Estimating Global Friction Periods for Economic Evaluation: A Case Study of Selected OECD Member Countries.

BACKGROUND: The friction cost approach (FCA) offers an alternative to the dominant human capital approach to value productivity losses. Application of the FCA in practice is limited largely due to data availability. Recent attempts have tried to standardise the estimation of friction periods across Europe, but to date, this has not been attempted elsewhere. Our aim was to estimate friction periods for 17 Organisation for Economic Co-operation and Development (OECD) member countries between 2010 and 2021 based on routinely published data. METHODS: We derived friction period estimates for Australia, Austria, Canada, Czechia, Finland, Germany, Hungary, Japan, Korea, Luxembourg, Norway, Poland, Portugal, Sweden, Switzerland, the United Kingdom and the United States. Vacancy stock and flow data was sourced from the OECD's short-term labour situation database from 2010 to 2021, and included the impact of Covid-19 on the labour market. The estimated friction periods were applied to cost cancer-related premature mortality for the United States as an illustrative case. RESULTS: The average friction period in the five non-European countries (Australia, Canada, Korea, Japan and the United States) was 61.0 days (SD 9.4) (range between 44.8 days in Korea and 82.2 days in Canada) and the average friction period in the 12 European countries was 60.6 days (SD 14.8) (range between 34.1 days in Switzerland and 137.3 days in Czechia). In both cases, the outbreak of Covid-19 increased the length of the friction period. Our illustrative case revealed that productivity costs in the US were over a third lower using the study-specific friction period (56 days) compared with the conventionally assumed 90-day friction period applied in the literature as a default measure. CONCLUSIONS: Our results expand the potential application of the FCA outside of Europe and will support greater utilisation of the FCA and wider inclusion of productivity costs in societal-based economic evaluations based on the use of widely available and updated key labour market variables in our selected countries.

Characteristics and Outcomes of Over 300,000 Patients with COVID-19 and History of Cancer in the United States and Spain.

BACKGROUND: We described the demographics, cancer subtypes, comorbidities, and outcomes of patients with a history of cancer and coronavirus disease 2019 (COVID-19). Second, we compared patients hospitalized with COVID-19 to patients diagnosed with COVID-19 and patients hospitalized with influenza. METHODS: We conducted a cohort study using eight routinely collected health care databases from Spain and the United States, standardized to the Observational Medical Outcome Partnership common data model. Three cohorts of patients with a history of cancer were included: (i) diagnosed with COVID-19, (ii) hospitalized with COVID-19, and (iii) hospitalized with influenza in 2017 to 2018. Patients were followed from index date to 30 days or death. We reported demographics, cancer subtypes, comorbidities, and 30-day outcomes. RESULTS: We included 366,050 and 119,597 patients diagnosed and hospitalized with COVID-19, respectively. Prostate and breast cancers were the most frequent cancers (range: 5%-18% and 1%-14% in the diagnosed cohort, respectively). Hematologic malignancies were also frequent, with non-Hodgkin's lymphoma being among the five most common cancer subtypes in the diagnosed cohort. Overall, patients were aged above 65 years and had multiple comorbidities. Occurrence of death ranged from 2% to 14% and from 6% to 26% in the diagnosed and hospitalized COVID-19 cohorts, respectively. Patients hospitalized with influenza (n = 67,743) had a similar distribution of cancer subtypes, sex, age, and comorbidities but lower occurrence of adverse events. CONCLUSIONS: Patients with a history of cancer and COVID-19 had multiple comorbidities and a high occurrence of COVID-19-related events. Hematologic malignancies were frequent. IMPACT: This study provides epidemiologic characteristics that can inform clinical care and etiologic studies.

Are patients with cancer at higher risk of COVID-19-related death? A systematic review and critical appraisal of the early evidence.

BACKGROUND: Early reports suggested that COVID-19 patients with cancer were at higher risk of COVID-19-related death. We conducted a systematic review with risk of bias assessment and synthesis of the early evidence on the risk of COVID-19-related death for COVID-19 patients with and without cancer. METHODS AND FINDINGS: We searched Medline/Embase/BioRxiv/MedRxiv/SSRN databases to 1 July 2020. We included cohort or case-control studies published in English that reported on the risk of dying after developing COVID-19 for people with a pre-existing diagnosis of any cancer, lung cancer, or haematological cancers. We assessed risk of bias using tools adapted from the Newcastle-Ottawa Scale. We used the generic inverse-variance random-effects method for meta-analysis. Pooled odds ratios (ORs) and hazard ratios (HRs) were calculated separately. Of 96 included studies, 54 had sufficient non-overlapping data to be included in meta-analyses (>500,000 people with COVID-19, >8000 with cancer; 52 studies of any cancer, three of lung and six of haematological cancers). All studies had high risk of bias. Accounting for at least age consistently led to lower estimated ORs and HRs for COVID-19-related death in cancer patients (e.g. any cancer versus no cancer; six studies, unadjusted OR=3.30,95%CI:2.59-4.20, adjusted OR=1.37,95%CI:1.16-1.61). Adjusted effect estimates were not reported for people with lung or haematological cancers. Of 18 studies that adjusted for at least age, 17 reported positive associations between pre-existing cancer diagnosis and COVID-19-related death (e.g. any cancer versus no cancer; nine studies, adjusted OR=1.66,95%CI:1.33-2.08; five studies, adjusted HR=1.19,95%CI:1.02-1.38). CONCLUSIONS: The initial evidence (published to 1 July 2020) on COVID-19-related death in people with cancer is characterised by multiple sources of bias and substantial overlap between data included in different studies. Pooled analyses of non-overlapping early data with adjustment for at least age indicated a significantly increased risk of COVID-19-related death for those with a pre-existing cancer diagnosis.

The risk of contracting SARS-CoV-2 or developing COVID-19 for people with cancer: A systematic review of the early evidence.

BACKGROUND: The early COVID-19 literature suggested that people with cancer may be more likely to be infected with SARS-CoV-2 or develop COVID-19 than people without cancer, due to increased health services contact and/or immunocompromise. While some studies were criticised due to small patient numbers and methodological limitations, they created or reinforced concerns of clinicians and people with cancer. These risks are also important in COVID-19 vaccine prioritisation decisions. We performed a systematic review to critically assess and summarise the early literature. METHODS AND FINDINGS: We conducted a systematic search of Medline/Embase/BioRxiv/MedRxiv/SSRN databases including peer-reviewed journal articles, letters/commentaries, and non-peer-reviewed pre-print articles for 1 January-1 July 2020. The primary endpoints were diagnosis of COVID-19 and positive SARS-CoV-2 test. We assessed risk of bias using a tool adapted from the Newcastle-Ottawa Scale. Twelve studies were included in the quantitative synthesis. All four studies of COVID-19 incidence (including 24,181,727 individuals, 125,649 with pre-existing cancer) reported that people with cancer had higher COVID-19 incidence rates. Eight studies reported SARS-CoV-2 test positivity for > 472,000 individuals, 48,370 with pre-existing cancer. Seven of these studies comparing people with any and without cancer, were pooled using random effects [pooled odds ratio 0.91, 95 %CI: 0.57-1.47; unadjusted for age, sex, or comorbidities]. Two studies suggested people with active or haematological cancer had lower risk of a positive test. All 12 studies had high risk of bias; none included universal or random COVID-19/SARS-CoV-2 testing. CONCLUSIONS: The early literature on susceptibility to SARS-CoV-2/COVID-19 for people with cancer is characterised by pervasive biases and limited data. To provide high-quality evidence to inform decision-making, studies of risk of SARS-CoV-2/COVID-19 for people with cancer should control for other potential modifiers of infection risk, including age, sex, comorbidities, exposure to the virus, protective measures taken, and vaccination, in addition to stratifying analyses by cancer type, stage at diagnosis, and treatment received.

Cancer incidence and mortality in Australia from 2020 to 2044 and an exploratory analysis of the potential effect of treatment delays during the COVID-19 pandemic: a statistical modelling study.

BACKGROUND: Long-term projections of cancer incidence and mortality estimate the future burden of cancer in a population, and can be of great use in informing the planning of health services and the management of resources. We aimed to estimate incidence and mortality rates and numbers of new cases and deaths up until 2044 for all cancers combined and for 21 individual cancer types in Australia. We also illustrate the potential effect of treatment delays due to the COVID-19 pandemic on future colorectal cancer mortality rates. METHODS: In this statistical modelling study, cancer incidence and mortality rates in Australia from 2020 to 2044 were projected based on data up to 2017 and 2019, respectively. Cigarette smoking exposure (1945-2019), participation rates in the breast cancer screening programme (1996-2019), and prostate-specific antigen testing rates (1994-2020) were included where relevant. The baseline projection model using an age-period-cohort model or generalised linear model for each cancer type was selected based on model fit statistics and validation with pre-COVID-19 observed data. To assess the impact of treatment delays during the COVID-19 pandemic on colorectal cancer mortality, we obtained data on incidence, survival, prevalence, and cancer treatment for colorectal cancer from different authorities. The relative risks of death due to system-caused treatment delays were derived from a published systematic review. Numbers of excess colorectal cancer deaths were estimated using the relative risk of death per week of treatment delay and different durations of delay under a number of hypothetical scenarios. FINDINGS: Projections indicate that in the absence of the COVID-19 pandemic effects, the age-standardised incidence rate for all cancers combined for males would decline over 2020-44, and for females the incidence rate would be relatively stable in Australia. The mortality rates for all cancers combined for both males and females are expected to continuously decline during 2020-44. The total number of new cases are projected to increase by 47·4% (95% uncertainty interval [UI] 35·2-61·3) for males, from 380 306 in 2015-19 to 560 744 (95% UI 514 244-613 356) in 2040-44, and by 54·4% (95% UI 40·2-70·5) for females, from 313 263 in 2015-19 to 483 527 (95% UI 439 069-534 090) in 2040-44. The number of cancer deaths are projected to increase by 36·4% (95% UI 15·3-63·9) for males, from 132 440 in 2015-19 to 180 663 (95% UI 152 719-217 126) in 2040-44, and by 36·6% (95% UI 15·8-64·1) for females, from 102 103 in 2015-19 to 139 482 (95% UI 118 186-167 527) in 2040-44, due to population ageing and growth. The example COVID-19 pandemic scenario of a 6-month health-care system disruption with 16-week treatment delays for colorectal cancer patients could result in 460 (95% UI 338-595) additional deaths and 437 (95% UI 314-570) deaths occurring earlier than expected in 2020-44. INTERPRETATION: These projections can inform health service planning for cancer care and treatment in Australia. Despite the continuous decline in cancer mortality rates, and the decline or plateau in incidence rates, our projections suggest an overall 51% increase in the number of new cancer cases and a 36% increase in the number of cancer deaths over the 25-year projection period. This means that continued efforts to increase screening uptake and to control risk factors, including smoking exposure, obesity, physical inactivity, alcohol use, and infections, must remain public health priorities. FUNDING: Partly funded by Cancer Council Australia.

Tobacco smoking changes during the first pre-vaccination phases of the COVID-19 pandemic: A systematic review and meta-analysis.

Background: Globally, tobacco smoking remains the largest preventable cause of premature death. The COVID-19 pandemic has forced nations to take unprecedented measures, including 'lockdowns' that might impact tobacco smoking behaviour. We performed a systematic review and meta-analyses to assess smoking behaviour changes during the early pre-vaccination phases of the COVID-19 pandemic in 2020. Methods: We searched Medline/Embase/PsycINFO/BioRxiv/MedRxiv/SSRN databases (January-November 2020) for published and pre-print articles that reported specific smoking behaviour changes or intentions after the onset of the COVID-19 pandemic. We used random-effects models to pool prevalence ratios comparing the prevalence of smoking during and before the pandemic, and the prevalence of smoking behaviour changes during the pandemic. The PROSPERO registration number for this systematic review was CRD42020206383. Findings: 31 studies were included in meta-analyses, with smoking data for 269,164 participants across 24 countries. The proportion of people smoking during the pandemic was lower than that before, with a pooled prevalence ratio of 0·87 (95%CI:0·79-0·97). Among people who smoke, 21% (95%CI:14-30%) smoked less, 27% (95%CI:22-32%) smoked more, 50% (95%CI:41%-58%) had unchanged smoking and 4% (95%CI:1-9%) reported quitting smoking. Among people who did not smoke, 2% (95%CI:1-3%) started smoking during the pandemic. Heterogeneity was high in all meta-analyses and so the pooled estimates should be interpreted with caution (I2 >91% and p-heterogeneity<0·001). Almost all studies were at high risk of bias due to use of non-representative samples, non-response bias, and utilisation of non-validated questions. Interpretation: Smoking behaviour changes during the first phases of the COVID-19 pandemic in 2020 were highly mixed. Meta-analyses indicated that there was a relative reduction in overall smoking prevalence during the pandemic, while similar proportions of people who smoke smoked more or smoked less, although heterogeneity was high. Implementation of evidence-based tobacco control policies and programs, including tobacco cessation services, have an important role in ensuring that the COVID-19 pandemic does not exacerbate the smoking pandemic and associated adverse health outcomes. Funding: No specific funding was received for this study.

Cancer and the risk of coronavirus disease 2019 diagnosis, hospitalisation and death: A population-based multistate cohort study including 4 618 377 adults in Catalonia, Spain.

The relationship between cancer and coronavirus disease 2019 (COVID-19) infection and severity remains poorly understood. We conducted a population-based cohort study between 1 March and 6 May 2020 describing the associations between cancer and risk of COVID-19 diagnosis, hospitalisation and COVID-19-related death. Data were obtained from the Information System for Research in Primary Care (SIDIAP) database, including primary care electronic health records from ~80% of the population in Catalonia, Spain. Cancer was defined as any primary invasive malignancy excluding non-melanoma skin cancer. We estimated adjusted hazard ratios (aHRs) for the risk of COVID-19 (outpatient) clinical diagnosis, hospitalisation (with or without a prior COVID-19 diagnosis) and COVID-19-related death using Cox proportional hazard regressions. Models were estimated for the overall cancer population and by years since cancer diagnosis (<1 year, 1-5 years and ≥5 years), sex, age and cancer type; and adjusted for age, sex, smoking status, deprivation and comorbidities. We included 4 618 377 adults, of which 260 667 (5.6%) had a history of cancer. A total of 98 951 individuals (5.5% with cancer) were diagnosed, and 6355 (16.4% with cancer) were directly hospitalised with COVID-19. Of those diagnosed, 6851 were subsequently hospitalised (10.7% with cancer), and 3227 died without being hospitalised (18.5% with cancer). Among those hospitalised, 1963 (22.5% with cancer) died. Cancer was associated with an increased risk of COVID-19 diagnosis (aHR: 1.08; 95% confidence interval [1.05-1.11]), direct COVID-19 hospitalisation (1.33 [1.24-1.43]) and death following hospitalisation (1.12 [1.01-1.25]). These associations were stronger for patients recently diagnosed with cancer, aged <70 years, and with haematological cancers. These patients should be prioritised in COVID-19 vaccination campaigns and continued non-pharmaceutical interventions.

Comparing cancer and cardiovascular disease trends in 20 middle- or high-income countries 2000-19: A pointer to national trajectories towards achieving Sustainable Development goal target 3.4.

With the 2030 Sustainable Development Goals (SDG) target of a one-third reduction in noncommunicable diseases (NCDs) less than a decade away, it is timely to assess national progress in reducing premature deaths from the two leading causes of mortality worldwide. We examine trends in the probability of dying ages 30-70 from cardiovascular disease (CVD) and cancer 2000-19 in 10 middle-income (MICs) and 10 high-income (HICs) countries with high quality data. We then predict whether the SDG target will be met in each country for CVD, cancer and for the four main NCDs combined. Downward trends were more evident in HICs relative to the MICs, and for CVD relative to cancer. CVD and cancer declines ranged from 30-60% and 20-30% in HICs over the 20-year period, but progress was less uniform among the MICs. Premature deaths from cancer exceeded CVD in nine of the 10 HICs by 2000 and in all 10 by 2019; in contrast, CVD mortality exceeded cancer in all 10 MICs in 2000 and remained the leading cause in eight countries by 2019. Two of the 10 MICs (Colombia and Kazakhstan) and seven of the HICs (Australia, Chile, Italy, New Zealand, Norway, Slovakia, and the U.K.) are predicted to meet the SDG NCDs target. Whether countries are on course to meet the target by 2030 reflects changing risk factor profiles and the extent to which effective preventative and medical care interventions have been implemented. In addition, lessons can be learned given people living with NCDs are more susceptible to severe COVID-19 illness and death.

Impact of the COVID-19 pandemic on population-based cancer registry.

The COVID-19 pandemic has caused disruptions to national health systems and impacted health outcomes worldwide. However, the extent to which surveillance systems, such as population-based cancer registration, have been affected was not reported. Here we sought to evaluate the effect of the pandemic on registry operations across different areas and development levels worldwide. We investigated the impact of COVID-19 on three main areas of cancer registry operations: staffing, financing and data collection. An online survey was administered to 750 member registries of the International Association for Cancer Registries. Among 212 responding registries from 90 countries, 65.6% reported a disruption in operations, ranging between 45% in south-eastern Asia and 87% in the Latin America and Caribbean. Active data collection was disrupted more than case notifications or hybrid methods. In countries categorized with low Human Development Index (HDI), a greater number of registries reported a negative impact (81.3%) than in very high HDI countries (57.8%). This contrast was highest in term of impact on financing: 9/16 (56%) registries in low HDI countries reported a current or an expected decline in funding, compared to 7/108 (7%) in very high HDI countries. With many cancer registries worldwide reporting disruption to their operations during the early COVID-19 pandemic, urgent actions are needed to ensure their continuity. Governmental commitment to support future registry operations as an asset to disease control, alongside a move toward electronic reporting systems will help to ensure the sustainability of cancer surveillance worldwide.

Impact of COVID-19 Pandemic on Cancer-Related Hospitalizations in Brazil.

BACKGROUND: Alongside the SARS-CoV-2 (COVID-19) pandemic, Brazil also faces an ongoing rise in cancer burden. In 2020, there were approximately 592 000 new cancer cases and 260 000 cancer deaths. Considering the heterogeneities across Brazil, this study aimed to estimate the impact of the COVID-19 pandemic on cancer-related hospital admissions at a national and regional level. METHODS: The national, regional, and state-specific monthly average of cancer-related hospital admission rates per 100 000 inhabitants and 95% confidence intervals (95% CIs) were calculated from March to July (2019: pre-COVID-19; and 2020: COVID-19 period). Thematic maps were constructed to compare the rates between periods and regions. RESULTS: Cancer-related hospital admissions were reduced by 26% and 28% for clinical and surgical purposes, respectively. In Brazil, the average hospitalization rates decreased from 13.9 in 2019 to 10.2 in 2020 per 100,000 inhabitants, representing a rate difference of -3.7 (per 100,000 inhabitants; 95% CI: -3.9 to -3.5) for cancer-related (clinical) hospital admissions. Surgical hospital admissions showed a rate decline of -5.8 per 100,000 (95% CI: -6.0 to -5.5). The reduction in cancer-related admissions for the surgical procedure varies across regions ranging between -2.2 and -10.8 per 100 000 inhabitants, with the most significant decrease observed in the south and southeastern Brazil. CONCLUSIONS: We observed a substantial decrease in cancer-related hospital admissions during the COVID-19 pandemic with marked differences across regions. Delays in treatment may negatively impact cancer survival in the future; hence, cancer control strategies to mitigate the impact are needed.