Patient-reported outcome measures for knowledge transfer and behaviour modification interventions in type 2 diabetes-the INDICA study: a multiarm cluster randomised controlled trial

Technology-supported shared decision-making in chronic conditions: A systematic review of randomized controlled trials

OBJECTIVES

To describe the role of patients with a chronic disease, healthcare professionals (HCPs) and technology in shared decision making (SDM) and the use of clinical decision support systems (CDSSs), and to evaluate the effectiveness of SDM and CDSSs interventions.

METHODS

Randomized controlled studies published between 2011 and 2021 were identified and screened independently by two reviewers, followed by data extraction and analysis. SDM elements and interactive styles were identified to shape the roles of patients, HCPs and technology.

RESULTS

Forty-three articles were identified and reported on 21 SDM-studies, 15 CDSS-studies, 2 studies containing both an SDM-tool and a CDSS, and 5 studies with other decision support components. SDM elements were mostly identified in SDM-tools and interactions styles were least common in the other decision support components.

CONCLUSIONS

Patients within the included RCTs mainly received information from SDM-tools and occasionally CDSSs when it concerns treatment strategies. HCPs provide and clarify information using SDM-tools and CDSSs. Technology provides interactions, which can support more active SDM. SDM-tools mostly showed evidence for positive effects on SDM outcomes, while CDSSs mostly demonstrated positive effects on clinical outcomes.

PRACTICE IMPLICATIONS

Technology-supported SDM has potential to optimize SDM when patients, HCPs and technology collaborate well together.

Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis

Background: e-Health refers to any health care service delivered through the internet or related technologies, to improve quality of life. Despite the increasing use of e-health interventions to manage type 2 diabetes (T2D), there is a lack of evidence about the effectiveness on diabetes distress and depression, which are common issues in those living with T2D. Purpose: To synthesize and determine the effects of e-health interventions on diabetes distress and depression among patients with T2D. Methods: We systematically searched PubMed, Scopus, Cochrane CENTRAL, and Web of Science for randomized controlled trials (RCTs), non-RCTs and observational cohort studies for the effects of e-health interventions on diabetes distress and depression in patients with T2D up to September 14, 2022. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 recommendations were followed. The risk of bias was assessed according to the Risk-of-Bias 2 tool (RCTs), the Risk Of Bias In Non-randomised Studies-of Interventions (ROBINS-I) (non-RCTs) and the National Institute of Health tool (observational). The standardized mean difference (SMD) and its related 95% confidence intervals (CIs) were estimated with the DerSimonian-Laird method through random-effect models. A pooled raw mean difference (MD) meta-analysis was conducted for RCTs comparing the effects of e-health versus control on diabetes distress screening to display the clinical impact. Results: A total of 41 studies (24 RCTs, 14 non-RCTs, and 3 observational) involving 8,667 individuals were included. The pooled SMD for the effect of e-health versus the control group on diabetes distress was -0.14 (95% CI = -0.24 to -0.04; I2 = 23.9%; n = 10 studies), being -0.06 (95% CI = -0.15 to 0.02; I2 = 7.8%; n = 16 studies) for depression. The pooled raw MD on diabetes distress screening showed a reduction of -0.54 points (95% CI = -0.81 to -0.27; I2 = 85.1%; n = 7 studies). Conclusion: e-Health interventions are effective in diminishing diabetes distress among adults with T2D, inducing clinically meaningful reductions.

Shared Decision-Making in Cardiovascular Risk Factor Management: A Systematic Review and Meta-Analysis

Importance

The effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear.

Objective

To assess the extent to which SDM is used in interventions aimed to enhance the management of cardiovascular risk factors and to explore the association of SDM with decisional outcomes, cardiovascular risk factors, and health behaviors.

Data Sources

For this systematic review and meta-analysis, a literature search was conducted in the Medline, CINAHL, Embase, Cochrane, Web of Science, Scopus, and ClinicalTrials.gov databases for articles published from inception to June 24, 2022, without language restrictions.

Study Selection

Randomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included.

Data Extraction and Synthesis

The systematic search resulted in 9365 references. Duplicates were removed, and 2 independent reviewers screened the trials (title, abstract, and full text) and extracted data. Data were pooled using a random-effects model. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline.

Main Outcomes and Measures

Decisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes.

Results

This review included 57 RCTs with 88 578 patients and 1341 clinicians. A total of 59 articles were included, as 2 RCTs were reported twice. Nearly half of the studies (29 [49.2%]) tested interventions that targeted both patients and clinicians, and an equal number (29 [49.2%]) exclusively focused on patients. More than half (32 [54.2%]) focused on diabetes management, and one-quarter focused on multiple cardiovascular risk factors (14 [23.7%]). Most studies (35 [59.3%]) assessed cardiovascular risk factors and health behaviors as well as decisional outcomes. The quality of studies reviewed was low to fair. The SDM intervention was associated with a decrease of 4.21 points (95% CI, -8.21 to -0.21) in Decisional Conflict Scale scores (9 trials; I2 = 85.6%) and a decrease of 0.20% (95% CI, -0.39% to -0.01%) in hemoglobin A1c (HbA1c) levels (18 trials; I2 = 84.2%).

Conclusions and Relevance

In this systematic review and meta-analysis of the current state of research on SDM interventions for cardiovascular risk management, there was a slight reduction in decisional conflict and an improvement in HbA1c levels with substantial heterogeneity. High-quality studies are needed to inform the use of SDM to improve cardiovascular risk management.

Helping smokers with diabetes quit: A scoping review of the interventions utilised, and the challenges and barriers to smoking cessation

Tobacco smoking is recognised as a priority in diabetes management, yet many individuals with diabetes continue to smoke beyond diagnosis. This paper identifies the most promising smoking cessation strategies by reviewing the literature reporting interventions carried out amongst this study population, and the challenges and barriers to smoking cessation. Stand-alone smoking cessation interventions which included pharmacotherapy were found to be more successful in achieving abstinence than interventions which included smoking cessation as part of a broader intervention for improving diabetes management. Misconceptions about smoking and diabetes management were frequently reported, undervaluing smoking cessation. This emphasizes further the need to inform smokers with diabetes about the link between tobacco use and diabetes complications.

Mapping the EQ-5D-5L from the Spanish national health survey functional disability scale through Bayesian networks

PURPOSE

Preference-based measures are valuable tools for evaluating therapeutic interventions and for cost-effectiveness studies. Mapping procedures are useful when it is not possible to collect these kind of measures. The objective of this study was to evaluate which mapping method is the most appropriate to estimate the EQ-5D-5L index from the Spanish National Health Survey functional disability scale.

METHODS

The sample, formed by 5708 older adults (aged 65 years or older), was drawn from the Spanish National Health Survey ("Encuesta Nacional de Salud en España," ENSE in Spanish 2011-2012). The predictions of EQ-5D-5L index were performed with response mapping using Bayesian network (BN), ordered logit (Ologit), and multinomial logistic (ML). The following direct methods were used: ordinary least squares (OLS) and Tobit regression. The intraclass correlation coefficient (ICC), absolute error (MAE), mean squared error (MSE), and root-mean squared error (RMSE) were calculated to compare all models. The predictions of response models were obtained through the expected value method.

RESULTS

BN model showed the highest ICC (0.756, 95% confidence interval, CI 0.733-0.777) and lowest MAE (0.110, 95% CI 0.104-0.115). OLS was the model with worse accuracy results with lowest ICC (0.621, 95% CI 0.553-0.681) and highest MAE (0.159, 95%CI: 0.145-0.173).

CONCLUSION

Indirect mapping methods (BN, Ologit, and ML) had a better accuracy than the direct methods. The response mapping approach provides a robust method to estimate EQ-5D-5L scores from the functional disability scale.

Factors associated with patient empowerment in Spanish adults with type 2 diabetes: A cross-sectional analysis

OBJECTIVE

The aim of the present study is to identify factors associated with patient empowerment in people living with type 2 diabetes mellitus (T2DM) in the Canary Islands (Spain).

METHODS

Secondary cross-sectional analysis was carried out of data obtained in the INDICA study: A 24-month cluster randomized-controlled trial evaluating the effectiveness of educational interventions supported by new technology decision tools for T2DM patients. Sociodemographic variables, clinical data (years since diagnosis, glycated haemoglobin level, creatine, triglycerides, waist hip index, body mass index and number of comorbidities), diabetes knowledge (DIATEK), affective outcomes (Beck Depression Inventory-II, the State subscale of the State-Trait Anxiety Inventory and The Diabetes Distress Scale) and diabetes-related quality of life (The Audit of Diabetes-Dependent Quality of life) were assessed as potential correlates of patient empowerment, assessed using the Diabetes Empowerment Scale-Short Form. Multilevel mixed linear regression models on patient empowerment were developed.

RESULTS

The analysis included the baseline data of 2334 patients. Results showed that age (B = -0.14; p < .001), diabetes knowledge (B = 0.61; p < .001) and state-anxiety (B = -0.09; p < .001) are significantly associated with patient empowerment. Sex, education level, living alone, employment status, country of birth, time since diagnosis, number of comorbidities, glycated haemoglobin level, depression and distress were not independently associated with patient empowerment in the multivariate analyses.

CONCLUSION

Younger age, lower state-anxiety and greater diabetes-specific knowledge are important correlates of patient empowerment. In line with the results of the INDICA study, interventions based on patient-centred care might be effective in improving patient empowerment in adults with T2DM. Understanding the factors associated with empowerment may help clinicians and policymakers to identify high-risk groups, prioritize resources and target evidence-based interventions to better support people with T2DM to be actively involved in their own care.

PATIENT OR PUBLIC CONTRIBUTION

Patients with T2DM were actively involved in the design of the INDICA study. Two patient associations were included as part of the research team and actively participated in designing the interventions and selecting outcome measures.

Shared decision-making in Spain in 2022: An updated revision of the current situation

In Spain, there is not a national strategy to promote shared decision making (SDM) in clinical practice, and it is still not a requisite for improving the quality of health services, in either the legal norms or professionals' educational curricula. However, several national strategies in specific health areas increasingly include the principles of person centred care (PCC) and SDM into their objectives, promoting patients' empowerment and activation. Furthermore, several institutions continue to develop Patient Decision Aids (PtDAs) and other resources to facilitate patients' involvement in their own care; training programs for professionals; links between PtDAs and clinical practice guidelines; as well as interventional studies assessing the impact of PCC and SDM interventions in clinical practice. Initiatives to involve patients in health research design and health technology assessment are also being developed. We describe an update of the current state of research, policy and implementation of SDM after five years of substantial advances in Spain. Many challenges remain regarding national and regional policies on PCC and SDM, implementation of SDM in real practice and educational curricula, development of quality indicators and evaluation procedures.

Increased Patient Empowerment Is Associated with Improvement in Anxiety and Depression Symptoms in Type 2 Diabetes Mellitus: Findings from the INDICA Study

Introduction. In cross-sectional analyses, higher levels of patient empowerment have been related to lower symptoms of anxiety and depression. The aims of this study are: (1) to assess if patient empowerment predicts anxiety and depression symptoms after 12 and 24 months among patients with type 2 diabetes mellitus, and (2) to analyze whether a change in patient empowerment is associated with a change in anxiety and depression level. Methods. This is a secondary analysis of the INDICA study, a 24 month-long, multi-arm randomized controlled trial. Patient empowerment (DES-SF), depression (BDI-II), and state-anxiety (STAI-S) were assessed at the baseline (pre-intervention) and after 12 and 24 months. Multilevel mixed linear models with a random intercept were performed to correct for our clustered data. Results. The multilevel regression models showed that the baseline empowerment did not significantly predict anxiety and depression after 12 and 24 months. However, a higher increase in patient empowerment was significantly associated with reductions of anxiety (p < 0.001) and depression levels (p < 0.001). This association was not significantly different between the two follow-ups. Conclusion. This study contributes to the knowledge on how to reduce affective symptoms in patients with uncomplicated T2DM through comprehensive patient-centered interventions, and it highlights patient empowerment as a significant contributor.

Cost-effectiveness of multicomponent interventions in type 2 diabetes mellitus in a cluster randomised controlled trial: the INDICA study

OBJECTIVE

To analyse the cost-effectiveness of multicomponent interventions designed to improve outcomes in type 2 diabetes mellitus (T2DM) in primary care in the Canary Islands, Spain, within the INDICA randomised clinical trial, from the public health system perspective.

DESIGN

An economic evaluation was conducted for the within-trial period (2 years) comparing the four arms of the INDICA study.

SETTING

Primary care in the Canary Islands, Spain.

PARTICIPANTS

2334 patients with T2DM without complications were included.

INTERVENTIONS

Interventions for patients (PTI), for primary care professionals (PFI), for both (combined intervention arm for patients and professionals, CBI) and usual care (UC) as a control group.

OUTCOMES

The main outcome was the incremental cost per quality-adjusted life-years (QALY). Only the intervention and the healthcare costs were included.

ANALYSIS

Multilevel models were used to estimate results, and to measure the size and significance of incremental changes. Missed values were treated by means of multiple imputations procedure.

RESULTS

There were no differences between arms in terms of costs (p=0.093), while some differences were observed in terms of QALYs after 2 years of follow-up (p=0.028). PFI and CBI arms were dominated by the other two arms, PTI and UC. The differences between the PTI and the UC arms were very small in terms of QALYs, but significant in terms of healthcare costs (p=0.045). The total cost of the PTI arm (€2571, 95% CI €2317 to €2826) was lower than the cost in the UC arm (€2750, 95% CI €2506 to €2995), but this difference did not reach statistical significance. Base case estimates of the incremental cost per QALY indicate that the PTI strategy was the cost-effective option.

CONCLUSIONS

The INDICA intervention designed for patients with T2DM and families is likely to be cost-effective from the public healthcare perspective. A cost-effectiveness model should explore this in the long term.

TRIAL REGISTRATION NUMBER

NCT01657227.