Impact of patient attitudes and beliefs to insulin therapy upon initiation, and their attitudinal changes after initiation: the DAWN Japan study

Factors associated with psychological insulin resistance among patients with type 2 diabetes in China

Objective

The aim of this study was to understand the psychological insulin resistance status among Chinese patients with type 2 diabetes and investigate its associated factors in these patients.

Methods

A multi-stage stratified random sampling was performed to randomly select patients with type 2 diabetes from the eastern, central, and western regions in Shandong Province, China, and 660 valid questionnaires were collected. Psychological insulin resistance was assessed by the scale of My Opinion on Insulin (MOI). Factors associated with psychological insulin resistance were examined in a binary logistic model.

Results

Four-fifths of the patients with type 2 diabetes (82.1%) had psychological insulin resistance. Being female (OR = 1.770, 95% CI: 1.063-2.950, p < 0.05), having a monthly income of greater than 4,000 Renminbi (approximately $1,540) (OR = 0.444, 95% CI: 0.216-0.915, p < 0.05), living with type 2 diabetes for 11 years or more (OR = 0.387, 95% CI: 0.238-0.630, p < 0.05), self-rated poor health (OR = 1.706, 95% CI: 1.092-2.664, p < 0.05), and moderate discrimination against type 2 diabetes (OR = 1.924, 95% CI: 1.166-3.175, p < 0.05) were associated with psychological insulin resistance.

Conclusions

The prevalence of psychological insulin resistance among Chinese patients with type 2 diabetes is relatively high. Approaches are needed to address the issue of psychological insulin resistance of type 2 diabetes.

Key factors for overcoming psychological insulin resistance: A qualitative study in Japanese people with type 2 diabetes

AIMS

We report the key factors that motivate reluctant Japanese people with type 2 diabetes (T2D) to initiate insulin treatment.

METHODS

Participants were asked questions pertaining to 2 primary areas of exploration in a concurrent mixed methods approach: (a) understanding people's thoughts and perceptions before and after insulin initiation and any related factors; and (b) exploring the reasons behind people's responses. Data were analyzed using Steps for Coding and Theorization.

RESULTS

Participant responses broadly related to 3 themes which influence insulin initiation; 1. Advice from a health care provider (HCP) that insulin is an appropriate treatment; 2. Demonstration by HCPs on how to use the insulin pen/needle and the injection process; and 3. Resignation/surrender/acceptance of insulin, where participants felt there was no other choice but to commence insulin.

CONCLUSIONS

Based on the 3 identified themes, it is important for HCPs to explain the benefits of insulin and demonstrate and explain the injection procedure to reluctant Japanese people with T2D. We also identified resignation/surrender/acceptance of insulin as a reason for treatment commencement. This study provides important information to assist HCPs in helping reluctant Japanese people with T2D to initiate basal insulin therapy.

Web-based intervention to reduce psychological barriers to insulin therapy among adults with non-insulin-treated type 2 diabetes: study protocol for a two-armed randomised controlled trial of 'Is insulin right for me?'

INTRODUCTION

Psychological barriers to insulin therapy are associated with the delay of clinically indicated treatment intensification for people with type 2 diabetes (T2D), yet few evidence-based interventions exist to address these barriers. We describe the protocol for a randomised controlled trial (RCT) examining the efficacy of a novel, theoretically grounded, psychoeducational, web-based resource designed to reduce psychological barriers to insulin among adults with non-insulin treated T2D: 'Is insulin right for me?'.

METHODS AND ANALYSIS

Double-blind, parallel group RCT. A target sample of N=392 participants (n=196/arm) will be randomised (1:1) to 'Is insulin right for me?' (intervention) or widely available online resources (control). Eligible participants include adults (18-75 years), residing in Australia, currently taking oral hypoglycaemic agents to manage T2D. They will be primarily recruited via invitations and reminders from the national diabetes registry (from a purposefully selected sample of N≥12 000).

EXCLUSION CRITERIA

experience of self-administered injectable; previously enrolled in pilot RCT; 'very willing' to start insulin as baseline. Outcomes will be assessed via online survey at 2 weeks and 6 months. Primary outcome between-group: difference in mean negative Insulin Treatment Appraisal Scores (ITAS negative) at 2-week and 6-month follow-up.

SECONDARY OUTCOMES

between-group differences in mean positive insulin appraisals (ITAS positive) and percentage difference in intention to commence insulin at follow-up time points. All data analyses will be conducted according to the intention-to-treat principle.

ETHICS AND DISSEMINATION

Deakin University Human Research Ethics Committee (2020-073). Dissemination via peer-reviewed journals, conferences and a plain-language summary.

TRIAL REGISTRATION NUMBER

ACTRN12621000191897; Australian and New Zealand Clinical Trials Registry.

'Is Insulin Right for Me?' Development of a theory-informed, web-based resource for reducing psychological barriers to insulin therapy in type 2 diabetes

OBJECTIVE

To develop a theory and evidence-based web intervention to reduce psychological barriers towards insulin therapy among adults with non-insulin-treated type 2 diabetes (T2D).

METHODS

Salient psychological barriers towards insulin were identified from the literature and classified using the Theoretical Domains Framework (TDF). Relevant TDF domains were mapped to evidence-based behaviour change techniques (BCTs), which informed the content for each barrier. Acceptability was explored using cognitive debriefing interviews (n=6 adults with T2D).

RESULTS

'Is Insulin Right for Me' addresses eight barriers, phrased as common questions: Does insulin mean my diabetes is more serious? Do insulin injections cause complications? Is it my fault I need to inject insulin? Will I gain weight? Will injecting hurt? What about hypos? Will injecting insulin be a burden? What will others think of me? BCTs, including persuasive communication and modelling/demonstration, were delivered using appropriate methods (eg, demonstration of the injection process). Participant suggestions for improvement included clear and direct messages, normalising insulin and avoiding confronting images.

CONCLUSIONS

'Is Insulin Right for Me' is the first theory and evidence-based, web intervention designed to reduce psychological barriers towards insulin therapy for adults with T2D. Evaluation is needed to determine its impact on negative appraisals and receptiveness towards insulin.

Diabetes-related quality of life in six European countries measured with the DOQ-30

Background

The quantification of diabetes-related quality of life (DR-QoL) is an essential step in making Type 2 Diabetes (T2DM) self-management arrangements. The European General Practitioners Research Network (EGPRN) initiated the EUROBSTACLE study to develop a broadly conceptualised DR-QoL instrument for diverse cultural and ethnic groups; high and low-income countries. In 2016 the Diabetes Obstacles Questionnaire-30 (DOQ-30) was introduced.

Objectives

The research aimed to study obstacles a patient with diabetes (PWD) may face in everyday life. First, we assessed how descriptive and clinical characteristics and the residential country were associated with the obstacles. Secondly, we calculated the proportion of respondents who expressed obstacles.

Methods

Data were collected in 2009 in a cross-sectional survey in Belgium, France, Estonia, Serbia, Slovenia, and Turkey. Multiple linear regressions were computed to detect associations between descriptive and clinical characteristics, residential country, and obstacles. Percentages of respondents who perceived obstacles were calculated.

Results

We found that although descriptive and clinical characteristics varied to quite a great extent, they were weakly associated with the perception of obstacles. The residential country was most often associated with the existence of some obstacle. The highest percent (48%) of all respondents perceived ‘Uncertainty about Insulin Use’ as an obstacle.

Conclusion

Descriptive and clinical characteristics were weakly associated with perceived obstacles. However, the residential country plays an essential role in the decline of the QoL of PWDs. Education of both PWDs and healthcare professionals (HCPs) plays an essential role in countering the fear of insulin.

Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study

BACKGROUND

Applications of machine learning for the early detection of diseases for which a clear-cut diagnostic gold standard exists have been evaluated. However, little is known about the usefulness of machine learning approaches in the decision-making process for decisions such as insulin initiation by diabetes specialists for which no absolute standards exist in clinical settings.

OBJECTIVE

The objectives of this study were to examine the ability of machine learning models to predict insulin initiation by specialists and whether the machine learning approach could support decision making by general physicians for insulin initiation in patients with type 2 diabetes.

METHODS

Data from patients prescribed hypoglycemic agents from December 2009 to March 2015 were extracted from diabetes specialists' registries, resulting in a sample size of 4860 patients who had received initial monotherapy with either insulin (n=293) or noninsulin (n=4567). Neural network output was insulin initiation ranging from 0 to 1 with a cutoff of >0.5 for the dichotomous classification. Accuracy, recall, and area under the receiver operating characteristic curve (AUC) were calculated to compare the ability of machine learning models to make decisions regarding insulin initiation to the decision-making ability of logistic regression and general physicians. By comparing the decision-making ability of machine learning and logistic regression to that of general physicians, 7 cases were chosen based on patient information as the gold standard based on the agreement of 8 of the 9 specialists.

RESULTS

The AUCs, accuracy, and recall of logistic regression were higher than those of machine learning (AUCs of 0.89-0.90 for logistic regression versus 0.67-0.74 for machine learning). When the examination was limited to cases receiving insulin, discrimination by machine learning was similar to that of logistic regression analysis (recall of 0.05-0.68 for logistic regression versus 0.11-0.52 for machine learning). Accuracies of logistic regression, a machine learning model (downsampling ratio of 1:8), and general physicians were 0.80, 0.70, and 0.66, respectively, for 43 randomly selected cases. For the 7 gold standard cases, the accuracies of logistic regression and the machine learning model were 1.00 and 0.86, respectively, with a downsampling ratio of 1:8, which were higher than the accuracy of general physicians (ie, 0.43).

CONCLUSIONS

Although we found no superior performance of machine learning over logistic regression, machine learning had higher accuracy in prediction of insulin initiation than general physicians, defined by diabetes specialists' choice of the gold standard. Further study is needed before the use of machine learning-based decision support systems for insulin initiation can be incorporated into clinical practice.

Successful Healthcare Provider Strategies to Overcome Psychological Insulin Resistance in Japanese Patients with Type 2 Diabetes

INTRODUCTION

EMOTION was a multinational, noninterventional study surveying current insulin-using adults with type 2 diabetes mellitus (T2D) who were initially reluctant to begin insulin treatment. In this Japanese population subanalysis of EMOTION, we identify the frequency and level of helpfulness of healthcare provider (HCP) actions, and we analyze life events ('actions/events') that assist T2D patients with psychological insulin resistance in the decision to initiate insulin.

METHODS

Participants were selected from Survey Sampling International and their local partners' market research panels in Japan. Quantitative surveys were administered between December 2016 and August 2017 to patients who met the study criteria. Participants were asked whether 45 actions/events occurred, and to rate the level of helpfulness of the actions/events in contributing to their decision to initiate insulin.

RESULTS

Among the 594 eligible participating adults in the EMOTION study, 99 were from Japan. Despite initial reluctance to begin insulin treatment, 80.8% of the Japanese participants immediately commenced insulin. Practical demonstrations by HCPs on how to use insulin were rated by participants as most helpful. Examples of such practical demonstrations, reported as helping moderately or a lot, were 'HCP walked patient through the process of exactly how to take insulin' (82.8%), 'HCP showed an insulin pen' (79.7%), and 'HCP helped patient to see how simple it was to inject insulin' (79.1%).

CONCLUSION

This study identifies actions that HCPs can use to assist Japanese patients in deciding whether to initiate insulin. These findings may aid the development of clinical interventions addressing reluctance to begin insulin treatment among Japanese patients with T2D.

FUNDING

Eli Lilly and Company and Boehringer Ingelheim. Plain language summary available for this article.

Patient activation in individuals with type 2 diabetes mellitus: associated factors and the role of insulin

AIM

This study explored the relationship between insulin use and patient activation (a person's internal readiness and capabilities to undertake health-promoting actions) in individuals with type 2 diabetes mellitus and aimed to identify demographic, clinical and psychosocial factors involved in patient activation.

METHODS

In this cross-sectional study, baseline data from a Dutch nationwide study were analyzed. Patient activation was assessed with the Patient Activation Measure 13. A linear mixed model was used to take clustering into account.

RESULTS

In total, 1,189 persons were included (310 of whom were on insulin), enrolled via 47 general practices and six hospitals. Their mean Patient Activation Measure 13 score was 59±12. We found no association between insulin therapy and patient activation. In the multivariable analysis, individuals with a better health status, very good or very poor social support (vs good social support), individuals who felt they had greater control over their illness and those with a better subjective understanding of their illness showed higher patient activation. Individuals with a lower educational level and those who expected their illness to continue showed a lower activation level.

CONCLUSION

Patient activation does not differ between individuals with type 2 diabetes mellitus on insulin therapy and those on other therapies.

Peer Education Group Intervention to Reduce Psychological Insulin Resistance: A Pilot Mixed-Method Study in a Chinese Population

INTRODUCTION

Psychological insulin resistance (PIR) is common among type II diabetes (DM) patients. Although interventions to reduce PIR have been suggested, there is no standardized intervention to reduce PIR. This trial aimed to assess the preliminary effectiveness of a well-structured interventional patient group (for sample size calculation for larger trials), as well as the acceptability and feasibility of this intervention group.

METHODS

This study used a quasi-experimental, mixed-method approach. Fifty-three patients with DM were recruited to an interventional group that included a general education of DM and insulin, an insulin pen demonstration, and an insulin-using peer sharing session. Each group consisted of around 15 participants and lasted for 2 h each. The validated Chinese version of the insulin treatment appraisal scale (C-ITAS) was administered before, immediately after, and 1 month after the intervention to measure any changes in the participants' PIR. Patients were interviewed to assess the acceptability of the intervention until data saturation.

RESULTS

Repeated measures ANOVA showed that the post-intervention C-ITAS scores (immediately post group and at 1 month) were lower than the pre-intervention C-ITAS scores (p < 0.001). Changes in multiple attitudes toward insulin were detected before and after the group intervention. Ten patient interviews were conducted and found that the intervention was welcomed by all interviewees; no discomfort or adverse reactions were reported.

CONCLUSION

Preliminary results showed that patient intervention groups with general education, insulin pen demonstration, and peer sharing appeared to be safe, acceptable, and effective in reducing PIR. Larger multicenter trials are needed to generalize these findings.

Predictors of insulin uptake among adults with type 2 diabetes in the Stepping Up Study

AIMS

We aimed to investigate predictors of insulin uptake, and change in insulin appraisals, among adults with type 2 diabetes mellitus (T2DM) who participated in the Stepping Up trial.

METHODS

The Stepping Up model of care, supporting timely insulin initiation in primary care, was evaluated in a two-armed cluster-randomised controlled trial. Participants were 266 adults (mean±SD age 62±10years; 39% women) with T2DM (median (IQR) duration 8.5 (5, 13)years) from 74 primary care practices (Stepping Up intervention: 57%, control 43%). At 12months, 47% (n=126) had commenced insulin. Controlling for randomisation, logistic regression was used to explore baseline predictors of insulin uptake, including: demographic and clinical characteristics, emotional wellbeing (depressive symptoms and diabetes-related distress), insulin treatment appraisals, and, 'willingness' to initiate insulin. Two-way analysis of variance examined effects of, and interaction between, randomisation and insulin uptake on 12-month change in insulin appraisals.

RESULTS

Participants using insulin at 12months were more likely (all p<0.05) than those with non-insulin-treated T2DM to report: lower socioeconomic status, higher baseline HbA1c (median difference: 0.3%; 3mmol/mol), greater willingness to commence insulin (very willing: 27% vs 12%), and less negative and more positive insulin appraisals. All contributed significantly to the final model (χ²(8)=92.1, p<0.001) except insulin appraisals. Regardless of trial allocation, those initiating insulin reported significantly greater reductions in negative insulin appraisals.

CONCLUSIONS

Controlling for randomisation, 12-month insulin use was predicted by higher baseline HbA1c and 'willingness' to use insulin if recommended. Negative insulin appraisals reduced following insulin initiation.

Assessing Psychological Insulin Resistance in Type 2 Diabetes: a Critical Comparison of Measures

PURPOSE OF REVIEW

This study aims to examine the operationalisation of 'psychological insulin resistance' (PIR) among people with type 2 diabetes and to identify and critique relevant measures.

RECENT FINDINGS

PIR has been operationalised as (1) the assessment of attitudes or beliefs about insulin therapy and (2) hypothetical or actual resistance, or unwillingness, to use to insulin. Five validated PIR questionnaires were identified. None was fully comprehensive of all aspects of PIR, and the rigour and reporting of questionnaire development and psychometric validation varied considerably between measures. Assessment of PIR should focus on the identification of negative and positive attitudes towards insulin use. Actual or hypothetical insulin refusal may be better conceptualised as a potential consequence of PIR, as its assessment overlooks the attitudes that may prevent insulin use. This paper provides guidance on the selection of questionnaires for clinical or research purpose and the development of new, or improvement of existing, questionnaires.