scholarly journals Toward Standardized Monitoring of Patients With Chronic Diseases in Primary Care Using Electronic Medical Records: Systematic Review (Preprint)

2018 ◽  
Author(s):  
Leandra Falck ◽  
Marco Zoller ◽  
Thomas Rosemann ◽  
Nahara Anani Martínez-González ◽  
Corinne Chmiel

BACKGROUND Long-term care for patients with chronic diseases poses a huge challenge in primary care. In particular, there is a deficit regarding monitoring and structured follow-up. Appropriate electronic medical records (EMRs) could help improving this but, so far, there are no evidence-based specifications concerning the indicators that should be monitored at regular intervals. OBJECTIVE The aim was to identify and collect a set of evidence-based indicators that could be used for monitoring chronic conditions at regular intervals in primary care using EMRs. METHODS We searched MEDLINE (Ovid), Embase (Elsevier), the Cochrane Library (Wiley), the reference lists of included studies and relevant reviews, and the content of clinical guidelines. We included primary studies and guidelines reporting about indicators that allow for the assessment of care and help monitor the status and process of disease for five chronic conditions, including type 2 diabetes mellitus, asthma, arterial hypertension, chronic heart failure, and osteoarthritis. RESULTS The use of the term “monitoring” in terms of disease management and long-term care for patients with chronic diseases is not widely used in the literature. Nevertheless, we identified a substantial number of disease-specific indicators that can be used for routine monitoring of chronic diseases in primary care by means of EMRs. CONCLUSIONS To our knowledge, this is the first systematic review summarizing the existing scientific evidence on the standardized long-term monitoring of chronic diseases using EMRs. In a second step, our extensive set of indicators will serve as a generic template for evaluating their usability by means of an adapted Delphi procedure. In a third step, the indicators will be summarized into a user-friendly EMR layout.

10.2196/14483 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e14483
Author(s):  
Leandra Falck ◽  
Marco Zoller ◽  
Thomas Rosemann ◽  
Nahara Anani Martínez-González ◽  
Corinne Chmiel

Background Long-term care for patients with chronic diseases poses a huge challenge in primary care. There are deficits in care, especially regarding monitoring and creating structured follow-ups. Appropriate electronic medical records (EMR) could support this, but so far, no generic evidence-based template exists. Objective The aim of this study is to develop an evidence-based standardized, generic template that improves the monitoring of patients with chronic conditions in primary care by means of an EMR. Methods We used an adapted Delphi procedure to evaluate a structured set of evidence-based monitoring indicators for 5 highly prevalent chronic diseases (ie, diabetes mellitus type 2, asthma, arterial hypertension, chronic heart failure, and osteoarthritis). We assessed the indicators’ utility in practice and summarized them into a user-friendly layout. Results This multistep procedure resulted in a monitoring tool consisting of condensed sets of indicators, which were divided into sublayers to maximize ergonomics. A cockpit serves as an overview of fixed goals and a set of procedures to facilitate disease management. An additional tab contains information on nondisease-specific indicators such as allergies and vital signs. Conclusions Our generic template systematically integrates the existing scientific evidence for the standardized long-term monitoring of chronic conditions. It contains a user-friendly and clinically sensible layout. This template can improve the care for patients with chronic diseases when using EMRs in primary care.


2019 ◽  
Author(s):  
Leandra Falck ◽  
Marco Zoller ◽  
Thomas Rosemann ◽  
Nahara Anani Martínez-González ◽  
Corinne Chmiel

BACKGROUND Long-term care for patients with chronic diseases poses a huge challenge in primary care. There are deficits in care, especially regarding monitoring and creating structured follow-ups. Appropriate electronic medical records (EMR) could support this, but so far, no generic evidence-based template exists. OBJECTIVE The aim of this study is to develop an evidence-based standardized, generic template that improves the monitoring of patients with chronic conditions in primary care by means of an EMR. METHODS We used an adapted Delphi procedure to evaluate a structured set of evidence-based monitoring indicators for 5 highly prevalent chronic diseases (ie, diabetes mellitus type 2, asthma, arterial hypertension, chronic heart failure, and osteoarthritis). We assessed the indicators’ utility in practice and summarized them into a user-friendly layout. RESULTS This multistep procedure resulted in a monitoring tool consisting of condensed sets of indicators, which were divided into sublayers to maximize ergonomics. A cockpit serves as an overview of fixed goals and a set of procedures to facilitate disease management. An additional tab contains information on nondisease-specific indicators such as allergies and vital signs. CONCLUSIONS Our generic template systematically integrates the existing scientific evidence for the standardized long-term monitoring of chronic conditions. It contains a user-friendly and clinically sensible layout. This template can improve the care for patients with chronic diseases when using EMRs in primary care.


2010 ◽  
Vol 20 (2) ◽  
pp. 131-142 ◽  
Author(s):  
Krista Phillips ◽  
Chris Wheeler ◽  
Josh Campbell ◽  
Alberto Coustasse

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Natalia Arias-Casais ◽  
Eduardo Garralda ◽  
Miguel Antonio Sánchez-Cárdenas ◽  
John Y. Rhee ◽  
Carlos Centeno

Abstract Background Palliative care (PC) development cannot only be assessed from a specialized provision perspective. Recently, PC integration into other health systems has been identified as a component of specialized development. Yet, there is a lack of indicators to assess PC integration for pediatrics, long-term care facilities, primary care, volunteering and cardiology. Aim To identify and design indicators capable of exploring national-level integration of PC into the areas mentioned above. Methods A process composed of a desk literature review, consultation and semi-structured interviews with EAPC task force members and a rating process was performed to create a list of indicators for the assessment of PC integration into pediatrics, long-term care facilities, primary care, cardiology, and volunteering. The new indicators were mapped onto the four domains of the WHO Public Health Strategy. Results The literature review identified experts with whom 11 semi-structured interviews were conducted. A total of 34 new indicators were identified for national-level monitoring of palliative care integration. Ten were for pediatrics, five for primary care, six for long-term care facilities, seven for volunteering, and six for cardiology. All indicators mapped onto the WHO domains of policy and education while only pediatrics had an indicator that mapped onto the domain of services. No indicators mapped onto the domain of use of medicines. Conclusion Meaningful contributions are being made in Europe towards the integration of PC into the explored fields. These efforts should be assessed in future regional mapping studies using indicators to deliver a more complete picture of PC development.


2018 ◽  
Vol 14 (2) ◽  
pp. 124-126 ◽  
Author(s):  
Janet K. Sluggett ◽  
Ivanka Hendrix ◽  
J. Simon Bell

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