Evaluation of Communities of Practice performance developing implementation research to enhance maternal health decision-making in Mexico and Nicaragua.
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ABSTRACT:
SUBMITTER: Alcalde-Rabanal JE
PROVIDER: S-EPMC5848447 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
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Evaluation of Communities of Practice performance developing implementation research to enhance maternal health decision-making in Mexico and Nicaragua.
Alcalde-Rabanal Jacqueline E JE Becerril-Montekio Victor M VM Langlois Etienne V EV
Implementation science : IS 20180312 1
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Project description:Background. Although effective interventions for shared decision making (SDM) exist, there is a lack of uptake of these tools into clinical practice. "Nudges," which draw on behavioral economics and target automatic thinking processes, are used by policy makers to influence population-level behavior change. Nudges have not been applied in the context of SDM interventions but have potential to influence clinician motivation, a primary barrier to long-term adoption of SDM tools. Objective. Describe, evaluate, and propose recommendations for the use of a behavioral economics framework (MINDSPACE) on clinician motivation and behavior during implementation of a validated decision aid (DA) for left ventricular assist device at nine hospitals. Methods. Qualitative thematic analysis of process notes from stakeholder meetings during the first 6 months of implementation to identify examples of how the MINDSPACE framework was operationalized. Quantitative implementation progress was evaluated using the RE-AIM framework. Results. MINDSPACE components were translated into concrete approaches that leveraged influential stakeholders, fostered ownership over the DA and positive emotional associations, spread desirable norms across sites, and situated the DA within established default processes. DA reach to eligible patients increased from 9.8% in the first month of implementation to 70.0% in the sixth month. Larger gains in reach were observed following meetings using MINDSPACE approaches. Limitations. The MINDSPACE framework does not capture all possible influences on behavior and responses to nudges may differ across populations. Conclusions. Behavioral economics can be applied to implementation science to foster uptake of SDM tools by increasing clinician motivation. Our recommendations can help other researchers effectively apply these approaches in real-world settings when there are often limited incentives and opportunities to change organizational- or structural-level factors.
| S-EPMC7227151 | biostudies-literature
Project description:Shared decision-making (SDM) involves patients in choosing their treatment or care options. SDM enhances patient engagement and treatment satisfaction. SDM has proved difficult to implement and sustain in routine clinical practice, hence a supportive tool is needed. This quality improvement study focuses on the development of a generic tool, labeled SDM:KOMPASS, which is intended to support hospital settings by facilitating the visualization of their formative progress and the setting of goals for the SDM implementation into routine clinical practice. The main objective of the present paper is to describe the development of this generic tool. A six-step development process was performed to develop a tool and investigate the tool's overall perceived usability. Qualitative methods, such as observations, individual and focus group interviews, provided insights. A 10-item quantitative survey gauged informants' immediate attitudes towards the tool. Purposefully sampled informants (N = 20), including healthcare professionals and patients, contributed diverse perspectives regarding; 1) The tool's readability and clarity, 2) the construct's domains and content, and 3) the tool's perceived usability. In alignment with real-world challenges, SDM:KOMPASS emerges as a potentially valuable resource for healthcare organizations embedding SDM. The six-step development process revealed how the tool SDM:KOMPASS has potential to enhance SDM implementation's manageability, goal-setting, and focus. Professionals engaged in strategic implementation within somatic and mental hospital departments find the tool potentially beneficial and feasible. The tool shows promise and usability but requires careful attention due to its comprehensiveness. The next step is to alpha test the tool in clinical practice.
| S-EPMC11573207 | biostudies-literature
Project description:Shared decision making (SDM) is not widely practiced in routine care due to a variety of organizational, provider, patient, and contextual factors. This article explores how implementation science-which encourages attention to the multilevel contextual factors that influence the adoption, implementation, and sustainment of health care practices-can provide useful insights for increasing SDM use in routine practice. We engaged with stakeholders representing different organizations and geographic locations over three phases: 1) multidisciplinary workgroup meeting comprising researchers and clinicians (n = 11); 2) survey among a purposive sample of 47 patient advocates, clinicians, health care system leaders, funders, policymakers, and researchers; and 3) working session among diverse stakeholders (n = 30). The workgroup meeting identified priorities for action and research, which included targeting multiple audiences and levels, shifting culture toward valuing and supporting SDM, and considering contextual factors influencing SDM implementation. Survey respondents provided recommendations for increasing adoption, implementation, and maintenance of SDM in practice including providing tools to support SDM, obtaining stakeholders' involvement, and raising awareness of the importance of SDM. Stakeholders in the working session provided recommendations on the design of a guide for implementation of SDM in clinical settings, strategies to disseminate educational curricula on SDM, and strategies to influence policies to increase SDM use. These specific recommendations serve as a call to action to pursuing specific promising strategies aimed at increasing SDM use in practice and enhance understanding of the perspectives of diverse stakeholders at multiple levels from an implementation science perspective that appear fruitful for further study and application.
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Project description:Physicians face a challenge in promoting colorectal cancer screening (CRCS) in the face of multiple competing demands. A decision aid (DA) that clarifies patient preferences and improves decision quality could aid shared decision making (SDM) and be effective at increasing CRCS rates. However, exactly how such DA improves SDM is not clear. This 4-year R01 study funded by the National Cancer Institute seeks to provide detailed understanding of how an interactive DA affects patient-physician communication and SDM, and ultimately CRCS adherence.
| 2118961 | ecrin-mdr-crc
Project description:OBJECTIVE:To review methodology informing evidence-based guideline development and integration of guidelines into clinical care through shared decision-making (SDM) and highlight challenges to SDM in disorders of consciousness. METHODS:We describe guideline development strategies and implications for use, approaches to SDM generally and with surrogate decision makers, and considerations when implementing the prolonged disorders of consciousness guideline into clinical care. RESULTS:Clinical practice guidelines aim to improve high-quality patient care and outcomes by assessing the best medical evidence and incorporating this into care recommendations. This is accomplished through transparent methodology and compliance with published standards. Guidelines support SDM with patients and surrogate decision makers. Effective SDM can be challenging in conditions such as prolonged disorders of consciousness where surrogates are required, but assessment of patient values and incorporation of these values into SDM is ethically critical. CONCLUSIONS:Recently published disorders of consciousness guideline recommendations provide strategies for clinicians to enhance quality care for individuals with prolonged disorders of consciousness. They also provide details helping clinicians partner with individuals with disorders of consciousness and their surrogates. Further research is needed into many aspects of caring for individuals with disorders of consciousness and optimal strategies for partnering with surrogates in decision-making.
| S-EPMC6506174 | biostudies-literature
Project description:BackgroundWhereas the National Comprehensive Cancer Network (NCCN) criteria restrict germline-genetic testing (GGT) to a subset of breast cancer (BC) patients, the American Society of Breast Surgeons recommends universal GGT. Although the yield of pathogenic germline variants (PGV) in unselected BC patients has been studied, the practicality and utility of incorporating universal GGT into routine cancer care in community and rural settings is understudied. This study reports real-world implementation of universal GGT for patients with breast cancer and genetics-informed, treatment decision-making in a rural, community practice with limited resources.MethodsFrom 2019 to 2022, all patients with breast cancer at a small, rural hospital were offered GGT, using a genetics-extender model. Statistical analyses included Fisher's exact test, t-tests, and calculation of odds ratios. Significance was set at p < 0.05.ResultsOf 210 patients with breast cancer who were offered GGT, 192 (91.4%) underwent testing with 104 (54.2%) in-criteria (IC) and 88 (45.8%) out-of-criteria (OOC) with NCCN guidelines. Pathogenic germline variants were identified in 25 patients (13.0%), with PGV frequencies of 15 of 104 (14.4%) in IC and ten of 88 (11.4%) in OOC patients (p = 0.495). GGT informed treatment for 129 of 185 (69.7%) patients.ConclusionsUniversal GGT was successfully implemented in a rural, community practice with > 90% uptake. Treatment was enhanced or de-escalated in those with and without clinically actionable PGVs, respectively. Universal GGT for patients with breast cancer is feasible within rural populations, enabling optimization of clinical care to patients' genetic profile, and may reduce unnecessary healthcare, resource utilization.
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Project description: Not available
| S-EPMC9796783 | biostudies-literature
Project description:BackgroundShared decision-making has received national and international interest by providers, educators, researchers, and policy makers. The literature on shared decision-making is extensive, dealing with the individual components of shared decision-making rather than a comprehensive process. This view of shared decision-making leaves healthcare providers to wonder how to integrate shared decision-making into practice.ObjectiveTo understand shared decision-making as a comprehensive process from the perspective of the patient and provider in all healthcare settings.MethodsAn integrative review was conducted applying a systematic approach involving a literature search, data evaluation, and data analysis. The search included articles from PubMed, CINAHL, the Cochrane Central Register of Controlled Trials, and PsycINFO from 1970 through 2016. Articles included quantitative experimental and non-experimental designs, qualitative, and theoretical articles about shared decision-making between all healthcare providers and patients in all healthcare settings.ResultsFifty-two papers were included in this integrative review. Three categories emerged from the synthesis: (a) communication/ relationship building; (b) working towards a shared decision; and (c) action for shared decision-making. Each major theme contained sub-themes represented in the proposed visual representation for shared decision-making.ConclusionA comprehensive understanding of shared decision-making between the nurse and the patient was identified. A visual representation offers a guide that depicts shared decision-making as a process taking place during a healthcare encounter with implications for the continuation of shared decisions over time offering patients an opportunity to return to the nurse for reconsiderations of past shared decisions.
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Project description:Stressful conditions experienced during early development can have deleterious effects on offspring morphology, physiology and behaviour. However, few studies have examined how developmental stress influences an individual's cognitive phenotype. Using a viviparous lizard, we show that the availability of food resources to a mother during gestation influences a key component of her offspring's cognitive phenotype: their decision-making. Offspring from females who experienced low resource availability during gestation did better in an anti-predatory task that relied on spatial associations to guide their decisions, whereas offspring from females who experienced high resource availability during gestation did better in a foraging task that relied on colour associations to inform their decisions. This shows that the prenatal environment can influence decision-making in animals, a cognitive trait with functional implications later in life.
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Project description:To simplify chemical risk assessment, the adverse outcome pathway (AOP) method has arisen as a framework to predict the impact of chemical exposure on human and environmental health. The development of this predictive tool requires knowledge of the molecular interaction between chemicals and protein targets. Here, we demonstrate that the identification and selection of a target candidate to develop adverse outcome pathways can be obtained by applying high-throughput identification of chemical targets by proteome integral solubility alteration (PISA) assay, followed by selecting the priority target candidate by an analytical hierarchy process. From 8 identified protein targets for TCDD from a soluble proteome extracted from hepatocytes, we selected the priority target for developing AOPs. Our combined methodologies provide identification of a molecular initiating event, essential knowledge to link molecular interaction to impact on health. The identification of chemical targets following a systematic analysis of chemical protein interaction by proteomics increases the high-throughput and reduces the traditional bias. The target selection eliminates conflicting criteria by applying a multiple-criteria decision-making analysis.
2023-03-11 | PXD033056 | Pride