Health Care Utilization Among Adults With CKD and Psychological Distress

Development process, clinical utility, and preliminary psychometric evidence of a new tool for screening psychological distress in renal care settings: the Hemodialysis Distress Thermometer (HD-DT)

OBJECTIVE

This study aimed to develop, evaluate the clinical utility, and test the psychometric properties of a new tool - the Hemodialysis Distress Thermometer (HD-DT) - designed to screen self-reported psychological distress and its sources in adults receiving hemodialysis.

METHODS AND MEASURES

Phase 1 focused on the process of developing and evaluating the content validity and clinical utility of the HD-DT using a stepwise mixed-methods approach; in Phase 2, the measurement properties of the European Portuguese version of the HD-DT were tested against reference measures in a cross-sectional study (n = 134 people on hemodialysis); while in Phase 3 the HD-DT was translated and culturally adapted into American English using forward-backward translation and review by a panel of experts.

RESULTS

Qualitative findings suggested that the HD-DT was perceived by feedback panels as practical and useful for rapidly screening psychological distress in nephrology centers. The European Portuguese version of this new tool showed good test-retest reliability and high diagnostic accuracy using a cutoff point of ≥ 6 for total distress. High convergent validity was found with reference measures that assess psychological health, and symptoms of anxiety and depression.

CONCLUSION

This study highlights the potential clinical utility of the HD-DT as an acceptable, reliable, and valid measure that can be used by health psychologists in clinical practice and research in renal care settings. Data collection to validate the American English version of the HD-DT is currently underway.

Common mental disorders and associated factors among adult chronic kidney disease patients attending referral hospitals in Amhara Regional State

Common mental disorders (CMDs) are a wide term that includes disorders like depression, anxiety, and somatic manifestations. Chronic kidney disease (CKD) patients are at high risk of developing a common mental disorders, which leads to a lower survival rate, poor clinical outcome, longer hospitalization, increased health-care utilization, difficulty adhering to medications, an increased risk of initiation of dialysis, poor quality of life, and an increased risk of mortality. However, there is limited study done related to common mental disorders and associated factors among chronic kidney disease patients in Ethiopia. This study aimed to assess the prevalence of common mental disorders and associated factors among chronic kidney disease patients attending referral hospitals in Amhara Regional State. An institution-based cross-sectional study design was conducted at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals from January to April 2020. The study participants were selected using systematic random sampling techniques. Common mental disorders were assessed using the Self-Reporting Questionnaire-Falk Institute (SRQ-F) tool. Data were entered into Epi Data Version 3.0 then exported into STATA 14 for analysis. Both bivariable and multi-variable binary logistic regressions were done to identify factors associated with common mental disorders. In multivariable logistic regression analysis, variables with a p-value of ≤ 0.05 were declared as a statistically associated with common mental disorders. In this study, 424 CKD patients were included, with a response rate of 100%. Among screened CKD patients, 40.8% was positive for common mental disorders, with a 95% CI (36-45%). Independent predictors of common mental disorders among CKD patients were poor social support [(AOR 3.1, 95% CI (1.67-5.77)], family history of mental disorders, [AOR 3.6, 95% CI (1.12-11.8)], comorbidity [AOR 1.7, 95% CI (1.03-2.78)], being female [AOR 2.69, 95% CI (1.72-4.20)], and duration of CKD (AOR 3.5; 95% CI (2.28-5.54). Two out of five CKD patients screened for CMDs were found to be positive. Common mental disorders were more common among CKD patients with poor social support, a family history of mental disorders, comorbidity, being female, and the duration of CKD. Therefore, screening CKD patients for common mental disorders is recommended.

"Losing Faith in My Body": Body Image in Individuals Diagnosed with End-Stage Renal Disease as Reflected in Drawings and Narratives

Chronic kidney disease (CKD) and the dependency on dialysis is an abrupt life-changing event that harms a patient's life (e.g., social relationships, work, and well-being). This study aimed to examine how individuals who undergo chronic dialysis due to failure end-stage renal disease perceive their bodies, as reflected in drawings and narratives. Following ethical approval and signing a consent form to participate in the study, 29 adults between the ages of 20 and 85 who have undergone dialysis filled out an anonymous questionnaire that consisted of the following measures: The Center for Epidemiological Studies-Depression (CES-D), The Multidimensional Body-Self Relations Questionnaire (MBSRQ), and The MOS 36-Item Short-Form Health Survey (SF-36). After completion, they were asked to draw their self-figure before and after being diagnosed and narrate it. The data were quantitatively and narratively analyzed. The results revealed high levels of depression and concerns regarding body fitness and weight. Few significant differences were noted between self-figured drawings before and after the diagnosis, such as the body line and gender markers. Additionally, Fitness Evaluation and Overweight Preoccupation were significant among the participants.

Experience of discrimination during COVID-19 pandemic: the impact of public health measures and psychological distress among refugees and other migrants in Europe

Background

The COVID-19 pandemic has had a disproportionately hard impact on refugees and other migrants who are often exposed to the virus with limited means to protect themselves. We tested the hypothesis that during the COVID-19 pandemic, refugees and other migrants have suffered a negative impact on mental health and have been unjustly discriminated for spreading the disease in Europe (data collection from April to November 2020).

Methods

Participants in the ApartTogether Survey (N = 8297, after listwise deletion of missing items final N = 3940) provided data regarding to their difficulties to adhere to preventive recommendations against COVID-19 infection (CARE), self-perceived stigmatization (SS), and psychological distress (PD). Structural Equation Modeling was used to investigate PD as a mediator in the pathway linking CARE to SS, while adjusting for the housing and residence status. To improve confidence in the findings, single hold-out sample cross-validation was performed using a train/test split ratio of 0.8/0.2.

Results

In the exploratory set (N = 3159) SS was associated with both CARE (B = 0.200, p < 0.001) and PD (B = 0.455, p < 0.001). Moreover, PD was also associated with CARE (B = 0.094, p = 0.001) and mediated the effect of CARE on SS (proportion mediated = 17.7%, p = 0.001). The results were successfully replicated in the confirmation set (N = 781; total effect = 0.417, p < 0.001; proportion mediated = 29.7%, p < 0.001). Follow-up analyses also found evidence for an opposite effect (i.e., from SS to CARE, B = 0.132; p < 0.001), suggesting that there might be a vicious circle between the self-perceived stigmatization and the access to health care and the use of preventive measures against COVID-19 infection.

Conclusions

Refugees and other migrants who had more difficulties in accessing health care and preventive measures against COVID-19 infection experienced worse mental health and increased discrimination. These negative effects appeared to be stronger for those with more insecure housing and residence status, highlighting from one side the specific risk of insecure housing in the impact of COVID-19 upon mental health and infection protection, and for another side the need to proper housing as a strategy to prevent both COVID-19 and mental distress.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13370-y.

National Estimates of Mental Health Needs among Adults with Self-Reported Chronic Kidney Disease in the United States

Introduction

Among adults with chronic kidney disease (CKD), comorbid mental illness is associated with poorer health outcomes and can impede access to transplantation. We provide the first US nationally representative estimates of the prevalence of mental illness and mental health (MH) treatment receipt among adults with self-reported CKD.

Methods

Using 2015 to 2019 National Survey on Drug Use and Health (NSDUH) data, we conducted an observational study of 152,069 adults (age ≥22 years) reporting CKD (n = 2544), with no reported chronic conditions (n = 117,235), or reporting hypertension (HTN) or diabetes mellitus (DM) but not CKD (HTN/DM, n = 32,290). We compared prevalence of (past-year) any mental illness, serious mental illness (SMI), MH treatment, and unmet MH care needs across the groups using logistic regression models.

Results

Approximately 26.6% of US adults reporting CKD also had mental illness, including 7.1% with SMI. When adjusting for individual characteristics, adults reporting CKD were 15.4 percentage points (PPs) and 7.3 PPs more likely than adults reporting no chronic conditions or HTN/DM to have any mental illness (P < 0.001) and 5.6 PPs (P < 0.001) and 2.2 PPs (P = 0.01) more likely to have SMI, respectively. Adults reporting CKD were also more likely to receive any MH treatment (21% vs. 12%, 18%, respectively) and to have unmet MH care needs (6% vs. 3%, 5%, respectively).

Conclusion

Mental illness is common among US adults reporting CKD. Enhanced management of MH needs could improve treatment outcomes and quality-of-life downstream.

Big Data in Nephrology

A huge array of data in nephrology is collected through patient registries, large epidemiological studies, electronic health records, administrative claims, clinical trial repositories, mobile health devices and molecular databases. Application of these big data, particularly using machine-learning algorithms, provides a unique opportunity to obtain novel insights into kidney diseases, facilitate personalized medicine and improve patient care. Efforts to make large volumes of data freely accessible to the scientific community, increased awareness of the importance of data sharing and the availability of advanced computing algorithms will facilitate the use of big data in nephrology. However, challenges exist in accessing, harmonizing and integrating datasets in different formats from disparate sources, improving data quality and ensuring that data are secure and the rights and privacy of patients and research participants are protected. In addition, the optimism for data-driven breakthroughs in medicine is tempered by scepticism about the accuracy of calibration and prediction from in silico techniques. Machine-learning algorithms designed to study kidney health and diseases must be able to handle the nuances of this specialty, must adapt as medical practice continually evolves, and must have global and prospective applicability for external and future datasets.

Financial Hardship Among Nonelderly Adults With CKD in the United States

RATIONALE & OBJECTIVE

The burden of financial hardship among individuals with chronic kidney disease (CKD) has not been extensively studied. Therefore, we describe the scope and determinants of financial hardship among a nationally representative sample of adults with CKD.

STUDY DESIGN

Cross-sectional.

SETTING & PARTICIPANTS

Nonelderly adults with CKD from the 2014-2018 National Health Interview Survey.

EXPOSURE

Sociodemographic and clinical characteristics.

OUTCOME

Financial hardship based on medical bills and consequences of financial hardship (high financial distress, food insecurity, cost-related medication nonadherence, delayed/forgone care due to cost). Financial hardship was categorized into 3 levels: no financial hardship, financial hardship but able to pay bills, and unable to pay bills at all. Financial hardship was then modeled in 2 different ways: (1) any financial hardship (regardless of ability to pay) versus no financial hardship and (2) inability to pay bills versus no financial hardship and financial hardship but able to pay bills.

ANALYTICAL APPROACH

Nationally representative estimates of financial hardship from medical bills were computed. Multivariable logistic regression models were used to examine the associations of sociodemographic and clinical factors with the outcomes of financial hardship based on medical bills.

RESULTS

A total 1,425 individuals, representing approximately 2.1 million Americans, reported a diagnosis of CKD within the past year, of whom 46.9% (95% CI, 43.7%-50.2%) reported experiencing financial hardship from medical bills; 20.9% (95% CI, 18.5%-23.6%) reported inability to pay medical bills at all. Lack of insurance was the strongest determinant of financial hardship in this population (odds ratio, 4.06 [95% CI, 2.18-7.56]).

LIMITATIONS

Self-reported nature of CKD diagnosis.

CONCLUSIONS

Approximately half the nonelderly US population with CKD experiences financial hardship from medical bills that is associated strongly with lack of insurance. Evidence-based clinical and policy interventions are needed to address these hardships.

Kidney cancer mortality disparities among Hispanics in the US

INTRODUCTION

Kidney cancer incidence is increasing among Hispanics but rate differences by distinct group, such as Cuban, Puerto Rican, and Mexican have not been studied. To fill this knowledge gap, we use mortality data, reflecting fatal kidney cancers, to examine patterns by race-ethnicity, including detailed Hispanic groups, and correlate the mortality rates with each group's prevalence of known kidney cancer risk factors: smoking, obesity, hypertension, diabetes, and chronic kidney disease.

METHODS

We used individual-level death data for California, Florida, and New York (2008-2018), and population prevalence data from the National Health Interview Surveys (2008-2018). Age-adjusted mortality rates (AAMRs) and regression-derived mortality rate ratios (MRRs) were computed. Pearson correlation analyses assessed the extent to which group-specific risk factor prevalence explained variability in observed AAMRs.

RESULTS

US-born Mexican Americans and American Indians had the highest rates and MRRs compared to Whites: 1.44 (95 %CI: 1.35-1.53) and 1.51 (1.38-1.64) for Mexican American men and women, respectively, and 1.54 (95 %CI: 1.25-1.89) and 1.53 (95 %CI: 1.15-2.04) for American Indians. In contrast, non-Mexican Hispanics had lower rates than Whites. Among males, positive correlations between AAMRs and smoking, obesity, and chronic kidney disease prevalence by race-ethnicity were found.

CONCLUSION

Mexican Americans and American Indians are high-risk for fatal kidney cancer. Disparities are only partially attributable to higher smoking and obesity prevalence, and more so among men than women. A shared risk factor profile, as well as possible genetic similarities, may explain their disproportionately higher kidney cancer mortality, but further research is warranted.