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Yu Y, Liu J, Zhang L, Ji R, Su X, Gao Z, Xia S, Li J, Li L. Perceived Economic Burden, Mortality, and Health Status in Patients With Heart Failure. JAMA Netw Open 2024; 7:e241420. [PMID: 38512256 PMCID: PMC10958235 DOI: 10.1001/jamanetworkopen.2024.1420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 01/10/2024] [Indexed: 03/22/2024] Open
Abstract
Importance In the face of an emerging heart failure (HF) epidemic, describing the association between perceived economic burden (PEB) and health care outcomes is an important step toward more equitable and achievable care. Objectives To examine the association between PEB and risk of 1-year clinical outcomes and HF-specific health status in patients with acute decompensated HF. Design, Setting, and Participants This prospective, multicenter, hospital-based cohort study prospectively enrolled adult patients hospitalized for acute decompensated HF at 52 hospitals in China from August 2016 to May 2018, with 1-year follow-up. Data were analyzed on June 17, 2022. Exposure Perceived economic burden, categorized as severe (cannot undertake expenses), moderate (can almost undertake expenses), or little (can easily undertake expenses). Main Outcomes and Measures The clinical outcomes of the study were 1-year all-cause death and rehospitalization for HF. Heart failure-specific health status was assessed by the 12-Item Kansas City Cardiomyopathy Questionnaire (KCCQ-12). Results Among 3386 patients, median age was 67 years (IQR, 58-75 years) and 2116 (62.5%) were men. Of these patients, 404 (11.9%) had severe PEB; 2021 (59.7%), moderate PEB; and 961 (28.4%), little PEB. Compared with patients with little PEB, those with severe PEB had increased risk of 1-year mortality (hazard ratio [HR], 1.61; 95% CI, 1.21-2.13; P < .001) but not 1-year HF rehospitalization (HR, 1.21; 95% CI, 0.98-1.49; P = .07). The mean (SD) adjusted KCCQ-12 score was lowest in patients with severe PEB and highest in patients with little PEB at baseline (40.0 [1.7] and 50.2 [1.0] points, respectively; P < .001) and at each visit (eg, 12 months: 61.5 [1.6] and 75.5 [0.9] points respectively; P < .001). Patients reporting severe PEB had a clinically significant lower 1-year KCCQ-12 score compared with those reporting little PEB (mean difference, -11.3 points; 95% CI, -14.9 to -7.6 points; P < .001). Conclusions and Relevance In this cohort study of patients with acute decompensated HF, greater PEB was associated with higher risk of mortality and poorer health status but not with risk of HF rehospitalization. The findings suggest that PEB may serve as a convenient tool for risk estimation and as a potential target for quality-improvement interventions for patients with HF.
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Affiliation(s)
- Yuan Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiamin Liu
- National Clinical Research Center of Cardiovascular Diseases, National Health Commission Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lihua Zhang
- National Clinical Research Center of Cardiovascular Diseases, National Health Commission Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Runqing Ji
- National Clinical Research Center of Cardiovascular Diseases, National Health Commission Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoming Su
- National Clinical Research Center of Cardiovascular Diseases, National Health Commission Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhiping Gao
- Department of General Practice, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shuang Xia
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jing Li
- National Clinical Research Center of Cardiovascular Diseases, National Health Commission Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liwen Li
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Dinsmore JS, Schmidt CL, Messner PK, Loth AR, Meiers SJ. Enhancement of Preoperative Mental Health Assessment Through Clinical Nurse Specialist Project Leadership. CLIN NURSE SPEC 2024; 38:80-90. [PMID: 38364068 DOI: 10.1097/nur.0000000000000801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
PURPOSE/OBJECTIVES The aim of the project was to discern whether a collaborative, consultative-rich, clinical nurse specialist-led project could increase completion rates of a patient health questionnaire for depression and a generalized anxiety disorder questionnaire with appropriate referrals in adult patients in the ambulatory and hospital settings of a robust cardiovascular surgery practice before cardiovascular surgery. DESCRIPTION OF PROJECT The Define, Measure, Analyze, Improve, Control implementation methodology guided this quality improvement project. The workflow was analyzed in collaboration with stakeholders, and barriers to and facilitators of questionnaire completion were identified. Interpreter services partnerships were enhanced and used for patients with a preferred language other than English. Weekly data analysis assessed ongoing questionnaire completion rates. OUTCOME Documented completion rates of questionnaires improved across ambulatory and hospital settings by 15%. Patients with a preferred language other than English had an 80-percentage-point increase in documented questionnaire completion. CONCLUSION Clinical nurse specialists are poised to lead projects because of their use of the collaborative and consultative core competencies. A formal electronic health record report was established for monitoring outcomes. Embedding questionnaire administration within the standard workflow of ambulatory and hospital staff makes administering questionnaires preoperatively a sustainable practice in both settings.
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Affiliation(s)
- Jill S Dinsmore
- Author Affiliations: Clinical Nurse Specialists (Dinsmore and Messner), Department of Nursing, and Clinical Nurse Specialist Provider (Schmidt), Pain Clinic, Mayo Clinic, Rochester, Minnesota; Associate Professor (Loth), and Professor (Meiers), Department of Graduate Nursing, Winona State University, Rochester, Minnesota; and Jane W. and James E. Moore Nursing Research Professor (Meiers), College of Nursing and Health Sciences, University of Wisconsin Eau Claire
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Abdullayev K, Chico TJ, Manktelow M, Buckley O, Condell J, Van Arkel RJ, Diaz V, Matcham F. Stakeholder-led understanding of the implementation of digital technologies within heart disease diagnosis: a qualitative study protocol. BMJ Open 2023; 13:e072952. [PMID: 37369399 PMCID: PMC10410804 DOI: 10.1136/bmjopen-2023-072952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 06/03/2023] [Indexed: 06/29/2023] Open
Abstract
INTRODUCTION Cardiovascular diseases are highly prevalent among the UK population, and the quality of care is being reduced due to accessibility and resource issues. Increased implementation of digital technologies into the cardiovascular care pathway has enormous potential to lighten the load on the National Health Service (NHS), however, it is not possible to adopt this shift without embedding the perspectives of service users and clinicians. METHODS AND ANALYSIS A series of qualitative studies will be carried out with the aim of developing a stakeholder-led perspective on the implementation of digital technologies to improve holistic diagnosis of heart disease. This will be a decentralised study with all data collection being carried out online with a nationwide cohort. Four focus groups, each with 5-6 participants, will be carried out with people with lived experience of heart disease, and 10 one-to-one interviews will be carried out with clinicians with experience of diagnosing heart diseases. The data will be analysed using an inductive thematic analysis approach. ETHICS AND DISSEMINATION This study received ethical approval from the Sciences and Technology Cross Research Council at the University of Sussex (reference ER/FM409/1). Participants will be required to provide informed consent via a Qualtrics survey before being accepted into the online interview or focus group. The findings will be disseminated through conference presentations, peer-reviewed publications and to the study participants.
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Affiliation(s)
| | - Timothy Ja Chico
- Department of Infection, Immunity and Cardiovascular Disease, The Medical School, The University of Sheffield, Sheffield, UK
| | - Matthew Manktelow
- School of Computing, Engineering and Intelligent Systems, University of Ulster at Magee, Londonderry, UK
| | - Oliver Buckley
- School of Computing Sciences, University of East Anglia, Norwich, UK
| | - Joan Condell
- School of Computing, Engineering and Intelligent Systems, University of Ulster at Magee, Londonderry, UK
| | | | - Vanessa Diaz
- Department of Mechanical Engineering, University College London, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK
| | - Faith Matcham
- School of Psychology, University of Sussex, Brighton, UK
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Wei C, Milligan M, Lam M, Heidenreich PA, Sandhu A. Variation in Cost of Echocardiography Within and Across United States Hospitals. J Am Soc Echocardiogr 2023; 36:569-577.e4. [PMID: 36638930 PMCID: PMC10247500 DOI: 10.1016/j.echo.2023.01.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/12/2023]
Abstract
BACKGROUND While transthoracic echocardiography (TTE) is responsible for more Medicare spending than any other cardiovascular imaging procedure, little is known about its commercial cost footprint. The 2021 Hospital Price Transparency Final Rule mandated that U.S. hospitals publish their insurer-negotiated and self-pay prices for services. This study sought to characterize and assess factors contributing to variation in TTE prices. METHODS We used a commercial database containing hospital-disclosed prices to characterize variation in TTE prices within and across hospitals. We linked these price data to hospital and regional characteristics using Medicare Facility IDs. RESULTS A total of 1,949 hospitals reported commercial prices. Among reporting hospitals, median commercial and self-pay prices were 2.93 and 3.06 times greater than the median Medicare price ($1,313 and $1,422, respectively, vs $464). Within hospitals, the 90th percentile payer-negotiated rate was 2.78 (interquartile range, 1.80-5.09) times the 10th percentile rate (within-center ratio). Across hospitals within the same hospital referral region, the median price at the 90th percentile hospital was 2.47 (interquartile range, 1.69-3.75) times that at the 10th percentile hospital (across-center ratio). On univariate analysis, for-profit (P = .04), teaching (P < .01), investor-owned (P < .01), and higher-rated hospitals (P < .01) charged higher prices, whereas rural referral centers (P = .01) and disproportionate share hospitals (P < .01) charged less. On multivariate analysis, the association between these characteristics and TTE prices persisted, except for investor ownership and rural referral centers. CONCLUSIONS Self-pay and commercial TTE prices were higher than Medicare prices and varied significantly within and across hospitals. For-profit, teaching, and higher-rated hospitals had higher prices, in contrast to DSH hospitals. A better understanding of the relationship between this cost variation and quality of care is critical given the impact of cost on health care access and affordability.
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Affiliation(s)
- Chen Wei
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
| | | | - Miranda Lam
- Brigham and Women's Hospital, Boston, Massachusetts
| | - Paul A Heidenreich
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California; Division of Cardiology, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Alexander Sandhu
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
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Sylvia LG, Gold AK, Rakhilin M, Amado S, Modrow MF, Albury EA, George N, Peters AT, Selvaggi CA, Horick N, Rabideau DJ, Dohse H, Tovey RE, Turner JA, Schopfer DW, Pletcher MJ, Katz D, Deckersbach T, Nierenberg AA. Healthy hearts healthy minds: A randomized trial of online interventions to improve physical activity. J Psychosom Res 2023; 164:111110. [PMID: 36525851 DOI: 10.1016/j.jpsychores.2022.111110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 11/27/2022] [Accepted: 11/27/2022] [Indexed: 12/03/2022]
Abstract
INTRODUCTION Depressed individuals are more likely to die from cardiovascular disease (CVD) than those without depression. People with CVD have higher rates of depression than those without and have higher mortality rates if they have comorbid depression. While physical activity (PA) improves both, few people engage in enough. We compared self-guided internet-based cognitive behavior therapy (CBT) + Fitbit or mindfulness-based cognitive therapy (MBCT) + Fitbit, with Fitbit only to increase daily steps for participants with depression who have low PA. METHODS Adult participants (N = 340) were recruited from two online patient-powered research networks and randomized to one of three study interventions for 8 weeks with an additional 8 weeks of follow-up. Using linear mixed effects models, we evaluated the effect of the intervention on average daily steps (NCT03373110). RESULTS Average daily steps increased 2.8 steps per day in MBCT+Fitbit, 2.9 steps/day in CBT + Fitbit, but decreased 8.2 steps/day in Fitbit Only. These changes were not statistically different between the MBCT+Fitbit and CBT + Fitbit groups, but were different from Fitbit Only across the initial 8-week period. Group differences were not maintained across follow-up. Exploratory analyses identified comorbid anxiety disorders, self-reported PA, and employment status as moderators. DISCUSSION Changes in daily steps over both 8- and 16-week periods-regardless of intervention group-were minimal. The results emphasize the limits of using self-guided web-based psychotherapy with an activity tracker to increase PA in participants with a history of depression and low PA.
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Affiliation(s)
- Louisa G Sylvia
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Alexandra K Gold
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Marina Rakhilin
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | - Selen Amado
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | | | - Evan A Albury
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | - Nevita George
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | - Amy T Peters
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | | | - Nora Horick
- Biostatistics, Massachusetts General Hospital, Boston, MA, USA
| | - Dustin J Rabideau
- Harvard Medical School, Boston, MA, USA; Biostatistics, Massachusetts General Hospital, Boston, MA, USA
| | - Heidi Dohse
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | - Roberta E Tovey
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | - Jon A Turner
- Department of Information, Operations, and Management Sciences, Stern School of Business, New York University, New York, New York, USA
| | | | - Mark J Pletcher
- University of California San Francisco, San Francisco, CA, USA
| | - Doug Katz
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | | | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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Tian W, Wu B, Yang Y, Lai Y, Miao W, Zhang X, Zhang C, Xia Q, Shan L, Yang H, Yang H, Huang Z, Li Y, Zhang Y, Ding F, Tian Y, Li H, Liu X, Li Y, Wu Q. Degree of protection provided by poverty alleviation policies for the middle-aged and older in China: evaluation of effectiveness of medical insurance system tools and vulnerable target recognition. Health Res Policy Syst 2022; 20:129. [PMID: 36376906 PMCID: PMC9664814 DOI: 10.1186/s12961-022-00929-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND China's medical insurance schemes and poverty alleviation policy at this stage have achieved population-wide coverage and the system's universal function. At the late stage of the elimination of absolute poverty task, how to further exert the poverty alleviation function of the medical insurance schemes has become an important agenda for targeted poverty alleviation. To analyse the risk of catastrophic health expenditure (CHE) occurrence in middle-aged and older adults with vulnerability characteristics from the perspectives of social, regional, disease, health service utilization and medical insurance schemes. METHODS We used data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) database and came up with 9190 samples. The method for calculating the CHE was adopted from WHO. Logistic regression was used to determine the different characteristics of middle-aged and older adults with a high probability of incurring CHE. RESULTS The overall regional poverty rate and incidence of CHE were similar in the east, central and west, but with significant differences among provinces. The population insured by the urban and rural integrated medical insurance (URRMI) had the highest incidence of CHE (21.17%) and health expenditure burden (22.77%) among the insured population. Integration of Medicare as a medical insurance scheme with broader benefit coverage did not have a significant effect on the incidence of CHE in middle-aged and older people with vulnerability characteristics. CONCLUSIONS Based on the perspective of Medicare improvement, we conducted an in-depth exploration of the synergistic effect of medical insurance and the poverty alleviation system in reducing poverty, and we hope that through comprehensive strategic adjustments and multidimensional system cooperation, we can lift the vulnerable middle-aged and older adults out of poverty.
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Affiliation(s)
- Wanxin Tian
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Bing Wu
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Yahong Yang
- Nursing Department, Heilongjiang Provincial Hospital, Harbin, Heilongjiang China
| | - Yongqiang Lai
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Wenqing Miao
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Xiyu Zhang
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Chenxi Zhang
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Qi Xia
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Linghan Shan
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Huiying Yang
- The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, Heilongjiang China
| | - Huiqi Yang
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Zhipeng Huang
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Yuze Li
- Department of Medicine, Jiamusi University, Jiamusi, 154007 Heilongjiang China
| | - Yiyun Zhang
- School of Ethnology and Sociology, Yunnan University, Kunming, Yunnan China
| | - Fan Ding
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia China
| | - Yulu Tian
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Hongyu Li
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Xinwei Liu
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Ye Li
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
| | - Qunhong Wu
- Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086 Heilongjiang China
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Valero-Elizondo J, Chouairi F, Khera R, Grandhi GR, Saxena A, Warraich HJ, Virani SS, Desai NR, Sasangohar F, Krumholz HM, Esnaola NF, Nasir K. Atherosclerotic Cardiovascular Disease, Cancer, and Financial Toxicity Among Adults in the United States. JACC: CARDIOONCOLOGY 2021; 3:236-246. [PMID: 34396329 PMCID: PMC8352280 DOI: 10.1016/j.jaccao.2021.02.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 02/12/2021] [Indexed: 12/30/2022]
Abstract
Background Financial toxicity (FT) is a well-established side-effect of the high costs associated with cancer care. In recent years, studies have suggested that a significant proportion of those with atherosclerotic cardiovascular disease (ASCVD) experience FT and its consequences. Objectives This study aimed to compare FT for individuals with neither ASCVD nor cancer, ASCVD only, cancer only, and both ASCVD and cancer. Methods From the National Health Interview Survey, we identified adults with self-reported ASCVD and/or cancer between 2013 and 2018, stratifying results by nonelderly (age <65 years) and elderly (age ≥65 years). We defined FT if any of the following were present: any difficulty paying medical bills, high financial distress, cost-related medication nonadherence, food insecurity, and/or foregone/delayed care due to cost. Results The prevalence of FT was higher among those with ASCVD when compared with cancer (54% vs. 41%; p < 0.001). When studying the individual components of FT, in adjusted analyses, those with ASCVD had higher odds of any difficulty paying medical bills (odds ratio [OR]: 1.22; 95% confidence interval [CI]: 1.09 to 1.36), inability to pay bills (OR: 1.25; 95% CI: 1.04 to 1.50), cost-related medication nonadherence (OR: 1.28; 95% CI: 1.08 to 1.51), food insecurity (OR: 1.39; 95% CI: 1.17 to 1.64), and foregone/delayed care due to cost (OR: 1.17; 95% CI: 1.01 to 1.36). The presence of ≥3 of these factors was significantly higher among those with ASCVD and those with both ASCVD and cancer when compared with those with cancer (23% vs. 30% vs. 13%, respectively; p < 0.001). These results remained similar in the elderly population. Conclusions Our study highlights that FT is greater among patients with ASCVD compared with those with cancer, with the highest burden among those with both conditions.
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Affiliation(s)
- Javier Valero-Elizondo
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.,Center for Outcomes Research, Houston Methodist, Houston, Texas, USA
| | - Fouad Chouairi
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA
| | - Rohan Khera
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Gowtham R Grandhi
- Department of Medicine, MedStar Union Memorial Hospital, Baltimore, Maryland, USA
| | - Anshul Saxena
- Center for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida, USA
| | - Haider J Warraich
- Department of Medicine, Cardiology Section, VA Boston Healthcare System, Boston, Massachusetts, USA.,Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.,Section of Cardiovascular Research, Baylor College of Medicine, Houston, Texas, USA
| | - Nihar R Desai
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Farzan Sasangohar
- Center for Outcomes Research, Houston Methodist, Houston, Texas, USA.,Department of Industrial and Systems Engineering, Texas A&M College of Engineering, Texas A&M University, College Station, Texas, USA
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA
| | - Nestor F Esnaola
- Cancer Center, Houston Methodist Research Institute, Houston, Texas, USA.,Department of Surgical Oncology, Fox Chase Cancer Center-Temple Health, Philadelphia, Pennsylvania, USA
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.,Center for Outcomes Research, Houston Methodist, Houston, Texas, USA
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Heidenreich P. Is Cost of Care an Expected Competency of Clinicians? Circ Heart Fail 2020; 13:e007866. [PMID: 33176454 DOI: 10.1161/circheartfailure.120.007866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Seelhammer T, Wittwer E. Survivorship After Sudden Cardiac Arrest: Establishing a Framework for Understanding and Care Optimization. J Cardiothorac Vasc Anesth 2020; 35:368-373. [PMID: 33268280 DOI: 10.1053/j.jvca.2020.09.134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 09/28/2020] [Indexed: 11/11/2022]
Affiliation(s)
- Troy Seelhammer
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
| | - Erica Wittwer
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
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Khera R, Valero-Elizondo J, Nasir K. Financial Toxicity in Atherosclerotic Cardiovascular Disease in the United States: Current State and Future Directions. J Am Heart Assoc 2020; 9:e017793. [PMID: 32924728 PMCID: PMC7792407 DOI: 10.1161/jaha.120.017793] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) has posed an increasing burden on Americans and the United States healthcare system for decades. In addition, ASCVD has had a substantial economic impact, with national expenditures for ASCVD projected to increase by over 2.5‐fold from 2015 to 2035. This rapid increase in costs associated with health care for ASCVD has consequences for payers, healthcare providers, and patients. The issues to patients are particularly relevant in recent years, with a growing trend of shifting costs of treatment expenses to patients in various forms, such as high deductibles, copays, and coinsurance. Therefore, the issue of “financial toxicity” of health care is gaining significant attention. The term encapsulates the deleterious impact of healthcare expenditures for patients. This includes the economic burden posed by healthcare costs, but also the unintended consequences it creates in form of barriers to necessary medical care, quality of life as well tradeoffs related to non‐health–related necessities. While the societal impact of rising costs related to ASCVD management have been actively studied and debated in policy circles, there is lack of a comprehensive assessment of the current literature on the financial impact of cost sharing for ASCVD patients and their families. In this review we systematically describe the scope and domains of financial toxicity, the instruments that measure various facets of healthcare‐related financial toxicity, and accentuating factors and consequences on patient health and well‐being. We further identify avenues and potential solutions for clinicians to apply in medical practice to mitigate the burden and consequences of out‐of‐pocket costs for ASCVD patients and their families.
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Affiliation(s)
- Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine Yale School of Medicine New Haven CT.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT
| | - Javier Valero-Elizondo
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX.,Center for Outcomes Research Houston Methodist Houston TX
| | - Khurram Nasir
- Section of Cardiovascular Medicine, Department of Internal Medicine Yale School of Medicine New Haven CT.,Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX.,Center for Outcomes Research Houston Methodist Houston TX
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Grandhi GR, Valero-Elizondo J, Mszar R, Brandt EJ, Annapureddy A, Khera R, Saxena A, Virani SS, Blankstein R, Desai NR, Blaha MJ, Cheema FH, Vahidy FS, Nasir K. Association of cardiovascular risk factor profile and financial hardship from medical bills among non-elderly adults in the United States. Am J Prev Cardiol 2020; 2:100034. [PMID: 34327457 PMCID: PMC8315456 DOI: 10.1016/j.ajpc.2020.100034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 06/14/2020] [Accepted: 07/03/2020] [Indexed: 11/30/2022] Open
Abstract
Background While optimal cardiovascular risk factor (CRF) profile is associated with lower mortality, morbidity, and healthcare expenditures among individuals with atherosclerotic cardiovascular disease (ASCVD), less is known regarding its impact on financial hardship from medical bills. Therefore, we assessed whether an optimal CRF profile is associated with a lower burden of financial hardship from medical bills and a reduction in cost-related barriers to health. Methods We used a nationally representative sample of adults between 18 and 64 years from the National Health Interview Survey between 2013 and 2017. We assessed ASCVD status and the number of risk factors to categorize the study population into 4 mutually exclusive categories: ASCVD (irrespective of CRF profile) and non-ASCVD with poor, average, and optimal CRF profile. Adjusted logistic regression model was used to determine the association of ASCVD/CRF profile with financial hardship from medical bills and cost-related barriers to health (cost-related medication non-adherence (CRN), foregone/delayed care, and high financial distress). Results We included 119,388 non-elderly adults, representing 189 million individuals annually across the United States. Non-ASCVD/optimal CRF profile individuals had a lower prevalence of financial hardship and an inability paying medical bills when compared with individuals with ASCVD (24% vs 45% and 6% vs 19%, respectively). Among individuals without ASCVD and an optimal CRF profile, the prevalence of each cost-related barrier to health was <50% compared with individuals with ASCVD. Poor/low income and uninsured individuals within non-ASCVD/average CRF profile strata had a lower prevalence of financial hardship and an inability paying medical bills when compared with middle/high income and insured individuals with ASCVD. Non-ASCVD individuals with optimal CRF profile had the lowest odds of all barriers to health. Conclusion Optimal CRF profile is associated with a lower prevalence of financial hardship from medical bills and cost-related barriers to health despite lower income and lack of insurance.
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Affiliation(s)
- Gowtham R Grandhi
- Department of Medicine, MedStar Union Memorial Hospital, Baltimore, MD, USA
| | - Javier Valero-Elizondo
- Division of Cardiovascular Prevention & Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.,Center for Outcomes Research, Houston Methodist, Houston, TX, USA
| | - Reed Mszar
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.,Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, CT, USA
| | - Eric J Brandt
- Section of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Amarnath Annapureddy
- Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, CT, USA
| | - Rohan Khera
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Anshul Saxena
- Center for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, FL, USA
| | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.,Baylor College of Medicine, Houston, TX, USA
| | - Ron Blankstein
- Cardiovascular Division and Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Nihar R Desai
- Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, CT, USA.,Section of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Michael J Blaha
- The Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Faisal H Cheema
- University of Houston College of Medicine, Houston, TX, USA.,HCA Research Institute, Nashville, TN, USA
| | - Farhaan S Vahidy
- Center for Outcomes Research, Houston Methodist Neurological Institute, Houston, TX, USA
| | - Khurram Nasir
- Division of Cardiovascular Prevention & Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.,Center for Outcomes Research, Houston Methodist, Houston, TX, USA
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O'Neill KM, Jean RA, Gross CP, Becher RD, Khera R, Elizondo JV, Nasir K. Financial Hardship After Traumatic Injury: Risk Factors and Drivers of Out-of-Pocket Health Expenses. J Surg Res 2020; 256:1-12. [PMID: 32663705 DOI: 10.1016/j.jss.2020.05.095] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 03/27/2020] [Accepted: 05/25/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Trauma-related disorders rank among the top five most costly medical conditions to the health care system. However, the impact of out-of-pocket (OOP) health expenses for traumatic conditions is not known. In this cross-sectional study, we use nationally representative data to investigate whether patients with a traumatic injury experienced financial hardship from OOP health expenses. METHODS Using data from the Medical Expenditure Panel Survey from 2010 to 2015, we analyzed the financial burden associated with a traumatic injury. Primary outcomes were excess financial burden (OOP>20% of annual income) and catastrophic medical expenses (OOP>40% of annual income). A multivariable logistic regression analysis evaluated whether these outcomes were associated with traumatic injury, adjusting for demographic, socioeconomic, and health care factors. We then completed a descriptive analysis to elucidate drivers of total OOP expenses. RESULTS Of the 90,964 families in the cohort, 6434 families had a traumatic injury requiring a visit to the emergency room and 668 families had a traumatic injury requiring hospitalization. Overall 1 in 8 households with an injured family member requiring hospitalization experienced financial hardship. These families were more likely to experience excess financial burden (OR: 2.04, 95% CI: 1.13-3.64) and catastrophic medical expenses (OR: 3.08, 95% CI: 1.37-6.9). The largest burden of OOP expenses was due to prescription drug costs, with inpatient costs as a major driver of OOP expenses for those requiring hospitalization. CONCLUSIONS Households with an injured family member requiring hospitalization are significantly more vulnerable to financial hardship from OOP health expenses than the noninjured population. Prescription drug and inpatient costs were the most significant drivers of OOP health expenses.
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Affiliation(s)
- Kathleen M O'Neill
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut; National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut.
| | - Raymond A Jean
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut; National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut
| | - Cary P Gross
- National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut; Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Robert D Becher
- Section of General Surgery, Trauma, and Surgical Critical Care, Yale School of Medicine, New Haven, Connecticut
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Javier Valero Elizondo
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas; Center for Outcomes Research, Houston Methodist, Houston, Texas
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas; Center for Outcomes Research, Houston Methodist, Houston, Texas
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Mszar R, Grandhi GR, Valero-Elizondo J, Caraballo C, Khera R, Desai N, Virani SS, Blankstein R, Blaha MJ, Nasir K. Cumulative Burden of Financial Hardship From Medical Bills Across the Spectrum of Diabetes Mellitus and Atherosclerotic Cardiovascular Disease Among Non-Elderly Adults in the United States. J Am Heart Assoc 2020; 9:e015523. [PMID: 32394783 PMCID: PMC7660844 DOI: 10.1161/jaha.119.015523] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Background Atherosclerotic cardiovascular disease (ASCVD) has a strong association with diabetes mellitus (DM), accounting for approximately two thirds of deaths in this patient population. Many individuals with ASCVD and DM are vulnerable to financial hardship associated with treatment-related expenses. Therefore, we examined the burden of financial hardship from medical bills across the spectrum of ASCVD status with and without DM. Methods and Results Using data from the National Health Interview Survey from 2013 to 2017, we used logistic regression analysis to examine the association of ASCVD and DM status with financial hardship and an inability to pay medical bills from a representative sample of non-elderly adults in the United States. Our study population consisted of 121 672 individuals. Approximately 3.1% of the weighted population had ASCVD, 5.6% had DM, and 1.3% had both ASCVD and DM. Nearly 50% of individuals with ASCVD and DM reported financial hardship from medical bills (23% being unable to pay medical bills at all), whereas ≈28% of those with neither ASCVD nor DM reported financial hardship from medical bills (8% being unable to pay medical bills at all). Individuals with concurrent ASCVD and DM had the highest relative odds of expressing an inability to pay at all when compared with those with neither condition (odds ratio, 2.69; 95% CI, 2.21-3.28). Conclusions Individuals with concurrent ASCVD and DM are at a disproportionately high risk of being unable to pay their medical bills. The findings provide strong evidence for developing more effective public health policies that protect vulnerable populations from financial hardship.
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Affiliation(s)
- Reed Mszar
- Department of Chronic Disease Epidemiology Yale School of Public Health New Haven CT.,Center for Outcomes Research and Evaluation Yale New Haven Health New Haven CT
| | | | - Javier Valero-Elizondo
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX
| | - César Caraballo
- Center for Outcomes Research and Evaluation Yale New Haven Health New Haven CT
| | - Rohan Khera
- University of Texas Southwestern Medical Center Dallas TX
| | - Nihar Desai
- Section of Cardiovascular Medicine Yale School of Medicine New Haven CT
| | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine Houston TX
| | | | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease Baltimore MD
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX
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Sawyer KN, Camp-Rogers TR, Kotini-Shah P, Del Rios M, Gossip MR, Moitra VK, Haywood KL, Dougherty CM, Lubitz SA, Rabinstein AA, Rittenberger JC, Callaway CW, Abella BS, Geocadin RG, Kurz MC. Sudden Cardiac Arrest Survivorship: A Scientific Statement From the American Heart Association. Circulation 2020; 141:e654-e685. [DOI: 10.1161/cir.0000000000000747] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Cardiac arrest systems of care are successfully coordinating community, emergency medical services, and hospital efforts to improve the process of care for patients who have had a cardiac arrest. As a result, the number of people surviving sudden cardiac arrest is increasing. However, physical, cognitive, and emotional effects of surviving cardiac arrest may linger for months or years. Systematic recommendations stop short of addressing partnerships needed to care for patients and caregivers after medical stabilization. This document expands the cardiac arrest resuscitation system of care to include patients, caregivers, and rehabilitative healthcare partnerships, which are central to cardiac arrest survivorship.
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Association of Depression Risk with Patient Experience, Healthcare Expenditure, and Health Resource Utilization Among Adults with Atherosclerotic Cardiovascular Disease. J Gen Intern Med 2019; 34:2427-2434. [PMID: 31489560 PMCID: PMC6848728 DOI: 10.1007/s11606-019-05325-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 03/29/2019] [Accepted: 08/07/2019] [Indexed: 01/14/2023]
Abstract
BACKGROUND Approximately 20% of patients with atherosclerotic cardiovascular disease (ASCVD) suffer from depression. OBJECTIVE To compare healthcare expenditures and utilization, healthcare-related quality of life, and patient-centered outcomes among ASCVD patients, based on their risk for depression (among those without depression), and those with depression (vs. risk-stratified non-depressed). DESIGN AND SETTING The 2004-2015 Medical Expenditure Panel Survey (MEPS) was used for this study. PARTICIPANTS Adults ≥ 18 years with a diagnosis of ASCVD, ascertained by ICD-9 codes and/or self-reported data. Individuals with a diagnosis of depression were identified by ICD-9 code 311. Participants were stratified by depression risk, based on the Patient Health Questionnaire-2. RESULTS A total of 19,840 participants were included, translating into 18.3 million US adults, of which 8.6% (≈ 1.3 million US adults) had a high risk for depression and 18% had a clinical diagnosis of depression. Among ASCVD patients without depression, those with a high risk (compared with low risk) had increased overall and out-of-pocket expenditures (marginal differences of $2880 and $287, respectively, both p < 0.001), higher odds for resource utilization, and worse patient experience and healthcare quality of life (HQoL). Furthermore, compared with individuals who had depression, participants at high risk also reported worse HQoL and had higher odds of poor perception of their health status (OR 1.83, 95% CI [1.50, 2.23]) and poor patient-provider communication (OR 1.29 [1.18, 1.42]). LIMITATION The sample population includes self-reported diagnosis of ASCVD; therefore, the risk of underestimation of the cohort size cannot be ruled out. CONCLUSION Almost 1 in 10 individuals with ASCVD without diagnosis of depression is at high risk for it and has worse health outcomes compared with those who already have a diagnosis of depression. Early recognition and treatment of depression may increase healthcare efficiency, positive patient experience, and HQoL among this vulnerable population.
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