological research or a needs assessment exercise may be the starting point for deciding which issues should be tackled. Evaluative research may determine the effectiveness or acceptability of particular interventions. A research audit may examine which resources and systems are in place for the purpose of improving the performance of an organization or project. Research can also support, challenge or generate new theory. The studies cited by the practitioners in the example above illustrate how research contributes to the body of knowledge informing public health and health promotion.
Research has achieved a much higher profile in health organizations in recent years. Policy, service provision and professional practice are expected to be based on evidence derived from rigorous research. For example, in 2009 NICE (National Institute for Health and Clinical Excellence) launched NHS Evidence, a web-based service disseminating research-based best practices (www.nice.org.uk). Professional judgement and the preferences of users and clients may also influence decision making but the cultural shift to evidence-based health care that is explored further in Chapter 3 represents a major challenge for practitioners. A large body of research for public health and health promotion derives from public health medicine and epidemiology. Epidemiology analyses patterns of disease and risk factors in populations, and seeks to identify and quantify the effect of different causal factors (genetic, lifestyle, environmental) on health.
Methods used by epidemiologists
• Cross-sectional studies to determine prevalence, or patterns of conditions, or behaviours in populations, or groups at one point in time – for example since 1991, there has been an annual Health Survey for England (National Centre for Social Research). In addition, every 2 years, a specific theme is identified for further study; for example in 2009, the theme was crime and safety.
• Case-control studies to investigate the causes of a condition by comparing a group with the condition with a control group – for example research into the effect of exposure to radon in homes on lung cancer rates in Europe (Darby et al 2005).
• Cohort or longitudinal studies to observe a group over time to see if there is any association between particular behaviours or characteristics and patterns of disease – for example the Framingham (Massachusetts) Heart Study began in 1948 and is now studying the third generation of participants. Many risk factors for heart disease linked to diet and exercise were identified in this study. More recently, data from this study have been used to study the link between social networking, happiness and health (Fowler and Christakis 2008).
• Randomized control trial (RCT) compares a group experiencing an intervention with a similar control group which does not – for example an RCT of a workplace health promotion programme in Norway (Tveito and Eriksen 2009) found that, whilst there were no statistically significant effects on sick leave rates or health-related quality of life, the intervention group reported significant positive effects on well-being and work experience.
Epidemiology is generally acknowledged as a core scientific method underpinning public health. For example, the Whitehall I study tracked a large cohort of 18,000 men employed in the Civil Service since 1967, and has been influential in establishing the link between social status and health (Marmot et al 1984). The Whitehall II study has followed up a cohort of 10,308 male and female civil servants since 1985. The Whitehall II study found no diminution in the links between social status and health (Marmot et al 1991), and is now examining inequalities in health in an ageing population (Adler et al., 2008 and Britton et al., 2008).
The uses of epidemiology
• To observe the effects of social factors on health – for example linking the rise in the number of cars on the road with the incidence of asthma.
• To provide a ‘map’ of the distribution and size of health problems in the population – for example infant mortality rate being distributed unequally among social classes.
• To estimate the risks to an individual of suffering a disease – for example the risk to a post-menopausal woman taking hormone replacement therapy, of contracting breast cancer.
• To assess the operation of services and the extent to which they meet the population’s needs – for example the take-up rate for the breast cancer screening programme and the effect on breast cancer incidence and outcomes.
Epidemiology therefore has many uses to public health and health promotion; however, it is not the sole means of acquiring information and knowledge. As with all research, epidemiological findings need to be interpreted within the specific theoretical framework in which they are grounded. Epidemiology reflects the dominance of the medical science paradigm. This approach seeks to identify the risk factors of disease and is informed by a belief that research needs to be objective and scientific.
Positivist and interpretivist paradigms
Knowledge is structured by the context in which a question is framed and the methods used to obtain, analyse and interpret data. The same topic can give rise to many different questions and thus be investigated from many different angles. The dominant research tradition in health and social care derives from a positivist approach which uses the methods and principles of the natural sciences. Positivism is based on the premise that there are objectively real phenomena or ‘facts’ which can be studied in a neutral scientific manner. However, this claim for objective neutrality has been questioned and it has been asserted that all knowledge production is influenced by values, ideologies and funders’ agendas.
In contrast to positivism, the interpretivist tradition aims to explore and describe the meaning of phenomena as experienced and perceived by the individual person or people. This tradition derives from the concern of social sciences to understand the subjective meaning of human experience, which in turn rests on the premise that reality is a social construct that is always mediated by subjective meanings and contexts. Resulting knowledge is therefore always contextual and never absolute. The difference between these two approaches to research and knowledge is illustrated in the following example.
Positivist and interpretivist research into ageing
Ageing is an important issue in the developed world, largely because a rapidly ageing population means an increase in the costs of providing medical and social care.
Positivist research views ageing as a real phenomenon, measurable through objective scientific tools, for example measurement of bone loss associated with the ageing process. Positivist research into caring for the elderly might produce projected population profiles and extrapolate the possible extent of certain age-related diseases (e.g. dementia, arthritis) in the future. Positivist research might also attempt to measure the projected costs of caring for an ageing population in the future. Research findings are viewed as objective and generalizable.
Interpretivist research, by contrast, seeks to explore the meanings and context of ageing amongst elderly and younger populations. Positive (e.g. wisdom) and negative (e.g. dependency) connotations of ageing might be identified and explored. The significance and meaning of ill health associated with ageing would be researched, and the factors that help or hinder people’s coping mechanisms (e.g. social networks, religious beliefs) might be studied. Research would study the perceived benefits (e.g. grandparents providing childcare for working parents) as well as the disadvantages of an ageing population. Research findings are specific to the population (in terms of gender, social class, ethnicity) being studied, although findings might be transferable to other similar populations.
Positivism is associated with quantitative research methods – the gathering of ‘hard’ data which can be quantified in some way. Quantitative research attempts to measure aspects of a phenomenon and explain any differences in variables between groups or over time. Quantitative research tests a hypothesis, which is a suggested explanation of why differences occur. The experiment is the main method. In experimental studies, one aspect in two matched groups is varied to see if it makes any difference to the result. Any difference can then be attributed to that variable. Randomized controlled trials, in which participants are randomly allocated to a control or experimental group, are used to assess the effectiveness of interventions. In research involving people and their lives, it is impossible to control for all the factors which may influence outcomes. There may also be ethical concerns about withholding a potentially beneficial intervention from one group of participants; or conversely of carrying on with an intervention that appears to be harmful. There is further discussion about the role of randomized controlled trials and their contribution to the understanding of the effectiveness of interventions in Chapter 3.
Randomized controlled trials of exercise-based cardiac rehabilitation programmes
A systematic review and meta-analysis of 48 randomized controlled trials investigating the impact of exercise-based cardiac rehabilitation programmes in patients with coronary heart disease was undertaken. Results showed that such programmes were associated with reduced all-cause mortality and reductions in some associated risk factors, for example cholesterol levels, systolic blood pressure, and smoking rates. The study concluded that exercise-based cardiac rehabilitation programmes had demonstrable benefits.
Interpretivism is associated with qualitative research methods which focus on understanding the ways in which an issue is perceived by the people whom it affects. Thoughts, feelings and meanings are viewed as real phenomena which can be studied by the researcher. Using methods such as interviews, observation and case studies the researcher can come to understand the perspective of the participants. In contrast to the positivist tradition, there is no assumption about what are the important phenomena which are then measured. Interpretivism gathers ‘rich’ data and then derives plausible theories and explanations from analysing that data. This approach has also been called ‘grounded theory’ (Glaser and Strauss 1986) because the mode of analysis (deriving codes and categories from the data until ‘saturation point’ is reached and no new codes or categories emerge) leads to theory that is grounded in, and emerges from, real life experience.
If we use the example of research into sexual health we can see how different paradigms or schools of thought determine what is to be studied. Most research into the spread of HIV/AIDS has been concerned with discovering the incidence, prevalence, and distribution of HIV in the population over time. By comparing the proportion of infected people engaging in different risk activities, attempts are made to correlate the risk of infection with behaviour. This knowledge can be used in the targeting and design of health education messages. Epidemiologists can also evaluate the effectiveness of health promotion activities by charting rates of HIV infection against interventions.
Gary Dowsett, who designed research programmes for the WHO Global Programme on AIDS, commented on the need for more close-focus research which looks at contexts and social situations in which people make sexual decisions:
Utilizing precious research resources to maximize the measurement of HIV infection and AIDS in any one country will not greatly enhance the prevention and care/support response. A less exact and more general idea of HIV/AIDS prevalence/incidence will, when coupled with a well-theorized understanding of sexual and drug use cultures or contexts, offer far more useful starting points for action than all the surveillance data in the world.
What contribution do you think qualitative research could make to HIV prevention?
Quantitative and qualitative research derive from different epistemological perspectives or views about the nature of knowledge and so are often presented as diametrically opposed. Table 2.1 summarizes the two philosophically divergent positions.
Quantitative | Qualitative | |
---|---|---|
Paradigm | Positivism | Interpretive/naturalistic |
Epistemological base | Science | Humanities |
Knowledge is part of an objective reality separate from individuals | Knowledge is based on how individuals perceive experiences through ‘individual lenses’ | |
Researcher’s role | Objectivity and detachment | Subjectivity and engagement |
Aim | To progress towards the truth and verify knowledge | To understand multiple realities |
Purpose | To understand causality | To interpret and reveal complexity |
Methodology | To isolate and study discrete variables, for example experimental study | To understand the issue in context, for example ethnography, phenomenology |
Methods | Less detailed information from larger number of participants, for example questionnaire | More detailed information from smaller number of participants |
To measure size of an effect | To measure why effects occurred | |
Uses standardized measuring instruments | Uses a variety of methods, for example interviewing focus groups to find out participants’ reality, concepts and meanings | |
Values | Validity, reliability | Validity, trustworthiness, credibility, confirmability, transparency |
Presentation | Analysis of numbers and systematic quantification and analysis | Analysis of words and meanings, for example thematic content analysis, discourse analysis |
Contribution to theory | Falsification (to disprove hypothesis) and test theory | To build theory, for example grounded theory emerges from the data |
Deductive | Inductive | |
Generalization | Understanding complexity |