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Background
Federally Qualified Health Centers (FQHC) provide services to individuals facing systemic barriers to health equity and are disproportionately affected by adverse social determinants of health. To better align healthcare services with the needs of those individuals experiencing health inequities, it is essential to screen for and document problematic social contributors to health in electronic health records, which health systems have been mandated to document by 2026.
Objectives
The aims of this study were to 1) determine the prevalence of documented social contributors to health Z-codes among patients receiving care through Colorado nurse-led FQHCs across urban, rural, and frontier settings; and 2) estimate healthcare utilization and expenditures associated with the presence of documented social contributors to health Z-codes compared to a matched sample of patients without that Z-code documentation.
Methods
We conducted a secondary analysis of the Colorado All Payers Claim Database. Social contributor of health ICD-10 Z-codes, reflecting problematic social structural circumstances as defined by Healthy People 2030, were extracted from patients receiving care in FQHCs. Social contributor of health-related charges were computed using propensity matching to compare individuals with and without documented social contributors of health.
Results
Documentation of social contributors of health Z-codes was notably low. Housing instability was the most common Z-code documented. Chronic pulmonary disease, diabetes, and heart disease were the most prevalent comorbidities among those with identified social contributors of health. The majority of patients with social contributors of health Z-codes were insured through Medicaid and lived in rural areas. Persons with documented social contributors of health had significantly higher predicted annual medical expenditures compared to those without documentation.
Discussion
The low prevalence of social contributors of health coding aligns with previous studies and represents a missed opportunity to provide targeted interventions for populations experiencing adverse social contributors. These findings underscore the need for strategizing and implementing plans to identify and code social contributors of health, especially in facilities serving those experiencing health inequities. Improved documentation of social contributors to health can facilitate data-driven resource allocation and tailored interventions to address adverse social determinants and promote health equity.
Background
Chronic pain is a major cause of distress and disability, and biomarkers may aid in the assessment and treatment of it. Urine metabolites may be valuable bioindicators that can provide biological insight regarding chronic pain.
Objectives
To investigate the relationship between a multimarker composite measure of metabolites and patient-reported outcomes scores in adults with chronic pain, using data from a pragmatic clinical trial with a sequential, multiple-assignment randomized trial design.
Methods
Self-reported measures and urine samples from 169 active-duty service members with chronic pain were collected. Urine was analyzed using a preestablished panel of metabolites, including four previously identified biomarkers of pain: kynurenic acid, pyroglutamic acid, ethylmalonic acid, and methylmalonate. Multivariable linear regression models—adjusted for participant characteristics such as age and sex—were used to cross-sectionally examine the relationship between 11 patient-reported outcomes (fatigue, sleep-related impairment, anxiety, depression, anger, pain catastrophizing, physical function, pain interference, satisfaction with participation with social roles, pain intensity, and pain impact score) and the four urine metabolites both individually and as a composite (urine metabolite pain indicator, or UMPI). Given the study’s small sample size and exploratory nature, a significance threshold of p ≤ .10 was used for all analyses.
Results
The UMPI showed statistically significant associations with five self-reported measures (fatigue, anxiety, depression, physical functioning, and pain impact score); adjusted Pearson correlations ranged from .18 to .25. Individual metabolite analyses supported these findings, with all relationships between individual metabolites and self-reported measures showing positive associations. Kynurenic acid and ethylmalonic acid showed the strongest associations, each having statistically significant relationships with four individual self-reported measures, while pyroglutamic acid had statistically significant relationships with three self-reported measures and methylmalonate with none. The UMPI demonstrated feasible reliability.
Discussion
Our finding of associations between the UMPI and components of the self-reported measures supports the development of the UMPI and these four urine metabolites as biomarkers for chronic pain outcomes. Further research is planned and will be essential for establishing mechanistic insight and guiding biomarker development within the context of pain management.
Background
The wear and tear from chronic stress exposure has been linked to premature aging through allostatic load; however, it is unclear how chronic stress exposure affects physical functioning and physical activity in older adults.
Objectives
The study aims were to examine the behavioral and functional adaptation to chronic stress in older adults and its mediational pathways.
Methods
Data from the Health and Retirement Study 2016 and 2020 (N = 3075, mean age 66 years) were analyzed. Chronic and perceived stress exposure was quantified using Troxel’s Chronic Stressors Scale and Cohen’s Perceived Stress Scale. Physical activity was quantified using self-reported questionnaires, including light, moderate, and vigorous physical activity. Physical functioning was operated as a latent construct with four perceived physical limitations (i.e., difficulty in movement, hand strength, shortness of breath, and balance). The cross-sectional data were analyzed using latent regression analysis. The longitudinal data were analyzed using serial mediation based on MacKinnon’s bias-corrected bootstrap confidence intervals.
Results
Cross-sectionally, psychological stress, as a latent construct indicated by stress exposure and stress perception, explained more variances in perceived physical limitation than physical activity. Longitudinally, perceived stress and physical activity mediated the relationship between chronic stress exposure and perceived physical limitation with significant indirect effects. Furthermore, perceived physical limitation suppressed the effect of chronic stress exposure on physical activity levels. The effects of mediation and suppression remained significant after the adjustment for age, gender, years of education, race, number of comorbidities, working status, and marital status.
Discussion
The promotion of physical activity and physical functioning in older adults might not achieve the optimal outcome if the program design overlooks the target population’s chronic stress process and functional limitations.
Background
Older adults from specific racial and ethnic minoritized groups experience disproportionately higher asthma prevalence, morbidity, and mortality. They also often use emergency departments (EDs) to manage their asthma. High-quality primary care can improve asthma control and prevent ED use. Nurse practitioners (NPs) provide an increasing proportion of primary care to minoritized patients, yet often, they work in poor work environments that strain NP care.
Objectives
We examined whether racial and ethnic health disparities in ED visits among older adults with asthma are moderated by the NP work environment in primary care practices.
Methods
In 2018–2019, we used a cross-sectional design to collect survey data on NP work environments from 1,244 NPs in six geographically diverse states (i.e., Arizona, California, New Jersey, Pennsylvania, Texas, and Washington). We merged the survey data with 2018 Medicare claims data from 46,658 patients with asthma to assess the associations of all-cause and ambulatory care-sensitive conditions, ED visits with NPs’ work environment, and race and ethnicity using logistic regression.
Results
More than one third of patients with asthma visited the ED in 1 year, and a quarter of them had an ambulatory care-sensitive condition ED visit. Black and Hispanic patients were more likely than White patients to have all-cause and ambulatory care-sensitive condition ED visits. NP work environment moderated the association of race with all-cause and ambulatory care-sensitive condition ED visits among patients with asthma. Greater standardized NP work environment scores were associated with lower odds of all-cause and ambulatory care-sensitive condition ED visits between Black and White patients.
Discussion
Disparities in ED visits between Black and White patients with asthma decrease when these patients receive care in care clinics with more favorable NP work environments. Preventing unnecessary ED visits among older adults with asthma is a likely benefit of favorable NP work environments. As the NP workforce grows, creating favorable work environments for NPs in primary care is vital for narrowing the health disparity gap.
Background
There is a dearth of research inclusive of African American adults living with obstructive sleep apnea (OSA) despite differences in symptom presentations compared to non-Hispanic White patient populations. Less is known regarding the potential effect of comorbidities, including hypertension, on commonly reported symptoms, such as fatigue, and their association with inflammatory biomarkers.
Objective
This longitudinal pilot study aimed to characterize fatigue symptom presentations among African American adults newly diagnosed with OSA and discern peripheral blood analytes linked to symptoms while accounting for co-occurring hypertension.
Methods
African American adults newly diagnosed with OSA with and without co-occurring hypertension were approached by study staff and recruited following their diagnostic visit with sleep medicine clinicians at two health systems and followed over 6 months after commencing continuous positive airway pressure treatment. Patient-Reported Outcomes Measurement Information System Fatigue surveys and plasma were collected every 3 months from 29 participants. Mixed-effects models examined changes in fatigue symptom presentations over time while accounting for plasma-based analytes and hypertension status.
Results
Despite higher fatigue symptom severity upon diagnosis, participants with co-occurring hypertension reported greater improvements in fatigue scores after commencing continuous positive airway pressure treatment for up to 6 months than those without hypertension. Inverse correlations were observed between fatigue scores, C-reactive protein, matrix metalloproteinase-8, and osteoprotegerin analyte levels among participants with/without hypertension. Across all participants, changes in interleukin-6 were associated with changes in fatigue scores in the first 3 months after diagnosis.
Discussion
Findings indicate that hypertension is linked to increased fatigue upon diagnosis of OSA in this sample of African American adults. Fatigue in persons with hypertension improved after treatment in this sample. These hypothesis-generating findings can inform future interventional studies aimed at improving fatigue among persons with OSA while leveraging markers linked to fatigue symptom severity as potential objective markers of improvements. Further research on the role of inflammatory markers, such as IL-6, on fatigue symptom presentations is warranted in persons with OSA.
Background
Chronic pain occurs in 30% of older adults. This prevalence rate is expected to increase, given the growth in the older adult population and the associated growth of chronic conditions contributing to pain. No population-based studies have provided detailed, longitudinal information on the experience of chronic pain in older adults; the pharmacological and nonpharmacological strategies that older adults use to manage their chronic pain; and the effect of chronic pain on patient-reported outcomes.
Objectives
This article aims to describe the protocol for a population-based, longitudinal study focused on understanding the experience of chronic pain in older adults. The objectives are to determine the prevalence and characteristics of chronic pain; identify the pharmacological and nonpharmacological pain treatments used; evaluate for longitudinal differences in biopsychosocial factors; and examine how pain types and pain trajectories affect important patient-reported outcomes. Also included are the results of a pilot study.
Methods
A population-based sample of approximately 1,888 older adults will be recruited from the National Opinion Research Center at the University of Chicago’s AmeriSpeak Panel to complete surveys at three waves: enrollment (Wave 1), 6 months (Wave 2), and 12 months (Wave 3). To determine the feasibility, a pilot test of the enrollment survey was conducted among 123 older adults.
Results
In the pilot study, older adults with chronic pain reported a range of pain conditions, with osteoarthritis being the most common. Participants reported an array of pharmacological and nonpharmacological pain strategies. Compared to participants without chronic pain, those with chronic pain reported lower physical and cognitive function and poorer quality of life. Data collection for the primary, longitudinal study is ongoing.
Discussion
This project will be the first longitudinal population-based study to examine the experience and overall effect of chronic pain in older adults. Pilot study results provide evidence of the feasibility of study methods. Ultimately, this work will inform the development of tailored interventions for older patients targeted to decrease pain and improve function and quality of life.
Background
Readmissions following hospitalization for common surgical procedures are prevalent among older adults and are disproportionally experienced by Hispanic patients. One potential explanation for these disparities is that Hispanic patients may receive care in hospitals with lower-quality nursing care.
Objectives
The objective of this study was to evaluate the relationship between the hospital-level work environment of nurses and hospital readmissions among older Hispanic patients.
Methods
Using linked data sources from 2014 to 2016, we conducted a cross-sectional analysis of 522 hospitals and 732,035 general, orthopedic, and vascular surgical patients (80,978 Hispanic patients and 651,057 non-Hispanic White patients) in four states. Multivariable logistic regression models were employed to determine the relationship between the work environment and older Hispanic patient readmissions at multiple time periods (7, 30, and 90 days).
Results
In final adjusted models that included an interaction between work environment and ethnicity, an increase in the quality of the work environment resulted in a decrease in the odds of readmission that was greater for older Hispanic surgical patients at all time periods. Specifically, an increase in three of the five work environment subscales (Nurse Participation in Hospital Affairs, Nursing Foundations for Quality of Care, and Staffing and Resource Adequacy) was associated with a reduction in the odds of readmission that was greater for Hispanic patients than their non-Hispanic White counterparts.
Discussion
System-level investments in the work environment may reduce Hispanic patient readmission disparities. This study’s findings may be used to inform the development of targeted interventions to prevent hospital readmissions for Hispanic patients.
Background
Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual.
Objectives
We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time.
Methods
We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns.
Results
Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year.
Conclusion
We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels.
Background
Up to 45% of patients report cancer-related cognitive impairment (CRCI). A variety of characteristics are associated with the occurrence and/or severity of CRCI. However, an important gap in knowledge of risk factors for CRCI is the relative contribution of each factor. The multifactorial model of cancer-related cognitive impairment (MMCRCI) is a conceptual model of CRCI that can be used to evaluate the strength of relationships between various factors and CRCI.
Objectives
The purpose of this study was to use structural regression methods to evaluate the MMCRCI using data from a large sample of outpatients receiving chemotherapy (n = 1,343). Specifically, the relationships between self-reported CRCI and four MMCRCI concepts (i.e., social determinants of health, patient-specific factors, treatment factors, and co-occurring symptoms) were examined. The goals were to determine how well the four concepts predicted CRCI and determine the relative contribution of each concept to deficits in perceived cognitive function.
Methods
This study is part of a larger, longitudinal study that evaluated the symptom experience of oncology outpatients receiving chemotherapy. Adult patients were diagnosed with breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding 4 weeks; were scheduled to receive at least two additional cycles of chemotherapy; were able to read, write, and understand English; and gave written informed consent. Self-reported CRCI was assessed using the attentional function index. Available study data were used to define the latent variables.
Results
On average, patients were 57 years of age, college educated, and with a mean Karnofsky Performance Status score of 80. Of the four concepts evaluated, whereas co-occurring symptoms explained the largest amount of variance in CRCI, treatment factors explained the smallest amount of variance. A simultaneous structural regression model that estimated the joint effect of the four exogenous latent variables on the CRCI latent variable was not significant.
Discussion
These findings suggest that testing individual components of the MMCRCI may provide useful information on the relationships among various risk factors, as well as refinements of the model. In terms of risk factors for CRCI, co-occurring symptoms may be more significant than treatment factors, patient-specific factors, and/or social determinants of health in patients receiving chemotherapy.
Background
Morning and evening fatigue are distinct and distressing symptoms experienced during chemotherapy that demonstrate a large amount of interindividual variability.
Objectives
The objectives of this study were to identify subgroups of patients with distinct morning and evening fatigue co-occurrence profiles and evaluate for differences among these subgroups in demographic, clinical, and symptom characteristics and quality of life.
Methods
Oncology patients (n = 1,334) completed the Lee Fatigue Scale to self-report morning and evening fatigue, six times over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct morning and evening physical fatigue profiles.
Results
Four distinct morning and evening fatigue profiles were identified (i.e., Both Low, Low Morning + Moderate Evening, Both Moderate, and Both High). Compared to the Both Low profile, the Both High profile was significantly younger, less likely to be married or partnered, more likely to live alone, had a higher comorbidity burden, and lower functional status. The Both High profile had higher levels of anxiety, depressive symptoms, sleep disturbance, and pain and lower levels of quality of life.
Discussion
The variability in the morning and evening severity scores among the four profiles supports the hypothesis that morning and evening fatigue are distinct but related symptoms. Clinically meaningful levels of both morning and evening fatigue were reported by 50.4% of our sample, which suggests that the co-occurrence of these two symptoms is relatively common. Patients in Both Moderate and Both High profiles experienced an extremely high symptom burden that warrants ongoing assessments and aggressive symptom management interventions. 
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