RESUMEN
Tracheoesophageal (TE) puncture with voice prosthesis placement is a common method for vocal rehabilitation in patients who have undergone total laryngectomy. Tracheoesophageal voice prosthesis (TEP) placement after laryngectomy, known as secondary TE puncture, is traditionally done in the operating room, using rigid esophagoscopy. Traditional secondary TEP placement carries a number of downsides including risks associated with general anesthesia, high cost, and technical challenges associated with anatomical variables. As a result, in-office secondary TE puncture has become an increasingly utilized procedure with many advantages but currently lacks standardization. Here, we describe a kit-based, awake, in-office secondary TE puncture with primary TEP placement technique. This technique calls for an endoscopic snare in the event there is difficulty passing the guidewire in the cranial trajectory. No surgical technique videos demonstrating in-office secondary TE puncture currently exist. Here, we present a video tutorial of our technique, breaking down the procedure into 10 steps from analgesia to voicing.
Asunto(s)
Implantación de Prótesis , Vigilia , Humanos , Anestesia General , Esofagoscopía , PuncionesRESUMEN
PURPOSE: Exercise-based treatments may improve swallowing safety and efficiency; yet, it is not clearly understood which factors predict nonadherence to recommended treatment protocols. The aim of this study was to construct an algorithm for stratifying risk of nonadherence to a lingual strengthening dysphagia treatment program. METHOD: Using recursive partitioning, we created a classification tree built from a pool of sociodemographic, clinical, and functional status indicators to identify risk groups for nonadherence to an intensive lingual strengthening treatment program. Nonadherence, or noncompletion, was defined as not completing two or more follow-up sessions or a final session within 84 days. RESULTS: The study cohort consisted of 243 Veterans enrolled in the Intensive Dysphagia Treatment program across six sites from January 2012 to August 2019. The overall rate of nonadherence in this cohort was 38%. The classification tree demonstrated good discriminate validity (C-statistic = 0.74) and contained eight groups from five variables: primary diagnosis, marital status, Penetration-Aspiration Scale (PAS) severity score, race/ethnicity, and age. Nonadherence risk was categorized as high (range: 69%-77%), intermediate (27%-33%), and low risk (≤ 13%-22%). CONCLUSIONS: This study identified distinct risk groups for nonadherence to lingual strengthening dysphagia rehabilitation. Additional research is necessary to understand how these factors may drive nonadherence. With external validation and refinement through prospective studies, a clinically relevant risk stratification tool can be developed to identify patients who may be at high risk for nonadherence and provide targeted patient support to mitigate risk and provide for unmet needs.
Asunto(s)
Trastornos de Deglución , Humanos , Estudios Prospectivos , Deglución , Factores de RiesgoRESUMEN
Purpose Conceptual models of complex health problems are useful when designing targeted clinical interventions and focused research studies. Understanding and studying patient adherence often involves interplay among many factors that influence whether a patient successfully follows recommendations or completes a therapy program. Functional frameworks serve to arrange these factors visually, increasing interpretability and allowing for empirical testing of relationships among concepts. The purpose of this article is to integrate relevant factors from the literature into a comprehensive framework that describes adherence to dysphagia treatment. Method Using peer-reviewed, published guidelines regarding conceptual model construction, the authors created a list of potential factors that influence patient adherence to dysphagia-related treatment recommendations. During model construction, following extensive review of the literature and existing theories that have been applied in other areas of health care, factors were identified and grouped into conceptually similar domains (clusters). Clusters were arranged into larger categories that emerged during model optimization. Ultimately, two models were created: one that illustrates the interrelated factors of patient adherence and another that illustrates a subset of modifiable risk factors that a clinical speech-language pathologist may influence when developing a dysphagia treatment plan. Results Three general categories from 14 factors emerged based on relationships between factors and aspects of patient care: health factors, individual patient factors, and contextual factors. A second model consisting of modifiable risk factors included access, treatment type, patient perceptions, self-efficacy, health literacy, support factors, and provider bias. Conclusions This conceptual model allows clinicians and researchers to identify and explore the mechanisms driving adherence. Continual refinements of this model should be made as future studies uncover how the interconnectedness of factors affects adherence in dysphagia management. The models we have presented here are ready for clinical application and should also serve researchers as they generate hypotheses and design targeted research questions.