The effectiveness of personalized coronary heart disease and stroke risk communication

Research progress in stroke risk perception assessment tool

BACKGROUND

One of the main illnesses in the globe that causes impairment and death in people is stroke. In the globe today, it ranks as the second leading cause of death and the leading cause of death in China.

OBJECTIVE

This paper analyses into the critical role of risk perception in developing individual awareness of stroke risk and encouraging proactive preventive health behaviors, essential for effective primary stroke prevention strategies and reduced stroke incidence. It discusses the concept of risk perception, the content and dimensions of global stroke assessment tools, and their application status, aiming to provide insights for their development and intervention research.

METHODS

Risk perception encompasses subjective assessments of stroke likelihood and severity, influenced by personal experiences, knowledge of risk factors, beliefs about prevention effectiveness, and emotional responses. Global stroke assessment tools, like the Framingham Stroke Risk Score and CHA2DS2-VASc Score, evaluate stroke risk based on factors such as age, gender, blood pressure, and cholesterol levels. In order to improve risk perception and proactive health management and lower the burden of strokes, the paper assesses the advantages and disadvantages of these tools and makes recommendations for improving accessibility, customizing interventions, running educational campaigns, promoting multidisciplinary collaboration, and integrating technology.

RESULTS

By combining the research tools of stroke risk perception, it is found that the evaluation tools are mostly single-dimensional evaluation tools centered on the two dimensions of onset possibility and susceptibility.

CONCLUSION

Some scholars have developed multi-dimensional evaluation tools, but the evaluation population is relatively limited, and the evaluation system lacks comprehensiveness and systematization.

Patients' and physicians' beliefs and attitudes towards integrating personalized risk estimates into patient education about left ventricular assist device therapy

BACKGROUND

Personalized risk (PR) estimates may enhance clinical decision making and risk communication by providing individualized estimates of patient outcomes. We explored stakeholder attitudes toward the utility, acceptability, usefulness and best-practices for integrating PR estimates into patient education and decision making about Left Ventricular Assist Device (LVAD).

METHODS AND RESULTS

As part of a 5-year multi-institutional AHRQ project, we conducted 40 interviews with stakeholders (physicians, nurse coordinators, patients, and caregivers), analyzed using Thematic Content Analysis. All stakeholder groups voiced positive views towards integrating PR in decision making. Patients, caregivers and coordinators emphasized that PR can help to better understand a patient's condition and risks, prepare mentally and logistically for likely outcomes, and meaningfully engage in decision making. Physicians felt it can improve their decision making by enhancing insight into outcomes, enhance tailored pre-emptive care, increase confidence in decisions, and reduce bias and subjectivity. All stakeholder groups also raised concerns about accuracy, representativeness and relevance of algorithms; predictive uncertainty; utility in relation to physician's expertise; potential negative reactions among patients; and overreliance.

CONCLUSION

Stakeholders are optimistic about integrating PR into clinical decision making, but acceptability depends on prospectively demonstrating accuracy, relevance and evidence that benefits of PR outweigh potential negative impacts on decision making quality.

Cardiovascular disease risk communication: Strategies, impact, and future directions

Cardiovascular disease (CVD) prevails as the leading cause of global mortality, claiming the lives of an estimated 17.9 million individuals in 2019, representing a substantial portion of worldwide mortality. Research indicates that individuals with a deeper understanding of their cardiovascular health are more inclined to adhere to preventive measures, potentially leading to improved outcomes. Moreover, inadequate communication may undermine confidence in healthcare professionals, fostering anxiety and other adverse consequences. CVD risk communication serves as a powerful tool in enhancing comprehension and supporting informed decisions regarding the clinical management of CVD. This review examines the impact of CVD risk communication on cardiovascular outcomes, exploring diverse strategies for conveying information about cardiovascular risks and preventive measures. The effectiveness of these strategies in influencing patient behavior and health outcomes is thoroughly assessed. Furthermore, gaps in current approaches are discussed, and future directions are proposed for enhancing CVD risk communication and improving patient education, engagement, and overall cardiovascular health.

Efficacy of a self-monitoring traffic light diary on outcomes of patients with heart failure: A randomized controlled trial

BACKGROUND AND OBJECTIVE

Patients with heart failure experience high hospitalization. However, patients cannot recognize symptoms according to current approaches, which needs to be improved by new self-monitoring instruments and strategies. Thus, we aimed to assess a self-monitoring traffic light diary on outcomes of patients with heart failure.

METHODS

This was a single-blind, two-arm parallel group randomized controlled trial at the heart failure clinic of Tehran Heart Center (Tehran, Iran). Adult patients with a definitive diagnosis of heart failure with reduced ejection fraction (i.e., ejection fraction of less than 40 %), and New York Heart Association functional classes II-IV were included. A block-balanced randomization method was used to assign eligible subjects to the intervention or control group. Baseline data were collected before random allocation. Participants in the intervention group received a comprehensive intervention consisting of (1) self-care education by an Australian Heart Foundation booklet on heart failure, (2) regular self-monitoring of weight and shortness of breath at home, and (3) scheduled call follow-ups for three months. Patients in the control group received usual care. The primary outcome was heart failure self-care; the secondary outcomes were heart failure quality of life, knowledge, and all-cause hospitalization.

RESULTS

From June to August 2017, 68 patients were included in the study. The overall age of participants was 55 (13.6) years old, and 71 % of patients were male. A significant association between the intervention and self-care maintenance (β 5.1; 95 % CI 2.50 to 7.70, P < 0.001), self-care management (β 10.6; 95 % CI 6.50 to 14.8, P < 0.001), self-care confidence (β 8.0; 95 % CI 5.0 to 11.0, P < 0.001) and heart failure knowledge (β 1.7; 95 % CI 1.30, 2.04; P < 0.001) was found. However, there was no association between the intervention and quality of life (β 2.5; 95 % CI -0.79, 5.88, P 0.135) and hospitalization-free survival of the two groups (Log-Rank P 0.540).

CONCLUSION

A self-monitoring traffic light diary can improve self-care behaviors and heart failure knowledge in patients with heart failure with reduced ejection fraction.

RCT APPROVAL ID

Iranian Registry of Clinical Trials IRCT2017021032476N1.

STUDY PROTOCOL

PMCID: PMC6262204.

Cardiovascular disease risk communication and prevention: a meta-analysis

BACKGROUND AND AIMS

Knowledge of quantifiable cardiovascular disease (CVD) risk may improve health outcomes and trigger behavioural change in patients or clinicians. This review aimed to investigate the impact of CVD risk communication on patient-perceived CVD risk and changes in CVD risk factors.

METHODS

PubMed, Embase, and PsycINFO databases were searched from inception to 6 June 2023, supplemented by citation analysis. Randomized trials that compared any CVD risk communication strategy versus usual care were included. Paired reviewers independently screened the identified records and extracted the data; disagreements were resolved by a third author. The primary outcome was the accuracy of risk perception. Secondary outcomes were clinician-reported changes in CVD risk, psychological responses, intention to modify lifestyle, and self-reported changes in risk factors and clinician prescribing of preventive medicines.

RESULTS

Sixty-two trials were included. Accuracy of risk perception was higher among intervention participants (odds ratio = 2.31, 95% confidence interval = 1.63 to 3.27). A statistically significant improvement in overall CVD risk scores was found at 6-12 months (mean difference = -0.27, 95% confidence interval = -0.45 to -0.09). For primary prevention, risk communication significantly increased self-reported dietary modification (odds ratio = 1.50, 95% confidence interval = 1.21 to 1.86) with no increase in intention or actual changes in smoking cessation or physical activity. A significant impact on patients' intention to start preventive medication was found for primary and secondary prevention, with changes at follow-up for the primary prevention group.

CONCLUSIONS

In this systematic review and meta-analysis, communicating CVD risk information, regardless of the method, reduced the overall risk factors and enhanced patients' self-perceived risk. Communication of CVD risk to patients should be considered in routine consultations.

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.

From risk communication about asymptomatic atherosclerosis to cognitive and emotional reactions and lifestyle modification

BACKGROUND

Non-adherence in the general population to preventive guidelines on cardiovascular disease calls for an interdisciplinary approach acknowledging psychological factors of relevance for risk communication and lifestyle modification. Evidence is building up regarding the advantage of sharing arterial imaging evidence of subclinical atherosclerosis with asymptomatic individuals, but there is limited understanding of how this relates to mechanisms of importance for behavioural change. Longitudinal studies on associations between patients' reactions and lifestyle modification are missing. The population-based randomized controlled trial VIPVIZA investigates the impact of pictorial information about subclinical atherosclerosis, added to traditional risk factor-based communication. The intervention includes a personalized, colour-coded and age-related risk communication strategy and a motivational conversation, and has been shown to reduce cardiovascular disease risk.

METHODS

In the present study we assessed cognitive and emotional reactions to the intervention, and how these reactions are associated to lifestyle modification. The participants' evaluation of the risk communication was assessed in the intervention group (n = 1749). Lifestyle modification was assessed with a lifestyle index based on physical activity, diet, smoking and alcohol consumption at baseline and after 3 years. Associations between cognitive and emotional response and lifestyle modification were tested with analyses of covariance in a subset of participants (n = 714-857).

RESULTS

The intervention increased understanding of personal CVD risk, the possibility to influence the risk, and how to influence the risk. Severity of atherosclerosis was associated with emotional reactions, but emotions of strong negative valence were uncommon. Cognitive response and emotional arousal evoked by the intervention were positively associated with lifestyle modification, whereas negative emotions in isolation were not. High level of cognitive response in combination with high level of emotional arousal was found to be most beneficial for lifestyle modification.

CONCLUSIONS

The results demonstrate the potential of communicating asymptomatic atherosclerosis with a pictorial, colour-coded and age-related strategy, also including a motivational conversation. Furthermore, the results show the importance of CVD risk communication evoking engagement, and that an interaction between cognitive and emotional reactions might be central for sustained lifestyle modification. Our results also indicate that, in an asymptomatic population, atherosclerosis screening may strengthen disease prevention and health promotion.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT01849575. Registration date 08/05/2013.

Big Data in Stroke: How to Use Big Data to Make the Next Management Decision

The last decade has seen significant advances in the accumulation of medical data, the computational techniques to analyze that data, and corresponding improvements in management. Interventions such as thrombolytics and mechanical thrombectomy improve patient outcomes after stroke in selected patients; however, significant gaps remain in our ability to select patients, predict complications, and understand outcomes. Big data and the computational methods needed to analyze it can address these gaps. For example, automated analysis of neuroimaging to estimate the volume of brain tissue that is ischemic and salvageable can help triage patients for acute interventions. Data-intensive computational techniques can perform complex risk calculations that are too cumbersome to be completed by humans, resulting in more accurate and timely prediction of which patients require increased vigilance for adverse events such as treatment complications. To handle the accumulation of complex medical data, a variety of advanced computational techniques referred to as machine learning and artificial intelligence now routinely complement traditional statistical inference. In this narrative review, we explore data-intensive techniques in stroke research, how it has informed the management of stroke patients, and how current work could shape clinical practice in the future.

Inpatient assessment of the neurological outcome of acute stroke patients based on the National Institute of Health Stroke Scale (NIHSS)

OBJECTIVE

Identify the association between stroke severity and the neurological outcome of an acute stroke using the National Institutes of Health stroke scale (NIHSS).

STUDY DESIGN

A descriptive cross-sectional study.Place and duration of study: Northwest hospital Hayatabad Peshawar.

METHODOLOGY

A cross-sectional descriptive study was done in the general plus stroke unit of the northwest hospital in Peshawar, KPK during Jan 2022 to July 2022.400 admitted patients diagnosed with acute stroke in the past three months were included for NIHSS assessment and were classified as mild, moderate, or severe stroke. After entering all of the data from the collection into SPSS version 16, the information was transferred to an Excel spreadsheet. To further assess the results, the researcher and statistician evaluated all of the cases, radiological findings, and laboratory test data.

RESULTS

In this cross-sectional descriptive study, 400 individuals ranging from 30 to 90 years of age were divided into two groups: males and females. The survey was conducted by 49% of men and 51% of women. The stroke severity was assessed to be mild in 22% of cases, moderate in 49%, and severe in 29% of patients. As evaluated by the NIHSS, Patients with acute ischemic stroke were divided into four groups depending on their neurological outcomes: those who improved were 160 (40%), those who remained stable were 124 (31%), and those who deteriorated were 52 (13%), and those who died were 64 (16%). Patients with greater triglyceride levels were 88, while those with lower levels were 312. Acute stroke was also detected in 34% of patients with a covid history, 28% of patients who were covid positive, and 38% of patients who were covid free in this investigation.

CONCLUSION

According to our findings, the NIHSS is a reliable scale for evaluating patients' neurological outcomes and determining the association between acute stroke severity and cognitive functioning (NIHSS).

Cardiovascular risk communication strategies in primary prevention. A systematic review with narrative synthesis

AIM

To evaluate the effectiveness of cardiovascular risk communication strategies to improve understanding and promote risk factor modification.

DESIGN

Systematic review with narrative synthesis.

DATA SOURCES

A comprehensive database search for quantitative and qualitative studies was conducted in five databases, Cumulative Index to Nursing and Allied health Literature (CINAHL), Medical Literature Analysis and Retrieval System Online (MEDLINE), EMBASE, Applied Social Sciences Index and Abstracts (ASSIA) and Web of Science. The searches were conducted between 1980 and July 2019.

REVIEW METHODS

The systematic review was conducted in accordance with Cochrane review methods. Data were extracted and a narrative synthesis of quantitative and qualitative results was undertaken.

RESULTS

The abstracts of 16,613 articles were assessed and 210 underwent in-depth review, with 31 fulfilling the inclusion criteria. We observed significant heterogeneity across study designs and outcomes. Nine communication strategies were identified including numerical formats, graphical formats, qualitative information, infographics, avatars, game interactions, timeframes, genetic risk scores and cardiovascular imaging. Strategies that used cardiovascular imaging had the biggest impact on health behaviour change and risk factor modification. Improvements were seen in diet, exercise, smoking, risk scores, cholesterol and intentions to take preventive medication.

CONCLUSION

A wide range of cardiovascular risk communication strategies has been evaluated, with those that employ personalized and visual evidence of current cardiovascular health status more likely to promote action to reduce risk.

IMPACT

Future risk communication strategies should incorporate methods to provide individuals with evidence of their current cardiovascular health status.

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.

Interventions for improving medication-taking ability and adherence in older adults prescribed multiple medications

BACKGROUND

Older people taking multiple medications represent a large and growing proportion of the population. Managing multiple medications can be challenging, and this is especially the case for older people, who have higher rates of comorbidity and physical and cognitive impairment than younger adults. Good medication-taking ability and medication adherence are necessary to ensure safe and effective use of medications.

OBJECTIVES

To evaluate the effectiveness of interventions designed to improve medication-taking ability and/or medication adherence in older community-dwelling adults prescribed multiple long-term medications.

SEARCH METHODS

We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, CINAHL Plus, and International Pharmaceutical Abstracts from inception until June 2019. We also searched grey literature, online trial registries, and reference lists of included studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), quasi-RCTs, and cluster-RCTs. Eligible studies tested interventions aimed at improving medication-taking ability and/or medication adherence among people aged ≥ 65 years (or of mean/median age > 65 years), living in the community or being discharged from hospital back into the community, and taking four or more regular prescription medications (or with group mean/median of more than four medications). Interventions targeting carers of older people who met these criteria were also included.

DATA COLLECTION AND ANALYSIS

Two review authors independently reviewed abstracts and full texts of eligible studies, extracted data, and assessed risk of bias of included studies. We conducted meta-analyses when possible and used a random-effects model to yield summary estimates of effect, risk ratios (RRs) for dichotomous outcomes, and mean differences (MDs) or standardised mean differences (SMDs) for continuous outcomes, along with 95% confidence intervals (CIs). Narrative synthesis was performed when meta-analysis was not possible. We assessed overall certainty of evidence for each outcome using Grades of Recommendation, Assessment, Development and Evaluation (GRADE). Primary outcomes were medication-taking ability and medication adherence. Secondary outcomes included health-related quality of life (HRQoL), emergency department (ED)/hospital admissions, and mortality.

MAIN RESULTS

We identified 50 studies (14,269 participants) comprising 40 RCTs, six cluster-RCTs, and four quasi-RCTs. All included studies evaluated interventions versus usual care; six studies also reported a comparison between two interventions as part of a three-arm RCT design. Interventions were grouped on the basis of their educational and/or behavioural components: 14 involved educational components only, 7 used behavioural strategies only, and 29 provided mixed educational and behavioural interventions. Overall, our confidence in results regarding the effectiveness of interventions was low to very low due to a high degree of heterogeneity of included studies and high or unclear risk of bias across multiple domains in most studies. Five studies evaluated interventions for improving medication-taking ability, and 48 evaluated interventions for improving medication adherence (three studies evaluated both outcomes). No studies involved educational or behavioural interventions alone for improving medication-taking ability. Low-quality evidence from five studies, each using a different measure of medication-taking ability, meant that we were unable to determine the effects of mixed interventions on medication-taking ability. Low-quality evidence suggests that behavioural only interventions (RR 1.22, 95% CI 1.07 to 1.38; 4 studies) and mixed interventions (RR 1.22, 95% CI 1.08 to 1.37; 12 studies) may increase the proportions of people who are adherent compared with usual care. We could not include in the meta-analysis results from two studies involving mixed interventions: one had a positive effect on adherence, and the other had little or no effect. Very low-quality evidence means that we are uncertain of the effects of educational only interventions (5 studies) on the proportions of people who are adherent. Low-quality evidence suggests that educational only interventions (SMD 0.16, 95% CI -0.12 to 0.43; 5 studies) and mixed interventions (SMD 0.47, 95% CI -0.08 to 1.02; 7 studies) may have little or no impact on medication adherence assessed through continuous measures of adherence. We excluded 10 studies (4 educational only and 6 mixed interventions) from the meta-analysis including four studies with unclear or no available results. Very low-quality evidence means that we are uncertain of the effects of behavioural only interventions (3 studies) on medication adherence when assessed through continuous outcomes. Low-quality evidence suggests that mixed interventions may reduce the number of ED/hospital admissions (RR 0.67, 95% CI 0.50 to 0.90; 11 studies) compared with usual care, although results from six further studies that we were unable to include in meta-analyses indicate that the intervention may have a smaller, or even no, effect on these outcomes. Similarly, low-quality evidence suggests that mixed interventions may lead to little or no change in HRQoL (7 studies), and very low-quality evidence means that we are uncertain of the effects on mortality (RR 0.93, 95% CI 0.67 to 1.30; 7 studies). Moderate-quality evidence shows that educational interventions alone probably have little or no effect on HRQoL (6 studies) or on ED/hospital admissions (4 studies) when compared with usual care. Very low-quality evidence means that we are uncertain of the effects of behavioural interventions on HRQoL (1 study) or on ED/hospital admissions (2 studies). We identified no studies evaluating effects of educational or behavioural interventions alone on mortality. Six studies reported a comparison between two interventions; however due to the limited number of studies assessing the same types of interventions and comparisons, we are unable to draw firm conclusions for any outcomes.

AUTHORS' CONCLUSIONS

Behavioural only or mixed educational and behavioural interventions may improve the proportion of people who satisfactorily adhere to their prescribed medications, but we are uncertain of the effects of educational only interventions. No type of intervention was found to improve adherence when it was measured as a continuous variable, with educational only and mixed interventions having little or no impact and evidence of insufficient quality to determine the effects of behavioural only interventions. We were unable to determine the impact of interventions on medication-taking ability. The quality of evidence for these findings is low due to heterogeneity and methodological limitations of studies included in the review. Further well-designed RCTs are needed to investigate the effects of interventions for improving medication-taking ability and medication adherence in older adults prescribed multiple medications.

A primary healthcare information intervention for communicating cardiovascular risk to patients with poorly controlled hypertension: The Education and Coronary Risk Evaluation (Educore) study-A pragmatic, cluster-randomized trial

PURPOSE

Uncertainty exists regarding the best way to communicate cardiovascular risk (CVR) to patients, and it is unclear whether the comprehension and perception of CVR varies according to the format used. The aim of the present work was to determine whether a strategy designed for communicating CVR information to patients with poorly controlled high blood pressure (HBP), but with no background of cardiovascular disease, was more effective than usual care in the control of blood pressure (BP) over the course of a year.

METHODS

A pragmatic, two-arm, cluster-randomized controlled trial was performed. Consecutive patients aged 40-65 years, all diagnosed with HBP in the last 12 months, and all of whom showed poor control of their condition (systolic BP ≥140 mmHg and/or diastolic BP ≥90 mmHg), were recruited at 22 primary healthcare centres. Eleven centres were randomly assigned to the usual care arm, and 11 to the informative intervention arm (Educore arm). At the start of the study, the Educore arm subjects were shown the "low risk SCORE table", along with impacting images and information pamphlets encouraging the maintenance of good cardiovascular health. The main outcome variable measured was the control of HBP; the secondary outcome variables were SCORE table score, total plasma cholesterol concentration, use of tobacco, adherence to prescribed treatment, and quality of life.

RESULTS

The study participants were 411 patients (185 in the Educore arm and 226 in the usual care arm). Multilevel logistic regression showed that, at 12 months, the Educore intervention achieved better control of HBP (OR = 1.57; 1.02 to 2.41). No statistically significant differences were seen between the two arms at 12 months with respect to the secondary outcomes.

CONCLUSIONS

Compared to usual care, the Educore intervention was associated with better control of HBP after adjusting for age, baseline SBP and plasma cholesterol, at 12 months.

Short-term mental distress in research participants after receiving cardiovascular risk information

Background

Understanding of how cardiovascular risk information influence individuals is critical for the practice of risk assessment and the management of patients with cardiovascular disease.

Objectives

The objective of this study was to investigate change in mental distress among research participants after undergoing a cardiovascular risk assessment and receiving individual test results.

Methods

In 2017, a questionnaire measuring mental distress after taking part in a risk assessment was distributed among 615 participants in the Swedish Cardiopulmonary Bio Image Study in Uppsala, Sweden, aged 50–64 years. Outcome measures were re-assessed after three months (30% were lost to follow-up).

Results

There were no differences in outcomes after three months for participants with normal test results or for participants who were referred to primary health care. Mental distress increased in participants who were referred to the hospital, and were further explained by the fact that these participants were diagnosed with coronary artery stenosis.

Conclusions

CV risk information can be provided to individuals with lower levels of risk without concerns of inducing mental distress. However, in order to prevent unnecessary worry in contexts similar to this study, one should be prepared for different risk outcomes and plan for support for individuals with higher risk. The increased utility of powerful, yet not fully mature, imaging techniques requires careful considerations extending beyond medical risks and benefits; the clinician must also take into account the risk of mental distress and secure support when necessary.

Biomedical risk assessment as an aid for smoking cessation

BACKGROUND

A possible strategy for increasing smoking cessation rates could be to provide smokers with feedback on the current or potential future biomedical effects of smoking using, for example, measurement of exhaled carbon monoxide (CO), lung function, or genetic susceptibility to lung cancer or other diseases.

OBJECTIVES

The main objective was to determine the efficacy of providing smokers with feedback on their exhaled CO measurement, spirometry results, atherosclerotic plaque imaging, and genetic susceptibility to smoking-related diseases in helping them to quit smoking.

SEARCH METHODS

For the most recent update, we searched the Cochrane Tobacco Addiction Group Specialized Register in March 2018 and ClinicalTrials.gov and the WHO ICTRP in September 2018 for studies added since the last update in 2012.

SELECTION CRITERIA

Inclusion criteria for the review were: a randomised controlled trial design; participants being current smokers; interventions based on a biomedical test to increase smoking cessation rates; control groups receiving all other components of intervention; and an outcome of smoking cessation rate at least six months after the start of the intervention.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. We expressed results as a risk ratio (RR) for smoking cessation with 95% confidence intervals (CI). Where appropriate, we pooled studies using a Mantel-Haenszel random-effects method.

MAIN RESULTS

We included 20 trials using a variety of biomedical tests interventions; one trial included two interventions, for a total of 21 interventions. We included a total of 9262 participants, all of whom were adult smokers. All studies included both men and women adult smokers at different stages of change and motivation for smoking cessation. We judged all but three studies to be at high or unclear risk of bias in at least one domain. We pooled trials in three categories according to the type of biofeedback provided: feedback on risk exposure (five studies); feedback on smoking-related disease risk (five studies); and feedback on smoking-related harm (11 studies). There was no evidence of increased cessation rates from feedback on risk exposure, consisting mainly of feedback on CO measurement, in five pooled trials (RR 1.00, 95% CI 0.83 to 1.21; I² = 0%; n = 2368). Feedback on smoking-related disease risk, including four studies testing feedback on genetic markers for cancer risk and one study with feedback on genetic markers for risk of Crohn's disease, did not show a benefit in smoking cessation (RR 0.80, 95% CI 0.63 to 1.01; I² = 0%; n = 2064). Feedback on smoking-related harm, including nine studies testing spirometry with or without feedback on lung age and two studies on feedback on carotid ultrasound, also did not show a benefit (RR 1.26, 95% CI 0.99 to 1.61; I² = 34%; n = 3314). Only one study directly compared multiple forms of measurement with a single form of measurement, and did not detect a significant difference in effect between measurement of CO plus genetic susceptibility to lung cancer and measurement of CO only (RR 0.82, 95% CI 0.43 to 1.56; n = 189).

AUTHORS' CONCLUSIONS

There is little evidence about the effects of biomedical risk assessment as an aid for smoking cessation. The most promising results relate to spirometry and carotid ultrasound, where moderate-certainty evidence, limited by imprecision and risk of bias, did not detect a statistically significant benefit, but confidence intervals very narrowly missed one, and the point estimate favoured the intervention. A sensitivity analysis removing those studies at high risk of bias did detect a benefit. Moderate-certainty evidence limited by risk of bias did not detect an effect of feedback on smoking exposure by CO monitoring. Low-certainty evidence, limited by risk of bias and imprecision, did not detect a benefit from feedback on smoking-related risk by genetic marker testing. There is insufficient evidence with which to evaluate the hypothesis that multiple types of assessment are more effective than single forms of assessment.

Measurement and Outcomes of the Perceived Risk of Stroke: A Review

Stroke continues to be a public health problem, and risk perceptions are key to understanding people's thoughts about stroke risk and their preventive health behaviors. This review identifies how the perceived risk of stroke has been measured and outcomes in terms of levels, predictors, accuracy, and intervention results. Sixteen studies were included. The perceived risk of stroke has primarily been assessed with single-item measures; no multi-item surveys were found. In general, people tend to perceive a low-moderate risk of stroke; the most common predictors of higher stroke risk perceptions were having risk factors for stroke (hypertension, diabetes) and a higher number of risk factors. However, inaccuracies were common; at least half of respondents underestimated/overestimated their risk. Few studies have examined whether interventions can improve the perceived risk of stroke. Strategies to improve stroke risk perceptions should be explored to determine whether accuracy can promote healthy lifestyles to reduce stroke risk.

A Coaching by Telephone Intervention on Engaging Patients to Address Modifiable Cardiovascular Risk Factors: a Randomized Controlled Trial

BACKGROUND

A large proportion of deaths and chronic illnesses can be attributed to three modifiable risk factors: tobacco use, overweight/obesity, and physical inactivity.

OBJECTIVE

To test whether telephone-based health coaching after completion of a comprehensive health risk assessment (HRA) increases patient activation and enrollment in a prevention program compared to HRA completion alone.

DESIGN

Two-arm randomized trial at three sites.

SETTING

Primary care clinics at Veterans Affairs facilities.

PARTICIPANTS

Four hundred seventeen veterans with at least one modifiable risk factor (BMI ≥ 30, < 150 min of at least moderate physically activity per week, or current smoker).

INTERVENTION

Participants completed an online HRA. Intervention participants received two telephone-delivered health coaching calls at 1 and 4 weeks to collaboratively set goals to enroll in, and attend structured prevention programs designed to reduce modifiable risk factors.

MEASUREMENTS

Primary outcome was enrollment in a structured prevention program by 6 months. Secondary outcomes were Patient Activation Measure (PAM) and Framingham Risk Score (FRS).

RESULTS

Most participants were male (85%), white (50%), with a mean age of 56. Participants were eligible, because their BMI was ≥ 30 (80%), they were physically inactive (50%), and/or they were current smokers (39%). When compared to HLA only at 6 months, health coaching intervention participants reported higher rates of enrollment in a prevention program, 51 vs 29% (OR = 2.5; 95% CI: 1.7, 3.9; p < 0.0001), higher rates of program participation, 40 vs 23% (OR = 2.3; 95% CI: 1.5, 3.6; p = 0.0004), and greater improvement in PAM scores, mean difference 2.5 (95% CI: 0.2, 4.7; p = 0.03), but no change in FRS scores, mean difference 0.7 (95% CI - 0.7, 2.2; p = 0.33).

CONCLUSIONS

Brief telephone health coaching after completing an online HRA increased patient activation and increased enrollment in structured prevention programs to improve health behaviors. CLINICALTRIALS.

GOV IDENTIFIER

NCT01828567.

Interventions for improving modifiable risk factor control in the secondary prevention of stroke

BACKGROUND

People with stroke or transient ischaemic attack (TIA) are at increased risk of future stroke and other cardiovascular events. Stroke services need to be configured to maximise the adoption of evidence-based strategies for secondary stroke prevention. Smoking-related interventions were examined in a separate review so were not considered in this review. This is an update of our 2014 review.

OBJECTIVES

To assess the effects of stroke service interventions for implementing secondary stroke prevention strategies on modifiable risk factor control, including patient adherence to prescribed medications, and the occurrence of secondary cardiovascular events.

SEARCH METHODS

We searched the Cochrane Stroke Group Trials Register (April 2017), the Cochrane Effective Practice and Organisation of Care Group Trials Register (April 2017), CENTRAL (the Cochrane Library 2017, issue 3), MEDLINE (1950 to April 2017), Embase (1981 to April 2017) and 10 additional databases including clinical trials registers. We located further studies by searching reference lists of articles and contacting authors of included studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) that evaluated the effects of organisational or educational and behavioural interventions (compared with usual care) on modifiable risk factor control for secondary stroke prevention.

DATA COLLECTION AND ANALYSIS

Four review authors selected studies for inclusion and independently extracted data. The quality of the evidence as 'high', 'moderate', 'low' or 'very low' according to the GRADE approach (GRADEpro GDT).Three review authors assessed the risk of bias for the included studies. We sought missing data from trialists.The results are presented in 'Summary of findings' tables.

MAIN RESULTS

The updated review included 16 new studies involving 25,819 participants, resulting in a total of 42 studies including 33,840 participants. We used the Cochrane risk of bias tool and assessed three studies at high risk of bias; the remainder were considered to have a low risk of bias. We included 26 studies that predominantly evaluated organisational interventions and 16 that evaluated educational and behavioural interventions for participants. We pooled results where appropriate, although some clinical and methodological heterogeneity was present.Educational and behavioural interventions showed no clear differences on any of the review outcomes, which include mean systolic and diastolic blood pressure, mean body mass index, achievement of HbA1c target, lipid profile, mean HbA1c level, medication adherence, or recurrent cardiovascular events. There was moderate-quality evidence that organisational interventions resulted in improved blood pressure control, in particular an improvement in achieving target blood pressure (odds ratio (OR) 1.44, 95% confidence interval (CI) 1.09 to1.90; 13 studies; 23,631 participants). However, there were no significant changes in mean systolic blood pressure (mean difference (MD), -1.58 mmHg 95% CI -4.66 to 1.51; 16 studies; 17,490 participants) and mean diastolic blood pressure (MD -0.91 mmHg 95% CI -2.75 to 0.93; 14 studies; 17,178 participants). There were no significant changes in the remaining review outcomes.

AUTHORS' CONCLUSIONS

We found that organisational interventions may be associated with an improvement in achieving blood pressure target but we did not find any clear evidence that these interventions improve other modifiable risk factors (lipid profile, HbA1c, medication adherence) or reduce the incidence of recurrent cardiovascular events. Interventions, including patient education alone, did not lead to improvements in modifiable risk factor control or the prevention of recurrent cardiovascular events.

Evaluation of a train-the-trainer program for stable coronary artery disease management in community settings: A pilot study

OBJECTIVE

To evaluate the feasibility and effectiveness of conducting a train-the-trainer (TTT) program for stable coronary artery disease (SCAD) management in community settings.

METHODS

The study involved two steps: (1) tutors trained community nurses as trainers and (2) the community nurses trained patients. 51 community nurses attended a 2-day TTT program and completed questionnaires assessing knowledge, self-efficacy, and satisfaction. By a feasibility and non-randomized control study, 120 SCAD patients were assigned either to intervention group (which received interventions from trained nurses) or control group (which received routine management). Pre- and post-intervention, patients' self-management behaviors and satisfaction were assessed to determine the program's overall impact.

RESULTS

Community nurses' knowledge and self-efficacy improved (P<0.001), as did intervention group patients' self-management behaviors (P<0.001). The satisfaction of community nurses and patients was all very positive after training.

CONCLUSION

The TTT program for SCAD management in community settings in China was generally feasible and effective, but many obstacles remain including patients' noncompliance, nurses' busy work schedules, and lack of policy supports.

PRACTICE IMPLICATIONS

Finding ways to enhance the motivation of community nurses and patients with SCAD are important in implementing community-based TTT programs for SCAD management; further multicenter and randomized control trials are needed.

Factors associated with confidence in decision making and satisfaction with risk communication among patients with atrial fibrillation

Background:

Atrial fibrillation is a prevalent cardiac arrhythmia. Effective communication of risks (e.g. stroke risk) and benefits of treatment (e.g. oral anticoagulants) is crucial for the process of shared decision making.

Aim:

The aim of this study was to explore factors associated with confidence in decision making and satisfaction with risk communication after a follow-up visit among patients who three months earlier had visited an emergency room for atrial fibrillation related symptoms.

Methods:

A cross-sectional design was used and 322 patients (34% women), mean age 66.1 years (SD 10.5 years) with atrial fibrillation were included in the south of Sweden. Clinical examinations were done post an atrial fibrillation episode. Self-rating scales for communication (Combined Outcome Measure for Risk Communication and Treatment Decision Making Effectiveness), uncertainty in illness (Mishel Uncertainty in Illness Scale–Community), mastery of daily life (Mastery Scale), depressive symptoms (Hospital Anxiety and Depression Scale) and vitality, physical health and mental health (36-item Short Form Health Survey) were used to collect data.

Results:

Decreased vitality and mastery of daily life, as well as increased uncertainty in illness, were independently associated with lower confidence in decision making. Absence of hypertension and increased uncertainty in illness were independently associated with lower satisfaction with risk communication. Clinical atrial fibrillation variables or depressive symptoms were not associated with satisfaction with confidence in decision making or satisfaction with risk communication. The final models explained 29.1% and 29.5% of the variance in confidence in decision making and satisfaction with risk communication.

Conclusion:

Confidence in decision making is associated with decreased vitality and mastery of daily life, as well as increased uncertainty in illness, while absence of hypertension and increased uncertainty in illness are associated with risk communication satisfaction.

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.

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.

Stroke Risk Factors, Genetics, and Prevention

Stroke is a heterogeneous syndrome, and determining risk factors and treatment depends on the specific pathogenesis of stroke. Risk factors for stroke can be categorized as modifiable and nonmodifiable. Age, sex, and race/ethnicity are nonmodifiable risk factors for both ischemic and hemorrhagic stroke, while hypertension, smoking, diet, and physical inactivity are among some of the more commonly reported modifiable risk factors. More recently described risk factors and triggers of stroke include inflammatory disorders, infection, pollution, and cardiac atrial disorders independent of atrial fibrillation. Single-gene disorders may cause rare, hereditary disorders for which stroke is a primary manifestation. Recent research also suggests that common and rare genetic polymorphisms can influence risk of more common causes of stroke, due to both other risk factors and specific stroke mechanisms, such as atrial fibrillation. Genetic factors, particularly those with environmental interactions, may be more modifiable than previously recognized. Stroke prevention has generally focused on modifiable risk factors. Lifestyle and behavioral modification, such as dietary changes or smoking cessation, not only reduces stroke risk, but also reduces the risk of other cardiovascular diseases. Other prevention strategies include identifying and treating medical conditions, such as hypertension and diabetes, that increase stroke risk. Recent research into risk factors and genetics of stroke has not only identified those at risk for stroke but also identified ways to target at-risk populations for stroke prevention.

A Coaching by Telephone Intervention for Veterans and Care Team Engagement (ACTIVATE): A study protocol for a Hybrid Type I effectiveness-implementation randomized controlled trial

INTRODUCTION

A large proportion of deaths and many illnesses can be attributed to three modifiable risk factors: tobacco use, overweight/obesity, and physical inactivity. Health risk assessments (HRAs) are widely available online but have not been consistently used in healthcare systems to activate patients to participate in prevention programs aimed at improving lifestyle behaviors.

OBJECTIVES

The goal of this study is to test whether adding telephone-based coaching to use of a comprehensive HRA increases at-risk patients' activation and enrollment into a prevention program compared to HRA use alone.

METHODS

Participants were randomized to either complete an HRA alone or in conjunction with a telephone coaching intervention. To be eligible Veterans had to have at least one modifiable risk factor (current smoker, overweight/obese, or physically inactive). The primary outcome is enrollment and participation in a prevention program by 6months. Secondary outcomes include change in a Patient Activation Measure and Framingham Risk Score.

DISCUSSION

This study is the first to test a web-based health risk assessment coupled with a health coaching intervention within a large healthcare system. Results from this study will help the Veterans Health Administration (VHA) implement its national plan to include comprehensive health risk assessments as a tool to engage Veterans in prevention. The results will also inform health systems outside VHA who seek to implement Medicare's advisement that health risk assessment become a mandatory component of care under the Affordable Care Act.

Prevention of stroke: a strategic global imperative

The increasing global stroke burden strongly suggests that currently implemented primary stroke prevention strategies are not sufficiently effective, and new primary prevention strategies with larger effect sizes are needed. Here, we review the latest stroke epidemiology literature, with an emphasis on the recently published Global Burden of Disease 2013 Study estimates; highlight the problems with current primary stroke and cardiovascular disease (CVD) prevention strategies; and outline new developments in primary stroke and CVD prevention. We also suggest key priorities for the future, including comprehensive prevention strategies that target people at all levels of CVD risk; implementation of an integrated approach to promote healthy behaviours and reduce health disparities; capitalizing on information technology to advance prevention approaches and techniques; and incorporation of culturally appropriate education about healthy lifestyles into standard education curricula early in life. Given the already immense and fast-increasing burden of stroke and other major noncommunicable diseases (NCDs), which threatens worldwide sustainability, governments of all countries should develop and implement an emergency action plan addressing the primary prevention of NCDs, possibly including taxation strategies to tackle unhealthy behaviours that increase the risk of stroke and other NCDs.

Psychosocial interventions for smoking cessation in patients with coronary heart disease

BACKGROUND

This is an update of a Cochrane review previously published in 2008. Smoking increases the risk of developing atherosclerosis but also acute thrombotic events. Quitting smoking is potentially the most effective secondary prevention measure and improves prognosis after a cardiac event, but more than half of the patients continue to smoke, and improved cessation aids are urgently required.

OBJECTIVES

This review aimed to examine the efficacy of psychosocial interventions for smoking cessation in patients with coronary heart disease in short-term (6 to 12 month follow-up) and long-term (more than 12 months). Moderators of treatment effects (i.e. intervention types, treatment dose, methodological criteria) were used for stratification.

SEARCH METHODS

The Cochrane Central Register of Controlled Trials (Issue 12, 2012), MEDLINE, EMBASE, PsycINFO and PSYNDEX were searched from the start of the database to January 2013. This is an update of the initial search in 2003. Results were supplemented by cross-checking references, and handsearches in selected journals and systematic reviews. No language restrictions were applied.

SELECTION CRITERIA

Randomised controlled trials (RCTs) in patients with CHD with a minimum follow-up of 6 months.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed trial eligibility and risk of bias. Abstinence rates were computed according to an intention to treat analysis if possible, or if not according to completer analysis results only. Subgroups of specific intervention strategies were analysed separately. The impact of study quality on efficacy was studied in a moderator analysis. Risk ratios (RR) were pooled using the Mantel-Haenszel and random-effects model with 95% confidence intervals (CI).

MAIN RESULTS

We found 40 RCTs meeting inclusion criteria in total (21 trials were new in this update, 5 new trials contributed to long-term results (more than 12 months)). Interventions consist of behavioural therapeutic approaches, telephone support and self-help material and were either focused on smoking cessation alone or addressed several risk factors (eg. obesity, inactivity and smoking). The trials mostly included older male patients with CHD, predominantly myocardial infarction (MI). After an initial selection of studies three trials with implausible large effects of RR > 5 which contributed to substantial heterogeneity were excluded. Overall there was a positive effect of interventions on abstinence after 6 to 12 months (risk ratio (RR) 1.22, 95% confidence interval (CI) 1.13 to 1.32, I² 54%; abstinence rate treatment group = 46%, abstinence rate control group 37.4%), but heterogeneity between trials was substantial. Studies with validated assessment of smoking status at follow-up had similar efficacy (RR 1.22, 95% CI 1.07 to 1.39) to non-validated trials (RR 1.23, 95% CI 1.12 to 1.35). Studies were stratified by intervention strategy and intensity of the intervention. Clustering reduced heterogeneity, although many trials used more than one type of intervention. The RRs for different strategies were similar (behavioural therapies RR 1.23, 95% CI 1.12 to 1.34, I² 40%; telephone support RR 1.21, 95% CI 1.12 to 1.30, I² 44%; self-help RR 1.22, 95% CI 1.12 to 1.33, I² 40%). More intense interventions (any initial contact plus follow-up over one month) showed increased quit rates (RR 1.28, 95% CI 1.17 to 1.40, I² 58%) whereas brief interventions (either one single initial contact lasting less than an hour with no follow-up, one or more contacts in total over an hour with no follow-up or any initial contact plus follow-up of less than one months) did not appear effective (RR 1.01, 95% CI 0.91 to 1.12, I² 0%). Seven trials had long-term follow-up (over 12 months), and did not show any benefits. Adverse side effects were not reported in any trial. These findings are based on studies with rather low risk of selection bias but high risk of detection bias (namely unblinded or non validated assessment of smoking status).

AUTHORS' CONCLUSIONS

Psychosocial smoking cessation interventions are effective in promoting abstinence up to 1 year, provided they are of sufficient duration. After one year, the studies showed favourable effects of smoking cessation intervention, but more studies including cost-effectiveness analyses are needed. Further studies should also analyse the additional benefit of a psychosocial intervention strategy to pharmacological therapy (e.g. nicotine replacement therapy) compared with pharmacological treatment alone and investigate economic outcomes.

Medication non-adherence after myocardial infarction: an exploration of modifying factors

BACKGROUND

Medication non-adherence is a major impediment to the management of cardiovascular disease risk factors. A better understanding of the modifying factors underlying medication non-adherence among individuals with known cardiovascular disease may inform approaches for addressing non-adherence.

OBJECTIVE

The purpose of this study was to identify demographic and patient characteristics, medical comorbidities, psychosocial factors, and health belief-related factors associated with medication non-adherence among patients with known cardiovascular disease.

DESIGN

We performed secondary analysis of baseline data from a randomized trial.

PATIENTS

The study included 405 patients with a diagnosis of hypertension and history of acute myocardial infarction that was diagnosed within a three-year period prior to enrollment.

MAIN MEASURES

Baseline demographics and patient characteristics, medical comorbidities, psychosocial factors, health belief-related factors, and patient-reported medication non-adherence were analyzed.

KEY RESULTS

Of 405 patients, 173 (42.7 %) reported medication non-adherence. Factors associated with non-adherence in bivariate analysis included younger age, non-white race, having less than 12 years of education, smoking, financial insecurity, identifying as nervous or tense, higher life chaos score, greater worry about having a myocardial infarction, and greater worry about having a stroke. Using multivariable modeling, we determined that age (OR 0.97 per additional year, 95 % CI, 0.95-0.99), life chaos (OR 1.06 per additional point, 95 % CI, 1.00-1.11), and worry about stroke (OR 1.12 per additional point, 95 % CI, 1.01-1.25) remained significantly associated with self-reported medication non-adherence.

CONCLUSIONS

We found that worry about having a stroke, higher life chaos, and younger age were all significantly associated with self-reported medication non-adherence in patients with cardiovascular disease and a history of myocardial infarction. Further research exploring these factors as targets for intervention is needed, as is additional research examining modifiable causes of medication non-adherence among patients with cardiovascular disease.

Guidelines for the primary prevention of stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association

The aim of this updated statement is to provide comprehensive and timely evidence-based recommendations on the prevention of stroke among individuals who have not previously experienced a stroke or transient ischemic attack. Evidence-based recommendations are included for the control of risk factors, interventional approaches to atherosclerotic disease of the cervicocephalic circulation, and antithrombotic treatments for preventing thrombotic and thromboembolic stroke. Further recommendations are provided for genetic and pharmacogenetic testing and for the prevention of stroke in a variety of other specific circumstances, including sickle cell disease and patent foramen ovale.

Interventions for enhancing medication adherence

BACKGROUND

People who are prescribed self administered medications typically take only about half their prescribed doses. Efforts to assist patients with adherence to medications might improve the benefits of prescribed medications.

OBJECTIVES

The primary objective of this review is to assess the effects of interventions intended to enhance patient adherence to prescribed medications for medical conditions, on both medication adherence and clinical outcomes.

SEARCH METHODS

We updated searches of The Cochrane Library, including CENTRAL (via http://onlinelibrary.wiley.com/cochranelibrary/search/), MEDLINE, EMBASE, PsycINFO (all via Ovid), CINAHL (via EBSCO), and Sociological Abstracts (via ProQuest) on 11 January 2013 with no language restriction. We also reviewed bibliographies in articles on patient adherence, and contacted authors of relevant original and review articles.

SELECTION CRITERIA

We included unconfounded RCTs of interventions to improve adherence with prescribed medications, measuring both medication adherence and clinical outcome, with at least 80% follow-up of each group studied and, for long-term treatments, at least six months follow-up for studies with positive findings at earlier time points.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted all data and a third author resolved disagreements. The studies differed widely according to medical condition, patient population, intervention, measures of adherence, and clinical outcomes. Pooling results according to one of these characteristics still leaves highly heterogeneous groups, and we could not justify meta-analysis. Instead, we conducted a qualitative analysis with a focus on the RCTs with the lowest risk of bias for study design and the primary clinical outcome.

MAIN RESULTS

The present update included 109 new RCTs published since the previous update in January 2007, bringing the total number of RCTs to 182; we found five RCTs from the previous update to be ineligible and excluded them. Studies were heterogeneous for patients, medical problems, treatment regimens, adherence interventions, and adherence and clinical outcome measurements, and most had high risk of bias. The main changes in comparison with the previous update include that we now: 1) report a lack of convincing evidence also specifically among the studies with the lowest risk of bias; 2) do not try to classify studies according to intervention type any more, due to the large heterogeneity; 3) make our database available for collaboration on sub-analyses, in acknowledgement of the need to make collective advancement in this difficult field of research. Of all 182 RCTs, 17 had the lowest risk of bias for study design features and their primary clinical outcome, 11 from the present update and six from the previous update. The RCTs at lowest risk of bias generally involved complex interventions with multiple components, trying to overcome barriers to adherence by means of tailored ongoing support from allied health professionals such as pharmacists, who often delivered intense education, counseling (including motivational interviewing or cognitive behavioral therapy by professionals) or daily treatment support (or both), and sometimes additional support from family or peers. Only five of these RCTs reported improvements in both adherence and clinical outcomes, and no common intervention characteristics were apparent. Even the most effective interventions did not lead to large improvements in adherence or clinical outcomes.

AUTHORS' CONCLUSIONS

Across the body of evidence, effects were inconsistent from study to study, and only a minority of lowest risk of bias RCTs improved both adherence and clinical outcomes. Current methods of improving medication adherence for chronic health problems are mostly complex and not very effective, so that the full benefits of treatment cannot be realized. The research in this field needs advances, including improved design of feasible long-term interventions, objective adherence measures, and sufficient study power to detect improvements in patient-important clinical outcomes. By making our comprehensive database available for sharing we hope to contribute to achieving these advances.

A new paradigm for primary prevention strategy in people with elevated risk of stroke

Existing methods of primary stroke prevention are not sufficiently effective. Based on the recently developed Stroke Riskometer app, a new 'mass-elevated risk stroke/cardiovascular disease prevention' approach as an addition to the currently adopted absolute risk stroke/cardiovascular disease prevention approach is being advocated. We believe this approach is far more appealing to the individuals concerned and could be as efficient as the conventional population-based approach because it allows identification and engagement in prevention of all individuals who are at an increased (even slightly increased) risk of stroke and cardiovascular disease. The key novelty of this approach is twofold. First, it utilizes modern far-reaching mobile technologies, allowing individuals to calculate their absolute risk of stroke within the next 5 to 10 years and to compare their risk with those of the same age and gender without risk factors. Second, it employs self-management strategies to engage the person concerned in stroke/cardiovascular disease prevention, which is tailored to the person's individual risk profile. Preventative strategies similar to the Stroke Riskometer could be developed for other non-communicable disorders for which reliable predictive models and preventative recommendations exist. This would help reduce the burden of non-communicable disorders worldwide.

Interventions for improving modifiable risk factor control in the secondary prevention of stroke

BACKGROUND

People with stroke or transient ischaemic attack (TIA) are at increased risk of future stroke and other cardiovascular events. Evidence-based strategies for secondary stroke prevention have been established. However, the implementation of prevention strategies could be improved.

OBJECTIVES

To assess the effects of stroke service interventions for implementing secondary stroke prevention strategies on modifiable risk factor control, including patient adherence to prescribed medications, and the occurrence of secondary cardiovascular events.

SEARCH METHODS

We searched the Cochrane Stroke Group Trials Register (April 2013), the Cochrane Effective Practice and Organisation of Care Group Trials Register (April 2013), CENTRAL (The Cochrane Library 2013, issue 3), MEDLINE (1950 to April 2013), EMBASE (1981 to April 2013) and 10 additional databases. We located further studies by searching reference lists of articles and contacting authors of included studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) that evaluated the effects of organisational or educational and behavioural interventions (compared with usual care) on modifiable risk factor control for secondary stroke prevention.

DATA COLLECTION AND ANALYSIS

Two review authors selected studies for inclusion and independently extracted data. One review author assessed the risk of bias for the included studies. We sought missing data from trialists.

MAIN RESULTS

This review included 26 studies involving 8021 participants. Overall the studies were of reasonable quality, but one study was considered at high risk of bias. Fifteen studies evaluated predominantly organisational interventions and 11 studies evaluated educational and behavioural interventions for patients. Results were pooled where appropriate, although some clinical and methodological heterogeneity was present. The estimated effects of organisational interventions were compatible with improvements and no differences in the modifiable risk factors mean systolic blood pressure (mean difference (MD) -2.57 mmHg; 95% confidence interval (CI) -5.46 to 0.31), mean diastolic blood pressure (MD -0.90 mmHg; 95% CI -2.49 to 0.68), blood pressure target achievement (OR 1.24; 95% CI 0.94 to 1.64) and mean body mass index (MD -0.68 kg/m(2); 95% CI -1.46 to 0.11). There were no significant effects of organisational interventions on lipid profile, HbA1c, medication adherence or recurrent cardiovascular events. Educational and behavioural interventions were not generally associated with clear differences in any of the review outcomes, with only two exceptions.

AUTHORS' CONCLUSIONS

Pooled results indicated that educational interventions were not associated with clear differences in any of the review outcomes. The estimated effects of organisational interventions were compatible with improvements and no differences in several modifiable risk factors. We identified a large number of ongoing studies, suggesting that research in this area is increasing. The use of standardised outcome measures would facilitate the synthesis of future research findings.

Adherence to medication and self-management in stroke patients

BACKGROUND

Stroke is the third most common cause of mortality and one of the leading causes of adult physical disability in England. Medical treatment is imperative for the management of stroke and the risk reduction of recurrent stroke. The success of a medical treatment is determined largely by adherence. However, research has shown that adherence to medication in patients who have had a stroke is often suboptimal. Self-management interventions have been shown to improve adherence in long-term conditions. The impact of self-management interventions specifically on adherence to stroke medication is unknown.

OBJECTIVE

To review systematically the impact that self-management interventions have on adherence to stroke medication.

METHOD

The online databases that were systematically searched included PsychINFO, MEDLINE, EMBASE, Scopus, Cochrane Database of Systematic Reviews, CINAHL and Web of Science. Reference lists of retrieved studies were hand-searched.

RESULTS

Six studies met the criteria for inclusion in the systematic review. Self-management interventions for stroke patients were effective in improving adherence to stroke medication in the short term. However, in the longer term, these benefits were not maintained.

CONCLUSIONS

Applying self-management interventions to improve medication adherence in stroke patients across integrated clinical settings shows promise. However, further development of such interventions and research is recommended, with more stringent methodologies and longer follow-up periods.

Decision aids for people facing health treatment or screening decisions

BACKGROUND

Decision aids are intended to help people participate in decisions that involve weighing the benefits and harms of treatment options often with scientific uncertainty.

OBJECTIVES

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

SEARCH METHODS

For this update, we searched from 2009 to June 2012 in MEDLINE; CENTRAL; EMBASE; PsycINFO; and grey literature. Cumulatively, we have searched each database since its start date including CINAHL (to September 2008).

SELECTION CRITERIA

We included published randomized controlled trials of decision aids, which are interventions designed to support patients' decision making by making explicit the decision, providing information about treatment or screening options and their associated outcomes, compared to usual care and/or alternative interventions. We excluded studies of participants making hypothetical decisions.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. The primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were:A) 'choice made' attributes;B) 'decision-making process' attributes.Secondary outcomes were behavioral, health, and health-system effects. We pooled results using mean differences (MD) and relative risks (RR), applying a random-effects model.

MAIN RESULTS

This update includes 33 new studies for a total of 115 studies involving 34,444 participants. For risk of bias, selective outcome reporting and blinding of participants and personnel were mostly rated as unclear due to inadequate reporting. Based on 7 items, 8 of 115 studies had high risk of bias for 1 or 2 items each.Of 115 included studies, 88 (76.5%) used at least one of the IPDAS effectiveness criteria: A) 'choice made' attributes criteria: knowledge scores (76 studies); accurate risk perceptions (25 studies); and informed value-based choice (20 studies); and B) 'decision-making process' attributes criteria: feeling informed (34 studies) and feeling clear about values (29 studies).A) Criteria involving 'choice made' attributes:Compared to usual care, decision aids increased knowledge (MD 13.34 out of 100; 95% confidence interval (CI) 11.17 to 15.51; n = 42). When more detailed decision aids were compared to simple decision aids, the relative improvement in knowledge was significant (MD 5.52 out of 100; 95% CI 3.90 to 7.15; n = 19). Exposure to a decision aid with expressed probabilities resulted in a higher proportion of people with accurate risk perceptions (RR 1.82; 95% CI 1.52 to 2.16; n = 19). Exposure to a decision aid with explicit values clarification resulted in a higher proportion of patients choosing an option congruent with their values (RR 1.51; 95% CI 1.17 to 1.96; n = 13).B) Criteria involving 'decision-making process' attributes:Decision aids compared to usual care interventions resulted in:a) lower decisional conflict related to feeling uninformed (MD -7.26 of 100; 95% CI -9.73 to -4.78; n = 22) and feeling unclear about personal values (MD -6.09; 95% CI -8.50 to -3.67; n = 18);b) reduced proportions of people who were passive in decision making (RR 0.66; 95% CI 0.53 to 0.81; n = 14); andc) reduced proportions of people who remained undecided post-intervention (RR 0.59; 95% CI 0.47 to 0.72; n = 18).Decision aids appeared to have a positive effect on patient-practitioner communication in all nine studies that measured this outcome. For satisfaction with the decision (n = 20), decision-making process (n = 17), and/or preparation for decision making (n = 3), those exposed to a decision aid were either more satisfied, or there was no difference between the decision aid versus comparison interventions. No studies evaluated decision-making process attributes for helping patients to recognize that a decision needs to be made, or understanding that values affect the choice.C) Secondary outcomes Exposure to decision aids compared to usual care reduced the number of people of choosing major elective invasive surgery in favour of more conservative options (RR 0.79; 95% CI 0.68 to 0.93; n = 15). Exposure to decision aids compared to usual care reduced the number of people choosing to have prostate-specific antigen screening (RR 0.87; 95% CI 0.77 to 0.98; n = 9). When detailed compared to simple decision aids were used, fewer people chose menopausal hormone therapy (RR 0.73; 95% CI 0.55 to 0.98; n = 3). For other decisions, the effect on choices was variable.The effect of decision aids on length of consultation varied from 8 minutes shorter to 23 minutes longer (median 2.55 minutes longer) with 2 studies indicating statistically-significantly longer, 1 study shorter, and 6 studies reporting no difference in consultation length. Groups of patients receiving decision aids do not appear to differ from comparison groups in terms of anxiety (n = 30), general health outcomes (n = 11), and condition-specific health outcomes (n = 11). The effects of decision aids on other outcomes (adherence to the decision, costs/resource use) were inconclusive.

AUTHORS' CONCLUSIONS

There is high-quality evidence that decision aids compared to usual care improve people's knowledge regarding options, and reduce their decisional conflict related to feeling uninformed and unclear about their personal values. There is moderate-quality evidence that decision aids compared to usual care stimulate people to take a more active role in decision making, and improve accurate risk perceptions when probabilities are included in decision aids, compared to not being included. There is low-quality evidence that decision aids improve congruence between the chosen option and the patient's values.New for this updated review is further evidence indicating more informed, values-based choices, and improved patient-practitioner communication. There is a variable effect of decision aids on length of consultation. Consistent with findings from the previous review, decision aids have a variable effect on choices. They reduce the number of people choosing discretionary surgery and have no apparent adverse effects on health outcomes or satisfaction. The effects on adherence with the chosen option, cost-effectiveness, use with lower literacy populations, and level of detail needed in decision aids need further evaluation. Little is known about the degree of detail that decision aids need in order to have a positive effect on attributes of the choice made, or the decision-making process.

Understanding patients' adherence-related beliefs about medicines prescribed for long-term conditions: a meta-analytic review of the Necessity-Concerns Framework

BACKGROUND

Patients' beliefs about treatment influence treatment engagement and adherence. The Necessity-Concerns Framework postulates that adherence is influenced by implicit judgements of personal need for the treatment (necessity beliefs) and concerns about the potential adverse consequences of taking it.

OBJECTIVE

To assess the utility of the NCF in explaining nonadherence to prescribed medicines.

DATA SOURCES

We searched EMBASE, Medline, PsycInfo, CDSR/DARE/CCT and CINAHL from January 1999 to April 2013 and handsearched reference sections from relevant articles.

STUDY ELIGIBILITY CRITERIA

Studies using the Beliefs about Medicines Questionnaire (BMQ) to examine perceptions of personal necessity for medication and concerns about potential adverse effects, in relation to a measure of adherence to medication.

PARTICIPANTS

Patients with long-term conditions.

STUDY APPRAISAL AND SYNTHESIS METHODS

Systematic review and meta-analysis of methodological quality was assessed by two independent reviewers. We pooled odds ratios for adherence using random effects models.

RESULTS

We identified 3777 studies, of which 94 (N = 25,072) fulfilled the inclusion criteria. Across studies, higher adherence was associated with stronger perceptions of necessity of treatment, OR = 1.742, 95% CI [1.569, 1.934], p<0.0001, and fewer Concerns about treatment, OR = 0.504, 95% CI: [0.450, 0.564], p<0.0001. These relationships remained significant when data were stratified by study size, the country in which the research was conducted and the type of adherence measure used.

LIMITATIONS

Few prospective longitudinal studies using objective adherence measures were identified.

CONCLUSIONS

The Necessity-Concerns Framework is a useful conceptual model for understanding patients' perspectives on prescribed medicines. Taking account of patients' necessity beliefs and concerns could enhance the quality of prescribing by helping clinicians to engage patients in treatment decisions and support optimal adherence to appropriate prescriptions.

Perceptions of coronary heart disease: the development and psychometric testing of a measurement scale

Individuals' perceptions of coronary heart disease (CHD) have implications for the ways in which they respond to the disease, process risks, make decisions, and take action to reduce CHD risks. This study aimed to develop and evaluate the psychometric properties of the perceptions of coronary heart disease scale (PCS) among a Hong Kong Chinese population. A cross-sectional study was conducted using a convenient sample (n = 232) of participants recruited from a variety of catchments including public domains, a cardiac unit, and a cardiac rehabilitation and prevention center. Exploratory factor analysis identified a nine-item, two-factor model that accounted for 52.5% of the total explained variance. The two factors were the perceived risk (five items) and perceived seriousness (four items) of CHD. The PCS demonstrated good content validity; acceptable total, and subscale internal consistency (.73, .61 - .81); and significant contrast-group differences with higher levels of CHD perceptions among males (p = .002), younger participants (p < .001), and those with higher educational levels (p < .001), suggesting excellent construct validity. The newly developed PCS demonstrates acceptable psychometric properties as a short measurement scale, which supports its use in future research. Future validation of this scale is warranted.

"Missing pieces": exploring cardiac risk perceptions in older women

Approximately 95% of older women have factors that put them at risk for developing cardiovascular disease, but research indicates many do not perceive themselves to be at risk. We examined older women's perceived risk for coronary heart disease (CHD) and the factors influencing their perceptions. We conducted a descriptive, qualitative study using in-depth, individual interviews and quantitative measures to assess perceived risk and risk factors. Twenty-four older African American and Caucasian women had a mean 4.46 cardiac risk factors but perceived their own CHD risk as unrealistically low at 1.95 cm (SD = 1.57, on 0-to-8 cm visual analogue scale). Narrative data clustered in themes that represented a lack of fact-based information and multiple misconceptions about CHD and prevention. Major improvements in CHD health are only achievable if risk factors are prevented. This research suggests older women have substantial needs for consistent CHD information and prevention guidance.

Biomedical risk assessment as an aid for smoking cessation

BACKGROUND

A possible strategy for increasing smoking cessation rates could be to provide smokers who have contact with healthcare systems with feedback on the biomedical or potential future effects of smoking, e.g. measurement of exhaled carbon monoxide (CO), lung function, or genetic susceptibility to lung cancer.

OBJECTIVES

To determine the efficacy of biomedical risk assessment provided in addition to various levels of counselling, as a contributing aid to smoking cessation.

SEARCH METHODS

For the most recent update, we searched the Cochrane Collaboration Tobacco Addiction Group Specialized Register in July 2012 for studies added since the last update in 2009.

SELECTION CRITERIA

Inclusion criteria were: a randomized controlled trial design; subjects participating in smoking cessation interventions; interventions based on a biomedical test to increase motivation to quit; control groups receiving all other components of intervention; an outcome of smoking cessation rate at least six months after the start of the intervention.

DATA COLLECTION AND ANALYSIS

Two assessors independently conducted data extraction on each paper, with disagreements resolved by consensus. Results were expressed as a relative risk (RR) for smoking cessation with 95% confidence intervals (CI). Where appropriate, a pooled effect was estimated using a Mantel-Haenszel fixed-effect method.

MAIN RESULTS

We included 15 trials using a variety of biomedical tests. Two pairs of trials had sufficiently similar recruitment, setting and interventions to calculate a pooled effect; there was no evidence that carbon monoxide (CO) measurement in primary care (RR 1.06, 95% CI 0.85 to 1.32) or spirometry in primary care (RR 1.18, 95% CI 0.77 to 1.81) increased cessation rates. We did not pool the other 11 trials due to the presence of substantial clinical heterogeneity. Of the remaining 11 trials, two trials detected statistically significant benefits: one trial in primary care detected a significant benefit of lung age feedback after spirometry (RR 2.12, 95% CI 1.24 to 3.62) and one trial that used ultrasonography of carotid and femoral arteries and photographs of plaques detected a benefit (RR 2.77, 95% CI 1.04 to 7.41) but enrolled a population of light smokers and was judged to be at unclear risk of bias in two domains. Nine further trials did not detect significant effects. One of these tested CO feedback alone and CO combined with genetic susceptibility as two different interventions; none of the three possible comparisons detected significant effects. One trial used CO measurement, one used ultrasonography of carotid arteries and two tested for genetic markers. The four remaining trials used a combination of CO and spirometry feedback in different settings.

AUTHORS' CONCLUSIONS

There is little evidence about the effects of most types of biomedical tests for risk assessment on smoking cessation. Of the fifteen included studies, only two detected a significant effect of the intervention. Spirometry combined with an interpretation of the results in terms of 'lung age' had a significant effect in a single good quality trial but the evidence is not optimal. A trial of carotid plaque screening using ultrasound also detected a significant effect, but a second larger study of a similar feedback mechanism did not detect evidence of an effect. Only two pairs of studies were similar enough in terms of recruitment, setting, and intervention to allow meta-analyses; neither of these found evidence of an effect. Mixed quality evidence does not support the hypothesis that other types of biomedical risk assessment increase smoking cessation in comparison to standard treatment. There is insufficient evidence with which to evaluate the hypothesis that multiple types of assessment are more effective than single forms of assessment.