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Singh G, Corlin L, Beninger PR, Neumann PJ, Boumil MM, Mehta S, Salem DN. Attitudes on Equal Health Care Access versus Efficient Clinical Decisions across a Not-for-Profit Health Care System. Med Decis Making 2024; 44:18-27. [PMID: 37876181 DOI: 10.1177/0272989x231206750] [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: 10/26/2023]
Abstract
BACKGROUND Professional roles within a hospital system may influence attitudes behind clinical decisions. OBJECTIVE To determine participants' preferences about clinical decisions that either value equal health care access or efficiency. DESIGN Deidentified survey asking participants to choose between offering a low-cost screening test to a whole population ("equal access") or a more sensitive, expensive test that could be given to only half of the population but resulting in 10% more avoided deaths ("efficient"). Data collection took place from August 18, 2021, to January 24, 2022. Study 1644 was determined to be exempt by Tufts Health Sciences Institutional Review Board (IRB). SETTING Tufts Medicine Healthcare System. PARTICIPANTS Approximately 15,000 hospital employees received an e-mail from the Tufts Medicine Senior Vice President of Academic Integration. MEASUREMENTS Analysis of survey responses with chi-square and 1-sample t tests to determine the proportion who chose each option. Logistic regression models fit to examine relationships between professional role and test choice. RESULTS A total of 1,346 participants completed the survey (∼9.0% response rate). Overall, approximately equal percentages of respondents chose the "equal access" (48%) and "efficient" option (52%). However, gender, professional role (categorical), and clinical role (dichotomous) were significantly associated with test choice. For example, among those in nonclinical roles, women were more likely than men to choose equal health care access. In multivariable analyses, having clinical roles was significantly associated with 1.73 times the likelihood of choosing equal access (95% confidence interval = 1.33-2.25). LIMITATIONS Generalizability concerns and survey question wording limit the study results. CONCLUSION Clinicians were more likely than nonclinicians to choose the equal health care access option, and health care administrators were more likely to choose efficiency. These differing attitudes can affect patient care and health care quality. HIGHLIGHTS Divergent preferences of valuing equal health care access and efficiency may be in conflict during clinical decision making.In this cross-sectional study that included 1,346 participants, approximately equal percentages of respondents chose the "equal access" (48%) and "efficient" option (52%), a nonsignificant difference. However, gender, professional role (categorical), and clinical role (dichotomous) were significantly associated with test choiceSince clinicians were more likely than nonclinicians to choose the equal health care access option and health care administrators were more likely to choose efficiency, these differing attitudes can affect patient care and health care quality.
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Affiliation(s)
- Ganeev Singh
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, USA
| | - Paul R Beninger
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
| | - Peter J Neumann
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Marcia M Boumil
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
| | - Shreya Mehta
- Tufts University School of Medicine, Boston, MA, USA
| | - Deeb N Salem
- Division of Cardiology, Department of Medicine, Tufts Medical Center, Boston, MA, USA
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Liu C, Liu W, Jiao M, Li Y, Zhang G, Wei L, Zhou S, Li Y, Sha Z, Hao Y, Wu Q. A combined behavioural economics- and simulation-based medical education to promote effectiveness among medical residents in coping with workplace violence in Northern China: a quasi-experimental study. BMC Public Health 2022; 22:1090. [PMID: 35650559 PMCID: PMC9156828 DOI: 10.1186/s12889-022-13497-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 05/18/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Workplace violence is internationally recognised as a major concern for the workforce, which entails serious consequences, and research shows that medical residents are more likely than other doctors to experience violence in the workplace. This study first examines the effectiveness of simulation-based medical education, and then simulation-based medical education combined with behavioural economics as interventions in medical residents' perception of, attitude toward, and self-efficacy in coping with violence in the workplace. METHODS A quasi-experimental design was used, 190 participants were randomised into three study groups to respectively test the effect of simulation-based medical education only and simulation-based medical education plus behavioural economics interventions, compared with a control group. Data were obtained from structured questionnaires, including (1) a perception of aggression scale, a management of aggression and violence attitude scale, a general self-efficacy scale, and (2) socio-demographic characteristics. RESULTS The results show that the scores attained by simulation-based medical education (SBME) and simulation-based medical education combined with behavioural economics (SBME + BE) interventions for perception, attitude, and self-efficacy were significantly higher than those in the control group (p < .01). The SBME + BE group recorded a greater improvement in perception, which could be ascribed to the behavioural economics effect. Furthermore, the higher perception of workplace violence is correlated with single residents and those with more work experience, prior experiences of violence in the workplace, and training related to workplace violence. A higher positive correlation of workplace violence was recorded by female and widowed residents,and a higher level of self-efficacy related to violence in the workplace correlated with male, widowed,and senior (third-year) residents. CONCLUSIONS This study contributes important evidence regarding changes in the perception, attitude, and self-efficacy of subjects following both the SBME + BE and SBME interventions among medical residents in coping with workplace violence, the biggest perception change having been recorded after the SBME + BE intervention, which can be explained by the inclusion of behavioural economics.
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Affiliation(s)
- Chao Liu
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Weijing Liu
- Department of Internal Medicine, Heilongjiang Academy of Chinese Medicine Science, Harbin, 150081 China
| | - Mingli Jiao
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Ye Li
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Gangyu Zhang
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Lifeng Wei
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Shuang Zhou
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Yuanheng Li
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Zhuowa Sha
- Department of Health, Policy and Hospital Management, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Yanhua Hao
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, 150081 China
| | - Qunhong Wu
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, 150081 China
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Sun J, Zhou X, Zhang J, Xiang K, Zhang X, Li L. A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty. BMC Med Inform Decis Mak 2022; 22:124. [PMID: 35524307 PMCID: PMC9073827 DOI: 10.1186/s12911-022-01867-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 04/20/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND An emergency response to a medical situation is generally considered to be a risk decision-making problem. When an emergency event occurs, it makes sense to take into account more than one decision maker's opinions and psychological behaviors. The existing research tends to ignore these multidimensional aspects. To fill this literature gap, we propose a multi-attribute model. METHODS The model is based on cumulative prospect theory (CPT), considering multiple experts' psychological factors. By not assuming full rationality, we extend existing models to allow multiple experts' risk preferences to be incorporated into the decision-making process in the case of an emergency. Then, traditional CPT is extended by allowing for multiple attributes. In addition, rather than using crisp data, interval values are adopted to tackle the usual uncertainties in reality. RESULTS The multi-attribute CPT based model proposed can deal with the selection of potential emergency alternatives. The model incorporates interval values to allow more uncertainty and the comparative studies show that the optimal solution changes under different scenarios. CONCLUSIONS Our illustrative example and comparative study show that considering multiple experts and multiple attributes is more reasonable, especially in complicated situations under an emergency. In addition, decision-makers' risk preferences highly affect the selection outcomes, highlighting their importance in the medical decision-making process. Our proposed model can be applied to similar fields with appropriate modifications.
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Affiliation(s)
- Jiayi Sun
- School of Health Sciences, Jiangsu Food & Pharmaceutical Science College, Huai’an, Jiangsu China
| | - Xiang Zhou
- Department of Rehabilitation, Huai’an Second People’s Hospital, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu China
| | - Juan Zhang
- Department of Rehabilitation, Huai’an Second People’s Hospital, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu China
| | - Kemei Xiang
- Department of Rehabilitation, Huai’an Second People’s Hospital, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu China
| | - Xiaoxiong Zhang
- The Sixty-Third Research Institute, National University of Defense Technology, Nanjing, Jiangsu China
| | - Ling Li
- Department of Dermatological, Lianshui County People’s Hospital, Affiliated Hospital of Kangda College, Nanjing Medical University, Huai’an, Jiangsu China
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4
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Marchese AL, Fine AM, Levy JA, Monuteaux MC, Michelson KA. Physician Risk Perception and Testing Behaviors for Children With Fever. Pediatr Emerg Care 2022; 38:e805-e810. [PMID: 35100780 PMCID: PMC9340816 DOI: 10.1097/pec.0000000000002413] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Risk tolerance and risk perceptions may impact clinicians' decisions to obtain diagnostic tests. We sought to determine whether physician risk perception was associated with the decision to obtain blood or imaging tests among children who present to the emergency department with fever. METHODS We conducted a retrospective, cross-sectional study in the Boston Children's Hospital emergency department. We included children aged 6 months to 18 years from May 1, 2014 to April 30, 2019, with fever. Our primary outcome was diagnostic testing: obtaining a blood and/or imaging test. We assessed risk perception using 3 scales: the Risk Tolerance Scale (RTS), Stress From Uncertainty Scale (SUS), and Malpractice Fear Scale (MFS). A z score was assigned to each physician for each scale. Mixed-effects logistic regression assessed the association between physician risk perception and blood or imaging testing. We also examined the relationship between each risk perception scale and several secondary outcomes: blood testing, urine testing, diagnostic imaging, specialist consultation, hospitalization, and revisit within 72 hours. RESULTS The response rate was 55/56 (98%). We analyzed 12,527 encounters. Blood/imaging testing varied between physicians (median, 48%; interquartile range, 41%-53%; range, 30%-71%). Risk Tolerance Scale responses were not associated with blood/imaging testing (odds ratio [OR], 1.03 per SD of increased risk perception; 95% confidence interval [CI], 0.95-1.13). Stress From Uncertainty Scale responses were not associated with blood/imaging testing (OR, 1.04 per SD; 95% CI, 0.95-1.14). Malpractice Fear Scale responses were not associated with blood/imaging testing (OR, 1.00 per SD; 95% CI, 0.91-1.09). There was no significant association between RTS, MFS, or SUS and any secondary outcome, except that there was a weak association between SUS and specialist consultation (OR, 1.12; 95% CI, 1.00-1.24). CONCLUSIONS Across 55 pediatric emergency physicians with variable testing practices, there was no association between risk perception and blood/imaging testing in febrile children.
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Affiliation(s)
- Ashley L Marchese
- From the Division of Emergency Medicine, Boston Children's Hospital, Boston, MA
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Baungaard N, Skovvang PL, Assing Hvidt E, Gerbild H, Kirstine Andersen M, Lykkegaard J. How defensive medicine is defined in European medical literature: a systematic review. BMJ Open 2022; 12:e057169. [PMID: 35058268 PMCID: PMC8783809 DOI: 10.1136/bmjopen-2021-057169] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES Defensive medicine has originally been defined as motivated by fear of malpractice litigation. However, the term is frequently used in Europe where most countries have a no-fault malpractice system. The objectives of this systematic review were to explore the definition of the term 'defensive medicine' in European original medical literature and to identify the motives stated therein. DESIGN Systematic review. DATA SOURCES PubMed, Embase and Cochrane, 3 February 2020, with an updated search on 6 March 2021. METHODS Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we reviewed all European original peer-reviewed studies fully or partially investigating 'defensive medicine'. RESULTS We identified a total of 50 studies. First, we divided these into two categories: the first category consisting of studies defining defensive medicine by using a narrow definition and the second category comprising studies in which defensive medicine was defined using a broad definition. In 23 of the studies(46%), defensive medicine was defined narrowly as: health professionals' deviation from sound medical practice motivated by a wish to reduce exposure to malpractice litigation. In 27 studies (54%), a broad definition was applied adding … or other self-protective motives. These self-protective motives, different from fear of malpractice litigation, were grouped into four categories: fear of patient dissatisfaction, fear of overlooking a severe diagnosis, fear of negative publicity and unconscious defensive medicine. Studies applying the narrow and broad definitions of defensive medicine did not differ regarding publication year, country, medical specialty, research quality or number of citations. CONCLUSIONS In European research, the narrow definition of defensive medicine as exclusively motivated by fear of litigation is often broadened to include other self-protective motives. In order to compare results pertaining to defensive medicine across countries, future studies are recommended to specify whether they are using the narrow or broad definition of defensive medicine. PROSPERO REGISTRATION NUMBER CRD42020167215.
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Affiliation(s)
- Nathalie Baungaard
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Pia Ladeby Skovvang
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Elisabeth Assing Hvidt
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department for the Study of Culture, University of Southern Denmark, Odense, Denmark
| | - Helle Gerbild
- Health Sciences Research Centre, UCL University College, Odense, Denmark
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Merethe Kirstine Andersen
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jesper Lykkegaard
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
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Reader TW, Dayal R, Brett SJ. At the end: A vignette-based investigation of strategies for managing end-of-life decisions in the intensive care unit. J Intensive Care Soc 2021; 22:305-311. [PMID: 35154368 PMCID: PMC8829767 DOI: 10.1177/1751143720954723] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Decision-making on end-of-life is an inevitable, yet highly complex, aspect of intensive care decision-making. End-of-life decisions can be challenging both in terms of clinical judgement and social interaction with families, and these two processes often become intertwined. This is especially apparent at times when clinicians are required to seek the views of surrogate decision makers (i.e., family members) when considering palliative care. METHODS Using a vignette-based interview methodology, we explored how interactions with family members influence end-of-life decisions by intensive care unit clinicians (n = 24), and identified strategies for reaching consensus with families during this highly emotional phase of care. RESULTS We found that the enactment of end-of-life decisions were reported as being affected by a form of loss aversion, whereby concerns over the consequences of not reaching a consensus with families weighed heavily in the minds of clinicians. Fear of conflict with families tended to arise from anticipated unrealistic family expectations of care, family normalization of patient incapacity, and belief systems that prohibit end-of-life decision-making. CONCLUSIONS To support decision makers in reaching consensus, various strategies for effective, coherent, and targeted communication (e.g., on patient deterioration and limits of clinical treatment) were suggested as ways to effectively consult with families on end-of-life decision-making.
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Affiliation(s)
- Tom W Reader
- Department of Psychological and Behavioural Science, London School of Economics, London, UK
| | - Ria Dayal
- Department of Psychological and Behavioural Science, London School of Economics, London, UK
| | - Stephen J Brett
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Imperial College, London, UK
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van Dulmen SA, Naaktgeboren CA, Heus P, Verkerk EW, Weenink J, Kool RB, Hooft L. Barriers and facilitators to reduce low-value care: a qualitative evidence synthesis. BMJ Open 2020; 10:e040025. [PMID: 33127636 PMCID: PMC7604848 DOI: 10.1136/bmjopen-2020-040025] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 08/28/2020] [Accepted: 09/30/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To assess barriers and facilitators to de-implementation. DESIGN A qualitative evidence synthesis with a framework analysis. DATA SOURCES Medline, Embase, Cochrane Library and Rx for Change databases until September 2018 were searched. ELIGIBILITY CRITERIA We included studies that primarily focused on identifying factors influencing de-implementation or the continuation of low-value care, and studies describing influencing factors related to the effect of a de-implementation strategy. DATA EXTRACTION AND SYNTHESIS The factors were classified on five levels: individual provider, individual patient, social context, organisational context, economic/political context. RESULTS We identified 333 factors in 81 articles. Factors related to the individual provider (n=131; 74% barriers, 17% facilitators, 9% both barrier/facilitator) were associated with their attitude (n=72; 55%), knowledge/skills (n=43; 33%), behaviour (n=11; 8%) and provider characteristics (n=5; 4%). Individual patient factors (n=58; 72% barriers, 9% facilitators, 19% both barrier/facilitator) were mainly related to knowledge (n=33; 56%) and attitude (n=13; 22%). Factors related to the social context (n=46; 41% barriers, 48% facilitators, 11% both barrier/facilitator) included mainly professional teams (n=23; 50%) and professional development (n=12; 26%). Frequent factors in the organisational context (n=67; 67% barriers, 25% facilitators, 8% both barrier/facilitator) were available resources (n=28; 41%) and organisational structures and work routines (n=24; 36%). Under the category of economic and political context (n=31; 71% barriers, 13% facilitators, 16% both barrier/facilitator), financial incentives were most common (n=27; 87%). CONCLUSIONS This study provides in-depth insight into the factors within the different (sub)categories that are important in reducing low-value care. This can be used to identify barriers and facilitators in low-value care practices or to stimulate development of strategies that need further refinement. We conclude that multifaceted de-implementation strategies are often necessary for effective reduction of low-value care. Situation-specific knowledge of impeding or facilitating factors across all levels is important for designing tailored de-implementation strategies.
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Affiliation(s)
- S A van Dulmen
- Scientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - C A Naaktgeboren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrech, Utrecht University, Utrecht, The Netherlands
| | - Pauline Heus
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Eva W Verkerk
- Scientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - J Weenink
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Rudolf Bertijn Kool
- Scientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Lotty Hooft
- Cochrane Netherlands, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
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Abstract
In the present paper, we discuss the ethics of compassionate psychedelic psychotherapy and argue that it can be morally permissible. When talking about psychedelics, we mean specifically two substances: psilocybin and MDMA. When administered under supportive conditions and in conjunction with psychotherapy, therapies assisted by these substances show promising results. However, given the publicly controversial nature of psychedelics, compassionate psychedelic psychotherapy calls for ethical justification. We thus review the safety and efficacy of psilocybin- and MDMA-assisted therapies and claim that it can be rational for some patients to try psychedelic therapy. We think it can be rational despite the uncertainty of outcomes associated with compassionate use as an unproven treatment regime, as the expected value of psychedelic psychotherapy can be assessed and can outweigh the expected value of routine care, palliative care, or no care at all. Furthermore, we respond to the objection that psychedelic psychotherapy is morally impermissible because it is epistemically harmful. We argue that given the current level of understanding of psychedelics, this objection is unsubstantiated for a number of reasons, but mainly because there is no experimental evidence to suggest that epistemic harm actually takes place.
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Affiliation(s)
- Adam Greif
- Department of Philosophy and History of Philosophy, Faculty of Arts, Comenius University, Šafárikovo námestie 6, 814 99, Bratislava, Slovak Republic.
| | - Martin Šurkala
- Slovak Psychedelic Society, Karpatské námestie 10A, 831 06, Bratislava, Slovak Republic
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Kim HJ, Kim HJ, Park Y, Lee WS, Lim Y, Kim JH. Clinical Genome Data Model (cGDM) provides Interactive Clinical Decision Support for Precision Medicine. Sci Rep 2020; 10:1414. [PMID: 31996707 PMCID: PMC6989462 DOI: 10.1038/s41598-020-58088-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 01/09/2020] [Indexed: 02/02/2023] Open
Abstract
In light of recent developments in genomic technology and the rapid accumulation of genomic information, a major transition toward precision medicine is anticipated. However, the clinical applications of genomic information remain limited. This lag can be attributed to several complex factors, including the knowledge gap between medical experts and bioinformaticians, the distance between bioinformatics workflows and clinical practice, and the unique characteristics of genomic data, which can make interpretation difficult. Here we present a novel genomic data model that allows for more interactive support in clinical decision-making. Informational modelling was used as a basis to design a communication scheme between sophisticated bioinformatics predictions and the representative data relevant to a clinical decision. This study was conducted by a multidisciplinary working group who carried out clinico-genomic workflow analysis and attribute extraction, through Failure Mode and Effects Analysis (FMEA). Based on those results, a clinical genome data model (cGDM) was developed with 8 entities and 46 attributes. The cGDM integrates reliability-related factors that enable clinicians to access the reliability problem of each individual genetic test result as clinical evidence. The proposed cGDM provides a data-layer infrastructure supporting the intellectual interplay between medical experts and informed decision-making.
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Affiliation(s)
- Hyo Jung Kim
- Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyeong Joon Kim
- Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoomi Park
- Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Woo Seung Lee
- Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Younggyun Lim
- Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ju Han Kim
- Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Blanco N, O'Hara LM, Robinson GL, Brown J, Heil E, Brown CH, Stump BD, Sigler BW, Belani A, Miller HL, Chiplinski AN, Perlmutter R, Wilson L, Morgan DJ, Leekha S. Health care worker perceptions toward computerized clinical decision support tools for Clostridium difficile infection reduction: A qualitative study at 2 hospitals. Am J Infect Control 2018; 46:1160-1166. [PMID: 29803592 DOI: 10.1016/j.ajic.2018.04.204] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 04/06/2018] [Accepted: 04/07/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND Clostridium difficile infection (CDI) is associated with significant morbidity and mortality. Computerized clinical decision support (CCDS) tools can aid process improvement in infection prevention and antibiotic stewardship, but implementation and health care workers (HCWs) uptake of these tools is often variable. The objective of this study was to describe HCWs' perceptions of barriers and facilitators related to uptake of CCDS tools as part of a CDI reduction bundle. METHODS We conducted a qualitative study among HCWs at 2 acute care hospitals in Maryland. Semi-structured interviews and structured surveys were completed by HCWs to evaluate their perception to CCDS tools at 2 different stages: predevelopment and preimplementation. Emergent themes and patterns in the data were identified and condensed. RESULTS Gaps in CDI-related knowledge and in communication between HCWs were identified throughout the evaluation. HCWs agreed on the potential of the tools to improve CDI diagnosis, prevention, and control. An important barrier for uptake was the perceived loss of autonomy and clinical judgment, whereas standardization and error reduction were perceived advantages. CONCLUSIONS These observations shaped the development and implementation of the CDI reduction bundle. Qualitative findings can provide valuable contextual information during the development stages of CCDS tools in infection prevention and antibiotic stewardship.
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Affiliation(s)
- Natalia Blanco
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
| | - Lyndsay M O'Hara
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD
| | - Gwen L Robinson
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD
| | - Jeanine Brown
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD
| | - Emily Heil
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD; Department of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD
| | - Clayton H Brown
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD
| | | | | | | | | | | | - Rebecca Perlmutter
- Emerging Infections Program, Maryland Department of Health, Baltimore, MD
| | - Lucy Wilson
- Emerging Infections Program, Maryland Department of Health, Baltimore, MD
| | - Daniel J Morgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD; VA Maryland Healthcare System, Baltimore, MD
| | - Surbhi Leekha
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD
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