scholarly journals Evaluating a post-implementation electronic medical record training intervention for diabetes management in primary care

2019 ◽  
Vol 26 (1) ◽  
pp. e100086
Author(s):  
Gurprit Kaur Randhawa ◽  
Aviv Shachak ◽  
Karen L Courtney ◽  
Andre Kushniruk
Keyword(s):  
Primary Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Health Informatics ◽  
Primary Care Physicians ◽  
Best Practice ◽  
Diabetes Management ◽  
Small Scale ◽  
Control Group ◽  
Video Tutorials

ObjectiveThis study evaluated the potential for electronic medical record (EMR) video tutorials to improve diabetes (type 1 and 2) care processes by primary care physicians (PCP) using OSCAR EMR.DesignA QUAN(qual) mixed methods approach with an embedded design was used for the overall research study. EMR video tutorials were developed based on the chronic care model (CCM), value-adding EMR use, best practice guidelines for designing software video tutorials and clinician-led EMR training.ResultsIn total, 18 PCPs from British Columbia, Canada, participated in the study. The video EMR intervention elicited a statistically significant increase in EMR advanced feature use for diabetes care, with a large effect size (ie, F(1,51)=6.808, p<0.001, partial η2=0.286).ConclusionThis small-scale efficacy study demonstrates the potential of CCM-based EMR video tutorials to improve EMR use for chronic diseases, such as diabetes. A larger-scale effectiveness study with a control group is needed to further validate the study findings and determine their generalisability. The demonstrated efficacy of the intervention suggests that EMR video tutorials may be a cost-effective, sustainable and scalable strategy for supporting EMR optimisation and the continuous learning and development of PCPs. Health informatics practitioners may develop video tutorials for their respective EMR/electronic health record software based on theory and best practices for video tutorial design. For patients, EMR video tutorials may lead to improved tracking of processes of care for diabetes, and potentially other chronic conditions.

ICARUSS: An effective model for risk factor management in stroke survivors

2019 ◽  
Vol 15 (4) ◽  
pp. 438-453 ◽  
Author(s):  
Jacques Joubert ◽  
Stephen M Davis ◽  
Geoffrey A Donnan ◽  
Christopher Levi ◽  
Graeme Gonzales ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Risk Factor ◽  
Primary Care Physicians ◽  
Best Practice ◽  
Intervention Group ◽  
Control Group ◽  
Stroke Survivors ◽  
Risk Factor Management ◽  
Practice Recommendations

Background and purpose After an initial stroke, the risk of recurrent stroke is high. Models that implement best-practice recommendations for risk factor management in stroke survivors to prevent stroke recurrence remain elusive. We examined a model which focuses on vascular risk factor management to prevent stroke recurrence in survivors returning to their primary care physicians. This model is coordinated from the stroke unit, integrates specialist stroke services with primary care physicians, and directly involves patients and carers in risk factor management. It is underpinned by the shared care principle in which there is joint participation of specialists as well as primary care physicians in a planned, integrated delivery of care with ongoing involvement of patients and carers, a structure which encourages implementation of best-practice recommendations as well as transferability and sustainability. We hypothesized that an integrated, multimodal intervention based on a shared-care model which supports joint participation of stroke specialists and primary care physicians would improve the implementation of best-practice recommendations for risk factor management in stroke survivors returning to the community. Methods We undertook a double-blind randomized controlled trial, testing the model in three Australian cities using stroke survivors admitted to stroke units and discharged from hospital to return to their primary care physicians. The model was a shared care, multifaceted integrated program which included bidirectional feedback between general practitioner and specialist unit, education, and engagement of patient and carer in self-management with ongoing input from a multidisciplinary team. The primary endpoint was improvement or abolition of risk factors such as raised blood pressure, diabetes, hyperlipidemia, the modification of adverse life-style factors such as lack of exercise, smoking and alcohol abuse and adherence to preventive medication at one year. Intermediate measurement points were scheduled at three monthly intervals. Analysis was by intention to treat, evaluated by covariance or a linear model adjusting for confounding factors or variance of base-line risk factors. The study was registered as ACTRN = 1261100026498. Results The study population was as follows: intervention ( n = 112), control ( n = 137). At baseline, there was no statistical difference between the groups for any variable. At the 12-month evaluation, there was a significant decrease in systolic blood pressure from baseline in the intervention group of 5.2 mmHg ( p < 0.01). This change was not observed in the control group ( p = 0.29). Moreover, at 12 months the mean systolic blood pressure in the intervention group was 129.4 mmHg (SD 14.7), a result which was not obtained in controls. Fasting total cholesterol as well as triglycerides was reduced significantly in the intervention group (both p < 0.01) but this was not the case in the control group ( p = 0.11 and p = 0.27, respectively). At 12 months, there was no change in BMI in the intervention group but there was a significant increase in BMI ( p = 0.02) in the control group. At 12 months in the intervention group, the mean distance walked with ease compared to the baseline measurements was increased by a mean distance of 600 m while in the control group the distance walked with ease was reduced compared to that measured at baseline. At 12 months, the Barthel index in the intervention group demonstrated improved function ( p = 0.01), but no change was observed in controls. At 12 months in the intervention group, there was a significant decrease in number of standard alcoholic drinks consumed per week compared to the baseline ( p = 0.04). This was not observed in the control group ( p = 0.34). Conclusion In stroke survivors, the ICARUSS (Integrated Care for the Reduction of Secondary Stroke) model is superior to usual care with respect to best-practice recommendations for traditional risk factors as well as behavioral and functional outcomes.

scholarly journals Effective Design, Development, and Evaluation of Video Tutorials for Electronic Medical Record Training

ACI Open ◽  
2020 ◽  
Vol 04 (01) ◽  
pp. e69-e82
Author(s):  
Gurprit K. Randhawa ◽  
Aviv Shachak ◽  
Karen L. Courtney ◽  
Andre Kushniruk
Keyword(s):  
Mixed Methods ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Thematic Analysis ◽  
Diabetes Care ◽  
Primary Care Physicians ◽  
Qualitative Data ◽  
The United States ◽  
Evidence Based ◽  
Video Tutorials

Abstract Background Electronic medical record (EMR) use by primary care physicians (PCP) in the United States and Canada is suboptimal, especially for supporting chronic diseases like diabetes. PCPs need postimplementation training to achieve value-adding EMR use. Video tutorials demonstrate how to accomplish tasks using software. However, there is a dearth of research on the use of video tutorials for EMR training. Objective The purpose of the study was to design, develop, and evaluate video tutorials for training PCPs in using EMR advanced features for diabetes care. This study addressed three research questions related to PCP's views of video tutorials as an EMR training method/approach, barriers, and facilitators to applying the EMR video tutorials to PCPs' practice, and how the design of EMR video tutorials can be improved. Methods The overall research study employed a QUAN (qual) mixed methods approach with an embedded design. This article focuses on the qualitative phase of the mixed methods study. A series of four theory-informed and evidence-based video tutorials for diabetes care was developed with a physician champion. Qualitative data were collected at four time points: 1 month before (O1), immediately before (O2), 3 months after (O3), and 6 months (O4) after the intervention. Semistructured interviews with participants were held at O3 and O4. Qualitative data were analyzed using thematic analysis. Results In total, 14 PCPs from the overall study participated in interviews (78%). The thematic analysis of the qualitative data revealed seven themes, which fall into two main categories: (1) design and development of EMR video tutorials, and (2) adoption and use of EMR video tutorials. Conclusion PCPs liked the EMR video tutorials for diabetes care, and would like more EMR video tutorials on various topics and EMR use levels. The study offers a roadmap for health informatics professionals everywhere to develop EMR training videos that meet evidence-based design criteria. It also help to identify opportunities to improve the design, delivery, and adoption of EMR video tutorials for future training interventions.

Outpatient Psychiatric Documentation Use by Primary Care Physicians Following De-Sensitization in the Electronic Medical Record

2014 ◽  
Vol 39 (6) ◽  
pp. 639-644
Author(s):  
Emilie Bhe ◽  
Scott Summers ◽  
Murat Pakyurek ◽  
Matthew Soulier ◽  
Jessica Ferranti
Keyword(s):  
Primary Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Primary Care Physicians

Identifying individuals with multiple sclerosis in an electronic medical record

2014 ◽  
Vol 21 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Kristen M Krysko ◽  
Noah M Ivers ◽  
Jacqueline Young ◽  
Paul O’Connor ◽  
Karen Tu
Keyword(s):  
Primary Care ◽  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Primary Care Physicians ◽  
Policy Makers ◽  
Patient Profile ◽  
Physician Billing ◽  
Chart Abstraction

Background: The increasing use of electronic medical records (EMRs) presents an opportunity to efficiently evaluate and improve quality of care for individuals with MS. Objectives: We aimed to establish an algorithm to identify individuals with MS within EMRs. Methods: We used a sample of 73,003 adult patients from 83 primary care physicians in Ontario using the Electronic Medical Record Administrative data Linked Database (EMRALD). A reference standard of 247 individuals with MS was identified through chart abstraction. The accuracy of identifying individuals with MS in an EMR was assessed using information in the cumulative patient profile (CPP), prescriptions and physician billing codes. Results: An algorithm identifying MS in the CPP performed well with 91.5% sensitivity, 100% specificity, 98.7% PPV and 100% NPV. The addition of prescriptions for MS-specific medications and physician billing code 340 used four times within any 12-month timeframe slightly improved the sensitivity to 92.3% with a PPV of 97.9%. Conclusions: Data within an EMR can be used to accurately identify patients with MS. This study has positive implications for clinicians, researchers and policy makers as it provides the potential to identify cohorts of MS patients in the primary care setting to examine quality of care.

scholarly journals Primary Care Physicians’ Experience Using Advanced Electronic Medical Record Features to Support Chronic Disease Prevention and Management: Qualitative Study

10.2196/13318 ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. e13318 ◽  
Author(s):  
Rana Melissa Rahal ◽  
Jay Mercer ◽  
Craig Kuziemsky ◽  
Sanni Yaya
Keyword(s):  
Primary Care ◽  
Chronic Disease ◽  
Disease Prevention ◽  
Medical Record ◽  
Chronic Diseases ◽  
Electronic Medical Record ◽  
Primary Care Physicians ◽  
Evaluation Framework ◽  
Chronic Disease Prevention

Background Chronic diseases are the leading cause of death worldwide. In Canada, more than half of all health care spending is used for managing chronic diseases. Although studies have shown that the use of advanced features of electronic medical record (EMR) systems improves the quality of chronic disease prevention and management (CDPM), a 2012 international survey found that Canadian physicians were the least likely to use 2 or more EMR system functions. Some studies show that maturity vis-à-vis clinicians’ EMR use is an important factor when evaluating the use of advanced features of health information systems. The Clinical Adoption Framework (CAF), a common evaluation framework used to assess the success of EMR adoption, does not incorporate the process of maturing. Nevertheless, the CAF and studies that discuss the barriers to and facilitators of the adoption of EMR systems can be the basis for exploring the use of advanced EMR features. Objective This study aimed to explore the factors that primary care physicians in Ontario identified as influencing their use of advanced EMR features to support CDPM and to extend the CAF to include primary care physicians’ perceptions of how their use of EMRs for performing clinical tasks has matured. Methods Guided by the CAF, directed content analysis was used to explore the barriers and facilitating factors encountered by primary care physicians when using EMR features. Participants were primary care physicians in Ontario, Canada, who use EMRs. Data were coded using categories from the CAF. Results A total of 9 face-to-face interviews were conducted from January 2017 to July 2017. Dimensions from the CAF emerged from the data, and one new dimension was derived: physicians’ perception of their maturity of EMR use. Primary care physicians identified the following key factors that impacted their use of advanced EMR features: performance of EMR features, information quality of EMR features, training and technical support, user satisfaction, provider’s productivity, personal characteristics and roles, cost benefits of EMR features, EMR systems infrastructure, funding, and government leadership. Conclusions The CAF was extended to include physicians’ perceptions of how their use of EMR systems had matured. Most participants agreed that their use of EMR systems for performing clinical tasks had evolved since their adoption of the system and that certain system features facilitated their care for patients with chronic diseases. However, several barriers were identified and should be addressed to further enhance primary care physicians’ use of advanced EMR features to support CDPM.

scholarly journals Primary Care Physicians' Perspectives on the Ethical Impact of the Electronic Medical Record

2020 ◽  
Vol 33 (1) ◽  
pp. 106-117 ◽  
Author(s):  
Tania Moerenhout ◽  
Gary S. Fischer ◽  
Marlies Saelaert ◽  
An De Sutter ◽  
Veerle Provoost ◽  
...  
Keyword(s):  
Primary Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Primary Care Physicians

scholarly journals Primary Care Physicians’ Experience Using Advanced Electronic Medical Record Features to Support Chronic Disease Prevention and Management: Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Rana Melissa Rahal ◽  
Jay Mercer ◽  
Craig Kuziemsky ◽  
Sanni Yaya
Keyword(s):  
Primary Care ◽  
Chronic Disease ◽  
Disease Prevention ◽  
Medical Record ◽  
Chronic Diseases ◽  
Electronic Medical Record ◽  
Primary Care Physicians ◽  
Evaluation Framework ◽  
Chronic Disease Prevention

BACKGROUND Chronic diseases are the leading cause of death worldwide. In Canada, more than half of all health care spending is used for managing chronic diseases. Although studies have shown that the use of advanced features of electronic medical record (EMR) systems improves the quality of chronic disease prevention and management (CDPM), a 2012 international survey found that Canadian physicians were the least likely to use 2 or more EMR system functions. Some studies show that maturity vis-à-vis clinicians’ EMR use is an important factor when evaluating the use of advanced features of health information systems. The Clinical Adoption Framework (CAF), a common evaluation framework used to assess the success of EMR adoption, does not incorporate the process of maturing. Nevertheless, the CAF and studies that discuss the barriers to and facilitators of the adoption of EMR systems can be the basis for exploring the use of advanced EMR features. OBJECTIVE This study aimed to explore the factors that primary care physicians in Ontario identified as influencing their use of advanced EMR features to support CDPM and to extend the CAF to include primary care physicians’ perceptions of how their use of EMRs for performing clinical tasks has matured. METHODS Guided by the CAF, directed content analysis was used to explore the barriers and facilitating factors encountered by primary care physicians when using EMR features. Participants were primary care physicians in Ontario, Canada, who use EMRs. Data were coded using categories from the CAF. RESULTS A total of 9 face-to-face interviews were conducted from January 2017 to July 2017. Dimensions from the CAF emerged from the data, and one new dimension was derived: physicians’ perception of their maturity of EMR use. Primary care physicians identified the following key factors that impacted their use of advanced EMR features: performance of EMR features, information quality of EMR features, training and technical support, user satisfaction, provider’s productivity, personal characteristics and roles, cost benefits of EMR features, EMR systems infrastructure, funding, and government leadership. CONCLUSIONS The CAF was extended to include physicians’ perceptions of how their use of EMR systems had matured. Most participants agreed that their use of EMR systems for performing clinical tasks had evolved since their adoption of the system and that certain system features facilitated their care for patients with chronic diseases. However, several barriers were identified and should be addressed to further enhance primary care physicians’ use of advanced EMR features to support CDPM.

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