A Web-Based Mental Health Intervention to Improve Social and Occupational Functioning in Adults With Type 2 Diabetes (The Springboard Trial): 12-Month Outcomes of a Randomized Controlled Trial

Relationship between stigma and negative emotions among patients with Parkinson's disease: The mediating role of health literacy and family function

BACKGROUND

Parkinson's disease is a neurodegenerative disorder causing physical and psychological challenges. Stigma exacerbates negative emotions, resulting in anxiety and depression, as well as undermining self-perception and social participation. Health literacy aids in disease management, and family function plays a crucial supportive role. However, the interplay between these variables remains underexplored.

OBJECTIVE

To examine the chain mediating effects of health literacy and family function between stigma and negative emotions in patients with Parkinson's disease.

METHODS

This study adopted a cross-sectional design, recruiting eligible patients from a tertiary hospital in Guangzhou, China. A total of 245 participants completed questionnaires on stigma, health literacy, family function and negative emotions. Statistical analyses were performed using Spearman's correlation and mediation effect analysis.

RESULTS

Negative emotions were positively correlated with stigma (β = 0.584) and inversely associated with health literacy (β = -0.258) and family function (β = -0.144). Mediation effect analysis showed that the mediating effects of health literacy, family function, and their combined effects on the relationship between stigma and negative emotions were 0.033, 0.020, and 0.008, respectively, accounting for 8.89%, 5.39%, and 2.16% of the total effect.

CONCLUSIONS

Stigma in patients with Parkinson's disease not only directly affects negative emotions but also indirectly influences them through health literacy and family function.

Methodological approaches and author-reported limitations in evaluation studies of digital health technologies (DHT): A scoping review of DHT interventions for cancer, diabetes mellitus, and cardiovascular diseases

Digital health technology (DHT) holds the potential to improve health services, and its adoption has proliferated in recent decades owing to technological advancement. Optimal evaluation methodologies appropriate for generating quality evidence on DHT have yet to be established; traditional comparative designs present several limitations. This study aimed to scope the literature to highlight common methodological approaches used and their limitations to inform considerations for designing robust DHT evaluation studies. A scoping review was conducted following the Joanna Briggs Institute (JBI) scoping review guidelines. A systematic search was conducted using the CINAHL (EBSCO), MEDLINE (EBSCOhost), PsycINFO (EBSCO), EMBASE (Elsevier) and Web of Science (Clarivate Analytics) databases using iteratively developed search terms. We selected studies published in English between January 2016 and March 2022 and focussed on primary research evaluating the effectiveness of DHT with technology-user interactive or asynchronous features for adults (≥18 years) with cancer, diabetes or cardiovascular conditions. The final number of articles, after the screening and selection process, comprised 140 records. Data were analysed descriptively (frequency and percentages) and summarised thematically. Results showed most studies (n = 104, 74.3%) employed the standard two-arm parallel RCT design, with usual/standard care as the preferred comparator in nearly half (n = 65, 47.1%) of all included studies. Of the 104 comparative studies reviewed, limitations in recruitment were most frequently reported (n = 70, 37%), followed by limitations in evaluation/measurement techniques (n = 57, 27%), presence of confounding factors (n = 50, 24%) and short duration of studies (n = 24, 11%). The review highlights the need to consider inclusive approaches to recruitment and adoption of the emerging methodological approaches that account for the fast-paced, multi-component and group contamination problem resulting from the unconcealable nature of DHT interventions.

Efficacy of a Blended Low-Intensity Internet-Delivered Psychological Program in Patients With Multimorbidity in Primary Care: Randomized Controlled Trial

BACKGROUND

Multimorbidity is a highly prevalent phenomenon whose presence causes a profound physical, psychological, and economic impact. It hinders help seeking, diagnosis, quality of care, and adherence to treatment, and it poses a significant dilemma for present-day health care systems.

OBJECTIVE

This study aimed to assess the effectiveness of improved treatment as usual (iTAU) combined with a blended low-intensity psychological intervention delivered using information and communication technologies for the treatment of multimorbidity (depression and type 2 diabetes or low back pain) in primary care settings.

METHODS

A 2-armed, parallel-group, superiority randomized controlled trial was designed for this study. Participants diagnosed with depression and either type 2 diabetes or low back pain (n=183) were randomized to "intervention + iTAU" (combining a face-to-face intervention with a supporting web-based program) or "iTAU" alone. The main outcome consisted of a standardized composite score to consider (1) severity of depressive symptoms and (2a) diabetes control or (2b) pain intensity and physical disability 3 months after the end of treatment as the primary end point. Differences between the groups were estimated using mixed effects linear regression models, and mediation evaluations were conducted using path analyses to evaluate the potential mechanistic role of positive and negative affectivity and openness to the future.

RESULTS

At 3-month follow-up, the intervention + iTAU group (vs iTAU) exhibited greater reductions in composite multimorbidity score (B=-0.34, 95% CI -0.64 to -0.04; Hedges g=0.39) as well as in depression and negative affect and improvements in perceived health, positive affect, and openness to the future. Similar positive effects were observed after the intervention, including improvements in physical disability. No significant differences were found in glycosylated hemoglobin, pain intensity, or disability at 3-month follow-up (P=.60; P=.79; and P=.43, respectively). Path analyses revealed that the intervention had a significant impact on the primary outcome, mediated by both positive and negative affect (positive affect: indirect effect=-0.15, bootstrapped 95% CI -0.28 to -0.03; negative affect: indirect effect=-0.14, bootstrapped 95% CI -0.28 to -0.02).

CONCLUSIONS

This study supports the efficacy of a low-intensity psychological intervention applied in a blended format on multimorbidity in primary care. It justifies the exploration of the conceptualization of depression in type 2 diabetes as well as the analysis of the implementation of such interventions in routine clinical practice.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03426709; https://clinicaltrials.gov/study/NCT03426709.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/S12888-019-2037-3.

Economic Evaluation of a Web Application Implemented in Primary Care for the Treatment of Depression in Patients With Type 2 Diabetes Mellitus: Multicenter Randomized Controlled Trial

BACKGROUND

Depressive disorder and type 2 diabetes mellitus (T2DM) are prevalent in primary care (PC). Pharmacological treatment, despite controversy, is commonly chosen due to resource limitations and difficulties in accessing face-to-face interventions. Depression significantly impacts various aspects of a person's life, affecting adherence to medical prescriptions and glycemic control and leading to future complications and increased health care costs. To address these challenges, information and communication technologies (eg, eHealth) have been introduced, showing promise in improving treatment continuity and accessibility. However, while eHealth programs have demonstrated effectiveness in alleviating depressive symptoms, evidence regarding glycemic control remains inconclusive. This randomized controlled trial aimed to test the efficacy of a low-intensity psychological intervention via a web app for mild-moderate depressive symptoms in individuals with T2DM compared with treatment as usual (TAU) in PC.

OBJECTIVE

This study aimed to analyze the cost-effectiveness and cost-utility of a web-based psychological intervention to treat depressive symptomatology in people with T2DM compared with TAU in a PC setting.

METHODS

A multicenter randomized controlled trial was conducted with 49 patients with T2DM, depressive symptoms of moderate severity, and glycosylated hemoglobin (HbA1c) of 7.47% in PC settings. Patients were randomized to TAU (n=27) or a web-based psychological treatment group (n=22). This web-based treatment consisted of cognitive behavioral therapy, improvement of diabetes self-care behaviors, and mindfulness. Cost-effectiveness analysis for the improvement of depressive symptomatology was conducted based on reductions in 3, 5, or 50 points on the Patient Health Questionnaire-9 (PHQ-9). The efficacy of diabetes control was estimated based on a 0.5% reduction in HbA1c levels. Follow-up was performed at 3 and 6 months. The cost-utility analysis was performed based on quality-adjusted life years.

RESULTS

Efficacy analysis showed that the web-based treatment program was more effective in improving depressive symptoms than TAU but showed only a slight improvement in HbA1c. Incremental cost-effectiveness ratios of 186.76 for a 3-point reduction in PHQ-9 and 206.31 for reductions of 5 and 50 percentage points were obtained. In contrast, the incremental cost-effectiveness ratio for improving HbA1c levels amounted to €1510.90 (€1=US $1.18 in 2018) per participant. The incremental cost-utility ratio resulted in €4119.33 per quality-adjusted life year gained.

CONCLUSIONS

The intervention, using web-based modules incorporating cognitive behavioral therapy tools, diabetes self-care promotion, and mindfulness, effectively reduced depressive symptoms and enhanced glycemic control in patients with T2DM. Notably, it demonstrated clinical efficacy and economic efficiency. This supports the idea that eHealth interventions not only benefit patients clinically but also offer cost-effectiveness for health care systems. The study emphasizes the importance of including specific modules to enhance diabetes self-care behaviors in future web-based psychological interventions, emphasizing personalization and adaptation for this population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03426709; https://clinicaltrials.gov/study/NCT03426709.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/S12888-019-2037-3.

Effect of self-help interventions on psychological, glycemic, and behavioral outcomes in patients with diabetes: A meta-analysis of randomized controlled trials

BACKGROUND

Self-help interventions are beneficial for patients with diabetes; however, related studies have reported conflicting results. To date, no review has examined the effect of self-help interventions on diabetes outcomes.

OBJECTIVES

To systematically evaluate the effects of self-help interventions on psychological, glycemic, and behavioral outcomes in patients with diabetes.

DESIGN

A systematic review and meta-analysis of randomized controlled trials.

METHODS

Five databases-PubMed, CINAHL, Embase, PsycINFO, and ClinicalTrials.gov-were searched from 1996, 1937, 1947, 1887, and 2000, respectively, to 2 June 2023. Studies that employed a randomized controlled trial design, enrolled adults with diabetes, implemented a self-help intervention as the main or an additional intervention, and reported the outcomes of interest were included. Studies providing self-help interventions to patients with gestational diabetes or pregnant women were excluded. The primary outcomes were diabetes distress, depression, and anxiety, and the secondary outcomes were glycemic and behavioral outcomes (self-management behavior, self-efficacy, and quality of life). Hedges' g and the associated 95 % confidence interval (CI) were calculated using a random-effects model to obtain the pooled estimates of short-, mid-, and long-term effects of self-help interventions. Heterogeneity was explored using I2 and Q statistics, and moderator analysis was performed to identify the sources of heterogeneity.

RESULTS

Of 17 eligible studies, 16 provided data for meta-analysis. We included 3083 patients with diabetes; the majority were women (61.95 %), and their average age was 55.13 years. Self-help interventions exerted significant short-term effects on diabetes distress (g = -0.363; 95 % CI = -0.554, -0.173), depression (g = -0.465; 95 % CI = -0.773, -0.156), anxiety (g = -0.295; 95 % CI = -0.523, -0.068), glycosylated hemoglobin level (g = -0.497; 95 % CI = -0.791, -0.167), self-efficacy (g = 0.629; 95 % CI = 0.060, 1.197), and quality of life (g = 0.413; 95 % CI = 0.104, 0.721; g = 0.182; 95 % CI = 0.031, 0.333; and g = 0.469; 95 % CI = 0.156, 0.783 for overall, physical, and mental domains, respectively). We also noted significant mid-term effects of self-help interventions on diabetes distress (g = -0.195; 95 % CI = -0.374, -0.016), self-management behavior (g = 0.305; 95 % CI = 0.155, 0.454), and overall quality of life (g = 0.562; 95 % CI = 0.315, 0.810). The certainty of evidence ranged from high to very low certainty for the measured outcomes.

CONCLUSIONS

Self-help interventions may have some positive effects on diabetes distress, anxiety, self-management behavior, and quality of life.

REGISTRATION

This review was registered in PROSPERO (CRD42022329905).

TWEETABLE ABSTRACT

This meta-analysis demonstrated that self-help interventions might improve psychological and behavioral outcomes in patients with diabetes.

The Effectiveness of Telehealth Interventions on Medication Adherence Among Patients with Type 2 Diabetes: A Meta-Analysis

Objective: Diabetes mellitus (DM) is a global health issue with an increasing frequency across the world and is an important disease in which medication adherence is a priority component for disease management. Several interventions are implemented to increase medication adherence in patients with type 2 DM, and telehealth interventions have become widespread thanks to technological advancements. This meta-analysis aims at reviewing the telehealth interventions applied to patients with type 2 DM and examining their effects on medication adherence. Methods: Relevant studies published in ScienceDirect, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL) and PubMed from 2000 to December 2022 were searched in this meta-analysis. Their methodological quality was assessed using the Modified Jadad scale. Total score for each study ranged from 0 (low quality) to 8 (high quality). Studies with four or more were of good quality. Standardized mean difference (SMD) and 95% confidence intervals (CI) were used for statistical analysis. Publication bias was assessed using the funnel plot and Egger regression test. Both subgroup analysis and meta-regression analysis were performed in the study. Results: A total of 18 studies were analyzed in this meta-analysis. All studies scored 4 or above in their methodological quality assessment and were of good quality. The combined results have shown that telehealth interventions significantly increased medication adherence in the intervention group (SMD = 0.501; 95% CI 0.231-0.771; Z = 3.63, p < 0.001). Our subgroup analysis has revealed that HbA1c value, mean age, and duration of intervention significantly affected the study results. Conclusion: Telehealth interventions are an effective method to increase medication adherence in patients with type 2 DM. It is recommended that telehealth interventions be expanded in clinical practices and included in disease management.

E-Health technologies for treatment of depression, anxiety and emotional distress in person with diabetes mellitus: A systematic review and meta-analysis

OBJECTIVE

This systematic review of randomized clinical trials (RCT) summarized the available evidence regarding the use of e-Health technologies for the treatment of depression, anxiety, and emotional distress in person with diabetes mellitus.

METHODS

The Cochrane CENTRAL, MEDLINE, EMBASE, Web of Science and LILACS databases searched were up to January 11th, 2023. The primary outcomes were improvement of depression, anxiety, diabetes-related emotional distress and quality of life. Reviewers, in pairs and independently, selected the studies and extracted their data.

RESULTS

A total of 10 RCT involving 2,209 participants were analyzed. The methodological quality of the studies reviewed was high. Results showed improvements in depression with the use of Internet-Guided Self-Help (SMD = -0.74, 95%CI = -1.04 to -0.43) or Telephone-Delivered Cognitive Behavioral Therapy (CBT) (SMD = -0.42, 95%CI = -0.65 to -0.19); in anxiety with Internet-Guided Self-Help (SMD = -0.72, 95%CI = -1.02 to -0.42) or Diabetes-specific-CBT (SMD = -0.60, 95%CI = -1.18 to -0.02); and in emotional distress with Internet-Guided Self-Help (SMD = -0.72, 95%CI = -1.02 to -0.41) or Healthy Outcomes through Patient Empowerment (SMD = -0.26, 95%CI = -0.53 to 0.01) compared to usual care.

CONCLUSION

Due to heterogeneity in interventions, populations, follow-up time and outcomes, future RCT should be conducted to confirm these findings.

Technology-Supported Integrated Care Innovations to Support Diabetes and Mental Health Care: Scoping Review

BACKGROUND

For individuals living with diabetes and its psychosocial comorbidities (eg, depression, anxiety, and distress), there remains limited access to interprofessional, integrated care that includes mental health support, education, and follow-up. Health technology, broadly defined as the application of organized knowledge or skill as software, devices, and systems to solve health problems and improve quality of life, is emerging as a means of addressing these gaps. There is thus a need to understand how such technologies are being used to support, educate, and help individuals living with co-occurring diabetes and mental health distress or disorder.

OBJECTIVE

The purpose of this scoping review was to (1) describe the literature on technology-enabled integrated interventions for diabetes and mental health; (2) apply frameworks from the Mental Health Commission of Canada and World Health Organization to elucidate the components, type, processes, and users of technology-enabled integrated interventions for diabetes and mental health; and (3) map the level of integration of interventions for diabetes and mental health.

METHODS

We searched 6 databases from inception to February 2022 for English-language, peer-reviewed studies of any design or type that used technology to actively support both diabetes and any mental health distress or disorder in succession or concurrently among people with diabetes (type 1 diabetes, type 2 diabetes, and gestational diabetes). Reviewers screened citations and extracted data including study characteristics and details about the technology and integration used.

RESULTS

We included 24 studies described in 38 publications. These studies were conducted in a range of settings and sites of care including both web-based and in-person settings. Studies were mostly website-based (n=13) and used technology for wellness and prevention (n=16) and intervention and treatment (n=15). The primary users of these technologies were clients and health care providers. All the included intervention studies (n=20) used technology for clinical integration, but only 7 studies also used the technology for professional integration.

CONCLUSIONS

The findings of this scoping review suggest that there is a growing body of literature on integrated care for diabetes and mental health enabled by technology. However, gaps still exist with how to best equip health care professionals with the knowledge and skills to offer integrated care. Future research is needed to continue to explore the purpose, level, and breadth of technology-enabled integration to facilitate an approach to overcome or address care fragmentation for diabetes and mental health and to understand how health technology can further drive the scale-up of innovative integrated interventions.

Leveraging digital technology for social connectedness among adults with chronic conditions: A systematic review

Purpose

To review the evidence about the impact of digital technology on social connectedness among adults with one or more chronic health conditions.

Methods

PubMed, Embase, Social Sciences, CINAHL, and Compendex were systematically searched for full-text, peer-reviewed empirical evidence published between 2012 and 2023 and reported using the PRISMA flow diagram. Articles were critically appraised applying the Joanna Briggs Institute checklists. Specific data were extracted based on the framework for social identity and technology approaches for health outcomes and then analyzed and synthesized.

Results

Thirty-four studies met study criteria. Evidence showed heterogeneity among research methodology, chronic health conditions, digital technology, and health outcomes. Technology use was influenced by factors such as usability, anonymity, availability, and control. More advanced digital technologies require higher digital literacy and improved accessibility features/modifications. Social support was the most measured aspect of social connectedness. The emotional and informational forms of social support were most reported; instrumental support was the least likely to be delivered. Self-efficacy for using technology was considered in seven articles. Sixteen articles reported health outcomes: 31.2% (n = 5) described mental health outcomes only, 18.8% (n = 3) reported physical health outcomes only, 31.2% (n = 5) detailed both physical and mental health outcomes, whereas 18.8% (n = 3) denoted well-being or quality-of-life outcomes. Most often, health outcomes were positive, with negative outcomes for selected groups also noted.

Conclusion

Leveraging digital technology to promote social connectedness has the potential to affect positive health outcomes. Further research is needed to better understand the social integration of technology among populations with different contexts and chronic health conditions to enhance and tailor digital interventions.

Predictors of Unrelieved Symptoms in All of Us Research Program Participants With Chronic Conditions

CONTEXT

Over half of American adults are diagnosed with a chronic condition, with an increasing prevalence being diagnosed with multiple chronic conditions. These adults are at higher risk for having unrelieved, co-occurring symptoms, known as symptom clusters.

OBJECTIVES

To identify symptom phenotypes of patients diagnosed with four common chronic conditions, specifically, cancer, chronic obstructive pulmonary disease, heart failure, and/or type 2 diabetes mellitus, and to understand factors that predict membership in symptomatic phenotypes.

METHODS

We conducted a retrospective, cross-sectional analysis using participant responses (N=14,127) to All of Us Research Program, a National Institutes of Health biomedical database, survey questions. We performed hierarchical clustering to generate symptom phenotypes of fatigue, emotional distress, and pain and used multinomial regression to determine if demographic, healthcare access and utilization, and health-related variables predict symptom phenotype.

RESULTS

Four phenotypes, one asymptomatic or mildly symptomatic and three highly symptomatic (characterized by severe symptoms, severe pain, and severe emotional distress), were identified. The percentage of participants belonging to the severe symptoms phenotype increased with the number of chronic conditions. Most notably, foregoing or delaying medical care and rating mental health as poor or fair increased the odds of belonging to a highly symptomatic phenotype.

CONCLUSION

We found meaningful relationships between demographic, healthcare access and utilization, and health-related factors and symptom phenotypes. With the increasing trends of American adults with one or more chronic conditions and a demand to individualize care in the precision health era, it is critical to understand the factors that lead to unrelieved symptoms.

Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review

BACKGROUND

Chronic conditions are characterized by their long duration (≥1 year), need for ongoing medical attention, and limitations in activities of daily living. These can often co-occur with depression and anxiety as common and detrimental comorbidities among the growing population living with chronic conditions. Digital health interventions (DHIs) hold promise in overcoming barriers to accessing mental health support for these individuals; however, the design and implementation of DHIs for depression and anxiety in people with chronic conditions are yet to be explored.

OBJECTIVE

This study aimed to explore what is known in the literature regarding DHIs for the prevention, detection, or treatment of depression and anxiety among people with chronic conditions.

METHODS

A scoping review of the literature was conducted using the Arksey and O'Malley framework. Searches of the literature published in 5 databases between 1990 and 2019 were conducted in April 2019 and updated in March 2021. To be included, studies must have described a DHI tested with, or designed for, the prevention, detection, or treatment of depression or anxiety in people with common chronic conditions (arthritis, asthma, diabetes mellitus, heart disease, chronic obstructive pulmonary disease, cancer, stroke, and Alzheimer disease or dementia). Studies were independently screened by 2 reviewers against the inclusion and exclusion criteria. Both quantitative and qualitative data were extracted, charted, and synthesized to provide a descriptive summary of the trends and considerations for future research.

RESULTS

Database searches yielded 11,422 articles across the initial and updated searches, 53 (0.46%) of which were included in this review. DHIs predominantly sought to provide treatment (44/53, 83%), followed by detection (5/53, 9%) and prevention (4/53, 8%). Most DHIs were focused on depression (36/53, 68%), guided (32/53, 60%), tailored to chronic physical conditions (19/53, 36%), and delivered through web-based platforms (20/53, 38%). Only 2 studies described the implementation of a DHI.

CONCLUSIONS

As a growing research area, DHIs offer the potential to address the gap in care for depression and anxiety among people with chronic conditions; however, their implementation in standard care is scarce. Although stepped care has been identified as a promising model to implement efficacious DHIs, few studies have investigated the use of DHIs for depression and anxiety among chronic conditions using such models. In developing stepped care, we outlined DHI tailoring, guidance, and intensity as key considerations that require further research.

Web-Based Interventions to Help Australian Adults Address Depression, Anxiety, Suicidal Ideation, and General Mental Well-being: Scoping Review

BACKGROUND

A large number of Australians experience mental health challenges at some point in their lives. However, in many parts of Australia, the wait times to see general practitioners and mental health professionals can be lengthy. With increasing internet use across Australia, web-based interventions may help increase access to timely mental health care. As a result, this is an area of increasing research interest, and the number of publicly available web-based interventions is growing. However, it can be confusing for clinicians and consumers to know the resources that are evidence-based and best meet their needs.

OBJECTIVE

This study aims to scope out the range of web-based mental health interventions that address depression, anxiety, suicidal ideation, or general mental well-being and are freely available to Australian adults, along with their impact, acceptability, therapeutic approach, and key features.

METHODS

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews (PRISMA-ScR [PRISMA extension for Scoping Reviews]) guided the review process. Keywords for the search were depression, anxiety, suicide, and well-being. The search was conducted using Google as well as the key intervention databases Beacon, Head to Health, and e-Mental Health in Practice. Interventions were deemed eligible if they targeted depression, anxiety, suicidal ideation, or general mental well-being (eg, resilience) in adults; and were web-based, written in English, interactive, free, and publicly available. They also had to be guided by an evidence-based therapeutic approach.

RESULTS

Overall, 52 eligible programs were identified, of which 9 (17%) addressed depression, 15 (29%) addressed anxiety, 13 (25%) addressed general mental well-being, and 13 (25%) addressed multiple issues. Only 4% (2/52) addressed distress in the form of suicidal ideation. The most common therapeutic approach was cognitive behavioral therapy. Half of the programs guided users through exercises in a set sequence, and most programs enabled users to log in and complete the activities on their own without professional support. Just over half of the programs had been evaluated for their effectiveness in reducing symptoms, and 11% (6/52) were being evaluated at the time of writing. Program evaluation scores ranged from 44% to 100%, with a total average score of 85%.

CONCLUSIONS

There are numerous web-based programs for depression, anxiety, suicidal ideation, and general well-being, which are freely and publicly available in Australia. However, identified gaps include a lack of available web-based interventions for culturally and linguistically diverse populations and programs that use newer therapeutic approaches such as acceptance and commitment therapy and dialectical behavior therapy. Despite most programs included in this review being of good quality, clinicians and consumers should pay careful attention when selecting which program to recommend and use, as variations in the levels of acceptability and impact of publicly available programs do exist.

Effectiveness of eHealth-Based Psychological Interventions for Depression Treatment in Patients With Type 1 or Type 2 Diabetes Mellitus: A Systematic Review

BACKGROUND

Comorbidity between diabetes mellitus and depression is highly prevalent. The risk of depression in a person with diabetes is approximately twice that of a person without this disease. Depression has a major impact on patient well-being and control of diabetes. However, despite the availability of effective and specific therapeutic interventions for the treatment of depression in people with diabetes, 50% of patients do not receive psychological treatment due to insufficient and difficult accessibility to psychological therapies in health systems. The use of information and communication technologies (ICTs) has therefore been proposed as a useful tool for the delivery of psychological interventions, but it continues to be a field in which scientific evidence is recent and controversial. This systematic review aims to update the available information on the efficacy of psychological interventions delivered through ICTs to improve depressive symptomatology in patients with diabetes.

METHODS

A systematic review of the literature was performed following the PRISMA guidelines and using MEDLINE, Embase, PubMed, Web of Science, PsycINFO, Scopus, and Cochrane Library databases to search for randomized clinical trials of eHealth treatments for patients with diabetes and comorbid depression from 1995 through 2020. In addition, studies related to follow-up appointments were identified. Inclusion criteria were as follows: (a) randomized clinical trials (RCTs); (b) patients with type 1 and type 2 diabetes; (c) adult population over 18 years of age; (d) presence of depressive symptomatology assessed with standardized instruments; (e) treatments for depression based on established psychotherapeutic techniques and principles; (f) delivered through eHealth technologies. We did not limit severity of depressive symptomatology, delivery setting or comparison group (treatment as usual or other treatment). Two coauthors independently reviewed the publications identified for inclusion and extracted data from the included studies. A third reviewer was involved to discuss discrepancies found. The PEDro scale was used to assess the quality of the RCTs. No meta-analysis of the results was performed. The protocol used for this review is available in PROSPERO (Reg; CRD42020180405).

RESULTS

The initial search identified 427 relevant scientific publications. After removing duplicates and ineligible citations, a total of 201 articles were analyzed in full text. Ten articles met the criteria of this review and were included, obtaining very good scientific quality after evaluation with the PEDro scale. The main results show that the eHealth psychological intervention for depression in patients with diabetes showed beneficial effects both at the end of treatment and in the short (3 months) and long term (6 and 12 months) for the improvement of depressive symptomatology. The methodology used (type of diabetes, eHealth technology used, recruitment context, implementation and follow-up) was very heterogeneous. However, all studies were based on cognitive-behavioral tools and used standardized assessment instruments to evaluate depressive symptomatology or diagnosis of MDD. Glycemic control was assessed by glycosylated hemoglobin, but no benefits were found in improving glycemic control. Only four studies included psychoeducational content on diabetes and depression, but none used tools to improve or enhance adherence to medical prescriptions or diabetes self-care.

CONCLUSIONS

ICT-based psychological interventions for the treatment of depression in people with diabetes appear to be effective in reducing depressive symptomatology but do not appear to provide significant results with regard to glycemic control. Nonetheless, the scientific evidence reported to date is still very limited and the methodology very diverse. In addition, no studies have implemented these systems in routine clinical practice, and no studies are available on the economic analysis of these interventions. Future research should focus on studying and including new tools to ensure improvements in diabetes outcomes and not only on psychological well-being in order to advance knowledge about these treatments. Economic evaluations should also be undertaken to analyze whether these treatment programs implemented using eHealth technologies are cost-effective.