Objetivo: Analisar as fontes de informação científica e os fatores concorrentes a estas que influenciam a prescrição de residentes médicos num hospital universitário. Método: Foi realizada pesquisa exploratória que envolveu observação não participante em campo, entrevistas orientadas por questionário semiestruturado e análise de conteúdo após transcrição das falas. O estudo foi conduzido no Hospital da Universidade Federal da Bahia entre dezembro de 2013 a março 2014 e contou com a participação de profissionais das áreas de clínica médica, onco-hematologia, pediatria e psiquiatria. O instrumento COREQ foi utilizado para guiar a apresentação dos achados dessa pesquisa. Resultados: Doze médicos foram entrevistados, sendo 8 residentes, 2 preceptores e 2 professores. Os entrevistados indicam que fatores relacionados aos pacientes norteiam a tomada de decisão sobre prescrever medicamentos, associados às evidências científicas, a preceptoria ou tutoria médica e farmacêuticos. A insegurança dos residentes em prescrever, especialmente, no primeiro ano e a falta de autonomia dos mesmos também foram fatores identificados. As fontes de informação mais citadas para esclarecer dúvidas foram UpToDate, Portal de Periódicos da CAPES, PubMed, artigos e bula do medicamento, sendo as fontes de informação nacionais menos citadas do que as internacionais. O preceptor ou professor apareceu como importante fonte de informação, principalmente, devido aos anos de experiência pessoal. Conclusões: Apesar da facilidade de acesso a diversas fontes de informação de qualidade, os residentes não as utilizam com frequência. A prescrição médica sofre influência multifatorial, sendo a opinião do médico mais experiente uma das mais importantes nesse processo. / Objective: To analyze the sources of scientific information and competitors to these factors that influence the prescription of medical residents in an university hospital. Method: Exploratory research was performed involving non-participant observation in the field, interviews guided by semi-structured questionnaire and content analysis after transcription of the speeches. The study was conducted at the Hospital of Federal University of Bahia between December 2013 to March 2014 and included the participation of professionals from the internal medicine, oncohematology, pediatrics and psychiatry. The COREQ instrument was used to guide the presentation of the research findings. Results: Twelve doctors were interviewed: 8 residents, 2 professors and 2 preceptors. Interviewees indicate that patient-related factors associated with scientific evidence, medical preceptorship or mentoring and pharmacists guide the decision-making about prescribing medicines. The insecurity of residents in prescribing, especially in the first year and the lack of autonomy of them were also identified. The most cited sources of information to answer questions related to drugs were UpToDate, CAPES Portal of Periodicals, PubMed, articles and package leaflet. National sources were cited less than international. The preceptor or professor appeared as an important source of information, mainly due to their years of personal experience. Conclusions: Despite of the ease of access to many quality information sources, residents do not use them frequently. The prescription suffers multifactorial influence, and the opinion of the most experienced doctor is one of the major influent factor in this process.

Objetivo: Analisar as fontes de informação científica e os fatores concorrentes a estas que influenciam a prescrição de residentes médicos num hospital universitário. Método: Foi realizada pesquisa exploratória que envolveu observação não participante em campo, entrevistas orientadas por questionário semiestruturado e análise de conteúdo após transcrição das falas. O estudo foi conduzido no Hospital da Universidade Federal da Bahia entre dezembro de 2013 a março 2014 e contou com a participação de profissionais das áreas de clínica médica, onco-hematologia, pediatria e psiquiatria. O instrumento COREQ foi utilizado para guiar a apresentação dos achados dessa pesquisa. Resultados: Doze médicos foram entrevistados, sendo 8 residentes, 2 preceptores e 2 professores. Os entrevistados indicam que fatores relacionados aos pacientes norteiam a tomada de decisão sobre prescrever medicamentos, associados às evidências científicas, a preceptoria ou tutoria médica e farmacêuticos. A insegurança dos residentes em prescrever, especialmente, no primeiro ano e a falta de autonomia dos mesmos também foram fatores identificados. As fontes de informação mais citadas para esclarecer dúvidas foram UpToDate, Portal de Periódicos da CAPES, PubMed, artigos e bula do medicamento, sendo as fontes de informação nacionais menos citadas do que as internacionais. O preceptor ou professor apareceu como importante fonte de informação, principalmente, devido aos anos de experiência pessoal. Conclusões: Apesar da facilidade de acesso a diversas fontes de informação de qualidade, os residentes não as utilizam com frequência. A prescrição médica sofre influência multifatorial, sendo a opinião do médico mais experiente uma das mais importantes nesse processo. / Objective: To analyze the sources of scientific information and competitors to these factors that influence the prescription of medical residents in an university hospital. Method: Exploratory research was performed involving non-participant observation in the field, interviews guided by semi-structured questionnaire and content analysis after transcription of the speeches. The study was conducted at the Hospital of Federal University of Bahia between December 2013 to March 2014 and included the participation of professionals from the internal medicine, oncohematology, pediatrics and psychiatry. The COREQ instrument was used to guide the presentation of the research findings. Results: Twelve doctors were interviewed: 8 residents, 2 professors and 2 preceptors. Interviewees indicate that patient-related factors associated with scientific evidence, medical preceptorship or mentoring and pharmacists guide the decision-making about prescribing medicines. The insecurity of residents in prescribing, especially in the first year and the lack of autonomy of them were also identified. The most cited sources of information to answer questions related to drugs were UpToDate, CAPES Portal of Periodicals, PubMed, articles and package leaflet. National sources were cited less than international. The preceptor or professor appeared as an important source of information, mainly due to their years of personal experience. Conclusions: Despite of the ease of access to many quality information sources, residents do not use them frequently. The prescription suffers multifactorial influence, and the opinion of the most experienced doctor is one of the major influent factor in this process.

Objetivo: Analisar as fontes de informação científica e os fatores concorrentes a estas que influenciam a prescrição de residentes médicos num hospital universitário. Método: Foi realizada pesquisa exploratória que envolveu observação não participante em campo, entrevistas orientadas por questionário semiestruturado e análise de conteúdo após transcrição das falas. O estudo foi conduzido no Hospital da Universidade Federal da Bahia entre dezembro de 2013 a março 2014 e contou com a participação de profissionais das áreas de clínica médica, onco-hematologia, pediatria e psiquiatria. O instrumento COREQ foi utilizado para guiar a apresentação dos achados dessa pesquisa. Resultados: Doze médicos foram entrevistados, sendo 8 residentes, 2 preceptores e 2 professores. Os entrevistados indicam que fatores relacionados aos pacientes norteiam a tomada de decisão sobre prescrever medicamentos, associados às evidências científicas, a preceptoria ou tutoria médica e farmacêuticos. A insegurança dos residentes em prescrever, especialmente, no primeiro ano e a falta de autonomia dos mesmos também foram fatores identificados. As fontes de informação mais citadas para esclarecer dúvidas foram UpToDate, Portal de Periódicos da CAPES, PubMed, artigos e bula do medicamento, sendo as fontes de informação nacionais menos citadas do que as internacionais. O preceptor ou professor apareceu como importante fonte de informação, principalmente, devido aos anos de experiência pessoal. Conclusões: Apesar da facilidade de acesso a diversas fontes de informação de qualidade, os residentes não as utilizam com frequência. A prescrição médica sofre influência multifatorial, sendo a opinião do médico mais experiente uma das mais importantes nesse processo. / Objective: To analyze the sources of scientific information and competitors to these factors that influence the prescription of medical residents in an university hospital. Method: Exploratory research was performed involving non-participant observation in the field, interviews guided by semi-structured questionnaire and content analysis after transcription of the speeches. The study was conducted at the Hospital of Federal University of Bahia between December 2013 to March 2014 and included the participation of professionals from the internal medicine, oncohematology, pediatrics and psychiatry. The COREQ instrument was used to guide the presentation of the research findings. Results: Twelve doctors were interviewed: 8 residents, 2 professors and 2 preceptors. Interviewees indicate that patient-related factors associated with scientific evidence, medical preceptorship or mentoring and pharmacists guide the decision-making about prescribing medicines. The insecurity of residents in prescribing, especially in the first year and the lack of autonomy of them were also identified. The most cited sources of information to answer questions related to drugs were UpToDate, CAPES Portal of Periodicals, PubMed, articles and package leaflet. National sources were cited less than international. The preceptor or professor appeared as an important source of information, mainly due to their years of personal experience. Conclusions: Despite of the ease of access to many quality information sources, residents do not use them frequently. The prescription suffers multifactorial influence, and the opinion of the most experienced doctor is one of the major influent factor in this process.

Objetivos. Reflexos das transformações sociais promovidas pela Sociedade do Conhecimento são percebidos no contexto da gestão em saúde no Brasil. Apresentam-se referencial teórico sobre essas mudanças, gestão do SUS, sistemas de informação em saúde, produção científica e uso da informação na gestão. Foi analisada a produção científica brasileira em saúde pública como fonte de apoio à tomada de decisão em saúde. Metodologia. Foram feitos estudo exploratório qualitativo e análise documental em três áreas: bases de dados bibliográficas disponíveis na Biblioteca Virtual em Saúde, agendas estaduais de saúde e sites das Secretarias Estaduais de Saúde. Resultados. Os principais resultados foram: as bases de dados LILACS e MEDLINE foram as fontes de apoio mais abrangentes para localizar produção brasileira publicada no país e no exterior, respectivamente; a produção científica brasileira destaca-se nessa área, correspondendo a 39 por cento dos registros da LILACS-SP; as principais instituições produtoras são universidades e organismos governamentais; a produção de saúde pública encontra-se distribuída em revistas de outras áreas da saúde; a internet, já utilizada pelo ministério e pelas secretarias de saúde, seria favorável para disseminação de conhecimento científico para a gestão em saúde. Conclusões e recomendações. A informação científica e técnica disponível poderia apoiar os processos de tomada de decisão, mas o caminho entre sua produção e uso não é linear e precisa ser estimulado. São apresentadas sugestões para promover integração e articulação entre pesquisa científica e decisão política. / Objectives. Social changes introduced by Knowledge Society are perceptible in the health management context in Brazil. Literature on these social changes, on National Health System - SUS legislation, on health information systems, on the health scientific production and on its use for decision making was reviewed. Brazilian public health scientific literature as support to health decision making was analyzed. Methods. Qualitative exploratory methods and document analysis were used to study bibliographic databases available at the Virtual Health Library, health agendas and sites of the State Secretaries of Health. Results. The main results were: LILACS and MEDLINE databases were the most comprehensive sources for searching Brazilian public health literature; 39 per cent of LILACS-SP records corresponds to Brazilian public health literature; universities and government institutions are the main producers of public health scientific literature; public health journal articles are published also in journals from other health fields; Internet, which is already being used by Ministry and State Secretaries of Health for communication, could be a favorable environment for dissemination of scientific information for health decision making. Conclusions and recommendations. Available health scientific and technical information could support health decision making processes but the channels between its production and use are not linear and need to be strengthened. Recommendations to improve relationship and interaction between health research and policy were presented.

Este estudo descritivo / exploratório com análise documental, retrospectivo, utilizando o método de Estudo de Caso tem como objetivo avaliar o módulo de Gerenciamento de Unidade (PAGU) com foco no Prontuário Eletrônico do Paciente (PEP). No Complexo Hospitalar, campo de estudo, foi implantado o Sistema de Gestão Hospitalar em 2005. Iniciou-se com o levantamento da história da implantação do Sistema de Gestão Hospitalar seguindo seis fases: como primeira fase considerou-se o planejamento iniciado em 2002, seguindo para a fase de análise funcional com a determinação de rotinas, protocolos e processos operacionais; na fase de determinação de requisito avaliaram-se as necessidades da instituição em relação ao sistema, a fase do desenho e desenvolvimento foi realizada pela empresa contratada. A quinta fase constituiu-se a implementação. Como última fase considerou-se a avaliação do hardware e software realizada pelos responsáveis do Setor de Informática. Verificaram-se várias necessidades as quais foram atendidas, em parte, pela empresa contratada e outras, pelos responsáveis do setor de Informática do complexo hospitalar. O modelo proposto para avaliar o módulo PAGU baseou-se nas normas e padrões preconizados pela (ISO) International Organization for Standardization - (IEC) (International Electrotechnical Commission) 9126-4 Qualidade em uso. Para avaliar a realização das Prescrições Médica e de Enfermagem, selecionaram-se 45 e 35 usuários, respectivamente. Foram realizadas duas avaliações, sendo que entre a primeira e segunda foram implementadas melhorias que proporcionaram bons efeitos. Baseado nas normas ISO/IEC 9126-4 Qualidade em uso obtiveram-se os seguintes resultados: Métrica da Efetividade - a eficácia da tarefa realizada pelo segmento médico foi de 100% em ambas as avaliações, e 93% e 100% para o segmento Enfermeiro. Métrica de Produtividade - o tempo médio da realização da prescrição foi de 4,39 min na primeira e 6,21 min. na segunda avaliação para o usuário médico. O usuário enfermeiro obteve o resultado de 4,05 min. na primeira e 3,02 min. na segunda avaliação. O resultado da Métrica de Segurança do paciente relacionado à quantidade de itens prescritos com algum erro, pelo usuário médico, foi na primeira avaliação 1,94 e na segunda, 0,37 itens. O usuário enfermeiro resultou em 1,26 na primeira e 0,33 itens na segunda avaliação. Com respeito às falhas relacionadas à segurança, o usuário médico apresentou 1,84 itens na primeira e 0,32 itens na segunda avaliação, já o enfermeiro verificou-se 0,65 itens na primeira e 0,09 itens na segunda avaliação. Relacionado à economia obteve-se o valor de 0,13 na primeira e 0,09 itens na segunda avaliação para o usuário médico. O usuário enfermeiro obteve 0,99 itens na primeira avaliação e 0,24 na segunda. Na Métrica de Satisfação / Desempenho constatou-se o valor de 5,82 na primeira e 5,75 na segunda avaliação para o usuário médico e 5,58 na primeira e 6,41 na segunda avaliação para o usuário enfermeiro. Concluiu-se que a avaliação da realização da Prescrição, no módulo PAGU, atingiu respostas positivas na maioria das características. Os resultados obtidos neste estudo serão utilizados para ações de melhorias e treinamentos. Essa pesquisa proporciona a disseminação do conhecimento, em saúde e enfermagem / This descriptive, exploratory study with retrospective document analysis aims, using case study methodology, to evaluate the Management Unit module (PAGU) focused on the Electronic Health Record (EHR). The Hospital Management System was implemented in the Hospital Complex, field of study, in 2005. It began with a survey of the history of implementation of the Hospital Management System following six phases: the planning, which started in 2002, was considered the first phase. This was followed by the functional analysis stage with the determination of routines, protocols, and operational processes. In the requirement determination phase, the needs of the institution in relation to the system were evaluated. The design and development phase was carried out by the contractor. The fifth phase consisted of implementation. As a final step we considered the evaluation of the hardware and software comprising the I.T. systems. There were several needs which were met not only by the contractor but also by the staff responsible for the hospital\'s IT department. The model proposed to evaluate the PAGU module was based on norms and standards set by the (ISO) International Organization for Standardization - (IEC) (International Electro-technical Commission) 9126-4 Quality in use. In order to evaluate the performance of Physicians\' and Nurses\' Prescriptions, we selected 45 and 35 users, respectively. Two evaluations were carried out, and between them, improvements were implemented yielding positive effects. Based on ISO / IEC 9126-4 Quality in use, the following results were found: Effectiveness Metrics - the effectiveness of tasks performed by the physicians was 100 % in both evaluations, and for the nurses 93 % and 100 %. Productivity Metrics - the average time for completion of medical prescription was 4.39 min in the first evaluation and 6.21 min in the second for the physicians. The nurses obtained results of 4.05 min in the first and 3.02 min in the second evaluation. The result of the Patient Safety Metrics in relation to the amount of items prescribed with an error, concerning the physicians, was 1.94 items in the first evaluation and 0.37 items in the second. As for the nurses, this result was 1.26 items in the first evaluation and 0.33 in the second. With respect to security-related crashes, the physicians presented 1.84 items in the first evaluation and 0.32 items in the second, while the nurses\' result was 0.65 items in the first evaluation and 0.09 items in the second. In relation to economy, the values obtained for the physicians were 0.13 items in the first evaluation and 0.09 items in the second evaluation, while for the nurses these values were 0.99 items in the first evaluation and 0.24 in the second. In the satisfaction / performance metric a value of 5.82 was found in the first and 5.75 in the second evaluation for the physicians and 5.58 in the first evaluation and 6.41 in the second evaluation for the nurses. It was concluded that the evaluation of the performance of prescription module PAGU achieved positive responses relating to the majority of characteristics. The results of this study will be used for training purposes and quality improvement. This research provides the dissemination of knowledge in health care and nursing

Este estudo descritivo / exploratório com análise documental, retrospectivo, utilizando o método de Estudo de Caso tem como objetivo avaliar o módulo de Gerenciamento de Unidade (PAGU) com foco no Prontuário Eletrônico do Paciente (PEP). No Complexo Hospitalar, campo de estudo, foi implantado o Sistema de Gestão Hospitalar em 2005. Iniciou-se com o levantamento da história da implantação do Sistema de Gestão Hospitalar seguindo seis fases: como primeira fase considerou-se o planejamento iniciado em 2002, seguindo para a fase de análise funcional com a determinação de rotinas, protocolos e processos operacionais; na fase de determinação de requisito avaliaram-se as necessidades da instituição em relação ao sistema, a fase do desenho e desenvolvimento foi realizada pela empresa contratada. A quinta fase constituiu-se a implementação. Como última fase considerou-se a avaliação do hardware e software realizada pelos responsáveis do Setor de Informática. Verificaram-se várias necessidades as quais foram atendidas, em parte, pela empresa contratada e outras, pelos responsáveis do setor de Informática do complexo hospitalar. O modelo proposto para avaliar o módulo PAGU baseou-se nas normas e padrões preconizados pela (ISO) International Organization for Standardization - (IEC) (International Electrotechnical Commission) 9126-4 Qualidade em uso. Para avaliar a realização das Prescrições Médica e de Enfermagem, selecionaram-se 45 e 35 usuários, respectivamente. Foram realizadas duas avaliações, sendo que entre a primeira e segunda foram implementadas melhorias que proporcionaram bons efeitos. Baseado nas normas ISO/IEC 9126-4 Qualidade em uso obtiveram-se os seguintes resultados: Métrica da Efetividade - a eficácia da tarefa realizada pelo segmento médico foi de 100% em ambas as avaliações, e 93% e 100% para o segmento Enfermeiro. Métrica de Produtividade - o tempo médio da realização da prescrição foi de 4,39 min na primeira e 6,21 min. na segunda avaliação para o usuário médico. O usuário enfermeiro obteve o resultado de 4,05 min. na primeira e 3,02 min. na segunda avaliação. O resultado da Métrica de Segurança do paciente relacionado à quantidade de itens prescritos com algum erro, pelo usuário médico, foi na primeira avaliação 1,94 e na segunda, 0,37 itens. O usuário enfermeiro resultou em 1,26 na primeira e 0,33 itens na segunda avaliação. Com respeito às falhas relacionadas à segurança, o usuário médico apresentou 1,84 itens na primeira e 0,32 itens na segunda avaliação, já o enfermeiro verificou-se 0,65 itens na primeira e 0,09 itens na segunda avaliação. Relacionado à economia obteve-se o valor de 0,13 na primeira e 0,09 itens na segunda avaliação para o usuário médico. O usuário enfermeiro obteve 0,99 itens na primeira avaliação e 0,24 na segunda. Na Métrica de Satisfação / Desempenho constatou-se o valor de 5,82 na primeira e 5,75 na segunda avaliação para o usuário médico e 5,58 na primeira e 6,41 na segunda avaliação para o usuário enfermeiro. Concluiu-se que a avaliação da realização da Prescrição, no módulo PAGU, atingiu respostas positivas na maioria das características. Os resultados obtidos neste estudo serão utilizados para ações de melhorias e treinamentos. Essa pesquisa proporciona a disseminação do conhecimento, em saúde e enfermagem / This descriptive, exploratory study with retrospective document analysis aims, using case study methodology, to evaluate the Management Unit module (PAGU) focused on the Electronic Health Record (EHR). The Hospital Management System was implemented in the Hospital Complex, field of study, in 2005. It began with a survey of the history of implementation of the Hospital Management System following six phases: the planning, which started in 2002, was considered the first phase. This was followed by the functional analysis stage with the determination of routines, protocols, and operational processes. In the requirement determination phase, the needs of the institution in relation to the system were evaluated. The design and development phase was carried out by the contractor. The fifth phase consisted of implementation. As a final step we considered the evaluation of the hardware and software comprising the I.T. systems. There were several needs which were met not only by the contractor but also by the staff responsible for the hospital\'s IT department. The model proposed to evaluate the PAGU module was based on norms and standards set by the (ISO) International Organization for Standardization - (IEC) (International Electro-technical Commission) 9126-4 Quality in use. In order to evaluate the performance of Physicians\' and Nurses\' Prescriptions, we selected 45 and 35 users, respectively. Two evaluations were carried out, and between them, improvements were implemented yielding positive effects. Based on ISO / IEC 9126-4 Quality in use, the following results were found: Effectiveness Metrics - the effectiveness of tasks performed by the physicians was 100 % in both evaluations, and for the nurses 93 % and 100 %. Productivity Metrics - the average time for completion of medical prescription was 4.39 min in the first evaluation and 6.21 min in the second for the physicians. The nurses obtained results of 4.05 min in the first and 3.02 min in the second evaluation. The result of the Patient Safety Metrics in relation to the amount of items prescribed with an error, concerning the physicians, was 1.94 items in the first evaluation and 0.37 items in the second. As for the nurses, this result was 1.26 items in the first evaluation and 0.33 in the second. With respect to security-related crashes, the physicians presented 1.84 items in the first evaluation and 0.32 items in the second, while the nurses\' result was 0.65 items in the first evaluation and 0.09 items in the second. In relation to economy, the values obtained for the physicians were 0.13 items in the first evaluation and 0.09 items in the second evaluation, while for the nurses these values were 0.99 items in the first evaluation and 0.24 in the second. In the satisfaction / performance metric a value of 5.82 was found in the first and 5.75 in the second evaluation for the physicians and 5.58 in the first evaluation and 6.41 in the second evaluation for the nurses. It was concluded that the evaluation of the performance of prescription module PAGU achieved positive responses relating to the majority of characteristics. The results of this study will be used for training purposes and quality improvement. This research provides the dissemination of knowledge in health care and nursing

Objetivos. Reflexos das transformações sociais promovidas pela Sociedade do Conhecimento são percebidos no contexto da gestão em saúde no Brasil. Apresentam-se referencial teórico sobre essas mudanças, gestão do SUS, sistemas de informação em saúde, produção científica e uso da informação na gestão. Foi analisada a produção científica brasileira em saúde pública como fonte de apoio à tomada de decisão em saúde. Metodologia. Foram feitos estudo exploratório qualitativo e análise documental em três áreas: bases de dados bibliográficas disponíveis na Biblioteca Virtual em Saúde, agendas estaduais de saúde e sites das Secretarias Estaduais de Saúde. Resultados. Os principais resultados foram: as bases de dados LILACS e MEDLINE foram as fontes de apoio mais abrangentes para localizar produção brasileira publicada no país e no exterior, respectivamente; a produção científica brasileira destaca-se nessa área, correspondendo a 39 por cento dos registros da LILACS-SP; as principais instituições produtoras são universidades e organismos governamentais; a produção de saúde pública encontra-se distribuída em revistas de outras áreas da saúde; a internet, já utilizada pelo ministério e pelas secretarias de saúde, seria favorável para disseminação de conhecimento científico para a gestão em saúde. Conclusões e recomendações. A informação científica e técnica disponível poderia apoiar os processos de tomada de decisão, mas o caminho entre sua produção e uso não é linear e precisa ser estimulado. São apresentadas sugestões para promover integração e articulação entre pesquisa científica e decisão política. / Objectives. Social changes introduced by Knowledge Society are perceptible in the health management context in Brazil. Literature on these social changes, on National Health System - SUS legislation, on health information systems, on the health scientific production and on its use for decision making was reviewed. Brazilian public health scientific literature as support to health decision making was analyzed. Methods. Qualitative exploratory methods and document analysis were used to study bibliographic databases available at the Virtual Health Library, health agendas and sites of the State Secretaries of Health. Results. The main results were: LILACS and MEDLINE databases were the most comprehensive sources for searching Brazilian public health literature; 39 per cent of LILACS-SP records corresponds to Brazilian public health literature; universities and government institutions are the main producers of public health scientific literature; public health journal articles are published also in journals from other health fields; Internet, which is already being used by Ministry and State Secretaries of Health for communication, could be a favorable environment for dissemination of scientific information for health decision making. Conclusions and recommendations. Available health scientific and technical information could support health decision making processes but the channels between its production and use are not linear and need to be strengthened. Recommendations to improve relationship and interaction between health research and policy were presented.

This research explored health decision-making processes among people recently diagnosed with type 2 diabetes. Our analysis suggested that diagnosis with type 2 was followed by a period of intense emotional and cognitive disequilibrium. Subsequently, the informants were observed to proceed to health decision-making which was affected by three separate and interrelated factors: knowledge, self-efficacy, and purpose. Knowledge included cognitive or factual components and emotional elements. Knowledge influenced the degree of upset or disequilibrium the patient experienced, and affected a second category, agency: the informants’ confidence in their ability to enact lifestyle changes. The third factor, purpose, summarized the personal and deeply held reasons people gave as they made decisions concerning their health, eating and exercising. We propose this model, grounded in informant stories, as a heuristic, to guide further inquiry. From these stories, the patient is seen as more active and the interrelated influences of knowledge, agency, and purpose, synergistically interact to explain changes in health behaviors.

Part one provides a literature review on the development of attitude theory in marketing research and addresses concerns regarding the effects of common method variance (CMV) in published studies based on the reasoned-action paradigm of consumer behavior and decision making. The results of a marker-variable analysis, logit analysis, and reanalysis of path estimates support the validity of self-report survey research designs. Part two employs a survey design to develop and validate a scale to measure a consumer s tendency to use a complex decision style (CDS) in conceptualizing and negotiating high-stakes decision situations. Drawing from literature on cognitive style theory and complexity science, a complex approach to decision making is characterized as being complexity-focused; decision makers tend to rely more heavily on strategies such as collaborating with others and integrating a variety of information. The CDS scale is also applied within a conceptual model of choice of elective healthcare treatment, specifically, women s decisions regarding the use of hormone therapy, commonly referred to as HRT.

Background The landscape of clinical decision support systems (CDSSs) is evolving to include increasingly sophisticated data-driven methods, such as machine learning, to provide clinicians with predictions about patients’ risk for negative outcomes or their likely responses to treatments (predictive CDSSs). However, trust in predictive CDSSs has shown to challenge clinician adoption of these tools, precluding the ability to positively impact patient outcomes. This is particularly salient in the hospital setting where clinician time is scarce, and predictive CDSSs have the potential to decrease preventable mortality. Many have advised that clinicians should be involved in the development, implementation, and evaluation of predictive CDSSs to increase translation from development to adoption. Yet, little is known about the prevalence of clinician involvement or the factors that influence clinicians’ trust in predictive CDSSs for the hospital setting. The specific aims of this dissertation were: (a) to survey the literature on predictive CDSSs for the hospital setting to describe the prevalence and methods of clinician involvement throughout stages of system design, (b) to identify and characterize factors that influence clinicians’ trust in predictive CDSSs for in-hospital deterioration, and (c) to explore the use of a trust conceptual framework for incorporating clinician expertise into machine learning model development for predicting rapid response activation among hospitalized non-ICU patients using electronic health record (EHR) data. Methods To address the first aim (presented in Chapter Two), a scoping review was conducted to summarize the state of the science of clinician (nurse, physician, physician assistant, nurse practitioner) involvement in predictive CDSS design, with a specific focus on systems using machine learning methods with EHR data for in-hospital decision-making. To address the second aim (presented in Chapter Three), semi-structured interviews with nurses and prescribing providers (i.e., physicians, physicians assistants, nurse practitioners) were conducted and analyzed inductively and deductively (using the Human-Computer Trust conceptual framework) to identify factors that influence trust in predictive CDSSs, using an implemented predictive CDSS for in-hospital deterioration as a grounding example. Finally, to address the third aim (presented in Chapter Four), clinician expertise was elicited in the form of model specifications (requirements, insights, preferences) for facilitating factors shown to influence trust in predictive CDSSs, as guided by the Human-Computer Trust conceptual framework. Specifications included: (a) importance ranking of input features, (b) preference for a more sensitive or specific model, (c) acceptable false positive and negative rates, and (d) prediction lead time. Specifications informed development and evaluation of machine learning models predicting rapid response activation using retrospective EHR data. Results The scoping review identified 80 studies. Seventy-six studies described developing a machine learning model for a predictive CDSS, 28% of which described involving clinicians during development. Clinician involvement during development was categorized as: (a) determining clinical relevance/correctness, (b) feature selection, (c) data preprocessing, and (d) serving as a gold standard. Only five studies described implemented predictive CDSSs and no studies described systems in routine use. The qualitative investigation with 17 clinicians (9 prescribing providers, 8 nurses) confirmed that the Human-Computer Trust concepts of perceived understandability and perceived technical competence are factors that influence hospital clinicians’ trust in predictive CDSSs and further characterized these factors (i.e., themes). This study also identified three additional themes influencing trust: (a) actionability, (b) evidence, and (c) equitability, and found that clinicians’ needs for explanations of machine learning models and the impact of discordant predictions may vary according to the extent to which clinicians rely on the predictive CDSS for decision-making. Only two of 28 categories/sub-categories and one theme emerged uniquely to nurses or prescribing providers. Finally, the third study elicited model specifications from fifteen total clinicians. Not all clinicians answered all questions. Vital sign frequency was ranked the most important feature category on average (n = 8 clinicians), the most frequently preferred prediction lead time was shift-change/8-12 hours (n = 9 clinicians), most preferred a more specific than sensitive model (71%; n = 7 clinicians), the average acceptable false positive rate was 42% (n = 9 clinicians), the average acceptable false negative rate was 29% (n = 6 clinicians). These specifications informed development and testing of four machine learning classification models (ridge regression, decision trees, random forest, and XGBoost). 249,676 patient admissions from 2015–2018 at a large northeastern hospital system were modeled to predict whether or not patients would have a rapid response within the 12-hour shift. The random forest classifier met clinician’s average acceptable false positive (27.7%) and negative rates (28.9%) and was marginally more specific (72.2%) than sensitive (71.1%) on a holdout test set. Conclusions Studies do not routinely report clinician involvement in model development of predictive CDSSs for the hospital setting and publications on implementation considerably lag those on development. Nurses and prescribing providers described largely shared experiences of trust in predictive CDSSs. Clinicians’ reliance on the predictive CDSS for decision-making within the target clinical workflow should be considered when aiming to facilitate trust. Incorporating clinician expertise into model development for the purpose of facilitating trust is feasible. Future research is needed on the impact of clinician involvement on trust, clinicians’ personal attributes that influence trust, and explanation design. Increased education for clinicians about predictive CDSSs is recommended.