- Study protocol
- Open Access
- Open Peer Review
Shared care management of patients with type 2 diabetes across the primary and secondary healthcare sectors: study protocol for a randomised controlled trial
© Munch et al. 2016
- Received: 10 March 2016
- Accepted: 26 May 2016
- Published: 4 June 2016
The prevalence of type 2 diabetes (T2D) is growing globally and hospital-based outpatient clinics are burdened with increasing numbers of patients. To ensure high quality treatment and care, it is necessary to structurally reorganise the management of patients with T2D. The objective of this study is to test if T2D patients (who are at intermediate risk of or are already having incipient diabetic complications) jointly managed by a hospital-based outpatient clinic and general practitioners (shared care programme) have a non-inferior outcome compared to an established programme in a specialised (hospital based) outpatient diabetes clinic.
The study is designed as a randomised controlled trial. The shared care model will be tested during a period of 3 years, with data collection at baseline and at 12, 24 and 36 months. All patients will be offered four medical visits a year; the shared care intervention consists of one annual comprehensive check-up at the outpatient clinic and three quarterly visits at the general practitioners’ office. The control group will be followed with four quarterly visits at the outpatient clinic, including an annual comprehensive check-up. In the outpatient clinic, the patients will be treated by a specialised diabetes team, including an endocrinologist. On the basis of a predefined stratification model, we will recruit patients stratified to be at intermediate risk of or already having incipient diabetic complications. We plan to include 140 patients. The primary outcome is glycated haemoglobin. Other outcome measures include (1) the proportion of patients who meet the Danish standard indicators reflecting quality of care; (2) quality of life measured by Short Form 36; and (3) the functionality of the patients’ families measured by Family Assessment Measure III. The experiences of the patients and families when participating in the shared care program will be explored by collecting dyadic interviews.
This study will evaluate the quality of a shared care programme for patients with T2D, and provide evidence about advantages and disadvantages compared with a programme in a specialised outpatient clinic. The results may provide important information on how to organise the care for patients with T2D in the future.
This trial was registered with Clinicaltrials.gov on 21 October 2015, registration number: NCT02586545.
- Diabetes care
- Diabetes complications
- Randomised controlled trial
- Risk stratification
- Shared care
- Type 2 diabetes
The incidence and prevalence of type 2 diabetes (T2D) are increasing globally [1–3]. T2D is a multifactorial and chronic disease associated with serious complications and co-morbidities, and it is among the 10 leading causes of death worldwide [4, 5]. The number of adults with diabetes is estimated to rise by 55 % during a 22-year period, from 382 million individuals in 2013 to 592 million individuals in 2035 [2, 3]. Compared to the general population, patients with T2D have increased morbidity and mortality [6–8] due to an increased risk of microvascular complications and macrovascular disease . Living with diabetes is also associated with major psychosocial implications and impaired quality of life [9, 10]. Furthermore, the disease causes considerable socioeconomic expenditures and healthcare costs, especially with emerging and manifest complications to the disease [3, 11, 12]. In order to prevent or delay diabetic complications, it is essential to stabilise and treat hyperglycaemia, elevated blood pressure and dyslipidaemia [13–15]. The treatment targets for these indicators are defined in evidence-based guidelines, but treatment goals are too often not achieved [16, 17]. The increasing prevalence of T2D also challenges the healthcare systems in terms of how to prioritise the limited resources. Therefore, the need for considering alternative organisational models for the management of T2D, ensuring high quality care, is urgent.
During the last decades, numerous models of diabetes management have been evaluated; among these are shared care models [18, 19]. Shared care can be defined as a joint delivery of care conducted in cooperation between general practitioners (GP) and medical specialists . In most shared care models, the GP is guided in the management of T2D on the individual patient level by the specialised team [21–24]. Thus, the patient may benefit from the broad knowledge of the GP and the expertise of the medical specialists. Furthermore, there may be economic savings for the community as visits at hospital-based outpatient clinics, in general, are more expensive than GP visits. The challenges of shared care may be the difficulty in keeping track of the patients’ visiting schedule in the transition from one healthcare sector to another and potential loss of information across the interface of the primary and secondary healthcare sectors. Moreover, there is a risk of dilution of responsibility for the individual patient among the different healthcare professionals, potentially leading to ineffective decision-making and care. According to a previous Cochrane review, insufficient favourable evidence was found to support shared care programmes for patients with chronic diseases . This conclusion, however, is limited by the interventions being complex and multifaceted as well as the methodological shortcomings and inadequate length of follow-up of the studies included in the review. Furthermore, the review did not test shared care programmes specifically for patients with T2D, but for chronic diseases in general.
An Australian observational study tested a community-based T2D management programme run by specially trained, primary care physicians, who were supported by an on-site endocrinologist . They found a significant decrease in glycated haemoglobin (HbA1c) among patients in the intervention group at 12-months’ follow-up, but no change among patients in the control group. The latter consisted of patients in long-term follow-up at the outpatient clinic. However, this result may be biased because of lack of randomisation, as the intervention was not offered to all patients, but only to those who were referred by their GP to the outpatient clinic during the study period. Furthermore, the patients in the intervention group had significantly higher HbA1c than the control group at baseline, but at 12-months follow-up the HbA1c was similar in the two groups. In an Irish trial , general practice clinics were randomised to conduct either usual care or shared care to patients with T2D. Shared care consisted of educational programmes for healthcare professionals in the general practices, as well as an annual diabetes review performed in a specialised outpatient clinic. They found no significant differences in HbA1c at 18-months follow-up.
Future studies testing the effectiveness of shared care interventions are recommended to be developed within research settings and also with high-quality design, well-defined interventions, and with an extended length of follow-up period . According to Danish regional guidelines, patients with T2D in intermediate risk for progress of diabetic complications, identified via a risk stratification model, are recommended to be followed in tight collaboration between GP and specialised and hospital-based outpatient clinics . In line with these recommendations, we plan a randomised controlled trial to test a shared care model in a well-defined group of patients with T2D, with well-defined transition and decision making across the healthcare sectors.
The study is a cross-sectional study with several settings. The intervention takes place in the diabetes outpatient clinic at Gentofte Hospital, University of Copenhagen, Hellerup, Denmark, as well as in a number of general practices in the Capital Region of Denmark. The control group is managed solely in the outpatient clinic at Gentofte Hospital placed in northern Copenhagen, Denmark. Gentofte Hospital covers four municipalities with a total population of approximately 224,000 inhabitants, and with approximately 10,000 inhabitants diagnosed with diabetes [22, 23]. There are 106 general practices located in the four municipalities with a total of 150 GPs. The hospital-based outpatient clinic is staffed by a diabetes team consisting of endocrinologists with special interest in diabetes, diabetes nurses, a dietician, podiatrists, and trained nurses who perform fundus photography, which are evaluated by ophthalmologists. Currently, the diabetes team is responsible for the care of approximately 1200 patients with T2D.
Risk stratification model for patients with type 2 diabetes
Blood pressure, systolic/diastolic (mm Hg)
Severe insulin resistancea
Very fluctuating plasma glucoseb or severe hypoglycaemia
One previous MACE
>1 MACE, symptomatic CVD or NYHA II-IV
Diabetic foot disease
Peripheral neuropathyc or artery diseased
Previous or existing ulcer or Charcot foot
No or simplex retinopathy
Progression of retinopathy
Macula oedema or proliferative retinopathy
Patients are excluded if they have other types of diabetes than T2D, are at risk stratification level 1 or 3 (Table 1), are pregnant or breastfeeding, have severe co-morbidity with a life expectancy less than 5 years, or are under such conditions that they will not be able to attend or complete the appointments (e.g. due to dementia or psychiatric conditions). Furthermore, we will exclude patients who are either participating in other studies that potentially may affect the primary outcome of our study, or patients participating in studies which include blood sampling amounting to > 5 % of the blood volume in a 2 month period prior to the randomisation and/or the follow-up visits. The risk stratification level is assessed by the endocrinologist during the 12- and 24-months follow-up. If the patient has shifted from level 2 to level 3, the patient is excluded from the study. These patients will be offered long-term follow-up in the diabetes outpatient clinic. Patients changing from level 2 to level 1 will continue their participation in the study.
Patients will be randomised to the intervention or control groups in a 1:1 ratio. The randomisation sequence is computer generated by a statistician, who is not participating in the study. A secretary in the outpatient clinic will handle the script and instructions. The secretary will prepare sealed envelopes in accordance with instructions, and the envelopes will be stored and administered by the secretary during the period of inclusion. There will be an envelope prepared for each GP, and we will randomise the patients in blocks of two since we aim at each GP having an equal number of patients in the intervention and control group. The randomisation will be performed immediately after the baseline screening visit. Healthcare professionals involved in the study, including the principal investigator, will be blinded to the randomisation process. The allocation will be revealed after the screening visit. Further blinding is not possible due to the circumstances of the intervention.
Patients in the control group will be attending a well-established visiting algorithm consisting of four visits a year with the diabetes team at the outpatient clinic, namely an annual comprehensive check-up, identical to the one received by the intervention group, and three quarterly visits. During the three quarterly visits, they will be seen by an endocrinologist according to the visiting algorithm (Fig. 3). Patients receiving usual care will be offered lifestyle rehabilitation services such as patient education, physical activity and dietician consultations at the hospital. Any questions or uncertainties concerning their T2D should be addressed to the healthcare professionals at the outpatient clinic.
All study data will be collected in connection with the annual comprehensive check-up in the outpatient clinic at the baseline-screening visit, as well as 12, 24 and 36 months after baseline. Data will be obtained from medical records, laboratory databases, self-reported patient questionnaires and face-to-face by the primary investigator who does not take part in the treatment or care of the patients. All data will be registered in an Epidata database . The database is stored at Gentofte Hospital in a secure purpose-designed password-protected web-based file system.
The primary outcome is the difference in mean HbA1c between the two groups measured at 12-, 24- and 36-months follow-up. The secondary outcome is the proportion of patients who meet the set of Danish standard indicators reflecting quality of care at 12, 24 and 36 months follow-up . These indicators cover seven areas, including HbA1c, blood pressure, low density lipoprotein, albuminuria, fundus photography, foot examination, smoking status and proper treatment and control of these factors. The indicators are primarily based on process variables, but do include a few numerical variables.
Other outcomes are listed below:
Clinical characteristics: Blood pressure, weight and body mass index.
Diabetes-related laboratory parameters and characteristics: C-peptide, insulin, lipids, liver function tests, kidney function tests, electrolytes, coagulation factors, thyroid-stimulating hormone, cardiovascular biomarkers, vitamin D, urine albumin/creatinine ratio, and registration of diabetes-related medication.
Healthcare professionals’ experiences with shared care: A questionnaire evaluating the experiences of the participating GPs and the endocrinologists after the completion of the 12- and 36-month follow-up periods.
Patient-reported outcomes: Estimation of general quality of life, diabetes-related symptoms, alcohol consumption patterns as well as patients’ experiences of family network and function.
The four questionnaires used are:
Short Form 36 (SF-36): SF-36 is a generic self-administered patient questionnaire measuring quality of life [34, 35]. The 36 items of SF-36 are grouped into eight domains: physical function, physical limitations, bodily pain, general health, vitality, social function, emotional limitation and mental health. The answers of each scale are transformed into a 0–100 score. An increase in the score indicates less disability. The eight domains can be divided into physical and mental health summary scales, respectively. SF-36 has been validated and is reliable in a range of languages, including Danish .
Diabetes Symptom Checklist – Revised (DSC-R): DSC-R is a disease-specific questionnaire measuring the occurrence and perceived burden of T2D-symptoms . It comprises 34 items grouped into eight domains: hyperglycaemic, hypoglycaemic, psychological-cognitive, psychological-fatigue, cardiovascular, neurological-pain, neurological-sensory, and ophthalmologic [37, 38]. It is a self-administered questionnaire. For each item, patients answer whether or not they have experienced the described symptom within the last 4 weeks, and if “yes”, they specify how troublesome the symptom has been on a 5-point Likert scale. Each domain is calculated by adding up the scores for each item (range, 1–5 points) and then divide the summed score by the number of items within the domain. A reduction in score indicates less diabetes symptom distress. DSC-R is a previously validated, reliable measurement instrument, sensitive to changes over time .
The Alcohol Use Disorders Identification Test (AUDIT): The AUDIT was developed on behalf of the World Health Organization as a screening tool for identifying persons with hazardous and harmful alcohol consumption patterns [39, 40]. It consists of 10 questions divided into three domains: hazardous alcohol use, dependence symptoms and harmful alcohol use. Each question has three or five response options and each answer triggers a score of 0–4 points. The scores are added up to a total score ranging from 0 to 40 points. Seven points is defined as the cut-off representing an alcohol problem. A higher score indicates a more hazardous and harmful alcohol consumption pattern .
Family assessment measure III (FAM-III): FAM-III is a self-administered questionnaire assessing family functioning. It consists of three 14-item questionnaires; the general scale examines the general health of the family; the dyadic relationship scale assesses how family members view their relationship with each other; and in the self-rating scale, individuals rate their own functioning within the family. Each item is answered on a 4-point Likert scale, giving a total score of 0–168. Low scores indicate a strong and well-functioning family, while high scores indicate a problematic and dysfunctional family. It is a useful, validated instrument for measuring family functioning during the course of treatment .
Population size calculation
A power calculation was conducted according to criteria for non-inferiority trials [42, 43], and based on the primary outcome measure HbA1c at 12-month follow-up. The non-inferiority margin was set at 0.4 % (1 % is approximately 11 mmol/mol) based on both clinical judgement and a guideline from the European Medicines Agency identifying the non-inferiority margin for HbA1c above 0.3 % (3 mmol/mol) . The standard deviation of HbA1c was set at 10 mmol/mol, based on a recent study on patients with risk stratification level 2 attending our outpatient clinic . With a non-inferiority margin at HbA1c 4.4 mmol/mol, an alpha of 0.05 and a power at 0.8, as well as an estimated dropout rate of 10 %, the sample size has been estimated to 140 participants.
Qualitative study data
In the qualitative process analysis of the study the aim is to explore and explain how the specific programme works for those involved, rather than focusing on endpoints . Data will be generated by interviews with patients and family members 1 year after inclusion in the study. Dyadic interview will examine the interaction between the participants, and thereby obtain details of discrepancies and similarities between them .
Interviews will initially be guided by a semi-structured interview guide developed on the basis of knowledge from earlier studies and the FAM-III questionnaire. The interview guide will change dynamically according to theoretical sampling and therefore data collection and analysis of previous interviews will guide the following interview in a constant comparative method throughout the entire research process . Approximately 20 patients (10 from each arm) and their family members will be included consistent with theoretical sampling and hence preliminary inclusion criteria’s are not desirable nor possible. Further participants can be included if theoretical saturation is not achieved . All interviews will be conducted at the patient’s home or at the hospital according to the patient and the family member’s wish. Participants will be excluded if they for any reason are not able to manage a 45–60 minute interview.
We will present and compare the baseline demographics as well as clinical and diabetes-related characteristics of the intervention and the control group. The statistical comparison will be conducted on the basis of t tests or analysis of variance as appropriate for comparing means and χ2 tests for categorical or binary data. The primary outcome will be tested by constructing a 90 % two-sided confidence interval for the difference of the means of HbA1c between the intervention and the control group. We use the lower bound to determine non-inferiority. Other outcomes will be tested with superiority analyses such as linear or logistic regression analysis. For observed differences we will consider a P value less than 0.05 as statistically significant.
Qualitative data analysis
The interviews will be audio-taped for verbatim transcription. The transcripts will be analysed according to the principles of grounded theory [47, 48] to identify concepts, core categories and patterns. The computer software program NVivo10 will be used to support organising data . With a main focus on “what is going on in the data” tentative links between categories will emerge and pattern out theoretical connections, constitute the core category, and further theory building. In order to increase validity, all steps during analysis will be discussed with researchers experienced in grounded theory. Finally, all authors will determine whether findings have fit, work, and are relevant and modifiable .
The overall objective of this study is to evaluate whether sharing general and specialised healthcare is comparable to the specialised care delivered in a hospital-based outpatient setting for patients with T2D who are at intermediate risk of or are already having incipient diabetic complications. The hypothesis is that the changes in HbA1c at 12-, 24- and 36-month follow-up are comparable between the intervention and the control group. According to previous studies the evidence for shared care in different chronic diseases, including T2D, is not clear . Testing new shared care models as a way of alternative organisation of care for patients with T2D is therefore important. The majority of studies on shared care for patients with T2D have been conducted 15–20 years ago. However, the increasing number of patients with T2D who are referred to the outpatient clinics as well as the development and improvements of electronic systems, clinical databases and communication channels during the last decades has made it highly relevant to test shared care models in new settings. Shared databases and electronic correspondence across the interface of the primary and secondary healthcare sectors are expected to blur the boundaries between the different healthcare sectors.
If shared care is shown to be effective, it can provide new ways of organising care for the globally increasing number of patients with T2D, allowing more patients to benefit from the specialised diabetes team at outpatient clinics while keeping a close contact with the GP, who often has a broader knowledge of the individual. A well-structured clinical follow-up and treatment, supported by the diabetes team, can potentially improve the long-term prognoses for patients who are at intermediate risk of or already having incipient diabetic complications. The Steno-2 study showed that intensified focus on lifestyle and multi-pharmacological treatment of patients with T2D and microalbuminuria reduced the development of micro- and macrovascular complications significantly at 13.3 years follow-up compared to patients receiving conventional therapy by the GP . Preventing or delaying the onset of complications for patients with T2D is essential, as the development of these complications significantly increase socioeconomic costs and can cause personal disabilities. Thus, it is well known that, as the patient moves from a state corresponding to a risk stratification level 2 to level 3, it is associated with multiple increases in direct and indirect cost to the healthcare sector and the community [11, 12].
Multiple parameters are known to have a significant effect on outcome. Apart from testing the primary outcome, HbA1c, we plan to investigate factors such as quality of life, blood pressure, lipid levels, family function and other clinical characteristics in order to test any negative or positive impact of shared care in accordance with previous studies showing a prognostic impact of these factors, e.g. blood pressure  and family network and functionality [51, 52].
The strength of our study is that it is designed as a randomised controlled trial. The majority of previous studies, which have tested shared care models for patients with chronic diseases, have been with limited robustness in study designs in terms of testing multifaceted interventions, limited periods of follow-up and not meeting the quality criteria of Cochrane Review Group for randomised controlled trials . Furthermore, the qualitative process evaluation can provide knowledge about the appropriateness of disseminating a particular intervention to other relevant sites and about which elements to improve and which to keep .
Since the study is conducted in a Danish setting, the results may not be generalised to healthcare settings in other countries. However, we believe that the results may inspire healthcare planners in other countries, as the organisation of the Danish healthcare system in a primary and secondary healthcare sector is comparable to the organisation of healthcare in a range of other countries in Europe and elsewhere.
Other limitations must also be considered. A potential bias in the study is that we recruit GPs who have shown interest in the project, and therefore may not be representative for the whole population of GPs. It could therefore be either GPs who have a special interest and knowledge about T2D or GPs who want to learn and become more knowledgeable about T2D. However, the substantial number of different GPs in the present trial may result in variability in the GPs interest in and knowledge about T2D. We aim to include approximately six patients from each GP, avoiding a given GP from including significantly more patients than the others.
If the findings of this study support future implementation of a shared care model for patients with T2D, more patients could benefit of the specialised diabetes team, but with fewer patients followed solely on a routine basis in the outpatient clinic, thus potentially increasing cost–benefit relationships. Both patients and the GPs may benefit from tight and improved collaboration with the diabetes team. The trial may therefore impact future organisation of diabetes care.
The trial is ongoing. The recruitment of patients started August 2015 and is expected to be completed by December 2016.
AUDIT, The Alcohol Use Disorders Identification Test; DSC-R, Diabetes Symptom Checklist – Revised; GP, General Practitioner; FAM-III, Family assessment measure III; HbA1c, glycated haemoglobin; SF-36, Short Form 36; T2D, Type 2 diabetes.
Funding for this study was provided from the Jascha Foundation and the Research Foundation under the Capital Region of Denmark.
LM contributed to the design, coordinated the study and drafted the manuscript. MER conceived, initiated, designed and coordinated the overall study, and drafted the manuscript. TV and FKK conceived, initiated and designed the overall study. ABA participated in the design of the study. BB, HK and DO designed the part concerning family functioning including the design of the qualitative component. All authors have contributed to the final study design and reviewed the manuscript. The final manuscript was read and approved by all authors.
The authors declare that they have no competing interests.
Ethics approval and consent to participate
All participants will receive verbal and written information about the study, and informed consent will be obtained from all participants before inclusion. Participation is voluntary and participants may withdraw the consent at any time. The study protocol is approved by the Committees on Health Research Ethics in the Capital Region of Denmark (H-4-2014-069) and registered at the Danish Data Protection agency (GEH-2015-085) and ClinicalTrials.gov (NCT02586545).
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- World Health Organization. Global status report on noncommunicable diseases, 2014. http://www.who.int/nmh/publications/ncd-status-report-2014/en/. Accessed 22 Oct 2015.
- Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103:137–49.View ArticlePubMedGoogle Scholar
- International Diabetes Federation. IDF Diabetes Atlas, vol. 6. 2013. www.idf.org/sites/default/files/EN_6E_Atlas_Full_0.pdf. Accessed 22 Oct 2015.
- World Health Organization. Global Health Estimates 2014 Summary Tables. Deaths by Cause, Age and Sex, 2000–2012. http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html. Accessed 10 Jan 2015.
- Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006;3:e442.View ArticlePubMedPubMed CentralGoogle Scholar
- Lind M, Garcia-Rodriguez LA, Booth GL, Cea-Soriano L, Shah BR, Ekeroth G, et al. Mortality trends in patients with and without diabetes in Ontario, Canada and the UK from 1996 to 2009: a population-based study. Diabetologia. 2013;56:2601–8.View ArticlePubMedGoogle Scholar
- Gregg EW, Cheng YJ, Saydah S, Cowie C, Garfield S, Geiss L, et al. Trends in death rates among U.S. adults with and without diabetes between 1997 and 2006: findings from the National Health Interview Survey. Diabetes Care. 2012;35:1252–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Færch K, Carstensen B, Almdal TP, Jørgensen ME. Improved survival among patients with complicated type 2 diabetes in Denmark: a prospective study (2002–2010). J Clin Endocrinol Metab. 2014;99:E642–646.View ArticlePubMedGoogle Scholar
- Peyrot M, Rubin RR, Lauritzen T, Snoek FJ, Matthews DR, Skovlund SE. Psychosocial problems and barriers to improved diabetes management: results of the Cross-National Diabetes Attitudes, Wishes and Needs (DAWN) Study. Diabet Med J Br Diabet Assoc. 2005;22:1379–85.View ArticleGoogle Scholar
- Holt RIG, Kalra S. A new DAWN: Improving the psychosocial management of diabetes. Indian J Endocrinol Metab. 2013;17 Suppl 1:S95–99.View ArticlePubMedPubMed CentralGoogle Scholar
- Williams R, Van Gaal L, Lucioni C. CODE-2 Advisory Board: Assessing the impact of complications on the costs of Type II diabetes. Diabetologia. 2002;45:S13–17.View ArticleGoogle Scholar
- Alva ML, Gray A, Mihaylova B, Leal J, Holman RR. The impact of diabetes-related complications on healthcare costs: new results from the UKPDS (UKPDS 84). Diabet Med J Br Diabet Assoc. 2015;32:459–66.View ArticleGoogle Scholar
- Gaede P, Lund-Andersen H, Parving H-H, Pedersen O. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med. 2008;358:580–91.View ArticlePubMedGoogle Scholar
- Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HAW. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359:1577–89.View ArticlePubMedGoogle Scholar
- Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group. BMJ. 1998;317:703–13.Google Scholar
- Braga MFB, Casanova A, Teoh H, Gerstein HC, Fitchett DH, Honos G, et al. Diabetes Registry to Improve Vascular Events [DRIVE] Investigators. Poor achievement of guidelines-recommended targets in type 2 diabetes: findings from a contemporary prospective cohort study. Int J Clin Pract. 2012;66:457–64.View ArticlePubMedGoogle Scholar
- Hermans MP, Brotons C, Elisaf M, Michel G, Muls E, Nobels F, for the OPTIMISE (OPtimal Type 2 dIabetes Management Including benchmarking and Standard trEatment) International Steering Committee. Optimal type 2 diabetes mellitus management: the randomised controlled OPTIMISE benchmarking study: baseline results from six European countries. Eur J Prev Cardiol. 2013;20:1095–105.View ArticlePubMedGoogle Scholar
- Renders CM, Valk GD, Griffin SJ, Wagner E, van Eijk JT, Assendelft WJJ. Interventions to improve the management of diabetes mellitus in primary care, outpatient and community settings. Cochrane Database Syst Rev. 2000;(4):CD001481. doi:10.1002/14651858.CD001481.
- Hoskins PL, Fowler PM, Constantino M, Forrest J, Yue DK, Turtle JR. Sharing the care of diabetic patients between hospital and general practitioners: does it work? Diabet Med J Br Diabet Assoc. 1993;10:81–6.View ArticleGoogle Scholar
- Smith SM, Allwright S, O’Dowd T. Effectiveness of shared care across the interface between primary and specialty care in chronic disease management. Cochrane Database Syst Rev. 2007;(3):CD004910. doi:10.1002/14651858.CD004910.pub2.
- Borgermans L, Goderis G, Van Den Broeke C, Verbeke G, Carbonez A, Ivanova A, et al. Interdisciplinary diabetes care teams operating on the interface between primary and specialty care are associated with improved outcomes of care: findings from the Leuven Diabetes Project. BMC Health Serv Res. 2009;9:179.View ArticlePubMedPubMed CentralGoogle Scholar
- van Hateren KJJ, Drion I, Kleefstra N, Groenier KH, Houweling ST, van der Meer K, et al. A prospective observational study of quality of diabetes care in a shared care setting: trends and age differences (ZODIAC-19). BMJ Open. 2012;2Google Scholar
- Russell AW, Baxter KA, Askew DA, Tsai J, Ware RS, Jackson CL. Model of care for the management of complex Type 2 diabetes managed in the community by primary care physicians with specialist support: an open controlled trial. Diabet Med J Br Diabet Assoc. 2013;30:1112–21.View ArticleGoogle Scholar
- Smith S, Bury G, O’Leary M, Shannon W, Tynan A, Staines A, et al. The North Dublin randomized controlled trial of structured diabetes shared care. Fam Pract. 2004;21:39–45.View ArticlePubMedGoogle Scholar
- Danish Health Authority. Forloebsprogrammer for kronisk sygdom. Copenhagen: Danish Health Authority; 2008.Google Scholar
- Capital Region of Denmark. Forloebsprogram for Type 2 Diabetes. Copenhagen: Capital Region of Denmark; 2009.Google Scholar
- American Diabetes Association. 8. Cardiovascular disease and risk management. Diabetes Care. 2015;38(Supplement 1):S49–57.View ArticleGoogle Scholar
- American Diabetes Association. 9. Microvascular complications and foot care. Diabetes Care. 2015;38(Supplement 1):S58–66.View ArticleGoogle Scholar
- American Diabetes Association AD. 6. Glycemic targets. Diabetes Care. 2015;38(Supplement 1):S33–40.View ArticleGoogle Scholar
- Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, et al. Management of hyperglycaemia in type 2 diabetes, 2015: a patient-centred approach. Update to a position statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetologia. 2015;58:429–42.View ArticlePubMedGoogle Scholar
- Munch L, Arreskov A, Sperling M, Overgaard D, Knop F, Vilsbøll T, Røder M. Risk stratification by endocrinologists of patients with type 2 diabetes in a Danish specialised outpatient clinic: a cross-sectional study. BMC Health Serv Res. 2016;16:124.View ArticlePubMedPubMed CentralGoogle Scholar
- What is EpiData Software? http://www.epidata.dk/. Accessed 18 Dec 2015.
- Danish Adult Diabetes Database. http://www.kcks-vest.dk/kliniske-kvalitetsdatabaser/voksendiabetes/. Accessed 7 Dec 2015.
- McHorney CA, Ware JE, Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32:40–66.View ArticlePubMedGoogle Scholar
- Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473–83.View ArticlePubMedGoogle Scholar
- Bjorner JB, Damsgaard MT, Watt T, Groenvold M. Tests of data quality, scaling assumptions, and reliability of the Danish SF-36. J Clin Epidemiol. 1998;51:1001–11.View ArticlePubMedGoogle Scholar
- Grootenhuis PA, Snoek FJ, Heine RJ, Bouter LM. Development of a type 2 diabetes symptom checklist: a measure of symptom severity. Diabet Med J Br Diabet Assoc. 1994;11:253–61.View ArticleGoogle Scholar
- Arbuckle RA, Humphrey L, Vardeva K, Arondekar B, Danten-Viala M, Scott JA, et al. Psychometric evaluation of the Diabetes Symptom Checklist-Revised (DSC-R)--a measure of symptom distress. Value Health J Int Soc Pharmacoeconomics Outcomes Res. 2009;12:1168–75.View ArticleGoogle Scholar
- Babor T, Higgins-Biddle J, Saunders J, Monteiro M. AUDIT - The Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Care. Geneva: World Health Organization; 2001.Google Scholar
- Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II. Addiction. 1993;88:791–804.View ArticlePubMedGoogle Scholar
- Skinner H, Steinhauer P, Sitarenios G. Family Assessment Measure (FAM) and Process Model of Family Functioning. J Fam Ther. 2000;22:190–210.View ArticleGoogle Scholar
- Piaggio G, Elbourne DR, Pocock SJ, Evans SJW, Altman DG. CONSORT Group: Reporting of noninferiority and equivalence randomized trials: extension of the CONSORT 2010 statement. JAMA. 2012;308:2594–604.View ArticlePubMedGoogle Scholar
- Hahn S. Understanding noninferiority trials. Korean J Pediatr. 2012;55:403–7.View ArticlePubMedPubMed CentralGoogle Scholar
- European Medicines Agency. Guideline on Clinical Investigation of Medicinal Products in the Treatment or Prevention of Diabetes Mellitus. 2012. http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2012/06/WC500129256.pdf. Accessed 25 Nov 2015.
- Patton M. Qualitative Research & Evaluation Methods: Integrating Theory and Practice. 4th ed. London: SAGE Publications; 2014.Google Scholar
- Morgan DL, Ataie J, Carder P, Hoffman K. Introducing dyadic interviews as a method for collecting qualitative data. Qual Health Res. 2013;23:1276–84.View ArticlePubMedGoogle Scholar
- Glaser B, Strauss A. The Discovery of Grounded Theory: Strategies for Qualitative Research. New Brunswick: Aldine Transaction; 1999.Google Scholar
- Charmaz K. Constructing Grounded Theory (Introducing Qualitative Methods Series). 2nd ed. London: SAGE Publications Ltd; 2014.Google Scholar
- Andersen A, Binderkrantz A. Guide to NVivo 9. 1. ed. Copenhagen: Hans Reitzel Publishers;Google Scholar
- Turner R, Holman R, Stratton I, Cull C, Frighi V, Manley S, et al. Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. BMJ. 1998;317:703–13.View ArticleGoogle Scholar
- Gunn KL, Seers K, Posner N, Coates V. “Somebody there to watch over you”: the role of the family in everyday and emergency diabetes care. Health Soc Care Community. 2012;20:591–8.View ArticlePubMedGoogle Scholar
- Costa V, Pereira MG, Pedras S. Partner support, social-cognitive variables and their role in adherence to self-monitoring of blood glucose in type 2 diabetes. Eur Diabetes Nurs. 2012;9:81–6.View ArticleGoogle Scholar
- Oakley A, Strange V, Bonell C, Allen E, Stephenson J, RIPPLE Study Team. Process evaluation in randomised controlled trials of complex interventions. BMJ. 2006;332:413–6.View ArticlePubMedPubMed CentralGoogle Scholar