Exploring the dynamics of COVID-19 in a Greenlandic cohort: Mild acute illness and moderate risk of long COVID.

Objectives: This study aimed to explore how the Greenlandic population experienced the course of both acute and long-term COVID-19. It was motivated by the unique epidemiologic situation in Greenland, with delayed community transmission of SARS-CoV-2 relative to the rest of the world. Methods: In a survey among 310 Greenlandic adults, we assessed the association between previous SARS-CoV-2 infection and overall health outcomes by administering three repeated questionnaires over 12 months after infection, with a response rate of 41% at the 12-month follow-up. The study included 128 individuals with confirmed SARS-CoV-2 infection from January/February 2022 and 182 test-negative controls. Participants were recruited through personal approaches, phone calls, and social media platforms. Results: A total of 53.7% of 162 participants who were test-positive recovered within 4 weeks and 2.5% were hospitalized due to SARS-CoV-2. The most common symptoms were fatigue and signs of mild upper respiratory tract infection. Less than 5% reported sick leave above 2 weeks after infection. Compared with participants who were test-negative, there was an increased risk of reporting fatigue (risk differences 25.4%, 95% confidence interval 8.8-44.0) and mental exhaustion (risk differences 23.4%, 95% confidence interval 4.8-42.2) up to 12 months after a positive test. Conclusions: Our results indicate that during a period dominated by the Omicron variant, Greenlanders experienced a mild acute course of COVID-19, with quick recovery, minimizing the impact on sick leave. Long COVID may be present in Greenlanders, with symptoms persisting up to 12 months after infection. However, it is important to consider the small sample size and modest response rate as limitations when interpreting the results.

The Effect of Coordinating the Outpatient Treatment across Medical Specialities for Patients With Multimorbidity.

Introduction: Patients with multimorbidity attend multiple outpatient clinics. We assessed the effects on hospital use of scheduling several outpatient appointments to same-day visits in a multidisciplinary outpatient pathway (MOP). Methods: This study used a quasi-experimental design. Eligible patients had multimorbidity, were aged ≥18 years and attended ≥2 outpatient clinics in five different specialties. Patients were identified through forthcoming appointments from August 2018 to March 2020 and divided into intervention group (alignment of appointments) and comparison group (no alignment). We used patient questionnaires and paired analyses to study care integration and treatment burden. Using negative binomial regression, we estimated healthcare utilisation as incidence rates ratios (IRRs) at one year before and one year after baseline for both groups and compared IRR ratios (IRRRs). Results: Intervention patients had a 19% reduction in hospital visits (IRRR: 0.81, 95% CI: 0.70-0.96) and a 17% reduction in blood samples (IRRR: 0.83, 0.73-0.96) compared to comparison patients. No effects were found for care integration, treatment burden, outpatient contacts, terminated outpatient trajectories, hospital admissions, days of admission or GP contacts. Conclusion: The MOP seemed to reduce the number of hospital visits and blood samples. These results should be further investigated in studies exploring the coordination of outpatient care for multimorbidity. Research question: Can an intervention of coordinating outpatient appointments to same-day visits combined with a multidisciplinary conference influence the utilisation of healthcare services and the patient-assessed integration of healthcare services and treatment burden among patients with multimorbidity?

The path to cancer diagnosis for the elderly.

Older cancer patients are more often than younger diagnosed via an unplanned hospital admission which may negatively influence the prognosis. An increasing number of cancers is expected due to ageing of populations, and these phenomena are likely to result in an increase in older cancer patients with multiple complications, extended hospital stays, and reduced quality of life and survival. In this review, we present recent data about routes to cancer diagnosis for older vs younger patients to emphasize that diagnostic pathways need improvements to avoid an increase in unplanned hospital admissions due to cancer.

Workload and GP burnout: a survey and register-based study in Danish general practice.

BACKGROUND: Burnout is common among GPs. Previous studies have indicated an association between high workload and burnout among doctors. AIM: To assess the risk of burnout among single-handed GPs in Denmark in relation to self-reported and register-based workload. DESIGN & SETTING: Questionnaire data from 312 Danish single-handed GPs and register data on their patients and provided services. METHOD: Burnout was measured using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). A composite burnout score of quartile points was calculated. The questionnaire provided information on working hours. Register data included number of services and patient list size. Association between composite burnout score and workload was estimated with binomial regression analyses adjusting for the GP's age and sex, and social deprivation score of their patient lists. RESULTS: Working >5 days a week in practice increased the risk of a high burnout score (adjusted risk ratio [RR] = 2.34, 95% confidence interval [CI] = 1.62 to 3.37). Spending >7.5 hours a day on patient-related tasks increased the risk of a high burnout score. The highest score was among GPs spending 8.5-9.5 hours a day on patient-related tasks (adjusted RR = 2.01, 95% CI = 0.90 to 4.51), although not statistically significant. There was no association between number of services and risk of burnout. CONCLUSION: Working 5 days a week in practice significantly increased the risk of burnout in Danish single-handed GPs. Spending >7.5 hours a day on patient-related tasks tended to increase the risk. We found no association between a high number of services and increased risk of burnout.

Psychiatric disorders and the cancer diagnostic process in general practice: a combined questionnaire and register study exploring the patients' experiences in Denmark.

OBJECTIVE: Patients with psychiatric disorders are at risk of experiencing suboptimal cancer diagnostics and treatment. This study investigates how this patient group perceives the cancer diagnostic process in general practice. DESIGN: Cross-sectional study using questionnaire and register data. SETTING: General practice in Denmark. SUBJECTS: Patients diagnosed with cancer in late 2016 completed a questionnaire about their experiences with their general practitioner (GP) in the cancer diagnostic process (n = 3411). Information on pre-existing psychiatric disorders was obtained from register data on psychiatric hospital contacts and primary care treated psychiatric disorders through psychotropic medications. Logistic regression was used to analyse the association between psychiatric disorders and the patients' experiences. MAIN OUTCOME MEASURES: Patients' experiences, including cancer worry, feeling being taken seriously, and the perceived time between booking an appointment and the first GP consultation.[Box: see text]. RESULTS: A total of 13% of patients had an indication of a psychiatric disorder. This group more often perceived the time interval as too short between the first booking of a consultation and the first GP consultation. Patients with primary care treated psychiatric disorders were more likely to worry about cancer at the first presentation and to share this concern with their GP compared with patients without psychiatric disorders. We observed no statistically significant association between patients with psychiatric disorders and perceiving the waiting time to referral from general practice, being taken seriously, trust in the GP's abilities, and the patients' knowledge of the process following the GP referral. CONCLUSION: The patients' experiences with the cancer diagnostic process in general practice did not vary largely between patients with and without psychiatric disorders. Worrying about cancer may be a particular concern for patients with primary care treated psychiatric disorders.

It is unknown how patients with psychiatric disorders perceive the cancer diagnostic process in general practice.This study found an association between having a psychiatric disorder and more often perceiving the time interval as too short between the first booking of a consultation and the first GP consultation.An association was found between having a primary care treated psychiatric disorder and being worried about cancer and more often sharing these concerns with the GP.Experiences with the cancer diagnostic process in general practice did not differ between patients with a hospital treated psychiatric disorder and patients with no indication of psychiatric disorders.

Social health inequity and multimorbidity.

Social health inequity and multimorbidity are strongly associated. This review investigates how it is done through different and complex pathways of which the majority is outside the healthcare system. However, in modern healthcare systems, the increased investment in single, specialised diagnosis-oriented guideline-based treatment without additional primary care investments, may increase the inequity for those with lower social position and multimorbidity. Further, this may produce less return on investment, less patient satisfaction, and burden the highly specialised hospital care.

Healthcare use and fear of recurrence in adult cancer survivors at 2.5 years after a cancer diagnosis: a nationwide register study in Denmark.

PURPOSE: To investigate the association between fear of cancer recurrence (FCR) and healthcare use in general practice among cancer survivors. METHODS: We linked nationwide register data to survey data on FCR in cancer survivors at 2.5 years after a cancer diagnosis. Multiple regression models were used to analyse the association between high FCR level and quartiles of healthcare use at 18-30 months before the cancer diagnosis (habitual healthcare use) and between high FCR level and healthcare use at 18-30 months after the cancer diagnosis (survivorship healthcare use). RESULTS: We included 1538 cancer survivors in the study. High habitual healthcare use was associated with a high level of FCR (odds ratio = 2.07 (95% confidence interval (CI): 1.36-3.15)) for the 4th quartile of healthcare use compared to the 1st quartile. A high FCR score was also associated with higher healthcare use during cancer survivorship (incidence rate ratio (IRR) = 1.26 (95% CI: 1.14-1.40)). This association remained statistically significant when adjusting for habitual healthcare use (IRR = 1.20 (95% CI: 1.09-1.33)). CONCLUSION: High healthcare use before the cancer diagnosis was associated with high FCR during survivorship. This indicates that FCR is partly explained by a general (pre-diagnostic) health concern. High FCR predicted high healthcare use during cancer survivorship, even when adjusting for habitual healthcare use. IMPLICATIONS FOR CANCER SURVIVORS: Our results suggest that FCR in cancer survivors is triggered by a general high level of health concern, and the cancer diagnosis may further exacerbate this concern.

Results from the PRIMA Trial: Comparison of the STHLM3 Test and Prostate-specific Antigen in General Practice for Detection of Prostate Cancer in a Biopsy-naïve Population.

BACKGROUND: Current management of prostate cancer (PC) lacks biomarker tests and diagnostic procedures that can accurately distinguish clinically significant and clinically insignificant PCs at an early stage of the disease. OBJECTIVE: To compare the Stockholm 3 (STHLM3) test and prostate-specific antigen (PSA) as entry tests for magnetic resonance imaging (MRI) in a prospective study of PC diagnosis in general practice. DESIGN, SETTING, AND PARTICIPANTS: Participants were biopsy-naïve men aged 50-69 yr who had a PSA test in general practice. Participants with PSA 1-10 ng/ml also had an STHLM3 test and were referred for MRI if the STHLM311 test was positive (risk ≥11%) and/or PSA ≥3 ng/ml, and to targeted MRI-guided biopsy (MRGB) if their Prostate Imaging-Reporting and Data System (PI-RADS) score was ≥3. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome was the number of International Society of Urological Pathology grade group ≥2 (GG ≥2) cases detected with a positive STHLM311 test versus PSA ≥3 ng/ml. Post hoc analysis was performed using a higher STHLM3 test cutoff (risk ≥15%; positive STHLM315 test). RESULTS AND LIMITATIONS: Between January 2018 and December 2021, we recruited 1905 men. The STHLM3 test was performed in 1134 participants. Of these, 437 underwent MRI and 117 underwent MRGB, which detected 38 (32.5%) GG ≥2 and 52 (44.4%) with GG 1 cases. In comparison to PSA ≥3 ng/ml, a positive STHLM311 test increased detection of GG ≥2 from 30 to 37 cases (23.3%, 95% confidence interval [CI] 5.6-52.2%) and detection of GG 1 from 37 to 50 cases (35.1%, 95%CI 11.6-66.7%). STHLM315 positivity did not differ from PSA ≥3 ng/ml regarding detection of GG ≥2 PC (30 vs 32; 6.6%, 95% CI -8.1% to 25.9%), GG 1 PC (37 vs 37; 0.0%, 95% CI -19.6% to 25.0%), or MRGB use (88 vs 83; -5.7%, 95% CI -17.9% to 7.4%), but reduced MRI scans from 320 to 236 (-26.2%, 95% CI -33.1% to -18.9%). CONCLUSIONS: The STHLM311 test improved sensitivity but not specificity for detection of GG ≥2 PC in the clinical setting of nonsystematic PC testing in general practice. Further studies are needed to validate a possible benefit of using a higher cutoff for STHLM3 positivity as an entry test for MRI. PATIENT SUMMARY: We used a test called STHLM3 for detection of prostate cancer in general practice and compared its performance to the conventional PSA (prostate-specific antigen) test. We found that STHLM3 test results of 11% or above were not better at selecting men for MRI (magnetic resonance imaging) scans than the PSA test with a cutoff of 3 ng/ml or above. Analysis suggested that a higher cutoff for a positive STHLM3 test may improve selection of men for MRI scans, but further validation is needed.

Healthcare use and clinical investigations before a diagnosis of ovarian cancer: a register-based study in Denmark.

BACKGROUND: Ovarian cancer (OC) is associated with a poor prognosis, which calls for earlier diagnosis. This study aimed to analyse the health care use in primary care and at hospitals among women with OC compared to non-cancerous women to identify a window of opportunity for earlier diagnosis. METHODS: This nationwide register-based observational cohort study included all Danish women aged ≥ 40 years who were diagnosed with a first-time OC or borderline ovarian tumour in 2012-2018 and with no previous cancer diagnosis (n = 4,255). For each case, ten non-cancerous women were identified (n = 42,550). We estimated monthly incidence rate ratios using a negative binomial regression model to assess the use of health care services. We calculated risk ratios of having multiple contacts to general practice before a diagnosis using a binary regression model. RESULTS: Cases had statistically significantly higher contact rates to general practice from five months prior to the diagnosis compared to references. From six to eight months prior to diagnosis, an increased use of transvaginal ultrasound and gynaecologist was seen for cases compared to references. CONCLUSIONS: Increased healthcare use was seen relatively closely to the time of diagnosis for women with OC. This indicates a narrow window of opportunity for a timelier diagnosis. Still, the use of specialised assessment increased at six to eight months before the diagnosis. When women present unspecific symptoms, awareness of potential ovarian malignancies and safety-netting by the general practitioner may be pivotal. TRIAL REGISTRATION: Not relevant.

Healthcare fragmentation, multimorbidity, potentially inappropriate medication, and mortality: a Danish nationwide cohort study.

BACKGROUND: Patients with multimorbidity are frequent users of healthcare, but fragmented care may lead to suboptimal treatment. Yet, this has never been examined across healthcare sectors on a national scale. We aimed to quantify care fragmentation using various measures and to analyze the associations with patient outcomes. METHODS: We conducted a register-based nationwide cohort study with 4.7 million Danish adult citizens. All healthcare contacts to primary care and hospitals during 2018 were recorded. Clinical fragmentation indicators included number of healthcare contacts, involved providers, provider transitions, and hospital trajectories. Formal fragmentation indices assessed care concentration, dispersion, and contact sequence. The patient outcomes were potentially inappropriate medication and all-cause mortality adjusted for demographics, socioeconomic factors, and morbidity level. RESULTS: The number of involved healthcare providers, provider transitions, and hospital trajectories rose with increasing morbidity levels. Patients with 3 versus 6 conditions had a mean of 4.0 versus 6.9 involved providers and 6.6 versus 13.7 provider transitions. The proportion of contacts to the patient's own general practice remained stable across morbidity levels. High levels of care fragmentation were associated with higher rates of potentially inappropriate medication and increased mortality on all fragmentation measures after adjusting for demographic characteristics, socioeconomic factors, and morbidity. The strongest associations with potentially inappropriate medication and mortality were found for ≥ 20 contacts versus none (incidence rate ratio 2.83, 95% CI 2.77-2.90) and ≥ 20 hospital trajectories versus none (hazard ratio 10.8, 95% CI 9.48-12.4), respectively. Having less than 25% of contacts with your usual provider was associated with an incidence rate ratio of potentially inappropriate medication of 1.49 (95% CI 1.40-1.58) and a mortality hazard ratio of 2.59 (95% CI 2.36-2.84) compared with full continuity. For the associations between fragmentation measures and patient outcomes, there were no clear interactions with number of conditions. CONCLUSIONS: Several clinical indicators of care fragmentation were associated with morbidity level. Care fragmentation was associated with higher rates of potentially inappropriate medication and increased mortality even when adjusting for the most important confounders. Frequent contact to the usual provider, fewer transitions, and better coordination were associated with better patient outcomes regardless of morbidity level.

Clinic for Multimorbidity: An Innovative Approach to Integrate General Practice and Specialized Health Care Services.

Introduction: Caring for patients with multimorbidity in general practice is increasing in amount and complexity. To integrate care for patients with multimorbidity and to support general practitioners (GPs), the Clinic for Multimorbidity (CM) was established in 2012 at Silkeborg Regional Hospital, Denmark. This case study aims to describe the CM and the patients seen in it. Results: CM is an outpatient clinic that offers a comprehensive one-day assessment of the patient's complete health status and medication. GPs can refer patients with complex multimorbidity (≥2 chronic conditions). It involves collaboration across medical specialties and healthcare professions. The assessment is completed with a multidisciplinary conference and recommendation.In all, 141 patients were referred to the CM between May 2012 and November 2017. The median age was 70 years, 80% had more than five diagnoses, and in median patients had a usage of 11 drugs (IQI, 7-15). Physical and mental health was reported low (SF-12 score: 26 and 42). In median four specialties were involved and 4 examinations (IQI, 3-5) conducted. Conclusion: The CM offers innovative care by bridging and exceeding conventional boundaries of disciplines, professions, organizations, and primary and specialized care. The patients represented a very complex group, requiring many examinations and involvement of several specialists.

Multimorbidity and determinants for initiating outpatient trajectories: A population-based study.

INTRODUCTION: Individuals with multimorbidity often receive high numbers of hospital outpatient services in concurrent trajectories. Nevertheless, little is known about factors associated with initiating new hospital outpatient trajectories; identified as the continued use of outpatient contacts for the same medical condition. PURPOSE: To investigate whether the number of chronic conditions and sociodemographic characteristics in adults with multimorbidity is associated with entering a hospital outpatient trajectory in this population. METHODS: This population-based register study included all adults in Denmark with multimorbidity on January 1, 2018. The exposures were number of chronic conditions and sociodemographic characteristics, and the outcome was the rate of starting a new outpatient trajectory during 2018. Analyses were stratified by the number of existing outpatient trajectories. We used Poisson regression analysis, and results were expressed as incidence rates and incidence rate ratios with 95% confidence intervals. We followed the individuals during the entire year of 2018, accounting for person-time by hospitalization, emigration, and death. RESULTS: Incidence rates for new outpatient trajectories were highest for individuals with low household income and ≥3 existing trajectories and for individuals with ≥3 chronic conditions and in no already established outpatient trajectory. A high number of chronic conditions and male gender were found to be determinants for initiating a new outpatient trajectory, regardless of the number of existing trajectories. Low educational level was a determinant when combined with 1, 2, and ≥3 existing trajectories, and increasing age, western ethnicity, and unemployment when combined with 0, 1, and 2 existing trajectories. CONCLUSION: A high number of chronic conditions, male gender, high age, low educational level and unemployment were determinants for initiation of an outpatient trajectory. The rate was modified by the existing number of outpatient trajectories. The results may help identify those with multimorbidity at greatest risk of having a new hospital outpatient trajectory initiated.

A Validated Register-Based Algorithm to Identify Patients Diagnosed with Recurrence of Surgically Treated Stage I Lung Cancer in Denmark.

Introduction: Recurrence of cancer is not routinely registered in Danish national health registers. This study aimed to develop and validate a register-based algorithm to identify patients diagnosed with recurrent lung cancer and to estimate the accuracy of the identified diagnosis date. Material and Methods: Patients with early-stage lung cancer treated with surgery were included in the study. Recurrence indicators were diagnosis and procedure codes recorded in the Danish National Patient Register and pathology results recorded in the Danish National Pathology Register. Information from CT scans and medical records served as the gold standard to assess the accuracy of the algorithm. Results: The final population consisted of 217 patients; 72 (33%) had recurrence according to the gold standard. The median follow-up time since primary lung cancer diagnosis was 29 months (interquartile interval: 18-46). The algorithm for identifying a recurrence reached a sensitivity of 83.3% (95% CI: 72.7-91.1), a specificity of 93.8% (95% CI: 88.5-97.1), and a positive predictive value of 87.0% (95% CI: 76.7-93.9). The algorithm identified 70% of the recurrences within 60 days of the recurrence date registered by the gold standard method. The positive predictive value of the algorithm decreased to 70% when the algorithm was simulated in a population with a recurrence rate of 15%. Conclusion: The proposed algorithm demonstrated good performance in a population with 33% recurrences over a median of 29 months. It can be used to identify patients diagnosed with recurrent lung cancer, and it may be a valuable tool for future research in this field. However, a lower positive predictive value is seen when applying the algorithm in populations with low recurrence rates.

Diagnostic pathways for breast cancer in 10 International Cancer Benchmarking Partnership (ICBP) jurisdictions: an international comparative cohort study based on questionnaire and registry data.

OBJECTIVES: A growing body of evidence suggests longer time between symptom onset and start of treatment affects breast cancer prognosis. To explore this association, the International Cancer Benchmarking Partnership Module 4 examined differences in breast cancer diagnostic pathways in 10 jurisdictions across Australia, Canada, Denmark, Norway, Sweden and the UK. SETTING: Primary care in 10 jurisdictions. PARTICIPANT: Data were collated from 3471 women aged >40 diagnosed for the first time with breast cancer and surveyed between 2013 and 2015. Data were supplemented by feedback from their primary care physicians (PCPs), cancer treatment specialists and available registry data. PRIMARY AND SECONDARY OUTCOME MEASURES: Patient, primary care, diagnostic and treatment intervals. RESULTS: Overall, 56% of women reported symptoms to primary care, with 66% first noticing lumps or breast changes. PCPs reported 77% presented with symptoms, of whom 81% were urgently referred with suspicion of cancer (ranging from 62% to 92%; Norway and Victoria). Ranges for median patient, primary care and diagnostic intervals (days) for symptomatic patients were 3-29 (Denmark and Sweden), 0-20 (seven jurisdictions and Ontario) and 8-29 (Denmark and Wales). Ranges for median treatment and total intervals (days) for all patients were 15-39 (Norway, Victoria and Manitoba) and 4-78 days (Sweden, Victoria and Ontario). The 10% longest waits ranged between 101 and 209 days (Sweden and Ontario). CONCLUSIONS: Large international differences in breast cancer diagnostic pathways exist, suggesting some jurisdictions develop more effective strategies to optimise pathways and reduce time intervals. Targeted awareness interventions could also facilitate more timely diagnosis of breast cancer.

Unplanned cancer presentation in patients with psychiatric disorders: A nationwide register-based cohort study in Denmark.

Unplanned presentation in the cancer pathway is more common in patients with psychiatric disorders than in patients without. More knowledge about the risk factors for unplanned presentation could help target interventions to ensure earlier diagnosis of cancer in patients with psychiatric disorders. This study aims to estimate the association between patient characteristics (social characteristics and coexisting physical morbidity) and cancer diagnosis following unplanned presentation among cancer patients with psychiatric disorders. We conducted a population-based register study including patients diagnosed with cancer in 2014-2018 and also registered with at least one psychiatric disorder in the included Danish registers (n = 26,005). We used logistic regression to assess patient characteristics associated with an unplanned presentation. Almost one in four symptomatic patients (23.6 %) with pre-existing psychiatric disorders presented unplanned in the cancer trajectory. Unplanned presentation was most common for severe psychiatric disorders, e.g. organic disorders and schizophrenia. Old age, male sex, living alone, low education, physical comorbidity, and non-attendance in primary care were associated with increased odds of unplanned presentation. In conclusion, several characteristics of patients with pre-existing psychiatric disorders were associated with unplanned presentation in the cancer trajectory; for some groups more than 40 % had an unplanned presentation. This information could be used to design targeted interventions for patients with pre-existing psychiatric disorders to ensure earlier diagnosis of cancer in this population.

Fear of cancer recurrence at 2.5 years after a cancer diagnosis: a cross-sectional study in Denmark.

PURPOSE: The aim was to investigate the characteristics of cancer survivors with high levels of fear of cancer recurrence, and how such fear is associated with their needs for care. METHODS: This cross-sectional study was based on survey data from Danish cancer survivors at 2.5 years after a cancer diagnosis. These data were linked to nationwide register data. We used the 7-item Fear of Cancer Recurrence Inventory (FCR7) to measure fear of cancer recurrence, focussing on emotional, cognitive and behavioural reactions to such fear. The FCR7 score was dichotomised at the 75th percentile. A logistic regression model was used to analyse the associations between a high level of fear of cancer recurrence and (1) characteristics of patient and primary cancer and (2) cancer survivors' statements concerning follow-up for cancer. RESULTS: We included 1538 cancer survivors in the study. The median FCR7 score was 18 (interquartile interval: 13-21), and 366 (23.8%) respondents had an FCR7 score of > 21, defined as a high level of fear. In the adjusted analyses, a high level of fear was associated with female sex, younger age, comorbidity, advanced tumour stage and negative statements concerning follow-up, including feeling less safe in the follow-up programme. Fear was not related to the professional background of care providers involved in cancer follow-up. CONCLUSION: Fear of cancer recurrence was associated with female sex, younger age, comorbidity, advanced tumour stage and discontent with cancer follow-up.

Cancer risk in persons with new-onset anaemia: a population-based cohort study in Denmark.

BACKGROUND: The time interval from first symptom and sign until a cancer diagnosis significantly affects the prognosis. Therefore, recognising and acting on signs of cancer, such as anaemia, is essential. Evidence is sparse on the overall risk of cancer and the risk of specific cancer types in persons with new-onset anaemia detected in an unselected general practice population. We aimed to assess the risk of cancer in persons with new-onset anaemia detected in general practice, both overall and for selected cancer types. METHODS: This observational population-based cohort study used individually linked electronic data from laboratory information systems and nationwide healthcare registries in Denmark. We included persons aged 40-90 years without a prior history of cancer and with new-onset anaemia (no anaemia during the previous 15 months) detected in general practice in 2014-2018. We measured the incidence proportion and standardised incidence ratios of a new cancer diagnosis (all cancers except for non-melanoma skin cancers) during 12 months follow-up. RESULTS: A total of 48,925 persons (median [interquartile interval] age, 69 [55-78] years; 55.5% men) were included in the study. In total, 7.9% (95% confidence interval (CI): 7.6 to 8.2) of men and 5.2% (CI: 4.9 to 5.5) of women were diagnosed with cancer during 12 months. Across selected anaemia types, the highest cancer incidence proportion was seen in women with 'anaemia of inflammation' (15.3%, CI: 13.1 to 17.5) (ferritin > 100 ng/mL and increased C-reactive protein (CRP)) and in men with 'combined inflammatory iron deficiency anaemia' (19.3%, CI: 14.5 to 24.1) (ferritin < 100 ng/mL and increased CRP). For these two anaemia types, the cancer incidence across cancer types was 10- to 30-fold higher compared to the general population. CONCLUSIONS: Persons with new-onset anaemia detected in general practice have a high cancer risk; and markedly high for 'combined inflammatory iron deficiency anaemia' and 'anaemia of inflammation'. Anaemia is a sign of cancer that calls for increased awareness and action. There is a need for research on how to improve the initial pathway for new-onset anaemia in general practice.

Trajectories in Outpatient Care for People with Multimorbidity: A Population-Based Register Study in Denmark.

Background: Multimorbidity is a global health challenge. Individuals with multimorbidity are frequent users of healthcare services, and many experience fragmented healthcare. We assessed the number of outpatient trajectories and contacts with hospital outpatient clinics for individuals with multimorbidity and explored different time intervals for the occurrence of concurrent outpatient trajectories. Methods: A population-based cohort of 1.3 million residents, ≥18 years, with multimorbidity was identified through Danish national health registries. Multimorbidity was defined as having two or more of 39 specific chronic conditions. Nine disease system categories were used to categorize outpatient contacts in 2018 into outpatient trajectories and trajectory-related contacts. We defined an "outpatient trajectory" as two contacts within 12 consecutive months for the same medical condition. All outpatient contacts and trajectories with related contacts were counted for 2018. The impact of different time intervals on the number of concurrent trajectories was analyzed. Results: On 1 January 2019, 29% of the adult Danish population was classified as multimorbid. During 2018, 68% of them had ≥1 outpatient contact (median: 2 (IQI: 0-4)). Twenty-six percent had ≥1 outpatient trajectory. The median number of trajectory contacts was 3 (IQI: 2-5). The 4% of individuals with ≥2 outpatient trajectories accounted for 28% of trajectory contacts. During the 6-week period from the latest outpatient contact, 33% of all patients with ≥2 trajectories in 2018 experienced concurrent trajectories with outpatient contact. Conclusion: Two-thirds of adult Danes with multimorbidity attended an outpatient clinic in 2018, and one-fourth had at least one outpatient trajectory. Individuals with two or more trajectories represented 4% and comprised 28% of the trajectory contacts; 33% had concurrent trajectories within a 6-week period. It appears that a small proportion place demands on outpatient clinics because of frequent attendance. A more uniform way of organizing outpatient trajectories for these patients merits consideration.

Diagnostic routes and time intervals for ovarian cancer in nine international jurisdictions; findings from the International Cancer Benchmarking Partnership (ICBP).

BACKGROUND: International Cancer Benchmarking Partnership Module 4 reports the first international comparison of ovarian cancer (OC) diagnosis routes and intervals (symptom onset to treatment start), which may inform previously reported variations in survival and stage. METHODS: Data were collated from 1110 newly diagnosed OC patients aged >40 surveyed between 2013 and 2015 across five countries (51-272 per jurisdiction), their primary-care physicians (PCPs) and cancer treatment specialists, supplement by treatment records or clinical databases. Diagnosis routes and time interval differences using quantile regression with reference to Denmark (largest survey response) were calculated. RESULTS: There were no significant jurisdictional differences in the proportion diagnosed with symptoms on the Goff Symptom Index (53%; P = 0.179) or National Institute for Health and Care Excellence NG12 guidelines (62%; P = 0.946). Though the main diagnosis route consistently involved primary-care presentation (63-86%; P = 0.068), onward urgent referral rates varied significantly (29-79%; P < 0.001). In most jurisdictions, diagnostic intervals were generally shorter and other intervals, in particular, treatment longer compared to Denmark. CONCLUSION: This study highlights key intervals in the diagnostic pathway where improvements could be made. It provides the opportunity to consider the systems and approaches across different jurisdictions that might allow for more timely ovarian cancer diagnosis and treatment.

Routes to cancer diagnosis for patients with pre-existing psychiatric disorders: a nationwide register-based cohort study.

BACKGROUND: Poor cancer prognosis has been observed in patients with pre-existing psychiatric disorders. Therefore, we need better knowledge about the diagnosis of cancer in this patient group. The aim of the study was to describe the routes to cancer diagnosis in patients with pre-existing psychiatric disorders and to analyse how cancer type modified the routes. METHODS: A register-based cohort study was conducted by including patients diagnosed with incident cancer in 2014-2018 (n = 155,851). Information on pre-existing psychiatric disorders was obtained from register data on hospital contacts and prescription medication. Multinomial regression models with marginal means expressed as probabilities were used to assess the association between pre-existing psychiatric disorders and routes to diagnosis. RESULTS: Compared to patients with no psychiatric disorders, the population with a psychiatric disorder had an 8.0% lower probability of being diagnosed through cancer patient pathways initiated in primary care and a 7.6% higher probability of being diagnosed through unplanned admissions. Patients with pre-existing psychiatric disorders diagnosed with rectal, colon, pancreatic, liver or lung cancer and patients with schizophrenia and organic disorders were less often diagnosed through cancer patient pathways initiated in primary care. CONCLUSION: Patients with pre-existing psychiatric disorders were less likely to be diagnosed through Cancer Patient Pathways from primary care. To some extent, this was more pronounced among patients with cancer types that often present with vague or unspecific symptoms and among patients with severe psychiatric disorders. Targeting the routes by which patients with psychiatric disorders are diagnosed, may be one way to improve the prognosis among this group of patients.