18 research outputs found

    Quality Improvement with Outcome Data in Integrated Obstetric Care Networks: Evaluating Collaboration and Learning Across Organizational Boundaries with an Action Research Approach

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    Introduction: Patient-reported outcome and experience measures (PROM and PREM) are used to guide individual care and quality improvement (QI). QI with patient-reported data is preferably organized around patients, which is challenging across organisations. We aimed to investigate network-broad learning for QI with outcome data. Methods: In three obstetric care networks using individual-level PROM/PREM, a learning strategy for cyclic QI based on aggregated outcome data was developed, implemented and evaluated. The strategy included clinical, patient-reported, and professional-reported data; together translated into cases for interprofessional discussion. This study’s data generation (including focus groups, surveys, observations) and analysis were guided by a theoretical model for network collaboration. Results: The learning sessions identified opportunities and actions to improve quality and continuity of perinatal care. Professionals valued the data (especially patient-reported) combined with in-dept interprofessional discussion. Main challenges were professionals’ time constraints, data infrastructure, and embedding improvement actions. Network-readiness for QI depended on trustful collaboration through connectivity and consensual leadership. Joint QI required information exchange and support including time and resources. Conclusions: Current fragmented healthcare organization poses barriers for network-broad QI with outcome data, but also offers opportunities for learning strategies. Furthermore, joint learning could improve collaboration to catalyse the journey towards integrated, value-based care

    Exploring the applicability of the pregnancy and childbirth outcome set: A mixed methods study

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    Objective: The International Consortium for Health Outcomes Measurement developed the Pregnancy and Childbirth (PCB) outcome set to improve value-based perinatal care. This set contains clinician-reported outcomes and patient-reported outcomes. We validated the set for use in the Netherlands by exploring its applicability among all end-users prior to implementation. Methods: A mixed-methods design was applied. A survey was performed to assess patients (n = 142), professionals (n = 134) and administrators (n = 35) views on the PCB set. To further explore applicability, separate focus groups were held with representatives of each of these groups. Results: The majority of survey participants agreed that the PCB set contains the most important outcomes. Patient-reported experience measures were considered relevant by the majority of participants. Perceived relevance of patient-reported outcome measures varied. Main themes from the focus groups were content of the set, data collection timing, implementation (also IT and transparency), and quality-based governance. Conclusion: This study supports suitability of the PCB outcome set for implementation, evaluation of quality of care and shared decision making in perinatal care. Practice Implications: Implementation of the PCB set may change existing care pathways of perinatal care. Focus on transparency of outcomes is required in order to achieve quality-based governance with proper IT solutions

    Standardized outcome measures for pregnancy and childbirth, an ICHOM proposal

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    Background: Value-based health care aims to optimize the balance of patient outcomes and health care costs. To improve value in perinatal care using this strategy, standard outcomes must first be defined. The objective of this work was to define a minimum, internationally appropriate set of outcome measures for evaluating and improving perinatal care with a focus on outcomes that matter to women and their families. Methods: An interdisciplinary and international Working Group was assembled. Existing literature and current measurement initiatives were reviewed. Serial guided discussions and validation surveys provided consumer input. A series of nine teleconferences, incorporating a modified Delphi process, were held to reach consensus on the proposed Standard Set. Results: The Working Group selected 24 outcome measures to evaluate care during pregnancy and up to 6 months postpartum. These include clinical outcomes such as maternal and neonatal mortality and morbidity, stillbirth, preterm birth, birth injury and patient-reported outcome measures (PROMs) that assess health-related quality of life (HRQoL), mental health, mother-infant bonding, confidence and success with breastfeeding, incontinence, and satisfaction with care and birth experience. To support analysis of these outcome measures, pertinent baseline characteristics and risk factor metrics were also defined. Conclusions: We propose a set of outcome measures for evaluating the care that women and infants receive during pregnancy and the postpartum period. While validation and refinement via pilot implementation projects are needed, we view this as an important initial step towards value-based improvements in care

    PROMs and PREMs in routine perinatal care: mixed methods evaluation of their implementation into integrated obstetric care networks

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    Background: In the transition towards value-based healthcare, patient-reported outcome and experience measures (PROM and PREM) are recommended by international collaborations and government programs to guide clinical practice and quality improvement. For many conditions, using PROM/PREM over the complete continuum of care requires implementation across care organizations and disciplines. Along PROM/PREM implementation in obstetric care networks (OCN), we aimed to evaluate implementation outcomes and the processes influencing these outcomes in the complex context of care networks across the continuum of perinatal care. Methods: Three OCN in the Netherlands implemented PROM/PREM in routine practice, using an internationally developed outcomes set with care professionals and patient advocates. Their aim was to use PROM/PREM results individually to guide patient-specific care decisions and at group-level to improve quality of care. The implementation process was designed following the principles of action research: iteratively planning implementation, action, data generation and reflection to refine subsequent actions, involving both researchers and care professionals. During the one-year implementation period in each OCN, implementation outcomes and processes were evaluated in this mixed-methods study. Data generation (including observation, surveys and focus groups) and analysis were guided by two theoretical implementation frameworks: the Normalization Process Theory and Proctor’s taxonomy for implementation outcomes. Qualitative findings were supplemented with survey data to solidify findings in a broader group of care professionals. Results: Care professionals in OCN found the use of PROM/PREM acceptable and appropriate, recognized their benefits and felt facilitated in their patient-centered goals and vision. However, feasibility for daily practice was low, mainly due to IT issues and time constraints. Hence PROM/PREM implementation did not sustain, but strategies for future PROM/PREM implementation were formulated in all OCN. Processes contributing positively to implementation outcomes were internalization (understand the value) and initiation (driven by key-participants), whereas challenges in relational integration (maintain confidence) and reconfiguration (refine activities) affected implementation negatively. Conclusion: Although implementation did not sustain, network-broad PROM/PREM use in clinic and quality improvement matched professionals’ motivation. This study provides recommendations to implement PROM/PREM meaningfully in practice in ways that support professionals in their drive towards patient-centered care. In order for PROM/PREM to fulfill their potential for value-based healthcare, our work highlights the need for sustainable IT infrastructures, as well as an iterative approach to refine their complex implementation into local contexts

    Perspectives, preferences and needs regarding early prediction of preeclampsia in Dutch pregnant women: A qualitative study

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    Background: To improve early risk-identification in pregnancy, research on prediction models for common pregnancy complications is ongoing. Therefore, it was the aim of this study to explore pregnant women's perceptions, preferences and needs regarding prediction models for first trimester screening for common pregnancy complications, such as preeclampsia, to support future implementation. Method: Ten focus groups (of which five with primiparous and five with multiparous women) were conducted (n = 45). Six focus groups were conducted in urban regions and four in rural regions. All focus group discussions were audio taped and NVIVO was used in order to facilitate the thematic analysis conducted by the researchers. Results: Women in this study had a positive attitude towards first trimester screening for preeclampsia using prediction models. Reassurance when determined as low-risk was a major need for using the test. Self-monitoring, early recognition and intensive monitoring were considered benefits of using prediction models in case of a high-risk. Women acknowledged that high-risk determination could cause (unnecessary) anxiety, but it was expected that personal and professional interventions would level out this anxiety. Conclusion: Women in this study had positive attitudes towards preeclampsia screening. Self-monitoring, together with increased alertness of healthcare professionals, would enable them to take active actions to improve pregnancy outcomes. This attitude enhances the opportunities for prevention, early recognition and treatment of preeclampsia and probably other adverse pregnancy outcomes

    Perspectives, preferences and needs regarding early prediction of preeclampsia in Dutch pregnant women : a qualitative study

    No full text
    BACKGROUND: To improve early risk-identification in pregnancy, research on prediction models for common pregnancy complications is ongoing. Therefore, it was the aim of this study to explore pregnant women's perceptions, preferences and needs regarding prediction models for first trimester screening for common pregnancy complications, such as preeclampsia, to support future implementation. METHOD: Ten focus groups (of which five with primiparous and five with multiparous women) were conducted (n = 45). Six focus groups were conducted in urban regions and four in rural regions. All focus group discussions were audio taped and NVIVO was used in order to facilitate the thematic analysis conducted by the researchers. RESULTS: Women in this study had a positive attitude towards first trimester screening for preeclampsia using prediction models. Reassurance when determined as low-risk was a major need for using the test. Self-monitoring, early recognition and intensive monitoring were considered benefits of using prediction models in case of a high-risk. Women acknowledged that high-risk determination could cause (unnecessary) anxiety, but it was expected that personal and professional interventions would level out this anxiety. CONCLUSION: Women in this study had positive attitudes towards preeclampsia screening. Self-monitoring, together with increased alertness of healthcare professionals, would enable them to take active actions to improve pregnancy outcomes. This attitude enhances the opportunities for prevention, early recognition and treatment of preeclampsia and probably other adverse pregnancy outcomes

    Development of microreactors in LTCC technology for biodiesel production.

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    O escopo deste trabalho foi o desenvolvimento de microrreatores em tecnologia LTCC para produção de biodiesel, com foco na otimização de uma geometria de micromisturador. Esta proposta é resultado das oportunidades identificadas em três áreas do conhecimento: Microtecnologia, Intensificação de processos e Biocombustíveis. A principal ferramenta de desenvolvimento desta proposta é a fluidodinâmica computacional. Os microcanais baseados em geometrias com sucessivos cotovelos foram os escolhidos, para a investigação computacional e experimental. A metodologia computacional desenvolvida para alcançar os objetivos propostos envolve as etapas de: definição de um padrão de comparação, projeto das distâncias entre cotovelos, escolha de uma geometria com base na comparação entre diversas geometrias baseadas em sucessivos cotovelos e a otimização da geometria em função dos parâmetros fluidodinâmicos. Paralelamente, ensaios para a produção de biodiesel foram realizados, bem como, a investigação da produção de emulsões para avaliar como uma etapa do processo de produção do biodiesel. A geometria escolhida e otimizada foi a serpentina 3D, o que permitiu a otimização do módulo de tempo de residência e o projeto do microrreator. Finalizando, um microrreator foi projetado com parâmetros ótimos, obtendo assim a intensificação de processo por meio de conceitos de microtecnologia, para aplicação na produção de biocombustíveis.The scope of this work was the development of microreactors in LTCC technology for biodiesel production, with a focus on the optimization of a micromixer geometry. This proposal is resulted from the opportunities identified in three areas of knowledge: Microtechnology, processes intensification and Biofuels. The main tool for development of this proposal is the computational fluid dynamics (CFD). The microchannels geometry with successive elbows were chosen for computational and experimental research. The computational methodology developed to achieve the proposed goals involves the following steps: defining a standard of comparison, a project of the distances between elbows, a choice of geometry based on the comparison between different geometries based on successive elbows and geometry optimization for the parameters hydrodynamic. In addition, tests for the production of biodiesel were being made and the investigations of production of emulsions to evaluate a step in the producing of biodiesel process. The geometry was chosen and optimized serpentine 3D, allowing the optimization of residence time module and the design of the microreactor. Finally, a microreactor was designed with optimal parameters, thus obtaining the intensification process through microtechnology concepts for application in the biofuels production

    Absolute first trimester cell-free DNA levels and their associations with adverse pregnancy outcomes

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    OBJECTIVE: To study associations of first trimester cell-free fetal DNA levels (in this paper referred to as cell-free placental DNA (cfpDNA) levels) and preeclampsia (PE), pregnancy-induced hypertension (PIH), gestational diabetes (GDM) and spontaneous preterm birth (sPB). METHOD: A nested case-control study was conducted in first trimester samples (gestational age 8(+0) -13(+6)  weeks). A total of 226 cases and 301 controls were included. CfpDNA levels were quantified in male-bearing pregnancies using real-time DYS14-PCRs on DNA isolated from maternal serum. CfpDNA multiples of the median (MoMs) were calculated based on associations with patient characteristics (body mass index, parity, ethnicity and smoking). Associations between MoMs and adverse outcomes were studied. RESULTS: Cell-free placental DNA levels were negatively associated with body mass index (β = -0.297, p < 0.001) and smoking (β = -0.163, p = 0.006). MoMs were lower in women who later developed PIH (n = 84, p = 0.009) or GDM (n = 56, p = 0.037). There was no association between cfpDNA MoMs and PE (n = 37, p = 0.15) or sPB (n = 49, p = 0.19). CfpDNA was positively correlated with pregnancy-associated plasma protein A (r = 0.426, p < 0.001) but not with placental growth factor (r = 0.059, p = 0.179). CONCLUSION: Adjusted first trimester cfpDNA levels are associated with PIH and GDM but probably not with PE or sPB. © 2016 John Wiley & Sons, Ltd
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