Evaluating user experience with a chatbot designed as a public health response to the Covid-19 pandemic in Brazil: a mixed-methods study

Persistent cognitive symptoms in mild COVID-19 infection: a retrospective cohort study

BACKGROUND

The COVID-19 pandemic represented a healthcare challenge of unparalleled magnitude worldwide. As patients recovered from the acute infection, a new challenge emerged, i.e., the development of post-acute symptoms. The main goal of this study was to evaluate the trajectory of cognitive symptoms since the acute phase of COVID-19 among patients followed through a telehealth program in Brazil.

METHODS

A retrospective cohort study was conducted with confirmed COVID-19 patients followed by a Brazilian telehealth program who presented cognitive symptoms in the acute phase of infection. The objective of the current analysis was to assess the persistence or remission of cognitive symptoms at 24 weeks after the onset of acute COVID-19 symptoms, as well as the factors associated with such manifestations. The study used chi-square tests and multivariate logistic regression models to assess the association between patients' parameters and the presence of cognitive symptoms. A backward stepwise method was applied to define significant characteristics, which were then evaluated using odds ratios and 95% confidence intervals.

RESULTS

Among 319 patients who had cognitive symptoms during acute COVID-19, 89 (27.9%) reported persistence of cognitive symptoms for more than 24 weeks from the acute onset of the infection. Female sex (OR 2.33 [95% CI 1.23-4.43]) and having been infected during the second wave of COVID-19 (OR 2.30 [95% CI 1.34-3.96]) were associated with the persistence of symptoms beyond 24 weeks.

CONCLUSIONS

Approximately one-third of patients with COVID-19, mainly women and people infected during the second wave of infection, experienced persistent cognitive symptoms.

Understanding the Personal Barriers of Elderly Patients for Carrying out Teleconsultations During COVID-19 Pandemic: An Observational Study

Introduction: The expansion of telehealth during the COVID-19 pandemic may widen digital divides. It is essential to better understand the use of telehealth by the elderly population for the development of equitable telehealth tools. Objectives: This study aimed to describe the socioeconomic, clinical, and functional characteristics of elderly patients who were supported by a COVID-19 telehealth program. It also investigated the characteristics associated with the need for support for teleconsultations, hospitalization, and mortality. Methods: >Elderly patients supported by the TeleCOVID-MG program, between June 2020 and December 2021, in two Brazilian municipalities (Divinópolis and Teófilo Otoni) were included. Data were collected from electronic records and through phone call interviews. Descriptive and multivariable analyses were performed. Results: Among the 237 patients,121 were women (51.1%), mean age was 70.8 years (±8.5), 121 (51.1%) had less than 4 years of formal education, 123 patients (51.9%) had two or more comorbidities, and 68 (29%) reported functional decline in activities of daily life. Age greater than 80 years (odds ratio [OR]:4.68, 95% confidence interval [CI] 1.93-11.37, p = 0.001), lower educational level (OR:3.85, 95% CI 1.8-8.21, p < 0.001), hearing (OR:5.46, 95% CI: 1.24-11.27, p = 0.019), and visual (OR:15.10, 95% CI: 3.21-71.04, p = 0.001) impairments were characteristics associated with the need for support for teleconsultations. The need for support was associated with hospitalization and mortality (OR:5.08, 95% CI: 2.35-10.98, p < 0.001). Conclusion: Older age, lower educational level, and sensory impairments may compromise the effectiveness and the safety of the telehealth assistance to the elderly population. Functional evaluation and frailty screening should be considered part of the telehealth assessment of elderly patients.

Effect of a Structured Multilevel Telehealth Service on Hospital Admissions and Mortality During COVID-19 in a Resource-Limited Region in Brazil: Retrospective Cohort Study

BACKGROUND

The COVID-19 pandemic represented a great stimulus for the adoption of telehealth and many initiatives in this field have emerged worldwide. However, despite this massive growth, data addressing the effectiveness of telehealth with respect to clinical outcomes remain scarce.

OBJECTIVE

The aim of this study was to evaluate the impact of the adoption of a structured multilevel telehealth service on hospital admissions during the acute illness course and the mortality of adult patients with flu syndrome in the context of the COVID-19 pandemic.

METHODS

A retrospective cohort study was performed in two Brazilian cities where a public COVID-19 telehealth service (TeleCOVID-MG) was deployed. TeleCOVID-MG was a structured multilevel telehealth service, including (1) first response and risk stratification through a chatbot software or phone call center, (2) teleconsultations with nurses and medical doctors, and (3) a telemonitoring system. For this analysis, we included data of adult patients registered in the Flu Syndrome notification databases who were diagnosed with flu syndrome between June 1, 2020, and May 31, 2021. The exposed group comprised patients with flu syndrome who used TeleCOVID-MG at least once during the illness course and the control group comprised patients who did not use this telehealth service during the respiratory illness course. Sociodemographic characteristics, comorbidities, and clinical outcomes data were extracted from the Brazilian official databases for flu syndrome, Severe Acute Respiratory Syndrome (due to any respiratory virus), and mortality. Models for the clinical outcomes were estimated by logistic regression.

RESULTS

The final study population comprised 82,182 adult patients with a valid registry in the Flu Syndrome notification system. When compared to patients who did not use the service (n=67,689, 82.4%), patients supported by TeleCOVID-MG (n=14,493, 17.6%) had a lower chance of hospitalization during the acute respiratory illness course, even after adjusting for sociodemographic characteristics and underlying medical conditions (odds ratio [OR] 0.82, 95% CI 0.71-0.94; P=.005). No difference in mortality was observed between groups (OR 0.99, 95% CI 0.86-1.12; P=.83).

CONCLUSIONS

A telehealth service applied on a large scale in a limited-resource region to tackle COVID-19 was related to reduced hospitalizations without increasing the mortality rate. Quality health care using inexpensive and readily available telehealth and digital health tools may be delivered in areas with limited resources and should be considered as a potential and valuable health care strategy. The success of a telehealth initiative relies on a partnership between the involved stakeholders to define the roles and responsibilities; set an alignment between the different modalities and levels of health care; and address the usual drawbacks related to the implementation process, such as infrastructure and accessibility issues.

Post-COVID-19 cognitive symptoms in patients assisted by a teleassistance service: a retrospective cohort study

Introduction

Four years after the onset of the COVID-19 pandemic, the frequency of long-term post-COVID-19 cognitive symptoms is a matter of concern given the impact it may have on the work and quality of life of affected people.

Objective

To evaluate the incidence of post-acute COVID-19 cognitive symptoms, as well as the associated risk factors.

Methods

Retrospective cohort, including outpatients with laboratory-confirmed COVID-19 and who were assisted by a public telehealth service provided by the Telehealth Network of Minas Gerais (TNMG), during the acute phase of the disease, between December/2020 and March/2022. Data were collected through a structured questionnaire, applied via phone calls, regarding the persistence of COVID-19 symptoms after 12 weeks of the disease. Cognitive symptoms were defined as any of the following: memory loss, problems concentrating, word finding difficulties, and difficulty thinking clearly.

Results

From 630 patients who responded to the questionnaire, 23.7% presented cognitive symptoms at 12 weeks after infection. These patients had a higher median age (33 [IQR 25-46] vs. 30 [IQR 24-42] years-old, p = 0.042) with a higher prevalence in the female sex (80.5% vs. 62.2%, p < 0.001) when compared to those who did not present cognitive symptoms, as well as a lower prevalence of smoking (8.7% vs. 16.2%, p = 0.024). Furthermore, patients with persistent cognitive symptoms were more likely to have been infected during the second wave of COVID-19 rather than the third (31.0% vs. 21.3%, p = 0.014). Patients who needed to seek in-person care during the acute phase of the disease were more likely to report post-acute cognitive symptoms (21.5% vs. 9.3%, p < 0,001). In multivariate logistic regression analysis, cognitive symptoms were associated with female sex (OR 2.24, CI 95% 1.41-3.57), fatigue (OR 2.33, CI 95% 1.19-4.56), depression (OR 5.37, CI 95% 2.19-13.15) and the need for seek in-person care during acute COVID-19 (OR 2.23, CI 95% 1.30-3.81).

Conclusion

In this retrospective cohort of patients with mostly mild COVID-19, cognitive symptoms were present in 23.7% of patients with COVID-19 at 12 weeks after infection. Female sex, fatigue, depression and the need to seek in-person care during acute COVID-19 were the risk factors independently associated with this condition.

Chatbots and COVID-19: Taking Stock of the Lessons Learned

While digital innovation in health was already rapidly evolving, the COVID-19 pandemic has accelerated the generation of digital technology tools, such as chatbots, to help increase access to crucial health information and services to those who were cut off or had limited contact with health services. This theme issue titled "Chatbots and COVID-19" presents articles from researchers and practitioners across the globe, describing the development, implementation, and evaluation of chatbots designed to address a wide range of health concerns and services. In this editorial, we present some of the key challenges and lessons learned arising from the content of this theme issue. Most notably, we note that a stronger evidence base is needed to ensure that chatbots and other digital tools are developed to best serve the needs of population health.

Head Protection Device for Individuals at Risk for Head Injury due to Ground-Level Falls: Single Trauma Center User Experience Investigation

BACKGROUND

Falls represent a large percentage of hospitalized patients with trauma as they may result in head injuries. Brain injury from ground-level falls (GLFs) in patients is common and has substantial mortality. As fall prevention initiatives have been inconclusive, we changed our strategy to injury prevention. We identified a head protection device (HPD) with impact-resistant technology, which meets head impact criteria sustained in a GLF. HPDs such as helmets are ubiquitous in preventing head injuries in sports and industrial activities; yet, they have not been studied for daily activities.

OBJECTIVE

We investigated the usability of a novel HPD on patients with head injury in acute care and home contexts to predict future compliance.

METHODS

A total of 26 individuals who sustained head injuries, wore an HPD in the hospital, while ambulatory and were evaluated at baseline and 2 months post discharge. Clinical and demographic data were collected; a usability survey captured HPD domains. This user experience design revealed patient perceptions, satisfaction, and compliance. Nonparametric tests were used for intragroup comparisons (Wilcoxon signed rank test). Differences between categorical variables including sex, race, and age (age group 1: 55-77 years; age group 2: 78+ years) and compliance were tested using the chi-square test.

RESULTS

Of the 26 patients enrolled, 12 (46%) were female, 18 (69%) were on anticoagulants, and 25 (96%) were admitted with a head injury due to a GLF. The median age was 77 (IQR 55-92) years. After 2 months, 22 (85%) wore the device with 0 falls and no GLF hospital readmissions. Usability assessment with 26 patients revealed positive scores for the HPD post discharge regarding satisfaction (mean 4.8, SD 0.89), usability (mean 4.23, SD 0.86), effectiveness (mean 4.69, SD 0.54), and relevance (mean 4.12, SD 1.10). Nonparametric tests showed positive results with no significant differences between 2 observations. One issue emerged in the domain of aesthetics; post discharge, 8 (30%) patients had a concern about device weight. Analysis showed differences in patient compliance regarding age (χ12=4.27; P=.04) but not sex (χ12=1.58; P=.23) or race (χ12=0.75; P=.60). Age group 1 was more likely to wear the device for normal daily activities. Patients most often wore the device ambulating, and protection was identified as the primary benefit.

CONCLUSIONS

The HPD intervention is likely to have reasonably high compliance in a population at risk for GLFs as it was considered usable, protective, and relevant. The feasibility and wearability of the device in patients who are at risk for GLFs will inform future directions, which includes a multicenter study to evaluate device compliance and effectiveness. Our work will guide other institutions in pursuing technologies and interventions that are effective in mitigating injury in the event of a fall in this high-risk population.