Gravholt, Derek L.

<title>RESUMEN</title> <p>A pesar de que la Práctica Basada en la Evidencia (PBE) ha estandarizado los tratamientos psicológicos, la realidad clínica sigue enfrentándose a una barrera persistente: la dificultad de traducir los resultados de ensayos clínicos grupales a la singularidad de cada paciente en contextos reales. Como respuesta, la Salud Mental de Precisión (SMP) propone una evolución del modelo actual, integrando el cuidado basado en la medición y la toma de decisiones basada en datos para ajustar la intervención a las necesidades específicas de cada persona, gracias en gran medida a desarrollos tecnológicos recientes como la Inteligencia Artificial (IA). En este contexto, el presente artículo persigue dos objetivos fundamentales. En primer lugar, sintetiza los pilares operativos de la SMP, analizando cómo la medición rutinaria y las predicciones algorítmicas pueden potenciar el juicio clínico del profesional. En segundo lugar, se introduce el proyecto NOVA (Navigating Outcomes via Analytics), un proyecto traslacional diseñado para superar las barreras actitudinales, tecnológicas, estadísticas y contextuales de la implementación de herramientas de SMP en España. Se discute sobre los pasos necesarios para cerrar la brecha entre la innovación tecnológica y la práctica asistencial en psicología, acelerando la adopción sostenible de una psicología de precisión en el mundo real.</p>

This article reports on a study to assess the feasibility of research procedures and acceptability of QBSAFE, a set of conversation cards focused on quality of life, treatment burden, safety, and avoidance of future events in people with type 2 diabetes. The study enrolled 84 patients and 7 clinicians. Of the 58 patients who completed questionnaires, 64% agreed that the QBSAFE agenda-setting kit (ASK) helped them discuss their situation, 78% agreed that others could benefit from it, and 38% said they would use it again. Most clinicians felt confident responding to issues (in 89% of encounters) and said they would use the kit again (78%) and recommend it to colleagues (82%). The QBSAFE ASK can be feasibly implemented and holds promise in facilitating discussion and collaborative problem-solving.

Abstract Background: Venous thromboembolism (VTE) in pregnancy is a major cause of maternal morbidity and mortality, and the use of preventive low-molecular-weight heparin (LMWH) can be challenging. Clinical guidelines recommend eliciting pregnant individuals’ preferences towards the use of daily injections of LMWH and discussing the best option through a shared decision-making (SDM) approach. Our aim was to identify individuals’ preferences concerning each of the main clinical outcomes, and categorize attributes influencing the use of LMWH during pregnancy. Methods: Design: Convergent mixed-methods. Participants: Pregnant women or those planning a pregnancy with VTE recurrence risk. Intervention: A SDM intervention about thromboprophylaxis with LMWH in pregnancy. Analysis: Quantitatively, we report preference scores assigned to each of the health states. Qualitatively, we categorized preference attributes using Burke’s pentad of motives framework: scene, agent, agency, act, and purpose. We use mixed-method convergent analysis to report findings using side-by-side comparison of concordance/discordance. Results: The least valued health state was to experience a pulmonary embolism (PE), followed by major obstetrical bleeding (MOB), deep vein thrombosis (DVT), and using daily injections of LMWH (valued as closest to a ‘healthy pregnancy’). Women's previous experiences, access to care (scene) and shared decision-making (agent) affected preferences. LMWH's benefits were noted, but substantial drawbacks described (agency). The main goal was avoiding the risk of VTE (purpose). Side-by-side comparisons revealed concordance between motives and DVT and PE health states. Discordance appeared between using daily injections of LMWH and agent- and agency motives and between MOB and the agency motive. Conclusions: Mixed-methods provide a nuanced understanding of women's LMWH preferences, by quantifying health states preferences and exploring attributes qualitatively. Incorporating both methods may improve patient-centered care around preference-sensitive decisions in thromboprophylaxis during pregnancy.

AbstractIntroductionFor too many people, their care plans are designed without fully accounting for who they are, the lives they live, what matters to them or what they aspire to achieve. We aimed to summarize instruments capable of measuring dimensions of patient–clinician collaboration to make care fit.MethodsWe systematically searched several databases (Medline, Embase, Cochrane, Scopus and Web of Science) from inception to September 2021 for studies using quantitative measures to assess, evaluate or rate the work of making care fit by any participant in real‐life clinical encounters. Eligibility was assessed in duplicate. After extracting all items from relevant instruments, we coded them deductively on dimensions relevant to making care fit (as presented in a recent Making Care Fit Manifesto), and inductively on the main action described.ResultsWe included 189 papers, mostly from North America (N = 83, 44%) and in the context of primary care (N = 54, 29%). Half of the papers (N = 88, 47%) were published in the last 5 years. We found 1243 relevant items to assess efforts of making care fit, included within 151 instruments. Most items related to the dimensions ‘Patient‐clinician collaboration: content’ (N = 396, 32%) and ‘Patient‐clinician collaboration: manner’ (N = 382, 31%) and the least related to ‘Ongoing and iterative process’ (N = 22, 2%) and in ‘Minimally disruptive of patient lives’ (N = 29, 2%). The items referred to 27 specific actions. Most items referred to ‘Informing’ (N = 308, 25%) and ‘Exploring’ (N = 93, 8%), the fewest items referred to ‘Following up’, ‘Comforting’ and ‘Praising’ (each N = 3, 0.2%).DiscussionMeasures of the work that patients and clinicians do together to make care fit focus heavily on the content of their collaborations, particularly on exchanging information. Other dimensions and actions previously identified as crucial to making care fit are assessed infrequently or not at all. The breadth of extant measures of making care fit and the lack of appropriate measures of this key construct limit both the assessment and the successful implementation of efforts to improve patient care.Patient ContributionPatients and caregivers from the ‘Making care fit Collaborative’ were involved in drafting the dimensions relevant to patient–clinician collaboration.

Abstract Background Venous thromboembolism (VTE) in pregnancy is a major cause of maternal morbidity and death. The use of low-molecular-weight heparin (LMWH), despite being the standard of care to prevent VTE, comes with some challenges. Shared decision-making (SDM) interventions are recommended to support patients and clinicians in making preference-sensitive decisions. The quality of the SDM process has been widely assessed with the decisional conflict scale (DCS). Our aim is to report participants’ perspectives of each of the components of an SDM intervention (DASH-TOP) in relation to the different subscales of the DCS. Methods Design: A convergent, parallel, mixed-methods design. Participants: The sample consisted of 22 health care professionals, students of an Applied Clinical Research in Health Sciences (ICACS) master program. Intervention: We randomly divided the participants in three groups: Group 1 received one component (evidence -based information), Group 2 received two components (first component and value elicitation exercises), and Group 3 received all three components (the first two and a decision analysis recommendation) of the SDM intervention. Analysis: For the quantitative strand, we used a non-parametric test to analyze the differences in the DCS subscales between the three groups. For the qualitative strand, we conducted a content analysis using the decisional conflict domains to deductively categorize the responses. Results Groups that received more intervention components experienced less conflict and better decision-making quality, although the differences between groups were not statistically significant. The decision analysis recommendation improved the efficacy with the decision-making process, however there are some challenges when implementing it in clinical practice. The uncertainty subscale showed a high decisional conflict for all three groups; contributing factors included low certainty of the evidence-based information provided and a perceived small effect of the drug to reduce the risk of a VTE event. Conclusions The DASH-TOP intervention reduced decisional conflict in the decision -making process, with decision analysis being the most effective component to improve the quality of the decision. There is a need for more implementation research to improve the delivery of SDM interventions in the clinical encounter.

Children with rare or life-limiting chronic conditions and their families are at high risk of psychosocial distress. However, despite its impact on patient and family health and functioning, psychosocial distress and its antecedents may not routinely be captured in medical records. The purpose of this study was to characterize current medical record documentation practices around psychosocial distress among children with rare or life-limiting chronic conditions and their families. Medical records for patients with rare or life-limiting chronic conditions (n = 60) followed by a pediatric complex care program were reviewed. Study team members extracted both structured data elements (e.g., diagnoses, demographic information) and note narratives from the most recent visit with a clinician in the program. Psychosocial topics were analyzed using a mixed quantitative (i.e., frequency counts of topics) and qualitative approach. Topics related to psychosocial distress that were documented in notes included child and parent emotional problems, parent social support, sibling emotional or physical problems, family structure (e.g., whether parents were together), and financial concerns. However, 35% of notes lacked any mention of psychosocial concerns. Although examples of psychosocial concerns were included in some notes, none were present in over one-third of this sample. For both patients with rare or life-limiting chronic conditions and their caregivers, more active elicitation and standard documentation of psychosocial concerns may improve the ability of healthcare providers to identify and intervene on psychosocial concerns and their risk factors.