Changing illness perceptions in patients with poorly controlled type 2 diabetes, a randomised controlled trial of a family-based intervention: protocol and pilot study
- Karen M Keogh†1Email author,
- Patricia White†1,
- Susan M Smith1,
- Sinead McGilloway2,
- Tom O'Dowd1 and
- James Gibney3
© Keogh et al; licensee BioMed Central Ltd. 2007
Received: 17 May 2007
Accepted: 27 June 2007
Published: 27 June 2007
This paper presents the pilot study and protocol for a randomised controlled trial to test the effectiveness of a psychological, family-based intervention to improve outcomes in those with poorly controlled type 2 diabetes. The intervention has been designed to change the illness perceptions of patients with poorly controlled type 2 diabetes, and their family members. It is a complex psychological intervention, developed from the Self-Regulatory Model of Illness Behaviour. The important influence the family context can have in psychological interventions and diabetes management is also recognised, by the inclusion of patients' family members.
We aim to recruit 122 patients with persistently poorly controlled diabetes. Patients are deemed to have persistent poor control when at least two out of their last three HbA1c readings are 8.0% or over. Patients nominate a family member to participate with them, and this patient/family member dyad is randomly allocated to either the intervention or control group. Participants in the control group receive their usual care. Participants in the intervention group participate, with their family members, in three intervention sessions. Sessions one and two are delivered in the participant's home by a health psychologist. Session one takes place approximately one week after session two, with the third session, a follow-up telephone call, one week later. The intervention is based upon clarifying the illness perceptions of both the patient and the family member, examining how they influence self-management behaviours, improving the degree of similarity of patient and family member perceptions in a positive direction and developing personalized action plans to improve diabetes management.
This study is the first of its kind to incorporate the evidence from illness perceptions research into developing and applying an intervention for people with poorly controlled diabetes and their families. This study also acknowledges the important role of family members in effective diabetes care.
The importance of glycaemic control
A large body of evidence is now available showing that good glycaemic control in diabetes (as assessed by HbA1c) is associated with improved outcomes [1–6]. Current international guidelines recommend a HbA1c target level of approximately 6.0%–7.5% [7–9]. However, achieving good glycaemic control requires patients to follow a treatment regime which involves lifelong behavioural self-regulation through lifestyle changes (e.g. diet, exercise) and self-management skills (monitoring symptoms, testing blood glucose, taking medication). Many patients can have difficulties following this treatment regime[10, 11] and evidence suggests only about one-third of patients with type 2 diabetes achieve glycaemic targets . This has led to a call for concerted efforts to increase the proportion of patients achieving good glycaemic control . It would seem prudent then, for interventions aiming to improve outcomes in diabetes, to be particularly aimed at patients having difficulties controlling their illness.
There is growing awareness of the important role of psychosocial and behavioural factors in diabetes management , as highlighted by recommendations to integrate psychosocial support into routine diabetes care [8, 13]. Psychological interventions to improve outcomes in diabetes have been systematically reviewed by a number of different authors, [14–16], with pooled trial results suggesting psychological interventions in diabetes reduce HbA1c by a clinically significant 1% . Psychosocial interventions targeting those in poor control of their diabetes have been successful in improving glycaemic control in patients with type 1 diabetes [18–20], however there appear to be few interventions targeting those with poorly controlled type 2 diabetes.
Patients in poor control of their diabetes have been found to have distinctly different perceptions of their illness than those in good control. A study of patients with type 2 diabetes  found that compared to patients in good control (HbA1c < 7), those in poor control (HbA1c > 8.5) had a stronger perception that their illness was caused by hereditary factors, reported suffering from more diabetes-related symptoms, perceived diabetes as having significantly greater impact on their lives, and reported more negative emotions in relation to their illness. Interventions focusing on changing these illness perceptions amongst patients in poor control may lead to improved illness outcomes, including better glycaemic control. A brief intervention (3 sessions) designed to alter patients' perceptions about their recent MI was associated with significant positive changes in patients perceptions of their illness, as well as a significantly earlier return to work and lower rates of angina symptoms. However, there would appear to be few interventions which attempt to improve outcomes by explicitly targeting and measuring changes in illness perceptions in of type 2 diabetes.
The role of the family
Family interventions in type 2 diabetes
A number of authors have noted that the role of family factors in adult diabetes intervention research has been neglected, particularly in type 2 diabetes. [10, 39–41] This is despite recent evidence suggesting that the inclusion of a family member in psychosocial interventions for chronic illness may improve illness outcomes [42–45] A recent systematic review [46 Zhang & Fisher, 2005 #516] identified only one published RCTs that included a patient's family member in an intervention for patients with type 2 diabetes . This study  was based on a behavioural weight loss intervention, which included patients' spouses. The study found a significant weight loss in both control and family group. However, there was a significant interaction of treatment and gender, with women doing better than men when treated with their spouses as opposed to being treated alone.
This paper presents the pilot study and the protocol for a RCT that is currently underway to test the effectiveness of a family-based intervention, designed to change the illness perceptions of patients with poorly controlled type 2 diabetes and their family members.
To examine the effects of a psychological, family-based intervention to improve biophysical, psychosocial and behavioural outcomes for patients with poorly controlled type 2 diabetes.
To evaluate the experience of participating in the intervention.
This study is a randomised controlled trial. In order to recruit a sufficiently large sample of patients with poorly controlled diabetes, participants are being recruited from diabetes specialist clinics, rather than from a primary care setting. In Ireland, the majority of patient's with type 2 diabetes in poor control of their illness are referred by their GP to a specialist clinic, and are mainly managed there. Thus, it would not have been possible to recruit the required number of participants in poor control of their diabetes from a primary care setting.
There will be two groups of participants in the study; patients with poorly controlled type 2 diabetes and their family members. A record will be kept of all clinic attendees who do not wish to participate and their reasons for non-participation. Participants and non-participants will be compared across a number of variables (e.g. age, gender etc) to investigate any sub-group differences.
Inclusion and exclusion criteria
People with poorly controlled type 2 diabetes
People with type 2 diabetes are included in the trial if they are over 18 years of age, have fluency in English, have type 2 diabetes for more than one year, and at least two out of their last three HbA1c readings haven been 8.0% or over, in order to identify patients' with persistent poor control. (A HbA1C reading of 8% or over is a recognised value for poor metabolic control of diabetes .) Patients with a life-threatening physical illness (e.g. cancer, renal failure) will be excluded. Patients with a severe and enduring mental disorder (e.g. dementia, schizophrenia) as determined by the patients' clinician, will also be excluded. Patients not responsible for their own care, or those not residing in their home environment will be excluded (e.g. those in care homes, prison, in-patient hospital wards). Patients with hearing impairments will also be excluded. Patients who took part in the pilot study, and those who took part in a previous study conducted in the same diabetes clinic will be excluded.
Family members of participants with type 2 diabetes
Participants with poorly controlled type 2 diabetes recruited to the study will be asked to nominate a family member to participate in the research with them. For the purposes of this study family members will be defined as any relative in regular contact with the person with diabetes, and who is most involved in supporting that person in the management of their illness. As most people with diabetes manage their illness themselves, the family member for this study is not a carer, but someone with whom the person with diabetes has a close relationship. This may include a spouse/partner, parent, grandparent, child, grandchild, siblings, or other family members. The inclusion criteria for a family member are that they must be over 18 years of age and have no medical history of type 1 or type 2 diabetes.
During the twice-weekly out-patients clinics eligible patients will be approached by the researcher, given information about the study and invited to participate. On agreement, they will be asked provide their written informed consent, and to complete the baseline questionnaires with the researcher (this will take on average fifteen minutes). These questionnaires consist of demographic questions, the brief-illness perceptions questionnaire , the well-being 12 scale , the diabetes management self-efficacy scale , the diabetes family behaviour checklist and the summary of diabetes self-care daily activities ). At this appointment time their HbA1c, blood pressure, and body-mass index will also be taken. The person with diabetes will also be given a questionnaire pack containing the family member measures, and asked to ensure their nominated family member completes the questionnaires and returns them by post to the researcher, prior to commencement of the intervention. The family member questionnaire include demographic questions, and adapted versions of the brief illness perceptions questionnaire and the diabetes family behaviour checklist .
At six months post-intervention (approximately 24 weeks from the time of randomisation), control and intervention participants will be invited back to the diabetes clinic in the same staggered manner as they were recruited. At this time point, HbA1c, blood pressure, cholesterol and body-mass index will be taken again and recorded. The baseline questionnaires will also be re-administered. In addition, a record will be kept of participation rates throughout the intervention and reasons for non-participation where possible. Participants will again be given a questionnaire pack containing the family member measures, and asked to ensure that their nominated family member completes the questionnaires and returns them to the researcher by post.
After consent and baseline data have been collected from the first 40 patients, they will be randomized into intervention and control groups by using computer generated random number tables. The main investigators will not be involved in the randomisation procedure, which will be carried out by an independent expert. The use of block randomisation means that the intervention can be delivered in a staggered manner, with some participants beginning the intervention while further recruitment continues. When the next 40 patients are recruited, they will then be randomly allocated to intervention or control groups, and so on, until 122 patients are included in the trial. Due to the psychological nature of the intervention, it is not possible for the investigator delivering the intervention to be blind to participants' treatment allocation group.
Sample case study for intervention
FC, male mid 50's, with poorly controlled type 2 diabetes. He says he understands very little about his diabetes (illness coherence), but that he feels it has a huge impact on his life e.g. he hates taking the medication, he is tired all the time etc (consequences). FC doesn't believe lifestyle factors are important in controlling his illness (control), because he believes the causes of the illness are purely genetic (he believes he inherited the illness from his mother – causal). His wife, MC, believes that while she does not understand the diabetes, her husband understands his diabetes very well (coherence), but that it has very little impact or effect on his life (consequences); She also thinks that he is over-reacting when he complains about it. She believes his diabetes was caused by stress (cause), and if he stopped working so much and took more time to relax, his condition would improve (control). She also does not recognise the importance of lifestyle factors such as diet and exercise for controlling diabetes (control), because she thinks the illness is stress-related and continues to prepare high-fat, high-sugar meals for her husband.
The intervention sessions with this couple could be tailored to focus on clarifying the causal dimension of illness perceptions of both participants, by focusing on the risk factors associated with developing type 2 diabetes. In particular, the importance of lifestyle factors in controlling the illness could be emphasised, and attempts to improve the patient's level of personal control over the illness. The intervention could also focus on highlighting and resolving differences between the patient's and family member's illness perceptions, such as the discrepancy between the perceived consequences and levels of understanding between the patient and his wife. A written, personalised action plan to improve control of the patient's diabetes could then be developed in collaboration with the patient and his wife. This could include, for example, an agreement for the patient and his wife to take time to go out walking together three times a week, to reduce the levels of fatty and sugary foods consumed etc.
The intervention that is the focus of this study is relatively brief, in view of recent research suggesting that briefer psychosocial interventions can be more easily integrated into routine care. Due to the brief nature of the intervention and its emphasis on behaviour change, techniques from brief motivational interviewing  will be used to deliver the intervention. These techniques have been successfully used in other brief interventions of this type [55, 56]. The intervention will consist of three sessions delivered on a weekly basis, the first two of which will take place in the patient's home with their family member, and the last one of which consists of a phone call to the person with diabetes. Sessions will be delivered by a health psychologist who is trained in motivational interviewing techniques. Each session will last approximately 40 minutes.
Sample size and rate of recruitment
Taking HbA1c and Diabetes Well-being as primary outcomes, a total sample size of 76 and 86 respectively, were calculated. This was using 80% power to detect a significant absolute change of 0.9% in glycaemic control (this absolute change has been related to clinical outcomes in the UK prospective diabetes study,  and of 3 points in the Diabetes Well-being Scale-12. These calculations also allow for an anticipated "Hawthorn effect" relating to an improvement of 20% for those in the control group, by virtue of the fact that they are participating in the research. Taking the larger number of86 participants (43 inintervention and 43 in control group), a final total number of 122 participants (61 in each group) is needed to ensure at least a 70% final response rate is met. Previous research in the diabetes clinic  has shown that it is possible for one researcher to see approximately two to three eligible patients per clinic. Thus, it is estimated that it will take approximately 8–10 weeks to recruit the required 40 participants for the first block for randomisation.
Participants with type 2 diabetes (in the intervention group only) will be asked to complete a brief diary on a weekly basis for the first six weeks and every second week for the remaining eighteen weeks. Diaries will be structured to allow for the examination of the intervention and the process of change over time. In order to maximize compliance to filling in the diary, weekly/fornightly text messages will be sent to remind participants to fill in their diary. A computer program will be used to send text messages to a large number of mobile phones at regular intervals.
Process evaluation components
Process Evaluation Questions
Data Collection Tool
Was the intervention properly delivered?
Treatment fidelity to different components.
Monitor dose/participant exposure to intervention components
1.10% of sessions randomly selected to be taped and analysed by independent expert in illness perceptions and motivational interviewing.
Tapes analysed qualitatively and quantitatively using MI & IP checklists.
Randomly selected sub-sample of intervention participant's.
Collecting during intervention delivery.
1.Participants views of the intervention and partaking in the RCT.
1.Open-ended questionnaires for all participants in control and intervention groups
1. All participants
1. Collected at follow-up data collection
2.Appropriateness of use of intervention and techniques for type 2 diabetes
2. Focus groups with sub-sample of intervention participants
2. Sub-sample of intervention participant's.
2. Collection post-follow-up
What was the effect of various setting/contextual factors. e.g. interruptions during session, family dynamic, mood, etc.
Structured field notes questionnaire (e.g. how long each session, where in home delivered, interruptions, dynamic, etc)
Collecting during intervention delivery.
Sub-groups variations (e.g. family member involved)
Interventionist observations – field diary
SPSS Version 13.01 for Windows will be used in the analysis. Differences in biomedical, psychosocial and illness-specific outcomes between the intervention and control group will be analyzed for the two time-points (baseline and 6 months post- intervention). Further statistical analysis will be based on repeated measures analysis of variance. Statistical significance will be taken at the 5% level for primary outcomes, and at 1% level for secondary outcomes.
Qualitative data will be analysed using phenomenological techniques. Both content analysis and thematic analysis will be applied to the data
Trial organisation and management
The trial is being managed by the Department of Public Health and Primary Care, Trinity College Dublin, and the Diabetes Centre, Adelaide and Meath incorporating the National Children's Hospital, Tallaght, Dublin. Ethical approval was obtained from the Joint Research Ethics Committee of St. James's Hospital and the Federated Dublin Voluntary Hospitals
The pilot study showed that the procedures, measures, and delivery of the intervention worked well and recruitment began for the main study in October 2006. However, following the pilot study, it was considered necessary to change one of the measures to be used in the RCT. Following feedback from some of the participants showing that the original self-efficacy measure was quite difficult for them to understand; this measure was replaced by the Diabetes Management Self-Efficacy Scale. The rate of recruitment for the pilot was also slower than anticipated. To ensure sufficient numbers of participants were recruited for the main trial, it was decided it would be necessary to recruit participants for the main trial from an additional weekly clinic.
This trial aims to assess the effectiveness of a family-based, psychological intervention to improve outcomes in those with poorly-controlled type 2 diabetes. The intervention recognises the important role of family members in effective diabetes care, and it is the first of its kind to adapt evidence from the illness perceptions research to an intervention for people with poorly-controlled diabetes and their families.
The intervention is based on a clearly specified theoretical framework; Leventhal's Self-Regulatory Model of Illness Behaviour [21, 22]. There is much empirical evidence showing that the concepts of this model are related to illness outcomes in diabetes, and illness perception interventions in various disease populations have also been successful in changing illness perceptions and improving illness outcomes .
The study is further located within three main theoretical frameworks outlined by Matire and colleagues , including the bio-psychosocial model e.g. , martial and family system framework e.g, and family care-giving and receiving model e.g. , with some evidence to suggest family members own illness perceptions of the patients illness can influence outcomes. It has been proposed that family members may influence outcomes in physical health by means of a psychophysiological and/or health behaviour pathway, [42, 43]. This intervention targets both of these pathways insofar as it attempts to change negative illness perceptions and increase the degree of similarity of patient and family member perceptions. These may in turn directly impact upon self-management behaviours (e.g. through increased self-efficacy, support for diabetes-specific activities), and indirectly improve the nature and quality of family functioning and interactions (e.g. through increased understanding, more general support).
This trial includes a combination of both process indicators and outcome measures as recommended by a number of authors [57, 58, 62], The process evaluation component will provide detailed information on how the intervention was delivered and received, which will allow for increased generalisability of results, whilst also ensuring quality through the assessment of treatment fidelity. A primary aim of the process evaluation is to establish why the intervention achieved its results. Thus, if the intervention has little or no impact on outcomes, the process evaluation data should uncover whether this was due to inadequate design (a failure of concept/theory), poor delivery (implementation failure) and/or or other factors.
The trial is funded by a research project grant (RP/2005/178) from the Irish Health Research Board.
- DCCT: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group. N Engl J Med. 1993, 329 (14): 977-986. 10.1056/NEJM199309303291401.View ArticleGoogle Scholar
- DCCT: Effect of intensive therapy on the microvascular complications of type 1 diabetes mellitus. Jama. 2002, 287 (19): 2563-2569. 10.1001/jama.287.19.2563.View ArticleGoogle Scholar
- UKPDS 38: Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group. Bmj. 1998, 317 (7160): 703-713.View ArticleGoogle Scholar
- UKPDS 33: Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998, 352 (9131): 837-853. 10.1016/S0140-6736(98)07019-6.View ArticleGoogle Scholar
- Ohkubo Y, Kishikawa H, Araki E, Miyata T, Isami S, Motoyoshi S, Kojima Y, Furuyoshi N, Shichiri M: Intensive insulin therapy prevents the progression of diabetic microvascular complications in Japanese patients with non-insulin-dependent diabetes mellitus: a randomized prospective 6-year study. Diabetes Res Clin Pract. 1995, 28 (2): 103-117. 10.1016/0168-8227(95)01064-K.View ArticlePubMedGoogle Scholar
- Shichiri M, Kishikawa H, Ohkubo Y, Wake N: Long-term results of the Kumamoto Study on optimal diabetes control in type 2 diabetic patients. Diabetes Care. 2000, 23 Suppl 2: B21-9.PubMedGoogle Scholar
- Anonymous: Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 2007, 30: S42-10.2337/dc07-S042.View ArticleGoogle Scholar
- IDF Clinical Guidelines Task Force: Global Guidelines for Type 2 Diabetes. 2005, International Diabetes FederationGoogle Scholar
- McIntosh A: Clinical guidelines and evidence review for Type 2 diabetes: management of blood glucose. 2001, Sheffield , ScHARR. University of SheffieldGoogle Scholar
- Gonder-Frederick LA, Cox DJ, Ritterband LM: Diabetes and behavioral medicine: the second decade. J Consult Clin Psychol. 2002, 70 (3): 611-625. 10.1037/0022-006X.70.3.611.View ArticlePubMedGoogle Scholar
- DCCT: The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the diabetes control and complications trial. Diabetes. 1995, 44 (8): 968-983. 10.2337/diabetes.44.8.968.View ArticleGoogle Scholar
- Massi-Benedetti M: Changing targets in the treatment of type 2 diabetes. Curr Med Res Opin. 2006, 22 Suppl 2: S5-13. 10.1185/030079906X112714.View ArticlePubMedGoogle Scholar
- ADA: Standards of Medical Care in Diabetes-2007. Diabetes Care. 2007, 30: S4-10.2337/dc07-S004.View ArticleGoogle Scholar
- Steed L, Cooke D, Newman S: A systematic review of psychosocial outcomes following education, self-management and psychological interventions in diabetes mellitus. Patient Educ Couns. 2003, 51 (1): 5-15. 10.1016/S0738-3991(02)00213-6.View ArticlePubMedGoogle Scholar
- Norris SL, Engelgau MM, Narayan KM: Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. Diabetes Care. 2001, 24 (3): 561-587. 10.2337/diacare.24.3.561.View ArticlePubMedGoogle Scholar
- Hampson SE, Skinner TC, Hart J, Storey L, Gage H, Foxcroft D, Kimber A, Shaw K, Walker J: Effects of educational and psychosocial interventions for adolescents with diabetes mellitus: a systematic review. Health Technol Assess. 2001, 5 (10): 1-79.View ArticlePubMedGoogle Scholar
- Ismail K, Winkley K, Rabe-Hesketh S: Systematic review and meta-analysis of randomised controlled trials of psychological interventions to improve glycaemic control in patients with type 2 diabetes. Lancet. 2004, 363 (9421): 1589-1597. 10.1016/S0140-6736(04)16202-8.View ArticlePubMedGoogle Scholar
- Conget I, Jansa M, Vidal M, Vidal J, Manzanares JM, Gomis R: Effects of an individual intensive educational control program for insulin-dependent diabetic subjects with poor metabolic control. Diabetes Res Clin Pract. 1995, 27 (3): 189-192. 10.1016/0168-8227(95)01041-B.View ArticlePubMedGoogle Scholar
- Snoek FJ, van der Ven NC, Lubach CH, Chatrou M, Ader HJ, Heine RJ, Jacobson AM: Effects of cognitive behavioural group training (CBGT) in adult patients with poorly controlled insulin-dependent (type 1) diabetes: a pilot study. Patient Educ Couns. 2001, 45 (2): 143-148. 10.1016/S0738-3991(01)00113-6.View ArticlePubMedGoogle Scholar
- Zoffmann V, Lauritzen T: Guided self-determination improves life skills with type 1 diabetes and A1C in randomized controlled trial. Patient Educ Couns. 2006, 64 (1-3): 78-86. 10.1016/j.pec.2005.11.017.View ArticlePubMedGoogle Scholar
- Leventhal H, Brissette I, Leventhal EA, Cameron LD, Leventhal H: The common-sense model of self-regulation of health and illness. The self-regulation of health and illness behaviour. 2003, Routledge, 42-65.Google Scholar
- Leventhal H, Diefenbach M, Leventhal EA: Cognitive Therapy and Research. 1992, Springer, 16 (2): 143-163. 10.1007/BF01173486. Illness cognition: Using common sense to understand treatment adherence and affect cognition interactions, Cognitive perspectives in health psychology.Google Scholar
- Leventhal H: The common-sense representation of illness danger. Medical Psychology. Edited by: S R. 1980, New York , Pergamon Press, II: 7-30.Google Scholar
- Lau RR, Hartman KA: Common sense representations of common illnesses. Health Psychology. 1983, Lawrence Erlbaum Associates, 2 (2): 167-185.
- Eiser JR, Riazi A, Eiser C, Hammersley S, Tooke JE: Predictors of psychological well-being in Types 1 and 2 diabetes. Psychology & Health. 2001, Taylor & Francis, 16 (1): 99-110.
- Glasgow RE, Hampson SE, Strycker LA, Ruggiero L: Personal-model beliefs and social-environmental barriers related to diabetes self-management. Diabetes Care. 1997, 20 (4): 556-561. 10.2337/diacare.20.4.556.View ArticlePubMedGoogle Scholar
- Hampson SE, Glasgow RE, Toobert DJ: Personal models of diabetes and their relations to self-care activities. Health Psychol. 1990, 9 (5): 632-646. 10.1037/0278-6126.96.36.1992.View ArticlePubMedGoogle Scholar
- Hampson SE, Glasgow RE, Foster LS: Personal models of diabetes among older adults: relationship to self-management and other variables. Diabetes Educ. 1995, 21 (4): 300-307.View ArticlePubMedGoogle Scholar
- Paschalides C, Wearden AJ, Dunkerley R, Bundy C, Davies R, Dickens CM: The associations of anxiety, depression and personal illness representations with glycaemic control and health-related quality of life in patients with type 2 diabetes mellitus. Journal of Psychosomatic Research. 2004, Elsevier Science, 57 (6): 557-564. 10.1016/j.jpsychores.2004.03.006.
- Watkins KW, Connell CM, Fitzgerald JT, Klem L, Hickey T, Ingersoll-Dayton B: Effect of adults' self-regulation of diabetes on quality-of-life outcomes. Diabetes Care. 2000, 23 (10): 1511-1515. 10.2337/diacare.23.10.1511.View ArticlePubMedGoogle Scholar
- Griva K, Myers LB, Newman S: Illness perceptions and self efficacy beliefs in adolescents and young adults with insulin dependent diabetes mellitus. Psychology & Health. 2000, Taylor & Francis, 15 (6): 733-750.
- Hampson SE, Glasgow RE, Strycker LA: 'Beliefs versus feelings: A comparison of personal models and depression for predicting multiple outcomes in diabetes': Erratum. British Journal of Health Psychology. 2000, British Psychological Society, 5:Google Scholar
- White P: Psychosocial determinants of glycaemic control in type 2 diabetes. 2001, Dept. Public Health and Primary Care, Trinity College DublinGoogle Scholar
- Petrie KJ, Cameron LD, Ellis CJ, Buick D, Weinman J: Changing illness perceptions after myocardial infarction: an early intervention randomized controlled trial. Psychosom Med. 2002, 64 (4): 580-586.View ArticlePubMedGoogle Scholar
- Leventhal H: Reactions of families to illness: theoretical models and perspectives. Health, Illness and Families: A lifespan perspective. Edited by: Kerns DTR. 1986, NY , WileyGoogle Scholar
- Heijmans M, de Ridder D, Bensing J: Dissimilarity in patients' and spouses' representations of chronic illness: Exploration of relations to patient adaptation. Psychology & Health. 1999, Taylor & Francis, 14 (3): 451-466.
- Figueiras MJ, Weinman J: Do similar patient and spouse perceptions of myocardial infarction predict recovery?. Psychology & Health. 2003, Taylor & Francis, 18 (2): 201-216. 10.1080/0887044021000057266.
- White P, Smith SM, O'Dowd T: Living with Type 2 diabetes: a family perspective. Diabet Med. 2007Google Scholar
- Fisher L, Chesla CA, Bartz RJ, Gilliss C, Skaff MA, Sabogal F, Kanter RA, Lutz CP: The family and type 2 diabetes: a framework for intervention. Diabetes Educ. 1998, 24 (5): 599-607. 10.1177/014572179802400504.View ArticlePubMedGoogle Scholar
- Hixenbaugh P: Diabetes. The Psychology of Health. Edited by: (s). IMPKP. 1998, London , RoutledgeGoogle Scholar
- White P, Smith SM, O'Dowd T: Irish Journal of Psychology. 2005, Psychological Society of Ireland/Cumann Siceolaithe Eireann, 26 (1): 9-15. The role of the family in adult chronic illness: A review of the literature on type 2 diabetes, Preventing ill health: psychological risk factors and behavioural interventions.Google Scholar
- Campbell TL: The effectiveness of family interventions for physical disorders. J Marital Fam Ther. 2003, 29 (2): 263-281. 10.1111/j.1752-0606.2003.tb01204.x.View ArticlePubMedGoogle Scholar
- Fisher L, Weihs KL: Can addressing family relationships improve outcomes in chronic disease? Report of the National Working Group on Family-Based Interventions in Chronic Disease. J Fam Pract. 2000, 49 (6): 561-566.PubMedGoogle Scholar
- Martire LM: The 'Relative' Efficacy of Involving Family in Psychosocial Interventions for Chronic Illness: Are There Added Benefits to Patients and Family Members?. Families, Systems, & Health. 2005, Educational Publishing Foundation, 23 (3): 312-328. 10.1037/1091-75188.8.131.522.
- Weihs K, Fisher L, Baird M: Families, health, and behavior: A section of the commissioned report by the Committee on Health and Behavior: Research, Practice, and Policy Division of Neuroscience and Behavioral Health and Division of Health Promotion and Disease Prevention Institute of Medicine, National Academy of Sciences. Families, Systems & Health. 2002, Kluwer Academic/Human Sciences Press, 20 (1): 7-46.
- Armour TA, Norris SL, Jack L, Zhang X, Fisher L: The effectiveness of family interventions in people with diabetes mellitus: a systematic review. Diabet Med. 2005, 22 (10): 1295-1305. 10.1111/j.1464-5491.2005.01618.x.View ArticlePubMedGoogle Scholar
- Wing RR, Marcus MD, Epstein LH, Jawad A: A "family-based" approach to the treatment of obese type II diabetic patients. J Consult Clin Psychol. 1991, 59 (1): 156-162. 10.1037/0022-006X.59.1.156.View ArticlePubMedGoogle Scholar
- Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, Hadden D, Turner RC, Holman RR: Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. Bmj. 2000, 321 (7258): 405-412. 10.1136/bmj.321.7258.405.View ArticlePubMedPubMed CentralGoogle Scholar
- Broadbent E, Petrie KJ, Main J, Weinman J: The brief illness perception questionnaire. J Psychosom Res. 2006, 60 (6): 631-637. 10.1016/j.jpsychores.2005.10.020.View ArticlePubMedGoogle Scholar
- Bradley C: The 12-Item Well-Being Questionnaire: origins, current stage of development, and availability. Diabetes Care. 2000, 23 (6): 875-10.2337/diacare.23.6.875.View ArticlePubMedGoogle Scholar
- Bijl JV, Poelgeest-Eeltink AV, Shortridge-Baggett L: The psychometric properties of the diabetes management self-efficacy scale for patients with type 2 diabetes mellitus. J Adv Nurs. 1999, 30 (2): 352-359. 10.1046/j.1365-2648.1999.01077.x.View ArticlePubMedGoogle Scholar
- Schafer LC, McCaul KD, Glasgow RE: Supportive and nonsupportive family behaviors: relationships to adherence and metabolic control in persons with type I diabetes. Diabetes Care. 1986, 9 (2): 179-185. 10.2337/diacare.9.2.179.View ArticlePubMedGoogle Scholar
- Toobert DJ, Hampson SE, Glasgow RE: The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000, 23 (7): 943-950. 10.2337/diacare.23.7.943.View ArticlePubMedGoogle Scholar
- Miller WR, Rollnick S: Motivational interviewing: Preparing people for change (2nd ed.). 2002, Guilford PressGoogle Scholar
- Clark M, Hampson SE, Avery L, Simpson R: Effects of a tailored lifestyle self-management intervention in patients with type 2 diabetes. Br J Health Psychol. 2004, 9 (Pt 3): 365-379. 10.1348/1359107041557066.View ArticlePubMedGoogle Scholar
- The Diabetes Prevention Program: The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes. Diabetes Care. 1999, 22 (4): 623-634. 10.2337/diacare.22.4.623.View ArticleGoogle Scholar
- Helitzer DL, Davis SM, Gittelsohn J, Going SB, Murray DM, Snyder P, Steckler AB: Process evaluation in a multisite, primary obesity-prevention trial in American Indian schoolchildren. Am J Clin Nutr. 1999, 69 (4 Suppl): 816S-824S.PubMedPubMed CentralGoogle Scholar
- Oakley A, Strange V, Bonell C, Allen E, Stephenson J: Process evaluation in randomised controlled trials of complex interventions. Bmj. 2006, 332 (7538): 413-416. 10.1136/bmj.332.7538.413.View ArticlePubMedPubMed CentralGoogle Scholar
- Engel G: The need for a new medical model: A challenge for biomedicine. Science. 1977, 196 (129-136):
- Kiecolt-Glaser JK: Marriage and health: His and hers. Psychological Bulletin. 2001, 127 (472-503):
- Aneshensel CS: Profiles in care-giving: The unexpected career. 1995, New York , Academic PressGoogle Scholar
- Audrey S, Holliday J, Parry-Langdon N, Campbell R: Meeting the challenges of implementing process evaluation within randomized controlled trials: the example of ASSIST (A Stop Smoking in Schools Trial). Health Educ Res. 2006, 21 (3): 366-377. 10.1093/her/cyl029.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2296/8/36/prepub
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