The impact of financial strain on medication non-adherence: Influence of psychiatric medication use

Development and validation of a nomogram model for medication non-adherence in patients with chronic kidney disease

OBJECTIVE

The high prevalence of medication non-adherence in patients with chronic kidney disease places a tremendous burden on healthcare resources. The study was designed to develop and validate a nomogram model of medication non-adherence in patients with chronic kidney disease in China.

METHODS

A multicenter cross-sectional study was conducted. 1206 chronic kidney disease patients were consecutively enrolled from Be Resilient to Chronic Kidney Disease (registration number: ChiCTR2200062288) between September 2021 and October 2022 in four tertiary hospitals in China. The Chinese version of four-item Morisky Medication Adherence Scale was used to assess the medication adherence of the patients and associated factors consisted of socio-demographic information, self-designed medication knowledge questionnaire, the 10-item Connor-Davidson Resilience Scale, the Beliefs about Medicine questionnaire, the Acceptance Illness Scale, and the Family Adaptation Partnership Growth and Resolve Index. Least Absolute Shrinkage and Selection Operator regression was performed to select significant factors. Concordance index, Hosmer-Lemeshow test and decision curve analysis were estimated.

RESULTS

The prevalence of medication non-adherence was 63.8%. Area under the curves ranged from 0.72 to 0.96 in internal and external validation sets. The predicted probabilities of the model were consistent with those of the actual observations by Hosmer-Lemeshow test (all P > .05). The final model included educational level, occupational status, duration of chronic kidney disease, medication beliefs (perceptions of the need to take medications and concerns about adverse effects), and illness acceptance (adaptation and acceptance of the disease).

CONCLUSIONS

There is a high prevalence of medication non-adherence among Chinese patients with chronic kidney disease. A nomogram model based on five factors has been successfully developed and validated and could be incorporated into long-term medication management.

Does access to free medication reduce health system costs? An evaluation of the Dispensary of Hope program

BACKGROUND: Cost-related medication nonadherence-when patients fail to take medication as prescribed because of the cost of the medication-has numerous consequences: more hospitalizations, avoidable deaths, and greater health care expenditures. Dispensary of Hope is a charitable medication access program that collects and distributes pharmaceuticals to pharmacies to dispense free of charge to patients with no insurance, low incomes, and chronic conditions. OBJECTIVE: To estimate the differences in medical costs and utilization of hospital patients enrolled in the Dispensary of Hope program relative to those who were not enrolled. METHODS: We used administrative claims data from 2 health systems participating in Dispensary of Hope to identify those in the program and a comparison group, respectively. Claims data included emergency department (ED) encounters, inpatient encounters, costs, and prescriptions. Health system 1 (HS1) data began July 1, 2016, and ended December 31, 2019; health system 2 (HS2) data ran from March 10, 2014, to December 31, 2019. Program enrollment dates (index dates) were identified via program registration or prescription fills. We propensity score weighted a comparison population from HS1 and HS2, respectively, to match program patient demographic and comorbidity characteristics. We estimated changes in costs, ED visits, inpatient stays, and primary care sensitive ED visits over time between the 2 groups (difference-indifference) over 18 months preenrollment and postenrollment. RESULTS: HS1 comparison (n = 6,714) and Dispensary of Hope (n = 880) groups were balanced on age, sex, race and ethnicity, and comorbidities; both populations were approximately 46 years old, 43% female, 64% White, with an average of 3.0 comorbidities. The HS2 samples were almost 50 years old and a majority female (56%) and Black (55%). Per-person annual costs at HS1 decreased by $3,161 (P < 0.05) more in the Dispensary of Hope group than in the comparison group from the preenrollment to the postenrollment period. Inpatient stays decreased by 200 stays per 1,000 patients per year (P = 0.02) and ED visits increased by 0.32 (P < 0.01) on a yearly basis relative to the comparison group. Primary care sensitive ED visits increased over the period. No results were statistically significant in HS2. CONCLUSIONS: We found substantial reductions in costs and inpatient stays for Dispensary of Hope HS1 participants, and we did not find significant results at HS2. Differences between the health systems or patient populations could explain these varying results. Our study represents a rigorous, multistate evaluation that highlights the impact of a charitable medication access program on hospital utilization for the medically underserved population. DISCLOSURES: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this work was funded and supported by Dispensary of Hope.

Neuroticism and Conscientiousness Moderate the Effect of Oral Medication Beliefs on Adherence of People with Mental Illness during the Pandemic

Background. After the declaration of the pandemic status in several countries, the continuity of face-to-face visits in psychiatric facilities has been delayed or even interrupted to reduce viral spread. Little is known about the personality factors associated with medication beliefs and adherence amongst individuals with mental illness during the COVID-19 pandemic. This brief report describes a preliminary naturalistic longitudinal study that explored whether the Big Five personality traits prospectively moderate the effects of medication beliefs on changes in adherence during the pandemic for a group of outpatients with psychosis or bipolar disorder. Methods. Thirteen outpatients undergoing routine face-to-face follow-up assessments during the pandemic were included (41 observations overall) and completed the Revised Italian Version of the Ten-Item Personality Inventory, the Beliefs about Medicines Questionnaire, the Morisky Medication Adherence Scale—8-item and the Beck Depression Inventory—II. Results. Participants had stronger concerns about their psychiatric medications rather than beliefs about their necessity, and adherence to medications was generally low. Participants who had more necessity beliefs than concerns had better adherence to medications. People scoring higher in Conscientiousness and Neuroticism traits and more concerned about the medication side effects had poorer adherence. Conclusions. These preliminary data suggest the importance of a careful assessment of the adherence to medications amongst people with psychosis/bipolar disorder during the pandemic. Interventions aimed to improve adherence might focus on patients’ medication beliefs and their Conscientiousness and Neuroticism personality traits.

Relationship Between Social Vulnerability Indicators and Trial Participant Attrition: Findings From the HYVALUE Trial

BACKGROUND

Social vulnerability indicators are associated with health care inequities and may similarly impede ongoing participation in research studies. We evaluated the association of social vulnerability indicators and research participant attrition in a trial focused on reducing health disparities.

METHODS

Self-identified White or Black adults enrolled in the HYVALUE trial (Hypertension and VALUEs), a randomized trial testing a values-affirmation intervention on medication adherence, from February 2017 to September 2019 were included. The self-reported measures of social vulnerability indicators included: (1) Black race; (2) female gender; (3) no health insurance; (4) unemployment; (5) a high school diploma or less; and (6) financial-resource strain. Full attrition was defined as not completing at least one 3- or 6-month follow-up study visit. Log-binomial regression models adjusted for age, gender, race, medical comorbidities, and the other social vulnerability indicators to estimate the relative risk of each social vulnerability indicator with study attrition.

RESULTS

Among 825 participants, the mean age was 63.3 years (±11.7 years), 60% were women, 54% were Black, and 97% reported at least one social vulnerability. Overall, 21% participants had full attrition after study enrollment. After adjustment for all other social vulnerabilities, only financial-resource strain remained consistently associated with full attrition (relative risk, 1.71 [95% CI, 1.28-2.29]). In a secondary analysis of partial attrition (completed only one follow-up visit), financial-resource strain (relative risk, 1.40 [95% CI, 1.09-1.81]) and being uninsured (relative risk, 1.54 [95% CI, 1.01-2.34]) were associated with partial attrition.

CONCLUSIONS

In a trial aimed at reducing disparities in medication adherence, participants who reported financial-resource strain had a higher risk of participant attrition independent of race or gender. Our findings suggest that efforts to retain diverse populations in clinical trials should extend beyond race and gender to consider other social vulnerability indicators.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT03028597.

The Impact of COVID-19 on Mental Health: The Role of Locus on Control and Internet Use

The true extent of the mental health implications of the COVID-19 pandemic are unclear, but early evidence suggests poorer mental health among those exposed to the pandemic. The Internet may have differential effects, by both connecting people with resources, or reinforce the constant checking of negative information. Moreover, locus of control becomes important in an uncontrollable pandemic. The current study aimed to examine whether exposure to COVID-19 would relate to greater symptoms of depression, anxiety and stress, and to examine the role of internet use and locus of control. Adults in the United States and five European countries (N = 1723) answered an online survey through the website Mturk. Results show elevated psychological symptoms among those who have become infected with COVID-19 or perceive themselves to be at high risk if infected. Experience using the Internet relates to fewer symptoms, but information seeking is associated with more symptoms. Internet social capital relates to fewer symptoms of depression. Having an external locus of control relates to greater symptoms. These findings suggest that public health officials need to focus on the mental health effects of the pandemic, and that internet use and locus of control could be targets to improve mental health in the population.

How Do Older Adults Recruited Using MTurk Differ From Those in a National Probability Sample?

A growing number of studies within the field of gerontology have included samples recruited from Amazon's Mechanical Turk (MTurk), an online crowdsourcing portal. While some research has examined how younger adult participants recruited through other means may differ from those recruited using MTurk, little work has addressed this question with older adults specifically. In the present study, we examined how older adults recruited via MTurk might differ from those recruited via a national probability sample, the Health and Retirement Study (HRS), on a battery of outcomes related to health and cognition. Using a Latin-square design, we examined the relationship between recruitment time, remuneration amount, and measures of cognitive functioning. We found substantial differences between our MTurk sample and the participants within the HRS, most notably within measures of verbal fluency and analogical reasoning. Additionally, remuneration amount was related to differences in time to complete recruitment, particularly at the lowest remuneration level, where recruitment completion required between 138 and 485 additional hours. While the general consensus has been that MTurk samples are a reasonable proxy for the larger population, this work suggests that researchers should be wary of overgeneralizing research conducted with older adults recruited through this portal.