Measuring the health of populations: explaining composite indicators

Hip prosthesis and colon surgery, a decade of surveillance on surgical site infections in Italy, a prospective cohort study: rates, trends, and disease burden in DALYs

BACKGROUND

Surveillance programs are a key element of interventions aiming to reduce rates of surgical site infections (SSIs). The aim of this study was to evaluate rates and trends of SSIs following hip arthroplasty and colon surgery procedures in Piedmont, a region in North-western Italy, from 2010 to 2019. Further, we aimed to assess the burden of SSIs in terms of Disability-Adjusted Life-Years (DALYs).

METHODS

A prospective cohort study was conducted among 42 hospitals participating in the surveillance system. Procedure-specific SSI rates were calculated and the 2010 - 2019 trend was evaluated using Spearman's Rho test. Patients were stratified according to age, sex and infection risk index according to life expectancy in order to calculate DALYs, using a modified version of the ECDC's BCoDE toolkit: disease models for both procedure types were adapted to incorporate long-term disability associated with SSIs.

RESULTS

Overall, 20,356 hip arthroplasty and 11,011 colon surgery procedures were monitored over 10 years and were included in our analyses. Hip arthroplasty and colon surgery cumulative SSIs rates were 1.5% and 8% respectively. Using the Spearman's Rho test, we evaluated a significant downward trend from 2010 to 2019 for colon surgery interventions (Rs - 0.7, p < 0.05), while there was no difference for hip arthroplasty. (Rs - 0.04, p > 0.05). Regarding disease burden, a total of 955.3 (95%CI 837.7-1102.98) and 208.65 (95%CI 180.87-240.90) DALYs were calculated for SSIs following hip arthroplasty, whilst 76.58 (95%CI 67.15-90.71) and 38.62 (95% CI 33.09-45.36) DALYs for SSIs in colon surgery, in 2010 and 2019, respectively.

CONCLUSIONS

The significant decrease both in terms of incidence and DALYs found in this study for colon surgery and the stability for hip arthroplasty support the role of surveillance networks in improving quality of care. Despite the smaller SSI rate, the burden associated with SSIs following hip arthroplasty was higher, which is important to consider in light of the aging population in Italy.

Estimating the disability adjusted life years associated with COVID-19 in Iran for the first 2 years of the pandemic

Background

The World Health Organization (WHO) declared a pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), on 11 March 2020. Disability-adjusted life years (DALYs) combine the impact of morbidity and mortality, allowing for comprehensive comparisons of the population. The purpose of this study was to estimate DALYs due to COVID-19 in Iran for the first 2 years of the pandemic.

Methods

DALYs were estimated as the sum of Years of Life Lost (YLLs) and Years Lived with Disability (YLDs) associated with COVID-19 in Iran from 19 February 2020 to 20 March 2022. The life expectancy for COVID-19 YLL estimations was based on the Global Burden of Disease (GBD) 2019 study.

Results

There were 15,639,243 outpatients and 1,170,602 hospitalized confirmed cases, of which 120,965 deaths were as a direct result of COVID-19. DALYs were estimated to be 2,376,552. Overall, YLL contributed to 99.34% of the DALYs, while the remaining 0.66% was attributed to YLD.

Conclusion

COVID-19 had a significant impact on population health in Iran during the first 2 years of the pandemic; this study provides a comprehensive depiction of COVID-19's burden and is helpful for comparing its impact with other diseases in the population and across populations.

The socioeconomic distribution of life expectancy and healthy life expectancy in Chile

BACKGROUND

Life expectancy (LE) has usually been used as a metric to monitor population health. In the last few years, metrics such as Quality-Adjusted-Life-Expectancy (QALE) and Health-Adjusted-Life- Expectancy (HALE) have gained popularity in health research, given their capacity to capture health related quality of life, providing a more comprehensive approach to the health concept. We aimed to estimate the distribution of the LE, QALEs and HALEs across Socioeconomic Status in the Chilean population.

METHODS

Based on life tables constructed using Chiang II´s method, we estimated the LE of the population in Chile by age strata. Probabilities of dying were estimated from mortality data obtained from national registries. Then, life tables were stratified into five socioeconomic quintiles, based on age-adjusted years of education (pre-school, early years to year 1, primary level, secondary level, technical or university). Quality weights (utilities) were estimated for age strata and SES, using the National Health Survey (ENS 2017). Utilities were calculated using the EQ-5D data of the ENS 2017 and the validated value set for Chile. We applied Sullivan´s method to adjust years lived and convert them into QALEs and HALEs.

RESULTS

LE at birth for Chile was estimated in 80.4 years, which is consistent with demographic national data. QALE and HALE at birth were 69.8 and 62.4 respectively. Men are expected to live 6.1% less than women. However, this trend is reversed when looking at QALEs and HALEs, indicating the concentration of higher morbidity in women compared to men. The distribution of all these metrics across SES showed a clear gradient in favour of a better-off population-based on education quintiles. The absolute and relative gaps between the lowest and highest quintile were 15.24 years and 1.21 for LE; 18.57 HALYs and 1.38 for HALEs; and 21.92 QALYs and 1.41 for QALEs. More pronounced gradients and higher gaps were observed at younger age intervals.

CONCLUSION

The distribution of LE, QALE and HALEs in Chile shows a clear gradient favouring better-off populations that decreases over people´s lives. Differences in LE favouring women contrast with differences in HALEs and QALEs which favour men, suggesting the need of implementing gender-focused policies to address the case-mix complexity. The magnitude of inequalities is greater than in other high-income countries and can be explained by structural social inequalities and inequalities in access to healthcare.

Making Sense of Composite Endpoints in Clinical Research

Multiple drugs currently used in clinical practice have been approved by regulatory agencies based on studies that utilize composite endpoints. Composite endpoints are appealing because they reduce sample size requirements, follow-up periods, and costs. However, interpreting composite endpoints can be challenging, and their misuse is not uncommon. Incorrect interpretation of composite outcomes can lead to misleading conclusions that impact patient care. To correctly interpret composite outcomes, several important questions should be considered. Are the individual components of the composite outcome equally important to patients? Did the more and less important endpoints occur with similar frequency? Do the component endpoints exhibit similar relative risk reductions? If these questions receive affirmative answers, the use and interpretation of the composite endpoint would be appropriate. However, if any component of the composite endpoint fails to satisfy the aforementioned criteria, interpretation can become difficult, necessitating additional steps. Regulatory agencies acknowledge these challenges and have specific considerations when approving drugs based on studies employing composite endpoints. In conclusion, composite endpoints are valuable tools for evaluating the efficacy and net clinical benefit of interventions; however, cautious interpretation is advised.

Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer Screening

Background and Aims

Artificial intelligence-aided colonoscopy significantly improves adenoma detection. We assessed the cost-effectiveness of the GI Genius technology, an artificial intelligence-aided computer diagnosis for polyp detection (CADe), in improving colorectal cancer outcomes, adopting a Canadian health care perspective.

Methods

A Markov model with 1-year cycles and a lifetime horizon was used to estimate incremental cost-effectiveness ratio comparing CADe to conventional colonoscopy polyp detection amongst patients with a positive faecal immunochemical test. Outcomes were life years (LYs) and quality-adjusted life years (QALY) gained. The analysis applied costs associated with health care resource utilization, including procedures and follow-ups, from a provincial payer's perspective using 2022 Canadian dollars. Effectiveness and cost data were sourced from the literature and publicly available databases. Extensive probabilistic and deterministic sensitivity analyses were performed, assessing model robustness.

Results

Life years and QALY gains for the CADe and conventional colonoscopy groups were 19.144 versus 19.125 and 17.137 versus 17.113, respectively. CADe and conventional colonoscopies' overall per-case costs were $2990.74 and $3004.59, respectively. With a willingness-to-pay pre-set at $50,000/QALY, the incremental cost-effectiveness ratio was dominant for both outcomes, showing that CADe colonoscopy is cost-effective. Deterministic sensitivity analysis confirmed that the model was sensitive to the incidence risk ratio of adenoma per colonoscopy for large adenomas. Probabilistic sensitivity analysis showed that the CADe strategy was cost-effective in up to 73.4% of scenarios.

Conclusion

The addition of CADe solution to colonoscopy is a dominant, cost-effective strategy when used in faecal immunochemical test-positive patients in a Canadian health care setting.

Inequality in quality-adjusted life expectancy by educational attainment in Norway: an observational study

BACKGROUND

Health inequalities are often assessed in terms of life expectancy or health-related quality of life (HRQoL). Few studies combine both aspects into quality-adjusted life expectancy (QALE) to derive comprehensive estimates of lifetime health inequality. Furthermore, little is known about the sensitivity of estimated inequalities in QALE to different sources of HRQoL information. This study assesses inequalities in QALE by educational attainment in Norway using two different measures of HRQoL.

METHODS

We combine full population life tables from Statistics Norway with survey data from the Tromsø study, a representative sample of the Norwegian population aged ≥ 40. HRQoL is measured using the EQ-5D-5L and EQ-VAS instruments. Life expectancy and QALE at 40 years of age are calculated using the Sullivan-Chiang method and are stratified by educational attainment. Inequality is measured as the absolute and relative gap between individuals with lowest (i.e. primary school) and highest (university degree 4 + years) educational attainment.

RESULTS

People with the highest educational attainment can expect to live longer lives (men: + 17.9% (95%CI: 16.4 to 19.5%), women: + 13.0% (95%CI: 10.6 to 15.5%)) and have higher QALE (men: + 22.4% (95%CI: 20.4 to 24.4%), women: + 18.3% (95%CI: 15.2 to 21.6%); measured using EQ-5D-5L) than individuals with primary school education. Relative inequality is larger when HRQoL is measured using EQ-VAS.

CONCLUSION

Health inequalities by educational attainment become wider when measured in QALE rather than LE, and the degree of this widening is larger when measuring HRQoL by EQ-VAS than by EQ-5D-5L. We find a sizable educational gradient in lifetime health in Norway, one of the most developed and egalitarian societies in the world. Our estimates provide a benchmark against which other countries can be compared.

Global, regional and national burden, incidence, and mortality of cervical cancer

AIM

Among gynecological cancers, cervical cancer is the most common cause of cancer-related death in developing countries. This study analyzes the incidence, mortality, and burden of cervical cancer using the Global Burden of Disease (GBD) 2019 study.

MATERIALS AND METHODS

The GBD (2019) data on cervical cancer was extracted from the Global Health Data Exchange (GHDx) query tool. Age-standardized rate (ASR) incidence, deaths, lost years of life (YLLs), years of life with disabilities (YLDs), and adjusted years of life with disabilities (DALYs) of cervical cancer in women were extracted. Data were extracted globally for 204 countries and groups based on a socio-demographic index (SDI), World Health Organization (WHO) regions, continents, World Bank regions, and 22 GBD regions.

RESULTS

The higher standardized age incidence of cervical cancer is in lower SDI countries, Africa, the African region (According to the WHO), and Sub-Saharan Africa (According to GBD regions). The highest deaths of ASR is in countries with low SDI, low-income group, Africa, the African region (According to the World Health Organization), and Sub-Saharan Africa (According to GBD regions). According to SDI classification, the highest DALYs ASR is in low SDI countries, World Bank Low-income countries, African and then American continents, African region, Sub-Saharan Africa, and then Latin America & Caribbean-WB (Based on GBD regions).

CONCLUSION

In 2019, incidence, mortality, and DALYs of cervical cancer mostly affected countries with lower socioeconomic status. Given that cervical cancer is highly preventable, access to screening services and the presence of trained and knowledgeable health care staff can reduce illness, suffering, and death caused by this malignancy. It is recommended to use the national and international potentials to reduce the incidence of this malignancy.

Quality of life and societal costs in hypertrophic cardiomyopathy: protocol of the AFFECT-HCM study

BACKGROUND

Ever since the first description of hypertrophic cardiomyopathy (HCM), the most common genetic cardiac disease, tremendous progress has been made in the evaluation and management of HCM patients, but little attention has been focused on the impact of HCM on societal costs and quality of life (QoL).

AIMS

This paper describes the study protocol for the AFFECT-HCM study into burden of disease (BoD), which aims to estimate health-related QoL and societal costs in HCM patients and genotype-positive phenotype-negative (G+/P-) relatives during a one-year follow-up study, and relate this to the phenotypical HCM expression.

METHODS

A total of 400 Dutch HCM patients and 100 G+/P- subjects will be followed for one year in a prospective, multi-centre, prevalence-based BoD study. Societal costs will be measured via a bottom-up approach using the cost questionnaires iMCQ and iPCQ. For QoL, the generic EQ-5D-5L and disease-specific Kansas City Cardiomyopathy Questionnaire will be used. QoL and societal costs will be compared with phenotype-specific HCM characteristics and other determinants to identify factors that influence BoD. Accelerometry will test the correlation between BoD and physical activity.

CONCLUSION

The AFFECT-HCM study will evaluate the BoD in HCM patients and G+/P- subjects to improve the understanding of the societal and economic impact of HCM.

Well-Being Adjusted Health Expectancy: A New Summary Measure of Population Health

We propose a new summary measure of population health (SMPH), the well-being-adjusted health expectancy (WAHE). WAHE belongs to a subgroup of health-adjusted life expectancy indicators and gives the number of life years equivalent to full health. WAHE combines health and mortality information into a single indicator with weights that quantify the reduction in well-being associated with decreased health. WAHE's advantage over other SMPHs lies in its ability to differentiate between the consequences of health limitations at various levels of severity and its transparent, simple valuation function. Following the guidelines of a Committee on Summary Measures of Population Health, we discuss WAHE's validity, universality, feasibility sensitivity and ensure its reproducibility. We evaluate WAHE's performance compared to life expectancy, the most commonly used indicators of health expectancy (HE) and disability-adjusted life expectancy (DALE) in an empirical application for 29 European countries. Data on health and well-being are taken from the 2018 EU-SILC, and the life tables are from Eurostat. DALE is taken from the database of the Global Burden of Disease Programme. WAHE's sensitivity to univariate and multivariate state specifications is studied using the three Minimum European Health Module health dimensions: chronic morbidity, limitations in activities of daily living, and self-rated health. The empirical tests of the indicators' correspondence reveal that WAHE has the strongest correlation with the other SMPHs. Moreover, WAHE estimates are in agreement with all other SMPHs. Additionally, WAHE and all other SMPHs form a group of reliable indicators for studying population health in European countries. Finally, WAHE estimates are robust, regardless of whether health is defined across one or multiple simultaneous dimensions of health. We conclude that WAHE is a useful and reliable indicator of population health and performs at least as well as other commonly used SMPHs.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10680-022-09628-1.

QALY losses for chronic diseases and its social distribution in the general population: results from the Belgian Health Interview Survey

Background

The burden of chronic diseases is rapidly rising, both in terms of morbidity and mortality. This burden is disproportionally carried by socially disadvantaged population subgroups. Quality-adjusted life years (QALYs) measure the impact of disease on mortality and morbidity into a single index. This study aims to estimate the burden of chronic diseases in terms of QALY losses and to model its social distribution for the general population.

Methods

The Belgian Health Interview Survey 2013 and 2018 provided data on self-reported chronic conditions for a nationally representative sample. The annual QALY loss per 100,000 individuals was calculated for each condition, incorporating disease prevalence and health-related quality of life (HRQoL) data (EQ-5D-5L). Socioeconomic inequalities, based on respondents’ socioeconomic status (SES), were assessed by estimating population attributable fractions (PAF).

Results

For both years, the largest QALY losses were observed in dorsopathies, arthropathies, hypertension/high cholesterol, and genitourinary problems. QALY losses were larger in women and in older individuals. Individuals with high SES had consistently lower QALY loss when facing a chronic disease compared to those with low SES. In both years, a higher PAF was found in individuals with hip fracture and stroke. In 2013, the health inequality gap amounts to 33,731 QALYs and further expanded to 42,273 QALYs in 2018.

Conclusion

Given that chronic diseases will rise in the next decades, addressing its burden is necessary, particularly among the most vulnerable (i.e. older persons, women, low SES). Interventions in these target groups should get priority in order to reduce the burden of chronic diseases.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13675-y.

County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado

Cardiometabolic diseases are a group of interrelated diseases that pose greater burden among socially vulnerable communities. The social vulnerability index (SVI) identifies communities vulnerable to emergencies and may also help determine communities at risk of adverse chronic health outcomes. However, no studies have examined the relationship between the SVI and cardiometabolic health outcomes in Colorado or focused on rural settings. The aim of this ecological study was to determine whether the county-level SVI is associated with county-level cardiometabolic health indicators with a particular focus on rurality and racial/ethnic diversity. We obtained 2014 SVI scores from the Centers for Disease Control and Prevention (scored 0–1; higher = more vulnerable) and 2013–2015 cardiometabolic health estimates from the Colorado Department of Public Health and Environment. The distribution of social determinants of health was spatially evaluated. Bivariate relationships between the SVI and cardiometabolic indicators were estimated using simple linear regression models. The highest SVI scores were observed in rural areas, including the San Luis Valley (mean: 0.78, median: 0.91), Southeast (mean: 0.72, median: 0.73), and Northeast (mean: 0.66, median: 0.76) regions. Across Colorado, the SVI accounted for 41% of the variability in overweight and obesity prevalence (p < 0.001), 17% of the variability in diabetes prevalence (p = 0.001), and 58% of the age-adjusted myocardial infarction hospitalization rate (p < 0.001). SVI values may be useful in determining a community’s burden of cardiometabolic diseases.

DALY Estimation Approaches: Understanding and Using the Incidence-based Approach and the Prevalence-based Approach

Disability-adjusted life-year (DALY) estimates may vary according to factors such as the standard life expectancy, age weighting, time preference and discount rate, calculation of disability weights, and selection of the estimation method. DALY estimation methods are divided into the following 3 approaches: the incidence-based approach, the pure prevalence-based approach, and the hybrid approach. These 3 DALY estimation approaches each reflect different perspectives on the burden of disease using unique characteristics, based on which the selection of a suitable approach may vary by the purpose of the study. The Global Burden of Disease studies, which previously estimated DALYs using the incidence-based approach, switched to using the hybrid approach in 2010, while the National Burden of Disease studies in Korea still mainly apply the incidence-based approach. In order to increase comparability with other international burden of disease studies, more DALY studies using the prevalence-based approach need to be conducted in Korea. However, with the limitations of the hybrid approach in mind, it is necessary to conduct more research using a disease classification system suitable for Korea. Furthermore, more detailed and valid data sources should be established before conducting studies using a broader variety of DALY estimation approaches. This review study will help researchers on burden of disease use an appropriate DALY estimation approach and will contribute to enhancing researchers’ ability to critically interpret burden of disease studies.

Burden of severe COVID-19 in center of Iran: results of disability-adjusted life years (DALYs)

The outbreak of COVID-19 disease is an international public health concern. Therefore, the analysis of information related to mortality and disability due to COVID-19 is considered important, so the present study was designed and conducted with the aim of assessing COVID-19 Disability-Adjusted Life Years (DALYs) in Yazd. In Yazd province, all suspected cases of COVID-19 that would be referred to central hospitals in order to get confirmed through PCR or CT scan test, were recruited to our study. The fatality data of COVID-19 was gathered from the forensic medicine organization. The Disability-Adjusted Life Years (DALYs) combines in one measure years of life lost (YLL), the loss of healthy life due to premature mortality and years of life lived with disability (YLD), the loss of healthy life because of disease and disability. The total burden of COVID-19 was 23,472 years. The number of years lost due to premature death was 23385 and the number of years of life with disability due to COVID-19 was estimated to be 87 years. The disease burden was 12992 years for men and 10480 years for women. The overall incidence of COVID-19 was 1411 per 100,000, of which 1419 in men and 1402 in women per 100,000. The outbreak of COVID-19 pandemic affected a large population and the residents of Yazd Province lost many years of their lives due to this disease.

Impact of Diabetes on Life and Healthy Life Expectancy Among Older Women

BACKGROUND

Diabetes is a major chronic condition with ever-increasing health and economic burden. This study aimed to measure the impact of diabetes on total life expectancy (TLE) and healthy life expectancy (HLE) at ages 70 and 80 and to assess how educational level, obesity, and comorbidity affected the expectancies.

METHODS

The study involved 9849 population-representative women born between 1921 and 1926 from the Australian Longitudinal Study on Women's Health (ALSWH). Self-rated health was obtained from the ALSWH surveys. Diabetes diagnosis was ascertained using survey and health care administrative data. Total life expectancy and HLE were estimated for women with and without diabetes using multistate modeling.

RESULTS

Diabetes was associated with an increased risk of poor health (adjusted risk ratio: 1.63, 95% confidence interval: 1.49-1.79). Diabetes was also associated with a reduction of 0.9 years in HLE and 2.6 years in TLE at age 70 and 0.4 years in HLE and 1.3 years in TLE at age 80. If a woman had low education, obesity, and more than 2 comorbidities in addition to diabetes, these reductions increased to 3.0 years in TLE and 7.9 years in HLE at age 70 and 1.5 years in TLE and 3.8 years in HLE at age 80.

CONCLUSIONS

Diabetes substantially reduced older women's quantity and quality of life, with further reductions for those with lower education, obesity, and comorbidities. These findings underscore the importance of optimally managing diabetes by maintaining a healthy weight and delaying the onset of comorbidities, to promote healthy aging for older women with diabetes.

The Gaps in Health-Adjusted Life Years (HALE) by Income and Region in Korea: A National Representative Bigdata Analysis

This study aims to calculate the health-adjusted life years (HALE) by using years lived with disability (YLD) from the national claims data, as well as to identify the differences and inequalities in income level and region. The study was carried out on total population receiving health insurance and medical benefits. We calculated incidence-based YLD for 260 disease groups, and used it as the number of healthy years lost to calculate HALE. We adopted the insurance premium to calculate the income as a proxy indicator. For the region classification, we chose 250 Korean municipal-level administrative districts. Our results revealed that HALE increased from 2008 to 2018. HALE in males increased faster than that in females. HALE was higher in higher income levels. In 2018, the gap in HALE between Q1 and Q2, the lower income group, was about 5.57 years. The gap in females by income level was smaller than that in males. Moreover, the gap in HALE by region was found to increase. Results suggest that there is an inequality in YLD in terms of income level in Korea. Therefore, we need intensive management for the low-income group to promote HALE at the national level.

Composite outcome measurement in clinical research: the triumph of illusion over reality?

Composite measures that combine different types of indicators are widely used in medical research; to evaluate health systems, as outcomes in clinical trials and patient-reported outcome measurement. The potential advantages of such indices are clear. They are used to summarise complex data and to overcome the problem of evaluating new interventions when the most important outcome is rare or likely to occur far in the future. However, many scientists question the value of composite measures, primarily due to inadequate development methodology, lack of transparency or the likelihood of producing misleading results. It is argued that the real problems with composite measurement are related to their failure to take account of measurement theory and the absence of coherent theoretical models that justify the addition of the individual indicators that are combined into the composite index. All outcome measures must be unidimensional if they are to provide meaningful data. They should also have dimensional homogeneity. Ideally, a specification equation should be developed that can predict accurately how organisations or individuals will score on an index, based on their scores on the individual indicators that make up the measure. The article concludes that composite measures should not be used as they fail to apply measurement theory and, consequently, produce invalid and misleading scores.

Are We Living Longer and Healthier?

Objective: To examine whether we live healthier as we live longer in Hong Kong, which has one of the highest life expectancies in the world. Methods: Sullivan's method was used to evaluate the chronic disease-free life expectancy (CDFLE), life expectancy in good self-perceived health (GPHLE), and impairment-free life expectancy (IFLE) among population aged 50 years and older in Hong Kong in 2007-2016. Results: In spite of the marked improvement in life expectancy in Hong Kong, the increase in GPHLE was much smaller, while CDFLE and IFLE even declined for both genders. The situation was more severe among older population. Discussion: People in Hong Kong live longer but with worsening health. The expansion of chronic diseases, self-perceived poor health, and impairments among older adults calls for more fiscal investments, government attention, and public health policies.

Development of a percutaneous coronary intervention patient level composite measure for a clinical quality registry

BACKGROUND

Composite measures combine data to provide a comprehensive view of patient outcomes. Despite composite measures being a valuable tool to assess post-intervention outcomes, the patient perspective is often missing. The purpose of this study was to develop a composite measure for an established cardiac outcome registry, by combining clinical outcomes following percutaneous coronary interventions (PCI) with a patient-reported outcome measure (PROM) developed specifically for this population (MC-PROM).

METHODS

Two studies were undertaken. Study 1: Patients who had undergone a PCI at one of the three participating registry hospital sites completed the 5-item MC-PROM. Clinical outcome data for the patients (e.g. death, myocardial infarction, repeat vascularisation, new bleeding event) were collected 30 days post-intervention as part of routine data collection for the cardiac registry. Exploratory factor analysis of clinical outcomes and MC-PROM data was conducted to determine the minimum number of constructs to be included in a composite measure. Study 2: Clinical experts participated in a Delphi technique, consisting of three rounds of online surveys, to determine the clinical outcomes to be included and the weighting of the clinical outcomes and MC-PROM score for the composite measure.

RESULTS

Study 1: Routine clinical outcomes and the MC-PROM data were collected from 266 patients 30 days post PCI. The MC-PROM score was not significantly correlated with any clinical outcomes. Study 2: There was a relatively consistent approach to the weighting of the clinical outcomes and MC-PROM items by the expert panel (n = 18) across the three surveys with the exception of the clinical outcome of 'deceased at 30 days'. The final composite measure included five clinical outcomes within 30 days weighted at 90% (new heart failure, new myocardial infarction, new stent thrombosis, major bleeding event, new stroke, unplanned cardiac rehospitalisation) and the MC-PROM score (comprising 10% of the total weighting).

CONCLUSIONS

A single patient level composite score, which incorporates weighted clinical outcomes and a PROM was developed. This composite score provides a more comprehensive reported measure of individual patient wellbeing at 30 days post their PCI-procedure, and may assist clinicians to further assess and address patient level factors that potentially impact on clinical recovery.

Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea

BACKGROUND

For the Korean Burden of Disease (KBD) 2015 study, we have amended disability weights for causes of disease adapting the methodology of the KBD disability weight 2012 study.

METHODS

We conducted a self-administered web-based survey in Korea using ranking five causes of disease. A total of 605 physicians and medical college students who were attending in third or fourth grade of a regular course performed the survey. We converted the ranked data into paired comparison data and ran a probit regression. The predicted probabilities for each cause of disease were calculated from the coefficient estimates of the probit regression. 'Being dead (1)' and 'Full health (0)' were utilized as anchor points to rescale the predicted probability on a scale from 0 to 1.

RESULTS

As a result, disability weights for a total of 289 causes of disease were estimated. In particular, we calculated the disability weights of 60 causes of disease considering severity level. These results show that prejudice about the severity of cause of disease itself can affect the estimation of disability weight, when estimating the disability weight for causes of disease without consideration of severity. Furthermore, we have shown that disability weights can be estimated based on a ranking method which can maximize efficiency of data collection.

CONCLUSION

Disability weights from this study can be used to estimate disability adjusted life year and healthy life expectancy. Furthermore, we expected that the use of the ranking method will increase gradually in disability weight studies.

The Trends in Health Life Expectancy in Korea according to Age, Gender, Education Level, and Subregion: Using Quality-Adjusted Life Expectancy Method

BACKGROUND

Quality-adjusted life expectancy (QALE) means life expectancy (LE) reflecting health-related quality of life and is one of the indicators of healthy LE. We determined the trends in QALE in Korea by age, gender, educational level, and subregion from 2005 to 2013.

METHODS

We applied the Sullivan method to estimate QALE. We calculated QALE from 2005 to 2013 by gender and QALE for 2005 and 2010 by educational level at the national level. Furthermore, we estimated QALE for 2005, 2008, and 2011 by subregion according to metropolitan and provincial levels.

RESULTS

Population health in Korea measured by LE and QALE at age 0 increased steadily from 2005 to 2013. Annual percent changes of LE and QALE in men were 0.52 and 0.73, respectively (P value < 0.05), and those in women were 0.47 and 0.71, respectively (P value < 0.05). Koreans with a higher educational level had longer LE and QALE than those with a lower educational level, but the differences in LE and QALE according to educational level narrowed from 2005 to 2010. The LE and QALE at age 0 for each of the 16 subnational regions in 2011 increased compared to 2005, but there was still a difference of up to 4.57 years in QALE between subnational regions.

CONCLUSION

We showed that QALE could be easily calculated and be an appropriate measure for tracking the overall population's health level. The results from this study are expected to aid the Ministry of Health of Republic of Korea in setting up a goal for the National Health Plan.

Population indices measuring health outcomes: A scoping review

Background

Population health indices such as disability adjusted life years (DALY) and quality adjusted life years (QALY) are often used in an effort to measure health of populations and identify areas of concern that require interventions. There has been an increase of number of population health indices since the last review published more than a decade ago. Therefore, this study aims to provide an overview of existing population health indices and examine the methods used to develop them.

Methods

The search was conducted across three databases: PubMed, CINAHL and Emerald using four key concepts: ‘health’, ‘index’, ‘context’, ‘develop’, which was supplemented with Google searching and reference scanning. A researcher screened the titles, abstracts and subsequently full texts and confirmed the findings with the research team at each stage. Data charting was performed according to the included publications and identified indices. The collation was performed by describing the indices and made observation on its development method using a priori framework consist of four processes: underpinning theory, model or framework; data selection and processing; formation of index; testing of index.

Results

Twenty-six publications describing population health indices were included, and 27 indices were identified. These indices covered the following health topics: overall health outcomes (n = 15), outcomes for specific health topics (n = 4), diseases outcome (n = 6), assist health resource allocation for priority minority subgroup or geographic area (n = 4), quality of health or health care (n = 2). Twenty-one indices measure health for general populations while six measure defined subpopulations. Fourteen of the indices reported at least one of the development processes according to the a priori framework: underpinning theory, model or framework (n = 7); data selection and processing (n = 8); formation of index (n = 12); testing of index (n = 9).

Conclusions

Few population health indices measure specific health topics or health of specific sub-population. There is also a lack of usage of theories, models or framework in developing these indices. Efforts to develop a guideline is proposed on how population health indices can be developed systematically and rigorously to ensure validity and comprehensive assessment of the indices.

Educational inequalities in Global Activity Limitation Indicator disability in 28 European Countries: Does the choice of survey matter?

Objectives

To assess the sensitivity of prevalence and inequality estimates of Global Activity Limitation Indicator (GALI) to the choice of survey in European countries.

Methods

We use logistic regression to estimate adjusted risk ratios, quantifying differences in prevalence and educational inequalities, the impact of survey characteristics and Kendall’s tau to assess similarity in country rankings between surveys. We include the European Health Interview Survey (EHIS), European Social Survey (ESS) and European Union Statistics on Income and Living Conditions (EU-SILC).

Results

EHIS estimates higher prevalence than EU-SILC 17% (men) and 23% (women), and ESS 24% (men) and 29% (women). Prevalence does not differ significantly between EU-SILC and ESS. EU-SILC estimates 52.5% (men) and 28.1% (women) higher inequalities than EHIS and 63.2% (men) and 32.7% (women) higher inequalities than ESS. Survey characteristics do not account for differences in prevalence or inequalities. Country rankings do not agree for prevalence or inequalities.

Conclusions

Survey choice strongly impacts estimates of GALI prevalence and educational inequalities. Further study is necessary to understand these discrepancies. Caution is required when using these surveys for cross-country comparisons of (educational inequalities in) GALI disability.

Electronic supplementary material

The online version of this article (10.1007/s00038-018-1174-7) contains supplementary material, which is available to authorized users.

Evaluation Model for developing effective indicators for health surveillance actions in Brazil

Abstract Objective: to present an evaluation model for developing effective indicators for the Vigilância Sanitária (VISA) (Sanitary and Health Surveillance) actions in Brazil. Methods: an exploratory, evaluative study from primary sources data - electronic form by key informants and reports on national, international and secondary benchmarking visits - documental analysis. Results: the diversity of VISA management practices made it possible to define the evaluation object: Health Surveillance Actions - as an organized action system. The components: management; regulation; sanitary and health control; sanitary and health risk monitoring and information, communication and health education were derived from the aims of the intervention and composes a central structure of the Theoretical Model and the Logical Model Actions of VISA in the Sistema Nacional de Vigilância Sanitária (SNVS) (National Sanitary and Health Surveillance System) . Conclusions: The Vigilância Sanitária (VISA) (Sanitary and Health Surveillance) accumulates experience with the process indicators for monitoring actions, being incipient are capable of evaluating its impact. The theoretical resources in the evaluation area support the information management in the VISA field and besides contributing for studies on social determinants and the incorporation of analyses in historic series.

B. Valadas SY, Puppim-Buzanovsky L, Rocha F, Sanchez-Vazquez MJ. SisLeish: A multi-country standardized information system to monitor the status of Leishmaniasis in the Americas

BACKGROUND

In the Americas, leishmaniasis is endemic in 18 countries, and from 2001 through 2015, 17 countries reported 843,931 cases of cutaneous and mucocutaneous leishmaniasis, and 12 countries reported 52,176 cases of visceral leishmaniasis. A Regional Information System (SisLeish) was created in order to provide knowledge of the distribution and tendency of this disease to analyze and monitor the leishmaniasis status. This article analyses the performance and progress of SisLeish from 2012-2015.

METHODOLOGY

The performance of SisLeish was evaluated by country adhesion, data completeness and delay in entering the data, and also by the SWOT technique. Furthermore, we outlined the structure and modus operandi of the system and indicators utilized.

RESULTS

In 2012, only 18% of the countries entered the data in SisLeish before the deadline, where 66.7% and 50% of the countries with autochthonous CL/ML and VL reported their cases to the system, respectively. Whereas in 2015, 59% of the countries reached the deadline, where 94.4% and 58.3% of the countries reported their CL/ML and VL data, respectively. Regarding data completeness, there was great progress for different variables since its launch, such as gender, which had an approximately 100% improvement from 2012 to 2015. The SWOT analysis of SisLeish showed 12 strengths, 11 opportunities, seven weaknesses and six threats.

CONCLUSIONS

From 2012-2015 there has been an improvement in the adhesion, quality and data completeness, showing the effort of the majority of the countries to enhance their national database. The SWOT analysis demonstrated that strengths and opportunities exceed weaknesses and threats; however, it highlighted the system frailties and challenges that need to be addressed. Furthermore, it has stimulated several National Programs to advance their surveillance system. Therefore, SisLeish has become an essential tool to prioritize areas, assist in decision-making processes, and to guide surveillance and control actions.

Estimating utility weights and quality-adjusted life year loss for colorectal cancer-related health states in Korea

We aimed to assess utility weight of health states associated with colorectal cancer (CRC) that reflect the societal preference of the Korean population and to estimate the quality-adjusted life year (QALY) loss with CRC. We recruited 607 individuals from the Korean population; they were surveyed via face-to-face computer-assisted interviews. The participants evaluated each CRC-associated health state using standard gamble. Utility weight for each health state was calculated as the possibility of full health restoration. Moreover, we estimated total QALY loss due to CRC in Korean individuals aged ≥30 years in 2013. To calculate QALY due to morbidity, we yielded utility weights and used epidemiologic data of CRC on severity from the National Cancer Control Institute. QALY loss due to mortality was calculated using mortality of CRC and life expectancy data from the Korean Statistical Information Service. The highest and lowest utility weights were assigned to "adenomatous polyps" and "metastatic colon cancer", respectively. Total QALY loss due to CRC in Korea was 173,662; these patients were more likely to be men or be included in the 70-74-year age group. These utility weights may be useful for conducting cost-utility studies of cancer screening for CRC and for measuring disease burden with QALY.

An Approach to Assess the Burden of Work-Related Injury, Disease, and Distress

The true burden (morbidity, mortality, disability, cost, pain, distress) of occupational and work-related diseases and injuries is unknown, and what is reported as burden is significantly underestimated. This underestimation affects the way decision-makers view investments in research and worker protection, which in turn has a substantial impact on national welfare and public health. To better describe the societal and individual burdens of occupational and work-related diseases and injuries, we propose an approach to gauge what is known about burden and where new assessments may be made. This approach consists of 4 elements to consider in burden assessments: (1) utilizing multiple domains, including the individual worker, the worker's family, the community in which the workplace is located, the employer, and society as a whole; (2) taking a broader view of the work-relatedness of disease and injury; (3) assessing the impact of the entire working-life continuum; and (4) applying the comprehensive concept of "well-being" as an indicator in addressing contemporary changes in the nature of work, the workplace, and the workforce. Further research on burden and enhanced surveillance is needed to develop these elements.

Health-Adjusted Life Expectancy (HALE) in Korea: 2005-2011

Health-Adjusted Life Expectancy (HALE) is a summary measurement that estimates the average number of years that a person at a given age can expect to live an equivalent of full health. HALE has not been previously reported at national or regional levels in Korea. This study aimed to measure HALE from 2005 to 2011 in Korea at both the national and regional levels as part of the Korean National Burden Study of 2012. To measure life expectancy (LE) and HALE, we used the life table method and an approach proposed by Sullivan. We used three main data sets to estimate HALE: probability of death, prevalence of disease, and disability weights. Overall, LE and HALE have increased from 2005 to 2011. For example, in 2011, LE and HALE at birth in males were 77.6 and 65.8 years, respectively, and 84.4 and 68.9 in females. It might be assumed that the overall health status of Korean population has been increasing. However, we confirmed that a gap between LE and HALE still exists. Additionally, we found out that there was a significant difference between LE and HALE among various sub-regions. This study is the first to measure HALE using our own database, including disability weight that reflected Korean preferences. Finally, the Korean government and society should make an effort to reduce the gap between LE and HALE and to reduce regional differences.