External validation of the unified model of information systems continuance (UMISC): An international comparison.

CONTEXT: The Unified Model of Information Systems Continuance (UMISC) is a metamodel for the evaluation of clinical information systems (CISs) that integrates constructs from five models that have previously been published in the literature. UMISC was developed at the Georges Pompidou University Hospital (HEGP) in Paris and was partially validated at the Saint Joseph Hospital Group (HPSJ), another acute care institution using the same CIS as HEGP. OBJECTIVE: The aim of this replication study was twofold: (1) to perform an external validation of UMISC in two different hospitals and country contexts: the Italian Hospital of Buenos Aires (HIBA) in Argentina and the Hospital Sirio Libanes in Sao Paulo, Brazil (HSL); (2) to compare, using the same evaluation model, the determinants of satisfaction, use, and continuance intention observed at HIBA and HSL with those previously observed at HEGP and HPSJ. METHODS: The UMISC evaluation questionnaires were translated from their original languages (English and French) to Brazilian Portuguese and Spanish following the translation/back-translation method. These questionnaires were then applied at each target site. The 21 UMISC-associated hypotheses were tested using structural equation modeling (SEM). RESULTS: A total of 3020 users, 1079 at HIBA and 1941 at the HSL, were included in the analysis. The respondents included 1406 medical staff and 1001 nursing staff. The average profession-adjusted use, overall satisfaction and continuance intention were significantly higher at HIBA than at HSL in the medical and nursing groups. In SEM analysis, UMISC explained 23% and 11% of the CIS use dimension, 72% and 85% of health professionals' satisfaction, and 41% and 60% of continuance intention at HIBA and HSL, respectively. Twenty of the 21 UMISC-related hypotheses were validated in at least one of the four evaluation sites, and 16 were validated in two or more sites. CONCLUSION: The UMISC evaluation metamodel appears to be a robust comparison and explanatory model of satisfaction, use and continuance intention for CISs in late post adoption situations.

Accelerating the Global Workforce Demand for Nurse Informaticians: Advanced Health Informatics Certification (AHIC).

Advances in professional recognition of nursing informatics vary by country but examples exist of training programs moving from curriculum-based education to competency based frameworks to produce highly skilled nursing informaticians. This panel will discuss a significant credentialing project in the United States that should further enhance professional recognition of highly skilled nurses matriculating from NI programs as well as nurses functioning in positions where informatics-induced transformation is occurring. The panel will discuss the professionalization of health informatics by describing core content, training requirements, education needs, and administrative framework applicable for the creation of an Advanced Health Informatics Certification (AHIC).

Towards Implementing a Global Competency-Based Nursing and Clinical Informatics Curriculum: Applying the TIGER Initiative.

This workshop will review the history of the TIGER initiative in order to set the framework for an understanding of international informatics competencies. We will include a description of clinical nursing informatics programs in 37 countries as well as the results of a recent survey of nursing competencies in order to further discussions of internationally agreed-upon competency definitions. These two surveys will provide the basis for developing a consensus regarding the integration of core competencies into informatics curriculum developments. Expected outcomes include building consensus on core competencies and developing plans toward implementing intra- and inter-professional informatics competencies across disciplines globally.

A simulação realística como ferramenta educacional para estudantes de medicina / Realistic simulation as an educacional tool for medical students

Objetivos: A simulação realística faz parte de uma nova possibilidade de ensino que engloba não somente as habilidades técnicas, mas o gerenciamento de crises, liderança, trabalho em equipe e raciocínio clínico que não reflitam prejuízos ao paciente real. O objetivo deste trabalho foi realizar revisão de literatura sobre a utilização da simulação realística, enfatizando a graduação médica e seus aspectos mais relevantes e atuais.Fonte de dados: Foram consultadas as bases de dados PubMed e LILACS, aplicando-se os descritores patient simulation, students, medical e teaching/methods, considerando artigos de revisão publicados nos últimos três anos. Utilizando leitura flutuante dos resumos com a análise de conteúdo e dados registrados, foram encontrados 101 trabalhos de acordo com o propósito desta revisão.Síntese dos dados: Os artigos relatam a importância e auxílio da tecnologia em agregar melhorias ao ensino médico. A segurança do paciente foi descrita como fator decisivo na implementação da simulação realística nas instituições de ensino mundiais. Diversas especialidades foram citadas nos artigos, além de diversos procedimentos específicos e aspectos de exame físico padronizado. Percebe-se interesse em estudar as possíveis formas de avaliar estudantes através dessa ferramenta. As habilidades em comunicação, liderança, tomada de decisão, trabalho em equipe e relacionamento médico/paciente aparecem nesta revisão como o maior benefício de informação aos estudantes.Conclusões: Embora a simulação realística esteja em franco crescimento e valorizada como importante recurso na formação, novos estudos precisam ser realizados e divulgados para fornecer evidências e mensurações concretas e efetivas dessa ferramenta educacional.

Aims: Realistic simulation is part of a new possibility of teaching that encompasses not only the technical skills, but crisis management, leadership, team work, and clinical reasoning that do not reflect actual losses to the real patient. To conduct a review of literature on the use of realistic simulation emphasizing the undergraduate medical education and its most relevant and current aspects.Source of data: PubMed and LILACS databases were consulted, applying the medical subject headings patient simulation, students, medical and teaching/methods, considering articles published in the past three years. Using fluctuating reading of the abstracts with content analysis and recorded data and examination, 101 studies were found in accordance with the purpose of this review.Summary of findings: Articles report the importance and support of technology in aggregating improvements to medical education. Patient safety was described as a decisive factor in the implementation of realistic simulation in institutions worldwide. Various specialties were mentioned among the articles in addition to several specific procedures and aspects of standardized physical examination. There is an interest in studying the possible ways to assess students through realistic simulation. Skills in communication, leadership, decision making, team work and relationship doctor/patient appear in this review as the greatest benefit of information to students.Conclusions: Although realistic simulation is valued and have a rapid growth as an important resource in education, further studies need to be conducted and disseminated to provide concrete and effective evidences and measurements of this educational tool.

Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages.

OBJECTIVE: To assess whether a warning system based on mobile SMS messages increases the adherence of HIV-infected Brazilian women to antiretroviral drug-based treatment regimens and their impressions and satisfaction with respect to incoming messages. DESIGN: A randomized controlled trial was conducted from May 2009 to April 2010 with HIV-infected Brazilian women. All participants (n=21) had a monthly multidisciplinary attendance; each participant was followed over a 4-month period, when adherence measures were obtained. Participants in the intervention group (n=8) received SMS messages 30 min before their last scheduled time for a dose of medicine during the day. The messages were sent every Saturday and Sunday and on alternate days during the working week. Participants in the control group (n=13) did not receive messages. MEASUREMENTS: Self-reported adherence, pill counting, microelectronic monitors (MEMS) and an interview about the impressions and satisfaction with respect to incoming messages. RESULTS: The HIV Alert System (HIVAS) was developed over 7 months during 2008 and 2009. After the study period, self-reported adherence indicated that 11 participants (84.62%) remained compliant in the control group (adherence exceeding 95%), whereas all 8 participants in the intervention group (100.00%) remained compliant. In contrast, the counting pills method indicated that the number of compliant participants was 5 (38.46%) for the control group and 4 (50.00%) for the intervention group. Microelectronic monitoring indicated that 6 participants in the control group (46.15%) were adherent during the entire 4-month period compared to 6 participants in the intervention group (75.00%). According to the feedback of the 8 participants who completed the research in the intervention group, along with the feedback of 3 patients who received SMS for less than 4 months, that is, did not complete the study, 9 (81.81%) believed that the SMS messages aided them in treatment adherence, and 10 (90.90%) responded that they would like to continue receiving SMS messages. CONCLUSION: SMS messaging can help Brazilian women living with HIV/AIDS to adhere to antiretroviral therapy for a period of at least 4 months. In general, the results are encouraging because the SMS messages stimulated more participants in the intervention group to be adherent to their treatment, and the patients were satisfied with the messages received, which were seen as reminders, incentives and signs of affection by the health clinic for a marginalized population.

Artificial intelligence techniques applied to the development of a decision-support system for diagnosing celiac disease.

BACKGROUND: Celiac disease (CD) is a difficult-to-diagnose condition because of its multiple clinical presentations and symptoms shared with other diseases. Gold-standard diagnostic confirmation of suspected CD is achieved by biopsying the small intestine. OBJECTIVE: To develop a clinical decision-support system (CDSS) integrated with an automated classifier to recognize CD cases, by selecting from experimental models developed using intelligence artificial techniques. METHODS: A web-based system was designed for constructing a retrospective database that included 178 clinical cases for training. Tests were run on 270 automated classifiers available in Weka 3.6.1 using five artificial intelligence techniques, namely decision trees, Bayesian inference, k-nearest neighbor algorithm, support vector machines and artificial neural networks. The parameters evaluated were accuracy, sensitivity, specificity and area under the ROC curve (AUC). AUC was used as a criterion for selecting the CDSS algorithm. A testing database was constructed including 38 clinical CD cases for CDSS evaluation. The diagnoses suggested by CDSS were compared with those made by physicians during patient consultations. RESULTS: The most accurate method during the training phase was the averaged one-dependence estimator (AODE) algorithm (a Bayesian classifier), which showed accuracy 80.0%, sensitivity 0.78, specificity 0.80 and AUC 0.84. This classifier was integrated into the web-based decision-support system. The gold-standard validation of CDSS achieved accuracy of 84.2% and k=0.68 (p<0.0001) with good agreement. The same accuracy was achieved in the comparison between the physician's diagnostic impression and the gold standard k=0. 64 (p<0.0001). There was moderate agreement between the physician's diagnostic impression and CDSS k=0.46 (p=0.0008). CONCLUSIONS: The study results suggest that CDSS could be used to help in diagnosing CD, since the algorithm tested achieved excellent accuracy in differentiating possible positive from negative CD diagnoses. This study may contribute towards developing of a computer-assisted environment to support CD diagnosis.

[International outcomes from attempts to implement a clinical decision support system in gastroenterology]. / Experiências internacionais da aplicação de sistemas de apoio à decisão clínica em gastroenterologia.

OBJECTIVE: This study aimed at describing the recent experience acquired with the implementation and use of clinical decision support system in gastroenterology in order to determine the level of development, tests used and advantages that such a system can offer to the medical practice. METHODS: A search in the PubMed, LILACS and ISI Web of Knowledge databases for studies in decision-making support systems in gastroenterology including original papers produced from 2005 to 2010 was performed. A total of 104 scientific papers were retrieved initially. These were analyzed using inclusion and exclusion criteria, thus yielding nine studies for further analysis. RESULTS: The clinical decision support system analyzed in the present study showed a great variety of clinical problems regarding the investigation of a disease and the determination of a diagnosis. Eighty-nine per cent of the studies showed experimental models for clinical decision support system development. Seventy-eight per cent of the studies described the outcomes obtained with artificial intelligence technique. Two studies compared the clinical decision support system performance with that of a doctor, and only one research work described a controlled study evidencing improvements in the medical practice. CONCLUSION: The studies analyzed showed evidence of potential benefits that clinical decision support system can bring to the clinical practice. However, further controlled studies performed in medical day-to-day conditions and environment should be performed in order to provide more clear evidence of the usefulness of clinical decision support system in the medical practice.

[Analysis of the model OPM3® application and results for health area]. / Análise da aplicação e dos resultados do modelo OPM3® para a área da saúde.

This research sought to analyze if a questionnaire model created by an international community of project management is applicable to health organizations. The model OPM3® (Organizational Project Management Maturity Model) was created in order that organizations of any area or size can identify the presence or absence of good management practices. The aim of applying this model is to always evaluate the organization and not the interviewee. In this paper, one presents the results of employing this model in an organization that has information technology products and services applied to health area. This study verified that the model is rapidly applicable and that the analyzed organization has an expressive number of good practices.

Traffic accident in Cuiabá-MT: an analysis through the data mining technology.

The traffic road accidents (ATT) are non-intentional events with an important magnitude worldwide, mainly in the urban centers. This article aims to analyzes data related to the victims of ATT recorded by the Justice Secretariat and Public Security (SEJUSP) in hospital morbidity and mortality incidence at the city of Cuiabá-MT during 2006, using data mining technology. An observational, retrospective and exploratory study of the secondary data bases was carried out. The three database selected were related using the probabilistic method, through the free software RecLink. One hundred and thirty-nine (139) real pairs of victims of ATT were obtained. In this related database the data mining technology was applied with the software WEKA using the Apriori algorithm. The result generated 10 best rules, six of them were considered according to the parameters established that indicated a useful and comprehensible knowledge to characterize the victims of accidents in Cuiabá. Finally, the findings of the associative rules showed peculiarities of the road traffic accident victims in Cuiabá and highlight the need of prevention measures in the collision accidents for males.

Model for differential nursing diagnosis of alterations in urinary elimination based on fuzzy logic.

Nursing diagnoses associated with alterations of urinary elimination require different interventions. Nurses, who are not specialists, require support to diagnose and manage patients with disturbances of urine elimination. The aim of this study was to present a model based on fuzzy logic for differential diagnosis of alterations in urinary elimination, considering nursing diagnosis approved by the North American Nursing Diagnosis Association, 2001-2002. Fuzzy relations and the maximum-minimum composition approach were used to develop the system. The model performance was evaluated with 195 cases from the database of a previous study, resulting in 79.0% of total concordance and 19.5% of partial concordance, when compared with the panel of experts. Total discordance was observed in only three cases (1.5%). The agreement between model and experts was excellent (kappa = 0.98, P < .0001) or substantial (kappa = 0.69, P < .0001) when considering the overestimative accordance (accordance was considered when at least one diagnosis was equal) and the underestimative discordance (discordance was considered when at least one diagnosis was different), respectively. The model herein presented showed good performance and a simple theoretical structure, therefore demanding few computational resources.

Proposal for an essential nursing data set to evaluate the health in home care elderly persons.

This paper presents a proposal for a set of computerized data to construct an instrument in initial evaluations of the overall state of health elderly persons. The objective is to establish a common system of language and data-sharing, and to make the data collected available. This is expected to enable better planning and promotion of the quality of the assistance provided to this population.

Nursing documentation in occupational health.

PURPOSE: Traditionally, nursing documentation has been consistent with hospital standards and legal definitions of clinical nursing practice. Identify data and information nurses need to be recorded in order to maintain the continuity and quality of nursing care and the efficiency of nursing performance is a research question that is moving professionals around the world. This study objective is to describe the analysis of nursing documentation in the patient records. METHODS: It is a retrospective study. The study was conducted in the ambulatory occupational health nursing; it was selected 111 patient records. Of these, in 106 we identified a total of 775 nursing records. The nursing records comprise the following dimension: identification, job history, health state, health and safety, psychological e socio- cultural, medical history, physical examination and nursing assessment. RESULTS: In the data set elements found as documented in the subjective data and objective data, there was higher frequency of data elements related to the following nursing dimensions: health state, health and safety, physical examination and nursing assessment. The dimension of job history we found that 25% of the nursing records did not documented information about the current work status of the patient. In addition, the current job activity 20.77% of the records), working day 9.03% of the records), job process 8.13% of the records), worksite exposure 8.0% of the records), environmental works 6.19% of the records), occupation 5.81% of the records), job time 4.39% of the records), before job activity 4.13 % of the records), and work location 3.23% of the records) were not also documented. CONCLUSION: In conclusion, the present study was an attempt to highlight the importance of data to be documented and organized in the existing information systems in the specific area of occupational health care. The adequate data collected can provide the right information to improve nursing care in this care setting and enhance health population.