GP utilisation by education level among adults with COPD or asthma: a cross-sectional register-based study

Variations in COPD Health Care Access and Outcomes: A Rapid Review

Background

Health inequities among individuals with chronic obstructive pulmonary disease (COPD) are often associated with differential access to health care and health outcomes. A greater understanding of the literature concerning such variation is necessary to determine where gaps or inequities exist along the continuum of COPD care.

Methods

A rapid review of the published and grey literature reporting variations in health care access and/or health outcomes for individuals with COPD was completed. Variation was defined as differential patterns in access indicators or outcome measures within sociodemographic categories, including age, ethnicity, geography, race, sex, and socioeconomic status. Emergent themes were identified from the included literature and synthesized narratively.

Results

Thirty-five articles were included for final review; the majority were retrospective cohort studies. Twenty-five studies assessed variation in access to health care. Key indicators included: access to spirometry testing, medication adherence, participation in pulmonary rehabilitation, and contact with general practitioners and/or respiratory specialists. Twenty-one studies assessed variation in health outcomes in COPD and key metrics included: hospital-based resource utilization (length of stay and admissions/readmissions), COPD exacerbations, and mortality. Patients who live in rural environments and those of lower socioeconomic status had both poorer access to care and outcomes at the system and patient level. Other sociodemographic variables, including ethnicity, race, age, and sex were associated with variation in health care access and outcomes, although these findings were less consistent.

Conclusion

The results of this rapid review suggest that substantial variation in access and outcomes exists for individuals with COPD, highlighting opportunities for targeted interventions and policies.

Analysis of age-related prevalence and risk factors of chronic rhinosinusitis with asthma

OBJECTIVE

To determine age-related risk factors for chronic rhinosinusitis (CRS) with asthma.

METHODS

Data were obtained from a national survey of non-hospitalized civilians conducted by the Korean Center for Disease Control and Prevention. CRS diagnosis was based on the guidelines of the European Position Paper on Rhinosinusitis and Nasal Polyps 2020. Asthma was judged based on whether the patient had been diagnosed with asthma in the past. Of the 45,811 survey participants, 26,335 were included in the cross-sectional study. Participants included in the study were divided into the control, CRS, and CRS with asthma groups. Age-related risk factors were analyzed in patients aged < 60 or > 60 years. Univariate logistic analyses were performed to evaluate the relationship between groups. Risk factors included age, sex, household income, residence, education level, occupation, and body mass index (BMI).

RESULTS

Education level (Odds Ratio [OR]: 0.342, P = .0003), BMI (OR: 1.09, P = .0082), and total IgE (TIgE) levels (OR: 5.582, P = .003) were significantly different between the control and the CRS with asthma group. Education level (OR: 0.478, P = .0016) and TIgE levels (OR: 4, P = .0218) were significantly different between the CRS and CRS with asthma groups under 60 years of age. BMI (OR: 1.087, P = .0443; OR: 1.104, P = .0224) showed a significant difference between all three groups with age > 60 years.

CONCLUSION

Progression to CRS with asthma is influenced by education level, occupation, and TIgE levels in patients under 60 years of age. BMI was the only influencing factor associated with the progression to CRS with asthma in those aged > 60 years.

Chronic respiratory disease mortality and its associated factors in selected Asian countries: evidence from panel error correction model

Background

Chronic Respiratory Diseases (CRDs) in Asian countries are a growing concern in terms of morbidity and mortality. However, a systematic understanding of the increasing age-adjusted mortality rate of chronic respiratory disease (CRD) and its associated factors is not readily available for many Asian countries. We aimed to determine country-level factors affecting CRD mortality using a panel error correction model.

Methods

Based on data from the Global Burden of Disease Study 2017, we estimated the trends and distribution of CRD mortality for selected Asian countries from 2010 to 2017. Furthermore, we evaluated the relationship between CRD mortality and Gross Domestic Product (GDP) per capita, average years of schooling, urbanization, and pollutant emission (PM2.5 concentration) using a fixed-effect model. We corrected the estimates for heteroscedasticity and autocorrelation through Prais-Winsten adjustment along with robust standard error.

Results

Between 2010 and 2017, approximately 21.4 million people died from chronic respiratory diseases in the countries studied. Age-standardized crude mortality rate from CRDs in the period had minimum and maximum values of 8.19 (Singapore in 2016) and 155.42 (North Korea in 2010) per 100,000 population, respectively. The coefficients corrected for autocorrelation and heteroskedasticity based on the final model of our study (Prais-Winsten), showed that all explanatory variables were statistically significant (p < 0.001). The model shows that the 1% increase in GDP per capita results in a 20% increase (0.203) in the CRD mortality rate and that a higher concentration of air pollution is also positively associated with the CRD deaths (0.00869). However, an extra year of schooling reduces the mortality rate by 4.79% (− 0.0479). Further, rate of urbanization is negatively associated with the CRD death rate (− 0.0252).

Conclusions

Our results indicate that both socioeconomic and environmental factors impact CRD mortality rates. Mortality due to CRD increases with rising GDP per capita and decreases with the percentage of the total population residing in urban areas. Further, mortality increases with greater exposure to PM2.5. Also, higher years of schooling mitigate rising CRD mortality rates, showing that education can act as a safety net against CRD mortality. These results are an outcome of sequential adjustments in the final model specification to correct for heteroscedasticity and autocorrelation.

Is the Disease Burden from COPD in Norway Falling off? A Study of Time Trends in Three Different Data Sources

Background

Less smoking should lead to fewer COPD cases. We aimed at estimating time trends in the prevalence and burden of COPD in Norway from 2001 to 2017.

Methods

We used pre-bronchodilator spirometry and other health data from persons aged 40–84 years in three surveys of the Tromsø Study, 2001–2002, 2007–2008 and 2015–2016. We applied spirometry lower limits of normal (LLN) according to Global Lung Initiative 2012. Age-standardized prevalence was determined. We defined COPD as FEV₁/FVC<LLN in subjects reporting dyspnea or coughing, and moderate to severe COPD when FEV₁ <LLN was found in addition. We identified hospitalizations due to COPD exacerbations in the Norwegian Patient Registry 2010–2017, and retrieved the use of COPD medication from the Norwegian Prescription Database. Change in prevalence was analyzed by logistic regression.

Results

In the Tromsø Study, the age-standardized prevalence of daily smoking dropped from 29.9% to 14.1% among women and from 31.4% to 12.8% among men (P<0.0001). The age-standardized prevalence of COPD dropped from 7.6% to 5.6% among women (P=0.2) and from 7.3% to 5.6% among men (P=0.003) and of moderate to severe COPD from 5.2% to 2.7% among women (P=0.0003) and from 4.6% to 3.2% among men (P=0.0008). Among men, the yearly age-standardized prevalence of hospitalization due to COPD exacerbation decreased from 3.6 to 3.0 per 1000 inhabitants aged 40–84 years (P<0.0001). Correspondingly, dispensing oral corticosteroids or/and antibiotics for COPD exacerbations dropped from 6.6 to 5.8 per 1000 (P<0.0001), while dispensing maintenance treatment increased (P<0.0001).

Conclusion

COPD morbidity decreased between 2001 and 2017, which might partly be due to less smoking. The drop in smoking prevalence gives promise of a further substantial decrease in the coming decades.

Practical utility of general practice data capture and spatial analysis for understanding COPD and asthma

BACKGROUND

General practice-based (GP) healthcare data have promise, when systematically collected, to support estimating local rates of chronic obstructive pulmonary disease (COPD) and asthma, variations in burden of disease, risk factors and comorbid conditions, and disease management and quality of care. The use of GP information systems for health improvement has been limited, however, in the scope and quality of data. This study assessed the practical utility of de-identified clinical databases for estimating local rates of COPD and asthma. We compared COPD and asthma rates to national benchmarks, examined health related risk factors and co-morbidities as correlates of COPD and asthma, and assessed spatial patterns in prevalence estimates at the small-area level.

METHODS

Data were extracted from five GP databases in western Adelaide, South Australia, for active patients residing in the region between 2012 and 2014. Prevalence estimates were computed at the statistical area 1 (SA1) spatial unit level using the empirical Bayes estimation approach. Descriptive analyses included summary statistics, spatial indices and mapping of geographic patterns. Bivariate associations were assessed, and disease profiles investigated to ascertain multi-morbidities. Multilevel logistic regression models were fitted, accounting for individual covariates including the number of comorbid conditions to assess the influence of area-level socio-economic status (SES).

RESULTS

For 33,725 active patients, prevalence estimates were 3.4% for COPD and 10.3% for asthma, 0.8% higher and 0.5% lower for COPD and asthma, respectively, against 2014-15 National Health Survey (NHS) benchmarks. Age-specific comparisons showed discrepancies for COPD in the '64 years or less' and 'age 65 and up' age groups, and for asthma in the '15-25 years' and '75 years and up' age groups. Analyses confirmed associations with individual-level factors, co-morbid conditions, and area-level SES. Geographic aggregation was seen for COPD and asthma, with clustering around GP clinics and health care centres. Spatial patterns were inversely related to area-level SES.

CONCLUSION

GP-based data capture and analysis has a clear potential to support research for improved patient outcomes for COPD and asthma via knowledge of geographic variability and its correlates, and how local prevalence estimates differ from NHS benchmarks for vulnerable age-groups.

Instability of Willingness to Accept Life-Sustaining Treatments in Patients With Advanced Chronic Organ Failure During 1 Year

BACKGROUND

For optimal end-of-life decision-making, it is important to understand the stability of patients' treatment preferences. The aim of this paper is to examine the stability of willingness to accept life-sustaining treatments during 1-year follow-up in Dutch patients with advanced chronic organ failure. In addition, we want to explore the association between willingness to accept high-burden treatment and preferences for CPR and mechanical ventilation (MV).

METHODS

In this multicenter longitudinal study, 265 clinically stable outpatients with advanced COPD (Global Initiative for Chronic Obstructive Lung Disease stage III/IV [n = 105]), chronic heart failure (New York Heart Association class III/IV [n = 80]), or chronic renal failure (requiring dialysis [n = 80) were visited at baseline and at 4, 8, and 12 months to assess the stability of life-sustaining treatment preferences using the Willingness to Accept Life-sustaining Treatment instrument.

RESULTS

Two hundred six patients completed 1-year follow-up (mean age, 67.2 years [SD, 13.1 years]; 64.1% men). Overall, proportions of patients who were willing to accept life-sustaining treatment during 1 year did not change over time. However, individual trajectories showed that about two-thirds of patients changed their preferences at least once during a year. Moreover, there was no association found between the stability of willingness to undergo high-burden therapy and the stability of preferences for CPR and MV.

CONCLUSIONS

The current findings show the complexity of preferences for end-of-life care and indicate once again that advance care planning is a continuous process between patients and physicians, in which preferences for specific situations are discussed and that needs to be regularly reevaluated to deliver high-quality end-of-life care.

CLINICAL TRIAL REGISTRATION

Netherlands National Trial Register (NTR 1552).