The effect of integrated health management model on the health of older adults with diabetes in a randomized controlled trial

Effectiveness of Integrated Care for Diabetes Mellitus Type 2, Cardiovascular and Chronic Respiratory Diseases: A Systematic Review and Meta-Analysis

Introduction

In this paper, we use the Rainbow Model of Integrated Care (RMIC) framework to evaluate the effectiveness of integrated care in terms of enhancing the outcomes of chronic conditions such as diabetes mellitus type 2 (DMT2), cardiovascular diseases (CVD), chronic respiratory diseases (CRD), or their combinations.

Methods

The data extracted from randomized controlled trials (RCT) of integrated care interventions for DMT2, CVD, and CRD (follow-up ≥ 3 months) in 11 databases were analysed using random-effects meta-analysis.

Results

A total of 54 eligible studies covering 12,976 participants, with a mean follow-up of 54 weeks, were included. In moderate-quality evidence, integrated care interventions reduced mortality for CVD, adverse events for CVD and DMT2, and improved quality of life for CVD and DMT2, physical and mental functioning, self-management, and blood pressure control.

Conclusion

Integrated care can reduce all-cause mortality, adverse events, and improve quality of life, physical and mental functioning, self-management and blood pressure control in chronic disease patients. However, available evidence for some outcomes (e.g., all-cause hospital admissions) remains uncertain.

Exploring intersectoral collaboration in diabetes care: A positioning theoretical perspective

Intersectoral collaboration (IC) plays a significant role in the delivery of diabetes care and treatment of patients with type 2 diabetes (DM2), as the treatment and care of these patients take place in both primary care and specialist settings. The collaboration involves a large number of actors from primary and secondary healthcare sectors, who are expected to fulfil various roles when they engage in IC. We explored the actors' roles by applying the framework of positioning theory with the aim of revealing seemingly embedded understandings of such roles. The empirical data consisted of individual and focus group interviews. Our results indicate that naturalised understandings of the roles of actors interact with the way in which health professionals, patients, managers and relatives strive to develop IC that aims to help and guide patients who live with DM2.

Satisfaction of health informatics professionals with Ethiopian health system: the case of three zones in Ethiopia

BACKGROUND

The importance of the health information system faces multiple challenges such as supply, acceptance, and pressure from other professions in Ethiopia. Work-related challenges might cause low professional satisfaction and hinder service provision. There is a paucity of evidence for policy decisions to improve these challenges. Therefore, this study aims to assess Health Informatics professional satisfaction in the Ethiopian health system and associated factors to provide evidence for future improvements.

METHODS

We conducted an institutions-based cross-sectional study on health informatics professionals in three zones in Southern Ethiopia in 2020. We used a simple random sampling technique to select 215 participants. The local health officials were contacted regarding the research questions, and letters of permission were collected for data collection.

RESULTS

Out of 211(98%) Health Informatics professionals who accepted the interview, 50.8% (95%CI: 47.74%-53.86%) were satisfied. Age (AOR = 0.57; 95% CI: 0.53, 0.95), experience (AOR = 5; 95% CI: 1.50, 19.30), working time (AOR = 1.35; 95% CI: 1.10, 1.70), working as HMIS officers (AOR 2.30; 95% CI: 3.80, 13), single marital status (AOR = 9.60; 95% CI: 2.88, 32), and urban residence (AOR = 8.10; 95% CI: 2.95, 22) were some of the associated factors.

CONCLUSIONS

We found low satisfaction among health informatics professionals compared to other studies. It was suggested that the responsible bodies must keep experienced professionals and reduce pressure from other professions through panel discussions. Work departments and working hours need consideration, as they are the determinants of satisfaction. Improving educational opportunities and career structure is the potential implication area.

Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes

BACKGROUND

There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision-makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations.

OBJECTIVES

To update existing systematic reviews of diabetes QI programmes and apply novel meta-analytical techniques to estimate the effectiveness of QI strategies (individually and in combination) on diabetes quality of care.

SEARCH METHODS

We searched databases (CENTRAL, MEDLINE, Embase and CINAHL) and trials registers (ClinicalTrials.gov and WHO ICTRP) to 4 June 2019. We conducted a top-up search to 23 September 2021; we screened these search results and 42 studies meeting our eligibility criteria are available in the awaiting classification section.

SELECTION CRITERIA

We included randomised trials that assessed a QI programme to improve care in outpatient settings for people living with diabetes. QI programmes needed to evaluate at least one system- or provider-targeted QI strategy alone or in combination with a patient-targeted strategy. - System-targeted: case management (CM); team changes (TC); electronic patient registry (EPR); facilitated relay of clinical information (FR); continuous quality improvement (CQI). - Provider-targeted: audit and feedback (AF); clinician education (CE); clinician reminders (CR); financial incentives (FI). - Patient-targeted: patient education (PE); promotion of self-management (PSM); patient reminders (PR). Patient-targeted QI strategies needed to occur with a minimum of one provider or system-targeted strategy.

DATA COLLECTION AND ANALYSIS

We dual-screened search results and abstracted data on study design, study population and QI strategies. We assessed the impact of the programmes on 13 measures of diabetes care, including: glycaemic control (e.g. mean glycated haemoglobin (HbA1c)); cardiovascular risk factor management (e.g. mean systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), proportion of people living with diabetes that quit smoking or receiving cardiovascular medications); and screening/prevention of microvascular complications (e.g. proportion of patients receiving retinopathy or foot screening); and harms (e.g. proportion of patients experiencing adverse hypoglycaemia or hyperglycaemia). We modelled the association of each QI strategy with outcomes using a series of hierarchical multivariable meta-regression models in a Bayesian framework. The previous version of this review identified that different strategies were more or less effective depending on baseline levels of outcomes. To explore this further, we extended the main additive model for continuous outcomes (HbA1c, SBP and LDL-C) to include an interaction term between each strategy and average baseline risk for each study (baseline thresholds were based on a data-driven approach; we used the median of all baseline values reported in the trials). Based on model diagnostics, the baseline interaction models for HbA1c, SBP and LDL-C performed better than the main model and are therefore presented as the primary analyses for these outcomes. Based on the model results, we qualitatively ordered each QI strategy within three tiers (Top, Middle, Bottom) based on its magnitude of effect relative to the other QI strategies, where 'Top' indicates that the QI strategy was likely one of the most effective strategies for that specific outcome. Secondary analyses explored the sensitivity of results to choices in model specification and priors.  Additional information about the methods and results of the review are available as Appendices in an online repository. This review will be maintained as a living systematic review; we will update our syntheses as more data become available.

MAIN RESULTS

We identified 553 trials (428 patient-randomised and 125 cluster-randomised trials), including a total of 412,161 participants. Of the included studies, 66% involved people living with type 2 diabetes only. Participants were 50% female and the median age of participants was 58.4 years. The mean duration of follow-up was 12.5 months. HbA1c was the commonest reported outcome; screening outcomes and outcomes related to cardiovascular medications, smoking and harms were reported infrequently. The most frequently evaluated QI strategies across all study arms were PE, PSM and CM, while the least frequently evaluated QI strategies included AF, FI and CQI. Our confidence in the evidence is limited due to a lack of information on how studies were conducted.  Four QI strategies (CM, TC, PE, PSM) were consistently identified as 'Top' across the majority of outcomes. All QI strategies were ranked as 'Top' for at least one key outcome. The majority of effects of individual QI strategies were modest, but when used in combination could result in meaningful population-level improvements across the majority of outcomes. The median number of QI strategies in multicomponent QI programmes was three.  Combinations of the three most effective QI strategies were estimated to lead to the below effects:  - PR + PSM + CE: decrease in HbA1c by 0.41% (credibility interval (CrI) -0.61 to -0.22) when baseline HbA1c < 8.3%; - CM + PE + EPR: decrease in HbA1c by 0.62% (CrI -0.84 to -0.39) when baseline HbA1c > 8.3%;  - PE + TC + PSM: reduction in SBP by 2.14 mmHg (CrI -3.80 to -0.52) when baseline SBP < 136 mmHg; - CM + TC + PSM: reduction in SBP by 4.39 mmHg (CrI -6.20 to -2.56) when baseline SBP > 136 mmHg;  - TC + PE + CM: LDL-C lowering of 5.73 mg/dL (CrI -7.93 to -3.61) when baseline LDL < 107 mg/dL; - TC + CM + CR: LDL-C lowering by 5.52 mg/dL (CrI -9.24 to -1.89) when baseline LDL > 107 mg/dL. Assuming a baseline screening rate of 50%, the three most effective QI strategies were estimated to lead to an absolute improvement of 33% in retinopathy screening (PE + PR + TC) and 38% absolute increase in foot screening (PE + TC + Other).

AUTHORS' CONCLUSIONS

There is a significant body of evidence about QI programmes to improve the management of diabetes. Multicomponent QI programmes for diabetes care (comprised of effective QI strategies) may achieve meaningful population-level improvements across the majority of outcomes. For health system decision-makers, the evidence summarised in this review can be used to identify strategies to include in QI programmes. For researchers, this synthesis identifies higher-priority QI strategies to examine in further research regarding how to optimise their evaluation and effects. We will maintain this as a living systematic review.

Effectiveness of a Cluster Randomized Controlled Trial Involving Community-Based Intervention for Older Adults With Type 2 Diabetes Mellitus in Singapore

Purpose:

The purpose of the study was to investigate the effectiveness of a community-based intervention on improving knowledge about diabetes, self-care behaviors, and glycemic control among older adults with type 2 diabetes mellitus (T2DM) in Singapore, a country in Asia with a high prevalence of diabetes.

Methods:

A 3-arm cluster randomized controlled trial involving community-dwelling older adults ages 55 to 99 with T2DM was conducted. Intervention group 1 and 2 participants received a 12-session intervention program designed to teach knowledge and practical skills in diabetes self-care with psychological techniques for behavioral change like problem solving, goal setting, and motivational interviewing. In addition, intervention group 2 participants received a glucometer and a supply of accessories each. The control group received routine care from their health care providers.

Results:

Compared to the control group, intervention group 2 reported an increase in medication adherence and self-monitoring of blood glucose (SMBG) at 3-month follow-up and increased knowledge about diabetes and self-care behavior in general diet control at 6-month follow-up.

Conclusions:

The community-based intervention should be extended to more older adults with T2DM in the community. Glucometers and accessories could be provided at subsidized rates or be made free contingent on older adults’ income status to overcome the barrier of performing SMBG.

Effectiveness of Therapeutic Patient Education Interventions in Obesity and Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Diabetes mellitus (DM) and obesity account for the highest burden of non-communicable diseases. There is increasing evidence showing therapeutic patient education (TPE) as a clinically and cost-effective solution to improve biomedical and psychosocial outcomes among people with DM and obesity. The present systematic review and meta-analysis present a critical synthesis of the development of TPE interventions for DM and obesity and the efficacy of these interventions across a range of biomedical, psychosocial and psychological outcomes. A total of 54 of these RCTs were identified among patients with obesity and diabetes and were thus qualitatively synthesized. Out of these, 47 were included in the quantitative synthesis. There was substantial heterogeneity in the reporting of these outcomes (I2 = 88.35%, Q = 317.64), with a significant improvement noted in serum HbA1c levels (standardized mean difference (SMD) = 0.272, 95% CI: 0.118 to 0.525, n = 7360) and body weight (SMD = 0.526, 95% CI: 0.205 to 0.846, n = 1082) in the intervention group. The effect sizes were comparable across interventions delivered by different modes and delivery agents. These interventions can be delivered by allied health staff, doctors or electronically as self-help programs, with similar effectiveness (p < 0.001). These interventions should be implemented in healthcare and community settings to improve the health outcomes in patients suffering from obesity and DM.

Towards a better understanding of self-management interventions in type 2 diabetes: A concept analysis

OBJECTIVES

Diabetes self-management educational (DSME) interventions can vary considerably, and it is unclear what is the operational conceptualization of the ideal delivery to individuals with type 2 diabetes (T2D).

DESIGN

From a search conducted concurrently we extracted and evaluated the 50 most recently published DSME intervention studies. Based on an analysis of these studies, we undertook a concept analysis using the Walker and Avant framework.

RESULTS

Five attributes describing the concept were recognized and organized into two groups. Group (a): skills related attributes that included (1) decision making, (2) problem solving and (3) taking action. Group (b): information related attributes that included (4) patient-provider interaction and (5) resource utilization.

CONCLUSIONS

The outcomes of this study make the operational conceptualization of the ideal DSME intervention measurable through its attributes and hence clarifies its delivery. This will improve the implementation of the key attributes in diabetes self-management intervention programs for T2D.

Towards a better understanding of self-management interventions in type 2 diabetes: A meta-regression analysis

AIMS

Attributes that operationally conceptualize diabetes self-management education (DSME) interventions have never been studied previously to assess their impact on relevant outcomes of interest in people with type 2 diabetes (T2D). The aim of this study was to determine the impact of existing interventions classified by their delivery of skills or information related attributes on immediate (knowledge), intermediate (physical activity), post-intermediate (HbA1c), and long-term (quality of life) outcomes in people with T2D.

METHODS

PubMed, Embase, PsycINFO, and Cochrane Library/Cochrane CENTRAL as well as the grey literature were searched to identify interventional studies that examined the impact of DSME interventions on the four different outcomes. Eligible studies were selected and appraised independently by two reviewers. A meta-regression analysis was performed to determine the impact of delivery of the skills- and information-related attributes on the chosen outcomes.

RESULTS

142 studies (n = 25,511 participants) provided data, of which 39 studies (n = 5278) reported on knowledge, 39 studies (n = 8323) on physical activity, 99 studies (n = 17,178) on HbA1c and 24 studies (n = 5147) on quality of life outcomes. Meta-regression analyses demonstrated that skills-related attributes had an estimated effect suggesting improvement in knowledge (SMD [standardized mean difference] increase of 0.80; P = 0.025) and that information-related attributes had an estimated effect suggesting improvement in quality of life (SMD increase of 0.96; P = 0.405). Skill- and information-related attributes did not have an estimated effect suggesting improvement in physical activity or in HbA1c.

CONCLUSIONS

The study findings demonstrate that the skills and information related attributes contribute to different outcomes for people with T2D. This study provides, for the first time, preliminary evidence for differential association of the individual DSME attributes with different levels of outcome.

Behavior change interventions in patients with type 2 diabetes: a systematic review of the effects on self-management and A1c

PURPOSE

This study aimed to identify the characteristics of interventions employed to promote behavior change in people with type 2 diabetes mellitus (T2DM) and their impact on disease self-management and glycated hemoglobin (A1c).

METHODS

The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to guide the protocol development for this systematic review. Randomized controlled clinical trials which compared behavior change interventions to controls in adults with T2DM and investigated disease self-management and glycated hemoglobin (A1c) measured by validated methods were eligible for this study. The risk of bias and quality of evidence was assessed respectively by Cochrane's tool and grading of recommendations, assessment, development, and evaluation (GRADE).

RESULTS

A total of 27 studies were included involving 4464 participants. Behavior change was mainly promoted by education sessions on diabetes care delivered face-to-face, monthly, or every other month, lasting more than 60 min, involving blood glucose monitoring, healthy eating, exercise, and medication. Four studies showed significant improvement in both disease self-management and A1c. The risk of bias was classified as high in most studies. A meta-analysis could not be performed for A1c and self-management due to the high differences in intervention parameters (delivery mode, number, duration, and frequency) and self-management assessments.

CONCLUSION

Low evidence of improvement in disease self-management and A1c considering only validated assessment methods were found for behavior change interventions, mainly promoted by education sessions on diabetes care. The quality of studies and probably the differences in intervention protocols contributed to this finding.

PROSPERO NUMBER

CRD42020161162.

Health system interventions for adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis

BACKGROUND

Effective health system interventions may help address the disproportionate burden of diabetes in low- and middle-income countries (LMICs). We assessed the impact of health system interventions to improve outcomes for adults with type 2 diabetes in LMICs.

METHODS AND FINDINGS

We searched Ovid MEDLINE, Cochrane Library, EMBASE, African Index Medicus, LILACS, and Global Index Medicus from inception of each database through February 24, 2020. We included randomized controlled trials (RCTs) of health system interventions targeting adults with type 2 diabetes in LMICs. Eligible studies reported at least 1 of the following outcomes: glycemic change, mortality, quality of life, or cost-effectiveness. We conducted a meta-analysis for the glycemic outcome of hemoglobin A1c (HbA1c). GRADE and Cochrane Effective Practice and Organisation of Care methods were used to assess risk of bias for the glycemic outcome and to prepare a summary of findings table. Of the 12,921 references identified in searches, we included 39 studies in the narrative review of which 19 were cluster RCTs and 20 were individual RCTs. The greatest number of studies were conducted in the East Asia and Pacific region (n = 20) followed by South Asia (n = 7). There were 21,080 total participants enrolled across included studies and 10,060 total participants in the meta-analysis of HbA1c when accounting for the design effect of cluster RCTs. Non-glycemic outcomes of mortality, health-related quality of life, and cost-effectiveness had sparse data availability that precluded quantitative pooling. In the meta-analysis of HbA1c from 35 of the included studies, the mean difference was -0.46% (95% CI -0.60% to -0.31%, I2 87.8%, p < 0.001) overall, -0.37% (95% CI -0.64% to -0.10%, I2 60.0%, n = 7, p = 0.020) in multicomponent clinic-based interventions, -0.87% (-1.20% to -0.53%, I2 91.0%, n = 13, p < 0.001) in pharmacist task-sharing studies, and -0.27% (-0.50% to -0.04%, I2 64.1%, n = 7, p = 0.010) in trials of diabetes education or support alone. Other types of interventions had few included studies. Eight studies were at low risk of bias for the summary assessment of glycemic control, 15 studies were at unclear risk, and 16 studies were at high risk. The certainty of evidence for glycemic control by subgroup was moderate for multicomponent clinic-based interventions but was low or very low for other intervention types. Limitations include the lack of consensus definitions for health system interventions, differences in the quality of underlying studies, and sparse data availability for non-glycemic outcomes.

CONCLUSIONS

In this meta-analysis, we found that health system interventions for type 2 diabetes may be effective in improving glycemic control in LMICs, but few studies are available from rural areas or low- or lower-middle-income countries. Multicomponent clinic-based interventions had the strongest evidence for glycemic benefit among intervention types. Further research is needed to assess non-glycemic outcomes and to study implementation in rural and low-income settings.

Interventions targeting hypertension and diabetes mellitus at community and primary healthcare level in low- and middle-income countries:a scoping review

BACKGROUND

Hypertension (HTN) and diabetes mellitus (DM) are highly prevalent in low- and middle-income countries (LMIC) and a leading cause of morbidity and mortality. Recent evidence on effectiveness of primary care interventions has attracted renewed calls for their implementation. This review aims to synthesize evidence pertaining to primary care interventions on these two diseases, evaluated and tested in LMICs.

METHODS

Two reviewers conducted an electronic search of three databases (Pubmed, EMBASE and Web of Science) and screened for eligible articles. Interventions covering health promotion, prevention, treatment, or rehabilitation activities at the PHC or community level were included. Studies published in English, French, Portuguese and Spanish, from January 2007 to January 2017, were included. Key extraction variables included the 12 criteria identified by the Template for Intervention Description and Replication (TIDieR) checklist and guide. The Innovative Care for Chronic Conditions Framework (ICCCF) was used to guide analysis and reporting of results.

RESULTS

198 articles were analyzed. The strategies focused on healthcare service organization (76.5%), community level (9.7 %), creating a positive policy environment (3.6%) and strategies covering multiple domains (10.2%). Studies included related to the following topics: description or testing of interventions (n=81; 41.3%), implementation or evaluation projects (n=42; 21.4%), quality improvement initiatives (n=15; 7.7%), screening and prevention efforts (n=26; 13.2%), management of HTN or DM (n=13; 6.6%), integrated health services (n=10; 5.1%), knowledge and attitude surveys (n=5; 2.5%), cost-effective lab tests (n=2; 1%) and policy making efforts (n=2; 1%). Most studies reported interventions by non-specialists (n=86; 43.4%) and multidisciplinary teams (n=49; 25.5%).

CONCLUSION

Only 198 articles were found over a 10 year period which demonstrates the limited published research on highly prevalent diseases in LMIC. This review shows the variety and complexity of approaches that have been tested to address HTN and DM in LMICs and highlights the elements of interventions needed to be addressed in order to strengthen delivery of care. Most studies reported little information regarding implementation processes to allow replication. Given the need for multi-component complex interventions, study designs and evaluation techniques will need to be adapted by including process evaluations versus simply effectiveness or outcome evaluations.

A systematic review of diabetes self-management education interventions for people with type 2 diabetes mellitus in the Asian Western Pacific (AWP) region

AIMS AND OBJECTIVES

To assess the effectiveness of educational and/or psychological diabetes self-management education (DSME) intervention for people with type 2 diabetes (T2DM) in the Asian Western Pacific (AWP) region.

BACKGROUND

Translational research indicates that DSME is effective; therefore, it is important to look at the AWP region to see what has been implemented and what the potential barriers are for the low integration of DSME. The need for DSME is present, and programmes are being developed. Therefore, focusing a systematic review of DSME research in the AWP region would give a better understanding of which intervention approaches are associated with better clinical outcomes and are culturally acceptable.

DESIGN

A systematic review.

METHODS

A review of randomized controlled trials (RCTs) and comparative studies to evaluate the effectiveness of face-to-face delivery reporting educational and/or psychological interventions for people with T2DM was implemented. We conducted searches using MEDLINE, EMBASE, CINAHL, PubMed and ASSIA databases between January 1990-June 2018. Studies published in English and non-English were included. Two reviewers independently extracted data on participant and intervention characteristics. The quality of evidence was rated on predetermined criteria. Main outcomes included glycaemic control (reduction in HbA1c level).

RESULTS

We included 21 DSME programmes (17 RCTs), while 15 were group-based approaches. Twelve studies (60%) were categorized as high quality. Three studies (25%) had a moderate (good) effect. Eight trials were effective in improving glycaemic control and reported statistically significant improvements in HbA1c levels. 50% of these were high-intensity group-based programmes.

The effect of older-person centered and integrated health management model on multiple lifestyle behaviors: A randomized controlled trial from China

OBJECTIVE

To investigate the effectiveness of the older-centered Integrated Health Management Model Project (OPCHMP) for multiple lifestyle behaviours in the elderly.

METHODS

A 2-arm, parallel, randomized controlled trial was conducted in Nanjing. The elderly were recruited from multiple community health service centres. The intervention group was intervened and received a personalized, 2-year OPCHMP. The control group only received usual care. Adherence to healthy lifestyle behaviours (ATHLBS) is the primary outcome, obtained through a self-reported composite health behaviour score. The secondary outcomes were health indicators. General estimating equation models were performed to analyse longitudinal dichotomous data and continuous data.

RESULTS

637 (intervention = 323; control = 314) participants were included in the study. The participants mean age was 70.53 ± 6.07 years. Significant ATHLBS correction was achieved after 24-month follow-up in the intervention group, comparing to controls. And the intervention group reported significantly better health indicators.

CONCLUSION

OPCHMP had positive effect on multiple lifestyle habits in elderly population, which is very encouraging.

Assessing the influence of health systems on Type 2 Diabetes Mellitus awareness, treatment, adherence, and control: A systematic review

BACKGROUND

Type 2 Diabetes Mellitus (T2DM) is reported to affect one in 11 adults worldwide, with over 80% of T2DM patients residing in low-to-middle-income countries. Health systems play an integral role in responding to this increasing global prevalence, and are key to ensuring effective diabetes management. We conducted a systematic review to examine the health system-level factors influencing T2DM awareness, treatment, adherence, and control.

METHODS AND FINDINGS

A protocol for this study was published on the PROSPERO international prospective register of systematic reviews (PROSPERO 2016: CRD42016048185). Studies included in this review reported the effects of health systems factors, interventions, policies, or programmes on T2DM control, awareness, treatment, and adherence. The following databases were searched on 22 February 2017: Medline, Embase, Global health, LILACS, Africa-Wide, IMSEAR, IMEMR, and WPRIM. There were no restrictions on date, language, or study designs. Two reviewers independently screened studies for eligibility, extracted the data, and screened for risk of bias. Thereafter, we performed a narrative synthesis. A meta-analysis was not conducted due to methodological heterogeneity across different aspects of included studies. 93 studies were included for qualitative synthesis; 7 were conducted in LMICs. Through this review, we found two key health system barriers to effective T2DM care and management: financial constraints faced by the patient and limited access to health services and medication. We also found three health system factors that facilitate effective T2DM care and management: the use of innovative care models, increased pharmacist involvement in care delivery, and education programmes led by healthcare professionals.

CONCLUSIONS

This review points to the importance of reducing, or possibly eliminating, out-of-pocket costs for diabetes medication and self-monitoring supplies. It also points to the potential of adopting more innovative and integrated models of care, and the value of task-sharing of care with pharmacists. More studies which identify the effect of health system arrangements on various outcomes, particularly awareness, are needed.

Impact of an integrated care program on glycemic control and cardiovascular risk factors in patients with type 2 diabetes in Saudi Arabia: an interventional parallel-group controlled study

BACKGROUND

Long intervals between patient visits and limited time with patients can result in clinical inertia and suboptimal achievement of treatment goals. These obstacles can be improved with a multidisciplinary care program. The present study aimed to assess the impact of such a program on glycemic control and cardiovascular risk factors.

METHODS

In a randomized, parallel-group trial, we assigned 263 patients with poorly controlled type 2 diabetes mellitus (T2DM) to either a control group, standard care program, or a multidisciplinary care program involving a senior family physician, clinical pharmacy specialist, dietician, diabetic educator, health educator, and social worker. The participants were followed for a median of 10 months, between September 2013 and September 2014. Glycated hemoglobin (HbA1c), fasting blood glucose (FBG), lipid profiles, and blood pressure (BP) were measured. The assignment was blinded for the assessors of the study outcomes. The study registry number is.

RESULTS

In the intervention group, there were statistically significant (p < 0.05) post-intervention (relative) reductions in the levels of HbA1c (-27.1%, 95% CI = -28.9%, -25.3%), FBG (-17.10%, 95% CI = -23.3%, -10.9%), total cholesterol (-9.93%, 95% CI = -12.7%, -7.9%), LDL cholesterol (-11.4%, 95% CI = -19.4%, -3.5%), systolic BP (-1.5%, 95% CI = -2.9%, -0.03%), and diastolic BP (-3.4%, 95% CI = -5.2%, -1.7%). There was a significant decrease in the number of patients with a HbA1c ≥10 (86 mmol/mol) from 167 patients at enrollment to 11 patients after intervention (p < 0.001). However, the intervention group experienced a statistically significant increase in body weight (3.7%, 95% CI = 2.9%, 4.5%). In the control group, no statistically significant changes were noticed in different outcomes with the exception of total cholesterol (-4.10%, p = 0.07). In the linear regression model, the intervention and the total number of clinic visits predicted HbA1c improvement.

CONCLUSIONS

Implementation of a patient-specific integrated care program involving a multidisciplinary team approach, frequent clinic visits, and intensified insulin treatment was associated with marked improvement in glycemic control and cardiovascular risk factors of poorly controlled T2DM patients in a safe and reproducible manner.

TRIAL REGISTRATION

ISRCTN Identifier: ISRCTN83437562 September 19, 2016 Retrospectively registered.

Technology-embedded health education on nutrition for middle-aged and older adults living in the community

Mobile technology provides young adults important support for self-directed learning, but whether there is related support for older adults is not clear. This study aims to determine whether 1) nutrition education combined with mobile technology-supported teaching improves knowledge of and self-efficacy for a healthy diet; 2) if adults who reported reviewing the electronic course material or searching health information online, showed significantly greater progress in knowledge of and self-efficacy for a healthy diet than did those who did not adopt the electronic support. A total of 35 middle-aged and older adults were recruited from the community. Enrollees who were unable to read, who participated in the course fewer than five times, who did not take the post-test, or who did not return complete questionnaires at the pre-test were excluded. Overall, 21 participants were finally analyzed, and 14 participated in the qualitative investigation. The study interventions included three traditional nutrition lectures and three touch-screen tablet computer lessons to access the Internet and nutrition applications. Structured and semi-structured questionnaires were used to collect both quantitative and qualitative data and record participants' Internet use conditions at home. Participants' nutrition knowledge significantly improved (meanpost-pre = 1.19, p = 0.001) and their self-efficacy about a healthy diet showed marginal improvement (meanpost-pre = 0.22, p = 0.07). Nutrition knowledge was positively correlated with their intensity of surfing the Internet (r = 0.46, p < 0.05), or reviewing the electronic course material (r = 0.48, p < 0.05) but not correlated with reviewing paper course material (r = 0.19, p = 0.09). Qualitative results showed that participants reported feeling freshness, joyfulness, and great achievement because of the combined course material. Technology-supported learning combined with traditional health education might provide great opportunities for positive behavioral change, even in older adults without any previous Internet experience.

Shared care across the interface between primary and specialty care in management of long term conditions

BACKGROUND

Shared care has been used in the management of many chronic conditions with the assumption that it delivers better care than primary or specialty care alone; however, little is known about the effectiveness of shared care.

OBJECTIVES

To determine the effectiveness of shared care health service interventions designed to improve the management of chronic disease across the primary/specialty care interface. This is an update of a previously published review.Secondary questions include the following:1. Which shared care interventions or portions of shared care interventions are most effective?2. What do the most effective systems have in common?

SEARCH METHODS

We searched MEDLINE, Embase and the Cochrane Library to 12 October 2015.

SELECTION CRITERIA

One review author performed the initial abstract screen; then two review authors independently screened and selected studies for inclusion. We considered randomised controlled trials (RCTs), non-randomised controlled trials (NRCTs), controlled before-after studies (CBAs) and interrupted time series analyses (ITS) evaluating the effectiveness of shared care interventions for people with chronic conditions in primary care and community settings. The intervention was compared with usual care in that setting.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted data from the included studies, evaluated study quality and judged the certainty of the evidence using the GRADE approach. We conducted a meta-analysis of results when possible and carried out a narrative synthesis of the remainder of the results. We presented the results in a 'Summary of findings' table, using a tabular format to show effect sizes for all outcome types.

MAIN RESULTS

We identified 42 studies of shared care interventions for chronic disease management (N = 18,859), 39 of which were RCTs, two CBAs and one an NRCT. Of these 42 studies, 41 examined complex multi-faceted interventions and lasted from six to 24 months. Overall, our confidence in results regarding the effectiveness of interventions ranged from moderate to high certainty. Results showed probably few or no differences in clinical outcomes overall with a tendency towards improved blood pressure management in the small number of studies on shared care for hypertension, chronic kidney disease and stroke (mean difference (MD) 3.47, 95% confidence interval (CI) 1.68 to 5.25)(based on moderate-certainty evidence). Mental health outcomes improved, particularly in response to depression treatment (risk ratio (RR) 1.40, 95% confidence interval (CI) 1.22 to 1.62; six studies, N = 1708) and recovery from depression (RR 2.59, 95% CI 1.57 to 4.26; 10 studies, N = 4482) in studies examining the 'stepped care' design of shared care interventions (based on high-certainty evidence). Investigators noted modest effects on mean depression scores (standardised mean difference (SMD) -0.29, 95% CI -0.37 to -0.20; six studies, N = 3250). Differences in patient-reported outcome measures (PROMs), processes of care and participation and default rates in shared care services were probably limited (based on moderate-certainty evidence). Studies probably showed little or no difference in hospital admissions, service utilisation and patient health behaviours (with evidence of moderate certainty).

AUTHORS' CONCLUSIONS

This review suggests that shared care improves depression outcomes and probably has mixed or limited effects on other outcomes. Methodological shortcomings, particularly inadequate length of follow-up, may account in part for these limited effects. Review findings support the growing evidence base for shared care in the management of depression, particularly stepped care models of shared care. Shared care interventions for other conditions should be developed within research settings, with account taken of the complexity of such interventions and awareness of the need to carry out longer studies to test effectiveness and sustainability over time.

Clinical and socio-demographic determinants of self-care behaviours in patients with heart failure and diabetes mellitus: A multicentre cross-sectional study

BACKGROUND

Self-care is vital for patients with heart failure to maintain health and quality of life, and it is even more vital for those who are also affected by diabetes mellitus, since they are at higher risk of worse outcomes. The literature is unclear on the influence of diabetes on heart failure self-care as well as on the influence of socio-demographic and clinical factors on self-care.

OBJECTIVES

(1) To compare self-care maintenance, self-care management and self-care confidence of patients with heart failure and diabetes versus those heart failure patients without diabetes; (2) to estimate if the presence of diabetes influences self-care maintenance, self-care management and self-care confidence of heart failure patients; (3) to identify socio-demographic and clinical determinants of self-care maintenance, self-care management and self-care confidence in patients with heart failure and diabetes.

DESIGN

Secondary analysis of data from a multicentre cross-sectional study.

SETTING

Outpatient clinics from 29 Italian provinces.

PARTICIPANTS

1192 adults with confirmed diagnosis of heart failure.

METHODS

Socio-demographic and clinical data were abstracted from patients' medical records. Self-care maintenance, self-care management and self-care confidence were measured with the Self-Care of Heart Failure Index Version 6.2; each scale has a standardized score from 0 to 100, where a score <70 indicates inadequate self-care. Multiple linear regression analyses were performed.

RESULTS

Of 1192 heart failure patients, 379 (31.8%) had diabetes. In these 379, heart failure self-care behaviours were suboptimal (means range from 53.2 to 55.6). No statistically significant differences were found in any of the three self-care measures in heart failure patients with and without diabetes. The presence of diabetes did not influence self-care maintenance (p=0.12), self-care management (p=0.21) or self-care confidence (p=0.51). Age (p=0.04), number of medications (p=0.01), presence of a caregiver (p=0.04), family income (p=0.009) and self-care confidence (p<0.001) were determinants of self-care maintenance. Gender (p=0.01), number of medications (p=0.004) and self-care confidence (p<0.001) were significant determinants of self-care management. Number of medications (p=0.002) and cognitive function (p<0.001) were determinants of self-care confidence.

CONCLUSIONS

Self-care was poor in heart failure patients with diabetes mellitus. This population needs more intensive interventions to improve self-care. Determinants of self-care in heart failure patients with diabetes mellitus should be systematically assessed by clinicians to identify patients at risk of inadequate self-care.