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Abdulelah M, Haider O, McAuliffe M, Al-Faris L, Paadam J, Medarametla V, Kleppel R, Joshi K. Do Decision Support Tools Decrease the Prevalence of Hospital-Acquired Venous Thromboembolisms When Compared to Clinical Judgement? A Single-Center Pre-Post Study. J Clin Med 2024; 13:3854. [PMID: 38999420 PMCID: PMC11242558 DOI: 10.3390/jcm13133854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 06/23/2024] [Accepted: 06/27/2024] [Indexed: 07/14/2024] Open
Abstract
Introduction: Hospital-acquired venous thromboembolisms (HA-VTEs) carry a significant health burden on patients and a financial burden on hospitals due to reimbursement penalties. VTE prophylaxis at our institute was performed through utilizing an order set based on healthcare professionals' perceived level of risk. However, the use of standardized risk assessment models is recommended by multiple professional societies. Furthermore, integrating decision support tools (DST) based on the standardized risk assessment models has been shown to increase the administration of appropriate deep vein thrombosis (DVT) prophylaxis. Nonetheless, such scoring systems are not inherently flawless and their integration into EMR as a mandatory step can come at the risk of healthcare professional fatigue and burnout. We conducted a study to evaluate the incidence of HA-VTE and length of stay pre- and post implementation of a DST. Methods: We conducted a retrospective, pre-post-implementation observational study at a tertiary medical center after implementing a mandatory DST. The DST used Padua scores for medical patients and Caprini scores for surgical patients. Patients were identified through ICD-10 codes and outcomes were collected from electronic charts. Healthcare professionals were surveyed through an anonymous survey and stored securely. Statistical analysis was conducted by using R (version 3.4.3). Results: A total of 343 patients developed HA-VTE during the study period. Of these, 170 patients developed HA-VTE in the 9 months following the implementation of the DST, while 173 patients were identified in the 9 months preceding the implementation. There was no statistically significant difference in mean HA-VTE/1000 discharge/month pre- and post implementation (4.4 (SD 1.6) compared to 4.6 (SD 1.2), confidence interval [CI] -1.6 to 1.2, p = 0.8). The DST was used in 73% of all HA-VTE cases over the first 6 months of implementation. The hospital length of stay (LOS) was 14.2 (SD 1.9) days prior to implementation and 14.1 (SD 1.6) days afterwards. No statistically significant change in readmission rates was noted (8.8% (SD 2.6) prior to implementation and 15.53% (SD 9.6) afterwards, CI -14.27 to 0.74, p = 0.07). Of the 56 healthcare professionals who answered the survey, 84% (n = 47) reported to be dissatisfied or extremely dissatisfied with the DST, while 91% (n = 51) reported that it slowed them down. Conclusions: There were no apparent changes in the prevalence of HA-VTE, length of stay, or readmission rates when VTE prophylaxis was mandated through DST compared to a prior model which used order sets based on perceived risk. Further studies are needed to further evaluate the current risk assessment models and improve healthcare professionals' satisfaction with DST.
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Affiliation(s)
- Mohammad Abdulelah
- Department of Internal Medicine, University of Massachusetts Chan Medical School—Baystate Regional Campus, Springfield, MA 01199, USA (R.K.)
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Sander AM, Pappadis MR, Juengst SB, Leon-Novelo L, Ngan E, Corrigan JD, Dreer LE, Driver S, Lequerica AH. Characterizing Health Literacy and Its Correlates Among Individuals With Traumatic Brain Injury (TBI): A TBI Model Systems Study. J Head Trauma Rehabil 2024; 39:95-102. [PMID: 38529906 DOI: 10.1097/htr.0000000000000913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
OBJECTIVE To characterize health literacy among individuals with traumatic brain injury (TBI) at least a year postinjury and to explore its relationship to sociodemographic variables, injury severity, and cognition. SETTING Community following discharge from inpatient rehabilitation. PARTICIPANTS In total, 205 individuals with complicated mild to severe TBI who completed follow-up as part of a national longitudinal study of TBI and completed a web-based health literacy measure. DESIGN Multicenter, cross-sectional, observational study. MAIN MEASURES Health Literacy Assessment Using Talking Touchscreen Technology. RESULTS Thirty-one percent of the sample demonstrated marginal/inadequate health literacy; 69% demonstrated adequate health literacy. A higher proportion of non-Hispanic White adults had adequate health literacy than non-Hispanic Black and Hispanic adults. Individuals with greater than a high school education were more likely to have adequate health literacy than those with a high school education or less. Better executive functioning performance was related to adequate health literacy. Better episodic memory performance was related to adequate health literacy, but only for those with complicated mild to moderate injury. CONCLUSIONS A substantial proportion of individuals with TBI have marginal/inadequate health literacy, which may impact their understanding, appreciation, and use of health-related information and recommendations. While low health literacy may be preexisting, directly related to TBI, or a combination of both, it should be screened and considered by professionals when communicating with persons with TBI. Healthcare providers should tailor their communication approaches and presentation of health information, particularly for those with low health literacy.
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Affiliation(s)
- Angelle M Sander
- Author Affiliations: H. Ben Taub Department of Physical Medicine & Rehabilitation, Baylor College of Medicine and Harris Health System, Houston, Texas (Dr Sander); Brain Injury Research Center, TIRR Memorial Herman, Houston, Texas (Drs Sander, Pappadis, and Juengst); Department of Population Health and Health Disparities, School of Public and Population Health, The University of Texas Medical Branch (UTMB) and Sealy Center on Aging, UTMB (Dr Pappadis), Galveston; Department of Physical Medicine and Rehabilitation, UTHealth, Houston, Texas (Dr Juengst); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Sciences Center at Houston (Dr Leon-Novelo); Department of Radiology, Baylor College of Medicine, Houston, Texas (Dr Ngan); Department of Physical Medicine & Rehabilitation, The Ohio State University, Columbus (Dr Corrigan); Department of Physical Medicine and Rehabilitation, Baylor Scott and White Institute for Rehabilitation, Dallas, Texas (Dr Driver); Baylor Scott and White Research Institute, Dallas, Texas (Dr Driver); Department of Physical Medicine & Rehabilitation, University of Alabama at Birmingham (Dr Dreer); Kessler Foundation, East Hanover, New Jersey; and Department of Physical Medicine and Rehabilitation, Rutgers-New Jersey Medical School, Newark (Dr Lequerica)
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Ge J, Buenaventura A, Berrean B, Purvis J, Fontil V, Lai JC, Pletcher MJ. Applying human-centered design to the construction of a cirrhosis management clinical decision support system. Hepatol Commun 2024; 8:e0394. [PMID: 38407255 PMCID: PMC10898661 DOI: 10.1097/hc9.0000000000000394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 12/13/2023] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND Electronic health record (EHR)-based clinical decision support is a scalable way to help standardize clinical care. Clinical decision support systems have not been extensively investigated in cirrhosis management. Human-centered design (HCD) is an approach that engages with potential users in intervention development. In this study, we applied HCD to design the features and interface for a clinical decision support system for cirrhosis management, called CirrhosisRx. METHODS We conducted technical feasibility assessments to construct a visual blueprint that outlines the basic features of the interface. We then convened collaborative-design workshops with generalist and specialist clinicians. We elicited current workflows for cirrhosis management, assessed gaps in existing EHR systems, evaluated potential features, and refined the design prototype for CirrhosisRx. At the conclusion of each workshop, we analyzed recordings and transcripts. RESULTS Workshop feedback showed that the aggregation of relevant clinical data into 6 cirrhosis decompensation domains (defined as common inpatient clinical scenarios) was the most important feature. Automatic inference of clinical events from EHR data, such as gastrointestinal bleeding from hemoglobin changes, was not accepted due to accuracy concerns. Visualizations for risk stratification scores were deemed not necessary. Lastly, the HCD co-design workshops allowed us to identify the target user population (generalists). CONCLUSIONS This is one of the first applications of HCD to design the features and interface for an electronic intervention for cirrhosis management. The HCD process altered features, modified the design interface, and likely improved CirrhosisRx's overall usability. The finalized design for CirrhosisRx proceeded to development and production and will be tested for effectiveness in a pragmatic randomized controlled trial. This work provides a model for the creation of other EHR-based interventions in hepatology care.
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Affiliation(s)
- Jin Ge
- Department of Medicine, Division of Gastroenterology and Hepatology, University of California—San Francisco, San Francisco, California, USA
| | - Ana Buenaventura
- School of Medicine Technology Services, University of California—San Francisco, San Francisco, California, USA
| | - Beth Berrean
- School of Medicine Technology Services, University of California—San Francisco, San Francisco, California, USA
| | - Jory Purvis
- School of Medicine Technology Services, University of California—San Francisco, San Francisco, California, USA
| | - Valy Fontil
- Family Health Centers, NYU-Langone Medical Center, Brooklyn, New York, USA
| | - Jennifer C. Lai
- Department of Medicine, Division of Gastroenterology and Hepatology, University of California—San Francisco, San Francisco, California, USA
| | - Mark J. Pletcher
- Department of Epidemiology and Biostatistics, University of California—San Francisco, San Francisco, California, USA
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Alexiuk M, Elgubtan H, Tangri N. Clinical Decision Support Tools in the Electronic Medical Record. Kidney Int Rep 2024; 9:29-38. [PMID: 38312784 PMCID: PMC10831391 DOI: 10.1016/j.ekir.2023.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 10/23/2023] [Indexed: 02/06/2024] Open
Abstract
The integration of clinical decision support (CDS) tools into electronic medical record (EMR) systems has become common. Although there are many benefits for both patients and providers from successful integration, barriers exist that prevent consistent and effective use of these tools. Such barriers include tool alert fatigue, lack of interoperability between tools and medical record systems, and poor acceptance of tools by care providers. However, successful integration of CDS tools into EMR systems have been reported; examples of these include the Statin Choice Decision Aid, and the Kidney Failure Risk Equation (KFRE). This article reviews the history of EMR systems and its integration with CDS tools, the barriers preventing successful integration, and the benefits reported from successful integration. This article also provides suggestions and strategies for improving successful integration, making these tools easier to use and more effective for care providers.
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Affiliation(s)
- Mackenzie Alexiuk
- Chronic Disease Innovation Centre, Winnipeg, Manitoba, Canada
- Community Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Heba Elgubtan
- Chronic Disease Innovation Centre, Winnipeg, Manitoba, Canada
- Community Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Navdeep Tangri
- Chronic Disease Innovation Centre, Winnipeg, Manitoba, Canada
- Department of Internal Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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Ose D, Adediran E, Owens R, Gardner E, Mervis M, Turner C, Carlson E, Forbes D, Jasumback CL, Stuligross J, Pohl S, Kiraly B. Electronic Health Record-Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review. J Med Internet Res 2023; 25:e42409. [PMID: 37713256 PMCID: PMC10541643 DOI: 10.2196/42409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 06/01/2023] [Accepted: 07/04/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Managing hypertension in racial and ethnic minoritized groups (eg, African American/Black patients) in primary care is highly relevant. However, evidence on whether or how electronic health record (EHR)-driven approaches in primary care can help improve hypertension management for patients of racial and ethnic minoritized groups in the United States remains scarce. OBJECTIVE This review aims to examine the role of the EHR in supporting interventions in primary care to strengthen the hypertension management of racial and ethnic minoritized groups in the United States. METHODS A search strategy based on the PICO (Population, Intervention, Comparison, and Outcome) guidelines was utilized to query and identify peer-reviewed articles on the Web of Science and PubMed databases. The search strategy was based on terms related to racial and ethnic minoritized groups, hypertension, primary care, and EHR-driven interventions. Articles were excluded if the focus was not hypertension management in racial and ethnic minoritized groups or if there was no mention of health record data utilization. RESULTS A total of 29 articles were included in this review. Regarding populations, Black/African American patients represented the largest population (26/29, 90%) followed by Hispanic/Latino (18/29, 62%), Asian American (7/29, 24%), and American Indian/Alaskan Native (2/29, 7%) patients. No study included patients who identified as Native Hawaiian/Pacific Islander. The EHR was used to identify patients (25/29, 86%), drive the intervention (21/29, 72%), and monitor results and outcomes (7/29, 59%). Most often, EHR-driven approaches were used for health coaching interventions, disease management programs, clinical decision support (CDS) systems, and best practice alerts (BPAs). Regarding outcomes, out of 8 EHR-driven health coaching interventions, only 3 (38%) reported significant results. In contrast, all the included studies related to CDS and BPA applications reported some significant results with respect to improving hypertension management. CONCLUSIONS This review identified several use cases for the integration of the EHR in supporting primary care interventions to strengthen hypertension management in racial and ethnic minoritized patients in the United States. Some clinical-based interventions implementing CDS and BPA applications showed promising results. However, more research is needed on community-based interventions, particularly those focusing on patients who are Asian American, American Indian/Alaskan Native, and Native Hawaiian/Pacific Islander. The developed taxonomy comprising "identifying patients," "driving intervention," and "monitoring results" to classify EHR-driven approaches can be a helpful tool to facilitate this.
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Affiliation(s)
- Dominik Ose
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
| | - Emmanuel Adediran
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
| | - Robert Owens
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
| | - Elena Gardner
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
| | - Matthew Mervis
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
| | - Cindy Turner
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
| | - Emily Carlson
- Community Physicians Group, University of Utah, Salt Lake City, UT, United States
| | - Danielle Forbes
- Utah Department of Health and Human Services, Salt Lake City, UT, United States
| | | | - John Stuligross
- Utah Department of Health and Human Services, Salt Lake City, UT, United States
| | - Susan Pohl
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
| | - Bernadette Kiraly
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States
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