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Tokgöz P, Krayter S, Hafner J, Dockweiler C. Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation. BMC Med Inform Decis Mak 2024; 24:96. [PMID: 38622595 PMCID: PMC11020884 DOI: 10.1186/s12911-024-02490-7] [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: 10/22/2023] [Accepted: 03/25/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Inappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial resistance. Artificial intelligence-based decision support systems represent a potential solution for improving antimicrobial prescribing and containing antimicrobial resistance by supporting clinical decision-making thus optimizing antibiotic use and improving patient outcomes. OBJECTIVE The aim of this research was to examine implementation factors of artificial intelligence-based decision support systems for antibiotic prescription in hospitals from the perspective of the hospital managers, who have decision-making authority for the organization. METHODS An online survey was conducted between December 2022 and May 2023 with managers of German hospitals on factors for decision support system implementation. Survey responses were analyzed from 118 respondents through descriptive statistics. RESULTS Survey participants reported openness towards the use of artificial intelligence-based decision support systems for antibiotic prescription in hospitals but little self-perceived knowledge in this field. Artificial intelligence-based decision support systems appear to be a promising opportunity to improve quality of care and increase treatment safety. Along with the Human-Organization-Technology-fit model attitudes were presented. In particular, user-friendliness of the system and compatibility with existing technical structures are considered to be important for implementation. The uptake of decision support systems also depends on the ability of an organization to create a facilitating environment that helps to address the lack of user knowledge as well as trust in and skepticism towards these systems. This includes the training of user groups and support of the management level. Besides, it has been assessed to be important that potential users are open towards change and perceive an added value of the use of artificial intelligence-based decision support systems. CONCLUSION The survey has revealed the perspective of hospital managers on different factors that may help to address implementation challenges for artificial intelligence-based decision support systems in antibiotic prescribing. By combining factors of user perceptions about the systems´ perceived benefits with external factors of system design requirements and contextual conditions, the findings highlight the need for a holistic implementation framework of artificial intelligence-based decision support systems.
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Affiliation(s)
- Pinar Tokgöz
- School of Life Sciences, Department Digital Health Sciences and Biomedicine, Professorship of Digital Public Health, University of Siegen, 57068, Siegen, Germany.
| | - Stephan Krayter
- School of Life Sciences, Department Digital Health Sciences and Biomedicine, Professorship of Digital Public Health, University of Siegen, 57068, Siegen, Germany
| | - Jessica Hafner
- School of Life Sciences, Department Digital Health Sciences and Biomedicine, Professorship of Digital Public Health, University of Siegen, 57068, Siegen, Germany
| | - Christoph Dockweiler
- School of Life Sciences, Department Digital Health Sciences and Biomedicine, Professorship of Digital Public Health, University of Siegen, 57068, Siegen, Germany
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Garzón-Orjuela N, Parveen S, Amin D, Vornhagen H, Blake C, Vellinga A. The Effectiveness of Interactive Dashboards to Optimise Antibiotic Prescribing in Primary Care: A Systematic Review. Antibiotics (Basel) 2023; 12:antibiotics12010136. [PMID: 36671337 PMCID: PMC9854857 DOI: 10.3390/antibiotics12010136] [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: 12/05/2022] [Revised: 01/02/2023] [Accepted: 01/05/2023] [Indexed: 01/12/2023] Open
Abstract
Governments and healthcare organisations collect data on antibiotic prescribing (AP) for surveillance. This data can support tools for visualisations and feedback to GPs using dashboards that may prompt a change in prescribing behaviour. The objective of this systematic review was to assess the effectiveness of interactive dashboards to optimise AP in primary care. Six electronic databases were searched for relevant studies up to August 2022. A narrative synthesis of findings was conducted to evaluate the intervention processes and results. Two independent reviewers assessed the relevance, risk of bias and quality of the evidence. A total of ten studies were included (eight RCTs and two non-RCTs). Overall, seven studies showed a slight reduction in AP. However, this reduction in AP when offering a dashboard may not in itself result in reductions but only when combined with educational components, public commitment or behavioural strategies. Only one study recorded dashboard engagement and showed a difference of 10% (95% CI 5% to 15%) between intervention and control. None of the studies reported on the development, pilot or implementation of dashboards or the involvement of stakeholders in design and testing. Interactive dashboards may reduce AP in primary care but most likely only when combined with other educational or behavioural intervention strategies.
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Affiliation(s)
- Nathaly Garzón-Orjuela
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
- Correspondence:
| | - Sana Parveen
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Doaa Amin
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Heike Vornhagen
- Insight Centre for Data Analytics, University of Galway, H91 AEX4 Galway, Ireland
| | - Catherine Blake
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Akke Vellinga
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
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Wickström HL, Fagerström C, Öien RF, Anderberg P, Midlöv P. Antibiotic prescription using a digital decision support system: a register-based study of patients with hard-to-heal ulcers in Sweden. BMJ Open 2022; 12:e060683. [PMID: 36302578 PMCID: PMC9621189 DOI: 10.1136/bmjopen-2021-060683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES To investigate differences in antibiotic prescription for patients with hard-to-heal ulcers assessed using a digital decision support system (DDSS) compared with those assessed without using a DDSS. A further aim was to examine predictors for antibiotic prescription. DESIGN Register-based study. SETTING In 2018-2019, healthcare staff in primary, community and specialist care in Sweden tested a DDSS that offers a mobile application for data and photograph transfer to a platform for multidisciplinary consultation and automatic transmission of data to the Registry of Ulcer Treatment (RUT). Register-based data from patients assessed and diagnosed using the DDSS combined with the RUT was compared with register-based data from patients whose assessments were merely registered in the RUT. PARTICIPANTS A total of 117 patients assessed using the DDSS combined with the RUT (the study group) were compared with 1784 patients whose assessments were registered in the RUT without using the DDSS (the control group). PRIMARY AND SECONDARY OUTCOME MEASURES The differences in antibiotic prescription were analysed using the Pearson's χ2 test. A logistic regression analysis was used to check for influencing factors on antibiotic prescription. RESULTS Patients assessed using a DDSS in combination with the RUT had significantly lower antibiotic prescription than patients entered in the RUT without using the DDSS (8% vs 26%) (p=0.002) (only healed ulcers included). Predictors for antibiotic prescription were diabetes; long healing time; having an arterial, neuropathic or malignant ulcer. CONCLUSIONS A DDSS with data and photograph transfer that enables multidisciplinary communication appears to be a suitable tool to reduce antibiotic prescription for patients with hard-to-heal ulcers.
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Affiliation(s)
- Hanna Linnea Wickström
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Blekinge Wound Healing Centre, Region Blekinge, Karlshamn, Sweden
| | - Cecilia Fagerström
- Department of Health and Caring Sciences, Linnaeus University, Kalmar, Sweden
- Department of Research, Region Kalmar län, Kalmar, Sweden
| | - Rut Frank Öien
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Blekinge Centre of Competence, Region Blekinge, Karlskrona, Sweden
| | - Peter Anderberg
- Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden
- School of Health Sciences, University of Skövde, Skövde, Sweden
| | - Patrik Midlöv
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmö, Sweden
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eHealthResp, a Digital Intervention to Improve Antibiotic Prescribing in Respiratory Infections: A Pilot Study. LIFE (BASEL, SWITZERLAND) 2022; 12:life12081160. [PMID: 36013339 PMCID: PMC9410258 DOI: 10.3390/life12081160] [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: 07/14/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 11/17/2022]
Abstract
The emergence of antibiotic resistance (ABR) is one of the most serious public health threats worldwide. The inappropriate use of antibiotics is considered the main determinant for the increase and development of ABR, contributing to a greater risk of therapeutic ineffectiveness, particularly within primary care context. Therefore, this pilot study aims to raise awareness and promote an adequate antibiotic use among physicians, through the evaluation of the eHealthResp platform, a digital intervention composed by an online course and a mobile application, to aid in the management of respiratory tract infections. The global validation of the eHealthResp platform was carried out by 12 physicians who explored and performed a quantitative and qualitative evaluation of the contents of the online course and mobile app. The global evaluation of the analyzed parameters was very positive, with the highest median scores being attributed to adequacy, correction, format, and trust of the eHealthResp platform. The qualitative feedback enhanced the contents’ relevance, clarity, and consolidation, as well as the effectiveness of the educational intervention against ABR. Overall, this study revealed that the eHealthResp may be regarded as an important e-health tool for the management of respiratory tract infections and improvement of antibiotic prescription practices among physicians.
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Improving Pharmacists’ Awareness of Inadequate Antibiotic Use for URTIs through an Educational Intervention: A Pilot Study. Healthcare (Basel) 2022; 10:healthcare10081385. [PMID: 35893207 PMCID: PMC9394361 DOI: 10.3390/healthcare10081385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 11/16/2022] Open
Abstract
The inadequate use of antibiotics led to the development of multi-resistant bacteria that are now causing millions of deaths worldwide. Since most antibiotics are prescribed/dispensed to treat respiratory tract infections, it is important to raise awareness among health professionals to optimize antibiotic use, especially within the primary care context. Thus, this pilot study aimed to evaluate pharmacists’ feedback about the eHealthResp platform, composed by an online course and a mobile application (app) to help in the management of upper respiratory tract infections (URTIs). Ten community pharmacists were invited to participate in this study, exploring the contents of the eHealthResp platforms and answering a content validation questionnaire composed by eight qualitative and thirty-five quantitative questions about the online course and mobile app. The eHealthResp platform is a comprehensive, consistent, and high-quality e-learning tool. Median scores of 5.00 were attributed to the course contents’ and clinical cases’ adequacy and correction. Most qualitative feedback was about completeness and objectivity of the course, and its usefulness for clinical practice. This study showed that eHealthResp has great potential as an e-health tool for the management of URTIs’ symptoms, which may ultimately aid in reducing inappropriate antibiotic use.
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Clinical Decision Support Systems for Antibiotic Prescribing: An Inventory of Current French Language Tools. Antibiotics (Basel) 2022; 11:antibiotics11030384. [PMID: 35326847 PMCID: PMC8944435 DOI: 10.3390/antibiotics11030384] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/08/2022] [Accepted: 03/10/2022] [Indexed: 02/04/2023] Open
Abstract
Clinical decision support systems (CDSSs) are increasingly being used by clinicians to support antibiotic decision making in infection management. However, coexisting CDSSs often target different types of physicians, infectious situations, and patient profiles. The objective of this study was to perform an up-to-date inventory of French language CDSSs currently used in community and hospital settings for antimicrobial prescribing and to describe their main characteristics. A literature search, a search among smartphone application stores, and an open discussion with antimicrobial stewardship (AMS) experts were conducted in order to identify available French language CDSSs. Any clinical decision support tool that provides a personalized recommendation based on a clinical situation and/or a patient was included. Eleven CDSSs were identified through the search strategy. Of the 11 CDSSs, only 2 had been the subject of published studies, while 9 CDSSs were identified through smartphone application stores and expert knowledge. The majority of CDSSs were available free of charge (n = 8/11, 73%). Most CDSSs were accessible via smartphone applications (n = 9/11, 82%) and online websites (n = 8/11, 73%). Recommendations for antibiotic prescribing in urinary tract infections, upper and lower respiratory tract infections, and digestive tract infections were provided by over 90% of the CDSSs. More than 90% of the CDSSs displayed recommendations for antibiotic selection, prioritization, dosage, duration, route of administration, and alternative antibiotics in case of allergy. Information about antibiotic side effects, prescription recommendations for specific patient profiles and adaptation to local epidemiology were often missing or incomplete. There is a significant but heterogeneous offer for antibiotic prescribing decision support in French language. Standardized evaluation of these systems is needed to assess their impact on antimicrobial prescribing and antimicrobial resistance.
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Estrela M, Magalhães Silva T, Pisco Almeida AM, Regueira C, Zapata-Cachafeiro M, Figueiras A, Roque F, Herdeiro MT. A roadmap for the development and evaluation of the eHealthResp online course. Digit Health 2022; 8:20552076221089088. [PMID: 35360007 PMCID: PMC8961349 DOI: 10.1177/20552076221089088] [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: 10/14/2021] [Accepted: 03/06/2022] [Indexed: 11/29/2022] Open
Abstract
Background Inappropriate antibiotic use constitutes one of the most concerning public
health issues, being one of the main causes of antibiotic resistance. Hence,
to tackle this issue, it is important to encourage the development of
educational interventions for health practitioners, namely by using digital
health tools. This study focuses on the description of the development and
validation process of the eHealthResp online course, a web platform directed
to physicians and pharmacists, with the overall goal of improving antibiotic
use for respiratory tract infections, along with the assessment of its
usability. Methods The eHealthResp platform and the courses, developed with a user-centered
design and based on Wordpress and MySQL, were based on a previously
developed online course. A questionnaire to assess the usability was
distributed among physicians (n = 6) and pharmacists (n = 6). Based on the
obtained results, statistical analyses were conducted to calculate the
usability score and appraise the design of the online course, as well as to
compare the overall scores attributed by both groups. Further qualitative
comments provided by the participants have also been analyzed. Results The eHealthResp contains two online courses directed to physicians and
pharmacists aiming to aid in the management of respiratory tract infections.
The average usability score of the eHealthResp online courses for physicians
and pharmacists was of 78.33 (±11.57, 95%CI), and 83.75 (±15.90, 95%CI),
respectively. Qualitative feedback emphasized the usefulness of the course,
including overall positive reviews regarding user-friendliness and
consistency. Conclusions This study led us to conclude that the eHealthResp online course is not
recognized as a complex web platform, as both qualitative and quantitative
feedback obtained were globally positive.
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Affiliation(s)
- Marta Estrela
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Tânia Magalhães Silva
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | | | - Carlos Regueira
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health - CIBERESP), Santiago de Compostela, Spain
| | - Maruxa Zapata-Cachafeiro
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health - CIBERESP), Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela (IDIS), University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Adolfo Figueiras
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health - CIBERESP), Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela (IDIS), University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Fátima Roque
- Research Unit for Inland Development, Guarda Polytechnic Institute (UDI-IPG), Guarda, Portugal.,Health Sciences Research Center, University of Beira Interior (CICS-UBI), Covilhã, Portugal
| | - Maria Teresa Herdeiro
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
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Kwan RYC, Lam SC, Wang SL, Wong AKC, Shi L, Wong FKY. Perception of E-health Technology Scale in Chinese Brief (PETS-C Brief): Translation, item reduction, and psychometric testing. Digit Health 2022; 8:20552076221126055. [PMID: 36159156 PMCID: PMC9500267 DOI: 10.1177/20552076221126055] [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: 07/31/2022] [Accepted: 08/25/2022] [Indexed: 11/20/2022] Open
Abstract
Introduction Perception of e-health is a broad concept involving many aspects of values and thoughts related to e-health. It is an important precursor to using e-health technologies to promote health. The purpose of this study is to validate an instrument for measuring perceptions of e-health technology among healthcare professionals. Methods This methodological study was conducted in China. We based on an existing instrument to develop a new instrument (i.e. PETS-C Brief). In phase 1, we modified and translated the existing instrument into Chinese. Subsequently, we employed the modified and translated instrument to conduct a cross-sectional survey. In phase 2, we randomly selected data from 400 participants to run an exploratory factor analysis and item analysis to reduce the number of items and develop factors. In phase 3, we employed the data from the remaining participants to run a confirmatory factor analysis to confirm the instrument structure. Results In phase 1, the modified and translated instrument showed good content and face validities (S-CVI = 0.96, mean comprehensibility = 93.5%). 1338 participants completed the survey. In phase 2, the number of items was reduced from 40 to 19, which demonstrated a 4-factor model. In phase 3, the goodness-of-fit of the 4-factor PETS-C Brief was shown to be acceptable (χ2/d.f. = 6.40, CFI = 0.93, RMR = 0.40, NFI = 0.92, RMSEA = 0.076, IFI = 0.93). Discussion This study suggests using this instrument to survey perceptions of e-health technology in Chinese people. Future studies should examine its other important psychometric properties, including convergent/discriminant and predictive validity on behaviors using e-health technology.
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Affiliation(s)
| | | | - Shao Ling Wang
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | | | - Lei Shi
- School of Nursing, Southern Medical University, Hong Kong SAR, China
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Rodrigues AT, Nunes JCF, Estrela M, Figueiras A, Roque F, Herdeiro MT. Comparing Hospital and Primary Care Physicians' Attitudes and Knowledge Regarding Antibiotic Prescribing: A Survey within the Centre Region of Portugal. Antibiotics (Basel) 2021; 10:antibiotics10060629. [PMID: 34070337 PMCID: PMC8229910 DOI: 10.3390/antibiotics10060629] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/14/2021] [Accepted: 05/23/2021] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Antibiotic resistance is a worldwide public health problem, leading to longer hospital stays, raising medical costs and mortality levels. As physicians' attitudes are key factors to antibiotic prescribing, this study sought to explore their differences between primary care and hospital settings. METHODS A survey was conducted between September 2011 and February 2012 in the center region of Portugal in the form of a questionnaire to compare hospital (n = 154) and primary care (n = 421) physicians' attitudes and knowledge regarding antibiotic prescribing. RESULTS More than 70% of the attitudes were statistically different (p < 0.05) between hospital physicians (HPs) and primary care physicians (PCPs). When compared to PCPs, HPs showed higher agreement with antibiotic resistances being a public health problem and ascribed more importance to microbiological tests and to the influence of prescription on the development of resistances. On the other hand, PCPs tended to agree more regarding the negative impact of self-medication with antibiotics dispensed without medical prescription and the need for rapid diagnostic tests. Seven out of nine sources of knowledge's usefulness were statistically different between both settings, with HPs considering most of the knowledge sources to be more useful than PCPs. CONCLUSIONS Besides the efforts made to improve both antibiotic prescribing and use, there are differences in the opinions between physicians working in different settings that might impact the quality of antibiotic prescribing. In the future, these differences must be considered to develop more appropriate interventions.
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Affiliation(s)
- António Teixeira Rodrigues
- Department of Medical Sciences, iBiMED—Institute of Biomedicine, University of Aveiro, 3800 Aveiro, Portugal; (A.T.R.); (M.E.); (M.T.H.)
- Centre for Health Evaluation and Research (CEFAR), National Association of Pharmacies, 1249 Lisbon, Portugal
| | - João C. F. Nunes
- Department of Chemistry, CICECO—Aveiro Institute of Materials, University of Aveiro, 3800 Aveiro, Portugal;
| | - Marta Estrela
- Department of Medical Sciences, iBiMED—Institute of Biomedicine, University of Aveiro, 3800 Aveiro, Portugal; (A.T.R.); (M.E.); (M.T.H.)
| | - Adolfo Figueiras
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain;
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health—CIBERESP), 28001 Madrid, Spain
- Health Research Institute of Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain
| | - Fátima Roque
- Research Unit for Inland Development, Polytechnic of Guarda (IPG-UDI), 6300 Guarda, Portugal
- Health Sciences Research Centre, University of Beira Interior (CICS-UBI), 6200 Covilhã, Portugal
- Correspondence:
| | - Maria Teresa Herdeiro
- Department of Medical Sciences, iBiMED—Institute of Biomedicine, University of Aveiro, 3800 Aveiro, Portugal; (A.T.R.); (M.E.); (M.T.H.)
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Estrela M, Roque F, Silva TM, Zapata-Cachafeiro M, Figueiras A, Herdeiro MT. Validation of the eHealthResp online course for pharmacists and physicians: A Delphi method approach. Biomed Pharmacother 2021; 140:111739. [PMID: 34020245 DOI: 10.1016/j.biopha.2021.111739] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/07/2021] [Accepted: 05/11/2021] [Indexed: 11/30/2022] Open
Abstract
FRAMEWORK The inappropriate use of antibiotics for respiratory tract infections is dispersed worldwide, thus being a strong contributor to antibiotic resistances. As the use of educational interventions among health practitioners is shown to have an impact on judicious antibiotic use, an online course (eHealthResp) has been developed, especially targeted to pharmacists and physicians. Thus, the main goal of this study is to validate the contents of the online course eHealthResp. METHODS This two-round Delphi study involved the recruitment of a multidisciplinary panel (n = 19), to which the questionnaires of the first round were sent. After the first round, a report summing up the results has been forwarded to the panel, along with a new, reformulated version of the questionnaire. RESULTS After the two rounds of the Delphi process, consensus was evaluated. Six clinical cases and fifty-one treatments obtained minor consensus [60-75%] or full consensus (≥75%). The question on antibiotic practice has obtained a consensus >90% on both rounds. CONCLUSIONS The validation of the contents based on experts' consensus has been an essential approach to improve eHealthResp's online course, as valuable feedback has been provided by the panel on both rounds.
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Affiliation(s)
- Marta Estrela
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
| | - Fátima Roque
- Research Unit for Inland Development, Guarda Polytechnic Institute (UDI-IPG), Guarda, Portugal; Health Sciences Research Center, University of Beira Interior (CICS-UBI), Covilhã, Portugal
| | - Tânia Magalhães Silva
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Maruxa Zapata-Cachafeiro
- Health Research Institute of Santiago de Compostela (IDIS), University of Santiago de Compostela, Spain; Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health - CIBERESP), Madrid, Spain
| | - Adolfo Figueiras
- Health Research Institute of Santiago de Compostela (IDIS), University of Santiago de Compostela, Spain; Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health - CIBERESP), Madrid, Spain
| | - Maria Teresa Herdeiro
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
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Carvalho É, Estrela M, Zapata-Cachafeiro M, Figueiras A, Roque F, Herdeiro MT. E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review. Antibiotics (Basel) 2020; 9:antibiotics9080505. [PMID: 32806583 PMCID: PMC7460242 DOI: 10.3390/antibiotics9080505] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/10/2020] [Accepted: 08/11/2020] [Indexed: 12/04/2022] Open
Abstract
(1) Background: e-Health tools, especially in the form of clinical decision support systems (CDSSs), have been emerging more quickly than ever before. The main objective of this systematic review is to assess the influence of these tools on antibiotic use for respiratory tract infections. (2) Methods: The scientific databases, MEDLINE-PubMed and EMBASE, were searched. The search was conducted by two independent researchers. The search strategy was mainly designed to identify relevant studies on the effectiveness of CDSSs in improving antibiotic use, as a primary outcome, and on the acceptability and usability of CDSSs, as a secondary outcome. (3) Results: After the selection, 22 articles were included. The outcomes were grouped either into antibiotics prescription practices or adherence to guidelines concerning antibiotics prescription. Overall, 15 out of the 22 studies had statistically significant outcomes related to the interventions. (4) Conclusions: Overall, the results show a positive impact on the prescription and conscientious use of antibiotics for respiratory tract infections, both with respect to patients and prescribing healthcare professionals. CDSSs have been shown to have great potential as powerful tools for improving both clinical care and patient outcomes.
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Affiliation(s)
- Érico Carvalho
- iBiMED–Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, 3800 Aveiro, Portugal; (É.C.); (M.E.)
| | - Marta Estrela
- iBiMED–Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, 3800 Aveiro, Portugal; (É.C.); (M.E.)
| | - Maruxa Zapata-Cachafeiro
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain; (M.Z.-C.); (A.F.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health-CIBERESP), 28001 Madrid, Spain
| | - Adolfo Figueiras
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain; (M.Z.-C.); (A.F.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health-CIBERESP), 28001 Madrid, Spain
- Health Research Institute of Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain
| | - Fátima Roque
- Research Unit for Inland Development-Polytechnic of Guarda (UDI-IPG), 6300 Guarda, Portugal;
- Health Sciences Research Centre, University of Beira Interior (CICS-UBI), 6200 Covilhã, Portugal
| | - Maria Teresa Herdeiro
- iBiMED–Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, 3800 Aveiro, Portugal; (É.C.); (M.E.)
- Correspondence:
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