Prioritizing Patient Experiences in the Management of Diabetes and Its Complications: An Endocrine Society Position Statement

Diabetes can be an arduous journey both for people with diabetes (PWD) and their caregivers. While the journey of every person with diabetes is unique, common themes emerge in managing this disease. To date, the experiences of PWD have not been fully considered to successfully implement the recommended standards of diabetes care in practice. It is critical for health-care providers (HCPs) to recognize perspectives of PWD to achieve optimal health outcomes. Further, existing tools are available to facilitate patient-centered care but are often underused. This statement summarizes findings from multistakeholder expert roundtable discussions hosted by the Endocrine Society that aimed to identify existing gaps in the management of diabetes and its complications and to identify tools needed to empower HCPs and PWD to address their many challenges. The roundtables included delegates from professional societies, governmental organizations, patient advocacy organizations, and social enterprises committed to making life better for PWD. Each section begins with a clinical scenario that serves as a framework to achieve desired health outcomes and includes a discussion of resources for HCPs to deliver patient-centered care in clinical practice. As diabetes management evolves, achieving this goal will also require the development of new tools to help guide HCPs in supporting PWD, as well as concrete strategies for the efficient uptake of these tools in clinical practice to minimize provider burden. Importantly, coordination among various stakeholders including PWD, HCPs, caregivers, policymakers, and payers is critical at all stages of the patient journey.

Characteristics of self-management education and support programmes for people with chronic diseases delivered by primary care teams: a rapid review

BACKGROUND

Primary care actors can play a major role in developing and promoting access to Self-Management Education and Support (SMES) programmes for people with chronic disease. We reviewed studies on SMES programmes in primary care by focusing on the following dimensions: models of SMES programmes in primary care, SMES team's composition, and participants' characteristics.

METHODS

For this mixed-methods rapid review, we searched the PubMed and Cochrane Library databases to identify articles in English and French that assessed a SMES programme in primary care for four main chronic diseases (diabetes, cancer, cardiovascular disease and/or respiratory chronic disease) and published between 1 January 2013 and 31 December 2021. We excluded articles on non-original research and reviews. We evaluated the quality of the selected studies using the Mixed Methods Appraisal Tool. We reported the study results following the PRISMA guidelines.

RESULTS

We included 68 studies in the analysis. In 46/68 studies, a SMES model was described by focusing mainly on the organisational dimension (n = 24). The Chronic Care Model was the most used organisational model (n = 9). Only three studies described a multi-dimension model. In general, the SMES team was composed of two healthcare providers (mainly nurses), and partnerships with community actors were rarely reported. Participants were mainly patients with only one chronic disease. Only 20% of the described programmes took into account multimorbidity. Our rapid review focused on two databases and did not identify the SMES programme outcomes.

CONCLUSIONS

Our findings highlight the limited implication of community actors and the infrequent inclusion of multimorbidity in the SMES programmes, despite the recommendations to develop a more interdisciplinary approach in SMES programmes. This rapid review identified areas of improvement for SMES programme development in primary care, especially the privileged place of nurses in their promotion.

TRIAL REGISTRATION

PROSPERO 2021 CRD42021268290 .

Factors Associated With Receipt of Diabetes Self-Management Education and Support for Type 2 Diabetes: Potential for a Population Health Management Approach

BACKGROUND

Population health management approaches can help target diabetes resources like Diabetes Self-Management Education and Support (DSMES) to individuals at the highest risk of complications and poor outcomes. Little is known about patient characteristics associated with DSMES receipt since widespread uptake of telemedicine for diabetes care in 2020.

METHODS

In this retrospective cohort study, we used electronic medical record (EMR) data to assess patterns of DSMES delivery from May 2020 to May 2022 among adults who used telemedicine for type 2 diabetes (T2D) endocrinology care in a large integrated health system. Multilevel regression models were used to evaluate the association of key patient characteristics with DSMES receipt.

RESULTS

Of 3530 patients in the overall cohort, 401 patients (11%) received DSMES. In adjusted multivariable logistic regression, higher baseline HbA1c (odds ratios [OR] 3.10 [95% confidence interval 2.22-4.33] for HbA1c ≥9% vs <7%), insulin regimen complexity (OR 3.53 [2.59-4.80] for multiple daily injections vs no insulin), and number of noninsulin medications (OR 1.17 [1.05-1.30] per 1 additional medication) were significantly associated with receipt of DSMES, whereas rurality and area-level deprivation of patient residence were not.

CONCLUSIONS

Diabetes Self-Management Education and Support remains underutilized in this cohort of adults using telemedicine to access endocrinology care for T2D. Factors contributing to clinical complexity increased the odds of receiving DSMES. These results support a potential population health management approach using EMR data, which could target DSMES resources to those at higher risk of poor outcomes. This risk-stratified approach may be even more effective now that more people can access DSMES via telemedicine in addition to in-person care.

The Effect of Educational Intervention Based on Health Belief Model on Eye Care Practice of Type II Diabetic Patients in Southern Iran

Background

The ocular complication caused by diabetes is one of the most common reasons of blindness in the world. This study aimed to investigate the effect of educational intervention on eye care practice of type II diabetic patients based on health belief model (HBM) in Fasa city.

Methods

This study was a quasi-experimental study on 100 patients with type II diabetes referred to the diabetes center in Fasa city, Fars province, Iran, in 2019. Data were collected using a valid self-reported questionnaire including demographic variables, knowledge, and HBM (perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action), and eye care performance (based on self-report) and the level of HbA1cof both groups were measured before and three months after the educational intervention. The experimental group received training in eight sessions; each session lasted for 50 to 55 minutes. In order to analyze the studied data, SPSS 22 software (SPSS Inc., IBM, Chicago, IL, USA), Chi-square, independent t-test, and paired t-test have been used. P < 0.05 was considered as statistically significant.

Results

The results showed that the mean scores of knowledge (P < 0.001) and HBM components (P < 0.001) in the experimental and control groups after intervention have a significant difference. After the training program, eye care performance in the experimental group was better than that in the control group (P < 0.001). Furthermore, HbA1c (P < 0.001) improved significantly in the experimental group compared to the control group.

Conclusions

Planning and implementing education using the HBM to improve eye care performance in diabetic patients are very effective and beneficial. Moreover, educational programs based on health education and health promotion models for diabetic patients for preventing side effects caused by diabetes should be performed.

A Risk Stratification Approach to Allocating Diabetes Education and Support Services

The objective of this study was to describe a predictive modeling approach to risk stratify people with type 2 diabetes for diabetes self-management education and support (DSMES) services. With data from a large health system, a predictive model including age, glycated hemoglobin (HbA1c), and insulin use among other factors, was developed to assess risk of future high HbA1c. The model was retrospectively applied to a cohort of people who received DSMES over a 2-year period to assess the impact of DSMES on glycemia by risk strata. Of 6934 eligible people, 4014 (58%) were in the composite low-risk group and 2604 (38%) were in the composite high-risk group. Mean HbA1c change after DSMES was -0.38% in the low-risk group and -0.84% in the high-risk group. This analysis demonstrates the potential application of predictive modeling as one approach to target DSMES resources to people who will benefit most.

Visual Impairment and Self-Efficacy in Diabetes Management

PURPOSE

The purpose of this study is to examine the relationship between visual impairment and diabetes management self-efficacy.

METHODS

The present study utilized pooled cross-sectional data (2008-2018) from the Medical Expenditure Panel Survey Household Component and Diabetes Care Survey. Binary and generalized ordinal logit regression models were used to compare diabetes management self-efficacy between patients with and without visual impairments.

RESULTS

Compared to their non-visually impaired counterparts, visually impaired persons had a lower odds of reporting high diabetes management self-efficacy. Similarly, visually impaired adults with diabetes have a significantly lower odds of being very confident in their ability to manage their conditions compared with adults who reported being not confident, somewhat confident, or confident. Several control factors, including self-behaviors and receipt of diabetes self-management education (DSME), were also associated with diabetes management self-efficacy.

CONCLUSIONS

Visually impaired persons experience significant disparities in diabetes management self-efficacy. Given the relationship between self-efficacy and diabetes-related outcomes, it is crucial that DSME be tailored to effectively meet the individual needs of this population. Future research should explore the relationship between DSME and self-care behaviors, self-efficacy, and diabetes-related outcomes in visually impaired persons.

Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature

BACKGROUND

in diabetes, multiple mHealth solutions were produced and implemented for self-management behaviors. However, little research on the effectiveness of psychological techniques implemented within these mHealth solutions was carried out, and even less with the elderly population where technological barriers might exist. Reliable evidence generated through a comprehensive evaluation of mHealth interventions may accelerate its growth for successful long-term implementation and to help to experience mHealth benefits in an enhanced way in all ages.

OBJECTIVE

this study aimed to review mHealth solutions for diabetes self-management in older adults (adherence to treatments and glycemic control) by analyzing the effectiveness of specific psychological techniques implemented.

METHODS

a narrative review was conducted following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. PubMed (Medline) and American Psychological Association (APA) PsycInfo databases were searched for published papers that addressed eHealth solutions' effectiveness for diabetes self-management. Studies in English, Spanish, and/or German of any design were screened, with no time constraints regarding the year of publication. A qualitative analysis of the selected papers was conducted in several steps.

RESULTS

this review found 38 studies setting up and analyzing mHealth solutions for older adults. Most research showed improvements in HbA1c, self-management behaviors, and medication adherence in T2DM patients post intervention. However, different mid-to-long term effects were found across studies, specifically concerning the maintenance and adherence to healthy behaviors. The most employed psychological framework was CBT, including techniques such as self-monitoring of outcome behaviors (mostly targeting glycemia measurements and healthy habits as physical activity and/or diet), tailored motivational feedback from medical staff, and psychoeducation or health coaches. The most successful mHealth intervention combined the feature of tailored feedback messages, interactive communication with healthcare professionals, and multifaceted functions.

CONCLUSIONS

there is a lack of elaborate and detailed information in the literature regarding the factors considered in the design and development of mHealth solutions used as interventions for T2DM self-management in the elderly. Documentation and inclusion of such vital information will foster a transparent and shared decision-making process that will ultimately lead to the development of useful and user-friendly self-management apps that can enhance the quality of life for diabetes patients. Further research adapting mHealth solutions to older adults' sensory deficits is necessary.

Effect of a Primary Care-Based Diabetes Education Model on Provider Referrals and Patient Participation

PURPOSE

The purpose of this study was to evaluate the impact of a primary care (PC)-based delivery model on diabetes self-management education and support (DSMES) referrals and participation. Despite evidence that DSMES is a critical component of diabetes care, referrals and participation remain low.

METHODS

PC practices were assigned to the intervention (n = 6) or usual care (n = 6). Intervention practices had direct access to a diabetes educator (DE) and applied patient-centered medical home elements to DSMES delivery. Usual care practices referred patients to traditional hospital-based outpatient DSMES programs. DSMES referrals and participation were examined for patients with diabetes, 18 to 75 years old, presenting to PC over 18 months (n = 4,894) and compared between groups.

RESULTS

Compared to the usual care group, a higher percentage of patients in the intervention practices were referred to DSMES (18.4% vs 13.4%; P < .0001), and of those referred, a higher percentage of patients in the intervention practices participated in DSMES (34.9% vs 26.1%; P = .02). Patient-level factors predicting referrals were obesity (odds ratio [OR] = 1.6), higher A1C (OR = 1.4), female (OR = 1.3), and younger age (OR = 0.98). The only patient-level factor that predicted DSMES participation was lower A1C (OR = 0.9).

CONCLUSIONS

This study demonstrates the positive influence of a PC-based intervention on DSMES referral and participation. However, modest improvements in DSMES rates, even with targeted efforts to address reported barriers, raise questions as to what is truly needed to drive meaningful change.

A Coordinated Population Health Approach to Diabetes Education in Primary Care

PURPOSE

The purpose of this feasibility study was to determine the effectiveness of an insurer-based diabetes educator (DE)-driven intervention that relies on systematic restructuring of primary care (PC) linking DE services through population health, practice redesign, and coordinated care for patients with diabetes mellitus (DM) identified as high risk.

METHODS

Two DEs were introduced as members of PC teams and worked with practice-based care managers (PBCMs) to identify and refer DM patients considered at high risk, A1C >9%, DM-related emergency room visit or hospitalization, or reported barriers to care. Elements shown to ensure quality, including population management, diabetes self-management education and support (DSMES), and coordinated patient-centered team-based PC, were central to intervention. A1C, low-density lipoprotein (LDL), and body mass index (BMI) were collected at baseline and outcomes were followed at 3, 6, 9, and 12 months after intervention.

RESULTS

For patients who received intervention, A1C decreased on average 1.2% (95% confidence interval [CI], 0.8-1.5) from 9.6% (81 mmol/mol) to 8.4% (68 mmol/mol) over 6 months and by 1.1% (95% CI, 0.7-1.5) from 9.2% (77 mmol/mol) to 8.1% (65 mmol/mol) over 12 months, indicating durable improvement in glycemic control. There was no significant change in BMI, and LDL improvement observed at 9 months was lost by 12-month follow-up.

CONCLUSION

Findings support the feasibility of a DE-driven intervention for patients with DM at high risk through a coordinated PC approach that improves glycemic control. The feasibility and clinical outcome of this model warrant consideration of a fresh role for DEs in the complex environment of value-based care.