Patient Perception and Impact of Home Test Kits on Health Care Utilization for Urinary Tract Infection.

Urinary tract infection (UTI) is a common reason for emergency department (ED) utilization that could potentially be treated by a primary care provider (PCP). This study assessed patient perceived value of a home UTI test kit plus educational materials and its impact on ED utilization for a UTI symptom episode. Women aged 18-75 years with Medicaid insurance and a history of 1-3 uncomplicated UTIs in the past year were prospectively identified and randomized to the intervention, intervention plus (intervention plus a patient portal message before its delivery), or standard of care group. A telephone survey was conducted 3-5 months after the mailing. Site of care for each UTI symptom episode was measured 12 months before and 6 months after the intervention. Test kit packages were mailed to 266 intervention individuals, and 150 responded to the telephone survey. Utilization outcomes were compared between a combined intervention group and a control group. Approximately one-third of the intervention patients experienced UTI symptoms within 5 months, and 73% used the test kit. Of those who experienced UTI symptoms, 58% contacted their PCP to seek care and 96% reported that the test kit was helpful. ED utilization was not significantly different in the intervention groups before and after the intervention, nor between the intervention and control groups postintervention. A home UTI test kit plus educational materials mailed to patients with a history of uncomplicated UTI was deemed helpful but did not have a measurable impact on ED utilization.

Lessons Learned: Evaluation of Fracture Liaison Service Quality Improvement Efforts in a Large Academic Healthcare System.

BACKGROUND: The Fracture Liaison Service (FLS) care model, a care coordination program for patients experiencing a fragility fracture, is proven to improve management of patients with an osteoporotic fracture, but treatment initiation gaps persist. OBJECTIVE: We describe the evolution of a centralized FLS within a university-based healthcare system, including impact of adding clinical pharmacist consultation, and describe circumstances surrounding continued care gaps. DESIGN: Cohort analysis of osteoporosis medication initiation before FLS, after initial implementation, and after addition of pharmacist consultation. PATIENTS: Individuals aged 65 and older experiencing any fragility fracture between 7/1/16 and 3/31/22. INTERVENTION: A centralized team outreached eligible patients, ordered dual x-ray absorptiometry and laboratory tests as needed, and scheduled an osteoporosis-focused primary care appointment. Three years after FLS implementation, clinical pharmacist consultative review was added prior to the primary care visit. MAIN MEASURES: Initiation of osteoporosis pharmacologic therapy, completion of DXA, primary care follow-up rate, and description of circumstances where therapy was not initiated. KEY RESULTS: Of 1204 new fractures between 7/1/16 and 3/31/22, 315 patients were enrolled in one of two FLS phases, and 89 eligible historical controls were identified. Medication initiation rates went from 22/89 (25%) pre-FLS to 201/428 (47%) after-FLS phase 1 [POST1] (p<0.001) and to 106/187 (57%) after FLS phase 2 (POST2), when clinical pharmacist consultation was added (p=0.03 versus POST1). DXA was completed in 56/89 (67%) of pre-FLS patients, 364/428 (85%) POST1 patients (p<0.001 versus pre), and 163/187 (87%) POST2 (p< 0.001 versus PRE, p=0.59 versus POST1). Of 375 patients who did not initiate osteoporosis medication, more in the combined post-FLS cohorts attended a follow-up primary care appointment (233/308, 76% attended, versus pre-FLS 41/67, 61%, p=0.016). CONCLUSION: An FLS including centralized outreach and care coordination significantly improved patient follow-up, DXA, and medication initiation. Addition of de-centralized pharmacist consultation further improved medication initiation rates.

Prescribing Patterns of Dupilumab for Atopic Dermatitis in Adults: Retrospective, Observational Cohort Study.

BACKGROUND: Atopic dermatitis (AD) is a common inflammatory disease caused by a type 2 T helper cell-mediated immune response to environmental antigens. Approximately 1 in 5 patients with AD presents with moderate to severe disease, and treatments approved by the Food and Drug Administration include emollients, topical glucocorticoids, and calcineurin inhibitors. Dupilumab, a fully human monoclonal antibody, improves AD via inhibition of interleukin-4 and interleukin-13. OBJECTIVE: Our aim was to characterize the prescribing patterns of dupilumab for AD in adults at a large university-affiliated health system. METHODS: A retrospective, observational cohort study was conducted using electronic data from the Observational Health Data Sciences and Informatics database, assessing data from the University of Colorado Medical Campus and its affiliates. The outcome measured was the prevalence of dupilumab prescribed for adults with AD (n=6421), between March 28, 2013, and March 28, 2021. We assessed whether the characteristics of patients who received dupilumab were different from those who did not. Each patient characteristic was assessed using a univariate logistic regression with the binary outcome of receiving or not receiving dupilumab. RESULTS: We found a population prevalence of 5.6% (6421/114,476) for AD. In our cohort, Black patients with AD were more than twice as likely to have received dupilumab compared to White patients (odds ratio 2.352, 95% CI 1.58-3.39). Patients with a diagnosis of atopic neurodermatitis were approximately twice as likely to have received dupilumab compared to those with other diagnostic variants of AD (odds ratio 1.87, 95% CI 1.01-3.22). CONCLUSIONS: Our results demonstrate that both patient racial characteristics and specific AD diagnoses were associated with variations in dupilumab prescription patterns.

Prescribing Patterns of Oral Antibiotics and Isotretinoin for Acne in a Colorado Hospital System: Retrospective Cohort Study.

BACKGROUND: Guidelines established by the American Academy of Dermatology recommend oral antibiotics as first-line therapy for mild, moderate, and severe acne. However, it is recommended to minimize the duration of oral antibiotic use, and there is increasing support for other systemic agents for acne. OBJECTIVE: We sought to characterize the use of oral antibiotics and isotretinoin for the treatment of acne in the pediatric and young adult population aged 10 through 20 years and the adult population aged 21 to 45 years from 2011 to 2019. METHODS: We conducted a retrospective, observational cohort study using electronic data from the enterprise data warehouse of the University of Colorado Anschutz Medical Campus and its affiliates, with data in the format of the Observational Health Data Sciences and Informatics (OHDSI) Observational Medical Outcomes Partnership (OMOP) common data model. Categorical values (sex, race, and ethnicity) were compared using chi-square tests, and continuous variables (age) were compared using 2-tailed t tests. RESULTS: Our cohort of 15,704 patients was composed of mostly White (12,776/15,704, 81.4%), non-Hispanic or Latino (13,307/15,704, 84.7%), and female (11,093/15,704, 70.6%) patients. Among the 4605 male patients in the eligible cohort, 1810 (39%) received an oral antibiotic treatment, in comparison to 3109 (28%) of the 11,093 eligible women (P<.001). Among the 4605 men who were eligible for treatment with isotretinoin in this population, 988 (21.5%) received a course of isotretinoin, compared to only 10.4% (1159/11,093) eligible women (P<.001). Male patients were 1.67 times more likely to have received an antibiotic prescription (odds ratio [OR] 1.67, 95% CI 1.55-1.79) and over twice as likely to have received an isotretinoin prescription (OR 2.34, 95% CI 2.13-2.57) than female patients. CONCLUSIONS: Minocycline was the most frequently prescribed antibiotic for the treatment of acne in this study cohort. From 2015 to 2019, there was no significant change in the number of antibiotic prescriptions over time. Men were significantly more likely to receive both oral antibiotics and isotretinoin than female patients. Multiple factors could be contributing to this discrepancy, including the burden of iPLEDGE, additional systemic treatment options for female patients, and the difference in acne severity across sexes. We could not determine the difference in severity of acne between male and female patients in our cohort, and further research is needed to ascertain the variation across sexes.

A Transgender Health Information Resource: Participatory Design Study.

BACKGROUND: Despite the abundance of health information on the internet for people who identify as transgender and gender diverse (TGD), much of the content used is found on social media channels, requiring individuals to vet the information for relevance and quality. OBJECTIVE: We developed a prototype transgender health information resource (TGHIR) delivered via a mobile app to provide credible health and wellness information for people who are TGD. METHODS: We partnered with the TGD community and used a participatory design approach that included focus groups and co-design sessions to identify users' needs and priorities. We used the Agile software development methodology to build the prototype. A medical librarian and physicians with expertise in transgender health curated a set of 97 information resources that constituted the foundational content of the prototype. To evaluate the prototype TGHIR app, we assessed the app with test users, using a single item from the System Usability Scale to assess feature usability, cognitive walk-throughs, and the user version of the Mobile Application Rating Scale to evaluate the app's objective and subjective quality. RESULTS: A total of 13 people who identified as TGD or TGD allies rated their satisfaction with 9 of 10 (90%) app features as good to excellent, and 1 (10%) of the features-the ability to filter to narrow TGHIR resources-was rated as okay. The overall quality score on the user version of the Mobile Application Rating Scale was 4.25 out of 5 after 4 weeks of use, indicating a good-quality mobile app. The information subscore received the highest rating, at 4.75 out of 5. CONCLUSIONS: Community partnership and participatory design were effective in the development of the TGHIR app, resulting in an information resource app with satisfactory features and overall high-quality ratings. Test users felt that the TGHIR app would be helpful for people who are TGD and their care partners.

Playing in the clinical decision support sandbox: tools and training for all.

Objectives: Introduce the CDS-Sandbox, a cloud-based virtual machine created to facilitate Clinical Decision Support (CDS) developers and implementers in the use of FHIR- and CQL-based open-source tools and technologies for building and testing CDS artifacts. Materials and Methods: The CDS-Sandbox includes components that enable workflows for authoring and testing CDS artifacts. Two workshops at the 2020 and 2021 AMIA Annual Symposia were conducted to demonstrate the use of the open-source CDS tools. Results: The CDS-Sandbox successfully integrated the use of open-source CDS tools. Both workshops were well attended. Participants demonstrated use and understanding of the workshop materials and provided positive feedback after the workshops. Discussion: The CDS-Sandbox and publicly available tutorial materials facilitated an understanding of the leading-edge open-source CDS infrastructure components. Conclusion: The CDS-Sandbox supports integrated use of the key CDS open-source tools that may be used to introduce CDS concepts and practice to the clinical informatics community.

Patient and researcher stakeholder preferences for use of electronic health record data: a qualitative study to guide the design and development of a platform to honor patient preferences.

OBJECTIVE: This qualitative study aimed to understand patient and researcher perspectives regarding consent and data-sharing preferences for research and a patient-centered system to manage consent and data-sharing preferences. MATERIALS AND METHODS: We conducted focus groups with patient and researcher participants recruited from three academic health centers via snowball sampling. Discussions focused on perspectives on the use of electronic health record (EHR) data for research. Themes were identified through consensus coding, starting from an exploratory framework. RESULTS: We held two focus groups with patients (n = 12 patients) and two with researchers (n = 8 researchers). We identified two patient themes (1-2), one theme common to patients and researchers (3), and two researcher themes (4-5). Themes included (1) motivations for sharing EHR data, (2) perspectives on the importance of data-sharing transparency, (3) individual control of personal EHR data sharing, (4) how EHR data benefits research, and (5) challenges researchers face using EHR data. DISCUSSION: Patients expressed a tension between the benefits of their data being used in studies to benefit themselves/others and avoiding risk by limiting data access. Patients resolved this tension by acknowledging they would often share their data but wanted greater transparency on its use. Researchers expressed concern about incorporating bias into datasets if patients opted out. CONCLUSIONS: A research consent and data-sharing platform must consider two competing goals: empowering patients to have more control over their data and maintaining the integrity of secondary data sources. Health systems and researchers should increase trust-building efforts with patients to engender trust in data access and use.

Community Engagement in Research and Design of a Transgender Health Information Resource.

BACKGROUND: Access to credible and relevant health care information is an unmet need for the transgender and gender-diverse (TGD) community. This paper describes the community engagement methods and resulting community priorities as part of a codesign process for the development of a Transgender Health Information Resource (TGHIR) application. METHODS: A lesbian, gay, bisexual, transgender, and queer advocacy organization and an academic health sciences team partnered to establish a community advisory board (CAB) of TGD individuals, parents of TGD individuals, and clinicians with expertise in transgender health to inform the project. The analytic-deliberative model and group facilitation strategies based on Liberating Structures guided procedures. Affinity grouping was used to synthesize insights from CAB meeting notes regarding roles and perspectives on the design of the TGHIR application. We used the Patient Engagement in Research Scale (PEIRS) to evaluate CAB members' experience with the project. RESULTS: The CAB emphasized the importance of designing the application with and for the TGD community, including prioritizing intersectionality and diversity. CAB engagement processes benefited from setting clear expectations, staying focused on goals, synchronous and asynchronous work, and appreciating CAB member expertise. TGHIR application scope and priorities included a single source to access relevant, credible health information, the ability to use the app discreetly, and preserving privacy (i.e., safe use). An out-of-scope CAB need was the ability to identify both culturally and clinically competent TGD health care providers. PEIRS results showed CAB members experienced moderate to high levels of meaningful engagement (M[standard deviation] = 84.7[12] out of 100). CONCLUSION: A CAB model was useful for informing TGHIR application priority features. In-person and virtual methods were useful for engagement. The CAB continues to be engaged in application development, dissemination, and evaluation. The TGHIR application may complement, but will not replace, the need for both culturally and clinically competent health care for TGD people.

Co-design of the Transgender Health Information Resource: Web-Based Participatory Design.

BACKGROUND: There is an urgent and unmet need for accessible and credible health information within the transgender and gender-diverse (TGD) community. Currently, TGD individuals often seek and must find relevant resources by vetting social media posts. A resource that provides accessible and credible health-related resources and content via a mobile phone app may have a positive impact on and support the TGD population. OBJECTIVE: COVID-19 stay-at-home orders forced a shift in the methods used in participatory design. In this paper, we aimed to describe the web-based participatory methods used to develop the Transgender Health Information Resource. We also described and characterized the web-based engagement that occurred during a single session of the overall design process. METHODS: We planned and conducted web-based design sessions to replace the proposed in-person sessions. We used web-based collaborative tools, including Zoom (Zoom Video Communications), Mural (Mural), REDCap (Research Electronic Data Capture; Vanderbilt University), and Justinmind (Justinmind), to engage the participants in the design process. Zoom was used as an integrated platform for design activities. Mural was used to perform exercises, such as free listing, brainstorming, and grouping. REDCap allowed us to collect survey responses. Justinmind was used to create prototypes that were shared and discussed via Zoom. Recruitment was led by one of our community partners, One Colorado, who used private Facebook groups in which web-based flyers were dispersed. The design process took place in several workshops over a period of 10 months. We described and characterized engagement during a single design session by tracking the number of influential interactions among participants. We defined an influential interaction as communication, either verbal or web-based content manipulation, that advanced the design process. RESULTS: We presented data from a single design session that lasted 1 hour and 48 minutes and included 4 participants. During the session, there were 301 influential interactions, consisting of 79 verbal comments and 222 web-based content manipulations. CONCLUSIONS: Web-based participatory design can elicit input and decisions from participants to develop a health information resource, such as a mobile app user interface. Overall, participants were highly engaged. This approach maintained the benefits and fidelity of traditional in-person design sessions, mitigated deficits, and exploited the previously unconsidered benefits of web-based methods, such as enhancing the ability to participate for those who live far from academic institutions. The web-based approach to participatory design was an efficient and feasible methodological design approach.

Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe.

Objective: Large international comparisons describing the clinical characteristics of patients with COVID-19 are limited. The aim of the study was to perform a large-scale descriptive characterization of COVID-19 patients with asthma.Methods: We included nine databases contributing data from January to June 2020 from the US, South Korea (KR), Spain, UK and the Netherlands. We defined two cohorts of COVID-19 patients ('diagnosed' and 'hospitalized') based on COVID-19 disease codes. We followed patients from COVID-19 index date to 30 days or death. We performed descriptive analysis and reported the frequency of characteristics and outcomes in people with asthma defined by codes and prescriptions.Results: The diagnosed and hospitalized cohorts contained 666,933 and 159,552 COVID-19 patients respectively. Exacerbation in people with asthma was recorded in 1.6-8.6% of patients at presentation. Asthma prevalence ranged from 6.2% (95% CI 5.7-6.8) to 18.5% (95% CI 18.2-18.8) in the diagnosed cohort and 5.2% (95% CI 4.0-6.8) to 20.5% (95% CI 18.6-22.6) in the hospitalized cohort. Asthma patients with COVID-19 had high prevalence of comorbidity including hypertension, heart disease, diabetes and obesity. Mortality ranged from 2.1% (95% CI 1.8-2.4) to 16.9% (95% CI 13.8-20.5) and similar or lower compared to COVID-19 patients without asthma. Acute respiratory distress syndrome occurred in 15-30% of hospitalized COVID-19 asthma patients.Conclusion: The prevalence of asthma among COVID-19 patients varies internationally. Asthma patients with COVID-19 have high comorbidity. The prevalence of asthma exacerbation at presentation was low. Whilst mortality was similar among COVID-19 patients with and without asthma, this could be confounded by differences in clinical characteristics. Further research could help identify high-risk asthma patients.[Box: see text]Supplemental data for this article is available online at https://doi.org/10.1080/02770903.2021.2025392 .

EHR-Integrated Clinical Pathways Promote Education, Confidence, and Save Time for Primary Care Providers.

Computerized clinical decision support tools are increasingly necessary and widespread in primary care due to rapidly evolving evidence and shifting clinical guidelines. Clinical pathways are a subtype of clinical decision support tool which aim to link evidence to practice and which require evaluation of benefits and barriers to use to inform user-centered design. The objective was to describe the use and perceived benefits and barriers to evidence-based, disease-specific electronic health record pathways for clinical decision support. Primary care providers at a large integrated health system were surveyed about their use of clinical pathways using an online questionnaire distributed via email in November 2021. Descriptive statistics were estimated and differences in the characteristics and responses by pathway use were assessed using chi-square or Fisher exact tests. The survey response rate was 26% (153/593). There were differences in the response rates between providers by practice type (42% academic versus 54% community; P < 0.001). No difference was found in the demographics of those that used the pathways versus those that did not according to role, age, or length of time in practice. Providers in the academic practice were more likely than those in community practices to have used the pathways. Among providers who used the pathways, 98% agree they have evidence-based information, 98% agree they allow them to take better care of patients, 88% agree they guide clinical-decisions, and 85% agree they save time. The main barrier for those who had used pathways was that they forget about them. Among those who had not used pathways, 35% were unaware that pathways existed. This analysis demonstrates that primary care providers who adopt clinical pathways perceive benefits in several domains. The largest barriers to adoption were that users forgot about pathways or were unaware of them. Future work should focus on dissemination and education, improving tool accessibility, and content optimization to balance complexity with efficiency.

ReviewR: a light-weight and extensible tool for manual review of clinical records.

Objectives: Manual record review is a crucial step for electronic health record (EHR)-based research, but it has poor workflows and is error prone. We sought to build a tool that provides a unified environment for data review and chart abstraction data entry. Materials and Methods: ReviewR is an open-source R Shiny application that can be deployed on a single machine or made available to multiple users. It supports multiple data models and database systems, and integrates with the REDCap API for storing abstraction results. Results: We describe 2 real-world uses and extensions of ReviewR. Since its release in April 2021 as a package on CRAN it has been downloaded 2204 times. Discussion and Conclusion: ReviewR provides an easily accessible review interface for clinical data warehouses. Its modular, extensible, and open source nature afford future expansion by other researchers.

Multicenter Analysis of Cardiometabolic-related Diagnoses in Transgender and Gender-Diverse Youth: A PEDSnet Study.

CONTEXT: Studies on cardiometabolic health in transgender and gender-diverse youth (TGDY) are limited to small cohorts. OBJECTIVE: This work aimed to determine the odds of cardiometabolic-related diagnoses in TGDY compared to matched controls in a cross-sectional analysis, using a large, multisite database (PEDSnet). METHODS: Electronic health record data (2009-2019) were used to determine odds of cardiometabolic-related outcomes based on diagnosis, anthropometric, and laboratory data using logistic regression among TGDY youth vs controls. The association of gender-affirming hormone therapy (GAHT) with these outcomes was examined separately among TGDY. TGDY (n = 4172) were extracted from 6 PEDSnet sites and propensity-score matched on 8 variables to controls (n = 16 648). Main outcomes measures included odds of having cardiometabolic-related diagnoses among TGDY compared to matched controls, and among TGDY prescribed GAHT compared to those not prescribed GAHT. RESULTS: In adjusted analyses, TGDY had higher odds of overweight/obesity (1.2; 95% CI, 1.1-1.3) than controls. TGDY with a testosterone prescription alone or in combination with a gonadotropin-releasing hormone agonist (GnRHa) had higher odds of dyslipidemia (1.7; 95% CI, 1.3-2.3 and 3.7; 95% CI, 2.1-6.7, respectively) and liver dysfunction (1.5; 95% CI, 1.1-1.9 and 2.5; 95% CI, 1.4-4.3) than TGDY not prescribed GAHT. TGDY with a testosterone prescription alone had higher odds of overweight/obesity (1.8; 95% CI, 1.5-2.1) and hypertension (1.6 95% CI, 1.2-2.2) than those not prescribed testosterone. Estradiol and GnRHa alone were not associated with greater odds of cardiometabolic-related diagnoses. CONCLUSION: TGDY have increased odds of overweight/obesity compared to matched controls. Screening and tailored weight management, sensitive to the needs of TGDY, are needed.

A process to deduplicate individuals for regional chronic disease prevalence estimates using a distributed data network of electronic health records.

Introduction: Learning health systems can help estimate chronic disease prevalence through distributed data networks (DDNs). Concerns remain about bias introduced to DDN prevalence estimates when individuals seeking care across systems are counted multiple times. This paper describes a process to deduplicate individuals for DDN prevalence estimates. Methods: We operationalized a two-step deduplication process, leveraging health information exchange (HIE)-assigned network identifiers, within the Colorado Health Observation Regional Data Service (CHORDS) DDN. We generated prevalence estimates for type 1 and type 2 diabetes among pediatric patients (0-17 years) with at least one 2017 encounter in one of two geographically-proximate DDN partners. We assessed the extent of cross-system duplication and its effect on prevalence estimates. Results: We identified 218 437 unique pediatric patients seen across systems during 2017, including 7628 (3.5%) seen in both. We found no measurable difference in prevalence after deduplication. The number of cases we identified differed slightly by data reconciliation strategy. Concordance of linked patients' demographic attributes varied by attribute. Conclusions: We implemented an HIE-dependent, extensible process that deduplicates individuals for less biased prevalence estimates in a DDN. Our null pilot findings have limited generalizability. Overlap was small and likely insufficient to influence prevalence estimates. Other factors, including the number and size of partners, the matching algorithm, and the electronic phenotype may influence the degree of deduplication bias. Additional use cases may help improve understanding of duplication bias and reveal other principles and insights. This study informed how DDNs could support learning health systems' response to public health challenges and improve regional health.

Modeling of an alternative reimbursement method for palliative care.

OBJECTIVES: Patient and Caregiver Support for Serious Illness (PACSSI), a per-member per-month (PMPM) alternative reimbursement structure for palliative care (PC) services, has been described as overly generous by HHS. We developed a modified version, PACSSI-Flexible (PACSSI-F), by modeling reimbursement for PC based on the changes in patient functional status. We estimated reimbursement for the first year that an organization might implement the PACSSI-F for PC services. STUDY DESIGN: Secondary analysis using data from the Statin Discontinuation in Advanced Illness Trial. METHODS: We evaluated the PACSSI vs the PACSSI-F in 3 phases. In the first phase, we calculated variable-appropriate frequencies/relative frequencies or means/SDs for the study population's available demographics and comorbidities, focusing on age, Charlson Comorbidity Index score, race and ethnicity, gender, and continued statin use. Exploratory analyses specific to reimbursement were conducted in a second phase. For each payment structure, we calculated the (1) mean (SD) total reimbursement and (2) number of weeks that a health care system would receive reimbursement, with both weekly and PMPM (4-week) averages. The third phase was designed to quantify any within-person (paired) differences in reimbursement between the original PACSSI and the PACSSI-F. RESULTS: PACSSI-F provides reimbursement for sustainable PC services and was cost-advantageous over PACSSI by $69.92 PMPM for 28.6% of the seriously ill population. CONCLUSIONS: Modeling of the PACSSI-F using secondary data provides a novel example of economic forecasting for alternative reimbursement structures in PC. Alternative reimbursement payment policies are necessary to expand PC for the seriously ill population.

Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS.

Purpose: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Patients and Methods: We conducted a descriptive retrospective database study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11th June 2020 and are iteratively updated via GitHub. We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19, and 113,627 hospitalized with COVID-19 requiring intensive services. Results: We aggregated over 22,000 unique characteristics describing patients with COVID-19. All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts and are readily available online. Globally, we observed similarities in the USA and Europe: more women diagnosed than men but more men hospitalized than women, most diagnosed cases between 25 and 60 years of age versus most hospitalized cases between 60 and 80 years of age. South Korea differed with more women than men hospitalized. Common comorbidities included type 2 diabetes, hypertension, chronic kidney disease and heart disease. Common presenting symptoms were dyspnea, cough and fever. Symptom data availability was more common in hospitalized cohorts than diagnosed. Conclusion: We constructed a global, multi-centre view to describe trends in COVID-19 progression, management and evolution over time. By characterising baseline variability in patients and geography, our work provides critical context that may otherwise be misconstrued as data quality issues. This is important as we perform studies on adverse events of special interest in COVID-19 vaccine surveillance.

Dermatologic Research Potential of the Observational Health Data Sciences and Informatics (OHDSI) Network.

BACKGROUND: The Observational Health Data Sciences and Informatics (OHDSI) network enables access to billions of deidentified, standardized health records and built-in analytics software for observational health research, with numerous potential applications to dermatology. While the use of the OHDSI has increased steadily over the past several years, review of the literature reveals few studies utilizing OHDSI in dermatology. To our knowledge, the University of Colorado School of Medicine is unique in its use of OHDSI for dermatology big data research. SUMMARY: A PubMed search was conducted in August 2020, followed by a literature review, with 24 of the 72 screened articles selected for inclusion. In this review, we discuss the ways OHDSI has been used to compile and analyze data, improve prediction and estimation capabilities, and inform treatment guidelines across specialties. We also discuss the potential for OHDSI in dermatology - specifically, ways that it could reveal adherence to available guidelines, establish standardized protocols, and ensure health equity. Key Messages: OHDSI has demonstrated broad utility in medicine. Adoption of OHDSI by the field of dermatology would facilitate big data research, allow for examination of current prescribing and treatment patterns without clear best practice guidelines, improve the dermatologic knowledge base and, by extension, improve patient outcomes.

Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study.

OBJECTIVE: To characterise patients with and without prevalent hypertension and COVID-19 and to assess adverse outcomes in both inpatients and outpatients. DESIGN AND SETTING: This is a retrospective cohort study using 15 healthcare databases (primary and secondary electronic healthcare records, insurance and national claims data) from the USA, Europe and South Korea, standardised to the Observational Medical Outcomes Partnership common data model. Data were gathered from 1 March to 31 October 2020. PARTICIPANTS: Two non-mutually exclusive cohorts were defined: (1) individuals diagnosed with COVID-19 (diagnosed cohort) and (2) individuals hospitalised with COVID-19 (hospitalised cohort), and stratified by hypertension status. Follow-up was from COVID-19 diagnosis/hospitalisation to death, end of the study period or 30 days. OUTCOMES: Demographics, comorbidities and 30-day outcomes (hospitalisation and death for the 'diagnosed' cohort and adverse events and death for the 'hospitalised' cohort) were reported. RESULTS: We identified 2 851 035 diagnosed and 563 708 hospitalised patients with COVID-19. Hypertension was more prevalent in the latter (ranging across databases from 17.4% (95% CI 17.2 to 17.6) to 61.4% (95% CI 61.0 to 61.8) and from 25.6% (95% CI 24.6 to 26.6) to 85.9% (95% CI 85.2 to 86.6)). Patients in both cohorts with hypertension were predominantly >50 years old and female. Patients with hypertension were frequently diagnosed with obesity, heart disease, dyslipidaemia and diabetes. Compared with patients without hypertension, patients with hypertension in the COVID-19 diagnosed cohort had more hospitalisations (ranging from 1.3% (95% CI 0.4 to 2.2) to 41.1% (95% CI 39.5 to 42.7) vs from 1.4% (95% CI 0.9 to 1.9) to 15.9% (95% CI 14.9 to 16.9)) and increased mortality (ranging from 0.3% (95% CI 0.1 to 0.5) to 18.5% (95% CI 15.7 to 21.3) vs from 0.2% (95% CI 0.2 to 0.2) to 11.8% (95% CI 10.8 to 12.8)). Patients in the COVID-19 hospitalised cohort with hypertension were more likely to have acute respiratory distress syndrome (ranging from 0.1% (95% CI 0.0 to 0.2) to 65.6% (95% CI 62.5 to 68.7) vs from 0.1% (95% CI 0.0 to 0.2) to 54.7% (95% CI 50.5 to 58.9)), arrhythmia (ranging from 0.5% (95% CI 0.3 to 0.7) to 45.8% (95% CI 42.6 to 49.0) vs from 0.4% (95% CI 0.3 to 0.5) to 36.8% (95% CI 32.7 to 40.9)) and increased mortality (ranging from 1.8% (95% CI 0.4 to 3.2) to 25.1% (95% CI 23.0 to 27.2) vs from 0.7% (95% CI 0.5 to 0.9) to 10.9% (95% CI 10.4 to 11.4)) than patients without hypertension. CONCLUSIONS: COVID-19 patients with hypertension were more likely to suffer severe outcomes, hospitalisations and deaths compared with those without hypertension.

An evaluation of clinical decision support tools for Patient Health Questionnaire-9 administration.

INTRODUCTION: Many health care institutions are working to improve depression screening and management with the use of the Patient Health Questionnaire 9 (PHQ-9). Clinical decision support (CDS) within the EHR is one strategy, but little is known about effective approaches to design or implement such CDS. The purpose of this study is to compare implementation outcomes of two versions of a CDS tool to improve PHQ-9 administration for patients with depression. METHODS: This was a retrospective, observational study comparing two versions of a CDS. Version 1 interrupted clinician workflow, and version 2 did not interrupt workflow. Outcomes of interest included reach, adoption, and effectiveness. PHQ-9 administration was determined by chart review. Chi-square tests were used to evaluate associations between PHQ-9 administration with versions 1 and 2. RESULTS: Version 1 resulted in PHQ-9 administration 77 times (15.3% of 504 unique encounters) compared with 49 times (9.8% of 502 unique encounters) with version 2 (P = .011). DISCUSSION: An interruptive CDS tool may be more effective at increasing PHQ-9 administration, but a noninterruptive CDS tool may be preferred to minimize alert fatigue despite a decrease in effectiveness.