The use of the Panda-Nerve Block pain app in single-shot peripheral nerve block patients: a feasibility study.

PURPOSE: Peripheral nerve blocks (PNBs) provide excellent perioperative analgesia but can increase the risk of severe postoperative pain once the block wears off. Poor adherence to discharge instructions may increase this risk. Panda-Nerve Block (Panda) is an app that alerts the patient to assess their PNB, score their pain, and take scheduled pain medication. We assessed the usability and feasibility of Panda for assisting patients after receiving a PNB. METHODS: Twenty-nine patients tested Panda in three rounds, for two to seven days, postoperatively to assess and manage their pain and PNB. Feedback was provided via phone interview and the Computer System Usability Questionnaire (CSUQ). Additionally, each user's usage log was analyzed for parameters such as alert response times. Feasibility was determined by alert responses that occurred before the next alert, with a goal of greater than 50%. User adherence was measured as percentage compliance with alerts within one hour; usability and user satisfaction were determined from the CSUQ and interviews. RESULTS: A median [interquartile range (IQR)] of 68 [34-93]% responded before the next alert during the first 48 hr of app use, and 83 [54-92]% responded before the next alert with 87 [75-96]% of these within one hour. There were no significant differences in usage between rounds. Ninety-three percent of patients reported Panda to be easy to use and helpful, and 79% of patients would use Panda again. Critical themes included changes to the layout and appearance, clarification of the language of the PNB check, and requests for dynamic adjustments to the medication schedule based on user responses. CONCLUSION: Panda-Nerve Block is a feasible method for PNB patients to manage postoperative pain with a high response rate. Future work should include providing two-way communication for patients and clinicians and assessing its effect on pain outcomes. TRIAL REGISTRATION: www.clinicaltrials.gov (NCT03369392); registered 5 December 2017.

RéSUMé: OBJECTIF: Les blocs nerveux périphériques (BNP) procurent une excellente analgésie périopératoire mais peuvent augmenter le risque de douleur postopératoire élevée une fois que le bloc disparait. Un mauvais respect des instructions de congé pourrait augmenter ce risque. L'application Panda (Panda-Nerve Block) avertit le patient afin qu'il évalue son BNP, quantifie sa douleur, et prenne ses médicaments analgésiques prescrits. Nous avons évalué la facilité d'utilisation et la faisabilité de l'application Panda pour aider les patients ayant reçu un BNP. MéTHODE: Vingt-neuf patients ont testé l'application Panda en trois itérations de deux à sept jours après leur opération afin d'évaluer et de prendre en charge leur douleur et le BNP. Les rétroactions étaient partagées par entretien téléphonique et via le Questionnaire sur la convivialité du système informatique (CSUQ - Computer System Usability Questionnaire). En outre, le journal d'utilisation de chaque utilisateur a été analysé pour en étudier certains paramètres tels que les temps de réponse aux alertes. La faisabilité était déterminée par les réponses aux alertes survenant avant la prochaine alerte, avec un objectif de plus de 50 %. L'observance des utilisateurs était mesurée en tant que pourcentage de conformité aux alertes dans l'heure suivante; la facilité d'utilisation et la satisfaction des utilisateurs étaient déterminées à partir du CSUQ et des entretiens. RéSULTATS: En moyenne [écart interquartile (ÉIQ)], 68 [34­93] % des patients ont répondu avant la prochaine alerte au cours des premières 48 h d'utilisation de l'application, et 83 [54­92] % ont répondu avant la prochaine alerte, avec 87 [75­96] % de ces patients dans l'heure qui suivait. Il n'y a pas eu de différence significative dans l'utilisation entre les itérations. Quatre-vingt-treize pour cent des patients ont rapporté qu'ils trouvaient l'application Panda conviviale et utile, et 79 % l'utiliseraient à nouveau. Les critiques comprenaient des modifications de la disposition et de l'apparence de l'application, la clarification du langage lors des vérifications du BNP, et des demandes pour des ajustements dynamiques du traitement selon les réponses des utilisateurs. CONCLUSION: L'application Panda constitue une méthode possible de prise en charge de la douleur postopératoire pour les patients ayant reçu un BNP, avec un taux de réponse élevé. Les travaux futurs devraient inclure la fourniture d'une communication bidirectionnelle pour les patients et les cliniciens et l'évaluation de l'effet de l'utilisation de l'application sur des devenirs de douleur. ENREGISTREMENT DE L'éTUDE: www.clinicaltrials.gov (NCT03369392); enregistrée le 5 décembre 2017.

The evaluation of smartphone versions of the visual analogue scale and numeric rating scale as postoperative pain assessment tools: a prospective randomized trial.

PURPOSE: The Pain assessment using a novel digital application (Panda) is a smartphone application that contains the digital versions of the visual analogue scale (VAS-100) and numeric rating scale (NRS-11). This study aimed to investigate if the Panda versions of these two pain scales are equivalent to the paper versions in adult patients. METHODS: This was a prospective, randomized, cross-over-controlled trial of subjects aged 19-75 yr undergoing procedures with anticipated post-surgical pain. Each subject used both the Panda and paper versions of VAS-100 or NRS-11 pain scores after emergence from anesthesia and after meeting postanesthesia care unit (PACU) discharge criteria. Correlations between the two tools were analyzed, and Bland-Altman agreement was calculated. The smartphone and paper versions were considered equivalent at each time point if the differences (and their 95% confidence interval [CI]) between them were less than 20 points for the VAS-100 and 2.1 for NRS-11. RESULTS: The two versions of the VAS-100 correlated strongly after emergence (Pearson's r = 0.93; P < 0.001) and upon meeting discharge criteria (r = 0.94; P < 0.001); the mean (standard deviation [SD]) Panda score after emergence was 35 (27) compared with the paper score of 37 (26) (mean difference, - 2; 95% CI, - 22 to 19). The mean (SD) VAS-100 Panda score upon meeting discharge criteria was 21 (20) compared with the paper score of 23 (21) (mean difference, - 2; 95% CI, - 17 to 13). For the NRS-11, Panda again correlated strongly with the original tool scores after emergence (r = 0.93; P < 0.001) and upon meeting discharge criteria (r = 0.96; P < 0.001); the mean (SD) Panda and paper scores after emergence were both 4 (3) (mean difference, 0.05; 95% CI, - 1.87 to 1.96). The mean (SD) NRS-11 Panda and paper scores upon meeting PACU discharge criteria were both 3 (2) (mean difference, - 0.08; 95% CI, - 1.41 to 1.26). CONCLUSION: Following emergence from anesthesia in adult patients, the digital Panda version of the NRS-11, but not the VAS-100, is equivalent to the validated paper version. In those who are ready for discharge from the PACU, the digital Panda versions of both the VAS-100 and NRS-11 agreed adequately and can be used in place of the original paper versions.

The relationship between burnout and depressive symptoms in patients with depressive disorders.

BACKGROUND: Burnout - physical or psychological fatigue in the personal, work and client-related work domains - appears to share numerous overlapping characteristics with major depressive episodes. However, whether burnout and depression are in fact separate conditions is still ambiguous. Our aim was to examine burnout in a clinically depressed patient sample. METHODS: Outpatients with a DSM-IV depressive episode (major depressive episode and dysthymic disorder) completed the Copenhagen Burnout Inventory (CBI) and the Quick Inventory for Depressive Symptomatology, Self-Rated (QIDS-SR). The relationship between CBI-defined burnout and depressive symptoms was examined using correlation and hierarchical multiple regression analyses. RESULTS: Depressed patients had high rates of CBI-defined burnout as well as significant correlations between burnout scores and overall depression severity scores. Individual depressive symptoms were significantly higher between patients with and without burnout, and significantly correlated with burnout scores, with the exception of guilt/worthlessness. Multiple regression analysis identified changes in sleep and fatigue as significant predictors of burnout. LIMITATIONS: The main limitations of the study were the sample size, the broad definition of depression, and the cross-sectional design. CONCLUSIONS: The high burnout scores and correlations between burnout and depression severity observed in this study highlight the importance of understanding burnout in depressed patients. Despite the significant overlap between burnout and depression, the relationship between these two concepts still requires further clarification.