BACKGROUND: Cervical cancer remains a significant public health concern in Europe. Effective introduction and scaling up of human papillomavirus (HPV) detection-based cervical cancer screening (CCS) requires a systematic assessment of health systems capacity. However, there is no validated capacity assessment methodology for CCS programmes, especially in European contexts. Addressing this gap, our study introduces an innovative and adaptable protocol for evaluating the capacity of CCS programmes across varying European health system settings.
METHODS: Our research team developed a three-step capacity assessment framework, incorporating a health policy review checklist, a facility visit survey, and key informants\' interview guide followed by a strengths, weaknesses, opportunities and threats (SWOT) analysis. Piloting this comprehensive approach, we explored the CCS capacity in three countries: Estonia, Portugal and Romania. These countries were selected due to their contrasting healthcare structures and resources, providing a diverse overview of the European context.
RESULTS: Conducted over a period of 9 months, the capacity assessment covered multiple resources, 27 screening centres, 16 colposcopy and treatment centres and 15 key informant interviews. Our analysis highlighted both shared and country-specific challenges. A key common issue was ensuring high compliance to follow-up and management of screen-positive women. We identified considerable heterogeneity in resources and organization across the three countries, underscoring the need for tailored, rather than one-size-fits-all, solutions.
CONCLUSIONS: Our study\'s novelty lies in the successful development of this capacity assessment methodology implementable within a relatively short time frame, proving its feasibility for use in various contexts and countries. The resulting set of materials, adaptable to different cancer types, is a ready-to-use toolkit to improve cancer screening processes and outcomes. This research marks a significant stride towards comprehensive capacity assessment for CCS programmes in Europe. Future directions include deploying these tools in other countries and cancer types, thereby contributing to the global fight against cancer.

BACKGROUND: Digitization shall improve the secondary use of health care data. The Government of the Kingdom of Saudi Arabia ordered a project to compile the National Master Plan for Health Data Analytics, while the Government of Estonia ordered a project to compile the Person-Centered Integrated Hospital Master Plan.
OBJECTIVE: This study aims to map these 2 distinct projects\' problems, approaches, and outcomes to find the matching elements for reuse in similar cases.
METHODS: We assessed both health care systems\' abilities for secondary use of health data by exploratory case studies with purposive sampling and data collection via semistructured interviews and documentation review. The collected content was analyzed qualitatively and coded according to a predefined framework. The analytical framework consisted of data purpose, flow, and sharing. The Estonian project used the Health Information Sharing Maturity Model from the Mitre Corporation as an additional analytical framework. The data collection and analysis in the Kingdom of Saudi Arabia took place in 2019 and covered health care facilities, public health institutions, and health care policy. The project in Estonia collected its inputs in 2020 and covered health care facilities, patient engagement, public health institutions, health care financing, health care policy, and health technology innovations.
RESULTS: In both cases, the assessments resulted in a set of recommendations focusing on the governance of health care data. In the Kingdom of Saudi Arabia, the health care system consists of multiple isolated sectors, and there is a need for an overarching body coordinating data sets, indicators, and reports at the national level. The National Master Plan of Health Data Analytics proposed a set of organizational agreements for proper stewardship. Despite Estonia\'s national Digital Health Platform, the requirements remain uncoordinated between various data consumers. We recommended reconfiguring the stewardship of the national health data to include multipurpose data use into the scope of interoperability standardization.
CONCLUSIONS: Proper data governance is the key to improving the secondary use of health data at the national level. The data flows from data providers to data consumers shall be coordinated by overarching stewardship structures and supported by interoperable data custodians.

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BACKGROUND: Despite the relatively low breast cancer incidence in Estonia, mortality remains high, and participation in mammography screening is below the recommended 70%. The objective of this register-based study was to evaluate incidence-based (IB) breast cancer mortality before and after the introduction of organized mammography screening in 2004.
METHODS: Breast cancer deaths individually linked to breast cancer diagnosis were obtained from the Estonian Cancer Registry and used for calculating IB mortality. We compared age-specific IB mortality rates across 5-year birth cohorts and 5-year periods. Poisson regression was used to compare IB mortality for one age group invited to screening (50-63) and three age groups not invited to screening (30-49, 65-69, and 70+) during two periods before and after screening initiation (1993-2003 and 2004-2014). Joinpoint regression was used for age-standardized incidence and IB mortality trends.
RESULTS: Age-standardized IB mortality has been decreasing since 1997. Age-specific IB mortality for birth cohorts never exposed to screening showed a continuous increase with age, while in cohorts exposed to organized screening the mortality curve flattened or declined after the age of first invitation. Significant decreases in mortality from 1993-2003 to 2004-2014 were seen in the 30-49 (age-adjusted rate ratio 0.51, 95% CI 90.42-0.63) and 50-63 (0.65, 95% CI 0.56-0.74) age groups, while no decline was seen in the 65-69 and 70+ age groups.
CONCLUSIONS: The age specific IB mortality curves in birth cohorts exposed to screening and the significant mortality decline in the target age group after the initiation of the organized program suggest a beneficial effect of screening. Improved treatment without screening has not reduced mortality in older age groups. Our results support raising the upper screening age limit to 74 years.

IntroductionObtaining epidemiological data on chronic hepatitis C virus (HCV) infection is essential to monitor progress towards the hepatitis C elimination targets.AimWe aimed to estimate the prevalence of chronic HCV and the seroprevalence of HCV in the adult general population in Estonia.MethodsThis cross-sectional study, conducted between 12 July and 6 December 2022, included anonymised residual sera collected prospectively from patients 18 years and older visiting a general practitioner in all counties of Estonia. Specimens were considered HCV-seropositive if they tested positive for HCV antibodies by enzyme-linked immunoassay, confirmed by line-immunoblot assay. Chronic HCV infection was determined by positive RT-qPCR.ResultsWe tested a total of 4,217 specimens. The estimated HCV seroprevalence and prevalence of chronic HCV infection were 1.8% (95% CI: 1.4-2.2) and 0.8% (95% CI: 0.5-1.1), respectively, with ca 8,100 persons estimated to have chronic HCV infection in the general adult population of Estonia. No statistically significant differences in the prevalence of chronic HCV infection were observed between sexes, counties or age groups, with the highest prevalence rates observed in men (sex ratio: 1.7), Ida-Virumaa County (1.8%; 95% CI: 0.8-3.6) and the age group 40-49 years (1.7%; 95% CI: 0.9-2.9).ConclusionThis study found an overall low prevalence of chronic HCV infection in Estonia. Continued efforts should be made for the targeted screening, diagnosis and treatment of individuals with chronic HCV infection to achieve hepatitis elimination targets.

This study aimed to describe the attitudes and personalities of farm managers (FMs) in large Estonian dairy herds and analyse the potential associations with calf mortality. The study included FMs from 114 free-stall farms with at least 100 cows. Each participant completed a questionnaire that comprised questions about the respondent and various statements to reveal their attitudes towards calves, calf mortality, and farming in general. A 7-point Likert scale was used to record the responses. The data on the number of live births and deaths and animal movement data were gathered from farm records and the Estonian Agricultural Registers and Information Board. The yearly calf mortality risk (%) during the first 21 days (YAG) and mortality rate between 22-90 days of age (OAG) adjusted for the animal time-at-risk were then calculated for each herd. Univariate negative binomial regression analysis was used to identify associations between calf mortality risk/rate, and the studied statements and variables with a p-value < 0.25 were included in a k-modes clustering analysis. The mean calf mortality risk was determined to be 5.9 % (range 0.0-26.8 %) during the first 21 days and mean calf mortality rate was 1.8 (range 0.0-9.2) deaths per 100 calf-months during 22-90 days of age. In both age group analyses, two FMs´ clusters formed based on 17 pre-selected statements. The FMs of the high-mortality cluster were found to be dissatisfied with the calf mortality levels. In the YAG analysis, FMs from high-mortality cluster gave lower priority to the issue of calf mortality, placed high importance on the influence of workers on calf mortality, and were more satisfied with the staff\'s performance compared to FMs of the cluster of herds with lower calf mortality. They were additionally less satisfied with their own performance and felt less recognized by the farm staff. They were also more inclined to try new products and practices on the farm and demonstrated greater empathy towards cattle. In the OAG analysis, the FMs from the higher-mortality cluster viewed reducing calf mortality more costly, had a less ambitious and target-driven management style, and rated their self-performance lower. This study determined that FMs working in herds with high calf mortality were dissatisfied and did not prioritize addressing calf mortality compared to managers working in farms with lower calf mortality. FMs\' attitudes and management styles were associated with calf mortality, while the respondents\' personality traits had little influence.

BACKGROUND: Endometriosis, defined as the presence of endometrial-like tissue outside of the uterus, is one of the most prevalent gynecological disorders. Although different theories have been proposed, its pathogenesis is not clear. Novel studies indicate that the gut microbiome may be involved in the etiology of endometriosis; nevertheless, the connection between microbes, their dysbiosis, and the development of endometriosis is understudied. This case-control study analyzed the gut microbiome in women with and without endometriosis to identify microbial targets involved in the disease.
METHODS: A subsample of 1000 women from the Estonian Microbiome cohort, including 136 women with endometriosis and 864 control women, was analyzed. Microbial composition was determined by shotgun metagenomics and microbial functional pathways were annotated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Partitioning Around Medoids (PAM) algorithm was performed to cluster the microbial profile of the Estonian population. The alpha- and beta-diversity and differential abundance analyses were performed to assess the gut microbiome (species and KEGG orthologies (KO)) in both groups. Metagenomic reads were mapped to estrobolome-related enzymes\' sequences to study potential microbiome-estrogen metabolism axis alterations in endometriosis.
RESULTS: Diversity analyses did not detect significant differences between women with and without endometriosis (alpha-diversity: all p-values > 0.05; beta-diversity: PERMANOVA, both R 2 < 0.0007, p-values > 0.05). No differential species or pathways were detected after multiple testing adjustment (all FDR p-values > 0.05). Sensitivity analysis excluding women at menopause (> 50 years) confirmed our results. Estrobolome-associated enzymes\' sequence reads were not significantly different between groups (all FDR p-values > 0.05).
CONCLUSIONS: Our findings do not provide enough evidence to support the existence of a gut microbiome-dependent mechanism directly implicated in the pathogenesis of endometriosis. To the best of our knowledge, this is the largest metagenome study on endometriosis conducted to date.

Obesity is a heritable disease, characterised by excess adiposity that is measured by body mass index (BMI). While over 1,000 genetic loci are associated with BMI, less is known about the genetic contribution to adiposity trajectories over adulthood. We derive adiposity-change phenotypes from 24.5 million primary-care health records in over 740,000 individuals in the UK Biobank, Million Veteran Program USA, and Estonian Biobank, to discover and validate the genetic architecture of adiposity trajectories. Using multiple BMI measurements over time increases power to identify genetic factors affecting baseline BMI by 14%. In the largest reported genome-wide study of adiposity-change in adulthood, we identify novel associations with BMI-change at six independent loci, including rs429358 (APOE missense variant). The SNP-based heritability of BMI-change (1.98%) is 9-fold lower than that of BMI. The modest genetic correlation between BMI-change and BMI (45.2%) indicates that genetic studies of longitudinal trajectories could uncover novel biology of quantitative traits in adulthood.

UNASSIGNED: The shortage of general practitioners (GPs) is a worsening problem in many countries and poses a threat to the services provided by primary care and by extension for the entire healthcare system. Issues with GP workforce recruitment and retention can be reasons for this shortage.
UNASSIGNED: To describe GP trainees and newly qualified GPs experiences and perceptions on how their training and early experiences of work influence their career intentions in primary care in Estonia.
UNASSIGNED: A qualitative study with GP trainees (n = 12) and newly qualified GPs (n = 13) using semi-structured group interviews (n = 6) was conducted. Interviews were conducted from October until November 2020. Data were analysed using thematic analysis with NVivo Software.
UNASSIGNED: Although early-career GPs in Estonia envision their future roles as GP practice owners with patient list, this is often postponed due to various reasons. Early-career GPs expressed a sense of unpreparedness to fill all the roles of GPs\' and found the process of establishing a GP practice and taking on a patient lists very complicated. They value work-life balance and prefer workplaces, which offer flexible working conditions.
UNASSIGNED: Potential strategies were identified to enhance the willingness of early-career GPs to continue their career as GP practice owners with patient list: improving the GP training program by placing more emphasis on managing skills and making the process of establishing GP practice and taking on a patient list less bureaucratic and more accessible.
This study highlights the career intentions of GP trainees and newly qualified GPs in Estonia.Participants of this study perceive the many different roles of being a GP as very challenging.Understanding early-career GPs ideas about the future work environments can be helpful in shaping future workforce strategies.

BACKGROUND: Patients\' online record access (ORA) enables patients to read and use their health data through online digital solutions. One such solution, patient-accessible electronic health records (PAEHRs) have been implemented in Estonia, Finland, Norway, and Sweden. While accumulated research has pointed to many potential benefits of ORA, its application in mental healthcare (MHC) continues to be contested. The present study aimed to describe MHC users\' overall experiences with national PAEHR services.
METHODS: The study analysed the MHC-part of the NORDeHEALTH 2022 Patient Survey, a large-scale multi-country survey. The survey consisted of 45 questions, including demographic variables and questions related to users\' experiences with ORA. We focused on the questions concerning positive experiences (benefits), negative experiences (errors, omissions, offence), and breaches of security and privacy. Participants were included in this analysis if they reported receiving mental healthcare within the past two years. Descriptive statistics were used to summarise data, and percentages were calculated on available data.
RESULTS: 6,157 respondents were included. In line with previous research, almost half (45%) reported very positive experiences with ORA. A majority in each country also reported improved trust (at least 69%) and communication (at least 71%) with healthcare providers. One-third (29.5%) reported very negative experiences with ORA. In total, half of the respondents (47.9%) found errors and a third (35.5%) found omissions in their medical documentation. One-third (34.8%) of all respondents also reported being offended by the content. When errors or omissions were identified, about half (46.5%) reported that they took no action. There seems to be differences in how patients experience errors, omissions, and missing information between the countries. A small proportion reported instances where family or others demanded access to their records (3.1%), and about one in ten (10.7%) noted that unauthorised individuals had seen their health information.
CONCLUSIONS: Overall, MHC patients reported more positive experiences than negative, but a large portion of respondents reported problems with the content of the PAEHR. Further research on best practice in implementation of ORA in MHC is therefore needed, to ensure that all patients may reap the benefits while limiting potential negative consequences.