Outcomes of educational interventions in type 2 diabetes: WEKA data-mining analysis

Effects of an Exercise and Lifestyle Education Program in Brazilians living with prediabetes or diabetes: study protocol for a multicenter randomized controlled trial

BACKGROUND

Patient education is a crucial strategy for promoting prevention and diabetes self-management since glycemic control achievement involves taking medications, medical nutrition therapy, physical exercise, and behavior changes. However, patient education programs are still barely implemented in low- and middle-income countries. This trial aims to investigate whether a lifestyle education intervention added to physical exercising is superior to sole physical exercising regarding functional capacity, disease-related knowledge, health behaviors, cardiometabolic health parameters, quality of life, depression, and diet quality in individuals with prediabetes or diabetes.

METHODS

Multicenter double-blinded randomized controlled trial with two parallel arms involving 12-week intervention and 6-month follow-up. The eligible individuals (≥ 18 years, living with prediabetes or diabetes, literate, no clinical decompensation and/or physical and/or mental limitations that contraindicate physical exercising, written physician permission for exercise, no cognitive impairment, no vision limitations for reading, no confirmed diagnosis of unstable coronary disease or heart failure, no pacemaker and/or implantable cardioverter-defibrillator, no complex ventricular arrhythmias, no intermittent claudication, no recent cardiovascular event or cardiac surgery, and no currently enrolled in a structured exercise program) were recruited from two Brazilian cities and randomized to either (1) an Exercise and Lifestyle Education Program (ExLE) or (2) an Exercise Program (Ex), which can be delivered on-site or remotely based on the participants' internet access and technology literacy. The primary outcomes will be changes in functional capacity and disease-related knowledge. The secondary outcomes will involve changes in health behaviors (health literacy, physical activity level, exercise self-efficacy, and medication adherence) and cardiometabolic health parameters (glycemic control, anthropometric measures, and cardiac autonomic control). Program adherence, satisfaction with the program, diabetes-related morbidity, and changes in quality of life, depression, and diet quality will be the tertiary outcomes. Assessments will occur at baseline, post-intervention, and after 6-month follow-up.

DISCUSSION

If superior effectiveness of ExLE compared to Ex program to improve the outcomes measures is found, this program could be delivered broadly in the Brazilian health system, especially in the primary care facilities where most individuals living with prediabetes and diabetes in our country are assisted.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03914924 . Registered on April 16, 2019.

Feasibility of Remote Delivering an Exercise and Lifestyle Education Program for Individuals Living with Prediabetes and Diabetes in Brazil

This study aimed to test the feasibility of remote delivering a 12-week exercise and lifestyle education program (ExLE) or a 12-week exercise program (Ex) for individuals with prediabetes and diabetes in terms of acceptability, implementation, practicality, and limited efficacy. The programs were internet- or telephone-based delivered, depending on the participants' internet access and technology literacy. Of the 196 individuals screened, 15 were included in the study (internet-based delivery (n = 13); telephone-based delivery (n = 2)). Twelve participants completed the program they were randomized to, and most reported being satisfied with the study interventions (acceptability). Data collection procedures, weekly follow-up, study website visits, and educational materials were proper (implementation), and the adherence rate to study interventions ranged from 24% to 58% (practicality). Additionally, both programs (ExLE and Ex) seemed to promote beneficial changes in functional capacity (limited efficacy). The internet-based remote delivery of the interventions showed feasibility. Therefore, in future trials, exercise and educational interventions can be internet-based remote delivered to individuals with prediabetes and diabetes with internet access and technology literacy. In addition, some adjustments to eligibility criteria, study websites, more accessible ways of recording exercise sessions and using educational materials, and an initial supervised exercise session are recommended.

The Design of Academic Programs Using Rough Set Association Rule Mining

Program accreditation is important for determining whether or not a program or institution meets quality standards. It helps employers to evaluate the programs and qualifications of their graduates as well as to achieve its strategic goals and its continuous improvement plans. Preparing for accreditation requires extensive effort. One of the required documents is the program’s self-study report (SSR), which includes the PEO-SO map (which allocates the program’s educational objectives (PEOs) to student learning outcomes (SOs)). It influences program structure design, performance monitoring, assessment, and continuous improvement. Professionals in each academic engineering program have designed their PEO-SO maps in accordance with their experiences. The problem with the incorrect design of map design is that the SOs are either missing altogether or cannot be assigned to the correct PEOs. The objective of this work is to use a hybrid data mining approach to design the correct PEO-SO map. The proposed hybrid approach utilizes three different data mining techniques: classification to find the similarities between PEOs, crisp association rules to find the crisp rules for the PEO-SO map, and rough set association rules to find the coarse association rules for the PEO-SO map. The work collected 200 SSRs of accredited engineering programs by the ABET-EAC. The paper presents the different phases of the work, such as data collection and preprocessing, building of three data mining models (classification, crisp association rules, and rough set association rules), and analysis of the results and comparison with related work. The validation of the obtained results by different fifty specialists (from the academic engineering field) and their recommendations were also presented. The comparison with other related works proved the success of the proposed approach to discover the correct PEO-SO maps with higher performance.

The cost-effectiveness of different types of educational interventions in type II diabetes mellitus: A systematic review

Aims: Educational interventions are effective to improve peoples’ self-efficacy in managing diabetes complications and lifestyle changes. This systematic review aims to assess and compare various aspects of educational interventions and to provide updated pharmacoeconomics data.

Methods: Literature searches were conducted using databases such as EBSCOhost, Ovid, PubMed, Scopus, and Web of Science. Outcomes such as study characteristics, costs, medication adherence, effectiveness and were narratively summarized, and the quality of each article was assessed.

Results: A total of 27 studies were retrieved. The types of educational interventions were classified as face-to-face strategy, structured programs, telemedicine health education, a combination approach, and others. All types of educational interventions (N = 24, 89%) were reported to be cost-effective. The cost-effectiveness of the other two studies was considered to be not cost-effective while the outcome of one study could not be determined. The majority of the studies (N = 24, 89%) had moderate-quality evidence whereas thirteen (48%) studies were regarded to provide high-quality economic evaluations.

Conclusion: All types of educational interventions are highly likely to be cost-effective. The quality of economic evaluations is moderate but the most cost-effective types of educational interventions could not be determined due to variations in the reporting and methodological conduct of the study. A high-quality approach, preferably utilizing the societal perspective over a long period, should be standardized to conduct economic evaluations for educational interventions in T2DM.

Systematic Review Registration: website, identifier registration number.

Proteome-Based Serotyping of the Food-Borne Pathogens Salmonella Enterica by Label-Free Mass Spectrometry

Food-borne diseases caused by Salmonella enterica of 2500 serovars represent a serious public health problem worldwide. A quick identification for the pathogen serovars is critical for controlling food pollution and disease spreading. Here, we applied a mass spectrum-based proteomic profiling for identifying five epidemiologically important Salmonella enterica subsp. enterica serovars (Enteritidis, Typhimurium, London, Rissen and Derby) in China. By label-free analysis, the 53 most variable serovar-related peptides, which were almost all enzymes related to nucleoside phosphate and energy metabolism, were screened as potential peptide biomarkers, and based on which a C5.0 predicted model for Salmonella enterica serotyping with four predictor peptides was generated with the accuracy of 94.12%. In comparison to the classic gene patterns by PFGE analysis, the high-throughput proteomic fingerprints were also effective to determine the genotypic similarity among Salmonella enteric isolates according to each strain of proteome profiling, which is indicative of the potential breakout of food contamination. Generally, the proteomic dissection on Salmonella enteric serovars provides a novel insight and real-time monitoring of food-borne pathogens.

A Digital Lifestyle Program in Outpatient Treatment of Type 2 Diabetes: A Randomized Controlled Study

BACKGROUND

Lifestyle is important in type 2 diabetes mellitus (T2DM). This study's aim was to investigate whether a healthy-lifestyle-supporting smartphone application could affect treatment outcomes at an endocrinology outpatient clinic.

METHODS

Consecutively invited patients were randomly assigned to an intervention or control group after age and gender stratification. In addition to standard care, intervention group participants used a smartphone application to access a lifestyle program (SidekickHealth) through which they received personalized recommendations and education about healthy lifestyles. Tests at baseline and every other month for six months included body weight and blood tests for glycated hemoglobin (HbA1c) and blood lipids, as well as questionnaires about distress related to diabetes, health-related quality of life, depression, and anxiety. Statistics included comparisons both within and between groups.

RESULTS

A total of 37 patients (23 women) were included, whereof 30 finished, 15 in each group (19% dropout); the average age was 51.2 ± 10.6 (25-70) years. No significant differences emerged between groups, but within the intervention group, there was a significant decrease in HbA1c from 61 ± 21.4 to 52.7 ± 15.2 mmol/mol, in disease-specific distress from 19.5 ± 16.5 to 11.7 ± 13.4, and in anxiety symptoms from 5.4 ± 4.0 to 4.1 ± 3.8. No significant changes occurred within the control group. The application usage was most frequent during the first months and differed interpersonally.

CONCLUSIONS

Our results indicate that the SidekickHealth digital lifestyle program could potentially enhance outpatient treatment in T2DM, in terms of both glycemic control and psychological well-being but larger confirmative studies are needed.

The effect of web-based educational intervention on psychological status and blood glucose in newly diagnosed patients with diabetes type 2 in rural China: A protocol for randomized trial

BACKGROUND

No studies were located which used a web-based educational intervention to improve the knowledge about newly diagnosed type 2 diabetes mellitus (T2DM). Therefore, the primary objective of the present study was to evaluate the efficacy of web-based educational intervention on psychological outcomes and glycemic control in newly diagnosed T2DM in rural China.

METHODS

This work is a part of a comprehensive research project to assess and provide educational intervention that potentially improve psychological status and blood glucose among patients with T2DM. Eligibility criteria for the study includes newly diagnosed with T2DM, adult patients (age ≥30 years) regardless of gender; speak and understand Chinese languages; having no significant comorbidity; being not involved in any trial/study related to diabetes during last 3 months and able to attend regular visits. Eligible participants were divided into 2 groups according to completely randomized design: education group and control group. The outcomes included fasting blood glucose level, EQ-5D-3L questionnaire, Self-rating Anxiety Scale, and Self-rating Depression Scale.

RESULTS

This protocol will provide a reliable theoretical basis for the following research.

CONCLUSION

The sample came from a single health centre. Therefore, the results can not be generalized for the entire population.

TRIAL REGISTRATION

This study protocol was registered in Research Registry (researchregistry6511).

Supported self-management for people with type 2 diabetes: a meta-review of quantitative systematic reviews

OBJECTIVES

Self-management support aims to give people with chronic disease confidence to actively manage their disease, in partnership with their healthcare provider. A meta-review can inform policy-makers and healthcare managers about the effectiveness of self-management support strategies for people with type 2 diabetes, and which interventions work best and for whom.

DESIGN

A meta-review of systematic reviews of randomised controlled trials (RCTs) was performed adapting Cochrane methodology.

SETTING AND PARTICIPANTS

Eight databases were searched for systematic reviews of RCTs from January 1993 to October 2016, with a pre-publication update in April 2017. Forward citation was performed on included reviews in Institute for Scientific Information (ISI) Proceedings. We extracted data and assessed quality with the Revised-Assessment of Multiple Systematic Reviews (R-AMSTAR).

PRIMARY AND SECONDARY OUTCOME MEASURES

Glycaemic control as measured by glycated haemoglobin (HbA1c) was the primary outcome. Body mass Index, lipid profiles, blood pressure and quality of life scoring were secondary outcomes. Meta-analyses reporting HbA1c were summarised in meta-forest plots; other outcomes were synthesised narratively.

RESULTS

41 systematic reviews incorporating data from 459 unique RCTs in diverse socio-economic and ethnic communities across 33 countries were included. R-AMSTAR quality score ranged from 20 to 42 (maximum 44). Apart from one outlier, the majority of reviews found an HbA1c improvement between 0.2% and 0.6% (2.2-6.5 mmol/mol) at 6 months post-intervention, but attenuated at 12 and 24 months. Impact on secondary outcomes was inconsistent and generally non-significant. Diverse self-management support strategies were employed; no single approach appeared optimally effective (or ineffective). Effective programmes tended to be multi-component and provide adequate contact time (>10 hours). Technology-facilitated self-management support showed a similar impact as traditional approaches (HbA1c MD -0.21% to -0.6%).

CONCLUSIONS

Self-management interventions using a range of approaches improve short-term glycaemic control in people with type 2 diabetes including culturally diverse populations. These findings can inform researchers, policy-makers and healthcare professionals re-evaluating the provision of self-management support in routine care. Further research should consider implementation and sustainability.

The impact of cognitive impairment in dementia on self-care domains in diabetes: A systematic search and narrative review

Self-management is integral to effective chronic disease management. Cognitive impairments (CogImp) associated with dementia have not previously been reviewed in diabetes mellitus (DM) self-care. The aims of this study are to know (1) whether CogImp associated with dementia impact self-care and (2) whether specific CogImp affects key DM self-care processes. A systematic literature search with a narrative review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. This review examined studies published from January, 2000 to February, 2016 describing the relationship between cognition and DM self-care domains in community dwelling older adults with dementia/CogImp. Eight studies met inclusion criteria. Decrements in all self-care domains were associated with CogImp. Problem solving was related to reduced disease knowledge (OR 0.87, 95% CI = 0.49-1.55), resulting in poorer glycemic control. Decision-making impairments manifested as difficulties in adjusting insulin doses, leading to more hospital admissions. People without CogImp were better able to find/utilize resources by adhering to recommended management (OR 1.03, 95% CI = 1.02-1.05). A lack of interaction with health care providers was demonstrated through reduced receipt of important routine investigation including eye examinations (ARR = 0.85, 95% CI = 0.85-0.86), HbA1c testing (ARR = 0.96, 95% CI = 0.96-0.97), and LDL-C testing (ARR = 0.91, 95% CI = 0.901-0.914). People without CogImp had better clinic attendance (OR 2.17, 95% CI = 1.30-3.70). Action taking deficits were apparent through less self-testing of blood sugar levels (20.2% vs 24.4%, P = 0.1) resulting in poorer glycemic control, self-care, and more frequent micro/macrovascular complications. Persons with diabetes and CogImp, particularly in domains of learning, memory and executive function, were significantly impaired in all self-care tasks.

A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

The growing healthcare industry is generating a large volume of useful data on patient demographics, treatment plans, payment, and insurance coverage—attracting the attention of clinicians and scientists alike. In recent years, a number of peer-reviewed articles have addressed different dimensions of data mining application in healthcare. However, the lack of a comprehensive and systematic narrative motivated us to construct a literature review on this topic. In this paper, we present a review of the literature on healthcare analytics using data mining and big data. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a database search between 2005 and 2016. Critical elements of the selected studies—healthcare sub-areas, data mining techniques, types of analytics, data, and data sources—were extracted to provide a systematic view of development in this field and possible future directions. We found that the existing literature mostly examines analytics in clinical and administrative decision-making. Use of human-generated data is predominant considering the wide adoption of Electronic Medical Record in clinical care. However, analytics based on website and social media data has been increasing in recent years. Lack of prescriptive analytics in practice and integration of domain expert knowledge in the decision-making process emphasizes the necessity of future research.

The Case for Diabetes Population Health Improvement: Evidence-Based Programming for Population Outcomes in Diabetes

PURPOSE OF REVIEW

The goal of this review is to describe diabetes within a population health improvement framework and to review the evidence for a diabetes population health continuum of intervention approaches, including diabetes prevention and chronic and acute diabetes management, to improve clinical and economic outcomes.

RECENT FINDINGS

Recent studies have shown that compared to usual care, lifestyle interventions in prediabetes lower diabetes risk at the population-level and that group-based programs have low incremental medial cost effectiveness ratio for health systems. Effective outpatient interventions that improve diabetes control and process outcomes are multi-level, targeting the patient, provider, and healthcare system simultaneously and integrate community health workers as a liaison between the patient and community-based healthcare resources. A multi-faceted approach to diabetes management is also effective in the inpatient setting. Interventions shown to promote safe and effective glycemic control and use of evidence-based glucose management practices include provider reminder and clinical decision support systems, automated computer order entry, provider education, and organizational change. Future studies should examine the cost-effectiveness of multi-faceted outpatient and inpatient diabetes management programs to determine the best financial models for incorporating them into diabetes population health strategies.

Incorporating Cultural Sensitivity into Interactive Entertainment-Education for Diabetes Self-Management Designed for Hispanic Audiences

Diabetes self-management education can improve outcomes in adults with Type 2 diabetes mellitus (T2DM). However, Hispanics, a group that carries a large burden of disease, may not participate in diabetes education programs. Audience engagement with entertainment-education has been associated with improved health education outcomes and may engage and empower Hispanic users to active self-care. Successful use of entertainment-education relies on the use of characters and situations with whom the viewers can feel some sense of involvement and for Hispanic audiences is encouraged when storylines and characters are culturally sensitive. In this study, we used a mixed methods approach that included descriptive statistics of closed-ended and content analysis of open-ended questions to measure the cultural sensitivity of the telenovela portion of a novel technology-based application called Sugar, Heart, and Life (SHL). Specifically, we analyzed the responses of 123 male and female patients diagnosed with uncontrolled T2DM to determine viewer involvement with characters and situations in the telenovela, viewer perceived self-efficacy in following recommendations, as well as viewer satisfaction with the program. Our findings indicate that the SHL application achieved its goal of creating a user-friendly program that depicted realistic, culturally sensitive characters and storylines that resonated with Hispanic audiences and ultimately fostered perceived self-efficacy related to following recommendations given about healthy lifestyle changes for diabetes self-management. These findings suggest that the SHL application is a culturally sensitive health education intervention for use by Hispanic male and female individuals that may empower them in self-management of T2DM.

Characterizing patient-oriented tools that could be packaged with guidelines to promote self-management and guideline adoption: a meta-review

BACKGROUND

Self-management is an important component of care for patients or consumers (henceforth termed patients) with chronic conditions. Research shows that patients view guidelines as potential sources of self-management support. However, few guidelines provide such support. The primary purpose of this study was to characterize effective types of self-management interventions that could be packaged as resources in (i.e., appendices) or with guidelines (i.e., accompanying products).

METHODS

We conducted a meta-review of systematic reviews that evaluated self-management interventions. MEDLINE, EMBASE, and the Cochrane Library were searched from 2005 to 2014 for English language systematic reviews. Data were extracted on study characteristics, intervention (content, delivery, duration, personnel, single or multifaceted), and outcomes. Interventions were characterized by the type of component for different domains (inform, activate, collaborate). Summary statistics were used to report the characteristics, frequency, and impact of the types of self-management components. A Measurement Tool to Assess Systematic Reviews (AMSTAR) was used to assess the methodological quality of included reviews.

RESULTS

Seventy-seven studies were included (14 low, 44 moderate, 18 high risk of bias). Reviews addressed numerous clinical topics, most frequently diabetes (23, 30 %). Fifty-four focused on single (38 educational, 16 self-directed) and 21 on multifaceted interventions. Support for collaboration with providers was the least frequently used form of self-management. Most conditions featured multiple types of self-management components. The most frequently occurring type of self-management component across all studies was lifestyle advice (72 %), followed by psychological strategies (69 %), and information about the condition (49 %). In most reviews, the intervention both informed and activated patients (57, 76 %). Among the reviews that achieved positive results, 83 % of interventions involved activation alone, 94 % in combination with information, and 95 % in combination with information and collaboration. No trends in the characteristics and impact of self-management by condition were observed.

CONCLUSIONS

This study revealed numerous opportunities for enhancing guidelines with resources for both patients and providers to support self-management. This includes single resources that provide information and/or prompt activation. Further research is needed to more firmly establish the statistical association between the characteristics of self-management support and outcomes; and to and optimize the design of self-management resources that are included in or with guidelines, in particular, resources that prompt collaboration with providers.

Characteristics of nursing studies in diabetes research published over three decades in Sweden, Norway, Denmark and Iceland: a narrative review of the literature

Similarities and differences across borders of Nordic countries constitute a suitable context for investigating and discussing factors related to the development of diabetes nursing research over the last three decades. The present study reviewed the entire body of contemporary diabetes nursing research literature originating in four Nordic countries: Norway, Sweden, Denmark and Iceland. Our aims were (i) to catalogue and characterise trends in research designs and research areas of these studies published over time and (ii) to describe how research involving nurses in Nordic countries has contributed to diabetes research overall. The larger goal of our analyses was to produce a comprehensive picture of this research in order to guide future studies in the field. We conducted a narrative literature review by systematically searching Medline, Medline in process, EMBASE, CINAHL, PsycINFO and Cochrane databases. These searches were limited to studies published between 1979 and 2009 that had an abstract available in English or a Nordic language. Two researchers independently selected studies for analysis, leading to the inclusion of 164 relevant publications for analysis. In summary, Nordic nurse researchers have contributed to the development of new knowledge in self-management of diabetes in childhood, adolescence and adulthood, and to some extent also in the treatment and care of diabetes foot ulcers. Future research may benefit from (i) larger nurse-led research programmes organised in networks in order to share knowledge and expertise across national groups and borders, (ii) more multidisciplinary collaborations in order to promote patient-centred care and (iii) further research directed towards improving the dissemination and implementation of research findings. Using complex intervention designs and a mix of research methods will enrich the research.

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.

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.

A rapid synthesis of the evidence on interventions supporting self-management for people with long-term conditions: PRISMS – Practical systematic RevIew of Self-Management Support for long-term conditions

Background

Despite robust evidence concerning self-management for some long-term conditions (LTCs), others lack research explicitly on self-management and, consequently, some patient groups may be overlooked.

Aim

To undertake a rapid, systematic overview of the evidence on self-management support for LTCs to inform health-care commissioners and providers about what works, for whom, and in what contexts.

Methods

Self-management is ‘the tasks . . . individuals must undertake to live with one or more chronic conditions . . . [including] . . . having the confidence to deal with medical management, role management and emotional management of their conditions’. We convened an expert workshop and identified characteristics of LTCs potentially of relevance to self-management and 14 diverse exemplar LTCs (stroke, asthma, type 2 diabetes mellitus, depression, chronic obstructive pulmonary disease, chronic kidney disease, dementia, epilepsy, hypertension, inflammatory arthropathies, irritable bowel syndrome, low back pain, progressive neurological disorders and type 1 diabetes mellitus). For each LTC we conducted systematic overviews of systematic reviews of randomised controlled trials (RCTs) of self-management support interventions (‘quantitative meta-reviews’); and systematic overviews of systematic reviews of qualitative studies of patients’ experiences relating to self-management (‘qualitative meta-reviews’). We also conducted an original systematic review of implementation studies of self-management support in the LTCs. We synthesised all our data considering the different characteristics of LTCs. In parallel, we developed a taxonomy of the potential components of self-management support.

Results

We included 30 qualitative systematic reviews (including 515 unique studies), 102 quantitative systematic reviews (including 969 RCTs), and 61 studies in the implementation systematic review. Effective self-management support interventions are multifaceted, should be tailored to the individual, their culture and beliefs, a specific LTC and position on the disease trajectory, and underpinned by a collaborative/communicative relationship between the patient and health-care professional (HCP) within the context of a health-care organisation that actively promotes self-management. Self-management support is a complex intervention and although many components were described and trialled in the studies no single component stood out as more important than any other. Core components include (1) provision of education about the LTC, recognising the importance of understanding patients’ pre-existing knowledge and beliefs about their LTC; (2) psychological strategies to support adjustment to life with a LTC; (3) strategies specifically to support adherence to treatments; (4) practical support tailored to the specific LTC, including support around activities of daily living for disabling conditions, action plans in conditions subject to marked exacerbations, intensive disease-specific training to enable self-management of specific clinical tasks; and (5) social support as appropriate. Implementation requires a whole-systems approach which intervenes at the level of the patient, the HCP and the organisation. The health-care organisation is responsible for providing the means (both training and time/material resources) to enable HCPs to implement, and patients to benefit from, self-management support, regularly evaluating self-management processes and clinical outcomes. More widely there is a societal need to address public understanding of LTCs. The lack of public story for many conditions impacted on patient help-seeking behaviour and public perceptions of need.

Conclusions

Supporting self-management is inseparable from the high-quality care for LTCs. Commissioners and health-care providers should promote a culture of actively supporting self-management as a normal, expected, monitored and rewarded aspect of care. Further research is needed to understand how health service managers and staff can achieve this culture change in their health-care organisations.

Study registration

This study is registered as PROSPERO CRD42012002898.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

State of the science: diabetes self-management interventions led by nurse principal investigators

Over the past decade, diabetes self-management (DSM) interventions have become increasingly heterogeneous to address the needs of diverse populations. The purpose of this integrative review is to summarize the state of the science regarding DSM interventions led by nurse principal investigators. The Preferred Reporting Items of Systematic Reviews and Meta-Analyses framework informed identification, selection, and appraisal of the literature. A total of 44 national and international studies (RCTs [randomized controlled trial] and quasi-experimental studies) were identified for inclusion. Across national studies, diverse ethnic groups (Latinos, African Americans, Asians, and Native Americans) were most frequently sampled (67%). Review findings identified (a) DSM intervention typologies (primary DSM intervention, DSM reinforcement intervention, and primary DSM intervention plus reinforcement intervention) and selection of blended or bundled intervention components; (b) DSM intervention translation to community-based, electronic, and home settings; and (c) DSM intervention delivery (interventionists, dosages, and fidelity).

A pragmatic comparison of two diabetes education programs in improving type 2 diabetes mellitus outcomes

Background

Although it is clear that education programs constitute key elements of improved diabetes management, uncertainty exists regarding the optimal method of delivering that education. In addition to the lack of consensus regarding the most appropriate delivery methods for these programs, there is a paucity of research which evaluates these methods in terms of specific clinical outcomes. This pragmatic study compares the effectiveness of two distinct diabetes education programs in improving clinical outcomes in patients with type 2 diabetes mellitus in a primary care setting.

Results

The two diabetes education classes (n = 80 enrolled) retrospectively evaluated were ‘the ABC’s of Diabetes’ (one 2-hour didactic teaching session) and ‘Conversation Maps’ (3 highly interactive weekly classes, 6 hours in total). Eligible participants (n = 32) had their charts reviewed and outcome measures (i.e., glycosylated hemoglobin levels (HbA1c), low density lipoprotein (LDL), systolic blood pressure (SBP), diastolic blood pressure (DBP), and weight) recorded 1 year prior to and 6 months following the class. Pre- and post-class outcome measures were compared. A trend towards lower HbA1c was observed after completion of both classes, with an average reduction of 0.2%, and 0.6% after 6 months in the ‘ABC’s of Diabetes’ class and ‘Conversation Maps’ class respectively. A significant decrease in weight was observed 6 months after the ‘ABC’s of Diabetes’ class (p = 0.028), and in LDL after the ‘Conversation Maps’ class (p = 0.049). Patients with HbA1c ≥ 8% showed a drop of 1.1% in HbA1c 3 months after either class (p = 0.004).

Conclusions

No significant difference in outcomes was found between the two diabetes education classes assessed. There was a trend towards improved glycemic control after both classes, and patients with high HbA1c levels demonstrated statistically significant improvements. This indicates that shorter sessions using didactic teaching methods may be equally effective in producing improvements in diabetes self-management as more intensive course formats.

Is adherence a relevant issue in the self-management education of diabetes? A mixed narrative review

While therapeutic patient education is now recognized as essential for optimizing the control of chronic diseases and patient well-being, adherence to treatment and medical recommendations is still a matter of debate. In type 2 diabetes, the nonadherence to therapy, estimated at more than 40%, is perceived as a barrier for improving the prognosis despite recent therapeutic advances. Interventional studies have barely begun to demonstrate the effectiveness of technical and behavioral actions. The aim of this review is to question the concept of adherence in terms of therapeutic education based on quantitative and qualitative data. The research on therapeutic education has shown the effectiveness of structured actions in type 2 diabetes, but adherence is rarely an end point in randomized trials. A positive but inconsistent or moderate effect of education actions on adherence has been shown in heterogeneous studies of varying quality. Program types, outlines, theoretical bases, and curricula to set up for action effectiveness are still being discussed. Qualitative studies, including sociological studies, provide a useful and constructive focus on this perspective. Adherence is a soft and flexible tool available to the patient in his/her singular chronic disease trajectory, and as such, integrates into individual therapeutic strategies, including socio-cultural interactions, beyond the medical explanation of the disease and the patient. Four key elements for the development of structured therapeutic education are discussed: 1) the access to health literacy, 2) the contextualization of education activities, 3) the long-term chronic dimension of self-management, and 4) the organizational aspects of health and care. Rather than focusing the objective on behavioral changes, structured therapeutic education actions should attempt to provide tools and resources aimed at helping individuals to manage their disease in their own context on a long-term basis, by developing health literacy and relational and organizational aspects of the health professionals and system.

Detecting intentional insulin omission for weight loss in girls with type 1 diabetes mellitus

OBJECTIVE

Intentional insulin omission is a unique inappropriate compensatory behavior that occurs in patients with type 1 diabetes mellitus, mostly in females, who omit or restrict their required insulin doses in order to lose weight. Diagnosis of this underlying disorder is difficult. We aimed to use clinical and laboratory criteria to create an algorithm to assist in the detection of intentional insulin omission.

METHOD

The distribution of HbA1c levels from 287 (181 females) patients with type 1 diabetes were used as reference. Data from 26 patients with type 1 diabetes and intentional insulin omission were analysed. The Weka (Waikato Environment for Knowledge Analysis) machine learning software, decision tree classifier with 10-fold cross validation was used to developed prediction models. Model performance was assessed by cross-validation in a further 43 patients.

RESULTS

Adolescents with intentional insulin omission were discriminated by: female sex, HbA1c>9.2%, more than 20% of HbA1c measurements above the 90th percentile, the mean of 3 highest delta HbA1c z-scores>1.28, current age and age at diagnosis. The models developed showed good discrimination (sensitivity and specificity 0.88 and 0.74, respectively). The external test dataset revealed good performance of the model with a sensitivity and specificity of 1.00 and 0.97, respectively.

DISCUSSION

Using data mining methods we developed a clinical prediction model to determine an individual's probability of intentionally omitting insulin. This model provides a decision support system for the detection of intentional insulin omission for weight loss in adolescent females with type 1 diabetes mellitus.

Use of sentiment analysis for capturing patient experience from free-text comments posted online

BACKGROUND

There are large amounts of unstructured, free-text information about quality of health care available on the Internet in blogs, social networks, and on physician rating websites that are not captured in a systematic way. New analytical techniques, such as sentiment analysis, may allow us to understand and use this information more effectively to improve the quality of health care.

OBJECTIVE

We attempted to use machine learning to understand patients' unstructured comments about their care. We used sentiment analysis techniques to categorize online free-text comments by patients as either positive or negative descriptions of their health care. We tried to automatically predict whether a patient would recommend a hospital, whether the hospital was clean, and whether they were treated with dignity from their free-text description, compared to the patient's own quantitative rating of their care.

METHODS

We applied machine learning techniques to all 6412 online comments about hospitals on the English National Health Service website in 2010 using Weka data-mining software. We also compared the results obtained from sentiment analysis with the paper-based national inpatient survey results at the hospital level using Spearman rank correlation for all 161 acute adult hospital trusts in England.

RESULTS

There was 81%, 84%, and 89% agreement between quantitative ratings of care and those derived from free-text comments using sentiment analysis for cleanliness, being treated with dignity, and overall recommendation of hospital respectively (kappa scores: .40-.74, P<.001 for all). We observed mild to moderate associations between our machine learning predictions and responses to the large patient survey for the three categories examined (Spearman rho 0.37-0.51, P<.001 for all).

CONCLUSIONS

The prediction accuracy that we have achieved using this machine learning process suggests that we are able to predict, from free-text, a reasonably accurate assessment of patients' opinion about different performance aspects of a hospital and that these machine learning predictions are associated with results of more conventional surveys.

Testing the efficacy of culturally adapted coping skills training for Chinese American immigrants with type 2 diabetes using community-based participatory research

Chinese Americans demonstrate greater prevalence of diabetes than non-Hispanic whites and find standard diabetes care disregards their cultural health beliefs. Academic researchers and Chinatown agencies collaborated to culturally adapt and test an efficacious cognitive-behavioral intervention using community-based participatory research. Using a delayed-treatment repeated-measures design, 145 adult Chinese immigrants with Type 2 diabetes completed treatment. Immediate benefits of treatment were evident in the improvement (p < .05) in diabetes self-efficacy, diabetes knowledge, bicultural efficacy, family emotional and instrumental support, diabetes quality of life, and diabetes distress. Prolonged benefits were evident in all changed variables 2 months post-intervention. The CBPR approach enabled the development of a culturally acceptable, efficacious behavioral intervention, and provides a model for working with communities that demonstrate health disparities.

Diabetes self-management education: miles to go

This meta-analysis assessed how successfully Diabetes Self-Management Education (DSME) interventions help people with type 2 diabetes achieve and maintain healthy blood glucose levels. We included 52 DSME programs with 9,631 participants that reported post-intervention A1c levels in randomized controlled trials. The training conditions resulted in significant reductions in A1c levels compared to control conditions. However, the impact of intervention was modest shifting of only 7.23% more participants from diabetic to pre-diabetic or normal status, relative to the control condition. Most intervention participants did not achieve healthy A1c levels. Further, few DSME studies assessed long-term maintenance of A1c gains. Past trends suggest that gains are difficult to sustain over time. Our results suggested that interventions delivered by nurses were more successful than those delivered by non-nursing personnel. We suggest that DSME programs might do better by going beyond procedural interventions. Most DSME programs relied heavily on rules and procedures to guide decisions about diet, exercise, and weight loss. Future DSME may need to include cognitive self-monitoring, diagnosis, and planning skills to help patients detect anomalies, identify possible causes, generate corrective action, and avoid future barriers to maintaining healthy A1c levels. Finally, comprehensive descriptions of DSME programs would advance future efforts.

Data-mining technologies for diabetes: a systematic review

BACKGROUND

The objective of this study is to conduct a systematic review of applications of data-mining techniques in the field of diabetes research.

METHOD

We searched the MEDLINE database through PubMed. We initially identified 31 articles by the search, and selected 17 articles representing various data-mining methods used for diabetes research. Our main interest was to identify research goals, diabetes types, data sets, data-mining methods, data-mining software and technologies, and outcomes.

RESULTS

The applications of data-mining techniques in the selected articles were useful for extracting valuable knowledge and generating new hypothesis for further scientific research/experimentation and improving health care for diabetes patients. The results could be used for both scientific research and real-life practice to improve the quality of health care diabetes patients.

CONCLUSIONS

Data mining has played an important role in diabetes research. Data mining would be a valuable asset for diabetes researchers because it can unearth hidden knowledge from a huge amount of diabetes-related data. We believe that data mining can significantly help diabetes research and ultimately improve the quality of health care for diabetes patients.

Urinary protein as a marker for systolic blood pressure reduction in patients with type 2 diabetes mellitus participating in an in-hospital diabetes education program

Increased blood pressure (BP) and urinary protein (UP)/microalbuminuria are risk factors for cardiovascular disease in patients with diabetes. Although the management of BP in patients with diabetes should involve a multidisciplinary therapy, there are no reports in which modulators have been identified in an in-hospital diabetes education program. The aim of the present study was to investigate the change in BP levels in patients with type 2 diabetes mellitus (T2DM) during a short-term (2-week) in-hospital education program on lifestyle modifications. A total of 167 patients with T2DM (101 men, 66 women; mean age, 61.1 years; glycated hemoglobin, 9.2%) were divided into 2 groups on the basis of their urinary albumin levels: 1 group without UP (urinary albumin level < 30 mg/day) and 1 group with UP (urinary albumin level ≥ 30 mg/day). We defined efficacy in reducing BP as a 20-mm Hg reduction in systolic BP (SBP) and a 10-mm Hg reduction in diastolic BP, and compared the changes between the 2 groups. Although the group with UP had higher SBP levels than the group without UP at baseline, this difference disappeared at the end of the program. Adjusted multivariate logistic regression analysis showed that UP at baseline was associated with a reduction in SBP (odds ratio, 3.361; 95% confidence interval, 1.29-8.79; P = 0.013). The data suggest that UP may be a marker related to the management of SBP through lifestyle modifications in patients with T2DM.

[Improvement of control in subjects with type 2 diabetes after a joint intervention: diabetes education and physical activity]

OBJECTIVE

To study the improvement of metabolic control and cardiovascular risk factors, adherence, self-monitoring, self-care, attitudes and motivation in subjects with Type 2 Diabetes (DM2) in a specific Health Care Area after group intervention through the community: diabetes education (DE) and physical exercise (PE).

DESIGN

A single blind, randomised controlled clinical trial.

INTERVENTION

group 1: DE; group 2: ED and PE; group 3: only PE, and "control" group-4: Individual consultations.

LOCATION

Urban health centre/municipal sports centre.

PARTICIPANTS

108 DM2, age: 40-70, glycated haemoglobin (HbA(1)c) ≤ 8.5%, blood pressure (BP)<160/90 and body mass index (BMI)<45, excluding those with chronic complications and/or acute decompensation.

INTERVENTIONS

During 6 months, 8 workshops were held for group education and monitored aerobic physical exercise of moderate intensity (3 hours a week).

MAIN MEASUREMENTS

Primary variable pre- and post- intervention: reduction in HbA(1)c; other variables: examination and analytical data, therapeutic compliance, self-monitoring, self-care, attitudes and motivation (DAS-3SP survey).

RESULTS

After intervention, more diabetics had a lower HbA(1)c following a full intervention: "DE" and "PE", RR: 1.93 (0.85-4.40) and exercise, RR: 1.56 (0.65-3.76). With simultaneous DE and PE, the BMI, RR: 1.61 (0.85-3.03) and LDL cholesterol, RR: 1.82 (0.99-3.36), of many subjects decreased. Dietary compliance, RR: 1.29 (0.32-5.22) and exercise, RR: 1.93 (0.76-4.91) also increased, more patients performing their own checks, RR: 3.86 (0.90-16.55) and improving motivation/attitudes in "strict control management", RR: 1.48 (0.94-2.34). With PE, systolic and diastolic BP decreased in more patients RR: 1.35 (0.72-2.52), 1.87 (0.72-4.84) while in the DE group only diastolic values decreased 1.80 (0.69-4.67).

CONCLUSIONS

Patient conditions improve more with the combination of DE and PE, though the results are not statistically significant, probably due to insufficient sample size.

Data mining in healthcare and biomedicine: a survey of the literature

As a new concept that emerged in the middle of 1990's, data mining can help researchers gain both novel and deep insights and can facilitate unprecedented understanding of large biomedical datasets. Data mining can uncover new biomedical and healthcare knowledge for clinical and administrative decision making as well as generate scientific hypotheses from large experimental data, clinical databases, and/or biomedical literature. This review first introduces data mining in general (e.g., the background, definition, and process of data mining), discusses the major differences between statistics and data mining and then speaks to the uniqueness of data mining in the biomedical and healthcare fields. A brief summarization of various data mining algorithms used for classification, clustering, and association as well as their respective advantages and drawbacks is also presented. Suggested guidelines on how to use data mining algorithms in each area of classification, clustering, and association are offered along with three examples of how data mining has been used in the healthcare industry. Given the successful application of data mining by health related organizations that has helped to predict health insurance fraud and under-diagnosed patients, and identify and classify at-risk people in terms of health with the goal of reducing healthcare cost, we introduce how data mining technologies (in each area of classification, clustering, and association) have been used for a multitude of purposes, including research in the biomedical and healthcare fields. A discussion of the technologies available to enable the prediction of healthcare costs (including length of hospital stay), disease diagnosis and prognosis, and the discovery of hidden biomedical and healthcare patterns from related databases is offered along with a discussion of the use of data mining to discover such relationships as those between health conditions and a disease, relationships among diseases, and relationships among drugs. The article concludes with a discussion of the problems that hamper the clinical use of data mining by health professionals.

Alcohol consumption and diabetes risk in the Diabetes Prevention Program

BACKGROUND

Moderate alcohol consumption is associated with a decreased risk of type 2 diabetes in the general population, but little is known about the effects in individuals at high risk of diabetes.

OBJECTIVES

The objectives were to determine associations between alcohol consumption and diabetes risk factors and whether alcohol consumption was a predictor of incident diabetes in individuals enrolled in the Diabetes Prevention Program (DPP).

DESIGN

DPP participants (n = 3175) had impaired glucose tolerance (2-h glucose: 7.8-11.1 mmol/L), elevated fasting glucose (5.3-7.0 mmol/L), and a body mass index (in kg/m(2)) > or =24. Participants were randomly assigned to placebo, metformin, or lifestyle modification and were followed for a mean of 3.2 y. Alcohol intake was assessed at baseline and year 1 by using a semiquantitative food-frequency questionnaire. Diabetes was diagnosed by annual oral-glucose-tolerance testing and semiannual fasting plasma glucose measurement.

RESULTS

Participants who reported higher alcohol consumption tended to be male, older, white, and less obese and to have a higher calorie intake and a higher HDL-cholesterol concentration. Higher alcohol consumption was associated with lower insulin secretion at any level of insulin sensitivity. We found lower incidence rates of diabetes with higher alcohol consumption in the metformin (P < 0.01 for trend) and lifestyle modification (P = 0.02 for trend) groups, which remained significant after adjustment for multiple baseline covariates. No similar association was observed in the placebo group.

CONCLUSIONS

Despite overall low rates of alcohol consumption, there was a reduced risk of incident diabetes in those who reported modest daily alcohol intake and were assigned to metformin or lifestyle modification. Moderate daily alcohol intake is associated with lower insulin secretion-an effect that warrants further investigation. This trial was registered at clinicaltrials.gov as NCT00038727.

Experience from a behavioural medicine intervention among poorly controlled adult type 1 diabetes patients

AIM

To describe experience from a behavioural medicine intervention among poorly controlled adult type 1 diabetes patients, in terms of feasibility, predictors and associations of improved glycaemic control.

METHODS

Data were collected on 94 poorly controlled adult type 1 diabetes patients who were randomised to a study evaluating the effects of a behavioural medicine intervention. Statistics covered descriptive and comparison analysis. Backward stepwise regression models were used for predictive and agreement analyses involving socio-demographic and medical factors, as well as measures of diabetes self-efficacy (DES), diabetes locus of control (DLOC), self-care activities (SDSCA), diabetes-related distress (Swe-PAID-20), fear of hypoglycaemia (HFS), well-being (WBQ), depression (HAD) and perceived stress (PSS).

RESULTS

The participation rate in the study was 41% and attrition was 24%. Of those patients actually participating in the behavioural medicine intervention, 13% withdrew. From the regression models no predictors or associations of improvement in HbA(1c) were found.

CONCLUSIONS

The programme proved to be feasible in terms of design and methods. However, no clear pattern was found regarding predictors or associations of improved metabolic control as the response to the intervention. Further research in this area is called for.

Meta-analysis of quality of life outcomes following diabetes self-management training

PURPOSE

The purpose of this meta-analysis was to meet the need to quantify the influence of diabetes self-management training on quality of life (QOL) of adult diabetes patients.

METHODS

Extensive literature searching located published and unpublished diabetes self-management intervention studies that measured QOL outcomes among at least 5 subjects with type 1 or 2 diabetes. Data were extracted from primary study reports which included interventions designed to improve diabetes self-management and adequate data to calculate effect sizes. Random-effects meta-analytic procedures were used to estimate overall effects between treatment and control groups at outcome assessment and between baseline and outcome data for both treatment subjects and control subjects.

RESULTS

Exhaustive searching yielded 20 comparisons across 1892 subjects. The comparisons between treatment and control group outcomes following interventions yielded an effect size of 0.281. The comparisons between treatment group at baseline and outcome measurement yielded an effect size of 0.312 to 0.313. Each of these effect sizes were statistically significant, meaning that the hypothesis that interventions to improve diabetes self-management results in increased QOL was supported. Control subjects did not experience improved QOL while participating in studies.

CONCLUSIONS

These findings document that people with diabetes experience improved QOL from participation in diabetes self-management training programs. Future diabetes self-management intervention studies should include quality of life outcomes so that this important outcome can be further studied. After more primary studies are available, future meta-analyses can explore important moderator analyses.

Who is providing and who is getting asthma patient education: an analysis of 2001 National Ambulatory Medical Care Survey data

Patient education in asthma management is important; however, there is little known about the characteristics of patients receiving asthma education or how often primary care physicians provide it. The objective of the study was to identify the characteristics of patients receiving asthma education. It was a cross-sectional study using 2001 National Ambulatory Medical Care Survey data. The study included 1230 physicians providing office-based ambulatory medical care in the United States. Patients in the study (weighted n=11,279,952) were those diagnosed with asthma based on International Classification of Diseases, 9th Revision code receiving care from a pediatrician, internist or a family physician. Main and secondary outcome measures were asthma education ordered or provided. Multivariate analysis indicated that asthma patients receiving education were more likely to have office visits >20 min [odds ratio (OR) = 3.934], be seen for an acute reason (OR = 2.268), be seen in follow-up rather than an initial visit (OR = 1.780), live in rural rather than metropolitan areas (OR = 1.507), have public rather than private insurance (OR = 1.276) and be seen in privately owned practices (OR = 1.248). Bivariate analyses indicated that patients seeing family physicians were more likely than those seeing internists or pediatricians to receive education. Patient education was not uniformly provided. Family physicians provided more asthma education than either pediatricians or internists. Future research should investigate the quality of education provided.

Peer advisers compared with specialist health professionals in delivering a training programme on self-management to people with diabetes: a randomized controlled trial

AIMS

To assess the effectiveness and acceptability of peer advisers in diabetes in delivering a programme of training on self-management for people with diabetes.

METHODS

Adults with diabetes were randomly allocated to an education programme delivered either by trained peer advisers or by specialist health professionals. The primary outcome measure was change in knowledge tested before and at the conclusion of the four courses, each consisting of six sessions. Glycated haemoglobin and Diabetes Care Profile were assessed at baseline and at 6 months. Sessional and end-of-course evaluation responses were analysed, as was the attendance record.

RESULTS

Eighty-three patients were randomized. Of these, 14 failed to attend and two were excluded. Knowledge scores improved significantly in both groups, but there was no difference between the groups for any of the knowledge domains. No difference was noted in the Diabetes Care Profiles or in glycated haemoglobin. The attendance record was similar in both groups. In the post-sessional evaluations, both groups scored highly, with the health professionals significantly more so. The post-course questionnaire exploring patients' understanding and confidence in self-management of specific aspects of diabetes care revealed no difference between the groups.

CONCLUSIONS

Trained patients are as effective in imparting knowledge to their peers as specialist health professionals. Both are also acceptable to patients as trainers. However, lay tutors require to be given appropriate training, specific to the education programme they would be expected to deliver.

The Current State of Cough Research: The Clinician’s Perspective

Cough is one of the most common reasons for medical consultation and it is responsible for a large human and socioeconomic burden. Current guidelines provide a useful framework for cough management and summarize current knowledge of causes and optimal testing sequences and treatments of cough. However, research is needed on the role of noninvasive airway inflammation measurement in assessing etiology; optimal treatment of postinfectious cough or cough due to gastroesophageal reflux disease; protussive treatment; causes of chronic cough in immunocompromised hosts; and characteristics and management of psychogenic cough. The effects of the use or nonuse of evidence-based guidelines should be documented. An empiric, integrative approach to management of chronic cough also needs further validation.