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Pace-Loscos T, Gal J, Contu S, Schiappa R, Chamorey E, Culié D. StatiCAL: an interactive tool for statistical analysis of biomedical data and scientific valorization. BMC Bioinformatics 2024; 25:210. [PMID: 38867185 PMCID: PMC11167775 DOI: 10.1186/s12859-024-05829-z] [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: 03/07/2024] [Accepted: 06/10/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND In the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis as it is indispensable for synthesizing, interpreting, and publishing data. Hence the need for accessible analysis tools drastically increased. StatiCAL emerges as a user-friendly solution, enabling researchers to conduct basic analyses without necessitating extensive programming expertise. RESULTS StatiCAL includes divers functionalities: data management, visualization on variables and statistical analysis. Data management functionalities allow the user to freely add or remove variables, to select sub-population and to visualise selected data to better perform the analysis. With this tool, users can freely perform statistical analysis such as descriptive, graphical, univariate, and multivariate analysis. All of this can be performed without the need to learn R coding as the software is a graphical user interface where all the action can be performed by clicking a button. CONCLUSIONS StatiCAL represents a valuable contribution to the field of biomedical research. By being open-access and by providing an intuitive interface with robust features, StatiCAL allow researchers to gain autonomy in conducting their projects.
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Affiliation(s)
- Tanguy Pace-Loscos
- Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
| | - Jocelyn Gal
- Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France
| | - Sara Contu
- Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France
| | - Renaud Schiappa
- Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France
| | - Emmanuel Chamorey
- Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France
| | - Dorian Culié
- Institut Universitaire de la Face et du Cou, Centre Antoine Lacassagne, Département de Chirurgie Cervico-Faciale, Université Cote d'Azur, 06103, Nice, France
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Weeks WB, Spelhaug J, Weinstein JN, Ferres JML. Bridging the rural-urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America. J Rural Health 2024. [PMID: 38520683 DOI: 10.1111/jrh.12836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 03/13/2024] [Indexed: 03/25/2024]
Affiliation(s)
- William B Weeks
- AI for Good Lab, Microsoft Corporation, Redmond, Washington, USA
| | - Justin Spelhaug
- Technology for Social Impact, Microsoft Corporation, Redmond, Washington, USA
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Griva K, Chua ZY, Lai LY, Xu SJ, Bek ESJ, Lee ES. Pharmacist-led medication reconciliation service for patients after discharge from tertiary hospitals to primary care in Singapore: a qualitative study. BMC Health Serv Res 2024; 24:357. [PMID: 38509565 PMCID: PMC10956343 DOI: 10.1186/s12913-024-10830-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 03/05/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Medication discrepancies commonly occur when patients are transferred between care settings. Despite the presence of medication reconciliation services (MRS), medication discrepancies are still prevalent, which has clinical costs and implications. This study aimed to explore the perspectives of various stakeholders on how the MRS can be optimized in Singapore. METHODS This is a descriptive qualitative study. Semi-structured interviews with 30 participants from the National Healthcare Group, including family physicians (N = 10), pharmacists (N = 10), patients recently discharged from restructured hospitals (N = 7) and their caregivers (N = 3) were conducted. All transcribed interviews were coded independently by three coders and inductive thematic analysis approach was used. RESULTS Five core themes were identified. (1) The MRS enhanced healthcare services in various aspects including efficiency and health literacy; (2) There were several challenges in delivering the MRS covering processes, technology and training; (3) Issues with suitable patient selection and follow-up; (4) Barriers to scaling up of MRS that involve various stakeholders, cross-sector integration and environmental restrictions; and finally (5) Role definition of the pharmacist to all the stakeholders. CONCLUSION This study identified the role of MRS in enhancing healthcare services and explored the challenges encountered in the provision of MRS from family physicians, pharmacists, patients and their caregivers. These findings supported the need for a shift of MRS towards a more comprehensive medication review model. Future improvement work to the MRS can be conducted based on the findings.
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Affiliation(s)
- Konstadina Griva
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Zi Yang Chua
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Lester Yousheng Lai
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | | | | | - Eng Sing Lee
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
- Clinical Research Unit, National Healthcare Group Polyclinics, 3 Fusionopolis Link Nexus@one-north (South Tower), #06-13, Singapore, 138543, Singapore.
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Del Fiol G, Orleans B, Kuzmenko TV, Chipman J, Greene T, Martinez A, Wirth J, Meads R, Kaphingst KK, Gibson B, Kawamoto K, King AJ, Siaperas T, Hughes S, Pruhs A, Pariera Dinkins C, Lam CY, Pierce JH, Benson R, Borsato EP, Cornia R, Stevens L, Bradshaw RL, Schlechter CR, Wetter DW. 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. BMJ Open 2024; 14:e081455. [PMID: 38508633 PMCID: PMC10961568 DOI: 10.1136/bmjopen-2023-081455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/23/2024] [Indexed: 03/22/2024] Open
Abstract
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.
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Affiliation(s)
- Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Brian Orleans
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Tatyana V Kuzmenko
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Jonathan Chipman
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Tom Greene
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Anna Martinez
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Jennifer Wirth
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Ray Meads
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | | | - Bryan Gibson
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Andy J King
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Tracey Siaperas
- Association for Utah Community Health, Salt Lake City, Utah, USA
| | - Shlisa Hughes
- Association for Utah Community Health, Salt Lake City, Utah, USA
| | - Alan Pruhs
- Association for Utah Community Health, Salt Lake City, Utah, USA
| | | | - Cho Y Lam
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Joni H Pierce
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Ryzen Benson
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Emerson P Borsato
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Ryan Cornia
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Leticia Stevens
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Chelsey R Schlechter
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - David W Wetter
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
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Canfell OJ, Woods L, Meshkat Y, Krivit J, Gunashanhar B, Slade C, Burton-Jones A, Sullivan C. The Impact of Digital Hospitals on Patient and Clinician Experience: Systematic Review and Qualitative Evidence Synthesis. J Med Internet Res 2024; 26:e47715. [PMID: 38466978 DOI: 10.2196/47715] [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: 03/29/2023] [Revised: 11/08/2023] [Accepted: 01/31/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND The digital transformation of health care is advancing rapidly. A well-accepted framework for health care improvement is the Quadruple Aim: improved clinician experience, improved patient experience, improved population health, and reduced health care costs. Hospitals are attempting to improve care by using digital technologies, but the effectiveness of these technologies is often only measured against cost and quality indicators, and less is known about the clinician and patient experience. OBJECTIVE This study aims to conduct a systematic review and qualitative evidence synthesis to assess the clinician and patient experience of digital hospitals. METHODS The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and ENTREQ (Enhancing the Transparency in Reporting the Synthesis of Qualitative Research) guidelines were followed. The PubMed, Embase, Scopus, CINAHL, and PsycINFO databases were searched from January 2010 to June 2022. Studies that explored multidisciplinary clinician or adult inpatient experiences of digital hospitals (with a full electronic medical record) were included. Study quality was assessed using the Mixed Methods Appraisal Tool. Data synthesis was performed narratively for quantitative studies. Qualitative evidence synthesis was performed via (1) automated machine learning text analytics using Leximancer (Leximancer Pty Ltd) and (2) researcher-led inductive synthesis to generate themes. RESULTS A total of 61 studies (n=39, 64% quantitative; n=15, 25% qualitative; and n=7, 11% mixed methods) were included. Most studies (55/61, 90%) investigated clinician experiences, whereas few (10/61, 16%) investigated patient experiences. The study populations ranged from 8 to 3610 clinicians, 11 to 34,425 patients, and 5 to 2836 hospitals. Quantitative outcomes indicated that clinicians had a positive overall satisfaction (17/24, 71% of the studies) with digital hospitals, and most studies (11/19, 58%) reported a positive sentiment toward usability. Data accessibility was reported positively, whereas adaptation, clinician-patient interaction, and workload burnout were reported negatively. The effects of digital hospitals on patient safety and clinicians' ability to deliver patient care were mixed. The qualitative evidence synthesis of clinician experience studies (18/61, 30%) generated 7 themes: inefficient digital documentation, inconsistent data quality, disruptions to conventional health care relationships, acceptance, safety versus risk, reliance on hybrid (digital and paper) workflows, and patient data privacy. There was weak evidence of a positive association between digital hospitals and patient satisfaction scores. CONCLUSIONS Clinicians' experience of digital hospitals appears positive according to high-level indicators (eg, overall satisfaction and data accessibility), but the qualitative evidence synthesis revealed substantive tensions. There is insufficient evidence to draw a definitive conclusion on the patient experience within digital hospitals, but indications appear positive or agnostic. Future research must prioritize equitable investigation and definition of the digital clinician and patient experience to achieve the Quadruple Aim of health care.
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Affiliation(s)
- Oliver J Canfell
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Digital Health Cooperative Research Centre, Australian Government, Sydney, Australia
- UQ Business School, Faculty of Business, Economics and Law, The University of Queensland, Brisbane, Australia
| | - Leanna Woods
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Yasaman Meshkat
- School of Clinical Medicine, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Jenna Krivit
- School of Clinical Medicine, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Brinda Gunashanhar
- School of Clinical Medicine, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Christine Slade
- Institute for Teaching and Learning Innovation, The University of Queensland, Brisbane, Australia
| | - Andrew Burton-Jones
- UQ Business School, Faculty of Business, Economics and Law, The University of Queensland, Brisbane, Australia
| | - Clair Sullivan
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Metro North Hospital and Health Service, Department of Health, Queensland Government, Brisbane, Australia
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Zigler CK, Adeyemi O, Boyd AD, Braciszewski JM, Cheville A, Cuthel AM, Dailey DL, Del Fiol G, Ezenwa MO, Faurot KR, Justice M, Ho PM, Lawrence K, Marsolo K, Patil CL, Paek H, Richesson RL, Staman KL, Schlaeger JM, O'Brien EC. Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory. Contemp Clin Trials 2024; 137:107426. [PMID: 38160749 PMCID: PMC10922303 DOI: 10.1016/j.cct.2023.107426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/15/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
The NIH Pragmatic Trials Collaboratory supports the design and conduct of 27 embedded pragmatic clinical trials, and many of the studies collect patient reported outcome measures as primary or secondary outcomes. Study teams have encountered challenges in the collection of these measures, including challenges related to competing health care system priorities, clinician's buy-in for adoption of patient-reported outcome measures, low adoption and reach of technology in low resource settings, and lack of consensus and standardization of patient-reported outcome measure selection and administration in the electronic health record. In this article, we share case examples and lessons learned, and suggest that, when using patient-reported outcome measures for embedded pragmatic clinical trials, investigators must make important decisions about whether to use data collected from the participating health system's electronic health record, integrate externally collected patient-reported outcome data into the electronic health record, or collect these data in separate systems for their studies.
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Affiliation(s)
- Christina K Zigler
- Duke University School of Medicine, Durham, NC, United States of America.
| | - Oluwaseun Adeyemi
- New York University Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, NY, United States of America
| | - Andrew D Boyd
- Department of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, IL, United States of America
| | | | - Andrea Cheville
- Mayo Clinic Comprehensive Cancer Center, Rochester, MN, United States of America
| | - Allison M Cuthel
- New York University Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, NY, United States of America
| | - Dana L Dailey
- St. Ambrose University, Davenport, IA, and University of Iowa, Iowa City, IA, United States of America
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States of America
| | - Miriam O Ezenwa
- University of Florida College of Nursing, Gainesville, FL, United States of America
| | - Keturah R Faurot
- Department of Physical Medicine and Rehabilitation, University of North Carolina School of Medicine, Chapel Hill, NC, United States of America
| | - Morgan Justice
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - P Michael Ho
- Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, United States of America
| | - Katherine Lawrence
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America
| | - Keith Marsolo
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America
| | - Crystal L Patil
- University of Michigan, School of Nursing, Ann Arbor, MI, United States of America
| | - Hyung Paek
- Yale University, New Haven, CT, United States of America
| | - Rachel L Richesson
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, United States of America
| | - Karen L Staman
- Duke Clinical Research Institute, Durham, NC, United States of America
| | - Judith M Schlaeger
- University of Illinois Chicago, College of Nursing, Chicago, IL, United States of America
| | - Emily C O'Brien
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America
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Burgan K, McCollum CG, Guzman A, Penney B, Hill SV, Kudroff K, Thorn S, Burton T, Turner K, Mugavero MJ, Rana A, Elopre L. A mixed methods evaluation assessing the feasibility of implementing a PrEP data dashboard in the Southeastern United States. BMC Health Serv Res 2024; 24:101. [PMID: 38238697 PMCID: PMC10797978 DOI: 10.1186/s12913-023-10451-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 12/07/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Alabama is one of seven priority states for the National Ending the HIV Epidemic Initiative due to a disproportionate burden of rural infections. To reverse growing infection rates, the state must increase its focus on prevention efforts, including novel strategies. One such approach is to utilize dashboards that visualize real-time data on the pre-exposure prophylaxis (PrEP) care continuum to assist in prioritizing evidence-based preventative care for those most vulnerable for HIV infection. METHODS We conducted a mixed methods evaluation to ascertain stakeholders' perceptions on the acceptability, feasibility, appropriateness, and usability of a PrEP care continuum dashboard, as well as gain insight on ways to improve the activities necessary to sustain it. Clinicians, administrators, and data personnel from participating sites in Alabama completed surveys (n = 9) and participated in key informant interviews (n = 10) to better understand their experiences with the prototype data dashboard and to share feedback on how it can be modified to best fit their needs. RESULTS Surveys and interviews revealed that all participants find the pilot data dashboard to be an acceptable, feasible, and appropriate intervention for clinic use. Overall, stakeholders find the pilot dashboard to be usable and helpful in administrative efforts, such as report and grant writing; however, additional refining is needed in order to reduce burden and optimize usefulness. Participants voiced concerns about their site's abilities to sustain the dashboard, including the lack of systematized PrEP protocols and limited funds and staff time dedicated to PrEP data collection, cleaning, and upload. CONCLUSION Study participants from clinics providing HIV prevention services, including PrEP, in Alabama voiced interest in sustaining and refining a data dashboard that tracks clients across the PrEP care continuum. Despite viewing the platform itself as an acceptable, feasible, and appropriate intervention, participants agreed that efforts need to be focused on standardizing PrEP data collection protocols in order to ensure consistent, accurate data capture and that limited funds and staff time are barriers to the sustained implementation of the dashboard in practice.
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Affiliation(s)
- Kaylee Burgan
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - C Greer McCollum
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - Alfredo Guzman
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - Brooke Penney
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - Samantha V Hill
- Department of Pediatrics, Division of Adolescent Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - Kachina Kudroff
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - Shey Thorn
- Five Horizons Health Services, Montgomery, AL, 36111, USA
| | - Toya Burton
- Whatley Health Services, Tuscaloosa, AL, 35401, USA
| | - Kelly Turner
- Health Services Center, Hobson City, AL, 36201, USA
| | - Michael J Mugavero
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - Aadia Rana
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA
| | - Latesha Elopre
- Division of Infectious Diseases, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, USA.
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Derecho KC, Cafino R, Aquino-Cafino SL, Isla A, Esencia JA, Lactuan NJ, Maranda JAG, Velasco LCP. Technology adoption of electronic medical records in developing economies: A systematic review on physicians' perspective. Digit Health 2024; 10:20552076231224605. [PMID: 38222081 PMCID: PMC10787531 DOI: 10.1177/20552076231224605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 12/18/2023] [Indexed: 01/16/2024] Open
Abstract
Electronic Medical Records (EMRs) are a tool that could potentially improve the outcomes of patient care by providing physicians with access to up-to-date and accurate vital patient information. Despite this potential, EMR adoption in developing economies has been dilatory. This systematic review aims to synthesize the related literature on the adoption of EMRs in developing economies, with a focus on the perspective of physicians. With the aim to discern the key factors that impact EMR adoption as perceived by physicians and to offer guidance for future research on filling any gaps identified in the existing literature, this study utilized a systematic literature review by following the PRISMA guidelines. Out of 1160 initial articles, 21 were selected for analysis after eliminating duplicates and non-qualifying articles. Results show that common enablers of EMR adoption from physicians' perspective were identified to be computer literacy, education, voluntariness, and the system functionality including its features and user interface, implying that the provision of proper interventions focusing on the aspects of the health information system has an impact in maximizing the utilization and capabilities of EMRs among healthcare providers. The most prevalent barriers include the lack of training and IT usage experience along with resistance to changes associated with respondents' age and gender, the lack of time for learning complex EMR systems, and costs of the new technology. This indicates that a thorough planning and proper budget allocation is necessary prior to implementing and integrating EMR systems in healthcare institutions. From this synthesis of the common research conclusions, limitations, and recommendations from physicians' perspective, the result of this systematic review is expected to shed light on the optimal technology adoption of EMRs and its contribution to the health care systems of developing economies.
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Affiliation(s)
- Karyl Claire Derecho
- Mindanao State University-Iligan Institute of Technology, Iligan City, The Philippines
| | - Rentor Cafino
- Zamboanga City Medical Center, Zamboanga City, The Philippines
| | | | - Armando Isla
- Mercy Community Hospital, Iligan City, The Philippines
| | - Jay Ar Esencia
- La Paz Municipal Hospital, La Paz, Agusan del Sur, The Philippines
| | - Nove Joshua Lactuan
- Mindanao State University-Iligan Institute of Technology, Iligan City, The Philippines
- STI College Iligan, Iligan City, The Philippines
| | | | - Lemuel Clark P Velasco
- Mindanao State University-Iligan Institute of Technology, Iligan City, The Philippines
- Premiere Research Institute of Science and Mathematics – Center for Computational Analytics and Modelling, MSU-IIT, Iligan City, The Philippines
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ELEKE CHINEMEREM, NWANERI ADAC, SAMUEL JOYC, NGBALA-OKPABI SABINAH, AGU IFEYINWAS, AMACHREE DAMIETEM, DOKUBA TEXJACK. Configuring a computer-based nursing process form to support nursing diagnosis in rural healthcare clinics in Nigeria. J Public Health Afr 2023; 14:2359. [PMID: 38020264 PMCID: PMC10658472 DOI: 10.4081/jphia.2023.2359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 11/23/2023] [Indexed: 12/01/2023] Open
Abstract
Poor internet infrastructure limits the use of computer-based nursing process forms in rural areas. This study aimed to configure a computer-based nursing process form to support nursing diagnosis and care evaluation in rural healthcare clinics in Africa. This study utilized a methodological design. The design process utilized a three-stage procedure involving planning, configuration, and testing. Seven faculty members volunteered to participate in the laboratory verification process. Each simulation session lasted 45 min and span from patient admission to exit. The experts independently scored the software functionality dichotomously as Not Suitable (score 0) and Suitable (score 1) for nursing practice. The agreement between the faculty volunteers was 0.857. The configuration of a readily available Microsoft Access computer application to support nursing diagnosis without internet service is possible. Health facilities in rural areas without internet connectivity should resort to such local configurations to maximize the benefits of electronic-based documentation.
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Affiliation(s)
- CHINEMEREM ELEKE
- Department of Nursing Science, University of Port Harcourt
- Africa Center for Excellence in Public Health & Toxicological Research, University of Port Harcourt
| | - ADA C. NWANERI
- Department of Nursing Sciences, University of Nigeria Enugu Campus
| | - JOY C. SAMUEL
- Department of Nursing Science, University of Port Harcourt
| | - SABINAH NGBALA-OKPABI
- Department of Nursing Science, University of Port Harcourt
- Africa Center for Excellence in Public Health & Toxicological Research, University of Port Harcourt
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10
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Neirat D, Batran A, Ayed A. Development of an electronic medical records project for Al-Razi hospital in Palestine. J Public Health Res 2023; 12:22799036231217795. [PMID: 38058992 PMCID: PMC10697050 DOI: 10.1177/22799036231217795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/14/2023] [Indexed: 12/08/2023] Open
Abstract
Background Electronic medical records (EMR) are considered an important aspect to improve medical services provided to patients. The purpose of this study was to assess the development of an Electronic Medical Records Project for Al-Razi hospital in Palestine. Design and Methods The study was mixed method, qualitative and quantitative. The use of a questionnaire for the staff in the Al-Razi hospital and seven administrators' participants were meat as focus group. Results Approximately 136 participants in the study. The study findings reported that employees perceived the use of EMRs to have several benefits. The most common benefits include promoting patient safety culture and drug error reduction. In addition, the study findings reported that employees perceived the use of EMRs to have several challenges. The most common challenges include lack of knowledge and skill, insufficient time to use EMR, and limited of computers. Conclusions Health informatics brings various benefits to the healthcare system. Some participants believed that the EMR system would improve patient care and it will improve patient satisfaction.
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Affiliation(s)
- Doaa Neirat
- Faculty of Graduate Studies, Arab American University, Palestine
| | - Ahmad Batran
- Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine
| | - Ahmad Ayed
- Faculty of Nursing, Arab American University, Bethlehem, Palestine
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11
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Huang J, Wong YY, Pang WS, Mak FY, Guan Y, Poon J, Tong E, Cheung CSK, Wong WN, Cheung NT, Ho CP, Wong MCS. Usage of electronic health record (eHR) viewer among healthcare professionals (HCProfs): A territory-wide study of 3972 participants. Int J Med Inform 2023; 177:105137. [PMID: 37419041 DOI: 10.1016/j.ijmedinf.2023.105137] [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: 02/20/2023] [Revised: 05/12/2023] [Accepted: 06/25/2023] [Indexed: 07/09/2023]
Abstract
BACKGROUND The Electronic Health Record Sharing System (eHRSS) is an electronic platform for two-way communication between the public and private sectors in Hong Kong. The authorised healthcare professionals (HCProfs) could access and upload patients' health records on the eHR Viewer in the eHRSS. This study aims to evaluate the usage of eHR viewer among the HCProfs from the private sector by 1) examining the correlation of various factors and the data access of eHR viewer; 2) investigating the trend on data access and upload to eHR viewer by time period and domain. METHODS A total of 3972 HCProfs from private hospitals, group practice, and solo practice were included in the study. Regression analysis was performed to identify the correlation between various factors and the data access to eHR viewer. Trends on accessing and data uploading to eHR viewer by time period and domains were evaluated. Trends on data uploading to eHR viewer by time period and domains were presented in the line chart as well. FINDINGS All types of HCProfs had a higher likelihood of accessing the eHR viewer as compared to those from private hospitals. HCProfs with specialities (apart from anaesthesia) had a higher possibility of accessing the eHR viewer than general practitioners without specialities. HCProfs participating in the Public-Private Partnership (PPP) Programme and the eHealth System (Subsidies) (eHS(S)) were more likely to access the eHR viewer. The overall trend of accessing eHR viewer was rising notably from 2016 to 2022, every domain showed rising trends, especially the laboratory domain with a 5-times increase between 2016 and 2022. CONCLUSION HCProfs with speciality were more likely to access the eHR viewer (except anaesthesiology), compared with the general practitioners. Participation in the PPP programmes and eHS(S) also increased the access rate of the eHR viewer. Besides, the use of eHR viewer (accessing and data uploading) would be influenced by social policy and the epidemic. Future research should focus on the impact of government programmes on eHRSS adoption.
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Affiliation(s)
- Junjie Huang
- JC School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong Special Administrative Region; Centre for Health Education and Health Promotion, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Yuet Yan Wong
- JC School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Wing Sze Pang
- JC School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Fung Yu Mak
- JC School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Yingxin Guan
- Information Technology and Health Informatics Division, Hospital Authority, Hong Kong Special Administrative Region
| | - Jonathan Poon
- Information Technology and Health Informatics Division, Hospital Authority, Hong Kong Special Administrative Region
| | - Ellen Tong
- Information Technology and Health Informatics Division, Hospital Authority, Hong Kong Special Administrative Region
| | - Clement S K Cheung
- Information Technology and Health Informatics Division, Hospital Authority, Hong Kong Special Administrative Region
| | - Wing Nam Wong
- Information Technology and Health Informatics Division, Hospital Authority, Hong Kong Special Administrative Region
| | - Ngai Tseung Cheung
- Information Technology and Health Informatics Division, Hospital Authority, Hong Kong Special Administrative Region
| | - Chung Ping Ho
- Information Technology Committee, Hong Kong Medical Association, Hong Kong Special Administrative Region
| | - Martin C S Wong
- JC School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong Special Administrative Region; Centre for Health Education and Health Promotion, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; School of Public Health, Peking Union Medical College, Beijing, China; School of Public Health, Peking University, Beijing, China.
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12
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Alrasheeday AM, Alshammari B, Alkubati SA, Pasay-an E, Albloushi M, Alshammari AM. Nurses' Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia. Healthcare (Basel) 2023; 11:2393. [PMID: 37685427 PMCID: PMC10486676 DOI: 10.3390/healthcare11172393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/13/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
(1) Background: Nurses' attitudes toward electronic health records (EHRs) is a very valuable issue that needs to be evaluated, understood, and considered one of the main factors that can lead to its improvement or handicap its implementation. This study aimed to assess nurses' attitudes toward EHRs and associated factors that affect the implementation of EHRs in different hospitals in Saudi Arabia. (2) Methods: A cross-sectional study was utilized to collect data from 297 nurses working in public hospitals and primary healthcare centers in Ha'il Province from January to May 2023. Data were collected using the Nurses' Attitudes Towards Computerization questionnaire and a sociodemographic and work-related characteristics sheet. (3) Results: Most of the participants' attitude scores (81.1%, n = 241) were more than or equal to 60, representing positive attitudes, whereas 18.9% (n = 56) of the nurses' scores were less than 60, which is interpreted as negative attitudes. There was a significant relationship between nurses' attitudes toward EHRs and a participants' sex, where males had a more positive attitude than females (p < 0.001). Particularly, young nurses and those who had previous computer experience had a more positive attitude than older nurses and those who had no computer experience (p = 0.044 and < 0.001, respectively). Saudi nurses holding a master's degree had significantly more positive attitudes toward EHRs than non-Saudi nurses holding a bachelor's or diploma degree (p = 0.007 and 0.048, respectively). Nurses with less experience (less than five years) in the nursing field had a significantly positive attitude. Multiple linear regression showed that sex (p = 0.038), level of education (p = 0.001), and previous computer experience (p < 0.001) were independent factors of nurses' knowledge of EHRs. (4) Conclusion: The majority of nurses had positive overall attitudes toward using EHRs. Nurses who are Saudi nationals, male, younger, have previous computer experience, and have less than five years of experience had a more positive attitude toward EHRs than nurses who are non-Saudi, female, older, have no computer experience, have bachelor's or diploma degree, and have less than five years of experience, respectively. Sex, education level, and previous computer experience were independent factors of nurses' knowledge of EHRs.
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Affiliation(s)
- Awatif M. Alrasheeday
- Nursing Administration Department, College of Nursing, University of Hail, Hail 2440, Saudi Arabia;
| | - Bushra Alshammari
- Medical Surgical Nursing Department, College of Nursing, University of Hail, Hail 2440, Saudi Arabia;
| | - Sameer A. Alkubati
- Medical Surgical Nursing Department, College of Nursing, University of Hail, Hail 2440, Saudi Arabia;
- Department of Nursing, Faculty of Medicine and Health Sciences, Hodeida University, Hodeida P.O. Box 3114, Yemen
| | - Eddieson Pasay-an
- Maternal and Child Nursing Department, College of Nursing, University of Hail, Hail 2440, Saudi Arabia;
| | - Monirah Albloushi
- Medical Surgical Department, College of Nursing, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Awayed M. Alshammari
- Nursing Administration, King Khalid General Hospital, Ministry of Health, Hafar Al Batin 39921, Saudi Arabia;
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Fix GM, Haltom TM, Cogan AM, Shimada SL, Davila JA. Understanding Patients' Preferences and Experiences During an Electronic Health Record Transition. J Gen Intern Med 2023:10.1007/s11606-023-08338-6. [PMID: 37580637 DOI: 10.1007/s11606-023-08338-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 07/13/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND The Department of Veterans Affairs (VA) has embarked on the largest system-wide electronic health record (EHR) transition in history. To date, most research on EHR-to-EHR transitions has focused on employee and system transition-related needs, with limited focus on how patients experience transitions. OBJECTIVE (1) Understand patients' preferences for information and support prior to an EHR transition, and (2) examine actual patient experiences that occurred at facilities that implemented a new EHR. DESIGN We used a two-step approach. We had discussions with geographically diverse patient advisory groups. Discussions informed semi-structured, qualitative interviews with patients. PARTICIPANTS Patients affected by the EHR transition. MAIN MEASURES We met with four patient advisory groups at sites that had not transitioned their EHR. Interviews were conducted with patients who received care at one of two facilities that recently transitioned to the new EHR. KEY RESULTS Patient advisors identified key areas important to patients during an EHR transition. 1) Use a range of communication strategies to reach diverse populations, especially older, rural patients. 2) Information about the EHR transition should be clear and reinforce trustworthiness. 3) Patients will need guidance using the new patient portal. From the patient interviews, we learned if and how these key areas mapped onto patients' experiences. Patients at the sites that had transitioned learned about the new EHR through a variety of modalities, including letters and banners on the patient portal. However, their experiences varied in terms of information quality, leading to frustrations during and between healthcare encounters. Patient portal issues exacerbated frustrations. These raised concerns about the accuracy and security of the overall EHR. CONCLUSIONS Maintaining clear communication across patients, local leadership, and providers throughout an EHR transition is essential for successful implementation. Patient-facing communications can set expectations, and help patients receive adequate support, particularly related to the patient portal.
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Affiliation(s)
- Gemmae M Fix
- Center for Healthcare Organization & Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Rd., Bedford, MA, USA.
- Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, USA.
- Boston University School of Public Health, 715 Albany St., Boston, MA, USA.
| | - Trenton M Haltom
- Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E DeBakey VA Medical Center, 2450 Holcombe Blvd Houston, Houston, TX, USA
- Department of Medicine-Health Services Research, Baylor College of Medicine, One Baylor Plaza Houston, Houston, TX, USA
| | - Alison M Cogan
- Center for the Study of Health Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd, Los Angeles, CA, USA
- Mrs. T. H. Chan Division of Occupational Science and Occupational Therapy, Herman Ostrow School of Dentistry, University of Southern California, 1540 Alcazar St, Los Angeles, CA, USA
| | - Stephanie L Shimada
- Center for Healthcare Organization & Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Rd., Bedford, MA, USA
- Boston University School of Public Health, 715 Albany St., Boston, MA, USA
- UMass Chan Medical School, 55 N Lake Ave, Worcester, MA, USA
| | - Jessica A Davila
- Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E DeBakey VA Medical Center, 2450 Holcombe Blvd Houston, Houston, TX, USA
- Department of Medicine-Health Services Research, Baylor College of Medicine, One Baylor Plaza Houston, Houston, TX, USA
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Burner-Fritsch I, Kolmhuber S, Hodiamont F, Bausewein C, Hriskova K. Implementing ePROM in specialist palliative home care: the professionals' perspective - a mixed-methods study. Palliat Care Soc Pract 2023; 17:26323524231186827. [PMID: 37560175 PMCID: PMC10408331 DOI: 10.1177/26323524231186827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 06/21/2023] [Indexed: 08/11/2023] Open
Abstract
Background Over the last decades, patient-reported outcome measures (PROM) have been developed for a better understanding of patient needs. The Integrated Palliative Care Outcome Scale (IPOS) is an internationally recommended PROM in palliative care. The validated electronic version of IPOS (eIPOS) was implemented in four German specialist palliative home care (SPHC) teams for use in everyday clinical practice. Patients reported symptoms and concerns via eIPOS, which were transmitted directly to the electronic patient record of the respective SPHC team. Objectives The aim of the study was to describe and explore the health care professionals' (HCPs') experiences regarding acceptance and use of eIPOS in clinical practice in SPHC. Design The mixed-methods sequential explanatory design comprised an anonymized quantitative online survey followed by qualitative focus groups. Methods The online survey asked in both closed and open questions for HCP's experience with eIPOS. Ambiguous results from the survey were discussed in two focus groups. Survey data were analysed with descriptive and univariable statistics, and the framework approach was used for qualitative data. In a further step, we conducted integrated analysis of quantitative and qualitative results using joint displays. Results All HCPs of the four SPHC teams (n = 52) were invited to participate. HCPs participating in the survey (n = 32) and the focus groups (n = 7) saw potentials for implementing ePROM in palliative home care - as far as it is technically easy to handle and can be easily integrated into clinical practice. Conclusion Successful use of ePROMs is affected by the possibility of easy integration into the teams' different structures and processes and the HCPs' perceptions of potentials regarding ePROM use in SPHC. Registration The study is registered on clinicaltrials.org (NCT03879668).
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Affiliation(s)
- Isabel Burner-Fritsch
- Department of Palliative Medicine, University Hospital, LMU Munich, Bahnhofstraße 20, 83673 Bichl, Germany
| | - Stefanie Kolmhuber
- Department of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Farina Hodiamont
- Department of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Claudia Bausewein
- Department of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Katerina Hriskova
- Department of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany
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15
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Karkonasasi K, Cheah YN, Vadiveloo M, Mousavi SA. Acceptance of a Text Messaging Vaccination Reminder and Recall System in Malaysia's Healthcare Sector: Extending the Technology Acceptance Model. Vaccines (Basel) 2023; 11:1331. [PMID: 37631899 PMCID: PMC10458098 DOI: 10.3390/vaccines11081331] [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: 06/21/2023] [Revised: 07/25/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023] Open
Abstract
Malaysian healthcare institutions still use ineffective paper-based vaccination systems to manage childhood immunization schedules. This may lead to missed appointments, incomplete vaccinations, and outbreaks of preventable diseases among infants. To address this issue, a text messaging vaccination reminder and recall system named Virtual Health Connect (VHC) was studied. VHC simplifies and accelerates immunization administration for nurses, which may result in improving the completion and timeliness of immunizations among infants. Considering the limited research on the acceptance of these systems in the healthcare sector, we examined the factors influencing nurses' attitudes and intentions to use VHC using the extended technology acceptance model (TAM). The novelty of the conceptual model is the incorporation of new predictors of attitude, namely, perceived compatibility and perceived privacy and security issues. We conducted a survey among 121 nurses in Malaysian government hospitals and clinics to test the model. We analyzed the collected data using partial least squares structural equation modeling (PLS-SEM) to examine the significant factors influencing nurses' attitudes and intentions to use VHC. Moreover, we applied an artificial neural network (ANN) to determine the most significant factors of acceptance with higher accuracy. Therefore, we could offer more accurate insights to decision-makers in the healthcare sector for the advancement of health services. Our results highlighted that the compatibility of VHC with the current work setting of nurses developed their positive perspectives on the system. Moreover, the nurses felt optimistic about the system when they considered it useful and easy to use in the workplace. Finally, their attitude toward using VHC played a pivotal role in increasing their intention to use it. Based on the ANN models, we also found that perceived compatibility was the most significant factor influencing nurses' attitudes towards using VHC, followed by perceived ease of use and perceived usefulness.
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Affiliation(s)
- Kamal Karkonasasi
- School of Computer Sciences, Universiti Sains Malaysia, USM Penang 11800, Malaysia;
| | - Yu-N Cheah
- School of Computer Sciences, Universiti Sains Malaysia, USM Penang 11800, Malaysia;
| | - Mogana Vadiveloo
- Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia;
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Ashe JJ, Baker MC, Alvarado CS, Alberti PM. Screening for Health-Related Social Needs and Collaboration With External Partners Among US Hospitals. JAMA Netw Open 2023; 6:e2330228. [PMID: 37610754 PMCID: PMC10448297 DOI: 10.1001/jamanetworkopen.2023.30228] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/15/2023] [Indexed: 08/24/2023] Open
Abstract
Importance In recent years, hospitals and health systems have reported increasing rates of screening for patients' individual and community social needs, but few studies have explored the national landscape of screening and interventions directed at addressing health-related social needs (HRSNs) and social determinants of health (SDOH). Objective To evaluate the associations of hospital characteristics and area-level socioeconomic indicators to quantify the presence and intensity of hospitals' screening practices, interventions, and collaborative external partnerships that seek to measure and ameliorate patients' HRSNs and SDOH. Design, Setting, and Participants This cross-sectional study used national data from the American Hospital Association Annual Survey Database for fiscal year 2020. General-service, acute-care, nonfederal hospitals were included in the study's final sample, representing nationally diverse hospital settings. Data were analyzed from July 2022 to February 2023. Exposures Organizational characteristics and area-level socioeconomic indicators. Main Outcomes and Measures The outcomes of interest were hospital-reported patient screening of and strategies to address 8 HRSNs and 14 external partnership types to address SDOH. Composite scores for screening practices and external partnership types were calculated, and ordinary least-square regression analyses tested associations of organizational characteristics with outcome measures. Results Of 2858 US hospital respondents (response rate, 67.0%), most hospitals (79.2%; 95% CI, 77.7%-80.7%) reported screening patients for at least 1 HRSN, with food insecurity or hunger needs (66.1%; 95% CI, 64.3%-67.8%) and interpersonal violence (66.4%; 95% CI, 64.7%-68.1%) being the most commonly screened social needs. Most hospitals (79.4%; 95% CI, 66.3%-69.7%) reported having strategies and programs to address patients' HRSNs; notably, most hospitals (52.8%; 95% CI, 51.0%-54.5%) had interventions for transportation barriers. Hospitals reported a mean of 4.03 (95% CI, 3.85-4.20) external partnership types to address SDOH and 5.69 (5.50-5.88) partnership types to address HRSNs, with local or state public health departments and health care practitioners outside of the health system being the most common. Hospitals with accountable care contracts (ACCs) and bundled payment programs (BPPs) reported higher screening practices (ACC: β = 1.03; SE = 0.13; BPP: β = 0.72; SE = 0.14), interventions (ACC: β = 1.45; SE = 0.12; BPP: β = 0.61; SE = 0.13), and external partnership types to address HRSNs (ACC: β = 2.07; SE = 0.23; BPP: β = 1.47; SE = 0.24) and SDOH (ACC: β = 2.64; SE = 0.20; BPP: β = 1.57; SE = 0.21). Compared with nonteaching, government-owned, and for-profit hospitals, teaching and nonprofit hospitals were also more likely to report more HRSN-directed activities. Patterns based on geographic and area-level socioeconomic indicators did not emerge. Conclusions and Relevance This cross-sectional study found that most US hospitals were screening patients for multiple HRSNs. Active participation in value-based care, teaching hospital status, and nonprofit status were the characteristics most consistently associated with greater overall screening activities and number of related partnership types. These results support previously posited associations about which types of hospitals were leading screening uptake and reinforce understanding of the role of hospital incentives in supporting health equity efforts.
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Affiliation(s)
- Jason J. Ashe
- Association of American Medical Colleges, Washington, District of Columbia
| | - Matthew C. Baker
- Association of American Medical Colleges, Washington, District of Columbia
| | - Carla S. Alvarado
- Association of American Medical Colleges, Washington, District of Columbia
| | - Philip M. Alberti
- Association of American Medical Colleges, Washington, District of Columbia
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Kim HS, Lee D, Kim KN, Kim SM, Park YT. Factors associated with the download and use of mobile personal health record applications in Korean hospitals. Health Informatics J 2023; 29:14604582231196955. [PMID: 37604505 DOI: 10.1177/14604582231196955] [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] [Indexed: 08/23/2023]
Abstract
The use of mobile personal health records (m-PHR) has been little studied at the organizational level. This study was to investigate the relationships of various hospital-related factors with m-PHR use in Korean hospitals. Downloads of m-PHR applications for 101 hospitals were examined from May 26 to 30 June 2022. The dependent variable was the number of m-PHR downloads, and the major independent variables included six technological, organizational, and environmental factors. As technological factors, the number of computed tomography and magnetic resonance imagery devices were significantly associated with downloads (RR = 1.119, CI = 1.022-1.226, p = 0.016; and RR = 1.155; 95% CI = 1.024-1.302, p = 0.019, respectively). At the organizational level, the number of physicians, adjusting for the number of beds, and the number of medical information management staff showed significant associations (RR = 1.059, CI = 1.019-1.100, p = 0.004; and RR = 1.026, CI = 1.002-1.050, p = 0.033, respectively). From an environmental standpoint, downloads were positively associated with the proportion of the local population of working age (20-59 years) (RR = 1.102, CI 1.022-1.189, p = 0.012). Healthcare policymakers should pay close attention to these factors to advocate for the widespread use of m-PHR applications.
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Affiliation(s)
- Hyeon Seok Kim
- Biomedical Research Center, Korea University Anam Hospital, Seongbuk-gu, Korea
| | - Dahye Lee
- Department of Business, Hunet Co., Ltd, Guro-gu, Kore
| | - Kee Nyun Kim
- Department of Hospital Administration, Allbarun Seoul HospitalGangdong-gu, Korea
| | - Sang Mi Kim
- Department of Health Management, Jeonju University, Jeonju, Korea
| | - Young-Taek Park
- HIRA Research Institute, Health Insurance Review and Assessment Service, Wonju-si, Korea
- Graduate School of Business Administration, Kyung Hee University, Dongdaemun-gu, Korea
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Schlechter CR, Reese TJ, Wirth J, Gibson B, Kawamoto K, Siaperas T, Pruhs A, Dinkins CP, Zhang Y, Friedrichs M, George S, Lam CY, Pierce JH, Borsato EP, Cornia RC, Stevens L, Martinez A, Bradshaw RL, Kaphingst KA, Hess R, Del Fiol G, Wetter DW. Rapid-cycle designs to adapt interventions for COVID-19 in safety-net healthcare systems. Transl Behav Med 2023; 13:389-399. [PMID: 36999823 PMCID: PMC10255772 DOI: 10.1093/tbm/ibac101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023] Open
Abstract
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.
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Affiliation(s)
- Chelsey R Schlechter
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Thomas J Reese
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Wirth
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Bryan Gibson
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Tracey Siaperas
- Association for Utah Community Health, Salt Lake City, UT, USA
| | - Alan Pruhs
- Association for Utah Community Health, Salt Lake City, UT, USA
| | | | - Yue Zhang
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Stephanie George
- Utah Department of Health and Human Services, Salt Lake City, UT, USA
| | - Cho Y Lam
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Joni H Pierce
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Emerson P Borsato
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Ryan C Cornia
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Leticia Stevens
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Anna Martinez
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Rachel Hess
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - David W Wetter
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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Konopik J, Blunck D. Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review. J Med Internet Res 2023; 25:e41512. [PMID: 37289482 PMCID: PMC10288351 DOI: 10.2196/41512] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 12/14/2022] [Accepted: 04/07/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Digital transformation is currently one of the most influential developments. It is fundamentally changing consumers' expectations and behaviors, challenging traditional firms, and disrupting numerous markets. Recent discussions in the health care sector tend to assess the influence of technological implications but neglect other factors needed for a holistic view on the digital transformation. This calls for a reevaluation of the current state of digital transformation in health care. Consequently, there is a need for a holistic view on the complex interdependencies of digital transformation in the health care sector. OBJECTIVE This study aimed to examine the effects of digital transformation on the health care sector. This is accomplished by providing a conceptual model of the health care sector under digital transformation. METHODS First, the most essential stakeholders in the health care sector were identified by a scoping review and grounded theory approach. Second, the effects on these stakeholders were assessed. PubMed, Web of Science, and Dimensions were searched for relevant studies. On the basis of an integrative review and grounded theory methodology, the relevant academic literature was systematized and quantitatively and qualitatively analyzed to evaluate the impact on the value creation of, and the relationships among, the stakeholders. Third, the findings were synthesized into a conceptual model of the health care sector under digital transformation. RESULTS A total of 2505 records were identified from the database search; of these, 140 (5.59%) were included and analyzed. The results revealed that providers of medical treatments, patients, governing institutions, and payers are the most essential stakeholders in the health care sector. As for the individual stakeholders, patients are experiencing a technology-enabled growth of influence in the sector. Providers are becoming increasingly dependent on intermediaries for essential parts of the value creation and patient interaction. Payers are expected to try to increase their influence on intermediaries to exploit the enormous amounts of data while seeing their business models be challenged by emerging technologies. Governing institutions regulating the health care sector are increasingly facing challenges from new entrants in the sector. Intermediaries increasingly interconnect all these stakeholders, which in turn drives new ways of value creation. These collaborative efforts have led to the establishment of a virtually integrated health care ecosystem. CONCLUSIONS The conceptual model provides a novel and evidence-based perspective on the interrelations among actors in the health care sector, indicating that individual stakeholders need to recognize their role in the system. The model can be the basis of further evaluations of strategic actions of actors and their effects on other actors or the health care ecosystem itself.
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Affiliation(s)
- Jens Konopik
- Institute of Management, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Dominik Blunck
- Institute of Management, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
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White NM, Carter HE, Kularatna S, Borg DN, Brain DC, Tariq A, Abell B, Blythe R, McPhail SM. Evaluating the costs and consequences of computerized clinical decision support systems in hospitals: a scoping review and recommendations for future practice. J Am Med Inform Assoc 2023; 30:1205-1218. [PMID: 36972263 PMCID: PMC10198542 DOI: 10.1093/jamia/ocad040] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/23/2023] [Accepted: 03/03/2023] [Indexed: 11/14/2023] Open
Abstract
OBJECTIVE Sustainable investment in computerized decision support systems (CDSS) requires robust evaluation of their economic impacts compared with current clinical workflows. We reviewed current approaches used to evaluate the costs and consequences of CDSS in hospital settings and presented recommendations to improve the generalizability of future evaluations. MATERIALS AND METHODS A scoping review of peer-reviewed research articles published since 2010. Searches were completed in the PubMed, Ovid Medline, Embase, and Scopus databases (last searched February 14, 2023). All studies reported the costs and consequences of a CDSS-based intervention compared with current hospital workflows. Findings were summarized using narrative synthesis. Individual studies were further appraised against the Consolidated Health Economic Evaluation and Reporting (CHEERS) 2022 checklist. RESULTS Twenty-nine studies published since 2010 were included. Studies evaluated CDSS for adverse event surveillance (5 studies), antimicrobial stewardship (4 studies), blood product management (8 studies), laboratory testing (7 studies), and medication safety (5 studies). All studies evaluated costs from a hospital perspective but varied based on the valuation of resources affected by CDSS implementation, and the measurement of consequences. We recommend future studies follow guidance from the CHEERS checklist; use study designs that adjust for confounders; consider both the costs of CDSS implementation and adherence; evaluate consequences that are directly or indirectly affected by CDSS-initiated behavior change; examine the impacts of uncertainty and differences in outcomes across patient subgroups. DISCUSSION AND CONCLUSION Improving consistency in the conduct and reporting of evaluations will enable detailed comparisons between promising initiatives, and their subsequent uptake by decision-makers.
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Affiliation(s)
- Nicole M White
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Hannah E Carter
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sanjeewa Kularatna
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - David N Borg
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - David C Brain
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Amina Tariq
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Bridget Abell
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Robin Blythe
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Steven M McPhail
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
- Digital Health and Informatics Directorate, Metro South Health, Brisbane, Queensland, Australia
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Rabbani N, Pageler NM, Hoffman JM, Longhurst C, Sharek PJ. Association between Electronic Health Record Implementations and Hospital-Acquired Conditions in Pediatric Hospitals. Appl Clin Inform 2023; 14:521-527. [PMID: 37075806 PMCID: PMC10338103 DOI: 10.1055/a-2077-4419] [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: 02/17/2023] [Accepted: 04/17/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND Implementing an electronic health record (EHR) is one of the most disruptive operational tasks a health system can undergo. Despite anecdotal reports of adverse events around the time of EHR implementations, there is limited corroborating research, particularly in pediatrics. We utilized data from Solutions for Patient Safety (SPS), a network of 145+ children's hospitals that share data and protocols to reduce harm in pediatric care delivery, to study the impact of EHR implementations on patient safety. OBJECTIVE Determine if there is an association between the time immediately surrounding an EHR implementation and hospital-acquired conditions (HACs) rates in pediatrics. METHODS A survey of information technology leaders at pediatric institutions identified EHR implementations occurring between 2012 and 2022. This list was cross-referenced with the SPS database to create an anonymized dataset of 27 sites comprising monthly HAC and care bundle compliance rates in the 7 months preceding and succeeding the transition. Six HACs were analyzed: central-line associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), adverse drug events, surgical site infections (SSIs), pressure injuries (PIs), and falls, in addition to four associated care bundle compliance rates: CLABSI and CAUTI maintenance bundles, SSI bundle, and PI bundle. To determine if there was a statistically significant association with EHR implementation, the observation period was divided into three eras: "before" (months -7 to -3), "during" (months -2 to +2), and "after" go-live (months +3 to +7). Average monthly HAC and bundle compliance rates were calculated across eras. Paired t-tests were performed to compare rates between the eras. RESULTS No statistically significant increase in HAC rates or decrease in bundle compliance rates was observed across the EHR implementation eras. CONCLUSION This multisite study detected no significant increase in HACs and no decrease in preventive care bundle compliance in the months surrounding an EHR implementation.
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Affiliation(s)
- Naveed Rabbani
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States
| | - Natalie M. Pageler
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States
| | - James M. Hoffman
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, United States
| | - Chris Longhurst
- Department of Biomedical Informatics, University of California San Diego Health, La Jolla, California, United States
| | - Paul J. Sharek
- Center for Quality and Patient Safety, Seattle Children's, Seattle, Washington, United States
- Department of Pediatrics, University of Washington, Seattle, Washington, United States
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22
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Klappe ES, Joukes E, Cornet R, de Keizer NF. Effective and feasible interventions to improve structured EHR data registration and exchange: A concept mapping approach and exploration of practical examples in the Netherlands. Int J Med Inform 2023; 173:105023. [PMID: 36893655 DOI: 10.1016/j.ijmedinf.2023.105023] [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: 09/12/2022] [Revised: 01/12/2023] [Accepted: 02/18/2023] [Indexed: 02/27/2023]
Abstract
BACKGROUND Data in Electronic Health Records (EHRs) is often poorly structured and standardized, which hampers data reuse. Research described some examples of interventions to increase and improve structured and standardized data, such as guidelines and policies, training and user friendly EHR interfaces. However, little is known about the translation of this knowledge into practical solutions. Our study aimed to specify the most effective and feasible interventions that enable better structured and standardized EHR data registration and described practical examples of successfully implemented interventions. METHODS A concept mapping approach was used to determine feasible interventions that were considered to be effective or have been successfully implemented in Dutch hospitals. A focus group was held with Chief Medical Information Officers and Chief Nursing Information Officers. After interventions were determined, multidimensional scaling and cluster analysis were performed to categorize sorted interventions using Groupwisdom™, an online tool for concept mapping. Results are presented as Go-Zone plots and cluster maps. Following, semi-structured interviews were conducted to describe practical examples of successful interventions. RESULTS Interventions were classified into seven clusters ranked from highest to lowest perceived effectiveness: (1) education on usefulness and need; (2) strategic and (3) tactical organizational policies; (4) national policy; (5) monitoring and adjusting data (6) structure of and support from the EHR and (7) support in the registration process (EHR independent). Interviewees emphasized the following interventions proven successful in their practice: an enthusiastic ambassador per specialty who is responsible for educating peers by increasing awareness of the direct benefit of structured and standardized data registration; dashboards for continuous feedback on data quality; and EHR functionalities that support (automating) the registration process. CONCLUSIONS Our study provided a list of effective and feasible interventions including practical examples of interventions that have been successful. Organizations should continue to share their best practices to learn from and attempted interventions to prevent implementation of ineffective interventions.
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Affiliation(s)
- E S Klappe
- Amsterdam UMC - University of Amsterdam, Medical Informatics & Amsterdam Public Health, Digital Health & Methodology, Meibergdreef 9, Amsterdam, the Netherlands.
| | - E Joukes
- Amsterdam UMC - University of Amsterdam, Medical Informatics & Amsterdam Public Health, Digital Health & Methodology, Meibergdreef 9, Amsterdam, the Netherlands
| | - R Cornet
- Amsterdam UMC - University of Amsterdam, Medical Informatics & Amsterdam Public Health, Digital Health & Methodology, Meibergdreef 9, Amsterdam, the Netherlands
| | - N F de Keizer
- Amsterdam UMC - University of Amsterdam, Medical Informatics & Amsterdam Public Health, Digital Health & Methodology, Meibergdreef 9, Amsterdam, the Netherlands
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Donovan T, Abell B, Fernando M, McPhail SM, Carter HE. Implementation costs of hospital-based computerised decision support systems: a systematic review. Implement Sci 2023; 18:7. [PMID: 36829247 PMCID: PMC9960445 DOI: 10.1186/s13012-023-01261-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/17/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND The importance of accurately costing implementation strategies is increasingly recognised within the field of implementation science. However, there is a lack of methodological guidance for costing implementation, particularly within digital health settings. This study reports on a systematic review of costing analyses conducted alongside implementation of hospital-based computerised decision support systems. METHODS PubMed, Embase, Scopus and CINAHL databases were searched between January 2010 and August 2021. Two reviewers independently screened and selected original research studies that were conducted in a hospital setting, examined the implementation of a computerised decision support systems and reported implementation costs. The Expert Recommendations for Implementing Change Framework was used to identify and categorise implementation strategies into clusters. A previously published costing framework was applied to describe the methods used to measure and value implementation costs. The reporting quality of included studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist. RESULTS Titles and abstracts of 1836 articles were screened, with nine articles eligible for inclusion in the review. Implementation costs were most frequently reported under the 'evaluative and iterative strategies' cluster, followed by 'provide interactive assistance'. Labour was the largest implementation-related cost in the included papers, irrespective of implementation strategy. Other reported costs included consumables, durable assets and physical space, which was mostly associated with stakeholder training. The methods used to cost implementation were often unclear. There was variation across studies in the overall quality of reporting. CONCLUSIONS A relatively small number of papers have described computerised decision support systems implementation costs, and the methods used to measure and value these costs were not well reported. Priorities for future research should include establishing consistent terminology and appropriate methods for estimating and reporting on implementation costs. TRIAL REGISTRATION The review protocol is registered with PROSPERO (ID: CRD42021272948).
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Affiliation(s)
- Thomasina Donovan
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
| | - Bridget Abell
- grid.1024.70000000089150953Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD Australia
| | - Manasha Fernando
- grid.1024.70000000089150953Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD Australia
| | - Steven M. McPhail
- grid.1024.70000000089150953Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD Australia ,grid.474142.0Digital Health and Informatics, Metro South Health, Brisbane, QLD Australia
| | - Hannah E. Carter
- grid.1024.70000000089150953Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD Australia
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24
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Abbasi R, Alavi NM, Farzandipour M, Gong Y, Nabovati E. Using pharmacy surveillance information systems to Monitor the dispensing practice of under-controlled drugs: A qualitative study on necessities, requirements, and implementation challenges. INFORMATICS IN MEDICINE UNLOCKED 2023. [DOI: 10.1016/j.imu.2023.101198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
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25
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Lee R, Laurent R, Furelau P, Doumard E, Ferrier A, Bosch L, Ba C, Menut R, Kurrek M, Geeraerts T, Piau A, Minville V. Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study. JMIR Perioper Med 2023; 6:e39044. [PMID: 36645704 PMCID: PMC9887512 DOI: 10.2196/39044] [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: 04/26/2022] [Revised: 08/02/2022] [Accepted: 08/16/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The ongoing COVID-19 pandemic has highlighted the potential of digital health solutions to adapt the organization of care in a crisis context. OBJECTIVE Our aim was to describe the relationship between the MyRISK score, derived from self-reported data collected by a chatbot before the preanesthetic consultation, and the occurrence of postoperative complications. METHODS This was a single-center prospective observational study that included 401 patients. The 16 items composing the MyRISK score were selected using the Delphi method. An algorithm was used to stratify patients with low (green), intermediate (orange), and high (red) risk. The primary end point concerned postoperative complications occurring in the first 6 months after surgery (composite criterion), collected by telephone and by consulting the electronic medical database. A logistic regression analysis was carried out to identify the explanatory variables associated with the complications. A machine learning model was trained to predict the MyRISK score using a larger data set of 1823 patients classified as green or red to reclassify individuals classified as orange as either modified green or modified red. User satisfaction and usability were assessed. RESULTS Of the 389 patients analyzed for the primary end point, 16 (4.1%) experienced a postoperative complication. A red score was independently associated with postoperative complications (odds ratio 5.9, 95% CI 1.5-22.3; P=.009). A modified red score was strongly correlated with postoperative complications (odds ratio 21.8, 95% CI 2.8-171.5; P=.003) and predicted postoperative complications with high sensitivity (94%) and high negative predictive value (99%) but with low specificity (49%) and very low positive predictive value (7%; area under the receiver operating characteristic curve=0.71). Patient satisfaction numeric rating scale and system usability scale median scores were 8.0 (IQR 7.0-9.0) out of 10 and 90.0 (IQR 82.5-95.0) out of 100, respectively. CONCLUSIONS The MyRISK digital perioperative risk score established before the preanesthetic consultation was independently associated with the occurrence of postoperative complications. Its negative predictive strength was increased using a machine learning model to reclassify patients identified as being at intermediate risk. This reliable numerical categorization could be used to objectively refer patients with low risk to teleconsultation.
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Affiliation(s)
| | - Rodolphe Laurent
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
| | - Philippine Furelau
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
| | - Emmanuel Doumard
- Institut de Recherche en Informatique de Toulouse, Université Toulouse III Paul Sabatier, Toulouse, France
| | - Anne Ferrier
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
| | - Laetitia Bosch
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
| | - Cyndie Ba
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
| | - Rémi Menut
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
| | - Matt Kurrek
- Department of Anesthesia, University of Toronto, Toronto, ON, Canada
| | - Thomas Geeraerts
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
| | - Antoine Piau
- Département de Gériatrie, Centre Hospitalier Universitaire Rangueil, Toulouse, France
| | - Vincent Minville
- Département d'Anesthésie-Réanimation, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire Purpan, Toulouse, France
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Frost ED, Donlon J, Mitwally A, Magnani G, Tomlin S, Berk M, Koola MM. Paper Charts: A Continued Barrier to Psychiatric Care in the Midst of a Broken and Fragmented Mental Health System. J Nerv Ment Dis 2023; 211:1-4. [PMID: 36596285 DOI: 10.1097/nmd.0000000000001606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
ABSTRACT The use of electronic medical records (EMRs) has increased dramatically over the last 15 years. However, psychiatry has lagged. EMRs are not being used by many mental health professionals. There are many reasons, including financial burden, lack of technological support, stigma, disaggregation of upfront costs, indirect benefits, and concerns about privacy and Health Insurance Portability and Accountability Act compliance. Obtaining paper records is a lengthy process, making continuity of care and emergency care challenging. Even when records are made available, it is common for information to be incomplete. The objective of this article is to highlight how the continued use of paper charts may decrease the quality and timeliness of psychiatric care provided and to discuss the psychiatry-specific issues created by EMRs. A case illustrating the disruption of care by continued use of paper charts in psychiatric facilities is presented. The growing use of EMR creates new challenges that affect psychiatry in ways other fields are not affected. These challenges include confidentiality issues, the frequent change/spectrum of diagnoses, determining how much information should be recorded in a note, and what the implications are of the information recorded. This article will discuss the use of EMRs in psychiatry, as well as encourage medical students and residents to take a deeper dive into psychiatry-specific issues regarding the use of EMR. EMR use may have a profound impact on our patient outcomes, health care delivery system, shorter inpatient stay, as well as reduce health care costs.
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Affiliation(s)
| | | | - Aimin Mitwally
- Department of Psychiatry and Behavioral Health, Cooper University Health Care
| | - Gretchen Magnani
- Department of Psychiatry and Behavioral Health, Cooper University Health Care, Cooper Medical School of Rowan University, Camden, New Jersey
| | - Shay Tomlin
- Department of Psychiatry and Behavioral Health, Cooper University Health Care
| | - Michael Berk
- Deakin University, IMPACT-the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
| | - Maju Mathew Koola
- Department of Psychiatry and Behavioral Health, Cooper University Health Care, Cooper Medical School of Rowan University, Camden, New Jersey
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An empirical study for blockchain-based information sharing systems in electronic health records: A mediation perspective. COMPUTERS IN HUMAN BEHAVIOR 2023. [DOI: 10.1016/j.chb.2022.107471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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28
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van de Burgt BWM, Wasylewicz ATM, Dullemond B, Grouls RJE, Egberts TCG, Bouwman A, Korsten EMM. Combining text mining with clinical decision support in clinical practice: a scoping review. J Am Med Inform Assoc 2022; 30:588-603. [PMID: 36512578 PMCID: PMC9933076 DOI: 10.1093/jamia/ocac240] [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: 08/25/2022] [Revised: 10/17/2022] [Accepted: 12/01/2022] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Combining text mining (TM) and clinical decision support (CDS) could improve diagnostic and therapeutic processes in clinical practice. This review summarizes current knowledge of the TM-CDS combination in clinical practice, including their intended purpose, implementation in clinical practice, and barriers to such implementation. MATERIALS AND METHODS A search was conducted in PubMed, EMBASE, and Cochrane Library databases to identify full-text English language studies published before January 2022 with TM-CDS combination in clinical practice. RESULTS Of 714 identified and screened unique publications, 39 were included. The majority of the included studies are related to diagnosis (n = 26) or prognosis (n = 11) and used a method that was developed for a specific clinical domain, document type, or application. Most of the studies selected text containing parts of the electronic health record (EHR), such as reports (41%, n = 16) and free-text narratives (36%, n = 14), and 23 studies utilized a tool that had software "developed for the study". In 15 studies, the software source was openly available. In 79% of studies, the tool was not implemented in clinical practice. Barriers to implement these tools included the complexity of natural language, EHR incompleteness, validation and performance of the tool, lack of input from an expert team, and the adoption rate among professionals. DISCUSSION/CONCLUSIONS The available evidence indicates that the TM-CDS combination may improve diagnostic and therapeutic processes, contributing to increased patient safety. However, further research is needed to identify barriers to implementation and the impact of such tools in clinical practice.
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Affiliation(s)
- Britt W M van de Burgt
- Corresponding Author: Britt W.M. van de Burgt, MSc, Department Healthcare Intelligence, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands;
| | - Arthur T M Wasylewicz
- Department Healthcare Intelligence, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Bjorn Dullemond
- Department of Mathematics and Computer Science, Technical University of Eindhoven, Eindhoven, The Netherlands
| | - Rene J E Grouls
- Department of Clinical Pharmacy, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Toine C G Egberts
- Department of Clinical Pharmacy, University Medical Centre Utrecht, Utrecht, the Netherlands,Department of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Arthur Bouwman
- Department of Electrical Engineering, Signal Processing Group, Technical University Eindhoven, Eindhoven, The Netherlands,Department of Anesthesiology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Erik M M Korsten
- Department Healthcare Intelligence, Catharina Hospital Eindhoven, Eindhoven, The Netherlands,Department of Electrical Engineering, Signal Processing Group, Technical University Eindhoven, Eindhoven, The Netherlands
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Alzghaibi H, Mughal YH, Alkhamees M, Alasqah I, Alhlayl AS, Alwheeb MH, Alrehiely M. The impact financial resources on implementation of large-scale electronic health records in the Saudi Arabia's primary healthcare centers: Mixed methods. Front Public Health 2022; 10:1037675. [PMID: 36579058 PMCID: PMC9790912 DOI: 10.3389/fpubh.2022.1037675] [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: 09/06/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022] Open
Abstract
Introduction There is worldwide demand for the implementation of electronic health systems and a transformation to electronic transactions in healthcare organizations. This move to e-health transformation stems from the perceived positive impact that e-health systems have in improving the quality of healthcare and, in turn, reducing expenses. Despite this, more than half of previous Electronic Health Record System (EHRS) implementation projects have failed due to several barriers and challenges such as cost. Aim of the study To evaluate the impact of financial resources (FR) on the implementation of the EHRS in PHCs in SA. Methods A mixed methods approach was implemented. SPSS and AMOS-SEM are used to test reliability and validity and hypotheses. Thirty-one (59%) out of 51 policy makers at the MoH filled and returned the questionnaire while 13 policymakers were interviewed using semi-structure interviews. Results Results revealed that both measurement model and structural models met the threshold. All scales are found reliable and valid. Furthermore financial resources have positive impact on EHRS implementation. Findings from both studies show that financial resources have a very positive impact to facilitate large-scale EHRs implementation and overcome barriers that may lead to the failure of the project.
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Affiliation(s)
- Haitham Alzghaibi
- Department of Health Informatics, College of Public Health and Health Informatics, Qassim University, Albukayriyah, Saudi Arabia,*Correspondence: Haitham Alzghaibi
| | - Yasir Hayat Mughal
- Department of Health Administration, College of Public Health and Health Informatics, Qassim University, Albukayriyah, Saudi Arabia,Yasir Hayat Mughal
| | - Mohammad Alkhamees
- Department of Health Administration, College of Public Health and Health Informatics, Qassim University, Albukayriyah, Saudi Arabia
| | - Ibrahim Alasqah
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Albukayriyah, Saudi Arabia
| | - Adel Sulaiman Alhlayl
- Department of Academic Directorate for Training and Research Affairs, Hail Health Cluster, Hail, Saudi Arabia
| | - Mohammed Hamed Alwheeb
- Department of Business Development, Institute of Research and Consulting Services, Prince Sattam University, Riyadh, Saudi Arabia
| | - Majedah Alrehiely
- Department of Computer Science and Informatics, Applied College, AlUla, Saudi Arabia
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Alzghaibi HA, Hutchings HA. Exploring facilitators of the implementation of electronic health records in Saudi Arabia. BMC Med Inform Decis Mak 2022; 22:321. [PMID: 36476224 PMCID: PMC9730584 DOI: 10.1186/s12911-022-02072-5] [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: 02/08/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION The introduction of information technology was one of the key priorities for policy-makers in health care organisations over the last two decades due to the potential benefits of this technology to improve health care services and quality. However, approximately 50% of those projects failed to achieve their intended aims. This was a result of several factors, including the cost of these projects. The Saudi Ministry of Health (MoH) planned to implement an electronic health record system (EHRS) in approximately 2100 primary health care centres nationwide. It was acknowledged that this project may face hurdles, which might result in the failure of the project if implementation facilitators were not first determined. According to the Saudi MoH, previous electronic health record system implementation in primary health care centres failed as a consequence of several barriers, such as poor infrastructure, lack of connectivity and lack of interoperability. However, the facilitators of successful electronic health record system implementation in Saudi primary health care centres are not understood. AIM To determine the facilitators that enhance the success of the implementation of an EHRS in public primary health care centres in SA. METHOD A mixed methods approach was used with both qualitative and quantitative methods (qualitative using semistructured interviews and quantitative with a closed survey). The purpose of the utilisation of exploratory mixed methods was to identify a wide range of facilitators that may influence EHRS implementation. The data were obtained from two different perspectives, primary health care centre practitioners and project team members. A total of 351 practitioners from 21 primary health care centres participated in the online survey, and 14 key informants at the Saudi Ministry of Health who were directly involved in the electronic health record system implementation in the primary health care centres agreed to be interviewed face to face. RESULTS The findings from both studies revealed several facilitators. Among these facilitators, financial resources were found to be the most influential factor that assisted in overcoming some barriers, such as software selection. The size of the primary health care centres was the second facilitator of successful implementation, despite the scale of the project. Perceived usefulness was another facilitator identified in both the interviews and the survey. More than 90% of the participants thought that the electronic health record system was useful and could contribute to improving the quality of health care services. While a high level of satisfaction was expressed towards the electronic health record system's usability and efficiency, low levels of satisfaction were recorded for organisational factors such as user involvement, training and support. Hence, system usability and efficiency were documented to be other facilitators of successful electronic health record system implementation in Saudi primary health care centres. CONCLUSION The findings of the present study suggest that sufficient financial support is essential to enhance the success of electronic health record system implementation despite the scale of the project. Additionally, effective leadership and project management are core factors to overcome many obstacles and ensure the success of large-scale projects.
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Affiliation(s)
- Haitham A. Alzghaibi
- grid.412602.30000 0000 9421 8094Department of Health Informatics, College of Public Health and Health Informatics, Qassim University, 52741 Albukayriah, Saudi Arabia
| | - Hayley A. Hutchings
- grid.4827.90000 0001 0658 8800Medical School, Swansea University, Singleton Park, Swansea, SA2 8PP UK
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Sadeghi R. JK, Prybutok VR, Sauser B. Theoretical and practical applications of blockchain in healthcare information management. INFORMATION & MANAGEMENT 2022. [DOI: 10.1016/j.im.2022.103649] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Choi JS, Lin M, Park S, Abdur-Rahman F, Kim JH, Voelker CCJ. Physician satisfaction with telemedicine and in-person visits in otolaryngology. Am J Otolaryngol 2022; 43:103596. [PMID: 35969912 DOI: 10.1016/j.amjoto.2022.103596] [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: 07/31/2022] [Accepted: 08/07/2022] [Indexed: 11/01/2022]
Abstract
OBJECTIVES To investigate the differential factors associated with physician satisfaction between telemedicine and in-person visits in otolaryngology. METHODS Study data included 646 telemedicine and 365 in-person encounters delivered from May-June 2020 at a tertiary center outpatient setting. Encounter-specific physician satisfaction was rated by 15 otolaryngologists using Provider Satisfaction Questionnaire (range 0-100) consisted of 5 items (patient needs addressed, patient involvement, adequacy of information given, quality of emotion support provided, and general interaction satisfaction). A multivariable linear mixed-effects model was used to explore patient demographic and clinical factors associated with physician satisfaction. RESULTS Physician satisfaction scores for telemedicine and in-person visits were 83.0 [95 % CI: 77.0-88.9] and 88.1 [95 % CI: 82.5-93.6], respectively. Among telemedicine visits, physician satisfaction scores were significantly higher for follow-up (vs. new), videoconference (vs. telephone) encounters, and English-speaking patients in a multivariable model. New encounters had significantly lower satisfaction subdomain scores for adequacy of information given to the patient (β = -4.7 [95 % CI: -7.3 to -2.0], p = 0.001) and addressing the needs of the patient among telemedicine visits (β = -4.1, [95 % CI: -7.1 to -1.1], p = 0.007) while there were no differences in satisfaction scores between new vs follow-up visits among in-person visits. For non-English speaking patients, the physician satisfaction scores were significantly lower for subdomain scores assessing active patient participation (β = -13.1, [95 % CI: -13.1 to -17.4], p < 0.001) and emotional support given to the patient (β = -7.8, [95 % CI: -11.0 to -4.5], p < 0.001) for telemedicine visits. CONCLUSIONS Telemedicine has been broadly adopted as an alternative option to deliver care in otolaryngology since COVID-19 pandemic. Appropriate triaging based on patient and encounter characteristics may enhance physician satisfaction and overall experiences with telemedicine. Further efforts are needed to provide adequate interpretation and videoconference services during telemedicine visits.
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Affiliation(s)
- Janet S Choi
- Department of Otolaryngology-Head & Neck Surgery, University of Minnesota, Minneapolis, MN, USA.
| | - Matthew Lin
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Soyun Park
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Faiz Abdur-Rahman
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - James H Kim
- Caruso Department of Otolaryngology-Head & Neck Surgery, Keck, School of Medicine of the University of Southern California, Los Angeles, CA, USA
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Assadi A, Laussen PC, Goodwin AJ, Goodfellow S, Dixon W, Greer RW, Jegatheeswaran A, Singh D, McCradden M, Gallant SN, Goldenberg A, Eytan D, Mazwi ML. An integration engineering framework for machine learning in healthcare. Front Digit Health 2022; 4:932411. [PMID: 35990013 PMCID: PMC9386122 DOI: 10.3389/fdgth.2022.932411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Background and Objectives Machine Learning offers opportunities to improve patient outcomes, team performance, and reduce healthcare costs. Yet only a small fraction of all Machine Learning models for health care have been successfully integrated into the clinical space. There are no current guidelines for clinical model integration, leading to waste, unnecessary costs, patient harm, and decreases in efficiency when improperly implemented. Systems engineering is widely used in industry to achieve an integrated system of systems through an interprofessional collaborative approach to system design, development, and integration. We propose a framework based on systems engineering to guide the development and integration of Machine Learning models in healthcare. Methods Applied systems engineering, software engineering and health care Machine Learning software development practices were reviewed and critically appraised to establish an understanding of limitations and challenges within these domains. Principles of systems engineering were used to develop solutions to address the identified problems. The framework was then harmonized with the Machine Learning software development process to create a systems engineering-based Machine Learning software development approach in the healthcare domain. Results We present an integration framework for healthcare Artificial Intelligence that considers the entirety of this system of systems. Our proposed framework utilizes a combined software and integration engineering approach and consists of four phases: (1) Inception, (2) Preparation, (3) Development, and (4) Integration. During each phase, we present specific elements for consideration in each of the three domains of integration: The Human, The Technical System, and The Environment. There are also elements that are considered in the interactions between these domains. Conclusion Clinical models are technical systems that need to be integrated into the existing system of systems in health care. A systems engineering approach to integration ensures appropriate elements are considered at each stage of model design to facilitate model integration. Our proposed framework is based on principles of systems engineering and can serve as a guide for model development, increasing the likelihood of successful Machine Learning translation and integration.
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Affiliation(s)
- Azadeh Assadi
- Department of Critical Care Medicine, Hospital for Sick Children, Toronto, ON, Canada
- Institute of Biomaterials and Biomedical Engineering, Department of Engineering and Applied Sciences, University of Toronto, Toronto, ON, Canada
- Correspondence: Azadeh Assadi
| | - Peter C. Laussen
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Executive Vice President for Health Affairs, Boston Children’s Hospital, Boston, MA, United States
| | - Andrew J. Goodwin
- Department of Critical Care Medicine, Hospital for Sick Children, Toronto, ON, Canada
- School of Biomedical Engineering, University of Sydney, Sydney, NSW, Australia
| | - Sebastian Goodfellow
- Department of Civil and Mineral Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON, Canada
| | - William Dixon
- Department of Critical Care Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Robert W. Greer
- Department of Critical Care Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Anusha Jegatheeswaran
- Department of Surgery, Division of Paediatric Cardiac Surgery, Hospital for Sick Children, Toronto, ON, Canada
| | - Devin Singh
- Translational Medicine, Peter Gilgan Centre for Research & Learning, Toronto, ON, Canada
- Department of Emergency Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Melissa McCradden
- Department of Bioethics, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Clinical and Public Health, Dalla Lana School of Public Health, Toronto, ON, Canada
- Genetics & Genome Biology, Peter Gilgan Centre for Research & Learning, Toronto, ON, Canada
| | - Sara N. Gallant
- Department of Critical Care Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Anna Goldenberg
- Genetics & Genome Biology, Peter Gilgan Centre for Research & Learning, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
- Vector institute for Artificial Intelligence, University of Toronto, Toronto, ON, Canada
- CIFAR, Toronto, ON, Canada
| | - Danny Eytan
- Department of Critical Care Medicine, Hospital for Sick Children, Toronto, ON, Canada
- Department of Medicine, Technion, Haifa, Israel
- Department of Pediatric Critical Care, Rambam Medical Center, Haifa, Israel
| | - Mjaye L. Mazwi
- Department of Critical Care Medicine, Hospital for Sick Children, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Translational Medicine, Peter Gilgan Centre for Research & Learning, Toronto, ON, Canada
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Abdelhalim H, Berber A, Lodi M, Jain R, Nair A, Pappu A, Patel K, Venkat V, Venkatesan C, Wable R, Dinatale M, Fu A, Iyer V, Kalove I, Kleyman M, Koutsoutis J, Menna D, Paliwal M, Patel N, Patel T, Rafique Z, Samadi R, Varadhan R, Bolla S, Vadapalli S, Ahmed Z. Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine. Front Genet 2022; 13:929736. [PMID: 35873469 PMCID: PMC9299079 DOI: 10.3389/fgene.2022.929736] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/25/2022] [Indexed: 12/13/2022] Open
Abstract
Precision medicine has greatly aided in improving health outcomes using earlier diagnosis and better prognosis for chronic diseases. It makes use of clinical data associated with the patient as well as their multi-omics/genomic data to reach a conclusion regarding how a physician should proceed with a specific treatment. Compared to the symptom-driven approach in medicine, precision medicine considers the critical fact that all patients do not react to the same treatment or medication in the same way. When considering the intersection of traditionally distinct arenas of medicine, that is, artificial intelligence, healthcare, clinical genomics, and pharmacogenomics—what ties them together is their impact on the development of precision medicine as a field and how they each contribute to patient-specific, rather than symptom-specific patient outcomes. This study discusses the impact and integration of these different fields in the scope of precision medicine and how they can be used in preventing and predicting acute or chronic diseases. Additionally, this study also discusses the advantages as well as the current challenges associated with artificial intelligence, healthcare, clinical genomics, and pharmacogenomics.
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Affiliation(s)
- Habiba Abdelhalim
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Asude Berber
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Mudassir Lodi
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Rihi Jain
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Achuth Nair
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Anirudh Pappu
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Kush Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Vignesh Venkat
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Cynthia Venkatesan
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Raghu Wable
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Matthew Dinatale
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Allyson Fu
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Vikram Iyer
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Ishan Kalove
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Marc Kleyman
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Joseph Koutsoutis
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - David Menna
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Mayank Paliwal
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Nishi Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Thirth Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Zara Rafique
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Rothela Samadi
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Roshan Varadhan
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Shreyas Bolla
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Sreya Vadapalli
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Zeeshan Ahmed
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States.,Department of Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, United States
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Wilson NA, Tcheng JE, Graham J, Drozda JP. Advancing Patient Safety Surrounding Medical Devices: Barriers, Strategies, and Next Steps in Health System Implementation of Unique Device Identifiers. MEDICAL DEVICES-EVIDENCE AND RESEARCH 2022; 15:177-186. [PMID: 35761948 PMCID: PMC9233486 DOI: 10.2147/mder.s364539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/09/2022] [Indexed: 12/21/2022] Open
Abstract
Background The requirement for medical device manufacturers to label their devices with a unique device identifier (UDI) was formalized by the 2013 US Food and Drug Administration Unique Device Identification System Rule. However, parallel regulatory requirement for US health systems to use UDIs, particularly the electronic documentation of UDIs during patient care is lacking. Despite the lack of regulation, some health systems have implemented and are using UDIs. To assess the current state, we studied representative health system UDI implementation experiences, including barriers and the strategies to overcome them, and identified next steps to advance UDI adoption. Methods Semi-structured interviews were performed with health system personnel involved in UDI implementation in their cardiac catheterization labs or operating rooms. Interviews were transcribed and analyzed using the framework methodology of Ritchie and Spencer. An expert panel evaluated findings and informed barriers, strategies, and next steps. Results Twenty-four interviews at ten health systems were performed. Identified barriers were internal (lack of organizational support, information technology gaps, clinical resistance) and external (information technology vendor resistance, limitations in manufacturer support, gaps in reference data, lack of an overall UDI system). Identified strategies included relationship building, education, engagement, and communication. Next steps to advance UDI adoption focus on education, research, support, and policy. Conclusions and Implications Delineation of UDI implementation barriers and strategies provides guidance and support for health systems to adopt the UDI standard and electronically document UDIs during clinical care. Next steps illuminate critical areas for attention to advance UDI adoption and achieve a comprehensive UDI system in health care to strengthen patient care and safety.
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Affiliation(s)
- Natalia A Wilson
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - James E Tcheng
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jove Graham
- Center for Pharmacy Innovation and Outcomes, Geisinger, Danville, PA, USA
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Doll J, Kreikemeier M, Maddigan C, Marshall N, Young M. Analyzing Unnecessary Imaging for Low Back Pain in Nebraska from a Statewide Health Information Exchange. J Med Syst 2022; 46:51. [PMID: 35678939 DOI: 10.1007/s10916-022-01838-8] [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: 05/26/2020] [Accepted: 05/27/2022] [Indexed: 11/25/2022]
Abstract
Excessive amounts of resources in healthcare are wasted due to duplicated or unnecessary health screenings, especially in the diagnosis of low back pain (LBP). Research shows that two-thirds of people will present with LBP at some point throughout their lifetime, but 20-50% of high-tech imaging procedures fail to provide information that improves the patient's condition, representing unnecessary services. The purpose of this study was to evaluate the existence of unnecessary imaging for low back pain throughout healthcare systems in Nebraska based on what was documented in the electronic health record. This study was a retrospective electronic health record analysis of a limited data set focused on procedures related to imaging for LBP extracted from Nebraska Health Information Exchange (HIE) managed by CyncHealth. The sample included 937 patient records with a diagnosis of LBP who received imaging in the state of Nebraska and whose health record was recorded in the Nebraska HIE. To determine necessity, records were categorized in three areas including necessary imaging, likely wasteful imaging, or wasteful imaging based on the criteria from the "First, Do No Harm" study conducted by the Washington Health Alliance. Results revealed a total of 51% of low back pain imaging considered wasteful, 35% likely wasteful, and 14% necessary. Based on these results, further research is warranted to determine specific demographics related to necessary, likely wasteful, and wasteful imaging and the purpose for performing these expensive imaging procedures.
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Affiliation(s)
- Joy Doll
- CyncHealth, Dba Nebraska Health Information Initiative, PO Box 27842, Omaha, NE, 68127, USA.
| | - Madison Kreikemeier
- Former Students at Creighton University, 2500 California Plaza, Omaha, NE, 68178, USA
| | - Cassie Maddigan
- Former Students at Creighton University, 2500 California Plaza, Omaha, NE, 68178, USA
| | - Nathaniel Marshall
- Former Students at Creighton University, 2500 California Plaza, Omaha, NE, 68178, USA
| | - Maggie Young
- Former Students at Creighton University, 2500 California Plaza, Omaha, NE, 68178, USA
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von Wedel P, Hagist C, Liebe JD, Esdar M, Hübner U, Pross C. Effects of hospital digitization on clinical outcomes and patient satisfaction: Nationwide multiple regression analysis across German hospitals (Preprint). J Med Internet Res 2022; 24:e40124. [DOI: 10.2196/40124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/30/2022] [Accepted: 09/23/2022] [Indexed: 11/13/2022] Open
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Buivydaite R, Reen G, Kovalevica T, Dodd H, Hicks I, Vincent C, Maughan D. Improving usability of Electronic Health Records in a UK Mental Health setting: a feasibility study. J Med Syst 2022; 46:50. [PMID: 35674989 PMCID: PMC9177469 DOI: 10.1007/s10916-022-01832-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 05/13/2022] [Accepted: 05/16/2022] [Indexed: 11/15/2022]
Abstract
Background Electronic Health Records (EHRs) can help clinicians to plan, document and deliver care for patients in healthcare services. When used consistently, EHRs can advance patient safety and quality, and reduce clinician’s workload. However, usability problems can make it difficult for clinicians to use EHRs effectively, which can negatively impact both healthcare professionals and patients. Objective To improve usability of EHRs within a mental health service in the UK. Methods This was a feasibility study conducted with two mental health teams. A mixed-methods approach was employed. Focus group discussions with clinicians identified existing usability problems in EHRs and changes were made to address these problems. Updated EHR assessment forms were evaluated by comparing the following measures pre and post changes: (1) usability testing to monitor time spent completing and duplicating patient information in EHRs, (2) clinician’s experience of using EHRs, and (3) proportion of completed EHR assessment forms. Results Usability testing with clinicians (n = 3) showed that the time taken to complete EHR assessment forms and time spent duplicating patient information decreased. Clinician’s experience of completing EHR assessment forms also significantly improved post changes compared to baseline (n = 71; p < 0.005). There was a significant increase in completion of most EHR forms by both teams after EHR usability improvements (all at p < 0.01). Conclusions Usability improvements to EHRs can reduce the time taken to complete forms, advance clinician’s experience and increase usage of EHRs. It is important to engage healthcare professionals in the usability improvement process of EHRs in mental health services. Supplementary information The online version contains supplementary material available at 10.1007/s10916-022-01832-0.
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Affiliation(s)
- Ruta Buivydaite
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
| | - Gurpreet Reen
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | | | - Harry Dodd
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Ian Hicks
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Charles Vincent
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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Csonka P, Korppi M. Electronic health record databases provide a platform for intervention studies. Acta Paediatr 2022; 111:1104-1106. [PMID: 35332573 DOI: 10.1111/apa.16329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 02/25/2022] [Accepted: 03/10/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Péter Csonka
- Tampere Center for Child, Adolescent and Maternal Health Research Faculty of Medicine and Health Technology Tampere University and Tampere University Hospital Tampere Finland
- Terveystalo Healthcare Tampere Finland
| | - Matti Korppi
- Tampere Center for Child, Adolescent and Maternal Health Research Faculty of Medicine and Health Technology Tampere University and Tampere University Hospital Tampere Finland
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Clinical Network for Big Data and Personalized Health: Study Protocol and Preliminary Results. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116365. [PMID: 35681950 PMCID: PMC9180513 DOI: 10.3390/ijerph19116365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/09/2022] [Accepted: 05/20/2022] [Indexed: 11/28/2022]
Abstract
The use of secondary hospital-based clinical data and electronical health records (EHR) represent a cost-efficient alternative to investigate chronic conditions. We present the Clinical Network Big Data and Personalised Health project, which collects EHRs for patients accessing hospitals in Central-Southern Italy, through an integrated digital platform to create a digital hub for the collection, management and analysis of personal, clinical and environmental information for patients, associated with a biobank to perform multi-omic analyses. A total of 12,864 participants (61.7% women, mean age 52.6 ± 17.6 years) signed a written informed consent to allow access to their EHRs. The majority of hospital access was in obstetrics and gynaecology (36.3%), while the main reason for hospitalization was represented by diseases of the circulatory system (21.2%). Participants had a secondary education (63.5%), were mostly retired (25.45%), reported low levels of physical activity (59.6%), had low adherence to the Mediterranean diet and were smokers (30.2%). A large percentage (35.8%) were overweight and the prevalence of hypertension, diabetes and hyperlipidemia was 36.4%, 11.1% and 19.6%, respectively. Blood samples were retrieved for 8686 patients (67.5%). This project is aimed at creating a digital hub for the collection, management and analysis of personal, clinical, diagnostic and environmental information for patients, and is associated with a biobank to perform multi-omic analyses.
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Kariotis TC, Prictor M, Chang S, Gray K. Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review. J Med Internet Res 2022; 24:e30405. [PMID: 35507393 PMCID: PMC9118021 DOI: 10.2196/30405] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/14/2021] [Accepted: 01/13/2022] [Indexed: 01/20/2023] Open
Abstract
Background The adoption of electronic health records (EHRs) and electronic medical records (EMRs) has been slow in the mental health context, partly because of concerns regarding the collection of sensitive information, the standardization of mental health data, and the risk of negatively affecting therapeutic relationships. However, EHRs and EMRs are increasingly viewed as critical to improving information practices such as the documentation, use, and sharing of information and, more broadly, the quality of care provided. Objective This paper aims to undertake a scoping review to explore the impact of EHRs on information practices in mental health contexts and also explore how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs in mental health contexts. Methods We considered a scoping review to be the most appropriate method for this review because of the relatively recent uptake of EHRs in mental health contexts. A comprehensive search of electronic databases was conducted with no date restrictions for articles that described the use of EHRs, EMRs, or associated systems in the mental health context. One of the authors reviewed all full texts, with 2 other authors each screening half of the full-text articles. The fourth author mediated the disagreements. Data regarding study characteristics were charted. A narrative and thematic synthesis approach was taken to analyze the included studies’ results and address the research questions. Results The final review included 40 articles. The included studies were highly heterogeneous with a variety of study designs, objectives, and settings. Several themes and subthemes were identified that explored the impact of EHRs on information practices in the mental health context. EHRs improved the amount of information documented compared with paper. However, mental health–related information was regularly missing from EHRs, especially sensitive information. EHRs introduced more standardized and formalized documentation practices that raised issues because of the focus on narrative information in the mental health context. EHRs were found to disrupt information workflows in the mental health context, especially when they did not include appropriate templates or care plans. Usability issues also contributed to workflow concerns. Managing the documentation of sensitive information in EHRs was problematic; clinicians sometimes watered down sensitive information or chose to keep it in separate records. Concerningly, the included studies rarely involved service user perspectives. Furthermore, many studies provided limited information on the functionality or technical specifications of the EHR being used. Conclusions We identified several areas in which work is needed to ensure that EHRs benefit clinicians and service users in the mental health context. As EHRs are increasingly considered critical for modern health systems, health care decision-makers should consider how EHRs can better reflect the complexity and sensitivity of information practices and workflows in the mental health context.
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Affiliation(s)
- Timothy Charles Kariotis
- School of Computing and Information Systems, University of Melbourne, Parkville, Australia.,Melbourne School of Government, The University of Melbourne, Carlton, Australia
| | - Megan Prictor
- Melbourne Law School, University of Melbourne, Carlton, Australia.,Centre for Digital Transformation of Health, University of Melbourne, Parkville, Australia
| | - Shanton Chang
- School of Computing and Information Systems, University of Melbourne, Parkville, Australia
| | - Kathleen Gray
- Centre for Digital Transformation of Health, University of Melbourne, Parkville, Australia
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Langley J, Jelicic N, Hill TG, Kervin E, Pesut B, Duggleby W, Warner G. Intersectoral communication amongst healthcare providers regarding care plans: a scoping review. Palliat Care Soc Pract 2022; 16:26323524221092457. [PMID: 35493960 PMCID: PMC9039456 DOI: 10.1177/26323524221092457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/17/2022] [Indexed: 11/16/2022] Open
Abstract
Palliative care has become an increasingly important public health issue due to the rising acceptance of implementing a health promoting palliative care approach. To explore communication pathways that would facilitate implementation of this approach, we conducted a scoping review examining communication and enactment of care plans for older adults with life-limiting illnesses across health, social and community sectors. We used a scoping review methodology to map the current literature on communication plans between primary care and other sectors (community, health, and social). Five databases were searched MEDLINE (ovid), CINAHL (EBSCO), EMBASE (Elsevier), PsychInfo (EBSCO), and Scopus. The database search identified 5,289 records, after screening and hand-searching a total of 28 articles were extracted. Three major themes were determined through the records: (1) the importance of professional relationships across sectors, (2) the importance of community navigators in sharing the care plan, and (3) and creating comprehensive and multidisciplinary care plans. Findings suggested that enacting quality care plans is important to healthcare providers; the use of an electronic health records system can be useful in ensuring that all healthcare and community systems are in place to aid patients for better community-based care. Community navigators were also key to ensure that plans are communicated properly and efficiently. Further research is needed to determine how having a clear and properly implemented communication system for a healthcare system could facilitate community sector involvement in implementing care plans.
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Affiliation(s)
- Jodi Langley
- Faculty of Health, Dalhousie University, 5968 College Street, Halifax, NS B3H 4R2, Canada
| | - Nikolas Jelicic
- School of Health and Human Performance, Dalhousie University, Halifax, NS, Canada
| | - Taylor G. Hill
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada
- Healthy Populations Institute, Dalhousie University, Halifax, NS, Canada
| | - Emily Kervin
- Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Barbara Pesut
- Faculty of Nursing, The University of British Columbia, Kelowna, BC, Canada
| | - Wendy Duggleby
- School of Nursing, University of Alberta, Edmonton, AB, Canada
| | - Grace Warner
- School of Occupational Therapy, Dalhousie University, Halifax, NS, Canada
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The disruptive radiologist. Clin Imaging 2022; 87:5-10. [DOI: 10.1016/j.clinimag.2022.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 04/04/2022] [Accepted: 04/05/2022] [Indexed: 11/23/2022]
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Takeshita K, Takao H, Imoto S, Murayama Y. Improvement of the Japanese healthcare data system for the effective management of patients with COVID-19: A national survey. Int J Med Inform 2022; 162:104752. [PMID: 35390591 PMCID: PMC8944184 DOI: 10.1016/j.ijmedinf.2022.104752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/11/2022] [Accepted: 03/21/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The burden of data entry in public platforms used for reporting patients with novel coronavirus disease 2019 (COVID-19) is a challenge in the healthcare setting. The key to mitigating the burden of data entry is system integration and elimination of double data entry. In addition, the linkage between public platforms and electronic medical records (EMRs) involves external networks, which are an important target for security management. The purpose of this study was to elucidate the status and challenges of infrastructure for continuous data reporting from hospitals in Japan. MATERIALS AND METHODS An online survey of Japanese care delivery institutions was conducted from January 25 to February 22, 2021, to obtain data on the admission of patients with COVID-19, use of information infrastructures, and status of network connections with external organizations. The survey request was distributed to each care delivery institution by Japanese health authorities. RESULTS Of the care delivery institutions that responded to the survey, 53.9% treated patients with COVID-19. Of these institutions, 73.3% used EMRs. 57.8% of the EMRs were connected to an external network. The purpose of connecting to the external network was to contribute to regional health information-sharing with other hospitals (22.0%), report online medical insurance claims (27.5%), and conduct intrahospital system maintenance (61.5%). A frequent concern about connecting an EMR to an external network was data leakage. DISCUSSION In cases where the frequency of reporting patients with COVID-19 is high, health authorities should provide information regarding anti-data-leakage measures and coordinate frameworks for efficient, sustainable data collection. CONCLUSIONS We obtained information on existing infrastructures for patient data sharing among care delivery institutions and public health authorities. Our findings may be referenced by the government to make informed decisions about investments.
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Affiliation(s)
- Kohei Takeshita
- Division of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan.
| | - Hiroyuki Takao
- Division of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan; Department of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan.
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
| | - Yuichi Murayama
- Division of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan; Department of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan.
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45
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Okpechi IG, Muneer S, Ye F, Zaidi D, Ghimire A, Tinwala MM, Saad S, Osman MA, Lunyera J, Tonelli M, Caskey F, George C, Kengne AP, Malik C, Damster S, Levin A, Johnson D, Jha V, Bello AK. Global eHealth capacity: secondary analysis of WHO data on eHealth and implications for kidney care delivery in low-resource settings. BMJ Open 2022; 12:e055658. [PMID: 35321893 PMCID: PMC8943769 DOI: 10.1136/bmjopen-2021-055658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE To describe the use of electronic health (eHealth) in support of health coverage for kidney care across International Society of Nephrology (ISN) regions. DESIGN Secondary analysis of WHO survey on eHealth as well as use of data from the World Bank, and Internet World Stats on global eHealth services. SETTING A web-based survey on the use of eHealth in support of universal health coverage. PARTICIPANTS 125 WHO member states provided response. PRIMARY OUTCOME MEASURES Availability of eHealth services (eg, electronic health records, telehealth, etc) and governance frameworks (policies) for kidney care across ISN regions. RESULTS The survey conducted by the WHO received responses from 125 (64.4%) member states, representing 4.4 billion people globally. The number of mobile cellular subscriptions was <100% of the population in Africa, South Asia, North America and North East Asia; the percentage of internet users increased from 2015 to 2020 in all regions. Western Europe had the highest percentage of internet users in all the periods: 2015 (82.0%), 2019 (90.7%) and 2020 (93.9%); Africa had the least: 9.8%, 21.8% and 31.4%, respectively. The North East Asia region had the highest availability of national electronic health record system (75%) and electronic learning access in medical schools (100%), with the lowest in Africa (27% and 39%, respectively). Policies concerning governance aspects of eHealth (eg, privacy, liability, data sharing) were more widely available in high-income countries (55%-93%) than in low-income countries (0%-47%), while access to mobile health for treatment adherence was more available in low-income countries (21%) than in high-income countries (7%). CONCLUSION The penetration of eHealth services across ISN regions is suboptimal, particularly in low-income countries. Increasing utilisation of internet communication technologies provides an opportunity to improve access to kidney education and care globally, especially in low-income countries.
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Affiliation(s)
- Ikechi G Okpechi
- Medicine, University of Cape Town, Cape Town, South Africa
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Shezel Muneer
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Feng Ye
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Deenaz Zaidi
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Anukul Ghimire
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Mohammed M Tinwala
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Syed Saad
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Mohamed A Osman
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Joseph Lunyera
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Marcello Tonelli
- Department of Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Fergus Caskey
- Department of Medicine, University of Bristol Faculty of Medicine and Dentistry, Bristol, UK
| | - Cindy George
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Tygerberg, South Africa
| | - Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Tygerberg, South Africa
| | - Charu Malik
- Administration, International Society of Nephrology, Brussels, Belgium
| | - Sandrine Damster
- Administration, International Society of Nephrology, Brussels, Belgium
| | - Adeera Levin
- Division of Nephrology, University of British Columbia, Vancouver, British Columbia, Canada
| | - David Johnson
- Department of Medicine, The University of Queensland Faculty of Medicine and Biomedical Sciences, Herston, Queensland, Australia
| | - Vivekanand Jha
- Department of Medicine, The George Institute for Global Health India, New Delhi, Delhi, India
| | - Aminu K Bello
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
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Ebnehoseini Z, Tabesh H, Deghatipour A, Tara M. Development an extended-information success system model (ISSM) based on nurses' point of view for hospital EHRs: a combined framework and questionnaire. BMC Med Inform Decis Mak 2022; 22:71. [PMID: 35317784 PMCID: PMC8939199 DOI: 10.1186/s12911-022-01800-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 03/04/2022] [Indexed: 11/27/2022] Open
Abstract
Background Understanding the hospital EHR success rate has great benefits for hospitals. The present study aimed to 1-Propose an extended-ISSM framework and a questionnaire in a systematic manner for EHR evaluation based on nurses’ perspectives, 2-Determine the EHR success rate, and 3-Explore the effective factors contributing to EHR success. Methods The proposed framework was developed using ISSM, TAM3, TTF, HOT-FIT, and literature review in seven steps. A self-administrated structured 65-items questionnaire was developed with CVI: 90.27% and CVR: 94.34%. Construct validity was conducted using EFA and CFA. Eleven factors were identified, collectively accounting for 71.4% of the total variance. In the EFA step, 15 questions and two questions in EFA were excluded. Finally, 48 items remained in the framework including dimensions of technology, human, organization, ease of use, usefulness, and net benefits. The overall Cronbach’s alpha value was 93.4%. In addition, the hospital EHR success rate was determined and categorized. In addition, effective factors on EHR success were explored. Results In total, 86 nurses participated in the study. On average, the “total hospital EHR success rate” was moderate. The total EHR success rates was ranging from 47.09 to 74.96%. The results of the Kruskal–Wallis test showed that there was a significant relationship between “gender” and “self-efficacy” (p-value: 0.042). A reverse relation between “years of experience using computers” and “training” (p-value: 0.012) was observed. “Years of experience using EHR” as well as “education level” (p-value: 0.001) and “ease of use” had a reverse relationship (p-value: 0.034). Conclusions Our findings underscore the EHR success based on nurses’ viewpoint in a developing country. Our results provide an instrument for comparison of EHR success rates in various hospitals. Supplementary Information The online version contains supplementary material available at 10.1186/s12911-022-01800-1.
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Affiliation(s)
- Zahra Ebnehoseini
- Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hamed Tabesh
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amir Deghatipour
- Ibn-Sina Hospital, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahmood Tara
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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Electronic health record (EHR) simulation into biomedical informatics course improves students’ understanding of the impact of EHR documentation burden and usability on clinical workflow. HEALTH AND TECHNOLOGY 2022. [DOI: 10.1007/s12553-022-00649-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Tran DM, Thwaites CL, Van Nuil JI, McKnight J, Luu AP, Paton C. Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review. J Med Internet Res 2022; 24:e32392. [PMID: 35138264 PMCID: PMC8867296 DOI: 10.2196/32392] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/23/2021] [Accepted: 10/21/2021] [Indexed: 01/22/2023] Open
Abstract
Background There are a host of emergent technologies with the potential to improve hospital care in low- and middle-income countries such as Vietnam. Wearable monitors and artificial intelligence–based decision support systems could be integrated with hospital-based digital health systems such as electronic health records (EHRs) to provide higher level care at a relatively low cost. However, the appropriate and sustainable application of these innovations in low- and middle-income countries requires an understanding of the local government’s requirements and regulations such as technology specifications, cybersecurity, data-sharing protocols, and interoperability. Objective This scoping review aims to explore the current state of digital health research and the policies that govern the adoption of digital health systems in Vietnamese hospitals. Methods We conducted a scoping review using a modification of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. PubMed and Web of Science were searched for academic publications, and Thư Viện Pháp Luật, a proprietary database of Vietnamese government documents, and the Vietnam Electronic Health Administration website were searched for government documents. Google Scholar and Google Search were used for snowballing searches. The sources were assessed against predefined eligibility criteria through title, abstract, and full-text screening. Relevant information from the included sources was charted and summarized. The review process was primarily undertaken by one researcher and reviewed by another researcher during each step. Results In total, 11 academic publications and 20 government documents were included in this review. Among the academic studies, 5 reported engineering solutions for information systems in hospitals, 2 assessed readiness for EHR implementation, 1 tested physicians’ performance before and after using clinical decision support software, 1 reported a national laboratory information management system, and 2 reviewed the health system’s capability to implement eHealth and artificial intelligence. Of the 20 government documents, 19 were promulgated from 2013 to 2020. These regulations and guidance cover a wide range of digital health domains, including hospital information management systems, general and interoperability standards, cybersecurity in health organizations, conditions for the provision of health information technology (HIT), electronic health insurance claims, laboratory information systems, HIT maturity, digital health strategies, electronic medical records, EHRs, and eHealth architectural frameworks. Conclusions Research about hospital-based digital health systems in Vietnam is very limited, particularly implementation studies. Government regulations and guidance for HIT in health care organizations have been released with increasing frequency since 2013, targeting a variety of information systems such as electronic medical records, EHRs, and laboratory information systems. In general, these policies were focused on the basic specifications and standards that digital health systems need to meet. More research is needed in the future to guide the implementation of digital health care systems in the Vietnam hospital setting.
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Affiliation(s)
- Duc Minh Tran
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - C Louise Thwaites
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - Jennifer Ilo Van Nuil
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - Jacob McKnight
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - An Phuoc Luu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Chris Paton
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,Department of Information Science, University of Otago, Otago, New Zealand
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Woodcock EW. Barriers to and Facilitators of Automated Patient Self-scheduling for Health Care Organizations: Scoping Review. J Med Internet Res 2022; 24:e28323. [PMID: 35014968 PMCID: PMC8790681 DOI: 10.2196/28323] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/25/2021] [Accepted: 11/26/2021] [Indexed: 01/26/2023] Open
Abstract
Background Appointment management in the outpatient setting is important for health care organizations, as waits and delays lead to poor outcomes. Automated patient self-scheduling of outpatient appointments has demonstrable advantages in the form of patients’ arrival rates, labor savings, patient satisfaction, and more. Despite evidence of the potential benefits of self-scheduling, the organizational uptake of self-scheduling in health care has been limited. Objective The objective of this scoping review is to identify and to catalog existing evidence of the barriers to and facilitators of self-scheduling for health care organizations. Methods A scoping review was conducted by searching 4 databases (PubMed, CINAHL, Business Source Ultimate, and Scopus) and systematically reviewing peer-reviewed studies. The Consolidated Framework for Implementation Research was used to catalog the studies. Results In total, 30 full-text articles were included in this review. The results demonstrated that self-scheduling initiatives have increased over time, indicating the broadening appeal of self-scheduling. The body of literature regarding intervention characteristics is appreciable. Outer setting factors, including national policy, competition, and the response to patients’ needs and technology access, have played an increasing role in influencing implementation over time. Self-scheduling, compared with using the telephone to schedule an appointment, was most often cited as a relative advantage. Scholarly pursuit lacked recommendations related to the framework’s inner setting, characteristics of individuals, and processes as determinants of implementation. Future discoveries regarding these Consolidated Framework for Implementation Research domains may help detect, categorize, and appreciate organizational-level barriers to and facilitators of self-scheduling to advance knowledge regarding this solution. Conclusions This scoping review cataloged evidence of the existence, advantages, and intervention characteristics of patient self-scheduling. Automated self-scheduling may offer a solution to health care organizations striving to positively affect access. Gaps in knowledge regarding the uptake of self-scheduling by health care organizations were identified to inform future research.
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Affiliation(s)
- Elizabeth W Woodcock
- Department of Health Policy & Management, Rollins School of Public Health, Emory University, Atlanta, GA, United States
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50
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Mukherjee SK, Olivieri DJ, Madhani SI, Bonfield CM, Mbabazi E, Arman DM, Dewan MC, Ekramullah SM. EMR adoption in Dhaka, Bangladesh: a template to index pediatric central nervous system tumor care and a review of preliminary neuro-oncologic observations. Childs Nerv Syst 2022; 38:1497-1504. [PMID: 35588333 PMCID: PMC9118804 DOI: 10.1007/s00381-022-05450-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 01/07/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To describe the design, implementation, and adoption of a simplified electronic medical record (EMR) and its use in documenting pediatric central nervous system (CNS) tumors at a tertiary care referral hospital in South-East Asia. METHODS A novel EMR, cataloguing pediatric CNS tumors was used to collect data from August 2017 to March 2020 at National Institute of Neurosciences and Hospital (NINS&H) in Dhaka, Bangladesh. RESULTS Two hundred forty-nine pediatric patients with a CNS tumor were admitted to NINS&H. Fifty-eight percent of patients were male, and the median age was 8 years. A total of 188/249 patients (76%) underwent surgery during their index admission. Radiographic locations were known for 212/249 (85%) of cases; the most common radiographic locations were infratentorial (81/212; 38%), suprasellar (45/212; 21%), and supratentorial (29/212; 14%). A histopathological classification was reported on 156/249 (63%) of patients' cytology. The most common infratentorial pathologies were medulloblastoma (22/47; 47%) and pilocytic astrocytoma (14/47; 30%). The median time between admission and surgery was 36 days, while the median post-operation stay was 19.5 days. CONCLUSIONS The feasibility of a basic EMR platform for a busy pediatric neurosurgery department in a lower-middle income country is demonstrated, and preliminary clinical data is reviewed. A wide variety of pediatric CNS tumors were observed, spanning the spectrum of anatomic locations and histopathologic subtypes. Surgical intervention was performed for the majority of patients. Barriers to care include limited molecular diagnostics and unavailable data on adjuvant therapy. Future targets include improvement of clinical documentation in the pre-operative and post-operative period.
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Affiliation(s)
- Sudipta Kumer Mukherjee
- grid.489064.7Department of Pediatric Neurosurgery, National Institute of Neurosciences and Hospital (NINS&H), Dhaka, Bangladesh
| | - Daniel J. Olivieri
- grid.40263.330000 0004 1936 9094Warren Alpert Medical School, Brown University, Providence, RI USA
| | - Sarosh Irfan Madhani
- grid.7147.50000 0001 0633 6224Department of Surgery, Aga Khan University, Karachi, Pakistan
| | - Christopher M. Bonfield
- grid.412807.80000 0004 1936 9916Division of Pediatric Neurosurgery, Vanderbilt University Medical Center, 2200 Children’s Way 9th Floor , Nashville, TN 37232 USA
| | - Edith Mbabazi
- grid.461319.8CURE Children’s Hospital of Uganda, Mbale, Uganda
| | - D. M. Arman
- grid.489064.7Department of Pediatric Neurosurgery, National Institute of Neurosciences and Hospital (NINS&H), Dhaka, Bangladesh
| | - Michael C. Dewan
- grid.412807.80000 0004 1936 9916Division of Pediatric Neurosurgery, Vanderbilt University Medical Center, 2200 Children’s Way 9th Floor , Nashville, TN 37232 USA
| | - Sheikh Muhammad Ekramullah
- grid.489064.7Department of Pediatric Neurosurgery, National Institute of Neurosciences and Hospital (NINS&H), Dhaka, Bangladesh
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