Symptom characteristics, perceived causal attributions, and contextual factors influencing self-care behaviors: An ecological daily assessment study of adults with chronic illness.

OBJECTIVE: Insights into how symptoms influence self-care can guide patient education and improve symptom control. This study examined symptom characteristics, causal attributions, and contextual factors influencing self-care of adults with arthritis, asthma, chronic obstructive pulmonary disease, diabetes, or heart failure. METHODS: Adults (n = 81) with a symptomatic chronic illness participated in a longitudinal observational study. Using Ecological Daily Assessment, participants described one symptom twice daily for two weeks, rating its frequency, severity, bothersomeness, duration, causes, and self-care. RESULTS: The most frequent symptoms were fatigue and shortness of breath. Pain, fatigue, and joint stiffness were the most severe and bothersome. Most participants engaged in active self-care, but those with fatigue and pain engaged in passive self-care (i.e., rest or do nothing), especially when symptoms were infrequent, mild, somewhat bothersome, and fleeting. In people using passive self-care, thoughts, feelings, and the desire to conceal symptoms from others interfered with self-care. CONCLUSION: Most adults with a chronic illness take an active role in managing their symptoms but some conceal or ignore symptoms until the frequency, severity, bothersomeness, or duration increases. PRACTICE IMPLICATIONS: When patients report symptoms, asking about self-care behaviors may reveal inaction or ineffective approaches. A discussion of active self-care options may improve symptom control.

Social Determinants of Health are Associated with Coping of Informal Caregivers of Adults with Heart Failure.

We explored the influence of social determinants of health (SDH) risk on stress and coping style in heart failure (HF) caregivers. In this cross-sectional study, data from 250 caregivers were analyzed. Multivariable linear regression analyses were performed to determine the extent to which SDH risk (measured using a modified PRAPARE tool (National Association of Community Health Centers), range 0-22) predicted stress (Perceived Stress Scale, 0-56) and coping style (active (0-45), avoidance (0-30), and minimization (0-30)) while accounting for caregiver burden (HF Caregiver Questionnaire (HF-CQ) 0-100). Multivariable regression analysis with backwards elimination variable selection approach was used to identify which SDH risk factors best predicted coping styles. SDH risk was significantly associated with avoidance and minimization coping styles. Each unit increase in SDH risk was associated with an increase of 0.6 ± 0.2 units (p = .0008) in avoidance and 0.7 ± 0.2 units (p < .0001) in minimization coping style. Race and "supporting others" significantly predicted avoidance coping style; scores were 3.3 ± 0.8 units greater for caregivers who were not White (p < .0001) and 1.4 ± 0.5 units greater (p < .01) for each additional person whom they supported. Race significantly predicted minimization coping style; scores were 4.4 ± 0.7 units greater for caregivers who were not White (p < .0001). Caregivers with higher SDH risk may avoid and minimize to cope with caregiving challenges.

Principles for Health Information Collection, Sharing, and Use: A Policy Statement From the American Heart Association.

The evolution of the electronic health record, combined with advances in data curation and analytic technologies, increasingly enables data sharing and harmonization. Advances in the analysis of health-related and health-proxy information have already accelerated research discoveries and improved patient care. This American Heart Association policy statement discusses how broad data sharing can be an enabling driver of progress by providing data to develop, test, and benchmark innovative methods, scalable insights, and potential new paradigms for data storage and workflow. Along with these advances come concerns about the sensitive nature of some health data, equity considerations about the involvement of historically excluded communities, and the complex intersection of laws attempting to govern behavior. Data-sharing principles are therefore necessary across a wide swath of entities, including parties who collect health information, funders, researchers, patients, legislatures, commercial companies, and regulatory departments and agencies. This policy statement outlines some of the key equity and legal background relevant to health data sharing and responsible management. It then articulates principles that will guide the American Heart Association's engagement in public policy related to data collection, sharing, and use to continue to inform its work across the research enterprise, as well as specific examples of how these principles might be applied in the policy landscape. The goal of these principles is to improve policy to support the use or reuse of health information in ways that are respectful of patients and research participants, equitable in impact in terms of both risks and potential benefits, and beneficial across broad and demographically diverse communities in the United States.

Sociodemographic Indicators of Social Position and Self-care Maintenance in Adults with Heart Failure.

Social determinants of health (SDH) are known to influence health. Adequate self-care maintenance improves heart failure (HF) outcomes. However, the relationship between self-care maintenance and SDH remains unclear. Explore the relationship between sociodemographic indicators of social position and self-care maintenance in adults with HF. This was a secondary analysis of data from a cross-sectional descriptive study of 543 adults with HF. Participants completed the Self-Care of HF Index and a sociodemographic survey. We used multiple regression with backward elimination to determine which SDH variables were determinants of self-care maintenance. Marital status (p = .02) and race (p = .02) were significant determinants of self-care maintenance. Education (p = .06) was highest in Whites (35.6%). These variables explained only 3.8% of the variance in self-care maintenance. Race, education, and marital status were associated with HF self-care maintenance. SDH is complex and cannot be explained with simple sociodemographic characteristics.

Lessons learned from the implementation of a video health coaching technology intervention to improve self-care of family caregivers of adults with heart failure.

Individuals with heart failure (HF) typically live in the community and are cared for at home by family caregivers. These caregivers often lack supportive services and the time to access those services when available. Technology can play a role in conveniently bringing needed support to these caregivers. The purpose of this article is to describe the implementation of a virtual health coaching intervention with caregivers of HF patients ("Virtual Caregiver Coach for You"-ViCCY). A randomized controlled trial is currently in progress to test the efficacy of the intervention to improve self-care. In this trial, 250 caregivers will be randomly assigned to receive health information via a tablet computer (hereafter, tablet) plus 10 live health coaching sessions delivered virtually (intervention group; n = 125) or health information via a tablet only (control group; n = 125). Each tablet has specific health information websites preloaded. To inform others embarking on similar technology projects, here we highlight the technology challenges encountered with the first 15 caregivers who received the ViCCY intervention and the solutions used to overcome those challenges. Several adaptations to the implementation of ViCCY were needed to address hardware, software, and network connectivity challenges. Even with a well-designed research implementation plan, it is important to re-examine strategies at every step to solve implementation barriers and maximize fidelity to the intervention. Researcher and interventionist flexibility in adapting to new strategies is essential when implementing a technology-based virtual health coaching intervention.

Cross-cultural assessment of the Self-Care of Chronic Illness Inventory: A psychometric evaluation.

BACKGROUND: Self-care refers to behaviors that individuals adopt to prevent or maintain the stability of an illness (self-care maintenance), to monitor signs and symptoms (self-care monitoring), and to respond to signs and symptoms of an illness exacerbation (self-care management). A generic measure of self-care, the Self-Care of Chronic Illness Inventory, based on the Theory of Self-Care of Chronic Illness, was developed for use in individuals with any number and type of chronic conditions. OBJECTIVE: The current study investigated the measurement equivalence of the Self-Care of Chronic Illness Inventory in individuals from three different cultural groups. We were interested in determining if Italians, Swedes, and Americans interpret the measure in a conceptually similar way. METHODS: This cross-sectional study enrolled 1629 patients, 784 recruited in Italy, 438 in Sweden and 407 in the United States. Self-care (self-care maintenance, self-care monitoring and self-care management) was measured with the Self-Care of Chronic Illness Inventory. A multi-group confirmatory factor analytic approach was used to assess the equivalence of the measures across the three countries. Configural, metric, scalar and strict invariance were tested through a series of nested models where increasingly stringent equality constraints were posited. RESULTS: Participants were mostly males (56.3%), older adults (69.8%) and had at least two chronic conditions. Results indicated that three out of four measurement equivalence levels were partially or totally supported in all three of the Self-Care of Chronic Illness Inventory scales. The partial scalar invariance level was reached for self-care maintenance [χ2(50) = 63.495, p = 0.095; RMSEA = 0.022, p = 0.999, 90% CI = 0.000 0.038; CFI = 0.981; TLI = 0.977; SRMR = 0.036], self-care monitoring [χ2(22) = 28.770, p = 0.095; RMSEA = 0.024, p = 0.978, 90% CI = 0.000 0.046; CFI = 0.996; TLI = 0.995; SRMR = 0.054], and self-care management [χ2(51) = 91.334, p = 0.001; RMSEA = 0.048, p = 0.576, 90% CI = 0.031 0.063; CFI = 0.949; TLI = 0.937; SRMR = 0.047] scales. CONCLUSIONS: These findings suggest that patients in the three countries used an identical cognitive framework or mental model when responding and used the 1-5 Likert response scale in an almost identical way, almost without bias. In spite of sociocultural differences, patients in these countries seem to share the same fundamental view of self-care. The results of the Self-Care of Chronic Illness Inventory will be comparable in these countries.

A behavioral economics-based telehealth intervention to improve aspirin adherence following hospitalization for acute coronary syndrome.

PURPOSE: A significant number of patients with acute coronary syndrome (ACS) are nonadherent to aspirin after hospital discharge, with an associated increased risk of subsequent cardiovascular events. The purpose of this pilot study was to test the efficacy of a telehealth intervention based on behavioral economics to improve aspirin adherence following hospitalization for ACS. METHODS: We enrolled 130 participants (c¯X = 58 ± 10.7 years of age, 38% female, 45% black) from two hospitals. Patients were eligible if they owned a smartphone and were admitted to the hospital for ACS, prescribed aspirin at discharge, and responsible for administering their own medications. Consenting participants were randomized to the intervention or usual care group. The intervention group was eligible to receive up to $50 per month if they took their medicine daily, with $2 per day deducted if a dose was missed. All participants received an electronic monitoring (EM) pill bottle containing a 90-day supply of aspirin, which was used to measure adherence calculated as the proportion of prescribed drug taken using the EM device. Based on the skewness in the adherence distribution, quantile regression was used to evaluate the effect of the intervention on median adherence over time. RESULTS: After 90 days, adherence fell in the control group but remained high in the intervention group (median adherence 81% vs 90%, P = .18). Rehospitalization was higher in the control group (24% vs 13%, P = .17). CONCLUSION: A loss aversion behavioral economics-based telehealth intervention is a promising approach to improving aspirin adherence following hospitalization for ACS.

Development of a self-care questionnaire for clinical assessment of self-care in patients with inflammatory bowel disease: A psychometric evaluation.

BACKGROUND: Patients with inflammatory bowel disease have lifelong needs to learn how to manage their symptoms and life situation. The range of actions that patients take in order to manage daily life and maintain health is referred to as self-care. Assessment of self-care in patients with inflammatory bowel disease could allow targeted support and education by health care professionals. There are no existing measures assessing self-care in patients with inflammatory bowel disease. OBJECTIVES: The aim was to develop and evaluate the self-care questionnaire for assessment of self-care among patients with inflammatory bowel disease. METHODS: Qualitative and quantitative methods were used to develop the inflammatory bowel disease self-care questionnaire. The development and evaluation process was performed in three phases: (1) item generation based on interviews with patients with inflammatory bowel disease (n = 20), (2) content validation in a panel of experts (n = 6) and patients (n = 100) assessed with the content validity index, cognitive interviews and quantifying and ranking the items to determine the usability of the questionnaire, and (3) final evaluation through a pilot study (n = 93) with test-retest evaluation (n = 50). An expert review group of three nurses and one physician continuously discussed the result during the development process. RESULTS: A total of 91 patients with Crohn's disease and 102 with ulcerative colitis participated. The final self-care questionnaire consists of 22 items. Assessment of content validity indicated that the items were adequate and easy to understand. Test-retest reliability was confirmed with intraclass correlations above 0.6 after a three week interval, for all items except one. CONCLUSION: An inflammatory bowel disease-specific self-care questionnaire was developed using structured methods. The evaluation indicated good validity and reliability. The questionnaire may be a useful tool to assess the ability of patients with inflammatory bowel disease to perform routine self-care.

Marginalization: Conceptualizing patient vulnerabilities in the framework of social determinants of health-An integrative review.

Scientific advances in health care have been disproportionately distributed across social strata. Disease burden is also disproportionately distributed, with marginalized groups having the highest risk of poor health outcomes. Social determinants are thought to influence health care delivery and the management of chronic diseases among marginalized groups, but the current conceptualization of social determinants lacks a critical focus on the experiences of people within their environment. The purpose of this article was to integrate the literature on marginalization and situate the concept in the framework of social determinants of health. We demonstrate that social position links marginalization and social determinants of health. This perspective provides a critical lens to assess the societal power dynamics that influence the construction of the socio-environmental factors affecting health. Linking marginalization with social determinants of health can improve our understanding of the inequities in health care delivery and the disparities in chronic disease burden among vulnerable groups.

Palliative Care in Heart Failure: Rationale, Evidence, and Future Priorities.

Patients with heart failure (HF) and their families experience stress and suffering from a variety of sources over the course of the HF experience. Palliative care is an interdisciplinary service and an overall approach to care that improves quality of life and alleviates suffering for those living with serious illness, regardless of prognosis. In this review, we synthesize the evidence from randomized clinical trials of palliative care interventions in HF. While the evidence base for palliative care in HF is promising, it is still in its infancy and requires additional high-quality, methodologically sound studies to clearly elucidate the role of palliative care for patients and families living with the burdens of HF. Yet, an increase in attention to primary palliative care (e.g., basic physical and emotional symptom management, advance care planning), provided by primary care and cardiology clinicians, may be a vehicle to address unmet palliative needs earlier and throughout the illness course.

Identifying distinct risk profiles to predict adverse events among community-dwelling older adults.

Preventing adverse events among chronically ill older adults living in the community is a national health priority. The purpose of this study was to generate distinct risk profiles and compare these profiles in time to: hospitalization, emergency department (ED) visit or death in 371 community-dwelling older adults enrolled in a Medicare demonstration project. Guided by the Behavioral Model of Health Service Use, a secondary analysis was conducted using Latent Class Analysis to generate the risk profiles with Kaplan Meier methodology and log rank statistics to compare risk profiles. The Vuong-Lo-Mendell-Rubin Likelihood Ratio Test demonstrated optimal fit for three risk profiles (High, Medium, and Low Risk). The High Risk profile had significantly shorter time to hospitalization, ED visit, and death (p < 0.001 for each). These findings provide a road map for generating risk profiles that could enable more effective targeting of interventions and be instrumental in reducing health care costs for subgroups of chronically ill community-dwelling older adults.

Afternoon Napping and Cognition in Chinese Older Adults: Findings from the China Health and Retirement Longitudinal Study Baseline Assessment.

OBJECTIVES: To examine the cross-sectional associations between self-reported postlunch napping and structured cognitive assessments in Chinese older adults. DESIGN: Cross-sectional cohort study. SETTING: China. PARTICIPANTS: Individuals aged 65 and older from the baseline national wave of the China Health and Retirement Longitudinal Study (CHARLS) (N = 2,974). MEASUREMENTS: Interview-based cognitive assessments of orientation and attention, episodic memory, visuospatial abilities, and a combined global cognition score incorporating these assessments. Other self-reported or interview-based assessments included postlunch napping duration, nighttime sleep duration, demographic characteristics, health habits, comorbidities, functional status and social activities. According to reported napping duration, older adults were categorized as non-nappers (0 minutes), short nappers (<30 minutes), moderate nappers (30-90 minutes), and extended nappers (>90 minutes). RESULTS: Postlunch napping was reporting in 57.7% of participants for a mean of 63 minutes. Cognitive function was significantly associated with napping (P < .001). Between-group comparisons showed that moderate nappers had better overall cognition than nonnappers (P < .001) or extended nappers (P = .01). Nonnappers also had significantly poorer cognition than short nappers (P = .03). In multiple regression analysis, moderate napping was significantly associated with better cognition than non- (P = .004), short (P = .04), and extended napping (P = .002), after controlling for demographic characteristics, body mass index, depression, instrumental activities of daily living, social activities, and nighttime sleep duration. CONCLUSION: A cross-sectional association was found between moderate postlunch napping and better cognition in Chinese older adults. The cross-sectional design and self-reported measures of sleep limited the findings. Longitudinal studies with objective napping measures are needed to further test this hypothesis.

Tools for Economic Analysis of Patient Management Interventions in Heart Failure Cost-Effectiveness Model: A Web-based program designed to evaluate the cost-effectiveness of disease management programs in heart failure.

BACKGROUND: Heart failure disease management programs can influence medical resource use and quality-adjusted survival. Because projecting long-term costs and survival is challenging, a consistent and valid approach to extrapolating short-term outcomes would be valuable. METHODS: We developed the Tools for Economic Analysis of Patient Management Interventions in Heart Failure Cost-Effectiveness Model, a Web-based simulation tool designed to integrate data on demographic, clinical, and laboratory characteristics; use of evidence-based medications; and costs to generate predicted outcomes. Survival projections are based on a modified Seattle Heart Failure Model. Projections of resource use and quality of life are modeled using relationships with time-varying Seattle Heart Failure Model scores. The model can be used to evaluate parallel-group and single-cohort study designs and hypothetical programs. Simulations consist of 10,000 pairs of virtual cohorts used to generate estimates of resource use, costs, survival, and incremental cost-effectiveness ratios from user inputs. RESULTS: The model demonstrated acceptable internal and external validity in replicating resource use, costs, and survival estimates from 3 clinical trials. Simulations to evaluate the cost-effectiveness of heart failure disease management programs across 3 scenarios demonstrate how the model can be used to design a program in which short-term improvements in functioning and use of evidence-based treatments are sufficient to demonstrate good long-term value to the health care system. CONCLUSION: The Tools for Economic Analysis of Patient Management Interventions in Heart Failure Cost-Effectiveness Model provides researchers and providers with a tool for conducting long-term cost-effectiveness analyses of disease management programs in heart failure.

'It could be worse ... lot's worse!' Why health-related quality of life is better in older compared with younger individuals with heart failure.

BACKGROUND: health-related quality of life (HRQOL) is markedly impaired in patients with heart failure (HF). Despite worse prognosis and physical status, older patients have better HRQOL than younger patients. OBJECTIVE: to determine reasons for differences in HRQOL in older compared with younger HF patients. METHODS: a mixed methods approach was used. HRQOL was assessed using the Minnesota Living with HF Questionnaire and compared among HF patients (n = 603) in four age groups (≤ 53, 54-62, 63-70 and ≥ 71 years). Socio-demographic/clinical and psychological factors related to HRQOL were determined in four groups using multiple regressions. Patients (n = 20) described their views of HRQOL during semi-structured interviews. RESULTS: HRQOL was worse in the youngest group, and best in the two oldest groups. The youngest group reported higher levels of depression and anxiety than the oldest group. Anxiety, depression and functional capacity predicted HRQOL in all age groups. Qualitatively, patients in all age groups acknowledged the negative impact of HF on HRQOL; nonetheless older patients reported that their HRQOL exceeded their expectations for their age. Younger patients bemoaned the loss of activities and roles, and reported their HRQOL as poor. CONCLUSIONS: better HRQOL among older HF patients is the result, in part, of better psychosocial status. The major factor driving better HRQOL among older patients is a change with advancing age in expectations about what constitutes good HRQOL.

Introduction of the Tools for Economic Analysis of Patient Management Interventions in Heart Failure Costing Tool: a user-friendly spreadsheet program to estimate costs of providing patient-centered interventions.

BACKGROUND: Patient-centered health care interventions, such as heart failure disease management programs, are under increasing pressure to demonstrate good value. Variability in costing methods and assumptions in economic evaluations of such interventions limit the comparability of cost estimates across studies. Valid cost estimation is critical to conducting economic evaluations and for program budgeting and reimbursement negotiations. METHODS AND RESULTS: Using sound economic principles, we developed the Tools for Economic Analysis of Patient Management Interventions in Heart Failure (TEAM-HF) Costing Tool, a spreadsheet program that can be used by researchers and health care managers to systematically generate cost estimates for economic evaluations and to inform budgetary decisions. The tool guides users on data collection and cost assignment for associated personnel, facilities, equipment, supplies, patient incentives, miscellaneous items, and start-up activities. The tool generates estimates of total program costs, cost per patient, and cost per week and presents results using both standardized and customized unit costs for side-by-side comparisons. Results from pilot testing indicated that the tool was well-formatted, easy to use, and followed a logical order. Cost estimates of a 12-week exercise training program in patients with heart failure were generated with the costing tool and were found to be consistent with estimates published in a recent study. CONCLUSIONS: The TEAM-HF Costing Tool could prove to be a valuable resource for researchers and health care managers to generate comprehensive cost estimates of patient-centered interventions in heart failure or other conditions for conducting high-quality economic evaluations and making well-informed health care management decisions.

From novice to expert: confidence and activity status determine heart failure self-care performance.

BACKGROUND: In a previous, small, mixed-methods study, heart failure patients were described as novice, expert, or inconsistent in self-care. In that study, self-care types differed in experience, confidence, attitudes, and skill. OBJECTIVES: The aims of this study were to validate the novice-to-expert self-care typology and to identify determinants of the heart failure self-care types. METHODS: A cross-sectional descriptive study was performed using data from 689 adults with heart failure (61 ± 2.5 years; 36% female, 50% New York Heart Association class III). Two-step likelihood cluster analysis was used to classify patients into groups using all items in the maintenance and management scales of the Self-care of Heart Failure Index. Multinomial regression was used to identify the determinants of each self-care cluster, testing the influence of age, gender, left ventricular ejection fraction, body mass index, depression, anxiety, hostility, perceived control, social support, activity status (Duke Activity Status Index), and self-care confidence. RESULTS: Self-care behaviors clustered best into three types: novice (n = 185, 26.9%), expert (n = 229, 33.2%), and inconsistent (n = 275, 39.9%). The model predicting self-care cluster membership was significant (χ2 = 88.67, p < .001); Duke Activity Status Index score and Self-care of Heart Failure Index confidence score were the only significant individual factors. Higher activity status increased the odds that patients would be inconsistent (odds ratio [OR] = 1.02-1.09) or novice (OR = 1.02-1.10) in self-care. Higher self-care confidence increased the odds of being an expert (OR = 1.05-1.09) or inconsistent (OR = 1.01-1.05) in self-care. DISCUSSION: The three-level typology of heart failure self-care was confirmed. Patients who have fewer limitations to daily activities may not be driven adequately to engage in heart failure self-care and may need extra assistance in developing expertise.

Rurality and event-free survival in patients with heart failure.

BACKGROUND: Evidence of health disparities between urban and rural populations usually favors urban dwellers. The impact of rurality on heart failure (HF) outcomes is unknown. OBJECTIVE: We compared event-free survival between HF patients living in urban and rural areas. METHODS: In this longitudinal study, 136 patients with HF (male, 70%; age, mean ± SD 61 ± 11 years; New York Heart Association class III/IV, 60%) were enrolled. Patients' emergency department visits for HF exacerbation and rehospitalization during follow-up were identified. Rural status was determined by rural-urban commuting area code. Survival analysis was used to determine the effect of rurality on outcomes while controlling for relevant demographic, clinical, and psychosocial variables. RESULTS: Rural patients (64%) had longer event-free survival than urban patients (P = .015). Rurality (P = .04) predicted event-free survival after controlling for age, marital status, New York Heart Association class, medications, adherence to medications, depressive symptoms, and social support. CONCLUSIONS: Rural patients were less likely than their urban counterparts to experience an event. Further research is needed to identify protective factors that may be unique to rural settings.

Does cognitive impairment predict poor self-care in patients with heart failure?

AIMS: Cognitive impairment occurs often in patients with chronic heart failure (CHF) and may contribute to sub-optimal self-care. This study aimed to test the impact of cognitive impairment on self-care. METHODS AND RESULTS: In 93 consecutive patients hospitalized with CHF, self-care (Self-Care of Heart Failure Index) was assessed. Multiple regression analysis was used to test a model of variables hypothesized to predict self-care maintenance, management, and confidence. Variables in the model were mild cognitive impairment (MCI; Mini-Mental State Exam and Montreal Cognitive Assessment), depressive symptoms (Cardiac Depression Scale), age, gender, social isolation, education level, new diagnosis, and co-morbid illnesses. Sixty-eight patients (75%) were coded as having MCI and had significantly lower self-care management (eta(2)= 0.07, P < 0.01) and self-confidence scores (eta(2)= 0.05, P < 0.05). In multivariate analysis, MCI, co-morbidity index, and NYHA class III or IV explained 20% of the variance in self-care management (P < 0.01); MCI made the largest contribution explaining 9% of the variance. Increasing age and symptoms of depression explained 13% of the variance in self-care confidence scores (P < 0.01). CONCLUSION: Cognitive impairment, a hidden co-morbidity, may impede patients' ability to make appropriate self-care decisions. Screening for MCI may alert health professionals to those at greater risk of failed self-care.

Psychometric testing of the Immigrant Barriers to Health Care Scale: Hispanic Version.

Barriers to care contribute to health inequities for immigrant populations. Although inadequate health insurance is a known barrier, other factors impact the issue. Few instruments exist to specifically measure these other barriers. The purpose of this study was to test the Immigrant Barriers to Health Care Scale - Hispanic Version. It was first pilot-tested in southern California with a Mexican population. After refinement, the instrument was tested in a north-eastern sample of diverse Hispanic adults. The data were analyzed using exploratory factor analysis. Factor loadings and communalities were used to assess the adequacy of the scale's items. Six items were deleted due to ambiguous factor loadings. The final 11 items loaded onto four factors and explained 54.58% of the variance. The coefficient alpha was 0.81 for the instrument. The Immigrant Barriers to Health Care Scale is a reliable and valid tool. Its further use and reporting with other socially and economically disadvantaged groups is advised.