Lucinda J. Graven

ORCID: 0000-0002-5253-8596
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About
Contact & Profiles
Research Areas
  • Heart Failure Treatment and Management
  • Cardiac Health and Mental Health
  • Family Caregiving in Mental Illness
  • Nursing care and research
  • Chronic Disease Management Strategies
  • Family and Patient Care in Intensive Care Units
  • Geriatric Care and Nursing Homes
  • Diabetes Management and Research
  • Health and Wellbeing Research
  • Perfectionism, Procrastination, Anxiety Studies
  • COVID-19 and Mental Health
  • Cardiovascular Health and Risk Factors
  • Diabetes Management and Education
  • Resilience and Mental Health
  • Medication Adherence and Compliance
  • Stroke Rehabilitation and Recovery
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Health disparities and outcomes
  • Primary Care and Health Outcomes
  • Interprofessional Education and Collaboration
  • Palliative Care and End-of-Life Issues
  • Diabetes Treatment and Management
  • Food Security and Health in Diverse Populations
  • Dementia and Cognitive Impairment Research
  • Health Policy Implementation Science

Florida State University
2016-2025

Gordon and Betty Moore Foundation
2024

University of Central Florida
2023

University of Pittsburgh
2023

Halifax Health Medical Center
2023

Dedicon
2016-2023

University of Alabama at Birmingham
2014-2022

Hanze University of Applied Sciences
2020-2022

Heart failure is a clinical syndrome that affects >6.5 million Americans, with an estimated 550 000 new cases diagnosed each year. The complexity of heart management compounded by the number patients who experience adverse downstream effects social determinants health (SDOH). These are less able to access care and more likely poor outcomes over time. Many face additional challenges associated cost complex, chronic illness must make difficult decisions about their own health, particularly...

10.1161/cir.0000000000000767 article EN Circulation 2020-04-30

Background Heart failure (HF) remains a disease of notable disparity for rural veterans, despite recent advancements in clinical treatment. Managing HF the home is stressful and complex veterans who experience unique barriers to optimal physical mental health, necessitating adequate support problem-solving skills. Objective This study aims (1) adapt, sociocultural context, culturally sensitive, tailored, telephone intervention (CARE-HF [Supporting Physical Mental Health Rural Veterans With...

10.2196/63498 article EN cc-by JMIR Research Protocols 2025-03-26

To examine relationships among heart failure (HF) physical symptoms, social support, problem-solving, depressive and self-care behaviors in outpatients with HF.Cross-sectional data were collected from 201 outpatients. Structural equation modeling was used this preliminary analysis to the study variables.HF symptoms support predictors of behaviors. Social problem-solving also predicted mediated relationship between HF symptoms.Social may influence behaviors, whereas impact Future research...

10.5993/ajhb.39.1.9 article EN American Journal of Health Behavior 2014-10-06

Background Rural patients with heart failure (HF) have higher mortality and hospitalization rates compared their urban counterparts. Although research supports the inclusion of informal caregivers in daily self-care activities, data are limited regarding problems encountered by rural patient/caregiver dyads living HF managing home how these managed. Objective The aim this study was to identify describe experienced Methods Using a descriptive qualitative design, were collected from via...

10.1097/jcn.0000000000001056 article EN The Journal of Cardiovascular Nursing 2023-11-10

Heart failure is a global health concern with high morbidity and mortality rates. Individuals heart commonly experience problems that impact daily life. However, little known regarding which are most significant during the immediate posthospitalization period. Thus, purpose of this study was to identify high-priority experienced by individuals first month after discharge from an acute care facility diagnosis failure.This descriptive, exploratory part 12-week randomized controlled pilot...

10.17294/2330-0698.1588 article EN publisher-specific-oa Journal of patient-centered research and reviews 2018-04-26

Heart failure (HF) caregivers experience increased demands and burden. Social support problem solving may influence the effect of these variables on caregiver outcomes.The aim this study was to examine whether social mediate relationships among burden, self-care, depression, life changes in heart caregivers.Using a cross-sectional, exploratory design, (n = 530) completed online questionnaires support, solving, changes. Path analysis examined hypothesized mediating role burden outcomes. The...

10.1097/jcn.0000000000000634 article EN The Journal of Cardiovascular Nursing 2020-01-27

Cardiac surgeries rank among the most frequent surgical procedures and present a risk of chronic postsurgical pain (CPSP). A continuum approach is required to prevent development CPSP. As first step, tailored web-based intervention was developed successfully tested tackle management during hospitalization. Before proceeding further development, preliminary acceptability including postdischarge phase must be evaluated.The purpose this study examine nurses' perception Web-based for in early...

10.1177/2377960818806270 article EN cc-by-nc SAGE Open Nursing 2018-01-01

Objectives To explore gender and racial differences in heart failure (HF) self-care processes examine whether race predict HF self-care. Methods A secondary analysis of baseline data ( n = 107) from a longitudinal study (54.2% males; 56% non-Caucasians) was conducted. The index used to measure maintenance, management, confidence. Descriptive statistics univariate analyses examined outcomes. Multiple linear regression predicted Results Univariate indicated that Caucasians reported...

10.1177/1742395319843163 article EN Chronic Illness 2019-04-19

Background. Symptoms of heart failure (HF) and coping resources, such as social support problem-solving, may influence self-care behaviors. Research regarding the HF symptomatology characteristics components problem-solving on is limited. Objective. To identify predictors behaviors using symptomatology, demographic clinical factors. Methods. Using a cross-sectional, correlational predictive design, convenience sample (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1155/2015/840240 article EN cc-by Nursing Research and Practice 2015-01-01

To examine demographic, social support, and community factors from a national dataset that influence African-American (AA) White men to receive prostate cancer screening (PCS) via the Digital Rectal Exam (DRE) or Prostate Specific Antigen Test (PSA).A cross-sectional secondary analysis National Health Nutrition Examination Survey (NHANES) provided sample of AA (N = 377) 971) over age 40 years. Regression with confidence intervals was utilized associated receiving PCS. The Social Ecological...

10.1111/phn.12245 article EN Public Health Nursing 2016-01-21

Friendship is an essential component of quality life. The ongoing lifestyle changes and strain typically experienced by care partners people with aphasia (PWA) can impact their social network, friendships being particularly vulnerable to change. This study aimed understand the caregiving on partners' over time from perspective PWA. An online survey addressing demographics, recipients' perceptions (before during acute chronic stages caregiving) was codesigned three partner stakeholders then...

10.1097/tld.0000000000000301 article EN Topics in Language Disorders 2023-01-01

Heart failure (HF) symptoms are known to influence depressive symptoms, yet a symptom profile has not been identified. HF relative experience (frequency, severity, interference with physical activity and enjoyment of life) associated were examined. Data from three studies ( N = 308) which used the Failure Symptom Survey included in this cross-sectional secondary analysis. Supervised classification for identification most accomplished using random forest algorithms via conditional inference...

10.1177/1054773818757312 article EN Clinical Nursing Research 2018-02-14
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