Literature DB >> 27438103

Geographic Variation in Trends and Disparities in Acute Myocardial Infarction Hospitalization and Mortality by Income Levels, 1999-2013.

Erica S Spatz1, Adam L Beckman2, Yun Wang3, Nihar R Desai1, Harlan M Krumholz4.   

Abstract

IMPORTANCE: During the past decade, the incidence and mortality associated with acute myocardial infarction (AMI) in the United States have decreased substantially. However, it is unknown whether these improvements were consistent across communities of different economic status and geographic regions since efforts to improve cardiovascular disease prevention and management may have had variable impact.
OBJECTIVE: To determine whether trends in US county-level, risk-standardized AMI hospitalization and mortality rates varied by county-based median income level. DESIGN, SETTING, AND PARTICIPANTS: In this observational study, county-level risk-standardized (age, sex, and race) hospitalization and 1-year mortality rates for AMI from January 1, 1999, to December 31, 2013, were measured for Medicare beneficiaries 65 years or older. Data analysis was performed from June 2 through December 1, 2015. Counties were stratified by median income percentile using 1999 US Census Bureau data adjusted for inflation: low- (<25th), average- (25th-75th), or high- (>75th) income groups. MAIN OUTCOMES AND MEASURES: The effect of income on the slope of AMI hospitalizations and mortality, measured as differences in the rate of change in AMI hospitalizations and mortality by county income and by the 4 US geographic regions, and a possible lag effect among low-income counties.
RESULTS: In the 15-year study period, AMI risk-standardized hospitalization and mortality rates decreased significantly for all 3 county income groups. Mean hospitalization rates were significantly higher among low-income counties compared with high-income counties in 1999 (1353 vs 1123 per 100 000 person-years, respectively) and in 2013 (853 vs 648 per 100 000 person-years, respectively). One-year mortality rates after hospitalization for AMI were similar across county income groups, decreasing from 1999 (31.5%, 31.4%, and 31.1%, for high-, average-, and low-income counties, respectively) to 2013 (26.2%, 26.1%, and 25.4%, respectively). Income was associated with county-level, risk-standardized AMI hospitalization rates but not mortality rates. Increasing 1 interquartile range of median county consumer price index-adjusted income ($12 000) was associated with a decline in 46 and 37 hospitalizations per 100 000 person-years for 1999 and 2013, respectively; interaction between income and time was 0.56. The rate of decline in AMI hospitalizations was similar for all county income groups; however, low-income counties lagged behind high-income counties by 4.3 (95% CI, 3.1-5.9) years. There were no significant differences in trends across geographic regions. CONCLUSIONS AND RELEVANCE: Hospitalization and mortality rates of AMI declined among counties of all income levels, although hospitalization rates among low-income counties lag behind those of the higher income groups. These findings lend support for a more targeted, community-based approach to AMI prevention.

Entities:  

Mesh:

Year:  2016        PMID: 27438103      PMCID: PMC5459393          DOI: 10.1001/jamacardio.2016.0382

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  53 in total

1.  US cardiologist workforce from 1995 to 2007: modest growth, lasting geographic maldistribution especially in rural areas.

Authors:  Sanjay Aneja; Joseph S Ross; Yongfei Wang; Masatoshi Matsumoto; George P Rodgers; Susannah M Bernheim; Saif S Rathore; Harlan M Krumholz
Journal:  Health Aff (Millwood)       Date:  2011-12       Impact factor: 6.301

2.  States with more physicians have better-quality health care.

Authors:  Richard A Cooper
Journal:  Health Aff (Millwood)       Date:  2008-12-04       Impact factor: 6.301

Review 3.  A campaign to improve the timeliness of primary percutaneous coronary intervention: Door-to-Balloon: An Alliance for Quality.

Authors:  Harlan M Krumholz; Elizabeth H Bradley; Brahmajee K Nallamothu; Henry H Ting; Wayne B Batchelor; Eva Kline-Rogers; Amy F Stern; Jason R Byrd; John E Brush
Journal:  JACC Cardiovasc Interv       Date:  2008-02       Impact factor: 11.195

4.  Measuring capability for healthy diet and physical activity.

Authors:  Robert L Ferrer; Inez Cruz; Sandra Burge; Bryan Bayles; Martha I Castilla
Journal:  Ann Fam Med       Date:  2014 Jan-Feb       Impact factor: 5.166

5.  Million hearts: strategies to reduce the prevalence of leading cardiovascular disease risk factors--United States, 2011.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2011-09-16       Impact factor: 17.586

6.  Longitudinal Associations Between Neighborhood Physical and Social Environments and Incident Type 2 Diabetes Mellitus: The Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Paul J Christine; Amy H Auchincloss; Alain G Bertoni; Mercedes R Carnethon; Brisa N Sánchez; Kari Moore; Sara D Adar; Tamara B Horwich; Karol E Watson; Ana V Diez Roux
Journal:  JAMA Intern Med       Date:  2015-08       Impact factor: 21.873

7.  Trends and disparities in coronary heart disease, stroke, and other cardiovascular diseases in the United States: findings of the national conference on cardiovascular disease prevention.

Authors:  R Cooper; J Cutler; P Desvigne-Nickens; S P Fortmann; L Friedman; R Havlik; G Hogelin; J Marler; P McGovern; G Morosco; L Mosca; T Pearson; J Stamler; D Stryer; T Thom
Journal:  Circulation       Date:  2000-12-19       Impact factor: 29.690

8.  Quality of medical care delivered to Medicare beneficiaries: A profile at state and national levels.

Authors:  S F Jencks; T Cuerdon; D R Burwen; B Fleming; P M Houck; A E Kussmaul; D S Nilasena; D L Ordin; D R Arday
Journal:  JAMA       Date:  2000-10-04       Impact factor: 56.272

9.  An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.

Authors:  Harlan M Krumholz; Yun Wang; Jennifer A Mattera; Yongfei Wang; Lein Fang Han; Melvin J Ingber; Sheila Roman; Sharon-Lise T Normand
Journal:  Circulation       Date:  2006-03-20       Impact factor: 29.690

10.  The cumulative effect of unemployment on risks for acute myocardial infarction.

Authors:  Matthew E Dupre; Linda K George; Guangya Liu; Eric D Peterson
Journal:  Arch Intern Med       Date:  2012-12-10
View more
  25 in total

Review 1.  Cardiovascular burden and percutaneous interventions in Russian Federation: systematic epidemiological update.

Authors:  Alexander N Kharlamov
Journal:  Cardiovasc Diagn Ther       Date:  2017-02

2.  Trends in Cardiovascular Health of US Adults by Income, 2005-2014.

Authors:  Adam L Beckman; Jeph Herrin; Khurram Nasir; Nihar R Desai; Erica S Spatz
Journal:  JAMA Cardiol       Date:  2017-07-01       Impact factor: 14.676

3.  Income Disparities in Absolute Cardiovascular Risk and Cardiovascular Risk Factors in the United States, 1999-2014.

Authors:  Ayodele Odutayo; Peter Gill; Shaun Shepherd; Aquila Akingbade; Sally Hopewell; Karthik Tennankore; Benjamin H Hunn; Connor A Emdin
Journal:  JAMA Cardiol       Date:  2017-07-01       Impact factor: 14.676

4.  National Trends and Geographic Variation in Availability of Home Health Care: 2002-2015.

Authors:  Yun Wang; Erica C Leifheit-Limson; Jonathan Fine; Michelle M Pandolfi; Yan Gao; Fanglin Liu; Sheila Eckenrode; Judith H Lichtman
Journal:  J Am Geriatr Soc       Date:  2017-03-21       Impact factor: 5.562

5.  Incidence and all-cause mortality for hip fracture in comparison to stroke, and myocardial infarction: a fifteen years population-based longitudinal study.

Authors:  Vincenzo Carnevale; Andrea Fontana; Alfredo Scillitani; Roberto Sinisi; Elisabetta Romagnoli; Massimiliano Copetti
Journal:  Endocrine       Date:  2017-09-20       Impact factor: 3.633

Review 6.  Young Women With Acute Myocardial Infarction: Current Perspectives.

Authors:  Rachel P Dreyer; Christopher Sciria; Erica S Spatz; Basmah Safdar; Gail D'Onofrio; Harlan M Krumholz
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-02-22

7.  Association of Income Disparities with Patient-Reported Healthcare Experience.

Authors:  Victor Okunrintemi; Rohan Khera; Erica S Spatz; Joseph A Salami; Javier Valero-Elizondo; Haider J Warraich; Salim S Virani; Ron Blankstein; Michael J Blaha; Timothy M Pawlik; Kumar Dharmarajan; Harlan M Krumholz; Khurram Nasir
Journal:  J Gen Intern Med       Date:  2019-02-19       Impact factor: 5.128

8.  Comparison of Readmission Rates After Acute Myocardial Infarction in 3 Patient Age Groups (18 to 44, 45 to 64, and ≥65 Years) in the United States.

Authors:  Rohan Khera; Snigdha Jain; Ambarish Pandey; Vijay Agusala; Dharam J Kumbhani; Sandeep R Das; Jarett D Berry; James A de Lemos; Saket Girotra
Journal:  Am J Cardiol       Date:  2017-08-04       Impact factor: 2.778

9.  Association Between Medicare Expenditure Growth and Mortality Rates in Patients With Acute Myocardial Infarction: A Comparison From 1999 Through 2014.

Authors:  Donald S Likosky; Jessica Van Parys; Weiping Zhou; William B Borden; Milton C Weinstein; Jonathan S Skinner
Journal:  JAMA Cardiol       Date:  2018-02-01       Impact factor: 14.676

10.  Development of algorithms for identifying fatal cardiovascular disease in Medicare claims.

Authors:  Fenglong Xie; Lisandro D Colantonio; Jeffrey R Curtis; Meredith L Kilgore; Emily B Levitan; Keri L Monda; Monika M Safford; Ben Taylor; Mark Woodward; Paul Muntner
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-03-14       Impact factor: 2.890

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.