Ontology-Based AI Design Patterns and Constraints in Cancer Registry Data Validation.

Data validation in cancer registration is a critical operation but is resource-intensive and has traditionally depended on proprietary software. Ontology-based AI is a novel approach utilising machine reasoning based on axioms formally described in description logic. This is a different approach from deep learning AI techniques but not exclusive of them. The advantage of the ontology approach lies in its ability to address a number of challenges concurrently. The disadvantages relate to computational costs, which increase with language expressivity and the size of data sets, and class containment restrictions imposed by description logics. Both these aspects would benefit from the availability of design patterns, which is the motivation behind this study. We modelled the European cancer registry data validation rules in description logic using a number of design patterns and showed the viability of the approach. Reasoning speeds are a limiting factor for large cancer registry data sets comprising many hundreds of thousands of records, but these can be offset to a certain extent by developing the ontology in a modular way. Data validation is also a highly parallelisable process. Important potential future work in this domain would be to identify and optimise reusable design patterns, paying particular attention to avoiding any unintended reasoning efficiency hotspots.

Prevalence and Correlates of Cannabis Use among U.S. Veterans during the Second Wave of the COVID-19 Pandemic.

INTRODUCTION: Military veterans are at increased risk of substance use disorders. Limited research is available about veterans' cannabis use (CU) during the coronavirus disease 2019 (COVID-19) pandemic. This study estimated the prevalence of past 30-day CU, investigated individual-level correlates of past 30-day CU, and evaluated the reasons (medical, recreational, or both) of past 30-day CU among U.S. Veterans during the second wave of the COVID-19 pandemic. MATERIALS AND METHODS: We used population-based, cross-sectional data from the 2021 Behavioral Risk Factor Surveillance System Survey Marijuana Use model. The sample included nationally representative military veterans aged 18+ years (n = 11,167). The outcome was past 30-day CU. Individual-level demographic, socioeconomic, behavioral, and clinical correlates were examined. Analyses were weighted to account for the survey's complex design with results generalizable to nearly 2.9 million veterans. We conducted weighted descriptive statistics, prevalence estimates, and multivariable logistic regression analyses. RESULTS: Out of 2.9 million veterans, 11.1% self-reported as non-Hispanic Black, 3.7% Hispanic, and 79.1% non-Hispanic White; 88.5% were men, and 72.8% were aged 50+ years. About 14.6% were current tobacco smokers, 4.7% were current e-cigarette users, 12.5% were binge alcohol drinkers, and 43.4% had three or more comorbid conditions. Overall, 8.5% reported CU in the past 30 days, of which 30.4% used it for medical reasons and 25.8% used it for nonmedical reasons. The prevalence of past 30-day CU decreased with age, education, and income level. Compared to their counterparts, the odds of past 30-day CU were greater among men, those living in urban areas, those with frequent mental distress, infrequent physical distress, and those who had at least one comorbid condition. Non-Hispanic Black veterans had 89% increased odds of past 30-day CU (adjusted odds ratio [AOR] =1.89, 95% confidence interval [CI], 1.19-3.0) compared with non-Hispanic White veterans. Current tobacco smokers had 3.54 (95% CI, 2.40-5.24) and former smokers had 1.78 (95% CI, 1.28-2.47) times higher odds of reporting past 30-day CU than never smokers. Current e-cigarette use (AOR = 3.37, 95% CI, 2.20-5.16) and binge drinking (AOR = 3.18, 95% CI, 2.29-4.41) were also statistically significantly associated with increased odds of past 30-day CU compared to no e-cigarette use and no binge drinking. CONCLUSIONS: CU is prevalent among veterans, and certain subgroups are at higher risk of CU. Thus, identifying high-risk subgroups of veterans and adequately educating them about CU's benefits, risks, and safety is crucial.

An ontology design for validating childhood cancer registry data.

Ontologies can provide a valuable role in the work of cancer registration, particularly as a tool for managing and navigating the various classification systems and coding rules. Further advantages accrue from the ability to formalise the coding rule base using description logics and thereby benefit from the associated automatic reasoning functionality. Drawing from earlier work that showed the viability of applying ontologies in the data validation tasks of cancer registries, an ontology was created using a modular approach to handle the specific checks for childhood cancers. The ontology was able to handle successfully the various inter-variable checks using the axiomatic constructs of the web ontology language. Application of an ontological approach for data validation can greatly simplify the maintenance of the coding rules and facilitate the federation of any centralised validation process to the local level. It also provides an improved means of visualising the rule interdependencies from different perspectives. Performance of the automatic reasoning process can be a limiting issue for very large datasets and will be a focus for future work. Results are provided showing how the ontology is able to validate cancer case records typical for childhood tumours.

Trusted Data Spaces as a Viable and Sustainable Solution for Networks of Population-Based Patient Registries.

Harmonization and integration of health data remain as the focus of many ongoing efforts toward the goal of optimizing health and health care policies. Population-based patient registries constitute a critical element of these endeavors. Although their main function is monitoring and surveillance of a particular disease within a given population, they are also an important data source for epidemiology. Comparing indicators across national boundaries brings an extra dimension to the use of registry data, especially in regions where supranational initiatives are or could be coordinated to leverage good practices; this is particularly relevant for the European Union. However, strict data protection laws can unintentionally hamper the efforts of data harmonization to ensure the removal of statistical bias in the individual data sets, thereby compromising the integrated value of registries' data. Consequently, there is the motivation for creating a new paradigm to ensure that registries can operate in an environment that is not unnecessarily restrictive and to allow accurate comparison of data to better ascertain the measures and practices that are most conducive to the public health of societies. The pan-European organizational model of cancer registries, owing to its long and successful establishment, was considered as a sound basis from which to proceed toward such a paradigm. However, it has certain drawbacks, particularly regarding governance, scalability, and resourcing, which are essential elements to consider for a generic patient registry model. These issues are addressed in a proposal of an adapted model that promises a valuable pan-European data resource for epidemiological research, while providing a closely regulated environment for the processing of pseudonymized patient summary data on a broader scale than has hitherto been possible.

A multipurpose TNM stage ontology for cancer registries.

BACKGROUND: Population-based cancer registries are a critical reference source for the surveillance and control of cancer. Cancer registries work extensively with the internationally recognised TNM classification system used to stage solid tumours, but the system is complex and compounded by the different TNM editions in concurrent use. TNM ontologies exist but the design requirements are different for the needs of the clinical and cancer-registry domains. Two TNM ontologies developed specifically for cancer registries were designed for different purposes and have limitations for serving wider application. A unified ontology is proposed to serve the various cancer registry TNM-related tasks and reduce the multiplication effects of different ontologies serving specific tasks. The ontology is comprehensive of the rules for TNM edition 7 as required by cancer registries and designed on a modular basis to allow extension to other TNM editions. RESULTS: A unified ontology was developed building on the experience and design of the existing ontologies. It follows a modular approach allowing plug in of components dependent upon any particular TNM edition. A Java front-end was developed to interface with the ontology via the Web Ontology Language application programme interface and enables batch validation or classification of cancer registry records. The programme also allows the means of automated error correction in some instances. Initial tests verified the design concept by correctly inferring TNM stage and successfully handling the TNM-related validation checks on a number of cancer case records, with a performance similar to that of an existing ontology dedicated to the task. CONCLUSIONS: The unified ontology provides a multi-purpose tool for TNM-related tasks in a cancer registry and is scalable for different editions of TNM. It offers a convenient way of quickly checking validity of cancer case stage information and for batch processing of multi-record data via a dedicated front-end programme. The ontology is adaptable to many uses, either as a standalone TNM module or as a component in applications of wider focus. It provides a first step towards a single, unified TNM ontology for cancer registries.

The European cancer burden in 2020: Incidence and mortality estimates for 40 countries and 25 major cancers.

INTRODUCTION: Europe is an important focus for compiling accurate and up-to-date world cancer statistics owing to its large share of the world's total cancer burden. This article presents incidence and mortality estimates for 25 major cancers across 40 individual countries within European areas and the European Union (EU-27) for the year 2020. METHODS: The estimated national incidence and mortality rates are based on statistical methodology previously applied and verified using the most recently collected incidence data from 151 population-based cancer registries, mortality data and 2020 population estimates. RESULTS: Estimates reveal 4 million new cases of cancer (excluding non-melanoma skin cancer) and 1.9 million cancer-related deaths. The most common cancers are: breast in women (530,000 cases), colorectum (520,000), lung (480,000) and prostate (470,000). These four cancers account for half the overall cancer burden in Europe. The most common causes of cancer deaths are: lung (380,000), colorectal (250,000), breast (140,000) and pancreatic (130,000) cancers. In EU-27, the estimated new cancer cases are approximately 1.4 million in males and 1.2 million in females, with over 710,000 estimated cancer deaths in males and 560,000 in females. CONCLUSION: The 2020 estimates provide a basis for establishing priorities in cancer-control measures across Europe. The long-established role of cancer registries in cancer surveillance and the evaluation of cancer control measures remain fundamental in formulating and adapting national cancer plans and pan-European health policies. Given the estimates are built on recorded data prior to the onset of coronavirus disease 2019 (COVID-19), they do not take into account the impact of the pandemic.

Person-centered assessment of people living with dementia: Review of existing measures.

INTRODUCTION: Person-centered care and assessment calls for measurement tools that help researchers and providers understand people with dementia, their social relationships, and their experience of the care environment. This paper reviewed available measures and evaluated their psychometric properties. METHODS: Literature searches of major databases (PsycInfo, PubMed, EBSCO, CINAHL) for papers examining person-centered constructs in samples of people living with dementia or mild cognitive impairment. Reliability and validity coefficients were reviewed and reported. RESULTS: We identified 26 unique measures that had been tested in samples of people living with dementia. Twelve measures of hope, well-being, engagement, social relationships, meaning, resilience, stigma, spiritual beliefs and practices, values and preferences, and positive psychology constructs had strong psychometric properties in samples with dementia. DISCUSSION: A variety of reliability and valid measures were identified for use in person-centered care and research with people living with dementia. Additional measure development is needed for key person-centered concepts including dignity and strengths.

An ontology-based approach for developing a harmonised data-validation tool for European cancer registration.

BACKGROUND: Population-based cancer registries constitute an important information source in cancer epidemiology. Studies collating and comparing data across regional and national boundaries have proved important for deploying and evaluating effective cancer-control strategies. A critical aspect in correctly comparing cancer indicators across regional and national boundaries lies in ensuring a good and harmonised level of data quality, which is a primary motivator for a centralised collection of pseudonymised data. The recent introduction of the European Union's general data-protection regulation (GDPR) imposes stricter conditions on the collection, processing, and sharing of personal data. It also considers pseudonymised data as personal data. The new regulation motivates the need to find solutions that allow a continuation of the smooth processes leading to harmonised European cancer-registry data. One element in this regard would be the availability of a data-validation software tool based on a formalised depiction of the harmonised data-validation rules, allowing an eventual devolution of the data-validation process to the local level. RESULTS: A semantic data model was derived from the data-validation rules for harmonising cancer-data variables at European level. The data model was encapsulated in an ontology developed using the Web-Ontology Language (OWL) with the data-model entities forming the main OWL classes. The data-validation rules were added as axioms in the ontology. The reasoning function of the resulting ontology demonstrated its ability to trap registry-coding errors and in some instances to be able to correct errors. CONCLUSIONS: Describing the European cancer-registry core data set in terms of an OWL ontology affords a tool based on a formalised set of axioms for validating a cancer-registry's data set according to harmonised, supra-national rules. The fact that the data checks are inherently linked to the data model would lead to less maintenance overheads and also allow automatic versioning synchronisation, important for distributed data-quality checking processes.

Interoperability of population-based patient registries.

Enabling full interoperability within and between population-based patient-registry domains would open up access to a rich and unique source of health data for secondary data usage. Previous attempts to tackle patient-registry interoperability have met with varying degrees of success, but a unifying solution remains elusive. The purpose of this paper is to show by practical example how a solution is attainable via the implementation of an existing framework based of the concept of federated, semantic metadata registries. One important feature motivating the use of this framework is that it can be implemented gradually and independently within each patient-registry domain. By employing linked open data principles, the framework extends the ISO/IEC 11179 standard to provide both syntactic and semantic interoperability of data elements with the means of specifying automated extraction scripts for retrieval of data from different registry content models. The examples provided address the domain of European population-based cancer registries to demonstrate the feasibility of the approach. One of the examples shows how quick gains are derivable by allowing retrieval of aggregated core data sets. The other examples show how aggregated full sets of data and record-level data might also be retrieved from each local registry. An infrastructure of patient-registry domains adhering to the principles of the framework would provide the semantic contexts and inter-linkage of data necessary for automated search and retrieval of registry data. It would thereby also lay the foundation for making registry data serviceable to artificial intelligence (AI) applications.

Interoperability of population-based patient registries.

Enabling full interoperability within and between population-based patient-registry domains would open up access to a rich and unique source of health data for secondary data usage. Previous attempts to tackle patient-registry interoperability have met with varying degrees of success, but a unifying solution remains elusive. The purpose of this paper is to show by practical example how a solution is attainable via the implementation of an existing framework based of the concept of federated, semantic metadata registries. One important feature motivating the use of this framework is that it can be implemented gradually and independently within each patient-registry domain. By employing linked open data principles, the framework extends the ISO/IEC 11179 standard to provide both syntactic and semantic interoperability of data elements with the means of specifying automated extraction scripts for retrieval of data from different registry content models. The examples provided address the domain of European population-based cancer registries to demonstrate the feasibility of the approach. One of the examples shows how quick gains are derivable by allowing retrieval of aggregated core data sets. The other examples show how aggregated full sets of data and record-level data might also be retrieved from each local registry. An infrastructure of patient-registry domains adhering to the principles of the framework would provide the semantic contexts and inter-linkage of data necessary for automated search and retrieval of registry data. It would thereby also lay the foundation for making registry data serviceable to artificial intelligence (AI) applications.

Psychometric Evaluation of the Social Isolation Scale in Older Adults.

BACKGROUND AND OBJECTIVES: Social isolation is known to be detrimental to the health of older adults, yet there is no brief instrument to measure it. The objective was to describe the psychometric testing of a brief instrument constructed from theoretical underpinnings to measure social isolation in older adults. RESEARCH DESIGN AND METHODS: A sample of 9,245 participants, all aged 60 years and older, was obtained from 44 states in the United States. Summary descriptive statistics were calculated, followed by exploratory factor analysis using Geomin rotation and subsequently confirmatory factor analysis (CFA). After finding the best model, differential item functioning (DIF) was conducted using a multiple indicator multiple cause structural equation model to determine if item responses differed by gender or race after controlling for level of social isolation. Internal consistency was calculated and validity was assessed by correlating factor scores with 2 external measures. RESULTS: Exploratory factor analysis resulted in all items having statistically significant loadings. CFA showed the 2-factor model demonstrated excellent fit (CFI = 0.997, RMSEA = .038). The 2 factors were labeled connectedness and belongingness. After adjusting for demographic variables, no evidence suggested DIF. Internal consistency was good (alpha = .77) and the scale moderately correlated with the Social Network Index (r = .47). DISCUSSION AND IMPLICATIONS: The Social Isolation Scale has been shown to be an effective measure of social isolation in older adults. Using this concise instrument to quickly measure social isolation in a fast-paced health care environment would be beneficial to health care providers and patients.

Residential relocations among older people over the course of more than 10 years.

OBJECTIVE: The objective of this study was to describe the rates of residential relocations over the course of 10.5 years and evaluate differences in these relocation rates according to gender and decedent status. DESIGN: Prospective, longitudinal study with monthly telephone follow-up for up to 126 months. SETTING: Greater New Haven, CT. PARTICIPANTS: There were 754 participants, aged 70 years or older, who were initially community-living and nondisabled in their basic activities of daily living. MEASUREMENTS: Residential location was assessed during monthly interviews and included community, assisted living facility, and nursing home. A residential relocation was defined as a change of residential location for at least 1 week and included relocations within (eg, community-community) or between (community- assisted living) locations. We calculated the rates of relocations per 1000 patient-months and evaluated differences by gender and decedent status. RESULTS: Sixty-six percent of participants had at least one residential relocation (range 0-12). Women had lower rates of relocations from nursing home to community (rate ratio [RR] 0.59, P = .02); otherwise, there were no gender differences. Decedents had higher rates of relocation from community to assisted living (RR 1.71, P = .002), from community to nursing home (RR 3.64, P < .001), between assisted living facilities (RR 3.65, P < .001), and from assisted living to nursing home (RR 2.5, P < .001). In decedents, relocations from community to nursing home (RR 3.58, P < .001) and from assisted living to nursing home (RR 3.3, P < .001) were most often observed in the last year of life. CONCLUSIONS: Most older people relocated at least once during 10.5 years of follow-up. Women had lower rates of relocation from nursing home to community. Decedents were more likely to relocate to a residential location providing a higher level of assistance, compared with nondecedents. Residential relocations were most common in the last year of life.

Predictors of diminished levels of social integration in older adults.

The purpose of this secondary analysis of prospective longitudinal data was to determine the variables predictive of diminished social integration in older adults over time. Using generalized estimating equations to model diminished levels of social integration over the 12-year study period, the following variables were predictive of diminished levels of social integration over time: bad overall health (odds ratio [OR] = 2.31, 95% confidence interval [CI] 1.39, 3.83), depressive symptoms (OR = 1.36, 95% CI 1.13, 1.65), positive smoking status (OR = 1.40, 95% CI 1.15, 1.71), and decreased religious engagement (OR = 1.81, 95% CI 1.04, 2.19). A better understanding of predictive factors could positively impact resource allocation, prioritization, and case management for older adults.

Decreasing social isolation in older adults: effects of an empowerment intervention offered through the CARELINK program.

Older adults reporting social isolation are at increased risk for numerous negative health outcomes, including depressive symptoms, decreased quality of life, and cardiovascular disease. The purpose of this study was to test the effects of a university student model of care intervention offered through the CARELINK program on social isolation in a sample of community-dwelling older adults (N = 56). Older adults in the comparison group, who had not yet received the CARELINK program, were nearly 12 times more likely to be socially isolated. Results indicate the empowerment intervention offered through the CARELINK program had positive effects on reducing social isolation in older adults. The CARELINK program has important implications for nursing as it provides an uncomplicated and inexpensive intervention to decrease social isolation for older adults in the community. Given the sample selection limitation in this study, a randomized controlled trial is warranted. Future research should examine specific aspects of the CARELINK program and the amount each aspect affects social isolation.

A review of social isolation: an important but underassessed condition in older adults.

Social isolation is a major and prevalent health problem among community-dwelling older adults, leading to numerous detrimental health conditions. With a high prevalence, and an increasing number of older persons, social isolation will impact the health, well-being, and quality of life of numerous older adults now and in the foreseeable future. For this review, a series of literature searches of the CINAHL, PsycINFO, and Medline databases were conducted, using the key words "social isolation," "social networks," "older adults," "elderly," "belonging," "perceived isolation," "social engagement," "social contacts," and "social integration," for the period of 1995-2010. The results show that there is an overabundance of evidence demonstrating numerous negative health outcomes and potential risk factors related to social isolation. However, there is scarce evidence that public health professionals are assessing social isolation in older persons, despite their unique access to very socially isolated, homebound older adults. Additionally, few viable interventions were found; therefore, it is advisable to focus on the prevention of social isolation in older adults. Public health professionals can take steps toward increasing the early assessment of social isolation and referring at-risk individuals to available community resources in order to prevent social isolation or further isolation, which would serve to reduce the numerous negative health outcomes associated with this condition.

One step at a time: self-management and transitions among women with ovarian cancer.

PURPOSE/OBJECTIVES: To describe experiences of self-management and transitioning among women with ovarian cancer. RESEARCH APPROACH: Interpretive description. SETTING: Participants' homes. PARTICIPANTS: Purposive sample of 10 women with ovarian cancer. METHODOLOGIC APPROACH: Individual interviews about women's self-management and transition experiences. MAIN RESEARCH VARIABLES: Self-management, transitions, and ovarian cancer. FINDINGS: Participants self-managed to increase their sense of control and to self-advocate. They managed their care one step at a time to prevent becoming overwhelmed. Common transitions were diagnosis, surgery and recovery, starting chemotherapy, managing symptoms, and recurrence. Transitions were challenging, even if previously experienced, and influenced the ability and willingness of women to self-manage. Barriers and facilitators to self-management were identified. CONCLUSIONS: The approach to self-management of one step at a time is somewhat illusory, as women face multiple transitions simultaneously. The short trajectory of ovarian cancer leaves little time between transitions and an awareness of mortality. Women are forced to confront goals of care quickly, which may affect their ability to self-manage. INTERPRETATION: Women with ovarian cancer need clinical and social support to prioritize and manage transitions. Introducing palliative care shortly after diagnosis could facilitate women's anticipation of and adjustment to transitions.

Expanding the knowledge base of resident and facility outcomes of care delivered by advanced practice nurses in long-term care: expert panel recommendations.

In 2003, a panel of nationally recognized experts in geriatric practice, education, research, public policy, and long-term care convened to examine and make recommendations about care quality and safety issues related to advanced practice nurses (APNs) in nursing home practice. This article reports on the panel recommendation that addressed expanding the evidence base of resident and facility outcomes of APN nursing home practice. A review of the small but important body of research related to nursing home APN practice suggests a positive impact on resident care and facility outcomes. Recommendations are made for critically needed research in four key areas: (a) APN nursing home practice, (b) relative value unit coding, (c) outcomes related to geropsychiatric and mental health nursing services, and (d) outcomes related to geriatric specialization. The APN role could be significantly enhanced and executed if its specific contribution to resident and facility outcomes was more clearly delineated through the recommended rigorous research.

Social isolation in older adults: an evolutionary concept analysis.

AIM: This paper is a report of an analysis of the concept of social isolation as experienced by older adults. BACKGROUND: Social isolation is a serious problem with older adults that is expected to increase in the future. Although strong correlations exist between social isolation and negative health consequences, few interventions exist. One contributing factor to this is a lack of conceptual clarity. DATA SOURCES: The CINAHL, PsycINFO and Medline databases and the Web of Science were searched using the key terms social isolation, social networks, older adults, elderly and social integration for publications between 1983 and 2007. REVIEW METHODS: An evolutionary concept analysis was undertaken. References were read in their entirety and analysed based on the summary of surrogate terms, related concepts, attributes, antecedents and consequences. FINDINGS: Five attributes were identified: number of contacts, feeling of belonging, fulfilling relationships, engagement with others and quality of network members. Antecedents included: lack of relationships, psychological barriers, physical barriers, low financial and resource exchange, and prohibitive environment. Roy's Adaptation Model is proposed as a theoretical context into which social isolation fits. CONCLUSION: Numerous definitions are used to describe social isolation, but they lack uniformity, consistency and clarity; this impairs the further development and refinement of the concept. This concept analysis can offer additional understanding and a starting point for future research related to social isolation.

Dietary supplement information and intention to continue and recommend supplements.

This posttest only two-group design study with 113 adults tested how reading a pamphlet based on the United States' Federal Drug Administration (FDA) Tips for the Savvy Supplement User affects intention to use and recommend supplements. A total of 23.7% fewer people with health problems who prior to reading the pamphlet believed that supplements were safer than medications planned to recommend their dietary supplement to family and friends after reading the pamphlet than in the comparison group. A lower probability of recommending dietary supplements is a helpful starting point for safer dietary supplement use by consumers.