Effects of cardiovascular disease risk communication for patients with type 2 diabetes on risk perception in a randomized controlled trial: the @RISK study

Decision aids for people facing health treatment or screening decisions

BACKGROUND

Patient decision aids are interventions designed to support people making health decisions. At a minimum, patient decision aids make the decision explicit, provide evidence-based information about the options and associated benefits/harms, and help clarify personal values for features of options. This is an update of a Cochrane review that was first published in 2003 and last updated in 2017.

OBJECTIVES

To assess the effects of patient decision aids in adults considering treatment or screening decisions using an integrated knowledge translation approach.

SEARCH METHODS

We conducted the updated search for the period of 2015 (last search date) to March 2022 in CENTRAL, MEDLINE, Embase, PsycINFO, EBSCO, and grey literature. The cumulative search covers database origins to March 2022.

SELECTION CRITERIA

We included published randomized controlled trials comparing patient decision aids to usual care. Usual care was defined as general information, risk assessment, clinical practice guideline summaries for health consumers, placebo intervention (e.g. information on another topic), or no intervention.

DATA COLLECTION AND ANALYSIS

Two authors independently screened citations for inclusion, extracted intervention and outcome data, and assessed risk of bias using the Cochrane risk of bias tool. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made (informed values-based choice congruence) and the decision-making process, such as knowledge, accurate risk perceptions, feeling informed, clear values, participation in decision-making, and adverse events. Secondary outcomes were choice, confidence in decision-making, adherence to the chosen option, preference-linked health outcomes, and impact on the healthcare system (e.g. consultation length). We pooled results using mean differences (MDs) and risk ratios (RRs) with 95% confidence intervals (CIs), applying a random-effects model. We conducted a subgroup analysis of 105 studies that were included in the previous review version compared to those published since that update (n = 104 studies). We used Grading of Recommendations Assessment, Development, and Evaluation (GRADE) to assess the certainty of the evidence.

MAIN RESULTS

This update added 104 new studies for a total of 209 studies involving 107,698 participants. The patient decision aids focused on 71 different decisions. The most common decisions were about cardiovascular treatments (n = 22 studies), cancer screening (n = 17 studies colorectal, 15 prostate, 12 breast), cancer treatments (e.g. 15 breast, 11 prostate), mental health treatments (n = 10 studies), and joint replacement surgery (n = 9 studies). When assessing risk of bias in the included studies, we rated two items as mostly unclear (selective reporting: 100 studies; blinding of participants/personnel: 161 studies), due to inadequate reporting. Of the 209 included studies, 34 had at least one item rated as high risk of bias. There was moderate-certainty evidence that patient decision aids probably increase the congruence between informed values and care choices compared to usual care (RR 1.75, 95% CI 1.44 to 2.13; 21 studies, 9377 participants). Regarding attributes related to the decision-making process and compared to usual care, there was high-certainty evidence that patient decision aids result in improved participants' knowledge (MD 11.90/100, 95% CI 10.60 to 13.19; 107 studies, 25,492 participants), accuracy of risk perceptions (RR 1.94, 95% CI 1.61 to 2.34; 25 studies, 7796 participants), and decreased decisional conflict related to feeling uninformed (MD -10.02, 95% CI -12.31 to -7.74; 58 studies, 12,104 participants), indecision about personal values (MD -7.86, 95% CI -9.69 to -6.02; 55 studies, 11,880 participants), and proportion of people who were passive in decision-making (clinician-controlled) (RR 0.72, 95% CI 0.59 to 0.88; 21 studies, 4348 participants). For adverse outcomes, there was high-certainty evidence that there was no difference in decision regret between the patient decision aid and usual care groups (MD -1.23, 95% CI -3.05 to 0.59; 22 studies, 3707 participants). Of note, there was no difference in the length of consultation when patient decision aids were used in preparation for the consultation (MD -2.97 minutes, 95% CI -7.84 to 1.90; 5 studies, 420 participants). When patient decision aids were used during the consultation with the clinician, the length of consultation was 1.5 minutes longer (MD 1.50 minutes, 95% CI 0.79 to 2.20; 8 studies, 2702 participants). We found the same direction of effect when we compared results for patient decision aid studies reported in the previous update compared to studies conducted since 2015.

AUTHORS' CONCLUSIONS

Compared to usual care, across a wide variety of decisions, patient decision aids probably helped more adults reach informed values-congruent choices. They led to large increases in knowledge, accurate risk perceptions, and an active role in decision-making. Our updated review also found that patient decision aids increased patients' feeling informed and clear about their personal values. There was no difference in decision regret between people using decision aids versus those receiving usual care. Further studies are needed to assess the impact of patient decision aids on adherence and downstream effects on cost and resource use.

Illness perception of individuals with spinal cord injury (SCI) during inpatient rehabilitation: a longitudinal study

STUDY DESIGN

Multicentre longitudinal study.

OBJECTIVES

To assess overall illness perception and specific illness representations at admission and discharge of inpatient spinal cord injury (SCI) rehabilitation, and to detect associations between demographic and injury-related variables, and illness perception.

SETTING

Seven Dutch SCI-specialised rehabilitation centres.

METHODS

Participants aged >18 years with a recent SCI were screened for cognitive and emotional illness representations at admission and discharge with the Brief Illness Perception Questionnaire (B-IPQ). Differences between B-IPQ item scores at admission and discharge were analysed with the Wilcoxon signed-rank test. Differences between B-IPQ total scores were analysed with the paired-samples t-test. Associations between B-IPQ total scores and other variables were tested with bivariable and multivariable regression analyses.

RESULTS

B-IPQ results were available for 270 participants at admission (71% male, 59% paraplegia, 83% incomplete) and 119 at discharge (68% male, 50% paraplegia, 78% incomplete). The extent to which people experienced their SCI as a threat was highest for: 'consequences', 'symptom burden' and 'concern' both at admission and discharge. Participants generally experienced less threat at discharge. A more threatening illness perception was significantly associated with older age, complete SCI and a history of cognitive problems at admission. Age and completeness of injury, together, explained 12% of the variance of overall illness perception at admission.

CONCLUSIONS

For most individuals, illness perception positively changed during SCI rehabilitation. Measuring illness perception in inpatient rehabilitation could support the identification of specific treatment goals in order to improve adjustment after SCI.

An Intuitive Risk Communication Tool to Enhance Patient-Provider Partnership in Diabetes Consultation

INTRODUCTION

This technology report introduces an innovative risk communication tool developed to support providers in communicating diabetes-related risks more intuitively to people with type 2 diabetes mellitus (T2DM).

METHODS

The development process involved three main steps: (1) selecting the content and format of the risk message; (2) developing a digital interface; and (3) assessing the usability and usefulness of the tool with clinicians through validated questionnaires.

RESULTS

The tool calculates personalized risk information based on a validated simulation model (United Kingdom Prospective Diabetes Study Outcomes Model 2) and delivers it using more intuitive risk formats, such as "effective heart age" to convey cardiovascular risks. Clinicians reported high scores for the usability and usefulness of the tool, making its adoption in routine care promising.

CONCLUSIONS

Despite increased use of risk calculators in clinical care, this is the first time that such a tool has been developed in the diabetes area. Further studies are needed to confirm the benefits of using this tool on behavioral and health outcomes in T2DM populations.

The impact of training healthcare professionals' communication skills on the clinical care of diabetes and hypertension: a systematic review and meta-analysis

BACKGROUND

Diabetes and hypertension care require effective communication between healthcare professionals and patients. Training programs may improve the communication skills of healthcare professionals but no systematic review has examined their effectiveness at improving clinical outcomes and patient experience in the context of diabetes and hypertension care.

METHODS

We conducted a systematic review of randomized controlled trials to summarize the effectiveness of any type of communication skills training for healthcare professionals to improve diabetes and/or hypertension care compared to no training or usual care. We searched Medline, Embase, CINAHL, PsycINFO, Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Database of Systematic Reviews (CDSR), ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform from inception to August 2020 without language restrictions. Data on the country, type of healthcare setting, type of healthcare professionals, population, intervention, comparison, primary outcomes of glycated hemoglobin (HbA1c) and blood pressure, and secondary outcomes of quality of life, patient experience and understanding, medication adherence and patient-doctor relationship were extracted for each included study. Risk of bias of included studies was assessed by Cochrane risk of bias tool.

RESULTS

7011 abstracts were identified, and 19 studies met the inclusion criteria. These included a total of 21,762 patients and 785 health professionals. 13 trials investigated the effect of communication skills training in diabetes management and 6 trials in hypertension. 10 trials were at a low risk and 9 trials were at a high risk of bias. Training included motivational interviewing, patient centred care communication, cardiovascular disease risk communication, shared decision making, cultural competency training and psychological skill training. The trials found no significant effects on HbA1c (n = 4501, pooled mean difference -0.02 mmol/mol, 95% CI -0.10 to 0.05), systolic blood pressure (n = 2505, pooled mean difference -2.61 mmHg, 95% CI -9.19 to 3.97), or diastolic blood pressure (n = 2440, pooled mean difference -0.06 mmHg, 95% CI -3.65 to 2.45). There was uncertainty in whether training was effective at improving secondary outcomes.

CONCLUSION

The communication skills training interventions for healthcare professionals identified in this systematic review did not improve HbA1c, BP or other relevant outcomes in patients with diabetes and hypertension. Further research is needed to methodically co-produce and evaluate communication skills training for chronic disease management with healthcare professionals and patients.

Communication of health risk in substance-dependent populations: A systematic review of randomised controlled trials

ISSUES

Individuals with substance use problems are at greater risk of chronic diseases due to their unhealthy lifestyle behaviours (e.g. alcohol use, smoking, physical inactivity, poor nutrition). There is increasing evidence that health risk communication is crucial in improving risk perception and knowledge of chronic diseases, and both factors are associated with health behaviour change. The aim of this systematic review is to provide a comprehensive overview of the current state of evidence on health risk communication on people with substance use problems.

APPROACH

A systematic search identified peer reviewed studies from the databases MEDLINE, PsycINFO, CINAHL and Scopus. Data were extracted from the included studies and a narrative synthesis of the results was conducted.

KEY FINDINGS

Eight articles, representing five unique studies, were included in the review. The overall risk of bias of the included studies was considered to be low. The studies evaluated the use of message framing and personalised/customised recommendations across smoking cessation and patient engagement with methadone maintenance treatment. Results revealed that message framing, specifically gain-framed messages, had a positive impact on smoking cessation. Risk perception, sex and level of nicotine dependence were also found to be associated with smoking cessation.

IMPLICATIONS AND CONCLUSIONS

The limited number of studies provides preliminary evidence that health risk communication promotes smoking cessation. However, studies included in the review were characterised by heterogeneous methods and measures. Further investigation of health risk communication using adequately powered randomised controlled trial is warranted.

Knowledge and Perceptions Towards Cardiovascular Disease Prevention Among Patients with Type 2 Diabetes Mellitus: A Review of Current Assessments and Recommendations

INTRODUCTION

Patients with type 2 diabetes mellitus (T2DM) are at significantly higher risk of developing cardiovascular diseases (CVD). There is a scarcity of literature reviews that describe and summarize T2DM patients' knowledge and perception about CVD prevention.

OBJECTIVES

To describe and summarize the assessment of knowledge and perceptions about CVD risk and preventive approaches among patients with T2DM.

METHODS

A scoping review methodology was adopted, and three scientific databases, Google Scholar, Science Direct, and PubMed were searched using predefined search terms. A multistage screening process that considered relevancy, publication year (2009-2019), English language, and article type (original research) was followed. We formulated research questions focused on the assessment of levels of knowledge and perceptions of the illness relevant to CVD prevention and the identification of associated patients' characteristics.

RESULTS

A total of 16 studies were included. Patients were not confident to identify CVD risk and other clinical consequences that may occur in the prognostic pathway of T2DM. Furthermore, patients were less likely to identify all CV risk factors indicating a lack of understanding of the multi-- factorial contribution of CVD risk. Patients' beliefs about medications were correlated with their level of adherence to medications for CVD prevention. Many knowledge gaps were identified, including the basic disease expectations at the time of diagnosis, identification of individuals' CVD risk factors, and management aspects. Knowledge and perceptions were affected by patients' demographic characteristics, e.g., educational level, race, age, and area of residence.

CONCLUSION

There are knowledge gaps concerning the understanding of CVD risk among patients with T2DM. The findings necessitate educational initiatives to boost CVD prevention among patients with T2DM. Furthermore, these should be individualized based on patients' characteristics, knowledge gaps, disease duration, and estimated CVD risk.

Diabetes self-management education and support for adults with newly diagnosed type 2 diabetes mellitus: A systematic review and meta-analysis of randomized controlled trials

This systematic review aimed to identify the effectiveness of diabetes self-management education and support (DSMES) among adults within 12 months of diagnosis of type 2 diabetes mellitus (T2DM). We searched the Cochrane Library, MEDLINE, CINAHL, PsycINFO, ERIC, and other sources up to March 2019 to detect randomized controlled trials in the last decade based on the global guidelines' definition of DSMES. Data were categorized into biomedical, psychosocial, and behavioral outcomes and synthesized using a random-effects model. Quality of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation system. We scrutinized 12 studies that enrolled 2,386 adults with newly diagnosed T2DM. Biomedical outcomes presented the pooled effects of HbA1c -0.21% (95% confidence interval, -0.38, -0.04), body weight -2.36 kg (-5.77, 1.05), and waist circumference -1.8 cm (-5.63, 2.04) when the data from the two studies with low risk of bias were combined (N = 1,082). Psychosocial and behavioral effects were inconclusive owing to mixed results from various scales and reporting. The quality of the body of evidence was low. DSMES within 12 months of T2DM diagnosis might affect patient-centered outcomes. Further studies with higher precision using standardized measurement methods are required.

Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success

Cancer risk prediction models such as those published in Cancer Epidemiology, Biomarkers, and Prevention are a cornerstone of precision medicine and public health efforts to improve population health outcomes by tailoring preventive strategies and therapeutic treatments to the people who are most likely to benefit. However, there are several barriers to the effective translation, dissemination, and implementation of cancer risk prediction models into clinical and public health practice. In this commentary, we discuss two broad categories of barriers. Specifically, we assert that the successful use of risk-stratified cancer prevention and treatment strategies is particularly unlikely if risk prediction models are translated into risk assessment tools that (i) are difficult for the public to understand or (ii) are not structured in a way to engender the public's confidence that the results are accurate. We explain what aspects of a risk assessment tool's design and content may impede understanding and acceptance by the public. We also describe strategies for translating a cancer risk prediction model into a cancer risk assessment tool that is accessible, meaningful, and useful for the public and in clinical practice.

Factors influencing the implementation of cardiovascular risk scoring in primary care: a mixed-method systematic review

BACKGROUND

Cardiovascular disease (CVD) such as ischemic heart disease and stroke is the leading causes of death and disability globally with a growing burden in low and middle-income countries. A credible way of managing the incidence and prevalence of cardiovascular diseases is by reducing risk factors. This understanding has led to the development and recommendation for the clinical use of cardiovascular risk stratification tools. These tools enhance clinical decision-making. However, there is a lag in the implementation of these tools in most countries. This systematic review seeks to synthesise the current knowledge of the factors influencing the implementation of cardiovascular risk scoring in primary care settings.

METHODS

We searched bibliographic databases and grey literature for studies of any design relating to the topic. Titles, abstracts and full texts were independently assessed for eligibility by two reviewers. This was followed by quality assessment and data extraction. We analysed data using an integrated and best fit framework synthesis approach to identify these factors. Quantitative and qualitative forms of data were combined into a single mixed-methods synthesis. The Consolidated Framework for Implementation Research was used as the guiding tool and template for this analysis.

RESULTS

Twenty-five studies (cross-sectional n = 12, qualitative n = 9 and mixed-methods n = 4) were included in this review. Twenty (80%) of these were conducted in high-income countries. Only four studies (16%) included patients as participants. This review reports on a total of eleven cardiovascular risk stratification tools. The factors influencing the implementation of cardiovascular risk scoring are related to clinical setting and healthcare system (resources, priorities, practice culture and organisation), users (attributes and interactions between users) and the specific cardiovascular risk tool (characteristics, perceived role and effectiveness).

CONCLUSIONS

While these findings bolster the understanding of implementation complexity, there exists limited research in the context of low and middle-income countries. Notwithstanding the need to direct resources in bridging this gap, it is also crucial that these efforts are in concert with providing high-quality evidence on the clinical effectiveness of using cardiovascular risk scoring to improve cardiovascular disease outcomes of mortality and morbidity.

TRIAL REGISTRATION

PROSPERO registration number: CRD42018092679.

Engagement with advice to reduce cardiovascular risk following a health check programme: A qualitative study

BACKGROUND

The success of a cardiovascular health check programme depends not only on the identification of individuals at high risk of cardiovascular disease (CVD) but also on reducing CVD risk. We examined factors that might influence engagement and adherence to lifestyle change interventions and medication amongst people recently assessed at medium or high risk of CVD (>10% in the next 10 years).

METHOD

Qualitative study using individual semi-structured interviews. Data were analysed using the Framework method.

RESULTS

Twenty-two participants (12 men, 10 women) were included in the study. Four broad themes are described: (a) the meaning of 'risk', (b) experiences with medication, (c) attempts at lifestyle change, and (d) perceived enablers to longer-term change. The experience of having a health check was mostly positive and reassuring. Although participants may not have understood precisely what their CVD risk meant, many reported efforts to make lifestyle changes and take medications to reduce their risk. Individual's experience with medications was influenced by family, friends and the media. Lifestyle change services and family and friends support facilitated longer-term behaviour change.

CONCLUSIONS

People generally appear to respond positively to having a CVD health check and report being motivated towards behaviour change. Some individuals at higher risk may need clearer information about the health check and the implications of being at risk of CVD. Concerns over medication use may need to be addressed in order to improve adherence. Strategies are required to facilitate engagement and promote longer-term maintenance with lifestyle changes amongst high-risk individuals.

Presenting patients with information on their oral health risk: the PREFER three-arm RCT and ethnography

Background

A new NHS dental practice contract is being tested using a traffic light (TL) system that categorises patients as being at red (high), amber (medium) or green (low) risk of poor oral health. This is intended to increase the emphasis on preventative dentistry, including giving advice on ways patients can improve their oral health. Quantitative Light-Induced Fluorescence (QLF™) cameras (Inspektor Research Systems BV, Amsterdam, the Netherlands) also potentially offer a vivid portrayal of information on patients’ oral health.

Methods

Systematic review – objective: to investigate how patients value and respond to different forms of information on health risks. Methods: electronic searches of nine databases, hand-searching of eight specialist journals and backwards and forwards citation-chasing followed by duplicate title, abstract- and paper-screening and data-extraction. Inclusion criteria limited studies to personalised information on risk given to patients as part of their health care. Randomised controlled trial (RCT) – setting: NHS dental practice. Objective: to investigate patients’ preferences for and response to different forms of information about risk given at check-ups. Design: a pragmatic, multicentred, three-arm, parallel-group, patient RCT. Participants: adults with a high/medium risk of poor oral health attending NHS dental practices. Interventions: (1) information given verbally supported by a card showing the patient’s TL risk category; (2) information given verbally supported by a QLF photograph of the patient’s mouth. The control was verbal information only (usual care). Main outcome measures: primary outcome – median valuation for the three forms of information measured by willingness to pay (WTP). Secondary outcomes included toothbrushing frequency and duration, dietary sugar intake, smoking status, self-rated oral health, a basic periodontal examination, Plaque Percentage Index and the number of tooth surfaces affected by caries (as measured by QLF). Qualitative study – an ethnography involving observations of 368 dental appointments and interviews with patients and dental teams.

Results

Systematic review – the review identified 12 papers (nine of which were RCTs). Eight studies involved the use of computerised risk assessments in primary care. Intervention effects were generally modest, even with respect to modifying risk perceptions rather than altering behaviour or clinical outcomes. RCT – the trial found that 51% of patients identified verbal information as their most preferred form, 35% identified QLF as most preferred and 14% identified TL information as most preferred. The median WTP for TL was about half that for verbal information alone. Although at 6 and 12 months patients reported taking less sugar in drinks, and at 12 months patients reported longer toothbrushing, there was no difference by information group. Qualitative study – there was very little explicit risk talk. Lifestyle discussions were often cursory to avoid causing shame or embarrassment to patients.

Limitations

Only 45% of patients were retained in the trial at 6 months and 31% were retained at 12 months. The trial was conducted in four dental practices, and five dental practices were involved in the qualitative work.

Conclusions

Patients prefer personal, detailed verbal advice on oral health at their check-up. A new NHS dental practice contract using TL categorisation might make this less likely.

Future work

Research on how to deliver, within time constraints, effective advice to patients on preventing poor oral health. More research on ‘risk work’ in wider clinical settings is also needed.

Trial registration

Current Controlled Trials ISRCTN71242343.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 3. See the NIHR Journals Library website for further project information.

What should governments be doing to prevent diabetes throughout the life course?

Health systems and governments are increasingly required to implement measures that target at-risk populations to prevent noncommunicable diseases. In this review we lay out what governments should be doing to prevent diabetes throughout the life course. The following four target groups were used to structure the specific recommendations: (1) pregnant women and young families, (2) children and adolescents, (3) working age population, and (4) the elderly. The evidence to date supports the effectiveness of some known government policy measures, such as sugar taxes and regulatory measures in the (pre-)school setting for children and adolescents. Many of these appear to be more effective if they are part of a bundle of strategies and if they are supplemented by communication strategies. Although there is a current focus on strategies that target the individual, governments can make use of evidence-based population-level prevention strategies. More research and continuous evaluation of the overall and subgroup-specific effectiveness of policy strategies using high-quality longitudinal studies are needed.

Nudging people with Type 2 diabetes towards better self-management through personalized risk communication: A pilot randomized controlled trial in primary care

OBJECTIVES

To assess the feasibility in routine primary care consultation and investigate the effect on risk recall and self-management of a new type of risk communication intervention based on behavioural economics ("nudge-based") for people with Type 2 diabetes mellitus (T2DM).

METHODS

Forty adults with poorly controlled T2DM (HbA1c > 7.5%) were randomized to receive a personalized, nudge-based risk communication intervention (n = 20) or standard care (n = 20). Risk recall and self-management were evaluated at baseline and 12 weeks after the intervention.

RESULTS

Both in terms of feasibility and acceptability, this new risk communication intervention was very satisfactory. Study retention rate after 12 weeks was very high (90%) and participants were highly satisfied with the intervention (4.4 out of 5 on the COMRADE scale). Although not powered to identify significant between-group effects, the intervention significantly improved risk recall after 12 weeks and intentions to make lifestyle changes (dietary behaviour) compared to standard care.

CONCLUSIONS

This pilot study provides the first evidence of the feasibility of implementing in primary care a nudge-based risk communication intervention for people with T2DM. Based on the promising results observed, an adequately powered trial to determine the effectiveness of the intervention on long-term self-management is judged feasible. As a result of this feasibility study, some minor adaptations to the intervention and study methods that would help to facilitate a definitive trial are also reported.

Disentangling the effect of illness perceptions on health status in people with type 2 diabetes after an acute coronary event

BACKGROUND

Chronically ill patients such as people with type 2 diabetes develop perceptions of their illness, which will influence their coping behaviour. Perceptions are formed once a health threat has been recognised. Many people with type 2 diabetes suffer from multimorbidity, for example the combination with cardiovascular disease. Perceptions of one illness may influence perceptions of the other condition. The aim of the current study was to evaluate the effect of an intervention in type 2 diabetes patients with a first acute coronary event on change in illness perceptions and whether this mediates the intervention effect on health status. The current study is a secondary data analysis of a RCT.

METHODS

Two hundred one participants were randomised (1:1 ratio) to the intervention (n = 101, three home visits) or control group (n = 100). Outcome variables were diabetes and acute coronary event perceptions, assessed with the two separate Brief Illness Perceptions Questionnaires (BIPQs); and health status (Euroqol Visual Analog Scale (EQ-VAS)). The intervention effect was analysed using ANCOVA. Linear regression analyses were used to assess whether illness perceptions mediated the intervention effect on health status.

RESULTS

A positive intervention effect was found on the BIPQ diabetes items coherence and treatment control (F = 8.19, p = 0.005; F = 14.01, p < 0.001). No intervention effect was found on the other BIPQ diabetes items consequence, personal control, identity, illness concern and emotional representation. Regarding the acute coronary event, a positive intervention effect on treatment control was found (F = 7.81, p = 0.006). No intervention effect was found on the other items of the acute coronary event BIPQ. Better diabetes coherence was associated with improved health status, whereas perceiving more treatment control was not. The mediating effect of the diabetes perception 'coherence' on health status was not significant.

CONCLUSION

Targeting illness perceptions of people with diabetes after an acute coronary event has no effect on most domains, but can improve the perceived understanding of their diabetes. Discussing perceptions prevents people with type 2 diabetes who recently experienced an acute coronary event from the perception that they will lose control of both their diabetes and the acute coronary event. Illness perceptions of diabetes patients should therefore be discussed in the dynamic period after an acute coronary event.

TRIAL REGISTRATION

Nederlands trial register; NTR3076 , Registered September 20 2011.

Do Words Matter? Health Care Providers' Use of the Term Prediabetes

Communication of risk is not solely the transfer of information; it is an interaction and exchange of ideas between concerned individuals. Health care provider communication about type 2 diabetes risk status may influence individual participation in behaviours that prevent or delay the disease, which is concerning from a public health perspective. The term prediabetes is used to convey risk status and little is known about how health care providers view or use the term. In this article, we describe health care provider use and perceptions of the term prediabetes drawing on data from a survey conducted between August and November 2011 of 15 health care providers practicing in Southeast Wyoming and Northern Colorado USA. We used a grounded theory research design to guide data collection and analysis and in the interviews invited providers to describe their use and perception of the term prediabetes. We found that providers use of the term 'prediabetes' depended on their view of the term's meaning (such as, whether patients were likely to understand or be confused by it) and impact (in terms of motivating patients to mitigate risk). We found there were differences in providers' perceptions of the negative and positive associations of the term and this influenced whether or not they used it. These findings are not surprising given the lack of consensus over definitions and diagnosis criteria for prediabetes. Given this this lack of agreement, there are difficulties about the use of the term prediabetes and its use should take place within effective risk communication. Health care providers must consider essential aspects of risk communication in order to enable individuals at risk of type 2 diabetes to mitigate the risk and by doing so reduce incidence and prevalence rates of the disease.

The Hoorn Diabetes Care System (DCS) cohort. A prospective cohort of persons with type 2 diabetes treated in primary care in the Netherlands

PURPOSE

People with type 2 diabetes (T2D) have a doubled morbidity and mortality risk compared with persons with normal glucose tolerance. Despite treatment, clinical targets for cardiovascular risk factors are not achieved. The Hoorn Diabetes Care System cohort (DCS) is a prospective cohort representing a comprehensive dataset on the natural course of T2D, with repeated clinical measures and outcomes. In this paper, we describe the design of the DCS cohort.

PARTICIPANTS

The DCS consists of persons with T2D in primary care from the West-Friesland region of the Netherlands. Enrolment in the cohort started in 1998 and this prospective dynamic cohort currently holds 12 673 persons with T2D.

FINDINGS TO DATE

Clinical measures are collected annually, with a high internal validity due to the centrally organised standardised examinations. Microvascular complications are assessed by measuring kidney function, and screening feet and eyes. Information on cardiovascular disease is obtained by 1) self-report, 2) electrocardiography and 3) electronic patient records. In subgroups of the cohort, biobanking and additional measurements were performed to obtain information on, for example, lifestyle, depression and genomics. Finally, the DCS cohort is linked to national cancer and all-cause mortality registers. A selection of published findings from the DCS includes identification of subgroups with distinct development of haemoglobin A1c, blood pressure and retinopathy, and their predictors; validation of a prediction model for personalised retinopathy screening; the assessment of the role of genetics in development and treatment of T2D, providing options for personalised medicine.

FUTURE PLANS

We will continue with the inclusion of persons with newly diagnosed T2D, follow-up of persons in the cohort and linkage to morbidity and mortality registries. Currently, we are involved in (inter)national projects on, among others, biomarkers and prediction models for T2D and complications and we are interested in collaborations with external researchers.

TRIAL REGISTRATION

ISRCTN26257579.

Decision aids for people facing health treatment or screening decisions

BACKGROUND

Decision aids are interventions that support patients by making their decisions explicit, providing information about options and associated benefits/harms, and helping clarify congruence between decisions and personal values.

OBJECTIVES

To assess the effects of decision aids in people facing treatment or screening decisions.

SEARCH METHODS

Updated search (2012 to April 2015) in CENTRAL; MEDLINE; Embase; PsycINFO; and grey literature; includes CINAHL to September 2008.

SELECTION CRITERIA

We included published randomized controlled trials comparing decision aids to usual care and/or alternative interventions. For this update, we excluded studies comparing detailed versus simple decision aids.

DATA COLLECTION AND ANALYSIS

Two reviewers independently screened citations for inclusion, extracted data, and assessed risk of bias. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made and the decision-making process.Secondary outcomes were behavioural, health, and health system effects.We pooled results using mean differences (MDs) and risk ratios (RRs), applying a random-effects model. We conducted a subgroup analysis of studies that used the patient decision aid to prepare for the consultation and of those that used it in the consultation. We used GRADE to assess the strength of the evidence.

MAIN RESULTS

We included 105 studies involving 31,043 participants. This update added 18 studies and removed 28 previously included studies comparing detailed versus simple decision aids. During the 'Risk of bias' assessment, we rated two items (selective reporting and blinding of participants/personnel) as mostly unclear due to inadequate reporting. Twelve of 105 studies were at high risk of bias.With regard to the attributes of the choice made, decision aids increased participants' knowledge (MD 13.27/100; 95% confidence interval (CI) 11.32 to 15.23; 52 studies; N = 13,316; high-quality evidence), accuracy of risk perceptions (RR 2.10; 95% CI 1.66 to 2.66; 17 studies; N = 5096; moderate-quality evidence), and congruency between informed values and care choices (RR 2.06; 95% CI 1.46 to 2.91; 10 studies; N = 4626; low-quality evidence) compared to usual care.Regarding attributes related to the decision-making process and compared to usual care, decision aids decreased decisional conflict related to feeling uninformed (MD -9.28/100; 95% CI -12.20 to -6.36; 27 studies; N = 5707; high-quality evidence), indecision about personal values (MD -8.81/100; 95% CI -11.99 to -5.63; 23 studies; N = 5068; high-quality evidence), and the proportion of people who were passive in decision making (RR 0.68; 95% CI 0.55 to 0.83; 16 studies; N = 3180; moderate-quality evidence).Decision aids reduced the proportion of undecided participants and appeared to have a positive effect on patient-clinician communication. Moreover, those exposed to a decision aid were either equally or more satisfied with their decision, the decision-making process, and/or the preparation for decision making compared to usual care.Decision aids also reduced the number of people choosing major elective invasive surgery in favour of more conservative options (RR 0.86; 95% CI 0.75 to 1.00; 18 studies; N = 3844), but this reduction reached statistical significance only after removing the study on prophylactic mastectomy for breast cancer gene carriers (RR 0.84; 95% CI 0.73 to 0.97; 17 studies; N = 3108). Compared to usual care, decision aids reduced the number of people choosing prostate-specific antigen screening (RR 0.88; 95% CI 0.80 to 0.98; 10 studies; N = 3996) and increased those choosing to start new medications for diabetes (RR 1.65; 95% CI 1.06 to 2.56; 4 studies; N = 447). For other testing and screening choices, mostly there were no differences between decision aids and usual care.The median effect of decision aids on length of consultation was 2.6 minutes longer (24 versus 21; 7.5% increase). The costs of the decision aid group were lower in two studies and similar to usual care in four studies. People receiving decision aids do not appear to differ from those receiving usual care in terms of anxiety, general health outcomes, and condition-specific health outcomes. Studies did not report adverse events associated with the use of decision aids.In subgroup analysis, we compared results for decision aids used in preparation for the consultation versus during the consultation, finding similar improvements in pooled analysis for knowledge and accurate risk perception. For other outcomes, we could not conduct formal subgroup analyses because there were too few studies in each subgroup.

AUTHORS' CONCLUSIONS

Compared to usual care across a wide variety of decision contexts, people exposed to decision aids feel more knowledgeable, better informed, and clearer about their values, and they probably have a more active role in decision making and more accurate risk perceptions. There is growing evidence that decision aids may improve values-congruent choices. There are no adverse effects on health outcomes or satisfaction. New for this updated is evidence indicating improved knowledge and accurate risk perceptions when decision aids are used either within or in preparation for the consultation. Further research is needed on the effects on adherence with the chosen option, cost-effectiveness, and use with lower literacy populations.

Using an Internet-Based Breast Cancer Risk Assessment Tool to Improve Social-Cognitive Precursors of Physical Activity

BACKGROUND

Internet-based cancer risk assessment tools might serve as a strategy for translating epidemiological risk prediction research into public health practice. Understanding how such tools affect key social-cognitive precursors of behavior change is crucial for leveraging their potential into effective interventions.

PURPOSE

To test the effects of a publicly available, Internet-based, breast cancer risk assessment tool on social-cognitive precursors of physical activity.

METHODS

Women (N = 132) aged 40-78 with no personal cancer history indicated their perceived risk of breast cancer and were randomly assigned to receive personalized ( www.yourdiseaserisk.wustl.edu ) or nonpersonalized breast cancer risk information. Immediately thereafter, breast cancer risk perceptions and physical activity-related behavioral intentions, self-efficacy, and response efficacy were assessed.

RESULTS

Personalized information elicited higher intentions, self-efficacy, and response efficacy than nonpersonalized information, P values < 0.05. Self-efficacy and response efficacy mediated the effect of personalizing information on intentions. Women who received personalized information corrected their inaccurate risk perceptions to some extent, P values < 0.05, but few fully accepted the information.

CONCLUSION

Internet-based risk assessment tools can produce beneficial effects on important social-cognitive precursors of behavior change, but lingering skepticism, possibly due to defensive processing, needs to be addressed before the effects can be maximized.

Perceptions of risks for diabetes-related complications in Type 2 diabetes populations: a systematic review

AIM

In Type 2 diabetes, there is no clear understanding of how people perceive their risk of experiencing diabetes-related complications. To address this issue, we undertook an evidence-based synthesis of how people with Type 2 diabetes perceive their risk of complications.

METHODS

We performed a systematic search of nine electronic databases for peer-reviewed articles published on or before 1 March 2016. Data from 18 studies reporting lay perceptions of risks for complications in Type 2 diabetes populations were included. Publication year ranged between 2002 and 2014.

RESULTS

Methods used to assess risk perceptions were heterogeneous, ranging from questionnaires measuring the accuracy of perceived risks to semi-structured and focus group interviews. We found evidence of low risk awareness in most dimensions of risk perceptions measured and the existence of optimistic bias.

CONCLUSIONS

Perceptions were generally biased and varied according to the dimension of risk measured, the subpopulation concerned and the type of complications considered. Future work is needed to identify the best practical ways of correcting for biased risk perceptions so as to encourage self-care behaviours and treatment adherence.

Risk scoring for the primary prevention of cardiovascular disease

BACKGROUND

The current paradigm for cardiovascular disease (CVD) emphasises absolute risk assessment to guide treatment decisions in primary prevention. Although the derivation and validation of multivariable risk assessment tools, or CVD risk scores, have attracted considerable attention, their effect on clinical outcomes is uncertain.

OBJECTIVES

To assess the effects of evaluating and providing CVD risk scores in adults without prevalent CVD on cardiovascular outcomes, risk factor levels, preventive medication prescribing, and health behaviours.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library (2016, Issue 2), MEDLINE Ovid (1946 to March week 1 2016), Embase (embase.com) (1974 to 15 March 2016), and Conference Proceedings Citation Index-Science (CPCI-S) (1990 to 15 March 2016). We imposed no language restrictions. We searched clinical trial registers in March 2016 and handsearched reference lists of primary studies to identify additional reports.

SELECTION CRITERIA

We included randomised and quasi-randomised trials comparing the systematic provision of CVD risk scores by a clinician, healthcare professional, or healthcare system compared with usual care (i.e. no systematic provision of CVD risk scores) in adults without CVD.

DATA COLLECTION AND ANALYSIS

Three review authors independently selected studies, extracted data, and evaluated study quality. We used the Cochrane 'Risk of bias' tool to assess study limitations. The primary outcomes were: CVD events, change in CVD risk factor levels (total cholesterol, systolic blood pressure, and multivariable CVD risk), and adverse events. Secondary outcomes included: lipid-lowering and antihypertensive medication prescribing in higher-risk people. We calculated risk ratios (RR) for dichotomous data and mean differences (MD) or standardised mean differences (SMD) for continuous data using 95% confidence intervals. We used a fixed-effects model when heterogeneity (I²) was at least 50% and a random-effects model for substantial heterogeneity (I² > 50%). We evaluated the quality of evidence using the GRADE framework.

MAIN RESULTS

We identified 41 randomised controlled trials (RCTs) involving 194,035 participants from 6422 reports. We assessed studies as having high or unclear risk of bias across multiple domains. Low-quality evidence evidence suggests that providing CVD risk scores may have little or no effect on CVD events compared with usual care (5.4% versus 5.3%; RR 1.01, 95% confidence interval (CI) 0.95 to 1.08; I² = 25%; 3 trials, N = 99,070). Providing CVD risk scores may reduce CVD risk factor levels by a small amount compared with usual care. Providing CVD risk scores reduced total cholesterol (MD -0.10 mmol/L, 95% CI -0.20 to 0.00; I² = 94%; 12 trials, N = 20,437, low-quality evidence), systolic blood pressure (MD -2.77 mmHg, 95% CI -4.16 to -1.38; I² = 93%; 16 trials, N = 32,954, low-quality evidence), and multivariable CVD risk (SMD -0.21, 95% CI -0.39 to -0.02; I² = 94%; 9 trials, N = 9549, low-quality evidence). Providing CVD risk scores may reduce adverse events compared with usual care, but results were imprecise (1.9% versus 2.7%; RR 0.72, 95% CI 0.49 to 1.04; I² = 0%; 4 trials, N = 4630, low-quality evidence). Compared with usual care, providing CVD risk scores may increase new or intensified lipid-lowering medications (15.7% versus 10.7%; RR 1.47, 95% CI 1.15 to 1.87; I² = 40%; 11 trials, N = 14,175, low-quality evidence) and increase new or increased antihypertensive medications (17.2% versus 11.4%; RR 1.51, 95% CI 1.08 to 2.11; I² = 53%; 8 trials, N = 13,255, low-quality evidence).

AUTHORS' CONCLUSIONS

There is uncertainty whether current strategies for providing CVD risk scores affect CVD events. Providing CVD risk scores may slightly reduce CVD risk factor levels and may increase preventive medication prescribing in higher-risk people without evidence of harm. There were multiple study limitations in the identified studies and substantial heterogeneity in the interventions, outcomes, and analyses, so readers should interpret results with caution. New models for implementing and evaluating CVD risk scores in adequately powered studies are needed to define the role of applying CVD risk scores in primary CVD prevention.

Does information form matter when giving tailored risk information to patients in clinical settings? A review of patients' preferences and responses

Neoliberal emphasis on "responsibility" has colonized many aspects of public life, including how health care is provided. Clinical risk assessment of patients based on a range of data concerned with lifestyle, behavior, and health status has assumed a growing importance in many health systems. It is a mechanism whereby responsibility for self (preventive) care can be shifted to patients, provided that risk assessment data is communicated to patients in a way which is engaging and motivates change. This study aimed to look at whether the form in which tailored risk information was presented in a clinical setting (for example, using photographs, online data, diagrams etc.), was associated with differences in patients' responses and preferences to the material presented. We undertook a systematic review using electronic searching of nine databases, along with handsearching specialist journals and backward and forward citation searching. We identified eleven studies (eight with a randomized controlled trial design). Seven studies involved the use of computerized health risk assessments in primary care. Beneficial effects were relatively modest, even in studies merely aiming to enhance patient-clinician communication or to modify patients' risk perceptions. In our paper, we discuss the apparent importance of the accompanying discourse between patient and clinician, which appears to be necessary in order to impart meaning to information on "risk," irrespective of whether the material is personalized, or even presented in a vivid way. Thus, while expanding computer technologies might be able to generate a highly personalized account of patients' risk in a time efficient way, the need for face-to-face interactions to impart meaning to the data means that these new technologies cannot fully address the resource issues attendant with this type of approach.

Ten-year hemoglobin A1c trajectories and outcomes in type 2 diabetes mellitus: The Diabetes & Aging Study

AIMS

To classify trajectories of long term HbA1c values in patients after diagnosis of type 2 diabetes and examine each trajectory's associations with subsequent microvascular and macrovascular events and mortality.

METHODS

A longitudinal follow-up of 28,016 patients newly diagnosed with type 2 diabetes was conducted. Latent growth mixture modeling was used to identify ten-year HbA1c trajectories. Cox proportional hazards models were used to assess how HbA1c trajectories were associated with events (microvascular and macrovascular) and mortality.

RESULTS

We identified 5 HbA1c trajectories: "low stable" (82.5%), "moderate increasing late" (5.1%), "high decreasing early" (4.9%), "moderate peaking late" (4.1%) and "moderate peaking early" (3.3%). After adjusting for average HbA1c, compared to the low stable trajectory, all non-stable trajectories were associated with higher incidences of microvascular events (hazard ratio (HR) range, 1.28 (95% CI, 1.08-1.53) (high decreasing early) to 1.45 (95% CI, 1.20-1.75) (moderate peaking early)). The high decreasing early trajectory was associated with an increased mortality risk (HR, 1.27 (95% CI, 1.03-1.58)). Trajectories were not associated with macrovascular events.

CONCLUSIONS

Non-stable HbA1c trajectories were associated with greater risk of microvascular events and mortality. These findings suggest a potential benefit of early diabetes detection, prioritizing good glycemic control, and maintaining control over time.

Systematic development of a theory-informed multifaceted behavioural intervention to increase physical activity of adults with type 2 diabetes in routine primary care: Movement as Medicine for Type 2 Diabetes

BACKGROUND

Despite substantial evidence for physical activity (PA) as a management option for type 2 diabetes, there remains a lack of PA behavioural interventions suitable for delivery in primary care. This paper describes the systematic development of an evidence-informed PA behavioural intervention for use during routine primary care consultations.

METHODS

In accordance with the Medical Research Council Framework for the Development and Evaluation of Complex Interventions, a four-stage systematic development process was undertaken: (1) exploratory work involving interviews and workshop discussions identified training needs of healthcare professionals and support needs of adults with type 2 diabetes; (2) a systematic review with meta- and moderator analyses identified behaviour change techniques and optimal intervention intensity and duration; (3) usability testing identified strategies to increase implementation of the intervention in primary care and (4) an open pilot study in two primary care practices facilitated intervention optimisation.

RESULTS

Healthcare professional training needs included knowledge about type, intensity and duration of PA sufficient to improve glycaemic control and acquisition of skills to promote PA behaviour change. Patients lacked knowledge about type 2 diabetes and skills to enable them to make sustainable changes to their level of PA. An accredited online training programme for healthcare professionals and a professional-delivered behavioural intervention for adults with type 2 diabetes were subsequently developed. This multifaceted intervention was informed by the theory of planned behaviour and social cognitive theory and consisted of 15 behaviour change techniques. Intervention intensity and duration were informed by a systematic review. Usability testing resolved technical problems with the online training intervention that facilitated use on practice IT systems. An open pilot study of the intervention with fidelity of delivery assessment informed optimisation and identified mechanisms to enhance implementation of the intervention during routine diabetes consultations.

CONCLUSIONS

Movement as Medicine for Type 2 diabetes represents an evidence-informed multifaceted behavioural intervention targeting PA for management of type 2 diabetes developed for delivery in primary care. The structured development process undertaken enhances transparency of intervention content, replicability and scalability. Movement as Medicine for Type 2 diabetes is currently undergoing evaluation in a pilot RCT.

TRIAL REGISTRATION

ISRCTN67997502.

Recent Trends in Diabetes Knowledge, Perceptions, and Behaviors: Implications for National Diabetes Education

OBJECTIVES

Examine trends in diabetes-related knowledge, perceptions, and behavior among U.S. adults with and without a diagnosis of diabetes and among subpopulations at risk. Discuss implications for national diabetes education and for the National Diabetes Education Program (NDEP) in particular.

METHODS

Three population-based NDEP National Diabetes Surveys (2006, 2008, and 2011) collected information on diabetes knowledge, education, and self-management; perceived and actual risk of diabetes; and lifestyle changes.

RESULTS

Since 2006, U.S. adults significantly advanced their knowledge and awareness of diabetes and prediabetes. Perceived personal risk did not increase among people with prediabetes (PWP) or people at risk. Family history as a risk factor dropped in reported importance, especially among PWP and Hispanics. Diabetes self-management rose modestly, although checking blood sugar significantly declined. Trends in understanding the diabetes and cardiovascular disease link, A1C testing, and adjusted logistic regression results for perceived risk are discussed.

DISCUSSION AND IMPLICATIONS

Although diabetes-related knowledge has reached high levels, stagnant perceived risk suggests people at risk are not applying this knowledge to themselves. Future surveys are planned to include additional, specific questions to capture people's movement toward behavior change and to identify where strategic efforts and educational interventions can help promote improved behaviors.