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Enregistrement W2770415197 · doi:10.1182/blood.v128.22.5919.5919

Development, Implementation, and Testing of a Web Based Decision Aid for Facilitating Shared Decision Making for Disease Modifying Therapies for Sickle Cell Disease

2016· article· en· W2770415197 sur OpenAlexaboutno aff
Lakshmanan Krishnamurti, Diana Ross, Nitya Bakshi, Kirshma Khemani, Cynthia Sinha, George Loewenstein

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineDiseasePsychological interventionPopulationHealth careDisadvantagePatient participationIntensive care medicineNursingInternal medicineEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Abstract Background Sickle cell disease (SCD) is associated with substantial morbidity, and premature mortality. Hydroxyurea (Hu), chronic blood transfusion and hematopoietic stem cell transplantation (HCT) can modify the course of this disease, reduce complications, and improve survival. These interventions are diverse in their therapeutic intent, but are all associated with substantial burden of care, signfiicant side effects and the potential for late complications. The complexity inherent in making decisons about these disease modifying therapies is compounded by the socioeconomic disadvantage experienced by this largely minority, underserved population. That despite proven efficacy in clinical trials, uptake and adherence with HU remains poor, and that only a small proportion of eligible patients undergo HCT underscores the difficulty in making these decisions. The objective of this study was to use a theory based systematic approach to develop, implement and test a web based decision aid to support patients and caregivers in shared decision making regarding disease modifying therapies for SCD.The theoretical basis for this project is the Ottawa decision support framework( ODSF), an evidence-based, practical, mid-range theory for guiding patients making health or social decisions which uses a three-step process to assess client and practitioner determinants of decisions to identify decision support needs; provide decision support tailored to client needs and evaluate the decision making process and outcomes. Methods Following the ODSF, we conducted qualitative interviews of patients with SCD, their caregivers, policymakers, community advocates and healthcare providers and other stakeholders. Subjects were recruited at multiple regional and national SCD conferences which draw a mix of patients and professional audience. Interviews lasted 30-40 minutes and were transcribed verbatim, transcripts were coded using QSR NVivo 10 and analyzed using qualitative mixed methods. Themes from qualitative interviews were incorporated into the each of the following phases of the project: Phase 1: Qualitative interviews for needs assessment to facilitate the description of the participants' experiences in seeking information about and making decisions related to SCD and utilizing both open and closed-ended questions. Phase 2: Data synthesis, and construction of a storyboard, draft content, draft design and format for the decision aid. Phase 3: Alpha testing for quality and error correction. Extensive modifications were carried out systematically incorporating the recommendations received. Phase 4: Iterative cylces of Beta testing for feasibility, comprehensibility and usability with qualitative interviews and observations and incorporated recommendations. Phase5: Peer-review of the finalized decision aid by stakeholders who had not participated in the development of the instrument and had not previously examined the website. Results Needs assessment qualitative interviews with 205 individuals yielded information on decisional needs, preferences regarding content, presentation and ease of use as well as a distinct preference to learn from the experience of other patients and guided the devlopemnt of the decision aid. Alpha testing for quality and error correction was conducted with 51 patients / family members, clinicians, health educators and policy makers. Beta testing for feasiblity, comprehensibilty, and usability was completed by a total 111 participants. Peer review by 60 providers, patients and stakeholders of the final decision aid (www.sickleoptions.org) indicated a high level of satisfaction with the content, presentation, ease of use, use of graphics and the use of patient testimonials. We have enrolled and are gathering data on 120 subjects in a randomized clinical trial to evaluate the impact of the decion aid on clinical decision making. Conclusions This stiudy provides empirical evidence about the successful process of creating, implementing and testing a web based decision aid for patients to guide shared decision making in disease modifying therapy for SCD. It provides evidence of favorable patient and physician perceptions about the comprehensivility and usability of the decision aid. Results of an ongoing randomized clinical trial will generate additional information about the impact of the decision on clinical decision making. Disclosures No relevant conflicts of interest to declare.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,055
score de la tête « metaresearch » (Gemma)0,091
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,289

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0550,091
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,002
Communication savante0,0030,003
Science ouverte0,0030,004
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,309
Écart entre enseignants0,278 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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