SCALE-UP II: protocol for a pragmatic randomised trial examining population health management interventions to increase the uptake of at-home COVID-19 testing in community health centres.

INTRODUCTION: SCALE-UP II aims to investigate the effectiveness of population health management interventions using text messaging (TM), chatbots and patient navigation (PN) in increasing the uptake of at-home COVID-19 testing among patients in historically marginalised communities, specifically, those receiving care at community health centres (CHCs). METHODS AND ANALYSIS: The trial is a multisite, randomised pragmatic clinical trial. Eligible patients are >18 years old with a primary care visit in the last 3 years at one of the participating CHCs. Demographic data will be obtained from CHC electronic health records. Patients will be randomised to one of two factorial designs based on smartphone ownership. Patients who self-report replying to a text message that they have a smartphone will be randomised in a 2×2×2 factorial fashion to receive (1) chatbot or TM; (2) PN (yes or no); and (3) repeated offers to interact with the interventions every 10 or 30 days. Participants who do not self-report as having a smartphone will be randomised in a 2×2 factorial fashion to receive (1) TM with or without PN; and (2) repeated offers every 10 or 30 days. The interventions will be sent in English or Spanish, with an option to request at-home COVID-19 test kits. The primary outcome is the proportion of participants using at-home COVID-19 tests during a 90-day follow-up. The study will evaluate the main effects and interactions among interventions, implementation outcomes and predictors and moderators of study outcomes. Statistical analyses will include logistic regression, stratified subgroup analyses and adjustment for stratification factors. ETHICS AND DISSEMINATION: The protocol was approved by the University of Utah Institutional Review Board. On completion, study data will be made available in compliance with National Institutes of Health data sharing policies. Results will be disseminated through study partners and peer-reviewed publications. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov: NCT05533918 and NCT05533359.

Rapid-cycle designs to adapt interventions for COVID-19 in safety-net healthcare systems.

Racial/ethnic minority, low socioeconomic status, and rural populations are disproportionately affected by COVID-19. Developing and evaluating interventions to address COVID-19 testing and vaccination among these populations are crucial to improving health inequities. The purpose of this paper is to describe the application of a rapid-cycle design and adaptation process from an ongoing trial to address COVID-19 among safety-net healthcare system patients. The rapid-cycle design and adaptation process included: (a) assessing context and determining relevant models/frameworks; (b) determining core and modifiable components of interventions; and (c) conducting iterative adaptations using Plan-Do-Study-Act (PDSA) cycles. PDSA cycles included: Plan. Gather information from potential adopters/implementers (e.g., Community Health Center [CHC] staff/patients) and design initial interventions; Do. Implement interventions in single CHC or patient cohort; Study. Examine process, outcome, and context data (e.g., infection rates); and, Act. If necessary, refine interventions based on process and outcome data, then disseminate interventions to other CHCs and patient cohorts. Seven CHC systems with 26 clinics participated in the trial. Rapid-cycle, PDSA-based adaptations were made to adapt to evolving COVID-19-related needs. Near real-time data used for adaptation included data on infection hot spots, CHC capacity, stakeholder priorities, local/national policies, and testing/vaccine availability. Adaptations included those to study design, intervention content, and intervention cohorts. Decision-making included multiple stakeholders (e.g., State Department of Health, Primary Care Association, CHCs, patients, researchers). Rapid-cycle designs may improve the relevance and timeliness of interventions for CHCs and other settings that provide care to populations experiencing health inequities, and for rapidly evolving healthcare challenges such as COVID-19.

Racial/ethnic minority, low socioeconomic status, and rural populations experience a disproportionate burden of COVID-19. Finding ways to address COVID-19 among these populations is crucial to improving health inequities. The purpose of this paper is to describe the rapid-cycle design process for a research project to address COVID-19 testing and vaccination among safety-net healthcare system patients. The project used real-time information on changes in COVID-19 policy (e.g., vaccination authorization), local case rates, and the capacity of safety-net healthcare systems to iteratively change interventions to ensure interventions were relevant and timely for patients. Key changes that were made to interventions included a change to the study design to include vaccination as a focus of the interventions after the vaccine was authorized; change in intervention content according to the capacity of local Community Health Centers to provide testing to patients; and changes to intervention cohorts such that priority groups of patients were selected for intervention based on characteristics including age, residency in an infection "hot spot," or race/ethnicity. Iteratively improving interventions based on real-time data collection may increase intervention relevance and timeliness, and rapid-cycle adaptions can be successfully implemented in resource constrained settings like safety-net healthcare systems.

GARDE: a standards-based clinical decision support platform for identifying population health management cohorts.

Population health management (PHM) is an important approach to promote wellness and deliver health care to targeted individuals who meet criteria for preventive measures or treatment. A critical component for any PHM program is a data analytics platform that can target those eligible individuals. OBJECTIVE: The aim of this study was to design and implement a scalable standards-based clinical decision support (CDS) approach to identify patient cohorts for PHM and maximize opportunities for multi-site dissemination. MATERIALS AND METHODS: An architecture was established to support bidirectional data exchanges between heterogeneous electronic health record (EHR) data sources, PHM systems, and CDS components. HL7 Fast Healthcare Interoperability Resources and CDS Hooks were used to facilitate interoperability and dissemination. The approach was validated by deploying the platform at multiple sites to identify patients who meet the criteria for genetic evaluation of familial cancer. RESULTS: The Genetic Cancer Risk Detector (GARDE) platform was created and is comprised of four components: (1) an open-source CDS Hooks server for computing patient eligibility for PHM cohorts, (2) an open-source Population Coordinator that processes GARDE requests and communicates results to a PHM system, (3) an EHR Patient Data Repository, and (4) EHR PHM Tools to manage patients and perform outreach functions. Site-specific deployments were performed on onsite virtual machines and cloud-based Amazon Web Services. DISCUSSION: GARDE's component architecture establishes generalizable standards-based methods for computing PHM cohorts. Replicating deployments using one of the established deployment methods requires minimal local customization. Most of the deployment effort was related to obtaining site-specific information technology governance approvals.

MULTIPROFESSIONAL ELECTRONIC PROTOCOL FOR DIGESTIVE SURGERY VALIDATION.

BACKGROUND: The creation of a computerized clinical database with the ability to collect prospective information from patients and with the possibility of rescue and crossing data enables scientific studies of higher quality and credibility in less time. AIM: To validate, in a single master protocol, the clinical data referring to Surgery of Digestive System in a multidisciplinary way, incorporating in the SINPE© platform, and to verify the incidence of digestive diseases based on the prospectively performed collections. METHOD: Organize in one software, in a standardized structure, all the pre-existing items in the SINPE© database; the theoretical basis was computerized through the MIGRASINPE© module creating a single multiprofessional master protocol for use as a whole. RESULTS: The existing specific protocols were created and/or adapted - they correspond to the most prevalent digestive diseases - unifying them. The possibility of multiprofessional use was created by integrating all data collected from medicine, nursing, physiotherapy, nutrition and health management in a prospective way. The total was 4,281 collections, distributed as follows: extrahepatic biliary tract, n=1,786; esophagus, n=1015; anorectal, n=736; colon, n=550; small intestine, n=86; pancreas, n=71; stomach, n=23; liver, n=14. CONCLUSIONS: The validation of the unification and structuring in a single master protocol of the clinical data referring to the Surgery of the Digestive System in a multiprofessional and prospective way was possible and the epidemiological study carried out allowed to identify the most prevalent digestive diseases.

Multiprofessional electronic protocol for digestive surgery validation / Validação de protocolo eletrônico multiprofissional para cirurgia do aparelho digestivo

Abstract Background: The creation of a computerized clinical database with the ability to collect prospective information from patients and with the possibility of rescue and crossing data enables scientific studies of higher quality and credibility in less time. Aim: To validate, in a single master protocol, the clinical data referring to Surgery of Digestive System in a multidisciplinary way, incorporating in the SINPE© platform, and to verify the incidence of digestive diseases based on the prospectively performed collections. Method: Organize in one software, in a standardized structure, all the pre-existing items in the SINPE© database; the theoretical basis was computerized through the MIGRASINPE© module creating a single multiprofessional master protocol for use as a whole. Results: The existing specific protocols were created and/or adapted - they correspond to the most prevalent digestive diseases - unifying them. The possibility of multiprofessional use was created by integrating all data collected from medicine, nursing, physiotherapy, nutrition and health management in a prospective way. The total was 4,281 collections, distributed as follows: extrahepatic biliary tract, n=1,786; esophagus, n=1015; anorectal, n=736; colon, n=550; small intestine, n=86; pancreas, n=71; stomach, n=23; liver, n=14. Conclusions: The validation of the unification and structuring in a single master protocol of the clinical data referring to the Surgery of the Digestive System in a multiprofessional and prospective way was possible and the epidemiological study carried out allowed to identify the most prevalent digestive diseases.

RESUMO Racional: A criação de um banco de dados clínicos informatizado com a capacidade de coletar informações dos pacientes de forma prospectiva e com possibilidade de resgate e cruzamento viabiliza estudos científicos de maior qualidade e credibilidade em menor tempo. Objetivos: Validar em único protocolo mestre os dados clínicos referentes à Cirurgia do Aparelho Digestivo de forma multiprofissional incorporando-o na plataforma SINPE©, e verificar a incidência das doenças digestivas com base nas coletas prospectivamente realizadas. Método: Organizar no software em estrutura padronizada todos os itens pré-existentes no banco de dados do SINPE©, informatizar a base teórica através do módulo MIGRASINPE© criando-se um único protocolo mestre multiprofissional para uso como um todo. Resultados: Foram criados e/ou adaptados os protocolos específicos existentes que correspondem às doenças digestivas mais prevalentes unificando-os. Criou-se a possibilidade de uso multiprofissional integrando todos os dados coletados da medicina, enfermagem, fisioterapia, nutrição e gestão em saúde de maneira prospectiva. O total foi de 4.281 coletas assim distribuídas: vias biliares extra-hepáticas, n=1.786; esôfago, n=1015; anorretais, n=736; cólon, n=550; intestino delgado, n=86; pâncreas, n=71; estômago, n=23; fígado, n=14. Conclusões: A validação da unificação e estruturação em único protocolo mestre dos dados clínicos referentes à Cirurgia do Aparelho Digestivo de forma multiprofissional e prospectiva foi possível e o estudo epidemiológico realizado permitiu identificar as doenças mais prevalentes nesse aparelho.

MULTIPROFESSIONAL ELECTRONIC PROTOCOL FOR DIGESTIVE SURGERY VALIDATION / PROTOCOLO ELECTRÓNICO MULTIPROFESIONAL PARA LA VALIDACIÓN DE CIRUGÍA DIGESTIVA / VALIDAÇÃO DE PROTOCOLO ELETRÔNICO MULTIPROFISSIONAL PARA CIRURGIA DO APARELHO DIGESTIVO

Background: The creation of a computerized clinical database with the ability to collect prospective information from patients and with the possibility of rescue and crossing data enables scientific studies of higher quality and credibility in less time. Aim: To validate, in a single master protocol, the clinical data referring to Surgery of Digestive System in a multidisciplinary way, incorporating it in the SINPEâ platform, and to verify the incidence of digestive diseases based on the prospectively performed collections. Method: Organize in one software, in a standardized structure, all the pre-existing items in the SINPEâ database; the theoretical basis was computerized through the MIGRASINPEâ module creating a single multiprofessional master protocol for use as a whole. Results: The existing specific protocols were created and/or adapted ­ they correspond to the most prevalent digestive diseases - unifying them. The possibility of multiprofessional use was created by integrating all data collected from Medicine, Nursing, Physiotherapy, Nutrition and Health Management in a prospective way. The total was 4,281 collections, distributed as follows: extrahepatic biliary tract n=1,786; esophagus n=1015; anorectal n=736; colon n=550; small intestine n=86; pancreas n=71; stomach=23; liver n=14. Conclusions: The validation of the unification and structuring in a single master protocol of the clinical data referring to the Surgery of the Digestive System in a multiprofessional and prospective way was possible and the epidemiological study carried out allowed to identify the most prevalent digestive diseases in a tertiary university hospital.

Racional: A criação de um banco de dados clínicos informatizado com a capacidade de coletar informações dos pacientes de forma prospectiva e com possibilidade de resgate e cruzamento viabiliza estudos científicos de maior qualidade e credibilidade em menor tempo. Objetivos: Validar em único protocolo mestre os dados clínicos referentes à Cirurgia do Aparelho Digestivo de forma multiprofissional incorporando-o na plataforma SINPEâ, e verificar a incidência das doenças digestivas com base nas coletas prospectivamente realizadas. Método: Organizar no software em estrutura padronizada todos os itens pré-existentes no banco de dados do SINPEâ, informatizou-se a base teórica através do módulo MIGRASINPE© criando-se um único protocolo mestre multiprofissional para uso como um todo. Resultados: Foram criados e/ou adaptados os protocolos específicos existentes - que correspondem às doenças mais prevalentes que assolam este aparelho ­ unificando-os. Criou-se a possibilidade de uso multiprofissional integrando todos os dados coletados da Medicina, Enfermagem, Fisioterapia, Nutrição e Gestão em Saúde de maneira prospectiva. O total foi de 4.281 coletas assim distribuídas: vias biliares extra-hepáticas n=1.786; esôfago n=1015; anorretais n=736; cólon n=550; intestino delgado n=86; pâncreas n=71; estômago=23; fígado n=14.  Conclusões: A validação da unificação e estruturação em único protocolo mestre dos dados clínicos referentes à Cirurgia do Aparelho Digestivo de forma multiprofissional e prospectiva foi possível e o estudo epidemiológico realizado permitiu identificar as doenças mais prevalentes nesse aparelho em um hospital universitário terciário.

Evolution in clinical knowledge management strategy at Intermountain Healthcare.

In this manuscript, we present an overview of the clinical knowledge management strategy at Intermountain Healthcare in support of our electronic medical record systems. Intermountain first initiated efforts in developing a centralized enterprise knowledge repository in 2001. Applications developed, areas of emphasis served, and key areas of focus are presented. We also detail historical and current areas of emphasis, in response to business needs.

Glycemic control through computerized subcutaneous insulin calculators.

Sliding scale insulin (SSI) is a reactive therapy and does not maintain euglycemia in hospitalized patients. A combination of basal insulin, prandial insulin, and correction factor dosing provides a more consistent insulin state encouraging improved glycemic control. Intermountain Healthcare developed an application consisting of four calculators incorporating scheduled (basal and prandial) and correction-factor insulin. The result is a patient-specific order set with calculated insulin orders, a correction factor dosing table, and a carbohydrate dosing table. This paper describes the SQIC, access, usage monitoring, and challenges and solutions to the computerized decision support application created to replace SSI.