Indicators to Measure Adolescent Health at the Country, Regional, and Global Levels: Results of a Five-Year Selection Process by the Global Action for the Measurement of Adolescent Health.

PURPOSE: To improve adolescent health measurement, the Global Action for the Measurement of Adolescent health (GAMA) Advisory Group was formed in 2018 and published a draft list of 52 indicators across six adolescent health domains in 2022. We describe the process and results of selecting the adolescent health indicators recommended by GAMA (hereafter, "GAMA-recommended indicators"). METHODS: Each indicator in the draft list was assessed using the following inputs: (1) availability of data and stakeholders' perceptions on their relevance, acceptability, and feasibility across selected countries; (2) alignment with current measurement recommendations and practices; and (3) data in global databases. Topic-specific working groups comprised of GAMA experts and representatives of United Nations partner agencies reviewed results and provided preliminary recommendations, which were appraised by all GAMA members and finalized. RESULTS: There are 47 GAMA-recommended indicators (36 core and 11 additional) for adolescent health measurement across six domains: policies, programs, and laws (4 indicators); systems performance and interventions (4); health determinants (7); health behaviors and risks (20); subjective well-being (2); and health outcomes and conditions (10). DISCUSSION: These indicators are the result of a robust and structured five-year process to identify a priority set of indicators with relevance to adolescent health globally. This inclusive and participatory approach incorporated inputs from a broad range of stakeholders, including adolescents and young people themselves. The GAMA-recommended indicators are now ready to be used to measure adolescent health at the country, regional, and global levels.

Relevance of the Sustainable Development Goals (SDGs) to Adolescent Health Measurement: A Systematic Mapping of the SDG Framework and Global Adolescent Health Indicators.

PURPOSE: To assess the relevance of the Sustainable Development Goals (SDGs) framework for adolescent health measurement, both in terms of age disaggregation and different health domains captured, and how the adolescent health indicators recommended by the Global Action for Measurement of Adolescent Health (GAMA) can complement the SDG framework. METHODS: We conducted a desk review to systematically map all 248 SDG indicators using the UN metadata repository in three steps: 1) age-related mandates for SDG reporting; 2) linkages between the SDG indicators and priority areas for adolescent health measurement; 3) comparison between the GAMA indicators and the SDG framework. RESULTS: Of the 248 SDG indicators, 35 (14%) targeted an age range overlapping with adolescence (10-19 years) and 33 (13%) called for age disaggregation. Only one indicator (3.7.2 "adolescent birth rate") covered the entire 10-19 age range. Almost half (41%) of the SDG indicators were directly related to adolescent health, but only 33 of those (13% of all SDG indicators) overlapped with the ages 10-19, and 15 (6% of all SDG indicators) explicitly mandated age disaggregation. Among the 47 GAMA indicators, five corresponded to existing SDG indicators, and eight were adolescent-specific age adaptations. Several GAMA indicators shed light on aspects not tracked in the SDG framework, such as obesity, mental health, physical activity, and bullying among 10-19-year-olds. DISCUSSION: Adolescent health cannot be monitored comprehensively with the SDG framework alone. The GAMA indicators complement this framework via age-disaggregated adaptations and by tracking aspects of adolescent health currently absent from the SDGs.

Exploring a Preliminary Set of Indicators to Measure Adolescent Health: Results From a 12-Country Feasibility Study.

PURPOSE: To explore data availability, perceived relevance, acceptability and feasibility of implementing 52 draft indicators for adolescent health measurement in different countries globally. METHODS: A mixed-methods, sequential explanatory study was conducted in 12 countries. An online spreadsheet was used to assess data availability and a stakeholder survey to assess perceived relevance, acceptability, and feasibility of implementing each draft indicator proposed by the Global Action for Measurement of Adolescent health (GAMA). The assessments were discussed in virtual meetings with all countries and in deep dives with three countries. Findings were synthesized using descriptive statistics and qualitative thematic analysis. RESULTS: Data availability varied across the 52 draft GAMA indicators and across countries. Nine countries reported measuring over half of the indicators. Most indicators were rated relevant by stakeholders, while some were considered less acceptable and feasible. The ten lowest-ranking indicators were related to mental health, sexual health and substance use; the highest-ranking indicators centered on broader adolescent health issues, like use of health services. Indicators with higher data availability and alignment with national priorities were generally considered most relevant, acceptable and feasible. Barriers to measurement included legal, ethical and sensitivity issues, challenges with multi-sectoral coordination and data systems flexibility. DISCUSSION: Most of the draft GAMA indicators were deemed relevant and feasible, but contextual priorities and perceived acceptability influenced their implementation in countries. To increase their use for a more comprehensive understanding of adolescent health, better multi-sectoral coordination and tailored capacity building to accommodate the diverse data systems in countries will be required.

Challenges and Opportunities to Advance Adolescent Health Measurement in Armenia: Alignment Between Global Priority Indicators and National Policies, and Feasibility of Collecting Sexual, Reproductive, and Mental Health Indicators.

PURPOSE: To assess alignment of the Global Action for Measurement of Adolescent health (GAMA) draft adolescent health indicators with national policies and explore challenges and opportunities for collecting data on adolescent sexual, reproductive, and mental health in Armenia. METHODS: We reviewed Armenia's national laws, decrees, policies, strategies, and programs for content related to the draft indicators. We conducted three focus group discussions with government and nongovernmental stakeholders and youth representatives on the feasibility of collecting the draft indicators, and analyzed the discussion segments related to sexual, reproductive, and mental health indicators. RESULTS: The policy review included 22 documents. Armenia's national laws, policies, strategies, orders, and decrees mention a range of tracking and monitoring activities in adolescent health, and many draft GAMA indicators are already incorporated into national statistics and are collected in ongoing surveys. However, policies and strategies often lack specificity around how to measure and report indicators. Sexual, reproductive, and mental health indicators were particularly sensitive to collect due to Armenian cultural norms and expectations, especially for younger adolescents under the age of 15 years. DISCUSSION: Guidance should be developed to facilitate the formulation of relevant policies with well-defined indicators and complete tracking and reporting information. Data collection should be further harmonized within the overall health information flow to avoid data overlap. While sensitization work and interviewer training can help address some issues around collecting data on sexual, reproductive, and mental health, it may be necessary to adapt certain indicators to be culturally acceptable in Armenia, such as by limiting the age range to above 15 years for highly sensitive indicators.

Towards Harmonized Adolescent Health Measurement: Assessing Alignment Between Current Recommendations and the Global Action for Measurement of Adolescent Health-Recommended Indicators.

PURPOSE: This study identified alignment of indicators across different initiatives and data collection instruments as a foundation for future harmonization of adolescent health measurement. METHODS: Using the Global Action for Measurement of Adolescent health (GAMA) recommended indicators as the basis for comparison, we conducted a desk review of 14 global-level initiatives, such as the Sustainable Development Goals and the Global Strategy for Women's, Children's and Adolescents' Health, and five multicountry survey programs, such as the Multiple Indicator Cluster Surveys and the Global school-based Student Health Survey. We identified initiative and survey indicators similar to a GAMA indicator, deconstructed indicators into standard elements to facilitate comparison, and assessed alignment to the corresponding GAMA indicator across each of the elements. RESULTS: A total of 144 initiative indicators and 90 survey indicators were identified. Twenty-four initiative indicators (17%) and 14 survey indicators (16%) matched the corresponding GAMA indicators across all elements. Population of interest was the most commonly discrepant element; whereas GAMA indicators mostly refer to ages 10-19, many survey and initiative indicators encompass only part of this age range, for example, 15-19-year-olds as a subset of adults ages 15-49 years. An additional 53 initiative indicators (39%) and 44 survey indicators (49%) matched on all elements except the population of interest. DISCUSSION: The current adolescent measurement landscape is inconsistent, with differing recommendations on what and how to measure. Findings from this study support efforts to promote indicator alignment and harmonization across adolescent health measurement stakeholders at the global, regional, and country levels.

Health status in selected post-communist European countries: a comparative study between Poland and Albania.

OBJECTIVES: The aim of this analysis was to compare selected health status indicators of the Albanian and Polish populations, pertinent to two former communist countries in Central and Eastern Europe (CEE). METHODS: This analysis was based on the estimates related to the Global Burden of Disease (GBD) 2019 study, reported by the Institute for Health Metrics and Evaluation (IHME). For Poland, IHME uses data mainly from the Central Statistical Office of Poland, whereas for Albania the information is based on the reports from the National Institute of Statistics. RESULTS: In 2019, life expectancy at birth was slightly higher in Albania compared to Poland (78.5 years vs. 78.1 years, respectively). Mortality rate from noncommunicable diseases was similar in both countries (about 520 deaths per 100,000 population). In 2019, the main risk factor for the overall mortality in both countries was the high systolic blood pressure. In Albania, high systolic blood pressure accounted for almost 32% of deaths from all causes, whereas in Poland it accounted for only 21% of all deaths. The second main risk factor in Albania concerned the dietary factors which were responsible for almost one in four deaths. In Poland, the second main risk factor for all-cause mortality concerned tobacco which was responsible for one in five deaths. The third leading risk factor in Albania was tobacco (responsible for one in five deaths), whereas in Poland it concerned the dietary risks (responsible for about 19% of the all-cause mortality). CONCLUSIONS: This analysis provides useful information about the current health status of two populations pertinent to the former Communist Bloc in CEE. While health indicators can provide important information about the differences in health status between populations, it is important to interpret these indicators in the context of the specific challenges and limitations facing each country.

The interplay between climate change and ageing: A systematic review of health indicators.

Climate change and rapid population ageing pose challenges for communities and public policies. This systematic review aims to gather data from studies that present health indicators establishing the connection between climate change and the physical and mental health of the older population (≥ 65 years), who experience a heightened vulnerability to the impacts of climate change when compared to other age cohorts. This review was conducted according to the PICO strategy and following Cochrane and PRISMA guidelines. Three databases (PubMed, Scopus and Greenfile) were searched for articles from 2015 to 2022. After applying inclusion and exclusion criteria,nineteen studies were included. The findings indicated that various climate change phenomena are associated with an elevated risk of mortality and morbidity outcomes in older adults. These included cardiovascular, respiratory, renal, and mental diseases, along with physical injuries. Notably, the impact of climate change was influenced by gender, socioeconomic status, education level, and age-vulnerability factors. Climate change directly affected the health of older adults through ambient temperature variability, extreme and abnormal temperatures, strong winds, sea temperature variability, extreme El Niño-southern Oscillation (ENSO) conditions and droughts, and indirectly by air pollution resulting from wildfires. This review presents further evidence confirming that climate change significantly impacts the health and well-being of older adults. It highlights the urgency for implementing effective strategies to facilitate adaptation and mitigation, enhancing the overall quality of life for all individuals.

Sustainable Development Goals' health-related indicators for Brazil and Ecuador: an analysis for the period of 1990-2019.

OBJECTIVE: This article aims to analyse the evolution of 40 Sustainable Development Goals' (SDGs) health-related indicators in Brazil and Ecuador from 1990 to 2019. STUDY DESIGN: Epidemiological study of long-term trends in 40 SDGs' health-related indicators for Brazil and Ecuador from 1990 to 2019, using estimates from the Global Burden of Disease Study. METHODS: Forty SDGs' health-related indicators and an index from 1990 to 2017 for Brazil and Ecuador, and their projections up to 2030 were extracted from the Institute for Health Metrics and Evaluation's Global Burden of Disease website and analysed. The percent annual change (PC) between 1990 and 2019 was calculated for both countries. RESULTS: Both countries have made progress on child stunting (Brazil: PC = -38%; Ecuador: PC = -43%) and child wasting prevalences (Brazil: PC = -42%; Ecuador: PC = -41%), percent of vaccine coverage (Brazil: PC = +215%; Ecuador: PC = +175%), under-5 (Brazil: PC = -75%; Ecuador: PC = -60%) and neonatal mortality rates (Brazil: PC = -69%; Ecuador: PC = -51%), health worker density per 1000 population (Brazil: PC = +153%; Ecuador: PC = +175%), reduction of neglected diseases prevalences (Brazil: PC = -40%; Ecuador: PC = -58%), tuberculosis (Brazil: PC = -27%; Ecuador: PC = -55%) and malaria incidences (Brazil: PC = -97%; Ecuador: PC = -100%), water, sanitation and hygiene mortality rates (Brazil and Ecuador: PC = -89%). However, both countries did not show sufficient improvement in maternal mortality ratio to meet SDGs targets (Brazil: PC = -37%; Ecuador: PC = -40%). Worsening of indicators were found for violence, such as non-intimate partner violence for both countries (Brazil: PC = +26%; Ecuador: PC = +18%) and suicide mortality rate for Ecuador (PC = +66%), child overweight indicator for Brazil (PC = -67%), disaster mortality rates (Brazil: PC = +100%; Ecuador: PC = +325%) and alcohol consumption (Brazil: PC = +46%; Ecuador: PC = +35%). CONCLUSIONS: Significant improvements are necessary in both countries requiring the strengthening of health and other policies, particularly concerning the prevention and management of violence and alcohol consumption, and preparedness for dealing with environmental disasters.

[Healthy life expectancy: a critical look at the benefits and potential of the demographic health indicator]. / Gesunde Lebenserwartung: Ein kritischer Blick auf Nutzen und Potenziale des demographischen Gesundheitsindikators.

Demographic ageing yields many societal consequences that depend strongly on the health status of the population. Special indicators have been developed for tracking and assessing population health, which are referred to with the overarching term healthy life expectancy (HLE). The derivation of HLE is intuitive and easily comprehensible. However, an overly simplistic interpretation hides the extreme complexity inherent in adding the health dimension to the life table. This makes HLE compared to classic life expectancy (LE) extremely sensitive to certain conceptual and methodological features. In the article, this is presented in more detail for three aspects: the underlying definition of health, the choice of survey data as a basis for estimating health status, and the reporting behavior of survey participants. It is shown that the impact on HLE can be enormous, leading to considerable bias in the interpretation of levels and trends, but also in the analysis of differences between populations. Nevertheless, the extension of classical LE to HLE is an important achievement that must not be abandoned. Therefore, the article also discusses ways in which the HLE indicator could be made more robust and reliable. Until this is achieved, however, the high methodological sensitivity of HLE must not be ignored if it is used to assess the health status of populations and as a basis for health policy measures.

Association Between Life's Essential 8 Cardiovascular Health Metrics With Cardiovascular Events in the Cardiovascular Disease Lifetime Risk Pooling Project.

BACKGROUND: The American Heart Association recently launched updated cardiovascular health metrics, termed Life's Essential 8 (LE8). Compared with Life's Simple 7 (LS7), the new approach added sleep health as an eighth metric and updated the remaining 7 health factors and behaviors. The association of the updated LE8 score with long-term cardiovascular disease (CVD) outcomes and death is unknown. METHODS: We pooled individual-level data from 6 contemporary US-based cohorts from the Cardiovascular Lifetime Risk Pooling Project. Total LE8 score (0-100 points), LE8 score without sleep (0-100 points), and prior LS7 scores (0-14 points) were calculated separately. We used multivariable-adjusted Cox models to evaluate the association of LE8 with CVD, CVD subtypes, and all-cause mortality among younger, middle, and older adult participants. Net reclassification improvement analysis was used to measure the improvement in CVD risk classification with the addition of LS7 and LE8 recategorization based on score quartile rankings. RESULTS: Our sample consisted of 32 896 US adults (7836 [23.8%] Black; 14 941 [45.4%] men) followed for 642 000 person-years, of whom 9391 developed CVD events. Each 10-point higher overall LE8 score was associated with lower risk by 22% to 40% for CVD, 24% to 43% for congenital heart disease, 17% to 34% for stroke, 23% to 38% for heart failure, and 17% to 21% for all causes of mortality events across age strata. LE8 score provided more granular differentiation of the related CVD risk than LS7. Overall, 19.5% and 15.5% of the study participants were recategorized upward and downward based on LE8 versus LS7 categories, respectively, and the recategorization was significantly associated with CVD risk in addition to LS7 score. The addition of recategorization between LE8 and LS7 categories improved CVD risk reclassification across age groups (clinical net reclassification improvement, 0.06-0.12; P<0.01). CONCLUSIONS: These findings support the improved utility of the LE8 algorithm for assessing overall cardiovascular health and future CVD risk.

Predictive value of the Global Activity Limitation Indicator (GALI) on all-cause mortality.

OBJECTIVES: The Global Activity Limitation Indicator (GALI) is an instrument that measures long-term overall disability. The objective of this study was to evaluate GALI's predictive value on mortality while examining variations according to sex, age, and educational level. STUDY DESIGN: Longitudinal study. METHODS: This longitudinal study was based on 42,991 individuals aged ≥15 years who participated in the 2011-2012 National Health Survey and the 2014 European Health Survey in Spain. These records were linked to mortality data up to December 2021. GALI assessed self-reported functional limitation in the past 6 months and classified individuals into three categories: severely limited, limited but not severely, and not limited. Incidence rate ratios (IRR) were calculated using Poisson regression models, adjusting for sociodemographic, lifestyle, and health status variables. RESULTS: Compared to individuals with no limitations, those with non-severe limitations had an IRR for mortality of 1.27 (95% CI: 1.16-1.38), and 2.04 (95% CI: 1.81-2.31) in those with severe limitations. Women with severe limitations exhibited a higher IRR (2.32; 95% CI: 1.98-2.71) compared to men (1.73; 95% CI: 1.45-2.08) (P for interaction = 0.005). Individuals <65 years with severe limitations showed a greater association (2.22; 95% CI: 1.58-3.10) than those ≥65 (1.49; 95% CI: 1.32-1.69) (P for interaction <0.001). Among individuals with lower educational attainment, the IRR was 2.08 (95% CI: 1.83-2.37), and 1.87 (95% CI: 1.37-2.56) for the higher education group (P for interaction = 0.017). CONCLUSIONS: GALI is a robust predictor of all-cause mortality in the general population and subgroups. The association is stronger in women, individuals <65 years, and those with lower educational levels.

Factores asociados al rendimiento académico de los adolescentes de La rioja (España): hábitos de vida, indicadores de salud y factores sociodemográficos / Factors associated with academic performance in adolescents from La Rioja (Spain): lifestyle habits, health indicators, and sociodemographic factors

Introducción: el rendimiento académico está influenciado por numerosos factores, algunos de índole personal y otros contextuales, que, además, poseen una estrecha relación con la salud de los estudiantes. Por ello, el objetivo del estudio fue analizar la relación e influencia de los hábitos de vida, diversos indicadores de salud física y psicosocial, y variables sociodemográficas sobre dicho rendimiento. Método: el estudio se llevó a cabo sobre una muestra de 761 estudiantes (14,51 ± 1,63 años) de 25 centros educativos de una región del norte de España. Se valoró el rendimiento académico, así como la calidad de vida relacionada con la salud, la autoestima, la adherencia a la dieta mediterránea, las horas de sueño nocturno, el nivel de actividad física, el entorno para la práctica de dicha actividad física, la participación en actividades deportivas extraescolares, el consumo máximo de oxígeno, el índice de masa corporal y diversos factores sociodemográficos. Resultados: ser chico, tener origen migrante y poseer un nivel socioeconómico bajo/medio, una capacidad cardiorrespiratoria en zona de riesgo, una menor adherencia a la dieta mediterránea e índices más bajos de calidad de vida relacionada con la salud resultaron asociarse a un menor rendimiento académico, llegando a explicar hasta el 14 % de su varianza según el análisis de regresión. Igualmente, los adolescentes con mayor autoestima, menor índice de masa corporal, las chicas, aquellos que residían en un entorno favorable para la práctica física, los que realizaban actividad física extraescolar y los que presentaban mayor número de horas de sueño nocturno, mostraron mayores índices de rendimiento académico. Conclusiones: las intervenciones dirigidas a combatir el fracaso escolar deberían tener en cuenta los factores asociados citados, haciendo especial hincapié en los grupos más vulnerables como los chicos, aquellos con menor nivel socioeconómico y los que siguen unos hábitos de vida no saludables.(AU)

Introduction: academic performance is influenced by numerous factors, some personal and others contextual in nature, which also have a closerelationship with the health of students. Therefore, the aim of this study was to analyze the relationship and influence of lifestyle habits, variousphysical and psychosocial health indicators, and sociodemographic variables on academic performance.Method: the study was carried out on a sample of 761 students (14.51 ± 1.63 years old) from 25 educational centers in a region of northernSpain. Academic performance was assessed, as well as health-related quality of life, self-esteem, adherence to the Mediterranean diet, hoursof nocturnal sleep, level of physical activity, environment for the practice of physical activity, participation in extra-curricular sports activities,maximum oxygen consumption, body mass index, and various sociodemographic factors.Results: being male, having immigrant origins, as well as having a low/medium socioeconomic level, a cardiorespiratory capacity in the risk zone,lower adherence to the Mediterranean diet, and lower health-related quality of life indices were associated with lower academic performance,explaining up to 14 % of its variance according to the regression analysis. Likewise, adolescents with higher self-esteem, lower body mass index,females, those who lived in a favorable environment for physical activity practice, engaged in extra-curricular physical activity, and had a highernumber of hours of nocturnal sleep showed higher levels of academic performance.Conclusions: interventions aimed at combating academic failure should take into account the aforementioned associated factors, with specialemphasis on the most vulnerable groups such as males, those with lower socioeconomic status, and those who follow unhealthy lifestyle habits.(AU)

Association between the ZJU index and risk of new-onset non-alcoholic fatty liver disease in non-obese participants: a Chinese longitudinal prospective cohort study.

Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly observed in non-obese individuals. The ZJU (Zhejiang University) index has been established as a new and efficient tool for detecting NAFLD, but the relationship between the ZJU index and NAFLD within non-obese individuals still remains unclear. Methods: A post-hoc evaluation was undertaken using data from a health assessment database by the Wenzhou Medical Center. The participants were divided into four groups based on the quartile of the ZJU Index. Cox proportional hazards regression, Kaplan-Meier analysis and tests for linear trends were used to evaluate the relationship between the ZJU index and NAFLD incidence. Subgroup analysis was conducted to test the consistency of the correlation between ZJU and NAFLD in subsgroups. Receiver operative characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the ZJU index, compared with the Atherogenic index of plasma (AIP) and Remnant lipoprotein cholesterol (RLP-C) index. Results: A total of 12,127 were included in this study, and 2,147 participants (17.7%) developed NAFLD in 5 years follow-up. Participants in higher ZJU quartiles tended to be female and have higher liver enzymes (including ALP, GGT, ALT, AST), GLU, TC, TG, LDL and higher NAFLD risk. Hazard Ratios (HR) and 95% confidence intervals (CI) for new-onset NAFLD in Q2, Q3, and Q4 were 3.67(2.43 to 5.55), 9.82(6.67 to 14.45), and 21.67(14.82 to 31.69) respectively in the fully adjusted model 3. With increased ZJU index, the cumulative new-onset NAFLD gradually increased. Significant linear associations were observed between the ZJU index and new-onset NAFLD (p for trend all<0.001). In the subgroup analysis, we noted a significant interaction in sex, with HRs of 3.27 (2.81, 3.80) in female and 2.41 (2.21, 2.63) in male (P for interaction<0.01). The ZJU index outperformed other indices with an area under the curve (AUC) of 0.823, followed by AIP (AUC=0.747) and RLP-C (AUC=0.668). Conclusion: The ZJU index emerges as a promising tool for predicting NAFLD risk in non-obese individuals, outperforming other existing parameters including AIP and RLP-C. This could potentially aid in early detection and intervention in this specific demographic.

Comprehensive Evaluation of the Ability of Comorbidity and Health Status Indices to Improve the Prediction of Perioperative Morbidity and Long-Term Survival Outcomes After Radical Cystectomy.

BACKGROUND: In the era of standardized outcome reporting, it remains unclear if widely used comorbidity and health status indices can enhance predictive accuracy for morbidity and long-term survival outcomes after radical cystectomy (RC). PATIENTS AND METHODS: In this monocentric study, we included 468 patients undergoing open RC with pelvic lymph node dissection for bladder cancer between January 2009 and December 2017. Postoperative complications were meticulously assessed according to the EAU guideline criteria for standardized outcome reporting. Multivariable regression models were fitted to evaluate the ability of ASA physical status (ASA PS), Charlson comorbidity index (± age-adjustment) and the combination of both to improve prediction of (A) 30-day morbidity key estimates (major complications, readmission, and cumulative morbidity as measured by the Comprehensive Complication index [CCI]) and (B) secondary mortality endpoints (overall [OM], cancer-specific [CSM], and other-cause mortality [OCM]). RESULTS: Overall, 465 (99%) and 52 (11%) patients experienced 30-day complications and major complications (Clavien-Dindo grade ≥IIIb), respectively. Thirty-seven (7.9%) were readmitted within 30 days after discharge. Comorbidity and health status indices did not improve the predictive accuracy for 30-day major complications and 30-day readmission of a reference model but were associated with 30-day CCI (all P < .05). When ASA PS and age-adjusted Charlson index were combined, ASA PS was no longer associated with 30-day CCI (P = .1). At a median follow-up of 56 months (IQR 37-86), OM, CSM, and 90-day mortality were 37%, 24%, and 2.9%, respectively. Both Charlson and age-adjusted Charlson index accurately predicted OCM (all P < .001) and OM (all P ≤ .002) but not CSM (all P ≥ .4) and 90-day mortality (all P > .05). ASA PS was not associated with oncologic outcomes (all P ≥ .05). CONCLUSION: While comorbidity and health status indices have a role in predicting OCM and OM after RC, their importance in predicting postoperative morbidity is limited. Especially ASA PS performed poorly. This highlights the need for procedure-specific comorbidity assessment rather than generic indices.

COVID-19 and EQ-5D-5L health state valuation.

BACKGROUND: We investigate whether and how general population health state values were influenced by the initial stages of the COVID-19 pandemic. Changes could have important implications, as general population values are used in health resource allocation. DATA: In Spring 2020, participants in a UK general population survey rated 2 EQ-5D-5L states, 11111 and 55555, as well as dead, using a visual analogue scale (VAS) from 100 = best imaginable health to 0 = worst imaginable health. Participants answered questions about their pandemic experiences, including COVID-19's effect on their health and quality of life, and their subjective risk/worry about infection. ANALYSIS: VAS ratings for 55555 were transformed to the full health = 1, dead = 0 scale. Tobit models were used to analyse VAS responses, as well as multinomial propensity score matching (MNPS) to create samples balanced according to participant characteristics. RESULTS: Of 3021 respondents, 2599 were used for analysis. There were statistically significant, but complex associations between experiences of COVID-19 and VAS ratings. For example, in the MNPS analysis, greater subjective risk of infection implied higher VAS ratings for dead, yet worry about infection implied lower ratings. In the Tobit analysis, people whose health was affected by COVID-19 rated 55555 higher, whether the effect on health was positive or negative. CONCLUSION: The results complement previous findings that the onset of the COVID-19 pandemic may have impacted EQ-5D-5L health state valuation, and different aspects of the pandemic had different effects.