Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-26T00:49:58.209Z Has data issue: false hasContentIssue false

Increasing access to consumer health organisations among patients with chronic disease – a randomised trial of a print-based intervention

Published online by Cambridge University Press:  10 February 2011

Frances M. Boyle*
Affiliation:
Social Science and Health Systems Academic Discipline Group, School of Population Health, The University of Queensland, Herston, Australia
Allyson J. Mutch
Affiliation:
Social Science and Health Systems Academic Discipline Group, School of Population Health, The University of Queensland, Herston, Australia
Julie H. Dean
Affiliation:
Social Science and Health Systems Academic Discipline Group, School of Population Health, The University of Queensland, Herston, Australia
Marie-Louise Dick
Affiliation:
Discipline of General Practice, School of Medicine, The University of Queensland, Herston, Australia
Christopher B. Del Mar
Affiliation:
Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
*
Correspondence to: Frances M. Boyle, Social Science and Health Systems Academic Discipline Group, School of Population Health, The University of Queensland, Level 2, Public Health Building, Herston Road, Herston, QLD 4006, Australia. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Aim

To assess whether a print-based intervention led to increased contact with consumer health organisations (CHOs) by general practice patients with chronic disease.

Background

CHOs can enhance people's capacity to manage chronic illness by providing information, education and psychosocial support. However, these organisations appear to be grossly under-utilised by patients and clinicians.

Methods

A total of 276 patients completed a computer-assisted telephone interview before randomisation to an intervention (n = 141) or control (n = 135) group. The intervention consisted of mailed printed materials designed to encourage contact with a CHO relevant to the patient's main diagnosed chronic condition. Follow-up interviews were conducted 4 and 12 months later.

Findings

Patients with conditions other than diabetes who received the intervention were twice as likely as those in the control group to contact a consumer health organisation during the 12-month study period: 41% versus 21% (P < 0.001). No such effect was found for diabetes patients, probably because of pre-existing high levels of contact with diabetes organisations. The intervention package received strong patient endorsement. Low-intensity interventions may be effective in improving access to CHOs for patients with chronic disease.

Type
Research
Copyright
Copyright © Cambridge University Press 2011

Introduction

Encouraging patient self-management is fundamental to effective chronic illness care (Newman et al., Reference Newman, Steed and Mulligan2004; Mensing et al., Reference Mensing, Boucher, Cypress, Weinger, Mulcahy, Barta, Hosey, Kopher, Lasichak, Lamb, Mangan, Norman, Tanja, Yauk, Wisdom and Adams2007) There are benefits to individuals and health systems from informed, empowered patients actively engaged in their own care, including better quality of life; health status; clinical outcomes; and more efficient use of health resources (Lorig et al., Reference Lorig, Sobel, Stewart, Brown, Bandura, Ritter, Gonzalez, Laurent and Holman1999; Bodenheimer, Reference Bodenheimer2005; Coulter and Ellins, Reference Coulter and Ellins2007). In Australia and internationally, efforts to build people's chronic disease self-management capacity are high on the health policy agenda (Barr et al., Reference Barr, Robinson, Marin-Link, Underhill, Dotts, Ravensdale and Salivaras2003; Muir Gray, Reference Muir Gray2004; Newman et al., Reference Newman, Steed and Mulligan2004; Coulter and Ellins, Reference Coulter and Ellins2007; Fisher et al., Reference Fisher, Brownson, O'toole, Anwuri and Shetty2007; Jordan and Osborne, Reference Jordan and Osborne2007). As chronic disease self-management has become increasingly mainstream (Osborne et al., Reference Osborne, Jordan and Rogers2008), various initiatives have emerged to provide patients with the information, skills and support needed for effective self-management. These initiatives range from formal structured models through to informal models that operate largely outside the mainstream health system (Jordan et al., Reference Jordan, Briggs, Brand and Osborne2008). An example of the latter is consumer health organisations (CHOs) – non-profit or voluntary sector organisations that promote and represent the interests of users and/or carers (Allsop et al., Reference Allsop, Jones and Baggott2004). These organisations can complement and reinforce self-management aspects of clinical care by providing information, educational resources, psychosocial support and skill development for those with chronic illness and their carers at relatively low cost (Kessler et al., Reference Kessler, Mickelson and Zhao1997; Von Korff et al., Reference Von Korff, Gruman, Schaefer, Curry and Wagner1997; Wagner et al., Reference Wagner, Davis, Schaefer, Von Korff and Austin1999; Wilson, Reference Wilson1999; Fisher et al., Reference Fisher, Brownson, O'toole, Anwuri and Shetty2007). CHOs offer an array of support options, including printed information, newsletters, telephone, Internet and face-to-face support, educational activities and links to other resources. They enable people to gain support and information at their own pace, at times and in formats that suit different needs and preferences.

Despite a shortage of systematic research into CHOs, data support their contribution to user outcomes, including psychosocial well-being, knowledge, mastery, coping and control (Trojan, Reference Trojan1989; Kyrouz et al., Reference Kyrouz, Humphreys and Loomis2002; Boyle et al., Reference Boyle, Mutch, Dean, Dick and Del Mar2009). However, research suggests CHOs are under-utilised. Ellins and Coulter (Reference Ellins and Coulter2005) found only 5% of people with a chronic disease had ever contacted a CHO while Gucciardi et al. (Reference Gucciardi, Smith and Demelo2006) found 3–13% of diabetes patients used support groups or organisations. Barriers to CHO use exist at patient, doctor and health system levels. Limited awareness among health professionals and patients of the existence, role and benefits of CHOs (Meissen et al., Reference Meissen, Wituk, Warren and Shepherd2000) and lack of referral pathways (Von Korff et al., Reference Von Korff, Gruman, Schaefer, Curry and Wagner1997; Carroll et al., Reference Carroll, Gray, Orr, Chart, Fitch and Greenberg2000; Grant et al., Reference Grant, Goodenough, Harvey and Hine2000; Infante et al., Reference Infante, Proudfoot, Davies, Bubner, Holten, Beilby and Harris2004; Beesley et al., Reference Beesley, Janda, Eakin, Auster, Chambers, Aitken, Dunn and Battistutta2009) combine to impede access to these organisations.

Print-based materials directed at the patient level have been found to improve attendance at screening services and to be more cost effective than some higher intensity interventions (Shankaran et al., Reference Shankaran, Mckoy, Dandade, Nonzee, Tigue, Bennett and Denberg2007) especially when they incorporate strategies to help the recipient achieve the desired behaviour change (Paul et al., Reference Paul, Redman and Sanson-Fisher2004). To our knowledge, no prior study has evaluated such a strategy in terms of improving patient access to CHOs. We developed, implemented and evaluated a low-intensity print-based intervention designed to increase contact with CHOs by patients with chronic disease. This study reports on the efficacy of the intervention in terms of self-reported patient contact with CHOs and its acceptability to general practice patients.

Methods

Study design and setting

The study involved a randomised controlled trial of a print-based intervention designed to increase access to CHOs among general practice patients with diagnosed chronic disease. Patients were recruited by 18 general practitioners in Brisbane, Australia between February and July 2007. Patients who joined the study completed a computer-assisted telephone interview (CATI) soon after the entry to the trial and were then randomised to either the intervention or control group. Up to ten callbacks were made in an attempt to contact all eligible participants. The CATI method is well established and widely used data collection technique enabling trained interviewers to administer a pre-programmed questionnaire by telephone. Responses are automatically entered and coded during the interview offering significant advantages in terms of the timeliness and quality of data (De Vaus, Reference De Vaus2002). Two follow-up CATIs were conducted approximately 4 and 12 months later. On average, each interview took between 10 and 20 min. The study was approved by The University of Queensland's Behavioural and Social Sciences Ethical Review Committee.

Participants

Recruiting a representative sample of general practice patients with chronic disease involved a two-stage process: the recruitment of general practitioner (GPs), followed by the recruitment of patients. On the basis of initial power calculations, our goal was to recruit 650 eligible patients, 25 GPs each recruiting 26 patients. A feasibility study involving five GPs had indicated that this was readily achievable. Yet, recruitment proved more challenging in the actual study. Both the recruitment of GPs and their recruitment of patients were much slower than anticipated. Even with an expanded recruitment process, to complete the project within the required timeframe, it was necessary to cease recruitment at 57.5% of the target sample.

A random sample of 200 GPs was invited by mail to participate in the study but only eight GPs were recruited in this way. Chain referral, or snowball sampling, where respondents are asked to refer the researcher to one or more members of the target group was used to enlist further GPs. This resulted in 18 GPs who recruited a total of 374 patients to the study. During a specified recruitment period of up to three weeks, the participating GPs asked consecutive eligible patients if they would agree to join the study. Eligibility criteria were: age 18 years and over, sufficient English language skills to complete a telephone interview and a diagnosis of diabetes, arthritis, osteoporosis, ankylosing spondylitis, asthma, chronic hepatitis, haemochromatosis or renal disease based on standard diagnostic criteria.

Randomisation

Following the baseline telephone interview, patients were randomly assigned to receive by mail either the intervention package or a letter welcoming them to the study, and a gift pen. The randomisation procedure involved stratifying participants by their main health condition and using the computer tool Research Randomiser (Urbaniak and Plous, 1997–Reference Urbaniak and Plous2009) to generate random numbers to determine the two groups. GPs were not made aware of the group to which the patient had been assigned and continued to provide usual care to all patients in the study.

The intervention

A print-based intervention package was designed as a low-cost method of reaching patients with chronic disease to increase their awareness of and access to a CHO relevant to their main diagnosed chronic condition. The intervention needed to be easily accessible to a wide cross-section of the general practice population, acceptable to patients and suitable for implementation in the general practice setting.

Development of the package was guided by three key principles: the incorporation of content and design characteristics; the use of behavioural strategies; and the use of marketing strategies (Paul et al., Reference Paul, Redman and Sanson-Fisher2004). Checklists outlining standard criteria for effective print communication materials were used to produce an information package that was easy to understand, act on and recall (Paul et al., Reference Paul, Redman and Sanson-Fisher1997; Centers for Disease Control and Prevention, 1999). A comprehensive review of evidence for the effectiveness of printed education materials to increase patient participation in chronic disease management concluded that limited evidence of their effectiveness was at least partly due to printed materials not being developed through a rigorous process (Harris et al., Reference Harris, Smith and Veale2005). Content and design characteristics include readability, ease of comprehension and presentation including font size and layout. They take account of low levels of health literacy that would be expected among subgroups of general practice patients with chronic disease (Gazmararian et al., Reference Gazmararian, Williams, Peel and Baker2003).

We paid particular attention to the incorporation of strategies to promote behaviour change and positively reinforce the desired behaviour as these have been shown to increase the effectiveness of printed health materials (Paul et al., Reference Paul, Redman and Sanson-Fisher2004). Integrating this approach, the intervention package adopted an overall theme of getting in touch. Strategies to encourage recipients of our intervention package to get in touch with a CHO, included: a personalised letter containing GP (one of the researchers) endorsement of a CHO relevant to the patient's main chronic condition and inviting contact with that CHO; the CHO contact details; a reply-paid postcard addressed to the CHO requesting further information and resources; an outline of some of the potential personal benefits of CHOs to patients; and information that attempted to dispel some common misperceptions about CHOs (eg, to advise that CHOs provide a wide range of services, and that attendance at group meetings, while an option available at some CHOs, is not necessary). The package was compiled in a professionally designed compendium and included gifts of a pen and three greeting cards with envelopes for the recipient's personal use to reinforce the overall theme of getting in touch.

Finally, social marketing strategies were used to maximise the acceptability of the intervention to the target audience. The intervention package was developed in collaboration with various user groups to gain lay and expert input. Successive versions of the package were field tested with CHOs, their members, GPs and members of the general community. A graphic designer was employed to ensure a professional and high-quality final product.

Measures

Data were collected using a self-report questionnaire that contained a mix of validated scales, items derived from studies reported in the literature and items customised for the purposes of the survey. Standard demographic questions were selected from the Australian National Health Survey (2001; 2004–2005; ABS, 2001; 2004), a triennial health survey undertaken by the Australian Bureau of Statistics.

The primary outcome was self-reported CHO contact during the 12-month study period. Questions about CHO contact were drawn from the literature and our prior research (Boyle et al., Reference Boyle, Posner, Del Mar, Mclean and Bush2003; Coppa and Boyle, Reference Coppa and Boyle2003). All participants were asked: ‘Have you contacted[a CHO relevant to their main diagnosed chronic condition]’ since the previous interview (or ever, at the baseline interview). Those who had made contact were asked if they had engaged in any of the following nine activities: telephoned the CHO; read the CHO newsletter or other printed materials; visited the CHO website; attended a CHO seminar; talked with other CHO members; attended a support group; used CHO services (eg, exercise classes, medical aids or counselling); used CHO information to raise awareness of the condition among others; or become a member of the CHO.

Participants in the intervention group were also asked a series of questions to evaluate patient perceptions, use and acceptability of the intervention package, including: whether they recalled receiving the package; whether they had looked at the package; and whether they had taken time to read the package. They were also asked to respond, using a 5-point scale (‘strongly agreetostrongly disagree’), to statements about the intervention package, including: ‘was meant for someone like me’; ‘contained useful information’; ‘was something I would give to a friend or relative if relevant’; ‘would have liked to have received the package sooner’; ‘it would be a good idea for doctors to give the package to their patients’.

The questionnaire was piloted with members of the community prior to study commencement.

Statistical analyses

Analyses were performed on an intention to treat basis. Participants who dropped out of the study were included in the analysis. Missing responses on the primary outcome variable were recorded as ‘no contact with the CHO’. On the basis of earlier work (Boyle et al., Reference Boyle, Mutch, Dean, Dick and Del Mar2009), we expected people with diabetes to have had more prior contact with a CHO and this was borne out in the preliminary baseline data analysis. For this reason, planned a priori subgroup analyses were undertaken with diabetes analysed separately from the other main chronic condition categories. SPSS 15.0 (SPSS, 2006) was used for data analysis. χ 2-tests were used to evaluate statistical significance of observed differences. A significance level of P = 0.05 was applied.

Results

Participant flow and response rates

A total of 374 eligible patients were invited by 18 GPs to join the study, of whom 276 (73.8%) completed the baseline interview (Figure 1). Baseline completers did not differ significantly from eligible non-completers in terms of sex, age or main chronic condition, as recorded by the recruiting GP. Randomisation resulted in 141 patients in the intervention group and 135 patients in the control group.

Figure 1 Participant flow and response rates

Characteristics of the sample

Musculoskeletal conditions (arthritis, osteoporosis and ankylosing spondylitis) were the main diagnosed chronic conditions for 52% of the 276 participants. This was followed by diabetes (23%) and asthma (15%) and smaller numbers with kidney disease (6%), chronic hepatitis and haemochromatosis (both 2%). The majority of study participants were women (66%), married or living with a partner (57%), with an average age of 63.89 years (SD = 14.70, median = 65.00). Most were Australian born (78%) and only a small minority (10%) spoke a language other than English at home. Nearly two-thirds were retired (59%) and slightly more than half (54%) had some form of private health insurance. The intervention and control groups and the diabetes and other conditions groups were evenly balanced across these baseline variables (Table 1). However, as expected, one notable difference was that patients with diabetes were significantly more likely to have had prior CHO contact when compared to other patients: 81% versus 11% (P < 0.001).

Table 1 Sociodemographic characteristics of participants at baseline interview

CHO = consumer health organisation.

aMean (SD).

Use and perceptions of the intervention package

Of 141 patients who were mailed an intervention package, 115 (82%) completed the four-month interview, which included questions on use and perceptions of the package. Most (81%) said they recalled receiving it, more than half (61%) said they had taken time to look at it, and almost as many (54%) said they had read its contents. The majority of those who had looked at the package agreed or strongly agreed that it: ‘contained useful information’ (71%); ‘was meant for someone like me’ (66%); and ‘was something they would give to a friend or relative if relevant’ (81%). Almost half (46%) said they would have liked to have received the package sooner and the vast majority (91%) thought it would be a good idea for doctors to give the package to their patients.

At the 12-month interview, the 85 (60%) intervention group members remaining in the study answered questions about their use of the package: 79% said they recalled the package, of whom 61% had kept it and 30% had referred to it again since the 4-month interview.

Effect of the intervention on CHO use

Table 2 compares the nature and amount of CHO contact post-intervention and during the course of the 12-month follow-up period based on sub-group analyses for ‘diabetes’ and ‘other conditions’. As expected, those with diabetes had greater CHO contact across the board. There were no statistically significant differences between the diabetes intervention and control groups for most of the forms of CHO contact. However, there were two exceptions: those in the diabetes intervention group were significantly more likely to report using the CHO website than those in the diabetes control group; and diabetes controls were more likely to report using CHO services than those in the diabetes intervention group. For conditions other than diabetes, those in the intervention group were significantly more likely to report some form of contact with a CHO for their condition during the study: 41% compared with 21% (P = 0.001). In particular, those who received the intervention package were more likely to have read a newsletter or other printed materials from the CHO to which they had been referred (31% compared with 15%; P = 0.005) and to have discussed information received from the CHO with others in their social network (18% compared to 8%; P = 0.03). Few study participants telephoned the CHO or talked with other CHO members and only a handful of people attended a CHO seminar or support group meeting.

Table 2 Contact with CHO related to main health condition as reported at either the 4-month or 12-month interviews or both

CHO = consumer health organisation.

Discussion

General practice patients who received a print-based intervention were significantly more likely to contact a CHO relevant to their main diagnosed chronic condition than those who did not receive the intervention. The exception was for patients with diabetes, most likely due to a ceiling effect reflecting their already high levels of CHO contact. There was strong patient endorsement of the intervention package indicating its acceptability as a health information resource for general practice patients with chronic disease.

Despite the potential benefits of CHOs (Trojan, Reference Trojan1989; Grant et al., Reference Grant, Goodenough, Harvey and Hine2000; Kyrouz et al., Reference Kyrouz, Humphreys and Loomis2002; Boyle et al., Reference Boyle, Mutch, Dean, Dick and Del Mar2009), studies have shown that only a small minority of people with chronic disease use these organisations (Ellins and Coulter, Reference Ellins and Coulter2005; Gucciardi et al., Reference Gucciardi, Smith and Demelo2006). In our study, diabetes presented a contrasting picture. The large majority (81%) of patients with diabetes had a prior history of diabetes CHO contact and during the study's 12-month follow-up period, such contact occurred with similar and relatively high frequency for both the intervention (65%) and control groups (79%). The most likely explanation is that the NDSS (National Diabetes Services Scheme) established by the Australian Government in 1987 (AIHW, 2006) to provide subsidised services and products (such as insulin injecting devices and glucose monitors) and administered through the peak diabetes CHO (Diabetes Australia) has seen referral to this CHO become a relatively well accepted part of standard diabetes care.

Patients with conditions other than diabetes, where CHOs operate largely independent of medical services, conformed to the more commonly observed pattern: at baseline only a small minority (approximately 11%) of those with a main condition such as arthritis, asthma or kidney disease had ever made contact with a CHO. Patients in this group who received the intervention were twice as likely as those who did not to contact a CHO recommended for their main diagnosed condition (41% compared to 21%). That 21% of patients in the control reported making some form of contact during the 12-month study period may suggest a Hawthorne effect as this is higher than in other studies. Study participation and questions about CHO contact may have raised awareness and prompted some participants to make contact.

Of the 141 people who received the intervention package, 61% reported having at least looked at its contents and 41% reported having ultimately made some form of CHO contact. This broadly corresponds to previous observations related to the reach of self-management interventions (Fisher et al., Reference Fisher, Brownson, O'toole, Anwuri and Shetty2007). Translated to a broader population of primary care patients with chronic illness, an increase in CHO contact of this magnitude would represent substantially greater CHO usage than at present.

Reading printed materials, including CHO newsletters was the most common form of CHO activity for study participants. This, together with use of CHO information to raise awareness about the chronic illness among others, was the main form of CHO activity undertaken by those in the non-diabetes group. Notably, very few engaged in other activities, such as telephoning the CHO, attending support meetings or seminars or becoming a member. This finding suggests that many CHO users may choose and benefit from support at a distance, which contrasts with a commonly held view that equates CHOs with face-to-face meetings and ongoing contact. Patients with diabetes tended to engage more frequently in additional activities, such as using services and becoming a member. Those in the diabetes intervention group were significantly more likely to use the CHO website than those in the diabetes control group; and diabetes controls were more likely to use CHO services. These data are difficult to interpret: they may simply be anomalous, or the intervention package may have provided a prompt for people who were already engaged with the CHO to do something new (ie, seek out the CHO website).

To our knowledge, this is the first randomised controlled trial of a print-based educational strategy to increase the use of CHOs among people with chronic disease. Strengths of the study include the use of evidence-based principles (Paul et al., Reference Paul, Redman and Sanson-Fisher2004) to guide the development of the intervention materials, the inclusion of a consecutive sample of general practice patients and a relatively long (12-month) follow-up period that acknowledged the decision to contact a CHO may take place over some time.

The study has a number of limitations. The results are based on self-report data. It is possible that some participants gave socially desirable responses leading to an overestimate of the actual number who contacted a CHO. Our initial study protocol attempted to verify CHO contact, but doing so in a systematic and reliable way proved infeasible. People contacted the CHOs in different ways, including by telephone, Internet, physical attendance and return of the intervention package postcard. The demands placed on CHOs in attempting to establish and record the prompt for contact across different contact modes outweighed the benefits of doing so. We attempted to cross-check with CHOs the number of intervention package postcards received by study participants. The indication was that our results may have underestimated, rather than overestimated, the number of people who made contact.

A number of participants were lost to follow-up during the course of the study despite vigorous efforts to recontact all respondents. Nevertheless, our response rates of 81% and 59% at 4 and 12 months compare favourably with Grant et al. (Reference Grant, Goodenough, Harvey and Hine2000) who reported a loss to follow-up of 32% at four months in their trial of a CHO referral strategy. Our response rates did not differ between the intervention and control groups or across different chronic conditions. The use of intention to treat analysis addressed the possibility that those who remained in the study were more motivated to contact a CHO.

Our study aimed to increase the usage of CHOs and the primary outcome measure was confined to the CHO use. While demonstrating increased engagement with CHOs, it is not possible to draw conclusions about the outcomes of that contact. Previous research is consistent in demonstrating positive impacts for people who make contact with CHOs (Trojan, Reference Trojan1989; Grant et al., Reference Grant, Goodenough, Harvey and Hine2000; Kyrouz et al., Reference Kyrouz, Humphreys and Loomis2002; Boyle et al., Reference Boyle, Mutch, Dean, Dick and Del Mar2009) but further studies are needed to determine whether those who contact a CHO following a structured intervention to promote such contact experience positive outcomes in the longer term.

Finally, these findings are based only on patients who presented at a small number of general practices and who were able to complete a telephonic interview. Some patient groups, including those from culturally and linguistically diverse backgrounds, were under-represented in the study. Ideally, the study would have included a random sample of general practices. However, this was not possible and the challenges of initiating and maintaining GP involvement for the recruitment of patients have been well-documented in other studies (Perkins et al., Reference Perkins, Harris, Tan, Christl, Taggart and Fanaian2008). Although it is possible that participating GPs were more sympathetic towards CHOs than the general population of GPs, exit interviews with the GPs following completion of the study indicated that only a limited number had referred patients to a CHO (Young et al., Reference Young, Mutch, Boyle and Dean2010).

Conclusion

Overall, the trial provides support for a print-based intervention as a mechanism to increase access to CHOs by reaching a large number of patients with chronic disease via the primary care setting. Further refinements, including stronger doctor endorsement, may amplify its impact. GPs are viewed as a highly trustworthy source and their advice increases the likelihood of patients acting on health information (Kreuter et al., Reference Kreuter, Chheda and Bull2000).

CHOs offer an existing and relatively low-cost community resource to support chronic disease self-management. Yet, this resource is often overlooked by both health professionals and patients. Low-intensity print-based interventions that are easily implementable in the primary care setting have the potential to increase CHO usage among people with chronic disease. Such interventions are likely to be most effective in relation to the chronic disease types in which there is normally little routine referral from the medical profession into CHOs. In the Australian setting, these include arthritis, kidney disease and asthma. Establishing better referral pathways from primary care to CHOs recognises the need to offer patients with chronic disease a wide range of support options that complement and extend standard clinical care.

Acknowledgements

The research reported in this paper is a project of the Australian Primary Health Care Research Institute, which is supported by a grant from the Australian Government Department of Health and Ageing. The information and opinions contained in it do not necessarily reflect the views or policy of the Australian Primary Health Care Research Institute or the Australian Government Department of Health and Ageing.

References

Allsop, J., Jones, K.Baggott, R. 2004: Health consumer groups in the UK: a new social movement? Sociology of Health and Illness 26, 737756.CrossRefGoogle Scholar
Australian Bureau of Statistics. 2001: National health survey 2001. Canberra: Australian Bureau of Statistics.Google Scholar
Australian Bureau of Statistics. 2004: National health survey and national Aboriginal and Torres Strait Islander health survey 2004/2005. Canberra: Australian Bureau of Statistics.Google Scholar
Australian Institute of Health and Welfare. 2006: Australia's health 2006. Canberra: Australian Institute of Health and Welfare.Google Scholar
Barr, V.J., Robinson, S., Marin-Link, B., Underhill, L., Dotts, A., Ravensdale, D.Salivaras, S. 2003: The expanded chronic care model: an integration of concepts and strategies from population health promotion and the chronic care model. Hospital Quarterly 7, 7382.Google Scholar
Beesley, V.L., Janda, M., Eakin, E.G., Auster, J.F., Chambers, S.K., Aitken, J.F., Dunn, J.Battistutta, D. 2009: Gynecological cancer survivors and community support services: referral, awareness, utilisation and satisfaction. Psycho-Oncology 19, 5461.CrossRefGoogle Scholar
Bodenheimer, T. 2005: Helping patients improve their health-related behaviors: what system changes do we need? Disease Management 8, 319330.CrossRefGoogle ScholarPubMed
Boyle, F.M., Posner, T.N., Del Mar, C.B., Mclean, J.Bush, R.A. 2003: Self-help organisations: a qualitative study of successful collaboration with general practice. Australian Journal of Primary Health 9, 7579.CrossRefGoogle Scholar
Boyle, F., Mutch, A., Dean, J., Dick, M.-L.Del Mar, C. 2009: Consumer health organisations for people with diabetes and arthritis: who contacts them and why? Health and Social Care in the Community 17, 628635.CrossRefGoogle ScholarPubMed
Carroll, J.C., Gray, R.E., Orr, V.J., Chart, P., Fitch, M.Greenberg, M. 2000: Changing physicians’ attitudes toward self-help groups: an educational intervention. Journal of Cancer Education 15, 1418.Google ScholarPubMed
Centers for Disease Control and Prevention. 1999: Simply put: tips for creating easy-to-read print materials your audience will want to read and use. Georgia: Centers for Disease Control and Prevention.Google Scholar
Coppa, K.Boyle, F.M. 2003: The role of self-help groups in chronic illness management: a qualitative study. Australian Journal of Primary Health 9, 6874.CrossRefGoogle Scholar
Coulter, A.Ellins, J. 2007: Effectiveness of strategies for informing, educating, and involving patients. British Medical Journal 335, 2427.CrossRefGoogle ScholarPubMed
De Vaus, D. 2002: Surveys in social research. St Leonards, NSW: Allen & Unwin.CrossRefGoogle Scholar
Ellins, J.Coulter, A. 2005: How engaged are people in their health care? Findings of a national telephone survey. Oxford: Picker Institute Europe.Google Scholar
Fisher, E.B., Brownson, C.A., O'toole, M.L., Anwuri, V.V.Shetty, G. 2007: Perspectives on self-management from the diabetes initiative of the Robert Wood Johnson foundation. Diabetes Educator 33, S216S224.CrossRefGoogle ScholarPubMed
Gazmararian, J.A., Williams, M.V., Peel, J.Baker, D.W. 2003: Health literacy and knowledge of chronic disease. Patient Education and Counseling 51, 267275.CrossRefGoogle ScholarPubMed
Grant, C., Goodenough, T., Harvey, I.Hine, C. 2000: A randomised controlled trial and economic evaluation of a referrals facilitator between primary care and the voluntary sector. British Medical Journal 320, 419423.CrossRefGoogle ScholarPubMed
Gucciardi, E., Smith, P.L.Demelo, M. 2006: Use of diabetes resources in adults attending a self-management education program. Patient Education and Counseling 64, 322330.CrossRefGoogle ScholarPubMed
Harris, M., Smith, B.Veale, A. 2005: Printed patient education interventions to facilitate shared management of chronic disease: a literature review. Internal Medicine Journal 35, 711716.CrossRefGoogle ScholarPubMed
Infante, F.A., Proudfoot, J.G., Davies, G.P., Bubner, T.K., Holten, C.H., Beilby, J.J.Harris, M.F. 2004: How people with chronic illnesses view their care in general practice: a qualitative study. Medical Journal of Australia 181, 7073.CrossRefGoogle ScholarPubMed
Jordan, J.E.Osborne, R.H. 2007: Chronic disease self-management education programs: challenges ahead. Medical Journal of Australia 186, 8487.CrossRefGoogle ScholarPubMed
Jordan, J.E., Briggs, A.M., Brand, C.A.Osborne, R.H. 2008: Enhancing patient engagement in chronic disease self-management support initiatives in Australia: the need for an integrated approach. Medical Journal of Australia 189, S9S13.CrossRefGoogle ScholarPubMed
Kessler, R.C., Mickelson, K.D.Zhao, S. 1997: Patterns and correlates of self-help group membership in the United States. Social Policy 27, 2747.Google Scholar
Kreuter, M.W., Chheda, S.G.Bull, F.C. 2000: How does physician advice influence patient behavior? Evidence for a priming effect. Archives of Family Medicine 9, 426433.CrossRefGoogle ScholarPubMed
Kyrouz, E., Humphreys, K.Loomis, C. 2002: A review of research on the effectiveness of self-help mutual aid groups. In White, B.J. and Madara, E.J., editors, The self-help sourcebook: your guide to community and online self-help support groups, seventh edition. Cedar Knolls: American Self-Help Group Clearinghouse, 7185.Google Scholar
Lorig, K.R., Sobel, D.S., Stewart, A.L., Brown, B.W., Bandura, A., Ritter, P., Gonzalez, V.M., Laurent, D.D.Holman, H.R. 1999: Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomised trial. Medical Care 37, 514.CrossRefGoogle Scholar
Meissen, G., Wituk, S., Warren, M.L.Shepherd, M.D. 2000: Self-help groups and managed care: obstacles and opportunities. International Journal of Self Help & Self Care 1, 201210.Google Scholar
Mensing, C., Boucher, J., Cypress, M., Weinger, K., Mulcahy, K., Barta, P., Hosey, G., Kopher, W., Lasichak, A., Lamb, B., Mangan, M., Norman, J., Tanja, J., Yauk, L., Wisdom, K.Adams, C. 2007: National standards for diabetes self-management education. Diabetes Care 30, S96S103.CrossRefGoogle ScholarPubMed
Muir Gray, J.A. 2004: Self-management in chronic illness. Lancet 364, 1476714768.Google Scholar
Newman, S., Steed, L.Mulligan, K. 2004: Self-management interventions for chronic illness. Lancet 364, 15231537.CrossRefGoogle ScholarPubMed
Osborne, R.H., Jordan, J.E.Rogers, A. 2008: A critical look at the role of self-management for people with arthritis and other chronic diseases. Nature Clinical Practice Rheumatology 4, 224225.CrossRefGoogle Scholar
Paul, C., Redman, S.Sanson-Fisher, R. 1997: The development of a checklist of content and design characteristics for printed health education materials. Health Promotion Journal of Australia 7, 153159.Google Scholar
Paul, C.L., Redman, S.Sanson-Fisher, R.W. 2004: A cost-effective approach to the development of printed materials: a randomised controlled trial of three strategies. Health Education Research 19, 698706.CrossRefGoogle Scholar
Perkins, D., Harris, M., Tan, J., Christl, B., Taggart, J.Fanaian, M. 2008: Engaging participants in a complex intervention trial in Australian general practice. BMC Medical Research Methodology 8, 55.CrossRefGoogle Scholar
Shankaran, V., Mckoy, J.M., Dandade, N., Nonzee, N., Tigue, C.A., Bennett, C.L.Denberg, T.D. 2007: Costs and cost-effectiveness of a low-intensity patient-directed intervention to promote colorectal cancer screening. Journal of Clinical Oncology 25, 52485253.CrossRefGoogle ScholarPubMed
SPSS for Windows. 2006: Rel 15.0.0. Chicago: SPSS Inc.Google Scholar
Trojan, A. 1989: Benefits of self-help groups: a survey of 232 members from 65 disease-related groups. Social Science & Medicine 29, 225232.CrossRefGoogle ScholarPubMed
Urbaniak, G.Plous, S., 1997–2009: Research randomiser. USA: Social Psychology Network.Google Scholar
Von Korff, M., Gruman, J., Schaefer, J., Curry, S.J.Wagner, E.H. 1997: Collaborative management of chronic illness. Annals of Internal Medicine 127, 10971102.CrossRefGoogle ScholarPubMed
Wagner, E.H., Davis, C., Schaefer, J., Von Korff, M.Austin, B. 1999: A survey of leading chronic disease management programs: are they consistent with the literature? Managed Care Quarterly 7, 5666.Google ScholarPubMed
Wilson, J. 1999: Acknowledging the expertise of patients and their organisations. British Medical Journal 319, 771774.CrossRefGoogle ScholarPubMed
Young, C., Mutch, A., Boyle, F.Dean, J. 2010: Investigating referral pathways from primary care to consumer health organisations. Australian Journal of Primary Health 16, 260267.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1 Participant flow and response rates

Figure 1

Table 1 Sociodemographic characteristics of participants at baseline interview

Figure 2

Table 2 Contact with CHO related to main health condition as reported at either the 4-month or 12-month interviews or both