| Literature DB >> 27785005 |
Roy A Pleasants1, Isaretta L Riley1, David M Mannino2.
Abstract
The global burden of chronic obstructive pulmonary disease (COPD) continues to grow in part due to better outcomes in other major diseases and in part because a substantial portion of the worldwide population continues to be exposed to inhalant toxins. However, a disproportionate burden of COPD occurs in people of low socioeconomic status (SES) due to differences in health behaviors, sociopolitical factors, and social and structural environmental exposures. Tobacco use, occupations with exposure to inhalant toxins, and indoor biomass fuel (BF) exposure are more common in low SES populations. Not only does SES affect the risk of developing COPD and etiologies, it is also associated with worsened COPD health outcomes. Effective interventions in these people are needed to decrease these disparities. Efforts that may help lessen these health inequities in low SES include 1) better surveillance targeting diagnosed and undiagnosed COPD in disadvantaged people, 2) educating the public and those involved in health care provision about the disease, 3) improving access to cost-effective and affordable health care, and 4) markedly increasing the efforts to prevent disease through smoking cessation, minimizing use and exposure to BF, and decreasing occupational exposures. COPD is considered to be one the most preventable major causes of death from a chronic disease in the world; therefore, effective interventions could have a major impact on reducing the global burden of the disease, especially in socioeconomically disadvantaged populations.Entities:
Keywords: COPD; health disparities; international; interventions; management; prevention; socioeconomic status
Mesh:
Year: 2016 PMID: 27785005 PMCID: PMC5065167 DOI: 10.2147/COPD.S79077
Source DB: PubMed Journal: Int J Chron Obstruct Pulmon Dis ISSN: 1176-9106
Whitehead’s principal determinants of health disparities and COPD correlates
| General determinants of health disparities | Corresponding determinants for COPD |
|---|---|
| Natural biologic variation | Genetic susceptibilities |
| Health-damaging behavior of individuals | Smoking tobacco and/or biomass fuel use |
| Transient health advantage for people who adopt new behaviors first | Educated people making behavioral changes more readily than those with lower levels of education |
| Health-damaging behavior in which the degree of choice of lifestyles is severely restricted | People being born into and remaining in impoverished and low education settings |
| Exposure to unhealthy living and working conditions | Exposure to environmental (second-hand) smoke and indoor biomass fuels |
| Inadequate access to health care | People in lower socioeconomic status and having less health care access |
| Natural selection leading to the tendency for the sick to move down the social hierarchy | People with advanced COPD become disabled due to disease |
Note: Data adapted from Whitehead M. The concepts and principles of equity and health. Health Promotion Int. 1991;6:217–228.16
Abbreviation: COPD, chronic obstructive pulmonary disease.
Relationship between socioeconomic status and respiratory measures
| References | Population (description and N) | Socioeconomic status measure(s) | Outcome measure(s) | Main findings |
|---|---|---|---|---|
| Trinder et al | General practices in UK (N=4,237) | Occupation of householder | Respiratory symptoms | Severity of respiratory symptoms worse in people with manual occupation in the presence of tobacco use |
| Shohami et al | Adults in UK attending general medical practices (N=22,675) | Occupation, education level, and area deprivation | Lung function impairment | Occupation, educational level, and living in area of deprivation associated with worse lung function |
| Welle et al | Norwegian general population survey (N=1,275) | Educational level | DLCO | DLCO related to education in men, not women |
| Schikowski et al | Germany (N=1,251, women only) | Education level, occupation, and residence | Lung function, respiratory symptoms, and air particulate matter | Low education more likely to suffer from low FEV1 and were occupationally exposed to particulate matter >10 ppm |
| Smith et al | Chinese population (never smokers) in ten regions (N=307,000) | Household income and education level | Prevalence of AO | AO associated with lower education and income |
| Kurmi et al | Cross-section of adults in ten diverse populations across China (N=500,000 adults) | Household annual income | Prevalence of AO and respiratory symptoms | AO inversely related to annual income |
| Liu et al | Cross-sectional survey in one US state (N=4,300 adults) | Education level | Prevalence of respiratory symptoms | Low educational level associated with higher frequency of respiratory symptoms, including frequent productive cough, dyspnea, and SOB affects ADLs |
Abbreviations: ADLs, activities of daily life; AO, airflow obstruction; DLCO, diffusion capacity of the lung for carbon monoxide; FEV1, forced expiratory volume in 1 second; ppm, parts per million; SOB, shortness of breath.
Relationship between socioeconomic status and COPD prevalence
| References | Population, description, and N | Socioeconomic status measure(s) | Outcome measure(s) | Main findings |
|---|---|---|---|---|
| Bakke et al | Cross-sectional study of general adult population in Norway (N=1,512) | Occupation | Asthma and COPD prevalence | OR of 3.6 for obstructive lung disease in people with high degree of airborne exposure |
| Eachus et al | Adults from 40 general practices in the UK (N=28,080) | Deprivation score based on residence | Disease prevalence including COPD | Emphysema and chronic bronchitis relative index of 2.72 and 2.27, respectively (values higher than most other conditions) |
| Chen et al | National population survey in Canada (N=7,210) | Income | COPD disease prevalence | For low income persons OR = 3.7 for males and 2.4 for females |
| Marmot et al | Civil servants in London, UK (N=10,308) | Occupation (employment grade) | Chronic bronchitis prevalence | OR for CB for men 1.44 and women 1.21 |
| Montnemery et al | Adults in Sweden (N=12,071) | Occupation, social position, and residence location | Prevalence of CBE and respiratory symptoms | CBE more common in unskilled and semiskilled workers, low social position |
| Lindberg et al | Sweden (N=1,165) | Occupation | COPD incidence over 10 years in subjects with respiratory symptoms | Manual workers had an OR = 1.78 vs professionals. Low education level had an OR = 1.73 |
| Ellison-Loschmann et al | European Community respiratory health Survey in Europe, Australia, New Zealand, and the US | Educational level and occupational class | Prevalence and incidence of chronic bronchitis | Low educational and occupational levels (prevalence ratio =1.9 and 1.8, respectively) |
| Halvorsen and Matrinussen | Norwegian prescription database of COPD patients (N=62,882) | Educational level and level of unemployment in community | COPD prevalence | Communities with low educational levels and unemployment associated with higher risk of COPD |
| Karnevisto et al | Finland – national population-wide survey (N=6,525) | Education and household income | COPD and asthma prevalence | Education significant risk factor for COPD, whereas low household income was a risk factor for asthma |
| Lovasi et al | Multi-ethnic study of artherosclerosis at multiple sites in the US (N=3,706) | Education, household income, and wealth indicators | Degree of emphysema on computed tomography scan | Higher percent of emphysema in people with lower high school education, annual income, and wealth |
| Yin et al | People’s Republic of China (31 provinces), (N=49,363) | Education and household income | COPD prevalence by self-report | SES predictive of COPD risk independent of smoking and rural vs urban residence |
| Herrick et al | Cross-sectional population study in one US state (N=25,986) | Annual household income and highest level of education | COPD prevalence | COPD prevalence threefold greater between highest and lowest income levels as well as between lowest and highest education levels |
| Burney et al | Multicenter (n=22 countries), international study burden of obstructive lung disease (N=15,355) | Poverty as measured by GNI of countries | COPD prevalence | COPD prevalence fivefold greater between highest and lowest income levels as well as between lowest and highest education levels |
| Kainu et al | Finnish population (N=8,000, COPD N=628) | Occupation | COPD prevalence | Prevalence higher in manual than nonmanual occupations |
| Golec et al | Polish farmers (N=64) | Size of farm | COPD prevalence | Lower SES in COPD patients |
| Hagstad et al | Swedish never-smokers with obstructive lung disease (N=967) | Education level, occupation | Proportion of nonsmokers with COPD who had occupational exposures | OR of COPD related to occupation = 0.72 in college graduates vs those with less than high-school education |
| Lee et al | Korean never smokers with COPD (N=3,473) | Educational level, occupation | COPD prevalence | Low education level and manual labor were risk factors for COPD |
| Tan et al | Canadian cross-sectional study in general adult population (N=5,176) | Educational level | COPD prevalence in ever and never-smokers | Low education level associated with higher prevalence in both never and ever-smokers |
Abbreviations: CB, chronic bronchitis; CBE, chronic bronchitis/emphysema; COPD, chronic obstructive pulmonary disease; GNI, gross national income; OR, odds ratio; SES, socioeconomic status.
Effect of socioeconomic status on respiratory-related outcomes in chronic obstructive pulmonary disease
| References | Population | SES measure | Outcome measure(s) | Main findings |
|---|---|---|---|---|
| Prescott et al | Copenhagen, Denmark general population (N=14,223) | Educational level and household income | Hospitalization for COPD | Higher rates of hospitalization related to income and education levels (independent of smoking history) |
| Van Rossum et al | the Netherlands (N=18,001) | Occupation | Mortality | COPD had highest rate of increased mortality related to occupation compared with other common causes of death |
| Steenland et al | Adults in 27 states in the US, American Cancer Society population (N=1,330,886) | Occupation | All cause and cause-specific mortality | SES gradient most substantial for all specific causes of death |
| Huisman et al | European data from numerous countries (N=1,000,000 deaths) | Education level | Mortality rate in low-educational groups expressed as a proportion of mortality rate in high-educational groups | Low education groups had highest mortality including COPD, cancer, and heart disease |
| Antonelli-Incazi et al | Elderly in Rome, Italy | Income based upon census tract estimate for residence | Hospitalization rate of COPD | Relative risk for females with COPD 3.3 and males 4.3 (higher than other diseases) |
| Blanc et al | US population survey of COPD patients (N=427) | Educational level and annual income | Tiotropium use | Less use of tiotropium with lower SES (OR =0.3) |
| Reilly et al | National survey of 30 provinces in the People’s Republic of China (N=169,871) | Education, residence (urban vs rural) | Mortality | Relative risk of death 2.37 and 2.47 for men and women, respectively. RR for urban vs rural residence 2.14 and 1.79, respectively |
| Schane et al | National cross-sectional US survey (N=18,858 total N=1,736 COPD patients) | Income and education | Risk factors for depression in COPD vs non-COPD | Less than HS education showed OR =1.63 for depression |
| Wong et al | Data from St Paul’s Hospital in Vancouver, BC, Canada | Marital status and need for social work consultation while in hospital | Hospital LOS and readmission rate in AECOPD patients | Marital status and need for social work intervention associated with prolonged LOS and readmission for AECOPD |
| Lewis et al | National Longitudinal Mortality Study in the US (N=184,924) | Marital status, education, health insurance, poverty level, and occupation | Mortality in a general adult population | Education, marital status, and income predictive of mortality, not seen with insured vs uninsured |
| Arne et al | Sweden, survey of 55 municipalities (N=1,475) | Education level, employment status, and social support | Health status and quality of life in COPD vs non-COPD subjects | Lack of social support and low economic status associated with poorer health status in COPD |
| Calderón-Larrañaga et al | UK, national cross-sectional study (N=53,676,021) | Deprivation index | Hospitalizations for COPD | Deprivation and smoking prevalence were variables with highest explanatory power, accounting for 59.3% and 51.4% of the total variance, respectively |
| Miravitlles et al | Spain, nationwide survey (N=4,574) | Education level and occupation | HrQOL in COPD patients | Worse HrQOL in low education level and in unskilled workers |
| Eisner et al | CA, in the US (N=1,202) (insured COPD patients) | Education and income levels | Physical impairment (6-minute walk), pulmonary function, and disease severity including BODE index | Low SES associated with worse physical impairment, pulmonary, function, and disease severity in a COPD population with broad access to health care |
| Omachi et al | CA, in the US, population survey in persons >55 years (N=277) | Health literacy | COPD-related health status and COPD-related ED or hospitalizations using multifactorial analysis adjusted for income and educational levels | Poorer health literacy associated with worse health status, HrQOL, and ED and hospitalizations for COPD |
| McAllister et al | All Scottish residents (UK) | Scottish Index of Multiple Deprivation (measure using multiple domains such as income, housing, access, education) | Hospitalization rates in COPD associated with deprivation index and winter season | SES and winter act synergistically on rate of COPD hospitalizations |
| Gershon et al | ON, Canada | Average household income based on residence | Mortality of COPD | Although overall COPD mortality decreased between 1966 and 2012, differences in COPD mortality between low and high income widened over the study period |
| Lange et al | Copenhagen, Denmark (N=6,590) adults with COPD | Education <8 years, 8–10 years, >10 years with some college or completed college | AECOPD, hospital admissions, mortality | Highest risk of AECOPD, low lung function, and highest respiratory symptoms |
| Trachtenberg et al | Administrative database in Winnipeg, Canada N=34,741 asthma and COPD) | Census-based household income | Hospitalizations for asthma or COPD | Lower SES associated with higher risk of hospitalizations |
| Sharma et al | US Medicare beneficiaries with COPD | Socioeconomic status based on if Medicaid eligible (low SES) | Burn injuries related to oxygen use | Twofold risk of oxygen-related burn injuries in low SES people |
Abbreviations: AECOPD, acute exacerbation of COPD; COPD, chronic obstructive pulmonary disease; ED, emergency department; HrQOL, health-related quality of life; LOS, length of stay; OR, odds ratio; RR, relative risk; SES, socioeconomic status.
Figure 1All-cause mortality rate by socioeconomic status among COPD patients in Canada from 1996/1997 to 2011/2012.
Note: Reprinted with permission of the American Thoracic Society. Copyright © 2016 American Thoracic Society. Gershon AS, Hwee J, Victor JC, Wilton AS, To T. 2014. Trends in socioeconomic status-related differences in mortality among people with chronic obstructive pulmonary disease. Ann Am Thorac Soc. 11:1195–1202. The Annals of the American Thoracic Society is an official journal of the American Thoracic Society.55
Abbreviation: COPD, chronic obstructive pulmonary disease.
Figure 2World Health Organization drug therapy guidelines for managing acute exacerbations of COPD and stable management in resource limited settings.
Note: Reprinted from World Health Organization. Prevention and control of non-communicable diseases: guidelines for primary health care in low-resource settings. Copyright 2012.142
Abbreviations: ADRs, adverse drug reactions; AECOPD, acute exacerbation of COPD; COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus; ICS, inhaled corticosteroid; IV, intravenous.
Drug costs relative to days of work in low-income people in the US
| Measure | Albuterol MDI (200 inhalations) | ICS/LABA inhaler | LAMA inhaler | Albuterol + ICS/LABA + LAMA |
|---|---|---|---|---|
| Retail drug costs | $55.00 | $340.00 | $320.00 | $715.00 |
| Days of work required to pay for medication(s) using ~ minimum wage | 0.86 days | 5.3 days | 5 days | 11.2 days |
Notes:
One month supply.
Approximate retail costs with no subsidies were obtained from www.goodrx.com. Accessed February 1, 2016.197
Annual income of $16,640 (based on a minimum wage salary of $8/hour at 40 hours/week).
Abbreviations: MDI, metered dose inhaler; ICS, inhaled corticosteroid; LABA, long-acting beta agonist; LAMA, long-acting antimuscarinic agent.