A Mobile Applet for Assessing Medication Adherence and Managing Adverse Drug Reactions Among Patients With Cancer: Usability and Utility Study

HumanInsight A Mobile Applet for Assessing Medication Adherence and Managing Adverse Drug Reactions Among Patients With Cancer: Usability and Utility Study

JMIR Form Res. 2024 Feb 29;8:e50528. doi: 10.2196/50528.

ABSTRACT

BACKGROUND: Medication adherence and the management of adverse drug reactions (ADRs) are crucial to the efficacy of antitumor drugs. A WeChat applet, also known as a "Mini Program," is similar to the app but has marked advantages. The development and use of a WeChat applet makes follow-up convenient for patients with cancer.

OBJECTIVE: This study aimed to assess the usability and utility of a newly developed WeChat applet, "DolphinCare," among patients with cancer in Shanghai.

METHODS: A qualitative methodology was used to obtain an in-depth understanding of the experiences of patients with cancer when using DolphinCare from the usability and utility aspects. The development phase consisted of 2 parts: alpha and beta testing. Alpha testing combined the theory of the Fogg Behavior Model and the usability model. Alpha testing also involved testing the design of DolphinCare using a conceptual framework, which included factors that could affect medication adherence and ADRs. Beta testing was conducted using in-depth interviews. In-depth interviews allowed us to assist the patients in using DolphinCare and understand whether they liked or disliked DolphinCare and found it useful.

RESULTS: We included participants who had an eHealth Literacy Scale (eHEALS) score of ≥50%, and a total of 20 participants were interviewed consecutively. The key positive motivators described by interviewers were to be reminded to take their medications and to alleviate their ADRs. The majority of the patients were able to activate and use DolphinCare by themselves. Most patients indicated that their trigger to follow-up DolphinCare was the recommendation of their known and trusted health care professionals. All participants found that labels containing the generic names of their medication and the medication reminders were useful, including timed pop-up push notifications and text alerts. The applet presented the corresponding information collection forms of ADRs to the patient to fill out. The web-based consultation system enables patients to consult pharmacists or physicians in time when they have doubts about medications or have ADRs. The applet had usabilities and utilities that could improve medication adherence and the management of ADRs among patients with cancer.

CONCLUSIONS: This study provides preliminary evidence regarding the usability and utility of this type of WeChat applet among patients with cancer, which is expected to be promoted for managing follow-up among other patients with other chronic disease.

PMID:38421700 | DOI:10.2196/50528

Powered by WPeMatico

Telemedicine vs Telephone Consultations and Medication Prescribing Errors Among Referring Physicians: A Cluster Randomized Crossover Trial

HumanInsight Telemedicine vs Telephone Consultations and Medication Prescribing Errors Among Referring Physicians: A Cluster Randomized Crossover Trial

JAMA Netw Open. 2024 Feb 5;7(2):e240275. doi: 10.1001/jamanetworkopen.2024.0275.

ABSTRACT

IMPORTANCE: Critically ill children presenting to emergency departments (EDs) in non-children's hospitals are at high risk for experiencing medical errors, including medication errors. Video telemedicine consultations with pediatric specialists have the potential to reduce the risk of medication errors beyond the current standard of care, telephone consultations.

OBJECTIVE: To compare the rates of ED physician-related medication errors among critically ill children randomized to receive either video telemedicine or telephone consultations.

DESIGN, SETTING, AND PARTICIPANTS: This cluster randomized, unbalanced crossover trial was conducted at 15 community EDs in northern California between September 2014 and March 2018. Analyses were conducted from May 2022 to January 2023. Participants included acutely ill children younger than 15 years presenting to a participating ED.

INTERVENTIONS: Participating EDs were randomized to use video telemedicine or telephone for consultations with pediatric critical care physicians according to 1 of 4 unbalanced (3 telemedicine to 1 telephone) crossover treatment assignment sequences.

MAIN OUTCOMES AND MEASURES: Pharmacists reviewed medical records to document physician-related medication errors using a previously validated instrument. Multilevel logistic regression analyses were performed to create models with the medication order as the unit of analysis and adjusting for age, the log-transformed Revised Pediatric Emergency Assessment Tool score, and hospital study period.

RESULTS: A total of 696 patient encounters were included in the trial (mean [SD] age, 4.2 [4.6] years; median [IQR] age, 2.1 [0.5-2.1] years; 304 female [43.7%]), with 537 patient encounters (77.2%) assigned to video telemedicine and 159 patient encounters (22.8%) assigned to telephone. At least 1 physician-related medication error occurred for 87 patients (12.5%), including 20 of 159 patients (12.6%) in the telephone cohort and 67 of 537 patients (12.5%) in the telemedicine cohort. Of the 2414 medication orders, errors occurred in 124 cases (5.1%), including 26 of 513 orders (5.1%) in the telephone cohort and 98 of 1901 orders (5.2%) in the telemedicine cohort. In the multivariable analysis, the adjusted odds ratio of experiencing a medication error among those assigned to telemedicine was 0.86 (95% CI, 0.49-1.52; P = .61).

CONCLUSIONS AND RELEVANCE: This cluster randomized crossover trial found no statistically significant differences in physician-related medication errors between critically ill children assigned to receive telephone consultations vs video telemedicine consultations.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02877810.

PMID:38421649 | DOI:10.1001/jamanetworkopen.2024.0275

Powered by WPeMatico

Impact of Glucagon-Like Peptide 1 Agonist Deprescription in Type 2 Diabetes in a Real-World Setting: A Propensity Score Matched Cohort Study

HumanInsight Impact of Glucagon-Like Peptide 1 Agonist Deprescription in Type 2 Diabetes in a Real-World Setting: A Propensity Score Matched Cohort Study

Diabetes Ther. 2024 Feb 29. doi: 10.1007/s13300-024-01547-0. Online ahead of print.

ABSTRACT

INTRODUCTION: Glucagon-like peptide 1 receptor agonists (GLP-1) elicit substantial reductions in glycemia and body weight in people with type 2 diabetes (T2D) and obesity, but existing data suggest the therapy must be continued indefinitely to maintain clinical improvements. Given the high cost and poor real-world persistence of GLP-1, an effective therapy that enables deprescription with sustained clinical improvements would be beneficial. Thus, the purpose of this real-world study was to assess the effect of GLP-1 deprescription on glycemia and body weight following co-therapy with carbohydrate restricted nutrition therapy (CRNT) supported via telemedicine in a continuous remote care model.

METHODS: A retrospective, propensity score matched cohort study among patients with T2D at a telemedicine clinic was conducted. Patients in whom GLP-1 were deprescribed (DeRx; n = 154) were matched 1:1 with patients in whom GLP-1 were continued (Rx). HbA1c and body weight at enrollment in clinic (pre-CRNT), at date of deprescription or index date (derx/ID), and at 6 and 12 months (m) post-derx/ID were utilized in this study.

RESULTS: No regression in weight was observed following deprescription with > 70% maintaining ≥ 5% weight loss 12 m post-derx/ID. HbA1c rose 6 m and 12 m post-derx/ID in both DeRx and Rx cohorts, but most patients maintained HbA1c < 6.5%. HbA1c and body weight measured 6 m and 12 m following derx/ID did not significantly differ between cohorts and were improved at derx/ID and at follow-up intervals compared to pre-CRNT.

CONCLUSION: These results demonstrate the potential for an alternate therapy, such as CRNT supported via telemedicine, to enable maintenance of weight loss and glycemia below therapeutic targets following discontinuation of GLP-1 therapy.

PMID:38421559 | DOI:10.1007/s13300-024-01547-0

Powered by WPeMatico

Relationship between on-demand telehealth visits and emergency department and hospital surge during the COVID-19 pandemic

HumanInsight Relationship between on-demand telehealth visits and emergency department and hospital surge during the COVID-19 pandemic

J Am Coll Emerg Physicians Open. 2024 Feb 27;5(2):e13128. doi: 10.1002/emp2.13128. eCollection 2024 Apr.

ABSTRACT

OBJECTIVES: The relationship between COVID-19-related telehealth calls could be used to predict emergency department visits and hospital surges 3 days later potentially facilitating staffing adjustments in advance of patient arrivals. The purpose of this research was to study the temporal association between frequencies of on demand telehealth calls and emergency department surges during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic.

METHODS: This cohort study examined patients who self-initiated synchronous audio-video on-demand telehealth calls between January 1, 2020 and June 30, 2022, and compared these to emergency department arrivals. The exposure in question was a synchronous audio-video on-demand telehealth visit. Our main outcome measured was frequency of emergency department visits. After autocorrelation, a multivariate linear regression model was utilized to determine temporal relationships between the two variables.

RESULTS: This cohort study examined 42,429 synchronous audio-video on-demand telehealth calls, of which 43.6% were COVID-19 related, and 540,686 emergency department visits, of which 3.9% were diagnosed with COVID-19. COVID-19-related telehealth calls 3 days prior were predictive of emergency department encounters (r 2 = 0.85, p < 0.001). Emergency department encounters were strongly correlated with hospital admissions (r 2 = 0.71, p < 0.001).

CONCLUSIONS: Our results demonstrate that telehealth calls related to COVID-19 were an accurate predictor of emergency department encounters 3 days later, and emergency department encounters are highly correlated with hospital admissions. Limitations include that we only assessed a single health system in the region covered by the telemedicine healthcare professionals. We did not examine direct links between these two encounter types nor severity of illness at the patient level. Understanding that telehealth calls related to COVID-19 are highly predictive of emergency department encounters within 3 days may provide a brief but important window to upstaff hospitals at the beginning of future COVID-19 surges.

PMID:38420576 | PMC:PMC10897634 | DOI:10.1002/emp2.13128

Powered by WPeMatico

Telemedicine in patients with obsessive-compulsive disorder after deep brain stimulation: a case series

HumanInsight Telemedicine in patients with obsessive-compulsive disorder after deep brain stimulation: a case series

Front Hum Neurosci. 2024 Feb 14;18:1296726. doi: 10.3389/fnhum.2024.1296726. eCollection 2024.

ABSTRACT

BACKGROUND: Patients suffering from refractory obsessive-compulsive disorder (OCD) who have undergone deep brain stimulation (DBS) surgery require repeated in-person programming visits. These sessions could be labor-intensive and may not always be feasible, particularly when in-person hospital visits are restricted. Telemedicine is emerging as a potential supplementary tool for post-operative care. However, its reliability and feasibility still require further validation due to the unconventional methods of interaction.

METHODS: A study was conducted on three patients with refractory OCD who had undergone DBS. Most of their programming sessions were completed via a remote programming system. These patients were recruited and monitored for a year. Changes in their clinical symptoms were assessed using the Yale-Brown Obsessive-Compulsive Scale-Second Edition (Y-BOCS-II), the Hamilton Anxiety Scale-14 (HAMA), the Hamilton Depression Scale-17 (HAMD), and the Short Form 36 Health Survey Questionnaire (SF-36). The scores from these assessments were reported.

RESULTS: At the last follow-up, two out of three patients were identified as responders, with their Y-BOCS-II scores improving by more than 35% (P1: 51%, P3: 42%). These patients also experienced some mood benefits. All patients observed a decrease in travel expenses during the study period. No severe adverse events were reported throughout the study.

CONCLUSION: The group of patients showed improvement in their OCD symptoms within a 1-year follow-up period after DBS surgery, without compromising safety or benefits. This suggests that telemedicine could be a valuable supplementary tool when in-person visits are limited.

PMID:38419962 | PMC:PMC10899702 | DOI:10.3389/fnhum.2024.1296726

Powered by WPeMatico

Digitally-mediated coordination in healthcare: the effects of teleconsultation on doctor-to-doctor relational coordination

HumanInsight Digitally-mediated coordination in healthcare: the effects of teleconsultation on doctor-to-doctor relational coordination

BMC Health Serv Res. 2024 Feb 28;24(1):258. doi: 10.1186/s12913-024-10726-5.

ABSTRACT

BACKGROUND: Digitalization transforms the way in which interdependent work is coordinated, especially in healthcare settings. This work deepens the effect of teleconsultation use on health professionals' coordination. For this aim, we rely on Relational Coordination Theory (RCT), which explores coordination as an interactive process among group participants within the context of task interdependency.

METHODS: We collected data through an online survey administered to Italian specialist doctors between March and April 2023. 489 complete answers were gathered. Hypotheses have been tested through Structural Equation Modelling.

RESULTS: We found that teleconsultation frequency of use has a positive and significant effect on both components of relational coordination, confirming our hypotheses.

CONCLUSIONS: Theoretically, this research contributes to our understanding of the effect of digitally mediated coordination mechanisms on relational coordination. In practice, we shed light on the organizational implications of telemedicine under a novel perspective, focusing on the role of professional interactions in digitally mediated work and providing useful elements for the organizational design of telemedicine.

PMID:38419009 | DOI:10.1186/s12913-024-10726-5

Powered by WPeMatico

Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis

HumanInsight Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis

Commun Med (Lond). 2024 Feb 28;4(1):31. doi: 10.1038/s43856-024-00464-4.

ABSTRACT

BACKGROUND: Long-term monitoring of Electrocardiogram (ECG) recordings is crucial to diagnose arrhythmias. Clinicians can find it challenging to diagnose arrhythmias, and this is a particular issue in more remote and underdeveloped areas. The development of digital ECG and AI methods could assist clinicians who need to diagnose arrhythmias outside of the hospital setting.

METHODS: We constructed a large-scale Chinese ECG benchmark dataset using data from 272,753 patients collected from January 2017 to December 2021. The dataset contains ECG recordings from all common arrhythmias present in the Chinese population. Several experienced cardiologists from Shanghai First People's Hospital labeled the dataset. We then developed a deep learning-based multi-label interpretable diagnostic model from the ECG recordings. We utilized Accuracy, F1 score and AUC-ROC to compare the performance of our model with that of the cardiologists, as well as with six comparison models, using testing and hidden data sets.

RESULTS: The results show that our approach achieves an F1 score of 83.51%, an average AUC ROC score of 0.977, and 93.74% mean accuracy for 6 common arrhythmias. Results from the hidden dataset demonstrate the performance of our approach exceeds that of cardiologists. Our approach also highlights the diagnostic process.

CONCLUSIONS: Our diagnosis system has superior diagnostic performance over that of clinicians. It also has the potential to help clinicians rapidly identify abnormal regions on ECG recordings, thus improving efficiency and accuracy of clinical ECG diagnosis in China. This approach could therefore potentially improve the productivity of out-of-hospital ECG diagnosis and provides a promising prospect for telemedicine.

PMID:38418628 | DOI:10.1038/s43856-024-00464-4

Powered by WPeMatico

Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study

HumanInsight Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study

BMJ Open. 2024 Feb 28;14(2):e075257. doi: 10.1136/bmjopen-2023-075257.

ABSTRACT

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnoea (OSA) are prevalent respiratory diseases in China and impose significant burdens on the healthcare system. Moreover, the co-occurrence of COPD and OSA exacerbates clinical outcomes significantly. However, comprehensive epidemiological investigations in China remain scarce, and the defining characteristics of the population affected by COPD and OSA, alongside their intrinsic relationship, remain ambiguous.

METHODS AND ANALYSIS: We present a protocol for a prospective, multicentre, observational cohort study based on a digital health management platform across three different healthcare tiers in five sites among Chinese patients with COPD. The study aims to establish predicative models to identify OSA among patients with COPD and to predict the prognosis of overlap syndrome (OS) and acute exacerbations of COPD through the Internet of Things (IoT). Moreover, it aims to evaluate the feasibility, effectiveness and cost-effectiveness of IoT in managing chronic diseases within clinical settings. Participants will undergo baseline assessment, physical examination and nocturnal oxygen saturation measuring. Specific questionnaires screening for OSA will also be administered. Diagnostic lung function tests and polysomnography will be performed to confirm COPD and OSA, respectively. All patients will undergo scheduled follow-ups for 12 months to record the changes in symptoms, lung functions and quality of life. Primary outcomes include the prevalence and characteristics of OS, while secondary outcomes encompass OS prognosis and the feasibility of the management model in clinical contexts. A total of 682 patients with COPD will be recruited over 12-24 months.

ETHICS AND DISSEMINATION: The study has been approved by Peking University Third Hospital, and all study participants will provide written informed consent. Study results will be published in an appropriate journal and presented at national and international conferences, as well as relevant social media and various stakeholder engagement activities.

TRIAL REGISTRATION NUMBER: NCT04833725.

PMID:38418236 | DOI:10.1136/bmjopen-2023-075257

Powered by WPeMatico

The Phenomenology of the Face-to-Facetime: A Levinasian Critique of the Virtual Clinic

HumanInsight The Phenomenology of the Face-to-Facetime: A Levinasian Critique of the Virtual Clinic

J Med Philos. 2024 Feb 28:jhae003. doi: 10.1093/jmp/jhae003. Online ahead of print.

ABSTRACT

In order to promote social distancing during the recent COVID-19 pandemic, physicians and healthcare systems have made efforts to replace in-person with virtual clinic visits when feasible. While these efforts have been well received and seem compatible with sound clinical practice, they do not perfectly replicate the experience of a face-to-face exchange between doctor and patient. This essay attempts to describe features of the virtual visit that distinguish it from its face-to-face analog and considers the phenomenological work of Emmanuel Levinas in arguing that these differences may limit the force of the ethical summons a provider would otherwise experience before the face of a patient. The diminishment of this signal therapeutic experience may engender vocational as well as clinical consequences, which should be weighed against the practical benefits of the virtual visit as we consider whether our enthusiasm for this mode of practice should continue.

PMID:38418092 | DOI:10.1093/jmp/jhae003

Powered by WPeMatico

Evaluation of the Status of Patients with Autoimmune Bullous Diseases (Pemphigus and Bullous Pemphigoids) in Dermatology Clinics of Mashhad University of Medical Sciences During the COVID-19 Pandemic Using Telemedicine

HumanInsight Evaluation of the Status of Patients with Autoimmune Bullous Diseases (Pemphigus and Bullous Pemphigoids) in Dermatology Clinics of Mashhad University of Medical Sciences During the COVID-19 Pandemic Using Telemedicine

Telemed J E Health. 2024 Feb 27. doi: 10.1089/tmj.2023.0395. Online ahead of print.

ABSTRACT

Background: The COVID-19 pandemic impacted the growth of telemedicine. The challenge was in the way of dermatologists, who needed a comprehensive examination of the lesions. Here, we tried a tele-management of patients with autoimmune bullous diseases. Methods: This cross-sectional study was conducted on confirmed bullous disorder cases. Demographic data and the status of COVID-19 infection were assessed in the patients. Some of the cases were provided online, and some with office visits. Drug and treatment plan changes were compared between these two groups. All statistical analysis was conducted using SPSS version 20. Result: Totally, 100 patients, including 46 males (46.0%) and 54 females (54.0%), 48.15 ± 11.11 years old, were studied. Among them, 73 were pemphigus vulgaris (73.0%), 11 were bullous pemphigoid (11.0%), 10 were pemphigus foliaceus (10.0%), and the other 6 (6.0%) were categorized as other autoimmune bullous diseases. During the pandemic, 38 cases (38.0%) had COVID-19 infection. 72 patients had office and 28 had online visits. Treatment plans after visits during the pandemic (p = 0.588) and drug dose change (p = 0.297) showed no significant difference between office and online visits. Conclusion: Our patients tended to plan office visits more than online; however, we found no differences regarding the plan or treatment changes. Online visit has good efficacy, but further investigation in case of provision of a suitable platform and getting the attention of the patients is needed.

PMID:38416427 | DOI:10.1089/tmj.2023.0395

Powered by WPeMatico