Interventions for improving adherence to treatment recommendations in people with type 2 diabetes mellitus

Examining nursing processes in primary care settings using the Chronic Care Model: an umbrella review

BACKGROUND

While there is clear evidence that nurses can play a significant role in responding to the needs of populations with chronic conditions, there is a lack of consistency between and within primary care settings in the implementation of nursing processes for chronic disease management. Previous reviews have focused either on a specific model of care, populations with a single health condition, or a specific type of nurses. Since primary care nurses are involved in a wide range of services, a comprehensive perspective of effective nursing processes across primary care settings and chronic health conditions could allow for a better understanding of how to support them in a broader way across the primary care continuum. This systematic overview aims to provide a picture of the nursing processes and their characteristics in chronic disease management as reported in empirical studies, using the Chronic Care Model (CCM) conceptual approach.

METHODS

We conducted an umbrella review of systematic reviews published between 2005 and 2021 based on the recommendations of the Joanna Briggs Institute. The methodological quality was assessed independently by two reviewers using the AMSTAR 2 tool.

RESULTS

Twenty-six systematic reviews and meta-analyses were included, covering 394 primary studies. The methodological quality of most reviews was moderate. Self-care support processes show the most consistent positive outcomes across different conditions and primary care settings. Case management and nurse-led care show inconsistent outcomes. Most reviews report on the clinical components of the Chronic Care Model, with little mention of the decision support and clinical information systems components.

CONCLUSIONS

Placing greater emphasis on decision support and clinical information systems could improve the implementation of nursing processes. While the need for an interdisciplinary approach to primary care is widely promoted, it is important that this approach not be viewed solely from a clinical perspective. The organization of care and resources need to be designed to support contributions from all providers to optimize the full range of services available to patients with chronic conditions.

PROSPERO REGISTRATION

CRD42021220004.

Network Pharmacology Approach for Medicinal Plants: Review and Assessment

Natural products have played a critical role in medicine due to their ability to bind and modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive scaffolds for the treatment of multiple disorders. The less adverse effects, affordability, and easy accessibility highlight their potential in traditional remedies. Identifying pharmacological targets from active ingredients of medicinal plants has become a hot topic for biomedical research to generate innovative therapies. By developing an unprecedented opportunity for the systematic investigation of traditional medicines, network pharmacology is evolving as a systematic paradigm and becoming a frontier research field of drug discovery and development. The advancement of network pharmacology has opened up new avenues for understanding the complex bioactive components found in various medicinal plants. This study is attributed to a comprehensive summary of network pharmacology based on current research, highlighting various active ingredients, related techniques/tools/databases, and drug discovery and development applications. Moreover, this study would serve as a protocol for discovering novel compounds to explore the full range of biological potential of traditionally used plants. We have attempted to cover this vast topic in the review form. We hope it will serve as a significant pioneer for researchers working with medicinal plants by employing network pharmacology approaches.

Integrating Network Pharmacology and Molecular Docking Approaches to Decipher the Multi-Target Pharmacological Mechanism of Abrus precatorius L. Acting on Diabetes

Type 2 diabetes mellitus (T2DM) is a notable health care load that imposes a serious impact on the quality of life of patients. The small amount of reported data and multiple spectra of pathophysiological mechanisms of T2DM make it a challenging task and serious economic burden in health care management. Abrus precatorius L. is a slender, perennial, deciduous, and woody twining plant used in various regions of Asia to treat a variety of ailments, including diabetes mellitus. Various in vitro studies revealed the therapeutic significance of A. precatorius against diabetes. However, the exact molecular mechanism remains unclarified. In the present study, a network pharmacology technique was employed to uncover the active ingredients, their potential targets, and signaling pathways in A. precatorius for the treatment of T2DM. In the framework of this study, we explored the active ingredient–target–pathway network and figured out that abrectorin, abrusin, abrisapogenol J, sophoradiol, cholanoic acid, precatorine, and cycloartenol decisively contributed to the development of T2DM by affecting AKT1, MAPK3, TNFalpha, and MAPK1 genes. Later, molecular docking was employed to validate the successful activity of the active compounds against potential targets. Lastly, we conclude that four highly active constituents, namely, abrusin, abrisapogenol J, precatorine, and cycloartenol, help in improving the body’s sensitivity to insulin and regulate the expression of AKT1, MAPK3, TNFalpha, and MAPK1, which may act as potential therapeutic targets of T2DM. Integrated network pharmacology and docking analysis revealed that A. precatorius exerted a promising preventive effect on T2DM by acting on diabetes-associated signaling pathways. This provides a basis to understand the mechanism of the anti-diabetes activity of A. precatorius.

Effectiveness of Adherence Therapy in Adults with Type 2 Diabetes: A Systematic Review

Adherence therapy has been shown to be an effective adjunct treatment in long-term conditions including hypertension. The purpose of this study is to review and critically appraise evidence on the effectiveness of adherence therapy as an intervention in adults with type 2 diabetes. A systematic search of clinical trials published between 2005 and January 2020 in databases was undertaken in October 2018 and updated in August 2020. Inclusion criteria were any clinical trials where the population under investigation was adults with type 2 diabetes and the experimental intervention was adherence therapy. Version 2 of the Cochrane risk of bias was used to determine the quality of the included studies. No studies met our inclusion criteria. However, four studies that we excluded at full text screening tested some of the components (e.g., problem solving) of adherence therapy. As is recommended when reporting empty reviews, those studies were synthesized to determine if useful information can be extracted. That no trials of adherence therapy have been reported in type 2 diabetes establishes a potentially important gap in knowledge. This review was registered in PROSPERO (registration number: CRD42019115216) after the initial searches were completed.

Impact of DSMES app interventions on medication adherence in type 2 diabetes mellitus: systematic review and meta-analysis

Objectives

To conduct systematic review and meta-analysis of interventional studies to investigate the impact of diabetes self-management education and support (DSMES) apps on adherence in patients with type 2 diabetes mellitus (T2D).

Methods

PubMed, Embase, CENTRAL, Web of Science, Scopus and ProQuest were searched, in addition to references of identified articles and similar reviews. Experimental studies, reported in English, assessing DSMES app intervention’s impact on adherence and clinical outcomes of patients with T2D compared with usual care were included. Study bias was assessed using Cochrane Risk of Bias V.2.0 tool. Analysis plan involved narrative synthesis, moderator and meta-analysis.

Results

Six randomised controlled trials were included, involving 696 participants (average age 57.6 years, SD 10.59). Mobile apps were mostly used for imputing clinical data, dietary intake or physical activity, and transmitting information to the provider. At 3 months, DSMES apps proved effective in improving medication adherence (standardized mean difference (SMD)=0.393, 95% CI 0.17 to 0.61), glycated haemoglobin (HbA1c) (mean difference (MD)=−0.314, 95% CI −0.477 to –0.151) and Body Mass Index (BMI) (MD=−0.28, 95% CI −0.545 to –0.015). All pooled estimates had low heterogeneity (I² 0%). Four studies had moderate risk of bias while one each was judged to be low and high risks, respectively.

Conclusion

DSMES apps had significant small to moderate effects on medication adherence, HbA1c and BMI of patients with T2D compared with usual care. Apps were described as reliable, easy to use and convenient, though participants were required to be phone literate. Evidence comes from feasibility trials with generally moderate risk of bias. Larger trials with longer follow-up periods using theory-based interventions are required to improve current evidence.

A Web-Based Computer-Tailored Program to Improve Treatment Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial

Background

Adherence to core type 2 diabetes mellitus (T2DM) treatment behaviors is suboptimal, and nonadherence is generally not limited to one treatment behavior. The internet holds promise for programs that aim to improve adherence. We developed a computer-tailored eHealth program for patients with T2DM to improve their treatment adherence, that is, adherence to both a healthy lifestyle and medical behaviors.

Objective

The objective of this study is to examine the effectiveness of the eHealth program in a randomized controlled trial.

Methods

Patients with T2DM were recruited by their health professionals and randomized into either the intervention group, that is, access to the eHealth program for 6 months, or a waiting-list control group. In total, 478 participants completed the baseline questionnaire, of which 234 gained access to the eHealth program. Of the 478 participants, 323 were male and 155 were female, the mean age was 60 years, and the participants had unfavorable BMI and HbA_1c levels on average. Outcome data were collected through web-based assessments on physical activity (PA) levels, caloric intake from unhealthy snacks, and adherence to oral hypoglycemic agents (OHAs) and insulin therapy. Changes to separate behaviors were standardized and summed into a composite change score representing changes in the overall treatment adherence. Further standardization of this composite change score yielded the primary outcome, which can be interpreted as Cohen d (effect size). Standardized change scores observed in separate behaviors acted as secondary outcomes. Mixed linear regression analyses were conducted to examine the effectiveness of the intervention on overall and separate treatment behavior adherence, accommodating relevant covariates and patient nesting.

Results

After the 6-month follow-up assessment, 47.4% (111/234) of participants in the intervention group and 72.5% (177/244) of participants in the control group were retained. The overall treatment adherence improved significantly in the intervention group compared with the control group, reflected by a small effect size (d=0.27; 95% CI 0.032 to 0.509; P=.03). When considering changes in separate treatment behaviors, a significant decrease was observed only in caloric intake from unhealthy snacks in comparison with the control group (d=0.36; 95% CI 0.136 to 0.584; P=.002). For adherence to PA (d=−0.14; 95% CI −0.388 to 0.109; P=.27), OHAs (d=0.27; 95% CI −0.027 to 0.457; P=.08), and insulin therapy (d=0.35; 95% CI −0.066 to 0.773; P=.10), no significant changes were observed. These results from the unadjusted analyses were comparable with the results of the adjusted analyses, the per-protocol analyses, and the sensitivity analyses.

Conclusions

Our multibehavior program significantly improved the overall treatment adherence compared with the control group. To further enhance the impact of the intervention in the personal, societal, and economic areas, a wide-scale implementation of our eHealth intervention is suggested.

Trial Registration

Netherlands Trial Register NL664; https://www.trialregister.nl/trial/6664

Qualitative Exploration of Barriers to Medication Adherence Among Patients with Uncontrolled Diabetes in Saudi Arabia

Uncontrolled diabetes is associated with macrovascular and microvascular complications that compromise the quality of life; however, the patients’ perspectives about medication non-adherence are unclear. We aimed to understand patient behavior and explore the barriers to medication adherence in uncontrolled diabetes patients. We employed a qualitative method of face-to-face interviews conducted with adult patients in Saudi Arabia who had uncontrolled diabetes mellitus (glycosylated hemoglobin >7% or fasting blood glucose >7.2 mmol/L). All interviews were audio-recorded and analyzed using thematic analysis. The interviews were conducted for 68 patients. Sixty-seven patients were suffering from Diabetes Mellitus Type 2, and one patient was suffering from Diabetes Mellitus Type 1. We identified the barriers to medication adherence and classified them under six main factors: patients-, medications-, healthcare-, provider-, social-, and disease-related factors. The main barriers identified were the use of alternatives, hard-pressed for time, polypharmacy, bad relationship with the physician, cultured beliefs, self-alteration of the dose, exposed side effects, ineffective medications, refusal of insulin, multiple doctor visits, uncontrolled diet, and forgetfulness. Multiple barriers that prevented the patients from medication adherence were related to poor knowledge, counseling, psychological management, and social support. Appropriate educational programs, suitable patient-specific counseling, and close follow-ups would be required to improve the knowledge, outcomes, and quality of life in uncontrolled diabetes patients.

Strategies for improving adherence to antiepileptic drug treatment in people with epilepsy

BACKGROUND

Poor adherence to antiepileptic medication is associated with increased mortality, morbidity and healthcare costs. In this review, we focus on interventions designed and tested in randomised controlled trials (RCTs) and quasi-RCTs to assist people with adherence to antiepileptic medication. This is an update of a Cochrane review first published in 2011, and last updated in 2017.

OBJECTIVES

To determine the effectiveness of interventions aimed at improving adherence to antiepileptic medication in adults and children with epilepsy.

SEARCH METHODS

For the latest update, we searched the following databases on 18 February 2020: Cochrane Register of Studies (CRS Web), MEDLINE, CINAHL Plus and PsycINFO. CRS Web includes RCTs or quasi-RCTs from PubMed, Embase, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform (ICTRP), CENTRAL, and the Specialized Registers of Cochrane Review Groups including Epilepsy. We also searched the reference lists of relevant articles.

SELECTION CRITERIA

RCTs and quasi-RCTs of adherence-enhancing interventions aimed at people with a clinical diagnosis of epilepsy (as defined in individual studies), of any age and treated with antiepileptic drugs in a primary care, outpatient or other community setting.

DATA COLLECTION AND ANALYSIS

All review authors independently assessed lists of potentially relevant citations and abstracts. At least two review authors independently extracted data and performed a quality assessment of each study according to the Cochrane tool for assessing risk of bias. We graded the level of evidence for each outcome according to GRADE. The studies differed widely according to the type of intervention and measures of adherence; therefore combining data was not appropriate.

MAIN RESULTS

We included 20 studies reporting data on 2832 participants. Thirteen studies targeted adults with epilepsy, one study included participants of all ages, one study included participants older than two years, one recruited pediatric patients aged between 1 month to 15 years, one study targeted caregivers of children with epilepsy, one targeted adolescents and caregivers, and two studies targeted families of children with epilepsy. We identified three ongoing studies. Follow-up time was generally short in most studies, ranging from 1 to 12 months. The studies examined three main types of interventions: educational interventions, behavioural interventions and mixed interventions. All but three studies compared treatment with usual care or 'no intervention'. Due to heterogeneity between studies in terms of interventions, methods used to measure adherence and the way the studies were reported, we did not pool the results and these findings were inappropriate to be included in a meta-analysis. Education and counselling of participants with epilepsy had mixed success (moderate-certainty evidence). Behavioural interventions such as the use of intensive reminders provided more favourable effects on adherence (moderate-certainty evidence). The effect on adherence to antiepileptic drugs described by studies of mixed interventions showed improved adherence in the intervention groups compared to the control groups (high-certainty evidence). Eleven studies described seizure frequency or seizure severity or both, with four of them, reporting improved adherence and decreased seizure frequency in the intervention groups (moderate-certainty evidence). Findings related to self-efficacy and quality of life were mixed, with no clear pattern across types of intervention.

AUTHORS' CONCLUSIONS

Behavioural interventions such as intensive reminders and the use of mixed interventions demonstrate some positive results, however, we need more reliable evidence on their efficacy, derived from carefully-designed RCTs before we can draw a firm conclusion. None of the newly included studies have provided additional information that would lead to significant changes in our conclusions.

Poor glycemic control in workers with diabetes mellitus in relation to long working hours: a cross-sectional study

We aimed to investigate the association between working hours and poor glycemic control using a cross-sectional data from the Korea National Health and Nutrition Examination Survey (KNHANES). The participants who were medically diagnosed with diabetes mellitus by a physician were defined as diabetic patients, and patients with hemoglobin A1c (HbA1c) levels >9.0% were considered as "poorly controlled". The association of HbA1c level with working hours was examined by linear regression plot, using local regression line and logistic regression analyses. The local regression plot showed a smooth increasing pattern: the longer were the working hours, the higher were the HbA1c levels, even though it was not statistically significant. Odds ratios of working hours over 52 h per week were higher with the criterion of poor diabetic control (HbA1c >9.0%). The results were significant in elderly female workers (odds ratio 3.30, 95% confidence interval 1.19-9.18). Long working hours were associated with poor glycemic control, specifically among elderly female workers with diabetes.

Diabetic retinopathy, diabetic macular edema, and cardiovascular risk: the importance of a long-term perspective and a multidisciplinary approach to optimal intravitreal therapy

Diabetic retinopathy (DR), diabetic macular edema (DME), and cardiovascular disease (CVD) resulting from vascular damage from persistently elevated blood glucose levels are among the serious secondary pathologies associated with long-standing diabetes mellitus. The established link between DR and CVD suggests the need for appropriate and early management of patients with diabetes to minimize CV risk. This is of particular importance in patients with recent, or a history of, major CV events. Early management of DR is a complex task that requires comprehensive evaluation and a multidisciplinary approach to manage complications, risk factors, and interactions between different aspects of the disease. Anti-vascular endothelial growth factor (VEGF) agents have become an important therapeutic modality in ophthalmology. However, their use is contraindicated in patients with DR and/or DME with a CV event in the previous 3 months. In patients with DME, corticosteroids target the multifaceted inflammatory pathways involved in the pathogenesis of DR, with a broader spectrum of action than anti-VEGF agents. In this context, recent guidelines suggest the use of corticosteroids, and in particular dexamethasone intravitreal implant, as a well-tolerated and efficacious first-line treatment in patients with high CV risk, such as a history of or recent major CV events. This review focuses on the subset of diabetic patients with a prior CV event, DR, and DME and discusses the need for a holistic approach in evaluating the optimal therapeutic choice for the care of the individual patient, supported by real-world clinical experience on long-term dexamethasone intravitreal implant therapy.

A cluster-randomized trial of the effectiveness of a triple-faceted intervention promoting adherence to primary care physician visits by diabetes patients

We aimed to assess whether a triple-faceted intervention program administered in the primary care setting could decrease the risk of insufficient adherence to primary care physician (PCP) appointments among this patient population. We conducted a cluster-randomized controlled study to assess the effects of a 1-year intervention. The primary outcome was insufficient adherence to regular PCP attendance for diabetes treatment, defined as failure to visit a PCP within 2 months of an original appointment date. The intervention consisted of mailing patient reminders of their PCP appointments, providing patients with health education aimed at lifestyle modification and benchmarking PCP procedures. Eleven municipal level district medical associations employing 192 PCPs were divided into two subregions for assignment to intervention and control clusters, with 971 and 1,265 patients assigned to the intervention and control groups, respectively. Primary outcome data were available for 2,200 patients. The intervention reduced insufficient adherence to regular PCP appointments by 63% (hazard ratio, 0.37; 95% confidence interval [CI], 0.23-0.58). In conclusion, a triple-faceted intervention program consisting of health education, appointment reminders, and physician benchmarking may decrease the risk of incomplete adherence to regular PCP appointments by diabetes patients.

Patient-centered communication and shared decision making to reduce HbA1c levels of patients with poorly controlled type 2 diabetes mellitus - results of the cluster-randomized controlled DEBATE trial

Background

Does an intervention designed to foster patient-centered communication and shared decision making among GPs and their patients with poorly controlled type 2 diabetes mellitus reduce the level of HbA1c.

Methods

The DEBATE trial is a cluster-randomized controlled trial conducted in German primary care and including patients with type 2 diabetes mellitus having an HbA1c level of 8.0% (64 mmol/mol) or above at the time of recruitment. Data was measured before intervention (baseline, T0), 6–8 months (T1), 12–14 months (T2), 18–20 months (T3), and 24–26 months (T4) after baseline. Main outcome measure is the level of HbA1c.

Results

In both, the intervention and the control group the decline of the HbA1c level from T0 to T4 was statistically significant (− 0.67% (95% CI: − 0.80,-0.54%; p < 0.0001) and − 0.64% (95% CI: − 0.78, − 0.51%; p < 0.0001), respectively). However, there was no statistically significant difference between both groups.

Conclusions

Although the DEBATE trial was not able to confirm effectiveness of the intervention tested compared to care as usual, the results suggest that patients with poorly controlled type 2 diabetes are able to improve their blood glucose levels. This finding may encourage physicians to stay on task to regularly approach this cohort of patients.

Trial registration

The trial was registered at ISRCTN registry under the reference ISRCTN70713571.

Electronic supplementary material

The online version of this article (10.1186/s12875-019-0977-9) contains supplementary material, which is available to authorized users.

Economic Impact of Diabetes in South Asia: the Magnitude of the Problem

PURPOSE OF REVIEW

To critically assess and identify gaps in the current literature on the economic impact of diabetes in South Asia.

RECENT FINDINGS

The total annual (direct medical and non-medical and indirect) costs for diabetes care in South Asia range from $483-$2637 per patient, and on an average 5.8% of patients with diabetes suffer catastrophic spending i.e. when households reduce basic expenditure by 40% to cope with healthcare costs. The mean direct costs per patient are positively associated with a country's gross domestic product (GDP) per capita, although there is wide heterogeneity across South Asian countries. With an estimated 84 million people suffering from diabetes in South Asia, diabetes imposes a substantial economic burden on individuals, families, and society. Since the disease burden increasingly occurs in the most productive midlife period, it adversely affects workforce productivity and macroeconomic development. Diabetes-related complications lead to markedly higher treatment costs, causing catastrophic medical spending for many households, thus underscoring the importance of preventing diabetes-related complications.

Compliance, adherence, concordance, empowerment, and self-management: five words to manifest a relational maladjustment in diabetes

Background: The pathological reality of diabetes and the incidents in following the prescribed therapies have been considered and are still a serious and relevant problem in the health sector. Objective: This review aims at highlighting the importance of clinical psychological phenomena that underlie the notion of therapies. Methods: The review was conducted through search engines such as PubMed, Medline, Web of Science and Google Scholar. The articles related to compliance, adherence, concordance, empowerment and the self-management of diabetes were included, in order to highlight the possible similarities and differences that these terms bring with them in them management of diabetes. Results: Starting from 252 initial publications, 101 articles were selected that highlighted the practical implications that each term has compared to the others. Conclusion: The review can represent a bridge between the medical approach and clinical psychology, in which integration can suggest paths aiming at improving patients' existential conditions and adaptation.

Factors Determining the Success of Therapeutic Lifestyle Interventions in Diabetes - Role of Partner and Family Support

Background and aims: Knowledge of therapeutic lifestyle interventions is one of the most important pillars of diabetes care; however, its incorporation in real-world settings is poor. This review evaluates the role of partner and family support in diabetes management. Methods: Literature searches were performed in PubMed, Medline and Embase for articles published before July 2018, using the terms “therapeutic lifestyle intervention” [MeSH Terms], OR “diet changes” [All Fields], OR “spousal participation” [All Fields], OR “lifestyle interventions” [All Fields], “lifestyle changes” [All Fields] AND “diabetes” [All Fields]. The search was not restricted to English-language literature; literature in Spanish, French and German were also evaluated. Results: A total of 66 of articles were reviewed, which included 33 original work, 21 review articles, and 12 systematic reviews and meta-analyses. Studies and meta-analyses have showed that if one partner has type-2 diabetes this increases the risk in other by 5–26%. Partner and family have similar diet, lifestyle, and micro- and macro-environments which could explain the similar increased risk of diabetes and non-communicable diseases. Studies have consistently shown that spousal and family support plays a key role in overcoming negative behaviours and optimising behaviours in diabetes control. Partner support has major role in prevention and control of diabetes distress, associated depression, and medication non-compliance which have an adverse impact in glycaemic outcomes. These data are predominantly available from observational studies. There is paucity of data from interventional trials evaluating effects of family and spousal participation on health, glycaemic control and quality of life. Conclusion: The support of family and spouse/partner is beneficial to improve adherence to the lifestyle interventions and pharmacotherapy required to achieve optimum glycaemic control and avoid associated complications.

A Short Weight Loss Intervention in a Neurosurgical Subspecialist Clinical Setting

Context

The relationship between back pain and obesity is well characterized; therefore, the neurosurgical consultant visit for back pain may be a key interventional opportunity for weight loss.

Aims

The aim of this project was to evaluate efficacy of an educational intervention for back pain.

Methods

A retrospective study was undertaken to evaluate effectiveness of an educational intervention (Show patient's own MRI, Explain degenerative disc disease, Relate to weight issues, Reference other weight-related comorbidities, and Encourage a plan of action for weight loss [SERRE]). This has been performed since 2014 for patients presenting to the first author's neurosurgical spine clinic with nonsurgical back pain and body mass index (BMI) over 35.

Results

The average BMI was 50.7. Fifty-five percent of patients had additional weight-related comorbidities. After SERRE intervention, 82% of patients were open to weight loss interventions. However, only 22% of patients went on to follow-up with a formal weight management program and only 9% of patients went on to have a documented weight loss. The lack of success was largely attributed to social issues and severe medical comorbidities within the specific population.

Conclusions

Incorporation of patient education regarding the relationship of weight loss to back pain and other weight-related comorbidities is well received in a rural specialist consultation setting. Improved communication with primary care physicians regarding this message and further supportive actions may improve follow-through, and therefore success of ultimate weight loss interventions.

Patients' Perspectives of Oral and Injectable Type 2 Diabetes Medicines, Their Body Weight and Medicine-Taking Behavior in the UK: A Systematic Review and Meta-Ethnography

The aim of this review is to identify peoples' perspectives of their glucose-lowering and anti-obesity drugs in relation to diabetes and weight control and to explore how these views affect medication adherence. Theoretical perspectives associated with medicine-taking behavior are also explored. The systematic review was based on a meta-ethnography of qualitative studies identified through a search of 12 medical and social science databases and subsequent citation searches. The quality of all studies was assessed. Sixteen studies were included with data from 360 UK individuals. No relevant studies were identified which focused on anti-obesity and non-insulin injectable drugs. The review revealed that the patients' perspectives and emotional state were influenced by starting and/or changing to a new glucose-lowering medicine. These were also influenced by prior medication experience, disease perceptions and interactions with clinicians. Despite reports of positive experiences with and positive perceptions of medicines, and of participation in strategies to regain life control, medication non-adherence was common. Accepting glucose-lowering medicines impacted on the individual's perception of lifestyle changes, and it was notable that weight loss was not perceived as a strategy to support diabetes management. Synthesis revealed that more than one theory is required to explain medicine-taking behavior. New insights into the underlying factors of poor adherence and the specific practical issues identified in this review can help in the development of patient-centered interventions.

FUNDING

Diabetes UK.

Sense of coherence, self-esteem, and health locus of control in subjects with type 1 diabetes mellitus with/without satisfactory metabolic control

BACKGROUND

Despite intensive training, a few individuals with Type 1 diabetes mellitus (T1DM) fail to reach the desired metabolic targets.

AIM

To evaluate the association between disease-related emotional and cognitive aspects and metabolic control in subjects with T1DM.

SUBJECTS AND METHODS

Health locus of control (HLOC), sense of coherence (SOC), and self-esteem were assessed in T1DM subjects using validated questionnaires. Sixty-seven consecutive subjects who did not attain the desired HbA1c target (mean HbA1c, 8.3% [67 mmol/mol]) were compared with 30 cases in satisfactory metabolic control (HbA1c levels <7%-53 mmol/mol).

RESULTS

In the overall population, SOC was negatively associated with BMI and average HbA1c, as was the association of self-esteem with HbA1c. Subjects attaining the desired metabolic target were characterized by higher SOC scores, higher Internal HLOC and prevalent Internal vs. Powerful-others HLOC. Compared to subjects in good metabolic control, subjects with unsatisfactory control had lower scores of SOC, Internal HLOC and Self-esteem, with no difference in Powerful others, or Chance HLOC. In the same group, SOC in the upper tertile was significantly associated with self-esteem (OR 1.35; 95% CI 1.08-1.69) and PHLOC (OR 1.24; 95% CI 1.03-1.49), after adjustment for age, sex, educational level, and comorbidities.

CONCLUSIONS

Patients who fail to reach a satisfactory metabolic control tend to rely on significant others, trusting in the physicians' skills or on the efficiency of the health-care system. Strategies aimed at increasing self-efficacy and SOC, based on personal ability, are eagerly awaited to help patients improve diabetes care.

The effectiveness of smoking cessation, physical activity/diet and alcohol reduction interventions delivered by mobile phones for the prevention of non-communicable diseases: A systematic review of randomised controlled trials

BACKGROUND

We conducted a systematic review to assess the effectiveness of smoking cessation, physical activity (PA), diet, and alcohol reduction interventions delivered by mobile technology to prevent non-communicable diseases (NCDs).

METHODS

We searched for randomised controlled trials (RCTs) of mobile-based NCD prevention interventions using MEDLINE, EMBASE, Global Health, CINAHL (Jan 1990-Jan 2016). Two authors extracted data.

FINDINGS

71 trials were included: smoking cessation (n = 18); PA (n = 15), diet (n = 3), PA and diet (n = 25); PA, diet, and smoking cessation (n = 2); and harmful alcohol consumption (n = 8). 4 trials had low risk of bias. The effect of SMS-based smoking cessation support on biochemically verified continuous abstinence was pooled relative risk [RR] 2.19 [95% CI 1.80-2.68], I2 = 0%) and on verified 7 day point prevalence of smoking cessation was pooled RR 1.51 [95% CI 1.06-2.15], I2 = 0%, with no reported adverse events. There was no difference in peak oxygen intake at 3 months in a trial of an SMS-based PA intervention. The effect of SMS-based diet and PA interventions on: incidence of diabetes was pooled RR 0.67 [95% CI 0.49, 0.90], I2 = 0.0%; end-point weight was pooled MD -0.99Kg [95% CI -3.63, 1.64] I2 = 29.4%; % change in weight was pooled MD -3.1 [95%CI -4.86- -1.3] I2 0.3%; and on triglyceride levels was pooled MD -0.19 mmol/L [95% CI -0.29, -0.08], I2 = 0.0%. The results of other pooled analyses of the effect of SMS-based diet and PA interventions were heterogenous (I2 59-90%). The effects of alcohol reduction interventions were inconclusive.

CONCLUSIONS

Smoking cessation support delivered by SMS increases quitting rates. Trials of PA interventions reporting outcomes ≥3 months showed no benefits. There were at best modest benefits of diet and PA interventions. The effects of the most promising SMS-based smoking, diet and PA interventions on morbidity and mortality in high-risk groups should be established in adequately powered RCTs.

A qualitative exploration of barriers to medication adherence among patients with uncontrolled diabetes in Qatar: integrating perspectives of patients and health care providers

PURPOSE

To develop an in-depth understanding of the barriers to medication adherence among patients with uncontrolled diabetes attending primary health care (PHC) centers in Qatar by exploring and integrating patients' and health care providers' perspectives.

PARTICIPANTS AND METHODS

A descriptive qualitative methodology was used in this study. A trained researcher conducted semi-structured face-to-face interviews at two PHC centers. Patients with uncontrolled diabetes (with varied sociodemographic characteristics) and their respective health care providers (physicians, pharmacists, nurses, dieticians, and others) were purposively selected from the two PHC centers. All interviews were audio recorded, transcribed verbatim, and analyzed using thematic content analysis.

RESULTS

Thirty interviews (14 patients and 16 health care providers) were conducted. A number of barriers to medication adherence were identified and classified broadly under three main themes: 1) patient-related factors, which included patients' individual characteristics and patients' perception, attitude, and behavior; 2) patient-provider factors, which included communication and having multiple health care providers caring for the patient; and 3) societal and environmental factors, which included social pressure and traveling to visit friends and relatives.

CONCLUSION

Patients with uncontrolled diabetes face multiple barriers to medication adherence. Similar themes emerged from both patients and their care providers. This research highlights the need for concerted multidimensional efforts and series of interventions to overcome these barriers. One vital intervention is expanding the scope of pharmacists' role within the PHC centers through providing medication reconciliation, patient-tailored medication counseling, and medicines use review, which may improve treatment outcomes among patients with diabetes.

Health education for patients with acute coronary syndrome and type 2 diabetes mellitus: an umbrella review of systematic reviews and meta-analyses

OBJECTIVES

This umbrella review aimed to identify the current evidence on health education-related interventions for patients with acute coronary syndrome (ACS) or type two diabetes mellitus (T2DM); identify the educational content, delivery methods, intensity, duration and setting required. The purpose was to provide recommendations for educational interventions for high-risk patients with both ACS and T2DM.

DESIGN

Umbrella review of systematic reviews and meta-analyses.

SETTING

Inpatient and postdischarge settings.

PARTICIPANTS

Patients with ACS and T2DM.

DATA SOURCES

CINAHL, Cochrane Library, Joanna Briggs Institute, Journals@Ovid, EMBase, Medline, PubMed and Web of Science databases from January 2000 through May 2016.

OUTCOMES MEASURES

Clinical outcomes (such as glycated haemoglobin), behavioural outcomes (such as smoking), psychosocial outcomes (such as anxiety) and medical service use.

RESULTS

Fifty-one eligible reviews (15 for ACS and 36 for T2DM) consisting of 1324 relevant studies involving 2 88 057 patients (15 papers did not provide the total sample); 30 (58.8%) reviews were rated as high quality. Nurses only and multidisciplinary teams were the most frequent professionals to provide education, and most educational interventions were delivered postdischarge. Face-to-face sessions were the most common delivery formats, and many education sessions were also delivered by telephone or via web contact. The frequency of educational sessions was weekly or monthly, and an average of 3.7 topics was covered per education session. Psychoeducational interventions were generally effective at reducing smoking and admissions for patients with ACS. Culturally appropriate health education, self-management educational interventions, group medical visits and psychoeducational interventions were generally effective for patients with T2DM.

CONCLUSIONS

Results indicate that there is a body of current evidence about the efficacy of health education, its content and delivery methods for patients with ACS or T2DM. These results provide recommendations about the content for, and approach to, health education intervention for these high-risk patients.

Synthesizing and Appraising the Quality of the Evidence on Factors Associated with Medication Adherence in Diabetes: A Systematic Review of Systematic Reviews

BACKGROUND

Nonadherence to medications is a common phenomenon in patients with diabetes. Several studies and systematic reviews have investigated the barriers to medication adherence in diabetes. However, no study has evaluated the quality of the existing literature and synthesized the plethora of evidence with a goal to design holistic conceptual frameworks and interventions.

OBJECTIVES

The aims of this review were to systematically evaluate existing systematic reviews focusing on factors associated with medication adherence in diabetes in an effort to synthesize the evidence, determine their methodological quality, and identify the gaps in the current literature.

METHODS

Fourteen databases and gray literature sources were systematically searched through June 2016. Systematic reviews reporting factors associated with medication adherence (barriers and facilitators) in patients with diabetes were selected on the basis of predetermined criteria. Studies were appraised for quality using AMSTAR (A Measurement Tool to Assess Systematic Reviews).

RESULTS

Seventeen systematic reviews including 542 primary studies, most of which were cross-sectional quantitative studies, were included. All the reviews were rated as moderate to low quality and exhibited common methodological pitfalls. Factors influencing medication adherence identified were categorized as patient-, medication-, disease-, health care provider-, health care system-, and social-related factors.

CONCLUSIONS

Factors influencing medication adherence are multifactorial with remarkably consistent findings across the existing reviews; yet, most reviews were judged to be of low to moderate quality. Further comprehensive and well-conducted original studies and systematic reviews on this topic shall be conducted taking into consideration the drawbacks of existing ones.

Psychological interventions for diabetes-related distress in adults with type 2 diabetes mellitus

BACKGROUND

Many adults with type 2 diabetes mellitus (T2DM) experience a psychosocial burden and mental health problems associated with the disease. Diabetes-related distress (DRD) has distinct effects on self-care behaviours and disease control. Improving DRD in adults with T2DM could enhance psychological well-being, health-related quality of life, self-care abilities and disease control, also reducing depressive symptoms.

OBJECTIVES

To assess the effects of psychological interventions for diabetes-related distress in adults with T2DM.

SEARCH METHODS

We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, CINAHL, BASE, WHO ICTRP Search Portal and ClinicalTrials.gov. The date of the last search was December 2014 for BASE and 21 September 2016 for all other databases.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) on the effects of psychological interventions for DRD in adults (18 years and older) with T2DM. We included trials if they compared different psychological interventions or compared a psychological intervention with usual care. Primary outcomes were DRD, health-related quality of life (HRQoL) and adverse events. Secondary outcomes were self-efficacy, glycosylated haemoglobin A1c (HbA1c), blood pressure, diabetes-related complications, all-cause mortality and socioeconomic effects.

DATA COLLECTION AND ANALYSIS

Two review authors independently identified publications for inclusion and extracted data. We classified interventions according to their focus on emotion, cognition or emotion-cognition. We performed random-effects meta-analyses to compute overall estimates.

MAIN RESULTS

We identified 30 RCTs with 9177 participants. Sixteen trials were parallel two-arm RCTs, and seven were three-arm parallel trials. There were also seven cluster-randomised trials: two had four arms, and the remaining five had two arms. The median duration of the intervention was six months (range 1 week to 24 months), and the median follow-up period was 12 months (range 0 to 12 months). The trials included a wide spectrum of interventions and were both individual- and group-based.A meta-analysis of all psychological interventions combined versus usual care showed no firm effect on DRD (standardised mean difference (SMD) -0.07; 95% CI -0.16 to 0.03; P = 0.17; 3315 participants; 12 trials; low-quality evidence), HRQoL (SMD 0.01; 95% CI -0.09 to 0.11; P = 0.87; 1932 participants; 5 trials; low-quality evidence), all-cause mortality (11 per 1000 versus 11 per 1000; risk ratio (RR) 1.01; 95% CI 0.17 to 6.03; P = 0.99; 1376 participants; 3 trials; low-quality evidence) or adverse events (17 per 1000 versus 41 per 1000; RR 2.40; 95% CI 0.78 to 7.39; P = 0.13; 438 participants; 3 trials; low-quality evidence). We saw small beneficial effects on self-efficacy and HbA1c at medium-term follow-up (6 to 12 months): on self-efficacy the SMD was 0.15 (95% CI 0.00 to 0.30; P = 0.05; 2675 participants; 6 trials; low-quality evidence) in favour of psychological interventions; on HbA1c there was a mean difference (MD) of -0.14% (95% CI -0.27 to 0.00; P = 0.05; 3165 participants; 11 trials; low-quality evidence) in favour of psychological interventions. Our included trials did not report diabetes-related complications or socioeconomic effects.Many trials were small and were at high risk of bias for incomplete outcome data as well as possible performance and detection biases in the subjective questionnaire-based outcomes assessment, and some appeared to be at risk of selective reporting. There are four trials awaiting further classification. These are parallel RCTs with cognition-focused and emotion-cognition focused interventions. There are another 18 ongoing trials, likely focusing on emotion-cognition or cognition, assessing interventions such as diabetes self-management support, telephone-based cognitive behavioural therapy, stress management and a web application for problem solving in diabetes management. Most of these trials have a community setting and are based in the USA.

AUTHORS' CONCLUSIONS

Low-quality evidence showed that none of the psychological interventions would improve DRD more than usual care. Low-quality evidence is available for improved self-efficacy and HbA1c after psychological interventions. This means that we are uncertain about the effects of psychological interventions on these outcomes. However, psychological interventions probably have no substantial adverse events compared to usual care. More high-quality research with emotion-focused programmes, in non-US and non-European settings and in low- and middle-income countries, is needed.

Improving risk factor management for patients with poorly controlled type 2 diabetes: a systematic review of healthcare interventions in primary care and community settings

OBJECTIVES

Poorly controlled type 2 diabetes mellitus (T2DM) is a major international health problem. Our aim was to assess the effectiveness of healthcare interventions, specifically targeting patients with poorly controlled T2DM, which seek to improve glycaemic control and cardiovascular risk in primary care settings.

DESIGN

Systematic review.

SETTING

Primary care and community settings.

INCLUDED STUDIES

Randomised controlled trials (RCTs) targeting patients with poor glycaemic control were identified from Pubmed, Embase, Web of Science, Cochrane Library and SCOPUS. Poor glycaemic control was defined as HbA1c over 59 mmol/mol (7.5%).

INTERVENTIONS

Interventions were classified as organisational, patient-oriented, professional, financial or regulatory.

OUTCOMES

Primary outcomes were HbA1c, blood pressure and lipid control. Two reviewers independently assessed studies for eligibility, extracted data and assessed study quality. Meta-analyses were undertaken where appropriate using random-effects models. Subgroup analysis explored the effects of intervention type, baseline HbA1c, study quality and study duration. Meta-regression analyses were undertaken to investigate identified heterogeneity.

RESULTS

Forty-two RCTs were identified, including 11 250 patients, with most undertaken in USA. In general, studies had low risk of bias. The main intervention types were patient-directed (48%) and organisational (48%). Overall, interventions reduced HbA1c by -0.34% (95% CI -0.46% to -0.22%), but meta-analyses had high statistical heterogeneity. Subgroup analyses suggested that organisational interventions and interventions on those with baseline HbA1c over 9.5% had better improvements in HbA1c. Meta-regression analyses suggested that only interventions on those with population HbA1c over 9.5% were more effective. Interventions had a modest improvement of blood pressure and lipids, although baseline levels of control were generally good.

CONCLUSIONS

This review suggests that interventions for T2DM, in primary care, are better targeted at individuals with very poor glycaemic control and that organisational interventions may be more effective.

The impact of educational intervention on physical activity, nutrition and laboratory parameters in type II diabetic patients

Background

Diabetes is one of the most common chronic diseases that is now widely spread around the world, and day by day the number of patients is increasing. The purpose of this study was to determine the impact of educational intervention on physical activity, nutrition and laboratory parameters in type 2 diabetic patients.

Methods

This semi-experimental study was performed from March to October 2015 on 100 patients with type 2 diabetes who referred to the Niknejad health center. The type of sampling was simple random. Data were collected using a questionnaire including demographic questions, assessment of nutritional status and physical activity, history of diabetes, physical measurements and laboratory parameters of patients. Data were analyzed using SPSS 16, and descriptive and analytical tests (paired-samples t-test) and the results were significant at the level of (p<0.05).

Results

In present study, body measurements, the mean number of units of fruit and vegetable intake per day, type of oil consumption, the mean number of days of fish intake per week or the mean number of days with intense physical activity per week, had no significant difference before and after the intervention, while the variables of FBS level (p<0.003), rate of HbA_1c (p<0.027), the mean number of days of fruit intake (p<0.001) and vegetable intake (p<0.037) per week and the mean number of days with moderate physical activity (p<0.03) of patients, had significant difference before and after the intervention.

Conclusion

According to the findings of this study, to improve BMI, fish intake, type of oil consumption and also increased daily fruit and vegetable intake in these patients, a variety of educational-supportive interventions are recommended.

Economic Impact of Treatment Duration and Persistence with Basal Insulin in Previously Insulin-Naive Users

BACKGROUND

Although insulin is a well-established therapy that is associated with improved clinical outcomes, adherence and persistence with insulin regimens are poor in patients with type 2 diabetes mellitus (T2DM). Diabetes-related health care costs and the impact of insulin persistence patterns on these health care costs have been previously studied; however, these aspects of insulin therapy have limited data beyond the first year of use and have not been characterized among patients previously naive to basal insulin.

OBJECTIVES

To (a) describe and compare medical- and pharmacy-related costs, health care resource utilization, and comorbidities and complications during the initial year and second (experienced) year of basal insulin therapy, and (b) describe and compare the impact of continuous versus interrupted basal insulin use during each year.

METHODS

This was a retrospective observational database analysis using claims from multiple U.S. commercial health plans (Truven Health MarketScan) in previously insulin-naive patients with T2DM who were initiated on basal insulin. Data collected included all-cause and diabetes-related medical and pharmacy costs, health care resource utilization (i.e., number and type of outpatient visits, hospitalization, emergency department [ED] visits), medication use, and preselected comorbidities and complications. This cost analysis described and compared health care costs and resource use between the initial and experienced years and further compared health care costs and resource use between continuers and interrupters within each of those years.

RESULTS

A total of 23,645 patients were included in the analysis; 12,224 were classified as continuers and 11,421 were classified as interrupters. Among all patients, mean increases from the initial year to the experienced year were observed for all-cause medical costs ($12,690-$13,408; P = 0.048), all-cause pharmacy costs ($6,253-$6,559; P < 0.001), and all-cause health care costs ($18,943-$19,967; P = 0.006), after adjusting for inflation. All-cause pharmacy costs were significantly higher for continuers versus interrupters, but total diabetes-related medical care costs, all-cause ED costs, and all-cause medical costs were significantly lower, resulting in similar all-cause health care costs between continuers and interrupters in both the initial and experienced years. Among all patients, diabetes-related inpatient visits and outpatient primary care physician (PCP) visits, total medical inpatient visits, and total medical outpatient PCP visits were significantly higher in the initial year than in the experienced year; however, there were fewer diabetes-related ED visits in the initial year.

CONCLUSIONS

Initiation of basal insulin appears to be associated with increased health care costs, and treatment persistence pattern (continuers vs. interrupters) is further correlated with health care expenditures. Although associated with decreased pharmacy costs, interruption of therapy increases medical costs, underscoring the importance of addressing persistence to therapy.

DISCLOSURES

This study was funded by Eli Lilly and Company and Boehringer Ingelheim. Eli Lilly reviewed and approved this manuscript for submission. All the authors are employees and minor shareholders of Eli Lilly and Company. Study concept and design were contributed by Kalirai, Duan, and Reed. Duan and Liu collected the data, and data interpretation was performed by Kalirai. The manuscript was written by all the authors and revised by Kalirai.

Are home visits an effective method for diabetes management? A quantitative systematic review and meta-analysis

AIMS/INTRODUCTION

Previous reviews have revealed uncertainty regarding the effectiveness of home visit interventions for managing diabetes. Therefore, we carried out a quantitative systematic review and meta-analysis to evaluate the effects of home visit interventions among patients with diabetes.

MATERIALS AND METHODS

We searched various electronic databases (PubMed, EMBASE, Cochrane Library, Web of Science, CINAHL, Wanfang and Chinese scientific full-text databases) from their inception until March 2016. We included randomized controlled trials that included patients with diabetes, and evaluated the effects of home visit programs on glycated hemoglobin concentrations. Two reviewers independently used the Cochrane Collaboration methods to assess the included studies' risk of bias and quality.

RESULTS

We included seven randomized controlled trials with 686 participants. Compared with the usual care, the home visit group showed a greater reduction in glycated hemoglobin concentrations (mean difference -0.79% [-9 mmol/mol], 95% confidence interval [CI]: -0.93 to -0.25% [11 to -3 mmol/mol]; P < 0.05; I²  = 0%), systolic blood pressure (mean difference -5.94 mmHg, 95% confidence interval -11.34 to -0.54 mmHg) and diastolic blood pressure (mean difference -6.32 mmHg, 95% confidence interval -12.00 to -0.65 mmHg). Furthermore, home visits improved quality of life, high-density lipoprotein, low-density lipoprotein, total triglycerides and self-management. However, there were no significant differences between the two groups in their bodyweight, total cholesterol, body mass index and self-efficacy.

CONCLUSION

Home visits were associated with improved glycemic control and reduced cardiovascular risk factors, which shows that it is an effective method for diabetes management.

Strategies for improving adherence to antiepileptic drug treatment in people with epilepsy

BACKGROUND

Poor adherence to antiepileptic medication is associated with increased mortality, morbidity and healthcare costs. In this review, we focus on interventions designed and tested in randomised controlled trials and quasi-randomised controlled trials to assist people with adherence to antiepileptic medication. This is an updated version of the original Cochrane review published in the Cochrane Library, Issue 1, 2010.

OBJECTIVES

To determine the effectiveness of interventions aimed at improving adherence to antiepileptic medication in adults and children with epilepsy.

SEARCH METHODS

For the latest update, on 4 February 2016 we searched the Cochrane Epilepsy Group Specialized Register, the Cochrane Central Register of Controlled Trials (CENTRAL) via the Cochrane Register of Studies Online (CRSO), MEDLINE (Ovid 1946 to 4 February 2016), CINAHL Plus (EBSCOhost 1937 to 4 February 2016), PsycINFO (EBSCOhost 1887 to 4 February 2016), ClinicalTrials.gov, and the WHO International Clinical Trials Registry Platform. We also searched the reference lists of relevant articles.

SELECTION CRITERIA

Randomised and quasi-randomised controlled trials of adherence-enhancing interventions aimed at people with a clinical diagnosis of epilepsy (as defined in individual studies), of any age and treated with antiepileptic drugs in a primary care, outpatient or other community setting.

DATA COLLECTION AND ANALYSIS

All review authors independently assessed lists of potentially relevant citations and abstracts. At least two review authors independently extracted data and performed quality assessment of each study according to the Cochrane tool for assessing risk of bias. We graded the level of evidence for each outcome according to the GRADE working group scale.The studies differed widely according to the type of intervention and measures of adherence; therefore combining data was not appropriate.

MAIN RESULTS

We included 12 studies reporting data on 1642 participants (intervention = 833, control = 809). Eight studies targeted adults with epilepsy, one study included participants of all ages, one study included participants older than two years, one study targeted caregivers of children with epilepsy, and one study targeted families of children with epilepsy. We identified six ongoing trials. Follow-up time was generally short in most trials, ranging from one to 12 months. The trials examined three main types of interventions: educational interventions, behavioural interventions and mixed interventions. All studies compared treatment versus usual care or 'no intervention', except for two studies. Due to heterogeneity between studies in terms of interventions, methods used to measure adherence and the way the studies were reported, we did not pool the results and these findings were inappropriate to be included in a meta-analysis. Education and counselling of participants with epilepsy resulted in mixed success (moderate-quality evidence). Behavioural interventions such as use of intensive reminders provided more favourable effects on adherence (moderate-quality evidence). The effect on adherence to antiepileptic drugs described by studies of mixed interventions showed improved adherence in the intervention groups compared to the control groups (high-quality evidence).

AUTHORS' CONCLUSIONS

Behavioural interventions such as intensive reminders and the use of mixed interventions demonstrate some positive results; however, we need more reliable evidence on their efficacy, derived from carefully-designed randomised controlled trials before we can draw a firm conclusion. Since the last version of this review, none of the new relevant studies have provided additional information that would lead to significant changes in our conclusions. This current update includes 12 studies, of which six came from the latest searches.

Interventions to improve adherence to lipid-lowering medication

BACKGROUND

Lipid-lowering drugs are widely underused, despite strong evidence indicating they improve cardiovascular end points. Poor patient adherence to a medication regimen can affect the success of lipid-lowering treatment.

OBJECTIVES

To assess the effects of interventions aimed at improving adherence to lipid-lowering drugs, focusing on measures of adherence and clinical outcomes.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, PsycINFO and CINAHL up to 3 February 2016, and clinical trials registers (ANZCTR and ClinicalTrials.gov) up to 27 July 2016. We applied no language restrictions.

SELECTION CRITERIA

We evaluated randomised controlled trials of adherence-enhancing interventions for lipid-lowering medication in adults in an ambulatory setting with a variety of measurable outcomes, such as adherence to treatment and changes to serum lipid levels. Two teams of review authors independently selected the studies.

DATA COLLECTION AND ANALYSIS

Three review authors extracted and assessed data, following criteria outlined by the Cochrane Handbook for Systematic Reviews of Interventions. We assessed the quality of the evidence using GRADEPro.

MAIN RESULTS

For this updated review, we added 24 new studies meeting the eligibility criteria to the 11 studies from prior updates. We have therefore included 35 studies, randomising 925,171 participants. Seven studies including 11,204 individuals compared adherence rates of those in an intensification of a patient care intervention (e.g. electronic reminders, pharmacist-led interventions, healthcare professional education of patients) versus usual care over the short term (six months or less), and were pooled in a meta-analysis. Participants in the intervention group had better adherence than those receiving usual care (odds ratio (OR) 1.93, 95% confidence interval (CI) 1.29 to 2.88; 7 studies; 11,204 participants; moderate-quality evidence). A separate analysis also showed improvements in long-term adherence rates (more than six months) using intensification of care (OR 2.87, 95% CI 1.91 to 4.29; 3 studies; 663 participants; high-quality evidence). Analyses of the effect on total cholesterol and LDL-cholesterol levels also showed a positive effect of intensified interventions over both short- and long-term follow-up. Over the short term, total cholesterol decreased by a mean of 17.15 mg/dL (95% CI 1.17 to 33.14; 4 studies; 430 participants; low-quality evidence) and LDL-cholesterol decreased by a mean of 19.51 mg/dL (95% CI 8.51 to 30.51; 3 studies; 333 participants; moderate-quality evidence). Over the long term (more than six months) total cholesterol decreased by a mean of 17.57 mg/dL (95% CI 14.95 to 20.19; 2 studies; 127 participants; high-quality evidence). Included studies did not report usable data for health outcome indications, adverse effects or costs/resource use, so we could not pool these outcomes. We assessed each included study for bias using methods described in the Cochrane Handbook for Systematic Reviews of Interventions. In general, the risk of bias assessment revealed a low risk of selection bias, attrition bias, and reporting bias. There was unclear risk of bias relating to blinding for most studies.

AUTHORS' CONCLUSIONS

The evidence in our review demonstrates that intensification of patient care interventions improves short- and long-term medication adherence, as well as total cholesterol and LDL-cholesterol levels. Healthcare systems which can implement team-based intensification of patient care interventions may be successful in improving patient adherence rates to lipid-lowering medicines.

Adherence to Insulin Therapy

IN BRIEF Six million people with diabetes use insulin either alone or in combination with an oral medication. Many barriers exist that lead to poor adherence with insulin. However, there is an underwhelming amount of data on interventions to address these barriers and improve insulin adherence. Until pharmacological advancements create easier, more acceptable insulin regimens, it is imperative to involve patients in shared decision-making.

Systematic review of adherence rates by medication class in type 2 diabetes: a study protocol

INTRODUCTION

Treatment options for type 2 diabetes are becoming increasingly complex with people often prescribed multiple medications, and may include both oral and injectable therapies. There is ongoing debate about which drug classes provide the optimum second-line and third-line treatment options. In the real world, patient adherence and persistence determines medication effectiveness. A better understanding of adherence may help inform the choice of second-line and third-line drug classes.

METHODS AND ANALYSIS

This systematic review will compare adherence and persistence rates across the different classes of medication available to people with type 2 diabetes. It will include all identified studies comparing medication adherence or persistence between two or more glucose-lowering medications in people with type 2 diabetes. Research databases (MEDLINE, EMBASE, The Cochrane Library, The Register of Controlled Trials, PsychINFO and CINAHL) will be searched for relevant articles, using a comprehensive search strategy. All identified medication trials and observational studies will be included which compare adherence or persistence across classes of diabetes medication. The characteristics and outcomes of all the included studies will be reported along with a study quality grade, assessed using the Cochrane Risk Assessment Tool. The quality of adjustment for confounders of adherence or persistence will be reported for each study. Where multiple (n ≥ 3) studies provide compare adherence or persistence across the same 2 medication classes, a meta-analysis will be performed.

ETHICS AND DISSEMINATION

No ethics approval is required. This review and meta-analysis (where possible) will provide important information on the relative patient adherence and persistence, with the different classes of diabetes therapies. Once complete, the results will be made available by peer-reviewed publication.

TRIAL REGISTRATION NUMBER

CRD42015027865.

[Adherence of Type 2 Diabetes Mellitus approach: Current situation and possible solutions]

Objetivos

Definir el impacto y las causas de la falta de adherencia terapéutica en los pacientes con diabetes mellitus tipo 2 (DM2), las posibles intervenciones para mejorarla y el papel de las distintas partes implicadas.

Diseño

Valoración de cuestionario estructurado mediante método Delphi aplicado en 2 rondas.

Emplazamiento

Estudio realizado en el ámbito de atención primaria.

Participantes

Panel formado por profesionales médicos de reconocido prestigio y con amplia experiencia en diabetes.

Mediciones principales

Valoración a través de una escala Likert de 9 puntos del grado de acuerdo o desacuerdo de 131 ítems agrupados en 4 bloques: impacto; causas de incumplimiento; diagnóstico de la falta de adherencia y de sus posibles causas, y mejores intervenciones y papel de los distintos roles implicados en la mejora de la adherencia.

Resultados

Con una tasa de participación del 76,31%, los profesionales sanitarios de atención primaria consensuaron 110 de las 131 aseveraciones propuestas (84%), mostrando acuerdo en 102 ítems (77,9%) y desacuerdo en 8 (6,1%). No se logró consenso en 21 ítems.

Conclusiones

La falta de adherencia en los pacientes con DM2 dificulta lograr el control terapéutico. La formación específica y disponer de los recursos necesarios en la consulta son esenciales para minimizar el impacto de la falta de adherencia terapéutica.

Medication adherence on quality of life among adults with type 2 diabetes mellitus: an exploratory analysis on the EDDMQoL study

PURPOSE

This study examined the association between medication adherence (MA) and health-related quality of life (HRQoL) among the adult type 2 diabetes mellitus at the primary care level.

METHODS

In this cross-sectional study, the 8-item Morisky Medication Adherence Scale (MMAS) was the main independent variable and the World Health Organization Quality of Life-Brief the dependent variable. Besides socio-demographic data, diabetes-related distress (DRD) and depression (DS) were included as covariates. Independent association between the MMAS score and HRQoL was done using multiple linear regression.

RESULTS

The participants' response rate was 93.1 % (700/752). Majorities were female (52.8 %), Malay (52.9 %) and married (79.1 %). The mean (SD) for age and the MMAS score was 56.9 (10.18) and 5.6 (1.42), respectively. MMAS total score correlated significantly with all HRQoL domains: overall QoL (OQoL) (r = 0.17), physical QoL (r = 0.11), psychological QoL (r = 0.10), social relationship QoL (r = 0.15) and environmental QoL (EQoL) (r = 0.18). After adjustment for covariates (age, gender, ethnicity, religion, education, income, exercise, macrovascular complications, DRD and DS), MA had persistent effects on OQoL (B = 0.53, 95 % CI 0.012-1.048) and EQoL (B = 0.95, 95 % CI 0.235-1.667).

CONCLUSION

MA showed prevalent correlation and positive effects on the domains of HRQoL. Despite the small effects of MA on HRQoL, the sheer presence of the independent effects provides healthcare providers good reason for initiative and intervention to improve MA, which would improve quality of life.

A Systematic Review of Interventions Addressing Adherence to Anti-Diabetic Medications in Patients with Type 2 Diabetes--Components of Interventions

Background

Poor adherence to anti-diabetic medications contributes to suboptimal glycaemic control in patients with type 2 diabetes (T2D). A range of interventions have been developed to promote anti-diabetic medication adherence. However, there has been very little focus on the characteristics of these interventions and how effectively they address factors that predict non-adherence. In this systematic review we assessed the characteristics of interventions that aimed to promote adherence to anti-diabetic medications.

Method

Using appropriate search terms in Medline, Embase, CINAHL, International Pharmaceutical Abstracts (IPA), PUBmed, and PsychINFO (years 2000–2013), we identified 52 studies which met the inclusion criteria.

Results

Forty-nine studies consisted of patient-level interventions, two provider-level interventions, and one consisted of both. Interventions were classified as educational (n = 7), behavioural (n = 3), affective, economic (n = 3) or multifaceted (a combination of the above; n = 40). One study consisted of two interventions. The review found that multifaceted interventions, addressing several non-adherence factors, were comparatively more effective in improving medication adherence and glycaemic target in patients with T2D than single strategies. However, interventions with similar components and those addressing similar non-adherence factors demonstrated mixed results, making it difficult to conclude on effective intervention strategies to promote adherence. Educational strategies have remained the most popular intervention strategy, followed by behavioural, with affective components becoming more common in recent years. Most of the interventions addressed patient-related (n = 35), condition-related (n = 31), and therapy-related (n = 20) factors as defined by the World Health Organization, while fewer addressed health care system (n = 5) and socio-economic-related factors (n = 13).

Conclusion

There is a noticeable shift in the literature from using single to multifaceted intervention strategies addressing a range of factors impacting adherence to medications. However, research limitations, such as limited use of standardized methods and tools to measure adherence, lack of individually tailored adherence promoting strategies and variability in the interventions developed, reduce the ability to generalize the findings of the studies reviewed. Furthermore, this review highlights the need to develop multifaceted interventions which can be tailored to the individual patient’s needs over the duration of their diabetes management.

Failure to reach target glycated a1c levels among patients with diabetes who are adherent to their antidiabetic medication

The objectives of this study were to describe patient characteristics and types of medications taken by those with poor glycemic control (A1c>7%) despite being adherent to antidiabetic medications. This is a retrospective analysis of administrative data from adult patients with diabetes enrolled in a large health plan in Hawaii (n=21,267 observations for 11,013 individuals) and adherent to their antidiabetic medications. Multivariable logistic regressions were estimated to determine characteristics and types of medications associated with poor glycemic control. Separate models were estimated to examine category of medication (insulin only, 1 oral medication, multiple oral medications, both oral medications and insulin) and specific therapeutic class of oral antidiabetic medications. Despite being adherent to their medications, 56.1% of patients had poor glycemic control. Compared to patients taking combination sulfonylureas, patients had a higher odds of having A1c>7% for all other oral diabetic medications, with odds ratios ranging from OR=2.07 for sulfonylureas alone to OR=1.33 for combination DPP-4 inhibitors. More than half of patients in this study had poor A1c control despite being adherent to their medications. This suggests that physicians, pharmacists, and other providers may need to monitor treatment regimens more carefully, encourage healthy behaviors, and intensify pharmacological treatment as needed.

Determinants of medication adherence among adults with type 2 diabetes mellitus in three Malaysian public health clinics: a cross-sectional study

Medication adherence (MA) in adults with type 2 diabetes mellitus (T2D) is associated with improved disease control (glycated hemoglobin, blood pressure, and lipid profile), lower rates of death and diabetes-related complications, increased quality of life, and decreased health care resource utilization. However, there is a paucity of data on the effect of diabetes-related distress, depression, and health-related quality of life on MA. This study examined factors associated with MA in adults with T2D at the primary care level. This was a cross-sectional study conducted in three Malaysian public health clinics, where adults with T2D were recruited consecutively in 2013. We used the 8-item Morisky Medication Adherence Scale (MMAS-8) to assess MA as the main dependent variable. In addition to sociodemographic data, we included diabetes-related distress, depressive symptoms, and health-related quality of life as independent variables. Independent association between the MMAS-8 score and its determinants was done using generalized linear models with a gamma distribution and log link function. The participant response rate was 93.1% (700/752). The majority were female (52.8%), Malay (52.9%), and married (79.1%). About 43% of patients were classified as showing low MA (MMAS-8 score <6). Higher income (adjusted odds ratio 0.90) and depressive symptoms (adjusted odds ratio 0.99) were significant independent determinants of medication non-adherence in young adults with T2D. Low MA in adults with T2D is a prevalent problem. Thus, primary health care providers in public health clinics should focus on MA counselling for adult T2D patients who are younger, have a higher income, and symptoms of depression.

A systematic review of interventions addressing adherence to anti-diabetic medications in patients with type 2 diabetes--impact on adherence

Background

The global prevalence of diabetes is increasing. Medications are a recommended strategy to control hyperglycaemia. However, patient adherence can be variable, impacting health outcomes. A range of interventions for patients with type 2 diabetes have focused on improving treatment adherence. This review evaluates the impact of these interventions on adherence to anti-diabetic medications and focuses on the methods and tools used to measure adherence.

Method

Medline, Embase, CINAHL, IPA, PUBmed, and PsychINFO were searched for relevant articles published in 2000–2013, using appropriate search terms.

Results

Fifty two studies addressing adherence to anti-diabetic medications in patients with type 2 diabetes met the inclusion criteria and were reviewed. Each study was assessed for research design, method(s) used for measuring medication adherence, and impact of intervention on medication adherence and glycaemic control. Fourteen studies were published in 2000–2009 and 38 in 2010–2013. Twenty two interventions led to improvements in adherence to anti-diabetic medications, while only nine improved both medication adherence and glycaemic control. A single strategy could not be identified which would be guaranteed to improve anti-diabetic medication adherence consistently. Nonetheless, most interventions were successful in influencing one or more of the outcomes assessed, indicating the usefulness of these interventions under certain circumstances. Self-report, particularly the Summary of Diabetes Self-Care Activities questionnaire was the most commonly used tool to assess medication adherence, although other self-report tools were used in more recent studies. Overall, there was a slight increase in the number of studies that employed multiple methods to assess medication adherence in studies conducted after 2008.

Conclusion

The diversity of interventions and adherence measurements prevented a meta-analysis of the impact of interventions on adherence to therapy, highlighting the need for more consistency in methods in the area of adherence research. Whilst effective interventions were identified, it is not possible to conclude on an effective intervention that can be generalised to all patients with type 2 diabetes.

Determinants of Self-Care in Diabetic Patients Based on Health Belief Model

Introduction:

The aim of this study was to determine self-care predictors in diabetic patients based on health belief model.

Materials and Methods:

The cross-sectional study was conducted on 110 diabetic patients referred to health service centers in Ardakan city, Yazd, Iran. The data was collected by a questionnaire including perceived benefits, barriers, severity, susceptibility, self-efficacy, social support, self-care behaviors and demographic variables.

Results:

Regularly medicine use (mean= 6.48 times per week) and shoes checking (mean= 1.17 times per week) were reported as the highest and the lowest self-care behaviors respectively. Health belief model constructs including perceived benefits, barriers, severity, susceptibility, self-efficacy and social support predicted 33.5% of the observed variance of self-care behaviors. Perceived susceptibility and self-efficacy had positive effect on self-care behavior; whereas perceived barrier’s has negative effect. Self-efficacy, perceived susceptibility and barriers were most powerful predictor respectively.

Conclusion:

The findings approved the efficiency of health belief model in prediction of self-care behaviors among diabetic patients. The findings realized the health belief model structure; therefore, it can be used as a framework for designing and implementing educational interventions in diabetes control plans.

A brief adherence intervention that improved glycemic control: mediation by patterns of adherence

This study examined whether longitudinal adherence profiles mediated the relationship between a brief adherence intervention and glycemic control among patients with type 2 diabetes. Adherence was assessed using the Medication Event Monitoring System. Longitudinal analysis via growth curve mixture modeling was carried out to classify patients according to patterns of adherence to oral hypoglycemic agents. Hemoglobin A1c assays were used to measure glycemic control as the clinical outcome. Across the whole sample, longitudinal adherence profiles mediated 35.2% (13.2, 81.0%) of the effect of a brief adherence intervention on glycemic control [from odds ratio (OR) = 8.48, 95% confidence interval (CI) (3.24, 22.2) to 4.00, 95% CI (1.34, 11.93)]. Our results suggest that patients in the intervention had better glycemic control largely due to their greater likelihood of adherence to oral hypoglycemic agents.

Long-term effects of a diabetes boot cAMP on measures of diabetic care

BACKGROUND

Diabetic patients should receive self-management education to improve self-care and quality of life but are frequently unable to attend such programs because of the time commitment. We instituted an intensive 2-hour Diabetes Boot Camp to provide this education in a condensed time frame. The objective was to determine the long-term effect of the boot camp on mean hemoglobin A1c (HgA1c) levels in patients with diabetes compared to diabetic patients receiving the standard of care.

METHODS

The Diabetes Boot Camp population was defined as all diabetic patients referred to the boot camp from the 10 highest utilizing physicians between August 2009 and August 2010. A control population was randomly selected from these same physicians' diabetic patients during the same period. Baseline and postintervention HgA1c measurements on the same patients in both groups were extracted from the electronic medical record. Subpopulations studied included those with HgA1c ≥9% and <9% at baseline. To evaluate long-term effects, we compared HgA1c levels 3 years later (between July 1, 2012 and December 31, 2012) for all groups.

RESULTS

Using comparison-over-time analysis, the overall boot camp group (n=69) showed a mean decrease in HgA1c from 8.57% (SD ± 2.32%) to 7.76% (SD ± 1.85%) vs an increase from 7.92% (SD ± 1.58%) to 8.22% (SD ± 1.82%) in the control group (n=107, P<0.001). Mean length of follow-up was 3.2 (SD ± 0.54) years.

CONCLUSION

An intensive 2-hour multidisciplinary diabetes clinic was associated with significant long-term improvements in glycemic control in diabetic participants of the clinic.

Factors affecting medication adherence: patient perspectives from five veterans affairs facilities

BACKGROUND

In the United States, more than 25 million people have diabetes. Medication adherence is known to be important for disease control. However, factors that consistently predict medication adherence are unclear and the literature lacks patient perspectives on how health care systems affect adherence to oral hypoglycemic agents (OHAs). This study explored facilitators and barriers to OHA adherence by obtaining the perspectives of Veterans Affairs (VA) patients with OHA prescriptions.

METHODS

A total of 45 patients participated in 12 focus groups that explored a wide range of issues that might affect medication adherence. Participants were patients at clinics in Seattle, Washington; San Antonio, Texas; Portland, Oregon; Salem, Oregon, and Warrenton, Oregon.

RESULTS

Key system-level facilitators of OHA adherence included good overall pharmacy service and several specific mechanisms for ordering and delivering medications (automated phone refill service, Web-based prescription ordering), as well as providing pillboxes and printed lists of current medications to patients. Barriers mirrored many of the facilitators. Poor pharmacy service quality and difficulty coordinating multiple prescriptions emerged as key barriers.

CONCLUSIONS

VA patient focus groups provided insights on how care delivery systems can encourage diabetes medication adherence by minimizing the barriers and enhancing the facilitators at both the patient and system levels. Major system-level factors that facilitated adherence were overall pharmacy service quality, availability of multiple systems for reordering medications, having a person to call when questions arose, counseling about the importance of adherence and providing tools such as pillboxes and updated medication lists.

Improving the adherence of type 2 diabetes mellitus patients with pharmacy care: a systematic review of randomized controlled trials

BACKGROUND

Oral medication for patients with type 2 diabetes mellitus plays an important role in diabetes care and is associated with a high level self-care behavior and self-management. However, poor adherence to diabetes treatment is common which causes severe health complications and increased mortality. Barriers to adherence may consist of complex treatment regimens often along with long-term multi-therapies, side effects due to the medication as well as insufficient, incomprehensible or confusing information or instructions provided by the health care provider. Multidisciplinary approaches can support adherence success and can enable a more effective management of diabetes care. One approach in diabetes care can be the involvement of a pharmacist. The aim was to analyze the effectiveness of adherence-enhancing pharmacist interventions for oral medication in type 2 diabetes mellitus.

METHODS

A systematic review of randomized controlled trials. The study quality was assessed with the Cochrane risk of bias tool.

RESULTS

Of 491 hits, six publications were included. Two studies mainly examining educational interventions showed a significant improvement in adherence. Moreover, the quality of the included studies was deficient.

CONCLUSION

Although pharmacist interventions might potentially improve adherence to type 2 diabetes mellitus medication, high-quality studies are needed to assess effectiveness.