More than A1C: Types of success among adults with type-2 diabetes participating in a technology-enabled nurse coaching intervention

Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis

Background: e-Health refers to any health care service delivered through the internet or related technologies, to improve quality of life. Despite the increasing use of e-health interventions to manage type 2 diabetes (T2D), there is a lack of evidence about the effectiveness on diabetes distress and depression, which are common issues in those living with T2D. Purpose: To synthesize and determine the effects of e-health interventions on diabetes distress and depression among patients with T2D. Methods: We systematically searched PubMed, Scopus, Cochrane CENTRAL, and Web of Science for randomized controlled trials (RCTs), non-RCTs and observational cohort studies for the effects of e-health interventions on diabetes distress and depression in patients with T2D up to September 14, 2022. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 recommendations were followed. The risk of bias was assessed according to the Risk-of-Bias 2 tool (RCTs), the Risk Of Bias In Non-randomised Studies-of Interventions (ROBINS-I) (non-RCTs) and the National Institute of Health tool (observational). The standardized mean difference (SMD) and its related 95% confidence intervals (CIs) were estimated with the DerSimonian-Laird method through random-effect models. A pooled raw mean difference (MD) meta-analysis was conducted for RCTs comparing the effects of e-health versus control on diabetes distress screening to display the clinical impact. Results: A total of 41 studies (24 RCTs, 14 non-RCTs, and 3 observational) involving 8,667 individuals were included. The pooled SMD for the effect of e-health versus the control group on diabetes distress was -0.14 (95% CI = -0.24 to -0.04; I2 = 23.9%; n = 10 studies), being -0.06 (95% CI = -0.15 to 0.02; I2 = 7.8%; n = 16 studies) for depression. The pooled raw MD on diabetes distress screening showed a reduction of -0.54 points (95% CI = -0.81 to -0.27; I2 = 85.1%; n = 7 studies). Conclusion: e-Health interventions are effective in diminishing diabetes distress among adults with T2D, inducing clinically meaningful reductions.

Acceptability of Mobile App-Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study

BACKGROUND

Patients with type 2 diabetes mellitus (T2DM) experience multiple barriers to improving self-management. Evidence suggests that motivational interviewing (MI), a patient-centered communication method, can address patient barriers and promote healthy behavior. Despite the value of MI, existing MI studies predominantly used face-to-face or phone-based interventions. With the growing adoption of smartphones, automated MI techniques powered by artificial intelligence on mobile devices may offer effective motivational support to patients with T2DM.

OBJECTIVE

This study aimed to explore the perspectives of patients with T2DM on the acceptability of app-based MI in routine health care and collect their feedback on specific MI module features to inform our future intervention.

METHODS

We conducted semistructured interviews with patients with T2DM, recruited from public primary care clinics. All interviews were audio recorded and transcribed verbatim. Thematic analysis was conducted using NVivo.

RESULTS

In total, 33 patients with T2DM participated in the study. Participants saw MI as a mental reminder to increase motivation and a complementary care model conducive to self-reflection and behavior change. Yet, there was a sense of reluctance, mainly stemming from potential compromise of autonomy in self-care by the introduction of MI. Some participants felt confident in their ability to manage conditions independently, while others reported already making changes and preferred self-management at their own pace. Compared with in-person MI, app-based MI was viewed as offering a more relaxed atmosphere for open sharing without being judged by health care providers. However, participants questioned the lack of human touch, which could potentially undermine a patient-provider therapeutic relationship. To sustain motivation, participants suggested more features of an ongoing supportive nature such as the visualization of milestones, gamified challenges and incremental rewards according to achievements, tailored multimedia resources based on goals, and conversational tools that are interactive and empathic.

CONCLUSIONS

Our findings suggest the need for a hybrid model of intervention involving both app-based automated MI and human coaching. Patient feedback on specific app features will be incorporated into the module development and tested in a randomized controlled trial.

Exploring the coach-client interaction of virtual health coaching conducted in patients with type 2 diabetes mellitus: A scoping review

BACKGROUND AND AIMS

Recent studies reported that virtual health coaching (VHCs) had greater benefits on glycemic control compared to traditional diabetes care. However, VHCs are reported to lack real-time evaluations and personalized patient feedback. To support the intention of developing high quality VHC programs, this review aimed to describe characteristics of the coach-client interaction within VHC that had beneficial impacts on patients with type 2 diabetes mellitus (T2DM) patients.

METHODS

We conducted a comprehensive scoping review following the six steps of the framework developed by Arksey and O'Malley. Twelve articles that met the eligibility criteria were retrieved from Medline, ProQuest, Science Direct and Scopus.

RESULTS

We found five key concepts regarding the characteristics of coach-client interactions. First, the discussion through smartphones involved individualized feedback and insights, goals setting, barrier identification, facilitation to change behavior, and also clients' clinical, mental, and social conditions. Second, the interactions were supported by in-app features including in-app messaging, email, in-app live video consultation and in-app discussion forums. Third, the most used time of evaluation was 12 months. Fourth, the most commonly delivered topic was lifestyle changes which were predominantly focused on dietary patterns. Fifth, most of health coaches were health liaisons.

CONCLUSIONS

The findings highlight the discussion points within interaction through well-planned devices combining an appropriate in-app features contribute to an effective coach-client interactions of VHC. It is expected that future studies can apply these findings as the basis to develop a single set of standards for VHCs which refer to specific patterns of patient-oriented interaction.

Coaching as a Model for Facilitating the Performance, Learning, and Development of Palliative Care Nurses

Palliative care nurses experience huge pressures, which only increased with coronavirus disease 2019 (COVID-19). A reflection on the new demands for nursing care should include an evaluation of which evidence-based practices should be implemented in clinical settings. This paper discusses the impacts and challenges of incorporating coaching strategies into palliative care nursing. Evidence suggests that coaching strategies can foster emotional self-management and self-adjustment to daily life among nurses. The current challenge is incorporating this expanded knowledge into nurses’ coping strategies. Coaching strategies can contribute to nurses’ well-being, empower them, and consequently bring clinical benefits to patients, through humanized care focused on the particularities of end-of-life patients and their families.

Nursing-Intense Health Education Intervention for Persons with Type 2 Diabetes: A Quasi-Experimental Study

Type 2 diabetes mellitus (DM2) is a highly prevalent disease, the progression of which depends on high blood glucose levels, which are reflected in the level of glycosylated haemoglobin (HbA1c). Appropriate health education equips patients with the knowledge and skills to control their glucose and HbA1c levels to avoid long-term complications. This study was set up to compare the results of an intensive (360 min) educational intervention to improve HbA1c parameters in patients with DM2 with those of a usual 90 min intervention. For this purpose, healthcare personnel led a quasi-experimental study of 249 diabetics: 171 in the control group, and 78 in the intervention group. In the control group, the mean HbA1c value decreased from 6.97 to 6.75, while in intervention group it fell from 8.97 to 8.06. The before and after mean difference between both groups was compared with a Wilcoxon test, and the results statistically significant (W = 4530; p < 0.001), indicating a higher reduction of HbA1c in the intervention group. We concluded that the intensive health education provided by nurses during the consultation helped improve HBA1c levels in persons with DM2.

Trends in diabetes care and education by primary health care nurses in Auckland, New Zealand

AIMS

To examine trends in the management of patients with diabetes by primary health care nurses, its association with diabetes education and how valued and supported nurses feel in Auckland, New Zealand.

METHODS

Two representative cross-sectional surveys of all nurses providing community-based care, and patients with diabetes they consult, were conducted in 2006-8 and 2016. All participants completed a self-administered questionnaire on biographical details and a telephone interview on their provision of diabetes care.

RESULTS

Significantly more nurses discussed serum glucose and medications with patients, planned follow-up and scheduled practice nurse appointments in 2016 compared with 2006-8, and fewer specialist diabetologist appointments were made (12% versus 2%). Fewer nurses in 2016 than in 2006-8 felt valued (62% versus 75%) and supported (78% versus 89%) when managing patients (p-values = 0.0004). Nurses diabetes education was associated with recommended practice and feeling valued. Significantly more patients were prescribed metformin (81%) and insulin (46%) in 2016 compared with 58% and 30% in 2006-8. Despite this, HbA_1c levels remained unchanged.

CONCLUSIONS

Prescribed glycaemic-related medications increased, and more nurses engaged with patients about glycaemic control and medications in 2016 compared with 2006-8. Nurses undertaking diabetes education was strongly associated with best management practices and nurses feeling valued.

Effects of a mobile health diabetes self-management program on HbA1C, self-management and patient satisfaction in adults with uncontrolled type 2 diabetes: a randomized controlled trial

Purpose

This study aimed to examine the effects of a three-month mobile health diabetes self-management program (MHDSMP) on glycemic control, diabetes self-management (DSM) behaviors and patient satisfaction in adults with uncontrolled type 2 diabetes (T2DM) in Thailand.

Design/methodology/approach

This was a three-arm, parallel-group, randomized controlled trial among 129 adults with uncontrolled T2DM who attended the medical outpatient department in a medical center. The participants were randomly assigned to the three study groups (n = 43 per group), including MHDSMP, telephone follow-up (TF) and usual care (UC). MHDSMP encompassed four components, including DSM engagement, DSM mobile application, motivational text messages and telephone coaching. Outcomes were evaluated at three-month end-of-study by using HbA1C and response to the Summary of Diabetes Self-Care Activities (SDSCA) and the Client Satisfaction Questionnaire (CSQ-8). Data were analyzed by using descriptive statistics and multivariate analysis of covariance (MANCOVA).

Findings

The findings revealed that at the end-of-study, HbA1C decreased from 7.80 to 7.17% (p < 0.001) in MHDSMP group, from 7.72 to 7.65% (p = 0.468) in TF group, and from 7.89 to 7.72% (p = 0.074) in UC group. Significantly higher SDSCA and CSQ-8 scores were also observed in MHDSMP compared to TF and UC groups (F = 12.283, F = 19.541, F = 8.552, p < 0.001, respectively).

Originality/value

This study demonstrated that MHDSMP adjunct with usual care is beneficial for patient outcomes in adults with uncontrolled T2DM in Thailand, compared to TF and UC groups.

Under COVID-19 Pandemic: A Quasi-Experimental Trial of Observation on Diabetes Patients' Health Behavior Affected by the Pandemic From a Coaching Intervention Program

Introduction: The aim of this study was to explore the impact of diabetes self-management and HbA1c affected by the COVID-19 pandemic and the epidemic prevention work.

Methods: This quasi-experimental study collected a pooled data from a randomized-control study between February and May 2020 in which 114 participants who presented type 2 diabetes were recruited. The intervention group had health coaching and usual care, whereas the control had usual care only. The main outcome variables of this observation study were the change of HbA1c, physical activity, and eating out behavior within this time interval.

Results: We found that the eating out behavior of both groups had decreased, and if a health coach helped the patients set physical activity goals in the two groups, the physical activity behavior will not be impacted due to the pandemic.

Conclusions: While every country is focusing on COVID-19 pandemic prevention, especially when strict home quarantine measures and social distancing are adopted, reminding and assisting chronic patients to maintain good self-management behavior may lessen the social and medical system burdens caused by the deterioration of chronic conditions due to the excessive risk prevention behavior and the epidemic prevention work.

Trial Registration:www.isrctn.com, identifier number: ISRCTN14167790, date: 12 July, 2019.

Health coaching provided by registered nurses described: a systematic review and narrative synthesis

Aims

The aim of this systematic review and narrative synthesis was to identify how and why health coaching is delivered by Registered Nurses.

Design

Systematic review and narrative synthesis.

Data sources

Articles were identified through a search of CINAHL, Medline, Scopus, and PsychINFO databases. Articles published in English between 2010 and 2021 were included.

Review Methods

Quality appraisal of relevant literature was independently undertaken by two authors to assess for risk of bias. The Critical Appraisal Skills Program (CASP) was used to appraise quality of potential papers.

Results

A main purpose of coaching by Registered Nurses is to optimise patient self-care. How coaching was conducted varied across studies, with the most common coaching approaches via telephone or online. Majority of studies highlight some effectiveness of coaching by nurses; however, some results were inconclusive. Health coaching generally reduced mental distress. Other benefits reported by patients included reduced pain and fatigue. Outcomes for changing lifestyle behaviours were mixed. However, for health coaching to be efficient greater evidence is needed to determine length of time to use coaching, number of habits to focus on to produce change, and to determine best training for coaches.

Conclusions

Registered Nurses are most suitable for implementing health coaching for self-care, including preventing and managing chronic illness and recovering from situations like post-surgical needs. Nurses already promote health, and therefore, are skilled in educating people in self-care. Coaching is an additional strategy for motivating, targeting and assessing progress of self-care. Extending the scope of nursing practice to routinely coach in self-care would be ideal.

Impact of blinded retrospective continuous glucose monitoring on clinical decision making and glycemic control in persons with type 2 diabetes on insulin therapy

BACKGROUND AND AIMS

Blinded retrospective continuous glucose monitoring (rCGM) provides detailed information about real-life glycaemic profile. In persons with type 2 diabetes without adequate glycaemic control, the structured introduction of rCGM may be beneficial to sustain improvements in diabetes management.

METHODS AND RESULTS

102 individuals with insulin-treated type 2 diabetes, age less than 66 years old and HbA1c >7.5%, were recruited. Participants performed a 7-day blinded rCGM (iPro2) every four months for one year. Biochemical, anthropometric, and rCGM data was collected. Participants' and healthcare professionals' perceptions were assessed. 90 participants completed the protocol. HbA1c was 9.1 ± 0.1% one year prior to enrolment and 9.4 ± 0.1% at enrolment (p < 0.01). With the rCGM-based intervention, a decrease in HbA1c was achieved at 4 months (8.4 ± 0.1%, p < 0.0001), and 12 months (8.1 ± 0.1%, p < 0.0001). A significant increase in time-in-range was observed (50.8 ± 2.4 at baseline vs 61.5 ± 2.2% at 12 months, for 70-180 mg/dL, p < 0.001), with no difference in exposure time to hypoglycaemia. After 12 months, there was an increase in self-reported diabetes treatment satisfaction (p < 0.05).

CONCLUSION

In persons with type 2 diabetes and poor metabolic control, specific data from blinded rCGM informed therapeutic changes and referral to targeted education consultations on nutrition and insulin administration technique. Therapeutic changes were made more frequently and targeted to changes in medication dose, timing, and/or type, as well as to lifestyle. Together, these brought significant improvements in clinical outcomes, effective shared decision-making, and satisfaction with treatment.

REGISTRATION NUMBER

NCT04141111.

Characteristics of Diabetes Self-Care Agency in Japan Based on Statistical Cluster Analysis

Introduction

Considering the situation where the number of people with diabetes is increasing, we need to find ways to support more efficient and effective outpatient clinics. Therefore, it is necessary to develop effective support methods and to elaborate a strategy as a system for support after grasping the characteristics of the entire population of people with diabetes.

Objective

The purpose of this study was to identify the characteristics of the diabetes population in outpatient settings by differences in self-care agency and to examine how to support them based on the recognized characteristics.

Methods

Participants were 261 people with diabetes under outpatient care in Japanese institutions from whom demographic data on age, gender, HbA1c, and treatment method were collected as well as self-care agency data based on the Instrument of Diabetes Self-Care Agency consisting of 40 items. The data were analyzed using cluster analysis to compare age, gender, HbA1c, duration of diabetes, type of diabetes, and insulin therapy between clusters.

Results

The analysis identified six clusters, including a group with favorable HbA1c but low total self-care agency scores that were likely to affect their blood glucose control in the future, although accounting for as small a portion as 3% of the total. In addition, a cluster with poor HbA1c and generally low self-care agency was also identified accounting for about a quarter of the total population. These clusters were considered to require further support. Clusters having markedly low self-care agency items, stress-coping ability, or the ability to make the most of the support available were also identified.

Conclusion

The six clusters need to be assisted in focusing on mental or social support. Accordingly, consideration of the support system for people with diabetes based on an understanding of the cluster characteristics seemed to enable more efficient and effective support.

Diabetes management experience of middle-aged persons with type 1 diabetes

AIM

For middle-aged persons with type 1 diabetes, diabetes management is essential due to the natural effects of middle age. However, studies investigating how such individuals manage their diabetes are lacking. This study aimed to explore diabetes management experiences of middle-aged individuals with type 1 diabetes.

METHODS

Data were collected through in-depth interviews with six middle-aged persons with diabetes. An interpretative phenomenological analysis was used for the analysis of the data.

RESULTS

The following four themes emerged: "familiarity with but no control over type 1 diabetes", "embodiment of one's unique management of type 1 diabetes", "control of one's mindset regarding diabetes management despite a limited scope of activity", and "accepting ownership of self-management and continued management to the best of one's ability." A core theme was "living silently like robots dreaming of true freedom from type 1 diabetes."

CONCLUSIONS

The findings indicate that nurses should provide education, embracing the experience in diabetes management through trial and error among persons with type 1 diabetes.

Nurse Coaching and Mobile Health Compared With Usual Care to Improve Diabetes Self-Efficacy for Persons With Type 2 Diabetes: Randomized Controlled Trial

BACKGROUND

Type 2 diabetes is a growing public health problem amenable to prevention and health promotion. As healthy behaviors have an impact on disease outcomes, approaches to support and sustain diabetes self-management are vital.

OBJECTIVE

This study aimed to evaluate the effectiveness of a nurse coaching program using motivational interviewing paired with mobile health (mHealth) technology on diabetes self-efficacy and self-management for persons with type 2 diabetes.

METHODS

This randomized controlled trial compared usual care with an intervention that entailed nurse health coaching and mHealth technology to track patient-generated health data and integrate these data into an electronic health record. The inclusion criteria were as follows: (1) enrolled at 1 of 3 primary care clinics, (2) aged 18 years or above, (3) living with type 2 diabetes, and (4) English-speaking. We collected outcome measures at baseline, 3 months, and 9 months. The primary outcome was diabetes self-efficacy; secondary outcomes were depressive symptoms, perceived stress, physical functioning, and emotional distress and anxiety. Linear regression mixed modeling estimated the population trends and individual differences in change.

RESULTS

We enrolled 319 participants; 287 participants completed the study (155 control and 132 intervention). The participants in the intervention group had significant improvements in diabetes self-efficacy (Diabetes Empowerment Scale, 0.34; 95% CI -0.15,0.53; P<.01) and a decrease in depressive symptoms compared with usual care at 3 months (Patient Health Questionnaire-9; 0.89; 95% CI 0.01-1.77; P=.05), with no differences in the other outcomes. The differences in self-efficacy and depression scores between the 2 arms at 9 months were not sustained. The participants in the intervention group demonstrated a significant increase in physical activity (from 23,770 steps per week to 39,167 steps per week at 3 months and 32,601 per week at 9 months).

CONCLUSIONS

We demonstrated the short-term effectiveness of this intervention; however, by 9 months, although physical activity remained above the baseline, the improvements in self-efficacy were not sustained. Further research should evaluate the minimum dose of coaching required to continue progress after active intervention and the potential of technology to provide effective ongoing automated reinforcement for behavior change.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02672176; https://clinicaltrials.gov/ct2/show/NCT02672176.