Does Legislation Impede Data Sharing in Australia Across Institutions and Jurisdictions? A Scoping Review

In Australia, regulations governing data, including formal legislation and policies promulgated by private and public agencies, are often seen as a barrier to data sharing. This sharing can include between institutions, as well as across jurisdictional borders in a federated jurisdiction such as Australia. In some cases, these regulations place a barrier to sharing data across borders or between institutions without a prerequisite requirement. In other cases, these regulations may be perceived as a justification not to share data. The objective of this review was to analyse published literature from Australia to see what regulations were used to justify not sharing data, along with any other factors that might discourage data sharing. We searched PubMed, Scopus and Web of Science for empirical and policy articles discussing data sharing in Australia. We then filtered these results via abstract and conducted a full text assessment to include 33 articles for analysis. Although there are a few areas of notable regulatory divergence with respect to legislation governing health data, most regulations in Australia are relatively consistent. Further, the absence of uniform ethics approval between sites in different states was frequently cited as a barrier to data sharing.

Self-help management of patients undergoing chemotherapy: analysis of the online forum of the women's self-help association against cancer

PURPOSE

The aim of this study was to examine threads on chemotherapy in the largest German self-help forum regarding content and emotions.

METHODS

All threads on the subject of chemotherapy that were published by February 6th, 2022 were included in the category "drug therapy". A total of 50 threads were analyzed. A quantitative analysis was carried out with regard to content, emotions, number of replies, number of hits, duration of the conversation, duration of access in days, number density of replies, and hits per day.

RESULTS

16 threads are about side effects and in 18 threads, the emotion is fear. Threads in which the emotion fear was expressed have the highest number of replies at 3367. Shared therapy successes are posted with pleasure and achieved a higher mean value for the duration of conversation with 1374.25 days.

CONCLUSION

An online self-help forum is a very important source of psychosocial support for patients undergoing chemotherapy.

Evaluation of OMOP CDM, i2b2 and ICGC ARGO for supporting data harmonization in a breast cancer use case of a multicentric European AI project

OBJECTIVE

Observational research in cancer poses great challenges regarding adequate data sharing and consolidation based on a homogeneous data semantic base. Common Data Models (CDMs) can help consolidate health data repositories from different institutions minimizing loss of meaning by organizing data into a standard structure. This study aims to evaluate the performance of the Observational Medical Outcomes Partnership (OMOP) CDM, Informatics for Integrating Biology & the Bedside (i2b2) and International Cancer Genome Consortium, Accelerating Research in Genomic Oncology (ICGC ARGO) for representing non-imaging data in a breast cancer use case of EuCanImage.

METHODS

We used ontologies to represent metamodels of OMOP, i2b2, and ICGC ARGO and variables used in a cancer use case of a European AI project. We selected four evaluation criteria for the CDMs adapted from previous research: content coverage, simplicity, integration, implementability.

RESULTS

i2b2 and OMOP exhibited higher element completeness (100% each) than ICGC ARGO (58.1%), while the three achieved 100% domain completeness. ICGC ARGO normalizes only one of our variables with a standard terminology, while i2b2 and OMOP use standardized vocabularies for all of them. In terms of simplicity, ICGC ARGO and i2b2 proved to be simpler both in terms of ontological model (276 and 175 elements, respectively) and in the queries (7 and 20 lines of code, respectively), while OMOP required a much more complex ontological model (615 elements) and queries similar to those of i2b2 (20 lines). Regarding implementability, OMOP had the highest number of mentions in articles in PubMed (130) and Google Scholar (1,810), ICGC ARGO had the highest number of updates to the CDM since 2020 (4), and i2b2 is the model with more tools specifically developed for the CDM (26).

CONCLUSION

ICGC ARGO proved to be rigid and very limited in the representation of oncologic concepts, while i2b2 and OMOP showed a very good performance. i2b2's lack of a common dictionary hinders its scalability, requiring sites that will share data to explicitly define a conceptual framework, and suggesting that OMOP and its Oncology extension could be the more suitable choice. Future research employing these CDMs with actual datasets is needed.

Risk of Melanoma and Nonmelanoma Skin Cancer in People with Vitiligo: United Kingdom Population-Based Cohort Study

Although genetic studies have found an inverse relationship between vitiligo and skin cancer, epidemiological evidence is conflicting. We investigated the risk of skin cancer in adults with vitiligo using United Kingdom electronic primary care records from the Optimum Patient Care Research Database 2010-2020. Vitiligo cases were age, sex, and general practitioner practice matched to population controls without vitiligo. Incidence of melanoma, nonmelanoma skin cancers (squamous cell carcinoma and basal cell carcinoma), and actinic keratoses was compared between vitiligo cases and controls using Cox regression. A total of 15,156 vitiligo cases were matched to 60,615 controls. Vitiligo was associated with a 38% reduced risk of new-onset skin cancer (adjusted hazard ratio [aHR] = 0.62, 95% confidence interval [CI] = 0.52-0.75, P < 0.001) and skin cancer subtypes; melanoma (aHR = 0.39, 95% CI = 0.23-0.65, P < 0.001), squamous cell carcinoma (aHR = 0.67, 95% CI = 0.49-0.90, P < 0.01), basal cell carcinoma (aHR = 0.65, 95% CI = 0.51-0.83, P < 0.001). There was no significant association for actinic keratosis (aHR = 0.88, 95% CI = 0.77-1.01). People with vitiligo have a markedly reduced incidence of melanoma and nonmelanoma skin cancer. Given concerns that some treatments, such as phototherapy, may increase skin cancer risk, this finding provides reassurance to people with vitiligo and clinicians managing the condition.

Comparison of SIREN social needs screening tools and Simplified Omaha System Terms: informing an informatics approach to social determinants of health assessments

OBJECTIVE

Numerous studies indicate that the social determinants of health (SDOH), conditions in which people work, play, and learn, account for 30%-55% of health outcomes. Many healthcare and social service organizations seek ways to collect, integrate, and address the SDOH. Informatics solutions such as standardized nursing terminologies may facilitate such goals. In this study, we compared one standardized nursing terminology, the Omaha System, in its consumer-facing form, Simplified Omaha System Terms (SOST), to social needs screening tools identified by the Social Interventions Research and Evaluation Network (SIREN).

MATERIALS AND METHODS

Using standard mapping techniques, we mapped 286 items from 15 SDOH screening tools to 335 SOST challenges. The SOST assessment includes 42 concepts across 4 domains. We analyzed the mapping using descriptive statistics and data visualization techniques.

RESULTS

Of the 286 social needs screening tools items, 282 (98.7%) mapped 429 times to 102 (30.7%) of the 335 SOST challenges from 26 concepts in all domains, most frequently from Income, Home, and Abuse. No single SIREN tool assessed all SDOH items. The 4 items not mapped were related to financial abuse and perceived quality of life.

DISCUSSION

SOST taxonomically and comprehensively collects SDOH data compared to SIREN tools. This demonstrates the importance of implementing standardized terminologies to reduce ambiguity and ensure the shared meaning of data.

CONCLUSIONS

SOST could be used in clinical informatics solutions for interoperability and health information exchange, including SDOH. Further research is needed to examine consumer perspectives regarding SOST assessment compared to other social needs screening tools.

Evaluation of Experiences and Attitudes of Patients Towards Patient Portal-Enabled Access to Their Health Information or Medical Records: A Qualitative Grounded Theory Study

The demand for patient-centred care and patient engagement in their healthcare has driven patient portal introduction. The widespread adoption and use of patient portals, however, has been a rather slow process in the United Kingdom. Hence, a limited number of studies have explored patient perceptions and experiences of general portal use, which forms a foundation for successful implementation of a portal. This study, therefore, focuses on the experiences and attitudes of patients regarding use of patient portals and access to their health information. It further explores various factors perceived by patients that may influence portal use and uptake. The overall findings from this study highlight positive patient perceptions of portal use. Nevertheless, it demonstrates various areas of improvement essential to ensure future success of portal implementation and acceptance.

Comparison of average Water Equivalent diameter values between CTContour and vendor-specific estimates in CT dosimetry

PURPOSE

This study aimed to compare the average Water Equivalent Diameter (WED) values obtained from CTContour, an open-source program for Size-Specific Dose Estimate (SSDE) and WED calculation, and vendor-specific values provided by Philips scanners.

METHODS

A random sample of 50 adult and 50 paediatric abdomen-pelvis protocol CT images from Philips scanners were chosen at our Hospital and analysed using CTContour, and extracting average WED values from Philips from the images DICOM headers. The average WED values from the two methods were compared via Bland-Altman analysis to assess their agreement and reliability.

RESULTS

The average WED values obtained from CTContour were found to be slightly lower than those obtained from the vendor-specific calculations, with mean disagreements of -5.62% and -2.88% for the adult and paediatric datasets, respectively, with both methods providing clinically acceptable estimations of average WED. There was no statistically significant correlation between body habitus and the level of disagreement between methods.

CONCLUSIONS

This study demonstrates that CTContour can provide average WED measurements comparable to the vendor-specific calculations for SSDE and WED in CT dosimetry. Differences between programs are likely due to inherent differences in the methods employed to estimate WED automatically. Further research is warranted to validate these results for additional CT protocols beyond abdomen-pelvis studies.

Assessing national patterns and outcomes of pituitary surgery: is hospital administrative data good enough?

PURPOSE

Patterns of surgical care, outcomes, and quality of care can be assessed using hospital administrative databases but this requires accurate and complete data. The aim of this study was to explore whether the quality of hospital administrative data was sufficient to assess pituitary surgery practice in England.

METHODS

The study analysed Hospital Episode Statistics (HES) data from April 2013 to March 2018 on all adult patients undergoing pituitary surgery in England. A series of data quality indicators examined the attribution of cases to consultants, the coding of sellar and parasellar lesions, associated endocrine and visual disorders, and surgical procedures. Differences in data quality over time and between neurosurgical units were examined.

RESULTS

A total of 5613 records describing pituitary procedures were identified. Overall, 97.3% had a diagnostic code for the tumour or lesion treated, with 29.7% (n = 1669) and 17.8% (n = 1000) describing endocrine and visual disorders, respectively. There was a significant reduction from the first to the fifth year in records that only contained a pituitary tumour code (63.7%-47.0%, p < .001). The use of procedure codes that attracted the highest tariff increased over time (66.4%-82.4%, p < .001). Patterns of coding varied widely between the 24 neurosurgical units.

CONCLUSION

The quality of HES data on pituitary surgery has improved over time but there is wide variation in the quality of data between neurosurgical units. Research studies and quality improvement programmes using these data need to check it is of sufficient quality to not invalidate their results.

The promise of data science for health research in Africa

Data science health research promises tremendous benefits for African populations, but its implementation is fraught with substantial ethical governance risks that could thwart the delivery of these anticipated benefits. We discuss emerging efforts to build ethical governance frameworks for data science health research in Africa and the opportunities to advance these through investments by African governments and institutions, international funding organizations and collaborations for research and capacity development.

Health information exchange network under collaboration, cooperation, and competition: A game-theoretic approach

Health Information Exchange (HIE) network allows securely accessing and sharing healthcare-related information among healthcare providers (HCPs) and payers. HIE services are provided by a non-profit/profit organizations under several subscription plans options. A few studies have addressed the sustainability of the HIE network such that HIE providers, HCPs, and payers remain profitable in the long term. However, none of these studies addressed the coexistence of multiple HIE providers in the network. Such coexistence may have a huge impact on the behavior of healthcare systems in terms of adoption rate and HIE pricing strategies. In addition, in spite of all the effort to maintain cooperation between HIE providers, there is still a chance of competition among them in the market. Possible competition among service providers leads to many concerns about the HIE network sustainability and behavior. In this study, a game-theoretic approach to model the HIE market is proposed. Game-theory is used to simulate the behavior of the three different HIE network agents in the HIE market: HIE providers, HCPs, and payers. Pricing strategies and adoption decisions are optimized using a Linear Programming (LP) mathematical model. Results show that the relation between HIEs in the market is crucial to HCP/Payer adoption decision specially to small HCPs. A small change in the discount rate proposed by a competitive HIE provider will highly affect the decision of HCP/payers to join the HIE network. Finally, competition opened the opportunity for more HCPs to join the network due to reduced pricing. Furthermore, collaborative HIEs provided better performance compared to cooperative in terms of profit and HCP adoption rate by sharing their overall costs and revenues.

Investigating the Predictors of Telemedicine Service Usage Intention in China During the COVID-19 Pandemic: An Extended Technology Acceptance Perspective

Introduction: In China, digital health and telemedicine services grew particularly rapidly during the COVID-19 pandemic. The goal of this study was to examine the effects of technology acceptance model (TAM) predictors, previous social media health service exposure, and telemedicine experience on individual telemedicine service usage intention within the extended theoretical framework of TAM and TAM2. Methods: The study adopted a cross-sectional survey to collect data (N = 1,088) through a Chinese online panel provider (wenjuan.com). Structural equation modeling was performed to examine relationships between the variables in the proposed model. Results: Our results indicated that technology anxiety (TA) was negatively related to perceived ease of use (PEOU) and usage intention. PEOU mediated the relationship between TA and usage intention. Social media health information consumption was positively associated with perceived usefulness (PU). Previous telemedicine satisfaction was positively related to PEOU and PU, but the direct relationship between satisfaction with telemedicine and usage intention was not found to be significant. Besides, PEOU and PU mediated the relationship between previous telemedicine satisfaction and usage intention. Conclusions: Findings of the study not only contribute to literature pertaining to telemedicine promotion by identifying important mediation relationships but also help identify potential users and provide a convenient internet-based promotion channel since they reveal that social media health information consumption is positively related to PU of telemedicine services.

Challenges in last mile distribution of family planning commodities: Effects on product availability and accessibility in Nigeria

BACKGROUND

Family planning (FP) reduces maternal and child mortality risk. Despite policies and plans to improve FP in Nigeria, access remains poor leading to high unmet need. Contraceptive use is still as low as 4.9% in some regions. Thus, this study assessed challenges in FP commodities distribution and its effect on accessibility.

METHODS

Descriptive survey was used to explore last mile distribution of FP commodities in 287 facilities across various levels of FP service provision. Also, 2528 end users of FP services were assessed to ascertain their attitudes towards FP services. Data were analysed using IBM Statistical Package for the Social Sciences version 25.

RESULTS

Only 16% of the facilities had all the basic infrastructure requirements assessed with majority of the facilities having inadequate human resource capacity on logistics and supply chain management of health commodities. The study also identified positive attitudes towards FP (80%) and low incidence of stigmatising attitudes (5.4%).

CONCLUSIONS

The study identified challenges in distribution of FP commodities including frequent stock out of commodities and socio-cultural barriers. Increased positive attitude and limited stigmatising attitudes provides policy directions that are relevant for decision makers to align FP policies and strategies to improve last mile distribution of FP commodities.

UK research data resources based on primary care electronic health records: review and summary for potential users

BACKGROUND

The range and scope of electronic health record (EHR) data assets in the UK has recently increased, which has been mainly in response to the COVID-19 pandemic. Summarising and comparing the large primary care resources will help researchers to choose the data resources most suited to their needs.

AIM

To describe the current landscape of UK EHR databases and considerations of access and use of these resources relevant to researchers.

DESIGN & SETTING

Narrative review of EHR databases in the UK.

METHOD

Information was collected from the Health Data Research Innovation Gateway, publicly available websites and other published data, and from key informants. The eligibility criteria were population-based open-access databases sampling EHRs across the whole population of one or more countries in the UK. Published database characteristics were extracted and summarised, and these were corroborated with resource providers. Results were synthesised narratively.

RESULTS

Nine large national primary care EHR data resources were identified and summarised. These resources are enhanced by linkage to other administrative data to a varying extent. Resources are mainly intended to support observational research, although some can support experimental studies. There is considerable overlap of populations covered. While all resources are accessible to bona fide researchers, access mechanisms, costs, timescales, and other considerations vary across databases.

CONCLUSION

Researchers are currently able to access primary care EHR data from several sources. Choice of data resource is likely to be driven by project needs and access considerations. The landscape of data resources based on primary care EHRs in the UK continues to evolve.

Are older adults considered in asthma and chronic obstructive pulmonary disease mobile health research? A scoping review

BACKGROUND

The use of mobile health (mHealth) for asthma and chronic obstructive pulmonary disease (COPD) is rapidly growing and may help address the complex respiratory care needs of our ageing population. However, little is currently known about how airways mHealth is developed and used among older adults (≥65 years).

OBJECTIVE

To identify if and how older adults with asthma and COPD have been incorporated across the mHealth research cycle.

METHODS

We searched Ovid MEDLINE, EMBASE, CINAHL and the Cochrane Central Registry of Controlled Trials for studies pertaining to the development or evaluation of asthma and COPD mHealth for adults published after 2010. Study, participant and mHealth details, including any considerations of older age, were extracted, synthesised and charted.

RESULTS

A total of 334 studies of 191 mHealth tools were identified. Adults ≥65 years old were included in 33.3% of asthma mHealth studies and 85.3% of COPD studies. Discussions of older age focused on barriers to technology use. Methodologic and/or analytic considerations of older age were mostly absent throughout the research cycle. Among the 28 instances quantitative age-related analyses were detailed, 12 described positive mHealth use and satisfaction outcomes in older adults versus negative or equivocal outcomes.

CONCLUSION

We identified an overall lack of consideration for older age throughout the airways mHealth research cycle, even among COPD mHealth studies that predominantly included older adults. We also found a contrast between the perceptions of how older age might negatively influence mHealth use and available quantitative evaluations. Future airways mHealth research must better integrate the needs and concerns of older adults.

Using multiple qualitative methods to inform intervention development: Improving functional status measurement for older veterans in primary care settings

Functional status, or the ability to perform activities of daily living, is central to older adults' health and quality of life. However, health systems have been slow to incorporate routine measurement of function into patient care. We used multiple qualitative methods to develop a patient-centered, interprofessional intervention to improve measurement of functional status for older veterans in primary care settings. We conducted semi-structured interviews with patients, clinicians, and operations staff (n = 123) from 7 Veterans Health Administration (VHA) Medical Centers. Interviews focused on barriers and facilitators to measuring function. We used concepts from the Consolidated Framework for Implementation Science and sociotechnical analysis to inform rapid qualitative analyses and a hybrid deductive/inductive approach to thematic analysis. We mapped qualitative findings to intervention components. Barriers to measurement included time pressures, cumbersome electronic tools, and the perception that measurement would not be used to improve patient care. Facilitators included a strong interprofessional environment and flexible workflows. Findings informed the development of five intervention components, including (1) an interprofessional educational session; (2) routine, standardized functional status measurement among older patients; (3) annual screening by nurses using a standardized instrument and follow-up assessment by primary care providers; (4) electronic tools and templates to facilitate increased identification and improved management of functional impairment; and (5) tailored reports on functional status for clinicians and operations leaders. These findings show how qualitative methods can be used to develop interventions that are more responsive to real-world contexts, increasing the chances of successful implementation. Using a conceptually-grounded approach to intervention development has the potential to improve patient and clinician experience with measuring function in primary care.

Children and Young Adults With Inflammatory Bowel Disease Have an Increased Incidence and Risk of Developing Mental Health Conditions: A UK Population-Based Cohort Study

BACKGROUND

The burden of mental health conditions in children and young adults with inflammatory bowel disease remains unclear. We assessed this using a primary care database in the United Kingdom.

METHODS

A retrospective, observational study compared children and young adults with incident inflammatory bowel disease 5 to 25 years of age (2010-2020) against population control subjects. Outcomes comprised incident depression, anxiety disorder, eating disorders, body image disorders, attention-deficit disorders, behavioral disorders, adjustment disorders, acute stress disorder, schizophrenia, bipolar disorder, posttraumatic stress disorder, self-harm, parasuicide (including suicide), and sleep disturbance. The any mental health condition category comprised any of these conditions.

RESULTS

A total of 3898 young patients with incident inflammatory bowel disease were matched to 15 571 control subjects. Inflammatory bowel disease patients were significantly more likely to develop new posttraumatic stress disorder (adjusted hazard ratio [aHR], 2.47; 95% confidence interval [CI], 1.23-4.94), eating disorders (aHR, 1.85; 95% CI, 1.05-3.26), self-harm (aHR, 1.49; 95% CI, 1.00-2.21), sleep disturbance (aHR, 1.40; 95% CI, 1.15-1.71), depression (aHR, 1.34; 95% CI, 1.16- 1.56), anxiety (aHR, 1.25; 95% CI, 1.06-1.48), and any mental health condition (aHR, 1.28; 95% CI, 1.12-1.46). Male inflammatory bowel disease patients aged 12 to 17 years, and patients with Crohn's disease appear to have the highest risk for developing new mental health conditions.

CONCLUSIONS

Young inflammatory bowel disease patients have a significantly higher incidence and risk of new mental health conditions. Mental health remains a critically overlooked aspect of inflammatory bowel disease patient management. Further research into identifying optimal monitoring tools and support for these patients is required to improve patient care. The study protocol was specified and registered a priori.ClinicalTrials.gov study identifier: NCT05206734.

A framework for elderly participation in Primary Health Care in Tabriz Health complexes

BACKGROUND

A framework for increasing elderly participation in Primary Health Care (PHC) is a vital issue considering the growing population. After examining the situation and elderly participation in the provision of PHC in the health complexes of Tabriz City, the present study presents the framework of elderly participation in PHC.

METHODS

This is a mixed-method study. First, we reviewed the models of elderly participation in PHC worldwide using a comprehensive search of literature. Then, we extracted the service providers' and the elderly's views regarding the obstacles and solutions for the elderly participation in PHC in Iran using the interviews and focus group discussions (FGD). We conducted three FGDs (8-10 people) and seven individual interviews. Data were analyzed using the content analysis method. We developed the proposed framework for the participation of the elderly in PHC using a panel of experts and checked and confirmed the framework's validity using the Delphi technique with 11 experts from the content validity index and modified kappa coefficient.

RESULTS

Based on the result of included studies in the systematic review, the characteristics of the participation models were classified into five areas: the characteristics of the service user, the main facilitator of the intervention, the type of ownership of the center, the subject and the method of participation. The solutions and obstacles, and problems presented by the service providers and users in different areas include 12 themes (elderly participation, home care, and self-care, respect for the elderly, cooperation of different organizations, service package for the elderly, referral system, planning for the elderly, considering insurance for the elderly, the role of informing the elderly, mental health of the elderly, physical space of centers and training of elderly caregivers) and 46 sub-themes. The final framework also includes five themes (approaches and strategies to attract participation, indicators, and consequences of participation of the elderly, implementation strategies of elderly care, implementation infrastructure and goals and areas of participation of the elderly) and sub-themes.

CONCLUSION

The results of the study indicate that the final framework obtained should be used based on a systematic model for elderly participation in PHC and should be implemented and followed up based on local strategies and specific indicators, considering all capacities.

Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis

Background

Unwarranted extended length of stay (LOS) increases the risk of hospital-acquired complications, morbidity, and all-cause mortality and needs to be recognized and addressed proactively.

Objective

This systematic review aimed to identify validated prediction variables and methods used in tools that predict the risk of prolonged LOS in all hospital admissions and specifically General Medicine (GenMed) admissions.

Method

LOS prediction tools published since 2010 were identified in five major research databases. The main outcomes were model performance metrics, prediction variables, and level of validation. Meta-analysis was completed for validated models. The risk of bias was assessed using the PROBAST checklist.

Results

Overall, 25 all admission studies and 14 GenMed studies were identified. Statistical and machine learning methods were used almost equally in both groups. Calibration metrics were reported infrequently, with only 2 of 39 studies performing external validation. Meta-analysis of all admissions validation studies revealed a 95% prediction interval for theta of 0.596 to 0.798 for the area under the curve. Important predictor categories were co-morbidity diagnoses and illness severity risk scores, demographics, and admission characteristics. Overall study quality was deemed low due to poor data processing and analysis reporting.

Conclusion

To the best of our knowledge, this is the first systematic review assessing the quality of risk prediction models for hospital LOS in GenMed and all admissions groups. Notably, both machine learning and statistical modeling demonstrated good predictive performance, but models were infrequently externally validated and had poor overall study quality. Moving forward, a focus on quality methods by the adoption of existing guidelines and external validation is needed before clinical application.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42021272198.

The use and effects of telemedicine on complementary, alternative, and integrative medicine practices: a scoping review

BACKGROUND

Telemedicine includes the delivery of health-care services and sharing of health information across distances. Past research has found that telemedicine can play a role in enhancing complementary, alternative, and integrative medicine (CAIM) while allowing the maintenance of cultural values and ancestral knowledge. This scoping review synthesized evidence regarding the use of telemedicine in the context of CAIM.

METHODS

Following Arksey and O'Malley's scoping review framework, CINAHL, PsycINFO, MEDLINE, EMBASE and AMED databases were searched systematically. The CADTH website was also searched for grey literature. Eligible articles included a CAIM practice or therapy offered through telemedicine, with no restrictions placed on the type of telemedicine technology used. Inductive thematic analysis was conducted to synthesise common themes among the included studies.

RESULTS

Sixty-two articles were included in this synthesis. The following themes emerged: 1) the practitioner view of CAIM delivered through telemedicine, 2) the patient view of CAIM delivered through telemedicine, and 3) the technological impacts of telemedicine delivery of CAIM.

CONCLUSIONS

Studies have shown that telemedicine delivery of CAIM is feasible, acceptable, and results in positive health outcomes. Some barriers remain such as the presence of chronic illness and morbidity, inability to form strong patient-provider relationships relative to face-to-face approaches, and technological difficulties. Future intervention research should focus on reducing such barriers, as well as explore which patient population would realize the greatest benefit from CAIM delivered via telemedicine, and the impact of interventions on providers and caregivers.

Recognition, diagnostic practices, and cancer outcomes among patients with unintentional weight loss (UWL) in primary care

OBJECTIVES

Identify the incidence, rate of physician recognition, diagnostic practices and cancer outcomes for unintentional weight loss (UWL).

METHODS

We completed a secondary analysis of structured and unstructured EHR data collected from adult patients between January 1, 2020 and December 31, 2021. We used four common definitions to define UWL, excluding patients with known causes of weight loss, intentional weight loss, and pregnancy. Unstructured physicians' notes were used to identify both intentional weight loss (e.g. dieting) as well as physician recognition of UWL. Cancer outcomes were identified within 12 months of UWL using diagnostic codes. Physician actions (lab tests, etc.) in response to UWL were identified through manual chart review.

RESULTS

Among 29,494 established primary care patients with a minimum of two weight measurements in 2020 and in 2021, we identified 290 patients who met one or more criteria for UWL (1 %). UWL was recognized by physicians in only 60 (21 %). UWL was more common and more likely to be recognized among older patients. Diagnostic practices were quite variable. A complete blood count, complete metabolic profile, and thyroid stimulating hormone level were the three most common tests ordered in response to UWL. Five patients were diagnosed with cancer within 12 months of UWL (3 in whom UWL was recognized; two in whom it was not.).

CONCLUSIONS

Unintentional weight loss is poorly recognized across a diverse range of patients. A lack of research-informed guidance may explain both low rates of recognition and variability in diagnostic practices.

An Assessment of Patient Portal Messaging Use by Patients With Multiple Chronic Conditions Living in Rural Communities: Retrospective Analysis

BACKGROUND

Patient portals can facilitate the delivery of health care services and support self-management for patients with multiple chronic conditions. Despite their benefits, the evidence of patient portal use among patients with multimorbidity in rural communities is limited.

OBJECTIVE

This study aimed to explore the factors associated with portal messaging use by rural patients.

METHODS

We assessed patient portal use among patients with ≥1 chronic diagnoses who sent or received messages via the Epic MyChart (Epic Systems Corporation) portal between January 1, 2015, and November 9, 2021. Patient portal use was defined as sending or receiving a message through the portal during the study period. We fit a zero-inflated negative binomial model to predict portal use based on the patient's number of chronic conditions, sex, race, age, marital status, and insurance type. County-level characteristics, based on the patient's home address, were also included in the model to assess the influence of community factors on portal use. County-level factors included educational attainment, smartphone ownership, median income, and primary care provider density.

RESULTS

A total of 65,178 patients (n=38,587, 59.2% female and n=21,454, 32.92% Black) were included in the final data set, of which 38,380 (58.88%) sent at least 1 message via the portal during the 7-year study period. As the number of chronic diagnoses increased, so did portal messaging use; however, this relationship was driven primarily by younger patients. Patients with 2 chronic conditions were 1.57 times more likely to send messages via the portal than those with 1 chronic condition (P<.001). In comparison, patients with ≥7 chronic conditions were approximately 11 times more likely to send messages than patients with 1 chronic condition (P<.001). A robustness check confirmed the interaction effect of age and the number of diagnoses on portal messaging. In the model including only patients aged <65 years, there was a significant effect of increased portal messaging corresponding to the number of chronic conditions (P<.001). Conversely, this relationship was not significant for the model consisting of older patients. Other significant factors associated with increased portal use include being female; White; married; having private insurance; and living in an area with a higher average level of educational attainment, greater medical provider density, and a lower median income.

CONCLUSIONS

Patients' use of the portal to send messages to providers was incrementally related to their number of diagnoses. As the number of chronic diagnoses increased, so did portal messaging use. Patients of all ages, particularly those living in rural areas, could benefit from the convenience and cost-effectiveness of portal communication. Health care systems and providers are encouraged to increase the use of patient portals by implementing educational interventions to promote the advantages of portal communication, particularly among patients with multimorbidity.

Experiences of Peer Communities in a Cancer Smartphone App Among Adolescents and Young Adults With Cancer

OBJECTIVES

Adolescents and young adults (AYAs) with cancer have identified connection to online communities of same-age peers to be essential for psycho-social support. In this study, the aim was to explore AYAs with cancers' and AYA cancer survivors' use of the Kræftværket cancer app's social forum and experiences of peer communities in the forum. Differences due to gender and treatment status were investigated.

DATA SOURCES

In all, 85 AYAs aged 15-29 were recruited: 46 on and 39 off cancer treatment. The use of the social forum was assessed by a questionnaire, which were analyzed using descriptive statistics, and telephone interviews were analyzed thematically by the Framework Method.

CONCLUSION

Some AYAs assessed the social forum to be more valuable at time of diagnosis, while others experienced meaningful peer-support after cancer. Women were more active and diligent users than men. The following themes were found: 1) Common understanding of each other's challenges; 2) Other AYAs' stories increase the feeling of comfort but can also be difficult to accommodate; 3) A temporary and unwanted community; and 4) The interaction is personal but quickly stalls.

IMPLICATIONS FOR NURSING PRACTICE

The results are relevant to the development of AYA cancer apps, with a view to strengthening peer-to-peer relationships. Although the use of the Kræftværket app was temporary, it presented a meaningful community for AYAs with cancer. The community feeling reduced loneliness and increased the sense of togetherness. The app met AYAs' needs and wishes for peer-to-peer age-appropriate cancer support, which can be implemented and provided by nurses.

The demographic features of fatigue in the general population worldwide: a systematic review and meta-analysis

Background

Fatigue is one of the most common subjective symptoms that impairs daily life and predict health-related events. This study aimed to estimate the prevalence of fatigue in the global population.

Methods

PubMed and the Cochrane Library were used to search for relevant articles from inception to December 31, 2021. Studies with prevalence data of fatigue in the general population were selected and reviewed by three authors independently and cross-checked. Regarding subgroups, adults (≥18 years), minors (<18 years), and specific occupation population (participants in each study being limited to a specific occupational group), and fatigue types and severity, meta-analysis was conducted to produce point estimates and 95% confidence intervals (95% CI).

Results

From the initial 3,432 studies, 91 studies accounting for 115 prevalence data points (623,624 participants) were finally selected. The prevalence of general fatigue (fatigue lasting < 6 months, or fatigue of unspecified duration) was 20.4% (95% CI, 16.7-25.0) in adults, 11.7% (95% CI, 5.2-26.6) in minors, and 42.3% (95% CI, 33.0-54.2) in specific occupations. Chronic fatigue (fatigue lasting more than 6 months) affected 10.1% (95% CI, 8.2-12.5) of adults, 1.5% (95% CI, 0.5-4.7) of minors, and 5.5% (95% CI, 1.4-21.6) of subjects in specific occupations. There was an overall female-predominant prevalence for all subgroup analyses, with a total odds ratio of 1.4 (95% CI, 1.3-1.6). Regarding the severity and presence of medical causes, the total prevalence of moderate fatigue [14.6% (95% CI, 9.8-21.8)] was 2.4-fold that of severe fatigue [6.1% (95% CI, 3.4-11.0)], while unexplained fatigue (fatigue experienced by individuals without any underlying medical condition that can explain the fatigue) was ~2.7-fold that of explained fatigue (fatigue experienced by individuals with a medical condition that can explain the fatigue); as proportion of 40.0% of physical, 8.6% of mental, and 28.4% of mixed cause.

Conclusions

This study has produced the first comprehensive picture of global fatigue prevalence in the general population, which will provide vital reference data contributing to fatigue-related research, including the prevention of diseases.

Systematic review registration

Identifier: CRD42021270498.

Application of telemedicine system on the management of general patient in quarantine

To limit the epidemic of COVID-19, most countries and regions have adopted the policy of quarantine, providing an opportunity for the development of telemedicine. This study aims to develop a telemedicine system within a quarantined district and validate its effectiveness and safety in managing a variety of diseases within the population. Appling the private network and specialized set, telemedicine system and service process were constructed in the quarantine district. Based on the patients' conditions, the staffs supplied kinds of medical service for the patients in the quarantine district. The basic characteristics and results of patients in the quarantine area who used telemedicine system during January to September 2022 were statistically analyzed. Within this period, 2410 cases were included in this study, among which, 1803 patients directly saw a doctor by the Internet hospital in the Internet hospital of telemedicine system, 607 patients used telemedicine system, 166 patients achieved referral to a specific hospital via telemedicine system, and 162 cases made further consultation, with no infection cases in the quarantine zone and no death cases. The six most occurred diseases were respiratory disease (20.6%), ophthalmology and otorhinolaryngology (12.9%), cardiovascular diseases (12.7%), digestive system disease (12.5%), dermatological diseases (10.6%), and metabolic and endocrine diseases (7.6%). The top three referred cases were obstetric diseases (19.3%), others (12.0%) and respiratory disease (10.2%). There were statistically significant differences between the diseases of the cases using telemedicine system with and without referral (P < 0.001). It is feasible, effective and efficient to construct and use telemedicine system in quarantine area. It is an approach to manage many patients by indirectly contact. With the solution of follow-up related problems and the application of novel technologies, telemedicine may usher in greater development.

Examining the Effectiveness, Acceptability, and Feasibility of Virtually Delivered Trauma-Focused Domestic Violence and Sexual Violence Interventions: A Rapid Evidence Assessment

The COVID-19 pandemic has forced a rapid shift to virtual delivery of treatment and care to individuals affected by domestic violence and sexual violence. A rapid evidence assessment (REA) was undertaken to examine the effectiveness, feasibility and acceptability of trauma-focused virtual interventions for persons affected by domestic violence and sexual violence. The findings from this review will provide guidance for service providers and organizational leaders with the implementation of virtual domestic violence and sexual violence-focused interventions. The REA included comprehensive search strategies and systematic screening of and relevant articles. Papers were included into this review (1) if they included trauma-focused interventions; (2) if the intervention was delivered virtually; and (3) if the article was published in the English-language. Twenty-one papers met inclusion criteria and were included for analysis. Findings from the rapid review demonstrate that virtual interventions that incorporate trauma-focused treatment are scarce. Online interventions that incorporate trauma-focused treatment for this at-risk group are limited in scope, and effectiveness data are preliminary in nature. Additionally, there is limited evidence of acceptability, feasibility and effectiveness of virtual interventions for ethnically, culturally, and linguistically diverse populations experiencing domestic violence and sexual violence. Accessing virtual interventions was also highlighted as a barrier to among participants in studies included in the review. Despite the potential of virtual interventions to respond to the needs of individuals affected by domestic violence and/or sexual violence, the acceptability and effectiveness of virtual trauma-focused care for a diverse range of populations at risk of violence are significantly understudied.

Efficacy and Safety of Oral Anticoagulants in Older Adult Patients With Atrial Fibrillation: Pairwise and Network Meta-Analyses

OBJECTIVE

To evaluate the efficacy and safety of oral anticoagulants for older adult patients with atrial fibrillation (AF).

DESIGN

Pairwise and network meta-analyses.

SETTING AND PARTICIPANTS

Patients with AF aged ≥75 years.

METHODS

PubMed, Embase, and the Cochrane library were searched for published randomized controlled trials and adjusted observational studies evaluating the use of a non-vitamin K antagonist oral anticoagulants (NOACs), vitamin K antagonist, or antiplatelet drug for the prevention of stroke. The primary efficacy and safety outcomes were the composite of stroke and systemic embolism (SSE) and major bleedings.

RESULTS

This study included 38 studies enrolling 1,022,908 older adult patients with AF. Results from pairwise meta-analyses showed that NOACs were superior to warfarin for all outcomes, except that dabigatran increased the risk of gastrointestinal (GI) bleedings. Aspirin was associated with a higher risk of SSE and ischemic stroke than warfarin or NOACs. Results of network meta-analyses indicated that apixaban significantly reduced the risk of SSE, major bleedings, and GI bleedings than warfarin, rivaroxaban, and dabigatran. Apixaban, edoxaban, rivaroxaban, and dabigatran reduced the risk of ischemic stroke and intracranial bleeding compared to warfarin. Dabigatran showed lower risk of all-cause mortality than warfarin and of intracranial bleeding than rivaroxaban.

CONCLUSIONS AND IMPLICATIONS

NOACs are of at least equal efficacy, or even superior to warfarin. The safety profile of individual NOAC agents was significantly different, as apixaban performs better than the other oral anticoagulants in reducing major bleeding and GI bleeding, whereas dabigatran increased the risk of GI bleeding.

The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study

BACKGROUND

Molecular point-of-care testing (POCT) used in primary care can inform whether a patient presenting with an acute respiratory infection has influenza. A confirmed clinical diagnosis, particularly early in the disease, could inform better antimicrobial stewardship. Social distancing and lockdowns during the COVID-19 pandemic have disturbed previous patterns of influenza infections in 2021. However, data from samples taken in the last quarter of 2022 suggest that influenza represents 36% of sentinel network positive virology, compared with 24% for respiratory syncytial virus. Problems with integration into the clinical workflow is a known barrier to incorporating technology into routine care.

OBJECTIVE

This study aims to report the impact of POCT for influenza on antimicrobial prescribing in primary care. We will additionally describe severe outcomes of infection (hospitalization and mortality) and how POCT is integrated into primary care workflows.

METHODS

The impact of POCT for influenza on antimicrobial stewardship (PIAMS) in UK primary care is an observational study being conducted between December 2022 and May 2023 and involving 10 practices that contribute data to the English sentinel network. Up to 1000 people who present to participating practices with respiratory symptoms will be swabbed and tested with a rapid molecular POCT analyzer in the practice. Antimicrobial prescribing and other study outcomes will be collected by linking information from the POCT analyzer with data from the patient's computerized medical record. We will collect data on how POCT is incorporated into practice using data flow diagrams, unified modeling language use case diagrams, and Business Process Modeling Notation.

RESULTS

We will present the crude and adjusted odds of antimicrobial prescribing (all antibiotics and antivirals) given a POCT diagnosis of influenza, stratifying by whether individuals have a respiratory or other relevant diagnosis (eg, bronchiectasis). We will also present the rates of hospital referrals and deaths related to influenza infection in PIAMS study practices compared with a set of matched practices in the sentinel network and the rest of the network. We will describe any difference in implementation models in terms of staff involved and workflow.

CONCLUSIONS

This study will generate data on the impact of POCT testing for influenza in primary care as well as help to inform about the feasibility of incorporating POCT into primary care workflows. It will inform the design of future larger studies about the effectiveness and cost-effectiveness of POCT to improve antimicrobial stewardship and any impact on severe outcomes.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/46938.

Development of a Smart Home Interface With Older Adults: Multi-Method Co-Design Study

BACKGROUND

Smart home technologies have the potential to support aging in place; however, older people's perceptions of the value of smart homes may be influenced by their access to the information gathered by the technology. This information is needed to support their informed decision-making. Limited research has been conducted on how best to design visualizations of smart home data in keeping with the needs and wishes of older people.

OBJECTIVE

We aimed to investigate the design options that impact the usefulness of smart home systems, older people's information needs, their perceptions of data visualization, and the ways they would like information displayed to them.

METHODS

We used a qualitative approach to empower the participants as co-designers. Data collection comprised a sequence of methods such as interviews, observation, focus groups, scenario design, probes, and design workshops. Each phase informed the next. Overall, 13 older adults (n=8, 62% female and n=5, 38% male; aged 65-89 years) consented to participate. A thematic approach was used to analyze the data set, and participants were actively involved in designing the in-home interface, which enabled them to better conceptualize their needs.

RESULTS

The information collected was clustered into 5 themes: enabling home, health, and self-monitoring; enabling opportunities for social inclusion and engagement; enhancing cognitive abilities; customizability of the display; and promoting inclusion in recreation and leisure activities. These themes informed 5 design sessions in which participants co-designed visual metaphors for the themes based on their own experiences in an age-inclusive manner. Together, the participants produced a user-friendly prototype, which they chose to call My Buddy. They found it useful to receive social and cognitive triggers, as well as recommendations for special diets or activities based on their mood, health, and social status.

CONCLUSIONS

Smart home data visualization is much more than a nice-to-have option. Visualization is a must-have feature because it deepens the understanding of the information collected and means that technology provides information of value and relevance to older people. This may improve the acceptability and perceived utility of in-home technology. By understanding what older people want to know from smart home technology and considering how to visualize data in ways that work for them, we can provide an appropriate in-home interface. Such an interface would suggest ways or opportunities to connect and socialize; stimulate contact with close friends or family members; maintain awareness of health and well-being; provide support in decision-making, cognitive tasks, and daily life activities; and monitor health status. Older adults are the best co-designers for the development of visual metaphors that resonate with their own experiences. Our findings promote the development of technologies that foreground and reflect the information needs of older people and engage them as designers of the display.

An investigation into the use of smart home devices, user preferences, and impact during COVID-19

With the goal of designing smart environments that can support users' physical/mental well-being, we studied users' experiences and different factors that can influence success of smart home devices through an online study conducted during and after the COVID-19 restrictions in June 2021 (109 participants) and March 2022 (81 participants). We investigated what motivates users to buy smart home devices, and if smart home devices may have the potential to improve different aspects of users' well-being. As COVID-19 emphasized a situation where people spent a significant amount of time at home in Canada, we also asked if/how COVID-19 motivated purchase of smart-home devices and how these devices affected participants during the pandemic. Our results provide insights into different aspects that may motivate the purchase of smart home devices and users' concerns. The results also suggest that there may be correlations between the use of specific types of devices and psychological well-being.

Comparison of Six Scoring Systems for Predicting In-hospital Mortality among Patients with SARS-COV2 Presenting to the Emergency Department

Background

The study aimed to compare the prognostic accuracy of six different severity-of-illness scoring systems for predicting in-hospital mortality among patients with confirmed SARS-COV2 who presented to the emergency department (ED). The scoring systems assessed were worthing physiological score (WPS), early warning score (EWS), rapid acute physiology score (RAPS), rapid emergency medicine score (REMS), national early warning score (NEWS), and quick sequential organ failure assessment (qSOFA).

Materials and methods

A cohort study was conducted using data obtained from electronic medical records of 6,429 confirmed SARS-COV2 patients presenting to the ED. Logistic regression models were fitted on the original severity-of-illness scores to assess the models' performance using the Area Under the Curve for ROC (AUC-ROC) and Precision-Recall curves (AUC-PR), Brier Score (BS), and calibration plots were used to assess the models' performance. Bootstrap samples with multiple imputations were used for internal validation.

Results

The mean age of the patients was 64 years (IQR:50-76) and 57.5% were male. The WPS, REMS, and NEWS models had AUROC of 0.714, 0.705, and 0.701, respectively. The poorest performance was observed in the RAPS model, with an AUROC of 0.601. The BS for the NEWS, qSOFA, EWS, WPS, RAPS, and REMS was 0.18, 0.09, 0.03, 0.14, 0.15, and 0.11 respectively. Excellent calibration was obtained for the NEWS, while the other models had proper calibration.

Conclusion

The WPS, REMS, and NEWS have a fair discriminatory performance and may assist in risk stratification for SARS-COV2 patients presenting to the ED. Generally, underlying diseases and most vital signs are positively associated with mortality and were different between the survivors and non-survivors.

How to cite this article

Rahmatinejad Z, Hoseini B, Reihani H, Hanna AA, Pourmand A, Tabatabaei SM, et al. Comparison of Six Scoring Systems for Predicting In-hospital Mortality among Patients with SARS-COV2 Presenting to the Emergency Department. Indian J Crit Care Med 2023;27(6):416-425.

Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care

BACKGROUND

Encounter decision aids (EDAs) are tools that can support shared decision making (SDM), up to the clinical encounter. However, adoption of these tools has been limited, as they are hard to produce, to keep up-to-date, and are not available for many decisions. The MAGIC Evidence Ecosystem Foundation has created a new generation of decision aids that are generically produced along digitally structured guidelines and evidence summaries, in an electronic authoring and publication platform (MAGICapp). We explored general practitioners' (GPs) and patients' experiences with five selected decision aids linked to BMJ Rapid Recommendations in primary care.

METHODS

We applied a qualitative user testing design to evaluate user experiences for both GPs and patients. We translated five EDAs relevant to primary care, and observed the clinical encounters of 11 GPs when they used the EDA with their patients. We conducted a semi-structured interview with each patient after the consultation and a think-aloud interview with each GPs after multiple consultations. We used the Qualitative Analysis Guide (QUAGOL) for data analysis.

RESULTS

Direct observations and user testing analysis of 31 clinical encounters showed an overall positive experience. The EDAs created better involvement in decision making and resulted in meaningful insights for patients and clinicians. The design and its interactive, multilayered structure made the tool enjoyable and well-organized. Difficult terminology, scales and numbers hindered understanding of certain information, which was sometimes perceived as too specialized or even intimidating. GPs thought the EDA was not suitable for every patient. They perceived a learning curve was required and the need for time investment was a concern. The EDAs were considered trustworthy as they were provided by a credible source.

CONCLUSIONS

This study showed that EDAs can be useful tools in primary care by supporting actual shared decision making and enhancing patient involvement. The graphical approach and clear representation help patients better understand their options. To overcome barriers such as health literacy and GPs attitudes, effort is still needed to make the EDAs as accessible, intuitive and inclusive as possible through use of plain language, uniform design, rapid access and training.

TRIAL REGISTRATION

The study protocol was approved by the The Research Ethics Committee UZ/KU Leuven (Belgium) on 31-10-2019 with reference number MP011977.

Comparing In-Hospital Mortality Prediction by Senior Emergency Resident's Judgment and Prognostic Models in the Emergency Department

Background

A comparison of emergency residents' judgments and two derivatives of the Sequential Organ Failure Assessment (SOFA), namely, the mSOFA and the qSOFA, was conducted to determine the accuracy of predicting in-hospital mortality among critically ill patients in the emergency department (ED).

Methods

A prospective cohort research was performed on patients over 18 years of age presented to the ED. We used logistic regression to develop a model for predicting in-hospital mortality by using qSOFA, mSOFA, and residents' judgment scores. We compared the accuracy of prognostic models and residents' judgment in terms of the overall accuracy of the predicted probabilities (Brier score), discrimination (area under the ROC curve), and calibration (calibration graph). Analyses were carried out using R software version R-4.2.0.

Results

In the study, 2,205 patients with median age of 64 (IQR: 50-77) years were included. There were no significant differences between the qSOFA (AUC 0.70; 95% CI: 0.67-0.73) and physician's judgment (AUC 0.68; 0.65-0.71). Despite this, the discrimination of mSOFA (AUC 0.74; 0.71-0.77) was significantly higher than that of the qSOFA and residents' judgments. Additionally, the AUC-PR of mSOFA, qSOFA, and emergency resident's judgments was 0.45 (0.43-0.47), 0.38 (0.36-0.40), and 0.35 (0.33-0.37), respectively. The mSOFA appears stronger in terms of overall performance: 0.13 vs. 0.14 and 0.15. All three models showed good calibration.

Conclusion

The performance of emergency residents' judgment and the qSOFA was the same in predicting in-hospital mortality. However, the mSOFA predicted better-calibrated mortality risk. Large-scale studies should be conducted to determine the utility of these models.

Geo-Mapping of the Spatial Accessibility to Public Oral Health Facilities among Schoolchildren in Selangor, Malaysia

Spatial accessibility to health services influences service utilisation and eventually impacts the disease burden. This cross-sectional study analysed the spatial accessibility of schoolchildren to public oral health facilities and school dental services (SDS) and vice versa in Selangor. Overlay and proximity analysis from geo-mapping software was employed to map the primary dental clinics with SDS, the public schools, and the proximity between primary dental clinics with SDS and public schools by travelling distance (5 km, 10 km, 20 km) and travelling time (15 min, 30 min). Over half of the schoolchildren in Selangor are within 5 km of accessibility to primary dental clinics and SDS teams. Meanwhile, nearly half of the primary and secondary schools, particularly in rural areas, are located within a more than 5 km service area of public oral health facilities. The SDS teams have a travel burden of more than 20 km to the public schools in Selangor's northern and north-western districts of large geographical areas. Simultaneously, most public primary and secondary schools are within 15 min of driving time from primary dental clinics. Geo-mapping highlights the inequalities in spatial accessibility to public oral health facilities with SDS among schoolchildren in Selangor. It is time to prioritise the resources, SDS, and preventive programmes to reduce inequalities in oral health accessibility among schoolchildren in Selangor.

The digital future of nursing: making sense of taxonomies and key concepts

Digital technology is becoming increasingly common in routine nursing practice. The adoption of digital technologies such as video calling, and other digital communication, has been hastened by the recent COVID-19 pandemic. Use of these technologies has the potential to revolutionise nursing practice, leading to potentially more accurate patient assessment, monitoring processes and improved safety in clinical areas. This article outlines key concepts related to the digitalisation of health care and the implications for nursing practice. The aim of this article is to encourage nurses to consider the implications, opportunities and challenges associated with the move towards digitalisation and advances in technology. Specifically, this means understanding key digital developments and innovations associated with healthcare provision and appreciating the implications of digitalisation for the future of nursing practice.

Democratising data to address health system inequities in Australia

Understanding the health status of a population or community is crucial to equitable service planning. Among other uses, data on health status can help local and national planners and policy makers understand patterns and trends in current or emerging health and well-being, especially how disparities relating to geography, ethnicity, language and living with disability influence access to services. In this practice paper we draw attention to the nature of Australia's health data challenges and call for greater 'democratisation' of health data to address health system inequities. Democratisation implies the need for greater quality and representativeness of health data as well as improved access and usability that enable health planners and researchers to respond to health and health service disparities efficiently and cost-effectively. We draw on learnings from two practice examples, marred by inaccessibility, reduced interoperability and limited representativeness. We call for renewed and urgent attention to, and investment in, improved data quality and usability for all levels of health, disability and related service delivery in Australia.

Hepatitis B virus infection in general practice across England: An analysis of the Royal College of General Practitioners Research and Surveillance Centre real-world database

OBJECTIVES

We analyzed hepatitis B surface antigen (HBsAg) screening and seropositivity within a network of 419 general practices representative of all regions of England.

METHODS

Information was extracted using pseudonymized registration data. Predictors of HBsAg seropositivity were explored in models that considered age, gender, ethnicity, time at the current practice, practice location and associated deprivation index, and presence of nationally endorsed screen indicators including pregnancy, men who have sex with men (MSM), history of injecting drug use (IDU), close HBV contact or imprisonment, and diagnosis of blood-borne or sexually transmitted infections.

RESULTS

Among 6,975,119 individuals, 192,639 (2.8 %) had a screening record, including 3.6-38.6 % of those with a screen indicator, and 8065 (0.12 %) had a seropositive record. The odds of seropositivity were highest in London, in the most deprived neighborhoods, among minority ethnic groups, and in people with screen indicators. Seroprevalence exceeded 1 % in people from high-prevalence countries, MSM, close HBV contacts, and people with a history of IDU or a recorded diagnosis of HIV, HCV, or syphilis. Overall, 1989/8065 (24.7 %) had a recorded referral to specialist hepatitis care.

CONCLUSIONS

In England, HBV infection is associated with poverty. There are unrealized opportunities to promote access to diagnosis and care for those affected.

The Metaverse for Healthcare: Trends, Applications, and Future Directions of Digital Therapeutics for Urology

In recent years, the emergence of digital therapeutics as a novel approach to managing conditions has garnered significant attention. This approach involves using evidence-based therapeutic interventions that are facilitated by high-quality software programs to treat, manage, or prevent medical conditions. The incorporation of digital therapeutics into the Metaverse has increased the feasibility of their implementation and application in all areas of medical services. In urology, substantial digital therapeutics are being produced and researched, including mobile apps, bladder devices, pelvic floor muscle trainers, smart toilet systems, mixed reality-guided training and surgery, and training and telemedicine for urological consultations. The purpose of this review article is to provide a comprehensive overview of the current impact of the Metaverse on the field of digital therapeutics and identify its current trends, applications, and future perspectives in the field of urology.

Outcomes management practices in tiered school-based speech-language therapy: A Canadian example

BACKGROUND

Measuring, assessing and managing outcomes in school practice environments is difficult due to the complex nature of school communities as well as the recent shift in service-delivery models towards tiered approaches. In tiered approaches, multiple levels of service are offered to better match students' needs. Each level of service may require different outcomes and management techniques. Research to date on outcomes has focused on measuring outcomes in medical settings, leaving a substantive gap in the literature regarding practice in schools.

AIMS

The first aim was to explore how school-based speech-language therapists approached outcomes management as their clinical programmes transitioned to tiered service-delivery models The second aim was to describe the successes and challenges in outcomes management reported by clinicians in this context.

METHODS & PROCEDURES

A secondary deductive-inductive content analysis was performed using qualitative interviews with 24 clinical managers and senior therapists from schools across Ontario, Canada. Using a framework of outcomes measurement, assessment and management in schools based on previous research studies, data were grouped into broad categories deductively, and then the content of each category was further explored using inductive coding. Iterative peer debriefing and reflexive journaling were key strategies to increase the trustworthiness of the results.

FINDINGS & RESULTS

Participants reported measuring and qualitatively assessing seven key outcomes for school-based practice. These included: (1) student progress and achievement, (2) student participation and inclusion in the school community, (3) stakeholder perspectives, (4) 'buy-in', (5) expanded capacities, (6) responsiveness to needs and (7) accountability to systems. Participants reported more challenges than successes in outcomes management during this transition to tiered services. Challenges were attributed to idiosyncratic organizational barriers, the transition to tiered models and the philosophy of working within the educational system.

CONCLUSIONS & IMPLICATIONS

School-based speech-language therapists measure, assess and manage multiple outcomes relevant to school-based practice in tiered service-delivery models. Many challenges remain. Solutions to support meaningful, systematic and proactive outcomes management in schools should address the broader set of outcomes relevant to tiered service-delivery models and the unique practice context of the educational system, while remaining responsive to idiosyncratic organizational factors. Sustained clinical-research collaboration and knowledge exchange is recommended.

WHAT THIS PAPER ADDS

What is already known on the subject Systematic, proactive collection and interpretation of outcomes has long been encouraged within speech-language therapy. However, implementing outcomes management in clinical practice remains a substantial challenge. Additionally, research on outcomes to date has focused on medical practice environments, to the exclusion of school-based practice. What are the potential or actual clinical implications of this work? Outcomes management is valued in school practice environments; however, the current repertoire of techniques for outcomes management are a poor match for school-based practice. Clinicians in schools would benefit from the development of contextually relevant, meaningful and feasible outcomes management tools.

Virtual patient identifier (vPID): Improving patient traceability using anonymized identifiers in Japanese healthcare insurance claims database

Objective

Japan's national-level healthcare insurance claims database (NDB) is a collective database that contains the entire information on healthcare services being provided to all citizens. However, existing anonymized identifiers (ID1 and ID2) have a poor capability of tracing patients' claims in the database, hindering longitudinal analyses. This study presents a virtual patient identifier (vPID), which we have developed on top of these existing identifiers, to improve the patient traceability.

Methods

vPID is a new composite identifier that intensively consolidates ID1 and ID2 co-occurring in an identical claim to allow to collect claims of each patient even though its ID1 or ID2 may change due to life events or clerical errors. We conducted a verification test with prefecture-level datasets of healthcare insurance claims and enrollee history records, which allowed us to compare vPID with the ground truth, in terms of an identifiability score (indicating a capability of distinguishing a patient's claims from another patient's claims) and a traceability score (indicating a capability of collecting claims of an identical patient).

Results

The verification test has clarified that vPID offers significantly higher traceability scores (0.994, Mie; 0.997, Gifu) than ID1 (0.863, Mie; 0.884, Gifu) and ID2 (0.602, Mie; 0.839, Gifu), and comparable (0.996, Mie) and lower (0.979, Gifu) identifiability scores.

Discussion

vPID is seemingly useful for a wide spectrum of analytic studies unless they focus on sensitive cases to the design limitation of vPID, such as patients experiencing marriage and job change, simultaneously, and same-sex twin children.

Conclusion

vPID successfully improves patient traceability, providing an opportunity for longitudinal analyses that used to be practically impossible for NDB. Further exploration is also necessary, in particular, for mitigating identification errors.

Qualitative Perspectives of Emergency Nurses on Electronic Health Record Behavioral Flags to Promote Workplace Safety

Importance

Emergency nurses experience high levels of workplace violence during patient interactions. Little is known about the efficacy of behavioral flags, which are notifications embedded within electronic health records (EHRs) as a tool to promote clinician safety.

Objective

To explore the perspectives of emergency nurses on EHR behavioral flags, workplace safety, and patient care.

Design, Setting, and Participants

In this qualitative study, semistructured interviews were conducted with emergency nurses at an academic, urban emergency department (ED) between February 8 and March 25, 2022. Interviews were audio recorded, transcribed, and analyzed using thematic analysis. Data analysis was performed from April 2 to 13, 2022.

Main Outcomes and Measures

Themes and subthemes of nursing perspectives on EHR behavioral flags were identified.

Results

This study included 25 registered emergency nurses at a large academic health system, with a mean (SD) tenure of 5 (6) years in the ED. Their mean (SD) age was 33 (7) years; 19 were women (76%) and 6 were men (24%). Participants self-reported their race as Asian (3 [12%]), Black (3 [12%]), White (15 [60%]), or multiple races (2 [8%]); 3 participants (12%) self-reported their ethnicity as Hispanic or Latinx. Five themes (with subthemes) were identified: (1) benefits of flags (useful advisory; prevents violence; engenders compassion), (2) issues with flags (administrative and process issues; unhelpful; unenforceable; bias; outdated), (3) patient transparency (patient accountability; damages patient-clinician relationship), (4) system improvements (process; built environment; human resources; zero-tolerance policies), and (5) difficulties of working in the ED (harassment and abuse; unmet mental health needs of patients; COVID-19-related strain and burnout).

Conclusions and Relevance

In this qualitative study, nursing perspectives on the utility and importance of EHR behavioral flags varied. For many, flags served as an important forewarning to approach patient interactions with more caution or use safety skills. However, nurses were skeptical of the ability of flags to prevent violence from occurring and noted concern for the unintended consequences of introducing bias into patient care. These findings suggest that changes to the deployment and utilization of flags, in concert with other safety interventions, are needed to create a safer work environment and mitigate bias.

Exploring pain catastrophizing and its associations with low disease activity in rheumatic inflammatory disorders

Pain catastrophizing is a maladaptive mechanism associated with the exaggerated experience of pain, increased rumination and feelings of helplessness. The main objective of this study was to explore whether increased pain catastrophizing is independently associated with a lower proportion of low disease activity (LDA) in rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondylarthritis (axSpA). Demographics, comorbidities, treatment, disease activity measures and patient-reported outcome data were recorded in RA, PsA and axSpA patients. Pain catastrophizing score (PCS) was assessed using a standardised questionnaire. For each diagnosis, composite disease activity scores with distinct cut-off values for LDA, i.e. DAS28-CRP (RA), DAPSA (PsA) and ASDAS-CRP (axSpA) were calculated and used as the dependent variable in logistic regression reflecting LDA achieved. A total of one thousand two hundred and twenty nine patients were included: 580 with RA, 394 with PsA and 255 with axSpA. In the multivariable analysis, pain catastrophizing was independently associated with LDA rates in axSpA (OR 0.33, 95% CI [0.12, 0.88]) amongst tested groups. In RA (OR 0.90, 95% CI [0.64, 1.28]) and PsA (OR 0.77, 95% CI [0.55, 1.07]), a statistically significant association was not observed. Higher PCS was independently associated with not achieving LDA in axSpA. Our data, however, indicate that pain catastrophizing, which also reflects a patient's personality traits and coping abilities, plays a less important role for the patient than general pain perception.

Stroke Learning Health Systems: A Topical Narrative Review With Case Examples

To our knowledge, the adoption of Learning Health System (LHS) concepts or approaches for improving stroke care, patient outcomes, and value have not previously been summarized. This topical review provides a summary of the published evidence about LHSs applied to stroke, and case examples applied to different aspects of stroke care from high and low-to-middle income countries. Our attempt to systematically identify the relevant literature and obtain real-world examples demonstrated the dissemination gaps, the lack of learning and action for many of the related LHS concepts across the continuum of care but also elucidated the opportunity for continued dialogue on how to study and scale LHS advances. In the field of stroke, we found only a few published examples of LHSs and health systems globally implementing some selected LHS concepts, but the term is not common. A major barrier to identifying relevant LHS examples in stroke may be the lack of an agreed taxonomy or terminology for classification. We acknowledge that health service delivery settings that leverage many of the LHS concepts do so operationally and the lessons learned are not shared in peer-reviewed literature. It is likely that this topical review will further stimulate the stroke community to disseminate related activities and use keywords such as learning health system so that the evidence base can be more readily identified.

Assessing the digital literacy levels of the community pharmacy workforce using a survey tool

OBJECTIVES

To investigate the digital literacy of staff in London, UK, community pharmacies and to explore their perceptions about the use of eHealth tools.

METHODS

The study population was community pharmacy staff (N = 21,346) in Greater London. A survey tool was divided into six sections: Use of the internet; Use of social media; Use of mobile health applications (MHAs); Perception of and practical use of digital health tools; Scenario-based questions and demographics. Responses were analysed in SPSS. Following data collection, Health Education England's (HEE's) Digital Capabilities Framework (DCF) was published. The authors mapped the survey tool retrospectively to the framework.

KEY FINDINGS

Almost all respondents (98.0%, n = 551/562) used eHealth tools at work, mainly to access medicine information (89.8%, n = 495/551). Almost one-third (31.7%, N = 178/562) used social media regularly, while many (79.4%, N = 446/562) were aware of MHAs. Self-perceived digital literacy indicated that 63.3% (n = 356/562) deemed themselves to be above average. Under 35s rated their digital literacy more highly than over 35s (P < 0.001). HEE's DCF indicated that actual digital literacy was lower than that of self-perceived. Despite the high use of eHealth tools, respondents were reluctant to recommend these to the public for health advice.

CONCLUSIONS

Community pharmacy staff self-report their digital literacy to be high yet do not use these skills for public health purposes. Furthermore, these self-reported skills appear to be over-estimated. Despite high levels of use of digital tools at work, staff do not use them for public health, therefore, further training to build confidence to better utilise them is recommended.

Barriers and Opportunities for the Use of Digital Tools in Medicines Optimization Across the Interfaces of Care: Stakeholder Interviews in the United Kingdom

BACKGROUND

People with long-term conditions frequently transition between care settings that require information about a patient's medicines to be transferred or translated between systems. This process is currently error prone and associated with unintentional changes to medications and miscommunication, which can lead to serious patient consequences. One study estimated that approximately 250,000 serious medication errors occur in England when a patient transitions from hospital to home. Digital tools can equip health care professionals with the right information at the right time and place to support practice.

OBJECTIVE

This study aimed to answer the following questions: what systems are being used to transfer information across interfaces of care within a region of England? and what are the challenges and potential opportunities for more effective cross-sector working to support medicines optimization?

METHODS

A team of researchers at Newcastle University conducted a qualitative study by performing in-depth semistructured interviews with 23 key stakeholders in medicines optimization and IT between January and March 2022. The interviews lasted for approximately 1 hour. The interviews and field notes were transcribed and analyzed using the framework approach. The themes were discussed, refined, and applied systematically to the data set. Member checking was also performed.

RESULTS

This study revealed themes and subthemes pertaining to 3 key areas: transfer of care issues, challenges of digital tools, and future hopes and opportunities. We identified a major complexity in terms of the number of different medicine management systems used throughout the region. There were also important challenges owing to incomplete patient records. We also highlighted the barriers related to using multiple systems and their subsequent impact on user workflow, a lack of interoperability between systems, gaps in the availability of digital data, and poor IT and change management. Finally, participants described their hopes and opportunities for the future provision of medicines optimization services, and there was a clear need for a patient-centered consolidated integrated health record for use by all health and care professionals across different sectors, bridging those working in primary, secondary, and social care.

CONCLUSIONS

The effectiveness and utility of shared records depend on the data within; therefore, health care and digital leaders must support and strongly encourage the adoption of established and approved digital information standards. Specific priorities regarding understanding of the vision for pharmacy services and supporting this with appropriate funding arrangements and strategic planning of the workforce were also described. In addition, the following were identified as key enablers to harness the benefits of digital tools to support future medicines optimization: development of minimal system requirements; enhanced IT system management to reduce unnecessary repetition; and importantly, meaningful and continued collaboration with clinical and IT stakeholders to optimize systems and share good practices across care sectors.

Workflow interruption and nurses' mental workload in electronic health record tasks: An observational study

BACKGROUND

Workflow interruptions are common in modern work systems. Electronic health record (EHR) tasks are typical tasks involving human-machine interactions in nursing care, but few studies have examined interruptions and nurses' mental workload in the tasks. Therefore, this study aims to investigate how frequent interruptions and multilevel factors affect nurses' mental workload and performance in EHR tasks.

METHODS

A prospective observational study was conducted in a tertiary hospital providing specialist and sub-specialist care from June 1^st to October 31^st, 2021. An observer documented nurses' EHR task interruptions, reactions and performance (errors and near errors) during one-shift observation sessions. Questionnaires were administered at the end of the electronic health record task observation to measure nurses' mental workload for the electronic health record tasks, task difficulty, system usability, professional experience, professional competency, and self-efficacy. Path analysis was used to test a hypothetical model.

RESULTS

In 145 shift observations, 2871 interruptions occurred, and the mean task duration was 84.69 (SD 56.68) minutes per shift. The incidence of error or near error was 158, while 68.35% of errors were self-corrected. The total mean mental workload level was 44.57 (SD 14.08). A path analysis model with adequate fit indices is presented. There was a relationship among concurrent multitasking, task switching and task time. Task time, task difficulty and system usability had direct effects on mental workload. Task performance was influenced by mental workload and professional title. Negative affect mediated the path from task performance to mental workload.

CONCLUSIONS

Nursing interruptions occur frequently in EHR tasks, come from different sources and may lead to elevated mental workload and negative outcomes. By exploring the variables related to mental workload and performance, we offer a new perspective on quality improvement strategies. Reducing harmful interruptions to decrease task time can avoid negative outcomes. Training nurses to cope with interruptions and improve competency in EHR implementation and task operation has the potential to decrease nurses' mental workload and improve task performance. Moreover, improving system usability is beneficial to nurses to mitigate mental workload.

An Ontology-Based Approach for Consolidating Patient Data Standardized With European Norm/International Organization for Standardization 13606 (EN/ISO 13606) Into Joint Observational Medical Outcomes Partnership (OMOP) Repositories: Description of a Methodology

BACKGROUND

To discover new knowledge from data, they must be correct and in a consistent format. OntoCR, a clinical repository developed at Hospital Clínic de Barcelona, uses ontologies to represent clinical knowledge and map locally defined variables to health information standards and common data models.

OBJECTIVE

The aim of the study is to design and implement a scalable methodology based on the dual-model paradigm and the use of ontologies to consolidate clinical data from different organizations in a standardized repository for research purposes without loss of meaning.

METHODS

First, the relevant clinical variables are defined, and the corresponding European Norm/International Organization for Standardization (EN/ISO) 13606 archetypes are created. Data sources are then identified, and an extract, transform, and load process is carried out. Once the final data set is obtained, the data are transformed to create EN/ISO 13606-normalized electronic health record (EHR) extracts. Afterward, ontologies that represent archetyped concepts and map them to EN/ISO 13606 and Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) standards are created and uploaded to OntoCR. Data stored in the extracts are inserted into its corresponding place in the ontology, thus obtaining instantiated patient data in the ontology-based repository. Finally, data can be extracted via SPARQL queries as OMOP CDM-compliant tables.

RESULTS

Using this methodology, EN/ISO 13606-standardized archetypes that allow for the reuse of clinical information were created, and the knowledge representation of our clinical repository by modeling and mapping ontologies was extended. Furthermore, EN/ISO 13606-compliant EHR extracts of patients (6803), episodes (13,938), diagnosis (190,878), administered medication (222,225), cumulative drug dose (222,225), prescribed medication (351,247), movements between units (47,817), clinical observations (6,736,745), laboratory observations (3,392,873), limitation of life-sustaining treatment (1,298), and procedures (19,861) were created. Since the creation of the application that inserts data from extracts into the ontologies is not yet finished, the queries were tested and the methodology was validated by importing data from a random subset of patients into the ontologies using a locally developed Protégé plugin ("OntoLoad"). In total, 10 OMOP CDM-compliant tables ("Condition_occurrence," 864 records; "Death," 110; "Device_exposure," 56; "Drug_exposure," 5609; "Measurement," 2091; "Observation," 195; "Observation_period," 897; "Person," 922; "Visit_detail," 772; and "Visit_occurrence," 971) were successfully created and populated.

CONCLUSIONS

This study proposes a methodology for standardizing clinical data, thus allowing its reuse without any changes in the meaning of the modeled concepts. Although this paper focuses on health research, our methodology suggests that the data be initially standardized per EN/ISO 13606 to obtain EHR extracts with a high level of granularity that can be used for any purpose. Ontologies constitute a valuable approach for knowledge representation and standardization of health information in a standard-agnostic manner. With the proposed methodology, institutions can go from local raw data to standardized, semantically interoperable EN/ISO 13606 and OMOP repositories.

Comparative effects of desflurane and sevoflurane on intraoperative peripheral perfusion index: a retrospective, propensity score matched, cohort study

Desflurane is known to have a larger vasodilatory effect than that of sevoflurane. However, its generalizability and effect size in actual clinical practice are yet to be proven. Patients aged ≥ 18 years who underwent noncardiac surgery under general anesthesia using inhalation anesthetics (desflurane or sevoflurane) were matched 1:1 by propensity score. The mean intraoperative perfusion index (PI) of each patient were compared between the two groups. Propensity score matching of 1680 patients in the study cohort identified 230 pairs of patients. PI was significantly higher in the desflurane group (median of paired difference, 0.45; 95% CI 0.16 to 0.74, p = 0.002). PI durations below 1.0 and 1.5 were significantly longer in the sevoflurane group. Mean arterial pressure (MAP) and durations of low MAP did not differ significantly between the two groups. Generalized linear mixed models revealed that the use of sevoflurane, mean MAP, mean heart rate, age, and duration of anesthesia had significant negative effects (lower PI), whereas mean age-adjusted minimum alveolar concentration of inhalation agent had a positive effect on PI (higher value). Intraoperative PI was significantly higher in patients administered desflurane than sevoflurane. However, the impact of the choice between desflurane and sevoflurane on intraoperative PI in this clinical setting was minimal.

Geostatistical analysis from the clinical laboratory in cardiovascular prevention for primary care

INTRODUCTION AND OBJECTIVES

Cardiovascular diseases continue to lead the ranking of mortality in Spain. The implementation of geostatistical analysis techniques in the clinical laboratory are innovative tools that allow the design of new strategies in primary prevention of cardiovascular disease. The aim of this study was to study the prevalence and geolocation of severe dyslipidemia in the health areas under study in order to implement prevention strategies in primary care. A retrospective cohort study of low-density protein-bound cholesterol, triglyceride and lipoprotein (a) levels in the years 2019 and 2020 were carried out. In addition, a geostatistical analysis was performed including representation in choropleth maps and the detection of clustering clusters, using geographic information in zip code format included in the demographic data of each analytic.

RESULTS

The analytical data included in the study were triglycerides (n=365,384), low density protein-bound cholesterol (n=289,594) and lipoprotein to lipoprotein (a) (n=502). Areas with the highest and lowest percentage of cases were identified for the established cut-off points of LDL-C>190mg/dL and TG>150mg/dL. Two clustering clusters with statistical significance were detected for cLDL>190mg/dL and a total of 6 clusters for TG values>150mg/dL.

CONCLUSIONS

The detection of clusters, as well as the representation of choropleth maps, can be of great help in detecting geographic areas that require greater attention to intervene and improve cardiovascular risk.

Patient Engagement with Online Portals and Online Radiology Results

The purpose of this study was to examine patient portal enrollment and the usage with a specific focus on the utilization of on-line radiology reports by patients. Oracle SQL (Austin, TX, USA) queries were used to extract portal enrollment data over a 13-month period from March 1, 2017 through March 31, 2018 from the hospital system's EMR. Patient enrollment was collected as was patient information including basic demographics and utilization patterns. For enrolled patients, interaction within the portal with the "Radiology" work tab (RADTAB) was used as a surrogate for review of radiology results. As a comparator, interaction within the portal with the "Laboratory" work tab (LABTAB) was used as a surrogate for review of laboratory results. Statistical analysis on the data was performed using Chi-squared, Student's t-test, Logistic regression and multivariate analysis where appropriate. The population for analysis included 424,422 patients. Overall, 138,783 patients (32.7%) were enrolled in the portal. Patients enrolled in the portal were older (P < 0.0001), female (P < 0.0001) and Caucasian (P < 0.0001). Patients enrolled in the portal had higher levels of educational attainment (p < 0.0001), higher annual household income (P < 0.0001), and more outpatient clinic visits (P < 0.0001). The proportion of enrolled patients that interacted with the LABTAB (47.2%) was significantly higher than those that interacted with the RADTAB (27.1%) (P < 0.0001; Table 2). Patients that utilize the portal are more likely to utilize the Laboratory tab than the Radiology tab, and demographic differences do not account for this difference in usage. Further investigation is needed to better understand the reasons for the differing usage trends of Laboratory and Radiology tabs.

Electronic Health Records' Support for Primary Care Physicians' Situation Awareness: A Metanarrative Review

OBJECTIVE

Situation awareness (SA) refers to people's perception and understanding of their dynamic environment. In primary care, reduced SA among physicians increases errors in clinical decision-making and, correspondingly, patients' risk of experiencing adverse outcomes. Our objective was to understand the extent to which electronic health records (EHRs) support primary care physicians (PCPs)' SA during clinical decision-making.

METHOD

We conducted a metanarrative review of papers in selected academic databases, including CINAHL and MEDLINE. Eligible studies included original peer-reviewed research published between January 2012 and August 2020 on PCP-EHR interactions. We iteratively queried, screened, and summarized literature focused on EHRs supporting PCPs' clinical decision-making and care management for adults. Then, we mapped findings to an established SA framework to classify external factors (individual, task, and system) affecting PCPs' levels of SA (1-Perception, 2-Comprehension, and 3-Projection) and identified SA barriers.

RESULTS

From 1504 articles identified, we included and synthesized 19 studies. Study designs were largely noninterventional. Studies described EHR workflow misalignments, usability issues, and communication challenges. EHR information, including lab results and care plans, was characterized as incomplete, untimely, or irrelevant. Unmet information needs made it difficult for PCPs to obtain even basic SA, Level 1 SA. Prevalent barriers to PCPs developing SA with EHRs were errant mental models, attentional tunneling, and data overload.

CONCLUSION

Based on our review, EHRs do not support the development of higher levels of SA among PCPs. Review findings suggest SA-oriented design processes for health information technology could improve PCPs' SA, satisfaction, and decision-making.