Medication cost problems among chronically ill adults in the US: did the financial crisis make a bad situation even worse?

A national internet survey was conducted between March and April 2009 among 27,302 US participants in the Harris Interactive Chronic Illness Panel. Respondents reported behaviors related to cost-related medication non-adherence (CRN) and the impacts of medication costs on other aspects of their daily lives. Among respondents aged 40–64 and looking for work, 66% reported CRN in 2008, and 41% did not fill a prescription due to cost pressures. More than half of respondents aged 40–64 and nearly two-thirds of those in this group who were looking for work or disabled reported other impacts of medication costs, such as cutting back on basic needs or increasing credit card debt. More than one-third of respondents aged 65+ who were working or looking for work reported CRN. Regardless of age or employment status, roughly half of respondents reporting medication cost hardship said that these problems had become more frequent in 2008 than before the economic recession. These data show that many chronically ill patients, particularly those looking for work or disabled, reported greater medication cost problems since the economic crisis began. Given links between CRN and worse health, the financial downturn may have had significant health consequences for adults with chronic illness

Engaging family supporters of adult patients with diabetes to improve clinical and patient-centered outcomes: study protocol for a randomized controlled trial

Abstract Background Most adults with diabetes who are at high risk for complications have family or friends who are involved in their medical and self-care (“family supporters”). These family supporters are an important resource who could be leveraged to improve patients’ engagement in their care and patient health outcomes. However, healthcare teams lack structured and feasible approaches to effectively engage family supporters in patient self-management support. This trial tests a strategy to strengthen the capacity of family supporters to help adults with high-risk diabetes engage in healthcare, successfully enact care plans, and lower risk of diabetes complications. Methods/design We will conduct a randomized trial evaluating the CO-IMPACT (Caring Others Increasing EnageMent in Patient Aligned Care Teams) intervention. Two hunded forty adults with diabetes who are at high risk for diabetes complications due to poor glycemic control or high blood pressure will be randomized, along with a family supporter (living either with the patient or remotely), to CO-IMPACT or enhanced usual primary care for 12 months. CO-IMPACT provides patient-supporter dyads: it provides one coaching session addressing supporter techniques for helping patients with behavior change motivation, action planning, and proactive communication with healthcare providers; biweekly automated phone calls to prompt dyad action on new patient health concerns; phone calls to prompt preparation for patients’ primary care visits; and primary care visit summaries sent to both patient and supporter. Primary outcomes are changes in patient activation, as measured by the Patient Activation Measure-13, and change in 5-year cardiac event risk, as measured by the United Kingdom Prospective Diabetes Study cardiac risk score for people with diabetes. Secondary outcomes include patients’ diabetes self-management behaviors, diabetes distress, and glycemic and blood pressure control. Measures among supporters will include use of effective support techniques, burden, and distress about patient’s diabetes care. Discussion If effective in improving patient activation and diabetes management, CO-IMPACT will provide healthcare teams with evidence-based tools and techniques to engage patients’ available family or friends in supporting patient self-management, even if they live remotely. The core skills addressed by CO-IMPACT can be used by patients and their supporters over time to respond to changing patient health needs and priorities. Trial registration ClinicalTrials.gov, NCT02328326 . Registered on 31 December 2014.https://deepblue.lib.umich.edu/bitstream/2027.42/145179/1/13063_2018_Article_2785.pd

Engaging family supporters of adult patients with diabetes to improve clinical and patient-centered outcomes: study protocol for a randomized controlled trial

Abstract Background Most adults with diabetes who are at high risk for complications have family or friends who are involved in their medical and self-care (“family supporters”). These family supporters are an important resource who could be leveraged to improve patients’ engagement in their care and patient health outcomes. However, healthcare teams lack structured and feasible approaches to effectively engage family supporters in patient self-management support. This trial tests a strategy to strengthen the capacity of family supporters to help adults with high-risk diabetes engage in healthcare, successfully enact care plans, and lower risk of diabetes complications. Methods/design We will conduct a randomized trial evaluating the CO-IMPACT (Caring Others Increasing EnageMent in Patient Aligned Care Teams) intervention. Two hunded forty adults with diabetes who are at high risk for diabetes complications due to poor glycemic control or high blood pressure will be randomized, along with a family supporter (living either with the patient or remotely), to CO-IMPACT or enhanced usual primary care for 12 months. CO-IMPACT provides patient-supporter dyads: it provides one coaching session addressing supporter techniques for helping patients with behavior change motivation, action planning, and proactive communication with healthcare providers; biweekly automated phone calls to prompt dyad action on new patient health concerns; phone calls to prompt preparation for patients’ primary care visits; and primary care visit summaries sent to both patient and supporter. Primary outcomes are changes in patient activation, as measured by the Patient Activation Measure-13, and change in 5-year cardiac event risk, as measured by the United Kingdom Prospective Diabetes Study cardiac risk score for people with diabetes. Secondary outcomes include patients’ diabetes self-management behaviors, diabetes distress, and glycemic and blood pressure control. Measures among supporters will include use of effective support techniques, burden, and distress about patient’s diabetes care. Discussion If effective in improving patient activation and diabetes management, CO-IMPACT will provide healthcare teams with evidence-based tools and techniques to engage patients’ available family or friends in supporting patient self-management, even if they live remotely. The core skills addressed by CO-IMPACT can be used by patients and their supporters over time to respond to changing patient health needs and priorities. Trial registration ClinicalTrials.gov, NCT02328326 . Registered on 31 December 2014.https://deepblue.lib.umich.edu/bitstream/2027.42/145179/1/13063_2018_Article_2785.pd

Sharing the Care: The Role of Family in Chronic Illness

Outlines the benefits and functions of family involvement in chronic care support and synthesizes research and case reports of programs to offer guidance on designing programs to engage and assist family members. Lists tools and resources

Using item response theory with health system data to identify latent groups of patients with multiple health conditions.

A critical step toward tailoring effective interventions for heterogeneous and medically complex patients is to identify clinically meaningful subgroups on the basis of their comorbid conditions. We applied Item Response Theory (IRT), a potentially useful tool to identify clinically meaningful subgroups, to characterize phenotypes within a cohort of high-risk patients. This was a retrospective cohort study using 68,400 high-risk Veteran's Health Administration (VHA) patients. Thirty-one physical and mental health diagnosis indicators based on ICD-9 codes from patients' inpatient, outpatient VHA and VA-paid community care claims. Results revealed 6 distinct subgroups of high-risk patients were identified: substance use, complex mental health, complex diabetes, liver disease, cancer with cardiovascular disease, and cancer with mental health. Multinomial analyses showed that subgroups significantly differed on demographic and utilization variables which underscored the uniqueness of the groups. Using IRT models with clinical diagnoses from electronic health records permitted identification of diagnostic constellations among otherwise undifferentiated high-risk patients. Recognizing distinct patient profiles provides a framework from which insights into medical complexity of high-risk patients can be explored and effective interventions can be tailored

Poor patient health is associated with higher caregiver burden for older adults with advanced cancer

ObjectivesFamily caregiver burden among older adults with advanced cancer remains poorly understood. We sought to (1) identify patient factors associated with caregiver burden and (2) examine how amount of time caregiving modifies these relationships.MethodsCross-sectional analysis of baseline data from a cluster-randomized palliative care intervention trial including patients with advanced cancer and their family caregivers, recruited from 17 oncology practices in Pennsylvania. Caregiver burden was measured using Zarit Burden Interview (ZBI-12; range 0-48). Patient factors included functional status (Eastern Cooperative Oncology Group), symptom burden (Edmonton Symptom Assessment Scale), anxiety and depression (Hospital Anxiety and Depression Scale), and quality of life (Functional Assessment of Chronic Illness Therapy - Palliative Care). Using adjusted multivariable regression, we analyzed (1) independent associations between patient factors and caregiver burden and (2) how weekly caregiving hours modified these relationships.ResultsAmong 441 patient-caregiver dyads, mean patient age was 70 ± 10 and caregiver age was 62 ± 13 years. Most caregivers (59%) were patients' partners. Caregivers reported 44.5 ± 53.5 average hours spent caregiving weekly; mean ZBI-12 scores were 10.3 ± 7.3. Worse patient functional status (β = 4.20, p < 0.01), poorer quality of life (β = -0.07, p < 0.01), more anxiety (β = 0.33, p < 0.01) and depression (β = 0.33, p < 0.01) were associated with higher caregiver burden; caregiving hours did not affect these relationships.ConclusionsIn advanced cancer, poor patient physical and mental health is associated with higher caregiver burden regardless of hours caregiving; future studies should examine interventions tailored to alleviate caregiver burden for this group