Relationship Among Diabetes Distress, Decisional Conflict, Quality of Life, and Patient Perception of Chronic Illness Care in a Cohort of Patients With Type 2 Diabetes and Other Comorbidities

Distress and its influencing factors among Chinese patients with incidental pulmonary nodules: a cross-sectional study

The study aims to investigate the distress level and its influencing factors in Chinese pulmonary nodules patients. A total of 163 outpatients in a tertiary hospital in Xi'an, China, were recruited and investigated by using the Impact of Event Scale, Decision Conflict Scale, Consultation Care Measure, Lung Cancer Worry Scale and a demographic questionnaire. The logistic regression model was used to identify the factors of distress. The mean IES score was 37.35 ± 16.65, which was a moderate level. Patients aged 50-60 years, with higher decision conflicts scores, lower physician-patient communication quality score, and who are anxious about the results of future tests or treatments had higher distress score. Distress levels were moderate in patients with pulmonary nodules. Communication between medical staff and patients is extremely important for the management of pulmonary nodules, which affects the quality of the patient's decision-making and his level of distress.

Identification of factors associated with fear of hypoglycemia using the capability, opportunity, motivation and behavior model in people with type 2 diabetes mellitus: a cross-sectional study

AIMS

To examined the relationship between fear of hypoglycemia and certain variables in people with type 2 diabetes mellitus (T2DM) based on the Capability, Opportunity, Motivation, and Behavior model, combined with the context unique to people with diabetes to provide a basis for developing targeted nursing interventions.

METHODS

In this cross-sectional study, 212 people with T2DM were recruited from February 2021 to July 2021. Data were collected using the Hypoglycaemia Fear Survey, Gold score, Patient Assessment of Chronic Illness Care (PACIC) scale and Diabetic Self-Management Attitudes Scale. Multiple linear regression analysis was performed to determine the predictors of fear of hypoglycemia using SPSS 26.0.

RESULTS

The mean fear of hypoglycemia score was 74.88 ± 18.28 (range: 37.00-132.00). In people with T2DM, the frequency of blood glucose monitoring, the frequency of hypoglycemia in the past half-year, degree of understanding of hypoglycemia, impaired awareness of hypoglycemia, PACIC, and self-management attitude of diabetes were the influencing factors of fear of hypoglycemia (adjusted R2 = 0.560, F[21,190] = 13.800, P < 0.001). These variables explained 56.0% of the variance in the fear of hypoglycemia.

CONCLUSIONS

The level of fear of hypoglycemia in people with T2DM was relatively high. In addition to paying attention to the disease characteristics of people with T2DM, medical staff should also pay attention to patients' own perception and handling ability of disease and hypoglycemia, attitude toward self-management behavior and external environment support, all of which have a positive effect on improving the fear of hypoglycemia in people with T2DM, optimizing the self-management level and improving quality of life.

Diabetes distress in a Medicaid sample: The role of psychosocial and health-related factors

AIMS

Diabetes-related distress can negatively affect disease management leading to worse complications, especially among marginalized populations. Prior studies mostly focus on distress' impact on diabetes outcomes, with few examining distress predictors. The current study examined the impact of social needs on distress on its own and after controlling for other socio-demographic, psychosocial, and health factors.

METHODS

Adult Medicaid beneficiaries with type 2 diabetes and a recent HbA1c test documented in claims data (<120 days) were recruited for a 12-month social needs intervention trial. Baseline survey data assessed diabetes distress, social needs, psychosocial factors and health factors. Descriptive statistics were obtained, and bivariate and multivariable logistic regression analyses were used to identify predictors of moderate to severe distress.

RESULTS

Bivariate analyses revealed social needs, stress, depression, comorbidity and comorbidity burden, poor self-rated health, insulin use, a self-reported HbA1c ≥ 9.0, and difficulty remembering to take diabetes medications were all positively associated with greater odds of diabetes distress; greater social support, diabetes self-efficacy, and age were negatively associated. Four variables remained significant in the multivariate model: depression, diabetes self-efficacy, self-reported HbA1c ≥ 9.0, and younger age.

CONCLUSIONS

Targeted distress screening efforts might prioritize people with HbA1c values >9.0, greater depression, and worse diabetes self-efficacy.

The mediating role of decision-making conflict in the association between patient's participation satisfaction and distress during medical decision-making among Chinese patients with pulmonary nodules

OBJECTIVE

When diagnosed as having pulmonary nodules, patients may be mired in the conflict of medical decision-making and suffered from distress. The purpose of this study was to investigate the mediating role of decision-making conflict in the relationship between participation satisfaction in medical decision-making (PSMD) and distress among Chinese patients with incidental pulmonary nodules.

METHODS

A total of 163 outpatients with incidental pulmonary nodules detected in a tertiary hospital were recruited and investigated by Impact of Event Scale (IES), Decision Conflict Scale (DCS), participation satisfaction in medical decision-making Scale (PSMDS), and demographic questionnaire.

RESULTS

The mean IES score was 37.35 ± 16.65, representing a moderate level. PSMD was negatively associated with distress, while decision-making conflict was positively associated with distress. The final regression model contained three factors: having a first-degree relative diagnosed with lung cancer, worrying about getting lung cancer someday, and decision-making conflict. These three factors explained 49.4 % of the variance of distress. The total effect of PSMD on distress and indirect effect of SPMD on distress caused-by decision-making conflict were significant (P < 0.05). However, the direct effect of PSMD on distress was not significant.

CONCLUSIONS

Participation of patients in medical decision-making can lower their distress by reducing patient's decision-making conflict.

PRACTICE IMPLICATIONS

Interventions targeting at the decision-making conflict will help alleviate the distress level of patients with pulmonary nodules.

DATA AVAILABILITY

The data that support the findings of this study are available on request from the corresponding author.

Is Sociodemographic Status Associated with Empathic Communication and Decision Quality in Diabetes Care?

OBJECTIVE

To assess the relationship between empathic communication, shared decision-making, and patient sociodemographic factors of income, education, and ethnicity in patients with diabetes.

RESEARCH DESIGN AND METHODS

This was a cross-sectional study from five primary care practices in the Greater Toronto Area, Ontario, Canada, participating in a randomized controlled trial of a diabetes goal setting and shared decision-making plan. Participants included 30 patients with diabetes and 23 clinicians (physicians, nurses, dietitians, and pharmacists), with a sample size of 48 clinical encounters. Clinical encounter audiotapes were coded using the Empathic Communication Coding System (ECCS) and Decision Support Analysis Tool (DSAT-10).

RESULTS

The most frequent empathic responses among encounters were "acknowledgement with pursuit" (28.9%) and "confirmation" (30.0%). The most frequently assessed DSAT components were "stage" (86%) and knowledge of options (82.0%). ECCS varied by education (p=0.030) and ethnicity (p=0.03), but not income. Patients with only a college degree received more empathic communication than patients with bachelor's degrees or more, and South Asian patients received less empathic communication than Asian patients. DSAT varied with ethnicity (p=0.07) but not education or income. White patients experienced more shared decision-making than those in the "other" category.

CONCLUSIONS

We identified a new relationship between ECCS, education and ethnicity, as well as DSAT and ethnicity. Limitations include sample size, heterogeneity of encounters, and predominant white ethnicity. These associations may be evidence of systemic biases in healthcare, with hidden roots in medical education.

Difficult Decisions for Older Canadians Receiving Home Care, and Why They Are So Difficult: A Web-Based Decisional Needs Assessment

Background. Older adults receiving home care services often face decisions related to aging, illness, and loss of autonomy. To inform tailored shared decision making interventions, we assessed their decisional needs by asking about the most common difficult decisions, measured associated decisional conflict, and identified factors associated with it. Methods. In March 2020, we conducted a cross-sectional survey with a pan-Canadian Web-based panel of older adults (≥65 y) receiving home care services. For a difficult decision they had faced in the past year, we evaluated clinically significant decisional conflict (CSDC) using the 16-item Decisional Conflict Scale (score 0–100) with a >37.5 cutoff. To identify factors associated with CSDC, we performed descriptive, bivariable, and multivariable analyses using the stepwise selection method with an assumed entry and exit significance level of 0.15 and 0.20, respectively. Final model selection was based on the Bayesian information criterion. Results. Among 460 participants with an average age of 72.5 y, difficult decisions were, in order of frequency, about housing and safety (57.2%), managing health conditions (21.8%), and end-of-life care (8.3%). CSDC was experienced by 14.6% (95% confidence interval [CI]: 11.5%, 18.1%) of respondents on all decision points. Factors associated with CSDC included household size = 1 (OR [95% CI]: 1.81 [0.99, 3.33]; P = 0.27), household size = 3 (2.66 [0.78, 8.98]; P = 0.83), and household size = 4 (6.91 [2.23, 21.39]; P = 0.014); preferred option not matching the decision made (4.05 [2.05, 7.97]; P < 0.001); passive role in decision making (5.13 [1.78, 14.77]; P = 0.002); and lower quality of life (0.70 [0.57, 0.87]; P<0.001). Discussion. Some older adults receiving home care services in Canada experience CSDC when facing difficult decisions. Shared decision-making interventions could mitigate associated factors.

Emotional Distress is Associated with Lower Health-Related Quality of Life Among Patients with Diabetes Using Antihypertensive and/or Antihyperlipidemic Medications: A Multicenter Study in Indonesia

Objective

To evaluate the associations between different types of diabetes distress and health-related quality of life (HRQOL) among patients with type 2 diabetes (T2DM) using antihypertensive and/or antihyperlipidemic medications in Indonesia and to explore the differences between those using only antihypertensive, only antihyperlipidemic, or both medications.

Methods

A multicenter cross-sectional study was conducted in Community Health Centers in three cities in Indonesia among patients with T2DM aged at least 18 years who were using antihypertensive and/or antihyperlipidemic medications. Diabetes distress subscales (emotional, regimen-related, interpersonal, and physician-related distress) and HRQOL were assessed using a validated diabetes distress scale-17 and EQ-5D-5L scale, respectively. Multiple linear regression models were used to evaluate the associations between different types of diabetes distress and HRQOL adjusting for confounders.

Results

Most of the 503 participants were females (67.6%) and aged 60–69 years (40.8%). Emotional distress was negatively associated with HRQOL among the whole group of patients (β: −0.08; 95% confidence interval (CI): −0.10, −0.05; p < 0.001). This association was similar across all therapeutic subgroups. Regimen-related distress (β: −0.06; 95% CI: −0.09, −0.03; p < 0.001) and interpersonal distress (β: −0.02; 95% CI: −0.05, −0.01; p = 0.022) were negatively associated, whereas physician-related distress (β: 0.04; 95% CI: 0.01, 0.07; p = 0.037) was positively associated with HRQOL among the whole group. These associations were also observed among those using only antihypertensive medication.

Conclusion

Emotional distress affects HRQOL in T2DM patients treated for cardiovascular comorbidities, independent of antihypertensive and/or antihyperlipidemic medication use.

Life satisfaction and emotional distress in people living with type 2 diabetes mellitus: The mediating effect of cognitive function

AIMS AND OBJECTIVES

To explore the relationships among emotional distress, cognitive function and life satisfaction in people living with type 2 diabetes mellitus (T2DM), and to verify the mediating role of cognitive function.

BACKGROUND

People with T2DM face cognitive decline caused by age and disease complications. Emotional distress will reduce their life satisfaction, and cognitive function will also affect the life satisfaction, but whether cognitive function mediates the effect of emotional distress on life satisfaction has not been verified.

DESIGN

A cross-sectional study.

METHODS

A total of 200 people living with T2DM in the community by convenience sampling were enrolled from November-December 2018. Data collection involved a demographic and disease characteristic questionnaire, Problem Areas in Diabetes Scale, Subjective and Objective Cognitive Function Evaluation and Life Satisfaction Questionnaire. Data analysis included descriptive statistics and structural equation modelling. This report followed the STROBE guideline.

RESULTS

The emotional distress and subjective memory complaints of cognitive function had a significant positive correlation, while both emotional distress and cognitive function showed significant negative correlations with life satisfaction. In addition, cognitive function completely mediated the relationship between emotional distress and life satisfaction.

CONCLUSION

The cognitive function played a mediating role in life satisfaction and explains how emotional distress affects life satisfaction of people with T2DM. Therefore, it is suggested that diabetes nurses should early identify the decline of cognitive function, and to intervene at an early stage.

RELEVANCE TO CLINICAL PRACTICE

This study provides opinions on the mediating factors of cognitive function. Coping strategies and supporting resources to help the T2DM people to improve their life satisfaction are suggested.

Social support buffers the impacts of Diabetes distress on health-related quality of life among type 2 diabetic patients

Diabetes patients experience significant distress. Improving health-related quality of life (HRQoL) is cardinal in the management of all chronic health conditions. We investigated the moderating role of social support (SS) in the relationship between diabetes distress (DD) and HRQoL. Three hundred and ninety-six type 2 diabetes mellitus (T2DM) patients (M age = 57.71 years) completed measures of relevant variables. Results showed that SS moderated DD-HRQoL association. Our findings provided a guide on extent of support for T2DM management behaviors that may be helpful in ameliorating impacts of stress on patients' health.

Insulin pricing and other major diabetes-related concerns in the USA: a study of 46 407 tweets between 2017 and 2019

INTRODUCTION

Little research has been done to systematically evaluate concerns of people living with diabetes through social media, which has been a powerful tool for social change and to better understand perceptions around health-related issues. This study aims to identify key diabetes-related concerns in the USA and primary emotions associated with those concerns using information shared on Twitter.

RESEARCH DESIGN AND METHODS

A total of 11.7 million diabetes-related tweets in English were collected between April 2017 and July 2019. Machine learning methods were used to filter tweets with personal content, to geolocate (to the USA) and to identify clusters of tweets with emotional elements. A sentiment analysis was then applied to each cluster.

RESULTS

We identified 46 407 tweets with emotional elements in the USA from which 30 clusters were identified; 5 clusters (18% of tweets) were related to insulin pricing with both positive emotions (joy, love) referring to advocacy for affordable insulin and sadness emotions related to the frustration of insulin prices, 5 clusters (12% of tweets) to solidarity and support with a majority of joy and love emotions expressed. The most negative topics (10% of tweets) were related to diabetes distress (24% sadness, 27% anger, 21% fear elements), to diabetic and insulin shock (45% anger, 46% fear) and comorbidities (40% sadness).

CONCLUSIONS

Using social media data, we have been able to describe key diabetes-related concerns and their associated emotions. More specifically, we were able to highlight the real-world concerns of insulin pricing and its negative impact on mood. Using such data can be a useful addition to current measures that inform public decision making around topics of concern and burden among people with diabetes.

Decreased Quality of Life in Individuals with Type 2 Diabetes Mellitus Is Associated with Emotional Distress

Background: individuals with type 2 diabetes show emotional distress as they learn how to cope with the disease. The emotional distress increases the possibility of complications in these patients. The aims of the present study were to evaluate the impact of the emotional distress in the quality of life of individuals with diabetes, and to investigate the demographic and clinical characteristics associated with the emotional distress of living with diabetes in a Mexican population. Methods: a total of 422 Mexican individuals with type 2 diabetes were recruited from the outpatient Diabetes Clinic of the Hospital Regional de Alta Especialidad Dr. Gustavo A. Rovirosa of Villahermosa, Tabasco. Demographic and clinical characteristics along with quality of life (SF-36) were assessed in these individuals. The emotional distress of living with diabetes was measured using the 5-item Problem Areas in Diabetes. Patients were divided according to the presence of high or low distress. Results: we identified that 31.8% (n = 134) of patients presented high diabetes-related emotional distress. We observed that hepatic diseases as comorbidities (p = 0.008) and diagnosis of major depression (p = 0.04) are factors associated with the emotional distress of living with diabetes. These patients showed a reduced quality of life in all dimensions (p < 0.001); the most affected dimensions were physical role (d = 0.37) and general health (d = 0.89) showing lower scores in comparison with patients with low emotional distress. Conclusions: our results suggest that Mexican individuals with type 2 diabetes mellitus show high emotional distress living with the disease and have a decreased quality of life. Therefore, it is necessary to decrease factors associated with the high emotional distress of living with diabetes in patients with type 2 diabetes.