Communication Course for Pediatric Providers Improves Self-efficacy

Grome, Luke; Banuelos, Rosa; Lopez, Michelle A.; Nicome, Roger; Zandt, Katherine J Leaming-Van

doi:10.1097/gox.0000000000001964

Cited by 8 publications

(3 citation statements)

References 59 publications

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“…Verbal response is the narration and summary of processed web information by the VA. We determined clinically appropriate advice by comparing clinical communication themes found in the VA response and the ACOG FAQ answer. Clinical communication between a provider and patient is the foundation for delivering quality care and is patient-centered, uses plain language without overly complex terms, and, if applicable, provides anticipatory guidance on when to seek medical help [ 18 ]. Two board certified physicians (SY, JL) compared the presence of these 3 themes in the ACOG FAQ answer to the VA response.…”

Section: Methodsmentioning

confidence: 99%

Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana

Yang¹,

Lee²,

Sezgın³

et al. 2021

JMIR Mhealth Uhealth

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Background A voice assistant (VA) is inanimate audio-interfaced software augmented with artificial intelligence, capable of 2-way dialogue, and increasingly used to access health care advice. Postpartum depression (PPD) is a common perinatal mood disorder with an annual estimated cost of $14.2 billion. Only a small percentage of PPD patients seek care due to lack of screening and insufficient knowledge of the disease, and this is, therefore, a prime candidate for a VA-based digital health intervention. Objective In order to understand the capability of VAs, our aim was to assess VA responses to PPD questions in terms of accuracy, verbal response, and clinically appropriate advice given. Methods This cross-sectional study examined four VAs (Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana) installed on two mobile devices in early 2020. We posed 14 questions to each VA that were retrieved from the American College of Obstetricians and Gynecologists (ACOG) patient-focused Frequently Asked Questions (FAQ) on PPD. We scored the VA responses according to accuracy of speech recognition, presence of a verbal response, and clinically appropriate advice in accordance with ACOG FAQ, which were assessed by two board-certified physicians. Results Accurate recognition of the query ranged from 79% to 100%. Verbal response ranged from 36% to 79%. If no verbal response was given, queries were treated like a web search between 33% and 89% of the time. Clinically appropriate advice given by VA ranged from 14% to 29%. We compared the category proportions using the Fisher exact test. No single VA statistically outperformed other VAs in the three performance categories. Additional observations showed that two VAs (Google Assistant and Microsoft Cortana) included advertisements in their responses. Conclusions While the best performing VA gave clinically appropriate advice to 29% of the PPD questions, all four VAs taken together achieved 64% clinically appropriate advice. All four VAs performed well in accurately recognizing a PPD query, but no VA achieved even a 30% threshold for providing clinically appropriate PPD information. Technology companies and clinical organizations should partner to improve guidance, screen patients for mental health disorders, and educate patients on potential treatment.

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Section: Methodsmentioning

confidence: 99%

Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana

Yang¹,

Lee²,

Sezgın³

et al. 2021

JMIR Mhealth Uhealth

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“…18 Studies in Norway and United States exhibited improved SE among doctors after completing a communication skills training course. 27,28 On the other hand, marital status, smoking, and regular exercise showed no significant relationship with the level of SE among HCWs.…”

mentioning

confidence: 93%

Mental Well-Being and Self-Efficacy of Healthcare Workers in Saudi Arabia During the COVID-19 Pandemic

Ali¹,

Al-Rubaki²,

Lubbad³

et al. 2021

RMHP

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Purpose To assess mental well-being (MW), self-efficacy (SE), and their predictors among healthcare workers (HCWs) in Saudi Arabia during the COVID-19 pandemic. Methods Analytical cross-sectional study recruited 1046 HCWs by cluster random sampling technique. Socio-demographic, health, and occupational characteristics were collected for all participants. The WHO five Well-Being Index (WHO-5) and General Self-Efficacy Scale (GSES) were used to assess MW and SE of the participants, respectively. The binary logistic regression model was fit to the dependent (outcomes), namely mental well-being and self-efficacy, and independent other variables (predictors). Results Out of all participants (n=1046), 27.2% had negative MW scores, and 36.6% had low SE scores. The mean scores of both MW and SE were in the normal levels (16.7±5.90 and 31.5±6.63 out of 25 and 40, respectively). Younger and older ages, irregular exercise, nursing professions, history of anxiety and/or depression, lesser years of experience, and longer daily working hours were found to be the main predictors of negative MW and low SE, among study participants. Conclusion Mental well-being (MW) and self-efficacy (SE) of the HCWs in Saudi Arabia are satisfactory but attention should be paid towards supporting the vulnerable groups for promoting the resilience of HCWs during the battle against the current pandemic.

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“…8 In this study, we aim to evaluate the impact of an RCC skills training intervention for pediatric hematology/oncology providers on patient/family experience. Our group has previously demonstrated the ability of this intervention to improve pediatric emergency provider communication as perceived by patients/families and improve provider self-efficacy in pediatric-specific communication skills for multidisciplinary pediatric providers, 15,16 and thus we aimed to determine whether these improvements also translated into an enhanced patient/family experience.…”

Section: Introductionmentioning

confidence: 99%

Relationship-centered communication training for pediatric hematology/oncology providers to improve patient experience

Yost

Banuelos

Shook

et al. 2020

Preprint

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Background Pediatric hematology/oncology providers frequently have challenging discussions with patients/families, yet receive little formal training in communication. Our institution aimed to meet this need with a workshop in relationship-centered communication (RCC), which focuses on empathy, reflective listening, and patient/family understanding. This study evaluates the efficacy of this intervention to improve patient/family experience in healthcare encounters. Procedure Our team at Texas Children's Hospital (TCH), a quaternary care pediatric and women's hospital, developed a 5.5-hour RCC skills workshop in collaboration with the Academy of Communication in Healthcare (ACH). ACH-trained TCH providers led participants in 3 pediatric-specific skill sets that incorporated didactics, role-playing skills practice, and reflective feedback. Patient experience was measured using Press Ganey email surveys (PGS) that were collected for a minimum of 12 months pre-course and 3 months post-course. Results Forty-nine pediatric hematology/oncology providers voluntarily participated in the RCC skills workshop over a 3-year period. The majority of participants were physicians (77.6%), female (85.7%), and in the first 10 years of practice (61.2%). Of the 15 participants who had both pre-and post-course PGS available, scores significantly improved in all areas of the care provider section (P < 0.05). Conclusions RCC skills training improved pediatric hematology/oncology patient/family experience.

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Communication Course for Pediatric Providers Improves Self-efficacy

Abstract: Supplemental Digital Content is available in the text.

Cited by 8 publications

References 59 publications

Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana

Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana

Mental Well-Being and Self-Efficacy of Healthcare Workers in Saudi Arabia During the COVID-19 Pandemic

Relationship-centered communication training for pediatric hematology/oncology providers to improve patient experience

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