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General practitioners’ perceptions of and involvement in health behaviour change: can computer-tailored interventions help?

Published online by Cambridge University Press:  13 November 2014

Marilla Dickfos*
Affiliation:
Medical Student, University of Queensland, Herston, Queensland, Australia
David King
Affiliation:
Senior Lecturer, School of Medicine, The University of Queensland, Herston, Queensland, Australia
Sanjoti Parekh
Affiliation:
School of Population Health, The University of Queensland, Herston, Queensland, Australia
Frances M. Boyle
Affiliation:
Head of Social Science & Health Systems Group, School of Population Health, The University of Queensland, Herston, Queensland, Australia
Corneel Vandelanotte
Affiliation:
Research Fellow, Institute for Health and Social Science Research, Centre for Physical Activity Studies, Central Queensland University, Rockhampton, Queensland, Australia
*
Correspondence to: Marilla Dickfos, Principle House Officer, The Prince Charles Hospital, Rode Road, Chermside 4032, Australia. Email: [email protected]
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Abstract

Aim

To explore GPs’ perceptions of their role in primary prevention, barriers experienced and willingness to accommodate an automated, computer-tailored intervention.

Background

General practice is an attractive setting for primary prevention of chronic disease. Due to constraints in time and knowledge it is underutilised.

Methods

Telephone interviews of 13 GPs in Brisbane, Australia, whose patients were previously involved in a lifestyle change research project. Qualitative responses were grouped into themes.

Findings

GPs perceived their role in lifestyle change as ‘educators’, ‘supporters’ and ‘prompters’. Smoking and physical activity were addressed more often than alcohol and salt intake. Longer lifestyle-focussed consultations and computer-generated reminders were suggested to overcome barriers. A computer-tailored approach was appreciated due to its minimal impact on practice routine. GPs understand their role in primary prevention but need help to overcome barriers. GP initiated consultations focusing on lifestyle and prevention along with computer support systems could improve capability for prevention in general practice.

Type
Short Report
Copyright
© Cambridge University Press 2014 

Introduction

Lifestyle choices greatly influence a person’s immediate and future health. Lifestyle risk factors contribute to 80% of cardiovascular disease, 90% of type two diabetes and 30% of all cancers (World Health Organization, Reference Murray and Lopez2002). General practice provides an attractive setting for lifestyle interventions due to the accessibility, continuity and comprehensiveness of the care provided (Fleming and Godwin, Reference Fleming and Godwin2008).

Despite strong support for the efficacy of general practice-based health behaviour change interventions, the actual implementation of such interventions remains limited (Klumbiene et al., Reference Klumbiene, Petkeviciene, Vaisvalavicius and Miseviciene2006; Denney-Wilson et al., Reference Denney-Wilson, Fanaian, Wan, Vagholkar, Schütze and Harris2010; Noordman et al., Reference Noordman, Verhaak and van Dulmen2010; Harris et al., Reference Harris, Lloyd, Litt, van Driel, Mazza, Russell, Smith, Del Mar, Denney-Wilson, Parker, Krastev, Jayasinghe, Taylor, Zwar, Wilson, Bolger-Harris and Waters2013). Well-recognised barriers include lack of time to engage patients in lifestyle modifications (Ampt et al., Reference Ampt, Amoroso, Harris, McKenzie, Rose and Taggart2009; Laws et al., Reference Laws, Jayasinghe, Harris, Williams, Powell Davies and Kemp2009), lack of knowledge and training in behaviour change and variable belief in the effectiveness of available strategies (Crosson et al., Reference Crosson, Davis, Heisler, Lasser, Onyemere, Ross, Schmittdiel, Subramanium, Swain and Tseng2010; Lambe and Collins, Reference Lambe and Collins2010; Eisner et al., Reference Eisner, Zoller, Rosemann, Huber, Badertscher and Tandjung2011). Research indicates that automated and computerised versions of interventions may increase their use (Gribben et al., Reference Gribben, Goodyear-Smith, Grobbelaar, O'Neill and Walker2000; Carlfjord et al., Reference Carlfjord, Nilsen, Leijon, Andersson, Johansson and Bendtsen2009). The ‘10 Small Steps’ project (10SS; Parekh et al., Reference Parekh, Vandelanotte, King and Boyle2012a; Reference Parekh, Vandelanotte, King and Boyle2012b) was designed to overcome many of these identified barriers. The project involved 20 General Practitioners (GPs) in south-east Queensland, Australia, who partnered with researchers to invite patients to complete a lifestyle assessment questionnaire, from which computer-tailored feedback was generated. Individualised feedback and helpful information was provided on physical activity, smoking, alcohol, diet and sun exposure if the patient’s lifestyle did not meet current national guidelines on any of these behaviours (Parekh et al., Reference Parekh, Vandelanotte, King and Boyle2012a; Reference Parekh, Vandelanotte, King and Boyle2012b). The intervention operated almost independently of the GPs who were only required to approve communication material, allow use of their electronic letterhead and discuss any questions the patients had regarding the feedback. This minimised the GP’s workload but harnessed their authority with patients.

The 10SS intervention was shown to significantly improve a number of health behaviours, demonstrated by improvements in lifestyle scores and individual lifestyle behaviours at three (Parekh et al., Reference Parekh, Vandelanotte, King and Boyle2012a; Reference Parekh, Vandelanotte, King and Boyle2012b) and 12 months (Parekh et al., Reference Parekh, King, Boyle and Vandelanotte2014) relative to baseline scores. There have been other successful GP-based ‘external’ interventions including information technology-based diabetes and weight control projects (Kirk et al., Reference Kirk, Harvey, McConnon, Pollard, Greenwood, Thomas and Ransley2003, Costa et al., Reference Costa, Dunning, Fitzgerald and Jones2009) and advice provided by practice nurses (Driehuis et al., Reference Driehuis, Barte, Bogt, Beltman, Smit, van der Meer and Bemelmans2012). Though effective, such interventions are still rarely encountered in the general practice setting. Although researchers might be convinced of the efficacy and ease of implementing computer-tailored interventions in general practice, less is known about GPs’ views and beliefs on these matters. This study therefore had two aims: to explore GPs’ perceptions and practices of lifestyle modification with their patients; and to seek their views on computer-tailored interventions, based on prior participation in the 10SS project. This information is important for developing lifestyle interventions that are applicable to the general practice setting.

Methods

A semi-structured telephone interview containing open and closed questions was used to elicit the views of GPs who participated in the 10SS project (Parekh et al., Reference Parekh, Vandelanotte, King and Boyle2012a; Reference Parekh, Vandelanotte, King and Boyle2012b). The interviews were conducted between January and March 2012, with approval from the Behavioural and Social Sciences Ethical Review committee of the University of Queensland. The initial 20 GPs who participated in the 10SS project were invited to participate in a telephone interview by letter and follow-up phone call.

The interview questions aimed to elicit GP’s beliefs on their role in lifestyle modification and who shared (or might share) this role; their views on the efficacy of GP-based lifestyle interventions; the extent to which they routinely advised and provided resources on specific risk behaviours (alcohol, smoking, diet, salt intake, physical activity); and barriers to providing such advice. The interview also invited feedback on their perception of the 10SS intervention in routine practice.

Data analysis was performed manually. Interview notes were read multiple times and responses were categorised according to the a priori categories of: role of GP; topics of lifestyle modification; enabling factors and barriers; perceptions of the 10SS computer-tailored intervention; and other responses relevant to the research questions. Two research team members independently reviewed the data and applied the coding structure; with any discrepancies resolved through discussion.

Results

Two of the original 20 GPs had retired or moved interstate and five declined to participate, leaving 13 participants (response rate of 72%).

What do GPs think about lifestyle intervention?

All GPs viewed their role as ‘educator’ through providing advice and other resources. Others also identified a ‘supporter’ role (n=8; 61%); to encourage, support and motivate their patients to live healthily; and a ‘prompter’ role (n=7; 53%) that involved reminding patients to adhere to healthy lifestyles through regular monitoring, follow-up and open communication.

Seven GPs (53%) believed the efficacy of such advice was patient dependent and increased with patient motivation and a good doctor–patient relationship. Six GPs (46%) appeared pessimistic and believed that they played only ‘a small part’ in healthy behaviour change. Even the more optimistic GPs qualified their statements with the need to be ‘realistic’ as to what their advice could actually achieve.

What lifestyle advice do GPs provide?

Smoking and physical activity were almost universally addressed. Some GPs (n=5, 38%) made smoking and physical activity their first priority due to the plethora of health problems associated with these health behaviours. Alcohol and diet were less consistently addressed and salt intake was rarely addressed. Three GPs addressed salt intake only in the context of a past history of hypertension or hypercholesterolaemia.

One in three GPs stated the reason for the consultation determined the potential for topics to be discussed. Lifestyle advice was given opportunistically by GPs who used the presenting complaint to trigger discussion about health behaviours. Other prompts arose from associated medical conditions or the health of family or friends.

What stops GPs from providing lifestyle advice?

Barriers to promoting healthy lifestyles were reported at the patient, GP and system levels. The former category included the patient’s agenda and whether the reason for the consultation led readily to discussion of lifestyle-related issues. The patient’s readiness to change and other psychological factors were also identified as influencing their willingness to discuss lifestyle change. Barriers specific to particular lifestyle behaviours were also reported. Barriers to discussing alcohol use with patients arose from social norms about alcohol use, unreliability of reporting by patients and the stigma associated with having a ‘drinking problem’. GPs were less likely to discuss salt intake because they did not see it as an important health risk, whereas a lack of educational resources on this issue was also cited as a barrier.

As expected, most GPs (n=9, 69%) identified time as a limiting factor in the provision of lifestyle advice to patients. Solutions suggested by GPs were: longer consultations (n=6; 46%); health behaviour change focused consultations (5, 38%); computer-based reminders (2, 15%); and the use of allied health personnel (1, 7%). GPs suggested flagging lifestyle issues raised during a consultation and addressing them by offering the patient a follow-up consultation and organising future prompts and reminders. Computer-based methods were specifically mentioned for these purposes.

What did GPs think of the 10SS project?

As the 10SS project was completed two years before the interviews and GPs had only a minor role in the implementation of the project, many GPs found it difficult to remember specific details. GPs recalled only a small number of patients mentioning the project to them at the time but the feedback was positive. GPs believed the project had improved their patients’ knowledge and acted as a trigger for discussion. Some noted that patients were more receptive if the GP claimed ownership of the project.

All GPs agreed the project placed no additional load on their practice and the majority indicated they would consider use of a similar intervention in the future. They believed the intervention was a useful intermediary and valuable resource that increased patient awareness about health behaviours.

Discussion

This study provides insight into GPs’ perspectives on lifestyle modification activities. Similar to observations by Jallinoja et al. (Reference Jallinoja, Absetz, Kuronen, Nissinen, Talja, Uutela and Patja2007), GPs in our study regarded their role as one of providing information, support and motivation. Limited consultation times, patient-directed agendas, the patient’s state of behavioural change, a reluctance to address specific issues (Passey et al., Reference Passey, Laws, Jayasinghe, Fanaian, McKenzie, Powell-Davies, Lyle and Harris2012), and a certain degree of pessimism regarding the extent of behaviour change possible, combine to produce an opportunistic and rather ad hoc approach that prioritises a small number of target behaviours. Limited successes can undermine GPs’ beliefs in the efficacy of advice and create a further barrier as GPs reduce their efforts to avoid damaging the doctor–patient relationship (McEwan et al., Reference McEwan, West and Preston2005). GPs in this study acknowledged their lack of conviction as a barrier, especially in regard to salt intake.

Our results identified a preference to discuss physical activity and smoking over salt and alcohol intake. This is consistent with other studies that show the discussion of alcohol to be difficult for a variety of reasons, such as under-reporting and associated stigma (Aira et al., Reference Aira, Kauhanen, Larivaara and Rautio2003, Johansson et al., Reference Johansson, Bendtsen and Akerlind2005). In contrast, Denney-Wilson et al. (Reference Denney-Wilson, Fanaian, Wan, Vagholkar, Schütze and Harris2010) found that alcohol and smoking were more often addressed by GPs than diet and physical activity. Less is known about reluctance to address high salt intake. Some GPs in this study did not discuss salt intake with patients due to a perception it was not an important risk factor. Yet high salt intake has a consistent association with age-related hypertension and the average Australian consumption is twice the recommended daily intake (National Heart Foundation, 2007).

Our findings highlight the patient’s consultation agenda as a potential barrier to GP engagement in behaviour change, particularly if that agenda lacks triggers to address lifestyle factors. By mentioning lifestyle-related health issues, patients seem to give GPs ‘permission’ to broach lifestyle topics. This ‘disease-’, rather than ‘prevention-’ focussed approach may explain why smoking and physical activity, with their high associated burden of disease, are among the most widely addressed lifestyle behaviours.

GPs in this study suggested strategies to assist them in instigating lifestyle change with their patients, including longer consultation times, computer-based reminders and lifestyle-specific appointments. This could occur if health checks were reframed to focus on health behaviour change rather than examination and investigations. An opportunity for lifestyle-focussed consultations already exists in Australia in the form of health assessment items funded by Medicare, Australia’s national health insurance scheme, though these are currently limited to specific target groups (Department of Health and Ageing, 2012).

Practical computer-based lifestyle interventions such as 10SS, can assist busy GPs to provide lifestyle advice to patients by acting as a consultation trigger, reminder and efficient assessment tool. All of these features have been suggested by GPs as ways in which to assist them with behaviour change in their patients. This study indicated that GPs viewed 10SS favourably as it was easily implemented, added no load to their practice and patient feedback was positive. The intervention approaches evaluated by 10SS could be feasibly translated and delivered on a large scale, outside the research setting, to support GPs’ healthy behaviour promotion efforts. For example, GP waiting rooms could be equipped with tablets that include the computer-tailored programme. While patients wait to see their GP they could complete the brief assessment questionnaire, which is then printed. Reading the personalised advice before seeing their GP, would facilitate endorsement of the feedback without a significant impact on the GP’s workload. Our findings are based on a small sample of GPs who had previously participated in the 10SS project and may therefore have a particular interest in health behaviour change. The duration of time between the 10SS project and the interview meant GP recollection of specific details was somewhat limited. The interviews were not audio recorded but instead responses were recorded by contemporaneous note taking. While the brevity of responses produced less detailed information, a shorter interview is likely to have enhanced the response rate. Despite these limitations, our study provides insights into the barriers to providing lifestyle advice in general practice and highlights key issues relevant to developing health behaviour interventions in this setting.

Conclusion

GPs are expected to use a multitude of interventions, some of which have been designed by other professional groups. It is important to incorporate the opinions of GPs when designing interventions so they match the context of their intended use. GPs understand the importance of lifestyle behaviour change and their role in educating patients to lead healthier lifestyles but require assistance in this difficult task. In Australia, health promotion is delivered opportunistically in general practice. System, patient and GP factors need to be addressed to enable a more comprehensive approach.

Computer-tailored interventions that place minimal disruption on routine care and GP initiated consultations for behaviour change, offer promising strategies for the large-scale implementation of prevention activities through the general practice setting.

Acknowledgements

Financial Support

The 10 Small Steps project was funded by the MBF Foundation (now BUPA Foundation), a charitable organisation. Dr Sanjoti Parekh was supported by a National Health and Medical Research Council of Australia post-graduate research scholarship. Dr Vandelanotte was supported by a National Health and Medical Research Council of Australia (#519778) and National Heart Foundation of Australia (#PH 07B 3303) post-doctoral research fellowship.

Conflicts of Interest

None.

Ethical Standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the Behavioural and Social Sciences Ethical Review committee of the University of Queensland, the Australian National Statement on the Ethical Conduct in Research Involving Humans (2007 – including 2014 update) and with the Helsinki Declaration of 1975, as revised in 2008.

References

Aira, M., Kauhanen, J., Larivaara, P. and Rautio, P. 2003: Factors influencing inquiry about patients’ alcohol consumption by primary health care physicians: qualitative semi-structured interview study. Family Practice 20, 270275.CrossRefGoogle ScholarPubMed
Ampt, A.J., Amoroso, C., Harris, M.F., McKenzie, S.H., Rose, V.K. and Taggart, J.R. 2009: Attitudes, norms and controls influencing lifestyle risk factor management in general practice. BMC Family Practice 10, 18.Google Scholar
Carlfjord, S., Nilsen, P., Leijon, M., Andersson, A., Johansson, K. and Bendtsen, P. 2009: Computerized lifestyle intervention in routine primary health care: evaluation of usage on provider and responder levels. Patient Education and Counseling 75, 238243.Google Scholar
Costa, B.M., Dunning, T., Fitzgerald, K.J. and Jones, K.M. 2009: Effectiveness of IT-based diabetes management interventions: a review of the literature. BMC Family Practice 10, 18.Google Scholar
Crosson, J., Davis, G., Heisler, M., Lasser, N., Onyemere, K., Ross, S., Schmittdiel, J., Subramanium, U., Swain, B. and Tseng, C. 2010: Physicians’ perceptions of barriers to cardiovascular disease risk factor control among patients with diabetes: results from the Translating Research Into Action for Diabetes (TRIAD) study. Journal of American Board of Family Medicine 23, 171178.Google Scholar
Denney-Wilson, E., Fanaian, M., Wan, Q., Vagholkar, S., Schütze, H. and Harris, M. 2010: Lifestyle risk factors in general practice: routine assessment and management. Australian Family Physician 39, 949953.Google Scholar
Department of Health and Ageing. 2012: Medicare Benefits Schedule (MBS) Health Assessments – MBS items 701, 703, 705, 707, 715 and 10986. Fact Sheet. Retrieved 26 August 2013 from http://www.health.gov.au/internet/main/publishing.nsf/Content/mbsprimarycare_mbsitem_general_factsheet Google Scholar
Driehuis, F., Barte, J., Bogt, N., Beltman, F.W., Smit, A.J., van der Meer, K. and Bemelmans, W. 2012: Maintenance of lifestyle changes: 3-year results of the Groningen Overweight and Lifestyle study. Patient Education and Counseling 88, 249255.Google Scholar
Eisner, D., Zoller, M., Rosemann, T., Huber, C., Badertscher, N. and Tandjung, R. 2011: Screening and prevention in Swiss primary care: a systematic review. International Journal of General Medicine 4, 853870.Google Scholar
Fleming, P. and Godwin, M. 2008: Lifestyle interventions in primary care. Systematic review of randomized controlled trials. Canadian Family Physician 54, 17061713.Google Scholar
Gribben, B., Goodyear-Smith, F., Grobbelaar, M., O'Neill, D. and Walker, S. 2000: The early experience of general practitioners using Green Prescription. New Zealand Medical Journal 113, 372373.Google Scholar
Harris, M., Lloyd, J., Litt, J., van Driel, M., Mazza, D., Russell, G., Smith, J., Del Mar, C., Denney-Wilson, E., Parker, S., Krastev, Y., Jayasinghe, U.W., Taylor, R., Zwar, N., Wilson, J., Bolger-Harris, H. and Waters, J. 2013: Preventive evidence into practice (PEP) study: implementation of guideliness to prevent primary vascular disease in general practice protocol for a cluster randomised controlled trial. Implementation Science 8, 818.Google Scholar
Jallinoja, P., Absetz, P., Kuronen, R., Nissinen, A., Talja, M., Uutela, A. and Patja, K. 2007: The dilemma of patient responsibility for lifestyle change: perceptions among primary care physicians and nurses. Scandinavian Journal of Primary Health Care 25, 244249.Google Scholar
Johansson, K., Bendtsen, P. and Akerlind, I. 2005: Factors influencing GPs' decisions regarding screening for high alcohol consumption: a focus group study in Swedish primary care. Public Health 119, 781788.CrossRefGoogle ScholarPubMed
Kirk, S., Harvey, E.L., McConnon, A., Pollard, J.E., Greenwood, D.C., Thomas, J.D. and Ransley, J.K. 2003: A randomised trial of an internet weight control resource: the UK weight control trial. BMC Health Services Research 3, 14.Google Scholar
Klumbiene, J., Petkeviciene, J., Vaisvalavicius, V. and Miseviciene, I. 2006: Advising overweight persons about diet and physical activity in primary health care: Lithuanian health behaviour monitoring study. BMC Public Health 6, 16.Google Scholar
Lambe, B. and Collins, C. 2010: A qualitative study of lifestyle counseling in general practice in Ireland. Family Practice 27, 219223.Google Scholar
Laws, R.A., Jayasinghe, U.W., Harris, M.F., Williams, A.M., Powell Davies, G. and Kemp, L.A. 2009: Explaining the variation in the management of lifestyle risk factors in primary health care: a multilevel cross sectional study. BMC Public Health 9, 114.CrossRefGoogle ScholarPubMed
McEwan, A., West, R. and Preston, A. 2005: Triggering anti-smoking advice by GPs: mode of action of an intervention stimulating smoking cessation advice by GPs. Patient Education and Counseling 62, 8994.Google Scholar
Murray, C. and Lopez, A. 2002: The World Health Report: reducing risks, promoting health lifestyle. World Health Organisation. Geneva, Switzerland.Google Scholar
National Heart Foundation. 2007: Salt and hypertension (Professional Paper). Retrieved 4 September 2013 from http://www.heartfoundation.org.au/SiteCollectionDocuments/salt-and-hypertension.pdf Google Scholar
Noordman, J., Verhaak, P. and van Dulmen, S. 2010: Discussing patient’s lifestyle choices in the consulting room: analysis of GP-patient consultations between 1975 and 2008. BMC Family Practice 11, 110.CrossRefGoogle ScholarPubMed
Parekh, S., Vandelanotte, C., King, D. and Boyle, F.M. 2012a: Design and baseline characteristics of the 10 Small Steps Study: a randomised controlled trial of an intervention to promote healthy behaviour using a lifestyle score and personalised feedback. BMC Public Health 12, 179188.Google Scholar
Parekh, S., Vandelanotte, C., King, D. and Boyle, F.M. 2012b: Improving diet, physical activity and other lifestyle behaviours using computer-tailored advice in general practice: a randomised controlled trial. International Journal of Behavioural Nutrition and Physical Activity 9, 108118.Google Scholar
Parekh, S., King, D., Boyle, F. and Vandelanotte, C. 2014: Randomized controlled trial of a computer-tailored multiple health behaviour intervention in general practice: 12-month follow-up results. The International Journal of Behavioural Nutrition and Physical Activity 11, 4151.Google Scholar
Passey, M., Laws, R.A., Jayasinghe, U.W., Fanaian, M., McKenzie, S.H., Powell-Davies, G., Lyle, D. and Harris, M. 2012: Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial. BMC Health Services Research 12, 234242.CrossRefGoogle Scholar