Home Equipment Research Articles

Adapting Group Prenatal Care for Telehealth: A COVID-Era Innovation to Address Barriers to Care for Latinx Clients.

The use of telehealth prenatal care increased exponentially during the coronavirus disease 2019 (COVID-19) pandemic, but there is no literature describing its use for group prenatal care during this time. The COVID-19 pandemic also exacerbated structural barriers to care that disproportionately affect Black and Latinx people. Telehealth enabled pregnant people to access health care and minimize infectious risks. Telehealth group prenatal care (T-GPNC) incorporated the essential elements of CenteringPregnancy with telehealth is an innovative care delivery method borne out of necessity during the COVID-19 pandemic that has potential to mitigate structural barriers to care. Mary's Center is a federally qualified health center (FQHC) in Washington, DC, and Maryland that rapidly pivoted to individual telehealth prenatal care early in the pandemic. Mary's Center used our experience with group care and guidance from the Centering Healthcare Institute on virtual Centering to launch T-GPNC. This new model included home self-monitoring equipment and video classrooms, mixed with in-person individual care visits. We used a team-based approach with nurses, midwives, and community health workers to provide holistic care to pregnant people. Our robust care coordination team also connected them to home visiting, mental health services, and nutrition counseling. The purpose of this article is to describe how Mary's Center modified the CenteringPregnancy model of group prenatal care for telehealth, following the hallmarks of CenteringPregnancy, and met the needs of Spanish-speaking clients, henceforth Latinx clients. A secondary purpose is to demonstrate how telehealth can expand access to health care and remove structural barriers that may prevent pregnant people from attending in-person appointments. We also discuss the structural inequities in digital access and literacy in the context of program implementation.

Wireless sensor network-based health monitoring and smart home assistance for the older adults in sports and wellness towns.

Integrating technology with rural development is essential for addressing the unique challenges faced by aging populations in rural areas. China's national rural revitalization strategy emphasizes the importance of developing characteristic towns that focus on health and wellness demands, particularly for the older adults. However, there is a gap in the literature regarding the systematic use of technology to support the health and daily living needs of this demographic. This study aims to bridge this gap by proposing a wireless sensor network (WSN)-based system that integrates health monitoring and smart home assistance, specifically tailored for older adults residents in sports and wellness towns. The system's design involves collecting and analyzing historical activity data and basic physiological parameters from older adults residents' homes. The data are cleaned, combined and stored to prepare it for behavior analysis, which is vital for controlling smart home equipment. Preliminary health assessments are conducted using the collected physiological data. A hybrid network leveraging Sub-G and Wi-Fi technologies is optimized for the purposes of collecting and uploading data, based on a comparative analysis of wireless communication options. This study significantly contributes to the advancement of sports and wellness towns by promoting healthy aging through cutting-edge technological solutions.

Right Care, Right Time, Right Place: Real-life Challenges in Delivering Sláintecare – A Multi-Centre Survey of Multidisciplinary Team Members

Abstract Background Sláintecare launched in 2018 seeks to reform the delivery of healthcare services in Ireland towards equity of access based on patient need1. However, delivering the right care, in the right place at the right time is, as yet an aspirational goal. We sought to identify the on-the ground challenges that exist in delivering Sláintecare in the day-to-day practice of multidisciplinary team members. Methods An online survey questionnaire was distributed to medical social workers, occupational therapists, and physiotherapists. Respondents were asked about their experience in applying for community-based care in their practice including home care packages, community occupational therapy and home equipment. Descriptive statistics were applied to numerical data and a thematic analysis was performed on free text responses. Results There were 31 respondents from 10 clinical sites including acute and rehabilitation settings. All nine community healthcare organisations (CHOs) were represented. 29/31 (94%) felt that access to community-based care differed based on the patient’s residential address. 23/31 (74%) stated the referral documentation and process for home care packages varied depending on the patients’ CHO. Qualitative analysis identified three core themes; Unfulfilled care hours due to dearth of carer availability differed across CHOs; inconsistencies in the application process that exists between CHO’s and incongruities in the availability of and accessibility to publicly funded services on hospital discharge. Conclusion Our survey highlights the practical challenges of delivering Sláintecare currently. It reinforces the health inequities that limits patients’ ability to access quality healthcare because of their geographical location.

Fulfilling last wishes: improving the compassionate discharge process

BackgroundCompassionate discharges (ComD), commonly known as rapid discharges, are urgent one-way discharges for critically ill hospitalised patients with death expected within hours or less than 7 days, to die at...

Penjadwalan Pemeliharaan Mesin Produksi Menggunakan Reliability Centered Maintenance

CV. ABC is a furniture business that produces home equipment which includes all items, namely chairs, tables, cupboards, beds, nightstands, wooden stairs, etc. The aim of this research was to determine maintenance scheduling for production machines, namely wood cutting machines and drilling machines, and provide suggestions for improving the maintenance scheduling of production machines, namely wood cutting machines and drilling machines, which are more effective. The advantage of the Reliability Centered Maintenance (RCM) method is that it prioritizes the main action of preventive maintenance, namely preventing and minimizing the consequences of failures that arise, so that it can increase the reliability and safety of the equipment used. Failure Modes and Effects Analysis (FMEA) is a technique for evaluating the level of reliability of a system to determine the effects of failure of the system. Based on the results of data processing and research discussion regarding production machine maintenance scheduling using RCM at CV. ABC, a conclusion can be drawn, namely, the Cutting Machine has a breakdown frequency of 26 times with the Bearing component having the most breakdown frequency, namely 8 times, the highest Risk Priority Number (RPN) calculation is Solenoid component with a value of 105, Mean Time to Failure (MTTF) calculation with a value of 111.5385 and Mean Time to Recovery (MTTR) with a value of 0.769231. The drilling machine has a breakdown frequency of 24 times with the Drill Bit component having the highest breakdown frequency, namely 6 times, the highest RPN calculation is the Drill Bit component with a value of 105, MTTF calculation with a value of 120.8333 and MTTR with a value of 0.8333.

An IoT-assisted Intelligent Monitoring System

Objective: The usage of power and automated control systems can save energy, but creating an intelligent control system via the Internet of Things (IoT) is an advanced technique because it provides remote access and control through the Internet, especially for those who are facing issues with monitoring their home’s smart gears remotely. In this sense, NodeMcu is an internet-enabled device that operates under different conditions to monitor smart home gear securely. Methods: Therefore, this research has been conducted to provide a solid platform for remote home control and monitoring, together with a complete solution. In this research, we have built a small model by integrating hardware components and connecting online to Google Firebase, allowing the end-user to monitor and control their online home environment efficiently. Results: The online interface helps end-users care for their home equipment, lock doors, and install all intelligent gear inside smart homes. This interface ensures efficient and seamless interaction with all integrated smart home devices, enhancing the user experience and providing a higher level of convenience and security. Through this platform, end-users can perform a wide range of tasks such as adjusting lighting, regulating temperature, monitoring security cameras, and managing energy consumption. The system’s user-friendly design and reliable connectivity ensure that users can maintain control over their home environment from any location with internet access. Conclusion: The proposed model is Cost effective, making it accessible to a boarder demographic. This advancement in home automation enhances security and improves the overall management of smart home system.

Health Care Expenses and Financial Hardship Among Medicare Beneficiaries With Functional Disability

Medicare beneficiaries with functional disabilities often require more medical care, leading to substantial financial hardship. However, the precise magnitude and sources of this hardship remain unknown. To quantify the financial burden from health care expenses by functional disability levels among Medicare beneficiaries. This cross-sectional study used data, including demographic and socioeconomic characteristics, health status, and health care use, from a nationally representative sample of Medicare beneficiaries from the 2013 to 2021 Medical Expenditure Panel Survey. Functional disability was measured using 6 questions and categorized into 3 levels: none (no difficulties), moderate (1-2 difficulties), and severe (≥3 difficulties). Data were analyzed from December 2023 to March 2024. Financial hardship from health care expenses was assessed using objective measures (annual out-of-pocket spending, high financial burden [out-of-pocket spending exceeding 20% of income], and catastrophic financial burden [out-of-pocket spending exceeding 40% of income]) and subjective measures (difficulty paying medical bills and paying medical bills over time). We applied weights to produce results representative of national estimates. The sample included 31 952 Medicare beneficiaries (mean [SD] age, 71.1 [9.7] years; 54.6% female). In weighted analyses, severe functional disability was associated with a significantly higher financial burden from health care expenses, with out-of-pocket spending reaching $2137 (95% CI, $1943-$2330) annually. This exceeded out-of-pocket spending for those without functional disability by nearly $700 per year ($1468 [95% CI, $1311-$1625]) and for those with moderate functional disability by almost $500 per year ($1673 [95% CI, $1620-$1725]). The primary factors that played a role in this difference were home health care ($399 [95% CI, $145-$651]) and equipment and supplies ($304 [95% CI, $278-$330]). Beneficiaries with severe functional disability experienced significantly higher rates of both high and catastrophic financial burden than those without disability and those with moderate disability (13.2% [12.2%-14.1%] vs 9.1% [95% CI, 8.6%-9.5%] and 9.4% [95% CI, 9.1%-9.7%] for high financial burden, respectively, and 8.9% [95% CI, 7.8%-10.1%] vs 6.4% [95% CI, 6.1%-6.8%] and 6.0% [95% CI, 5.6%-6.4%] for catastrophic financial burden, respectively). Similar associations were observed in subjective financial hardship. For example, 11.8% (95% CI, 10.3%-13.3%) of those with severe functional disability experienced problems paying medical bills, compared with 7.7% (95% CI, 7.6%-7.9%) and 9.3% (95% CI, 9.0%-9.6%) of those without functional disability and those with moderate functional disability, respectively. Notably, there were no significant differences in financial hardship among those with Medicaid based on functional disability levels. In this cross-sectional study of Medicare beneficiaries, those with severe functional disability levels experienced a disproportionate burden from health care costs. However, Medicaid played a pivotal role in reducing the financial strain. Policymakers should explore interventions that effectively relieve the financial burden of health care in this vulnerable population.

PCR62 Household Costs for Home, Vehicle, and Medical Equipment Expenditures to Accommodate Functional Impairments for Individuals with Duchenne Muscular Dystrophy

PCR62 Household Costs for Home, Vehicle, and Medical Equipment Expenditures to Accommodate Functional Impairments for Individuals with Duchenne Muscular Dystrophy

On current limitations of online eye-tracking to study the visual processing of source code

Context:Eye-tracking is an increasingly popular instrument to study how programmers process and comprehend source code. While most studies are conducted in controlled environments with lab-grade hardware, it would be desirable to simplify and scale participation in experiments for users sitting remotely, leveraging home equipment. Objective:This study investigates the possibility of performing eye-tracking studies remotely using open-source algorithms and consumer-grade webcams. It establishes the technology’s current limitations and evaluates the quality of the data collected by it. We conclude by recommending ways forward to address the shortcomings and make remote code-reading studies in support of eye-tracking feasible in the future. Method:We gathered eye-gaze data remotely from 40 participants performing a code reading experiment on a purpose-built web application. The utilized eye-tracker worked client-side and used ridge regression to generate x- and y-coordinates in real-time predicting the participants’ on-screen gaze points without the need to collect and save video footage. We processed and analysed the collected data according to common practices for isolating eye-movement events and deriving metrics used in software engineering eye-tracking studies. In response to the lack of an algorithm explicitly developed for detecting oculomotor fixation events in low-frequency webcam data, we also introduced a dispersion threshold algorithm for that purpose. The quality of the collected data was subsequently assessed to determine the adequacy and validity of the methodology for eye-tracking. Results:The collected data was found to be of varying quality despite extensive calibration and graphical user guidance. We present our results highlighting both the negative and positive observations from which the community hopefully can learn. Both accuracy and precision were low and ultimately deemed insufficient for drawing valid conclusions in a high-precision empirical study. We nonetheless contribute to identifying critical limitations to be addressed in future research. Apart from the overall challenge of vastly diverse equipment, setup, and configuration, we found two main problems with the current webcam eye-tracking technology. The first was the absence of a validated algorithm to isolate fixations in low-frequency data, compromising the assurance of the accuracy of the data derived from it. The second problem was the lack of algorithmic support for head movements when predicting gaze location. Unsupervised participants do not always keep their heads still, even if instructed to do so. Consequently, we frequently observed spatial shifts that corrupted many collected datasets. Three encouraging observations resulted from the study. Even when shifted, gaze points were consistently dispersed in patterns resembling both the shape and size of the stimuli without extreme deviations. We could also distinguish recognizable reading patterns. Linearity was significantly different when participants were reading source code compared to natural text, and we could detect the expected left-to-right and top-to-bottom reading directions for participants reading natural text snippets. Conclusion:The accuracy and precision levels were not sufficient for a word-by-word analysis of code reading but could be adequate for a broader, coarse-grained precision study. Additionally we identified two main issues compromising the collected data validity and contributed a fixation detection algorithm to approach one of these issues. With suitable solutions to the identified issues, remote eye-tracking studies with webcams on code reading could eventually be feasible.

IoT Smart Home Design for the Elderly Living Alone

Elderly people living alone face problems such as memory loss and poor safety awareness. However, elderly people have less understanding of smart home and electronic equipment, and some smart devices are complicated to operate, which do not meet the needs of elderly people. Therefore, this paper designs an Internet of Things (IoT) smart home system with automatic prompt, automatic start, monitoring and alarm functions, and takes automatic air conditioning as an example. The realization process is discussed in detail. It aims to improve the convenience of living alone for elderly people.

The Effect of Marketing Mix on Purchase Intention in the Home Appliance Industry in West Java

The purpose of this research is to discover what factors influence someone's decision to purchase home equipment. In this study, a discussion was held about the effect of the 4P marketing mix elements on purchase intention. The product, the price, the place, and the promotion are the four marketing aspects that will be discussed in this paper. The respondents in this study were 234 people who met the requirements of being of productive age, living in West Java, and having a fixed income. SEM-PLS was used to analyze the data, and the results revealed that just three variables from the marketing mix affected customer purchase intention in the home appliances industry. Product, price, and promotion are the variables that influence purchase intention; however, place has no effect. The company can pay attention to these three variables while designing strategies to improve market competition.

Tele-assessment of Berg balance scale, timed-up, go and box and block test in patients with chronic stroke: establishing agreement with the face-to-face assessment

Background: The COVID-19 pandemic has triggered rapid adaptive actions in favor of remote interventions and clinical assessment methods. The reliability of functional tests used in remote assessment is limited in patients with chronic stroke. The aim of the study was to assess the inter-reliability of the Berg balance scale, the timed-up and go test, and the box and block test via remote assessment, in patients with chronic stroke. Methods: Fifteen patients (8 men and 7 women) underwent a home-based teleassessment using a software platform and a center-based face-to-face assessment, on two consecutive days. The assessment order was randomized and conducted by an independent examiner. All participants were instructed regarding the use of the software platform, home equipment preparation, and safety issues Results: Participants aged 50-70 years (mean 59.6±7.34) with an average of 4.8±2.5 years after stroke and a moderate degree of motor dependence (Barthel scale: mean 83±8.61 units) completed all tests in both assessment procedures without experiencing adverse events. The inter-reliability was moderate for the total BBS score: ICC=0.869 (95% CI: 0.616 to 0.955), excellent for the total time of the TUG: ICC=0.968 (95% CI: 0.907 to 0.989) as well as for the upper right and left arm scores of the BBT: ICC=0.974 (95% CI: 0.922 to 0.991) and ICC=0.966 (95% CI: 0.897 to 0.988), respectively. Conclusions: Tele-assessment for BBS, TUG, and BBT appears moderate to excellent inter-reliability in functionally independent patients with chronic stroke.

Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms

With the development of smart grids and new power systems, the combination of non-intrusive load identification technology and smart home technology can provide users with the operating conditions of home appliances and equipment, thus reducing home energy loss and improving users’ ability to demand a response. This paper proposes a non-intrusive load decomposition model with a parallel multiscale attention mechanism (PMAM). The model can extract both local and global feature information and fuse it through a parallel multiscale network. This improves the attention mechanism’s ability to capture feature information over long time periods. To validate the model’s decomposition ability, we combined the PMAM model with four benchmark models: the Long Short-Term Memory (LSTM) recurrent neural network model, the Time Pooling-based Load Disaggregation Model (TPNILM), the Extreme Learning Machine (ELM), and the Load Disaggregation Model without Parallel Multi-scalar Attention Mechanisms (UNPMAM). The model was trained on the publicly available UK-DALE dataset and tested. The models’ test results were quantitatively evaluated using a confusion matrix. This involved calculating the F1 score of the load decomposition. A higher F1 score indicates better model decomposition performance. The results indicate that the PMAM model proposed in this paper maintains an F1 score above 0.9 for the decomposition of three types of electrical equipment under the same household user, which is 3% higher than that of the other benchmark models on average. In the cross-household test, the PMAM also demonstrated a better decomposition ability, with the F1 score maintained above 0.85, and the mean absolute error (MAE) decreased by 5.3% on average compared with that of the UNPMAM.

Design and Implementation of a LoRa Technology - Based Smart Home Monitoring Circuit

This paper offers a detailed design and real-world execution of a complex electrical circuit for smart homes that employs LoRa technology to monitor significant environmental conditions and the operating state of home equipment. The circuit's novel design allows it to monitor power usage and the on/off state of home appliances, in addition to measuring temperature and humidity with extreme precision. With its reputation for long-range and low-power wireless communication, LoRa technology is used by the core microcontroller of the system, which also processes sensor data. This is why the system works particularly effectively in large residences where other wireless technologies would have trouble. The solution ensures consistent and dependable data transmission using LoRa, even in the face of the common architectural obstacles seen in residential environments. To facilitate data analysis and remote monitoring, an electrical circuit was made to be readily linked to a central hub for home automation. A comprehensive assessment procedure was used for implementation in different household environments to determine responsiveness, dependability, and user-centered design. The empirical findings demonstrate how well the circuit works to provide homes with practical advice on how to best regulate device use and optimize the interior temperature, which eventually improves comfort and energy efficiency. To achieve next-generation home automation systems, LoRa-based solutions are critical, and the article concludes by analyzing the consequences of this study on the future landscape of smart-house technologies.

Handling of Personal Data by Smart Home Equipment: an Exploratory Analysis in the Context of LGPD

This paper presents an exploratory research that analyzed the Privacy and Security Policies and the Instruction Manuals of 59 home automation equipment for Smart Home in order to verify which personal data was handled and how these documents were providing information about processes performed in personal data. The analysis was conducted with a quantitative approach followed by a qualitative analysis, using content analysis. The surveys identified the following types of personal data: Identification, Financial, Devices and Location. The results presented greater interest in identification data, although financial and location are also used in specific cases. We also concluded that the Privacy and Security Policies present several information that meets the LGPD’s guidelines, especially regarding the purpose of using the data and which personal data is used. However, there is a visible lack of information about the benefits provided to data subjects and about sharing data with third parties, such as recipient data and the legal basis for sharing data.

The relationship between home environment affordances and motor development and sensory processing skills in premature infants

The availability of stimulating materials in the home environment is of great importance to optimizing an infant's development. This study, which has a cross-sectional study design, was conducted to examine the relationship between home environment conditions and equipment support and the motor development and sensory processing skills of premature infants. Children born premature, aged 10–16 months, were included in the study. Motor development was evaluated with the Peabody Motor Development Scale-2, and sensory processing skills were evaluated with the Test of Sensory Function in Infants. The Affordances in the Home Environment for Motor Development-Infant Scale was used to evaluate the home environment. A total of 51 premature infants were included in the study. It was determined that there was a significant relationship between physical space, stimulus variety and fine motor toys in the home environment and Peabody Motor Development Scale-2 gross motor and fine motor development scores. It was also shown that there was a relationship between the tactile and total scores of the Test of Sensory Function in Infants Scale and the variety of stimuli in the home environment and gross motor toy scores. These findings show that the opportunities provided in the home environment of premature infants may be related to their motor development and sensory processing skills. Consequently, the home environment may be associated with experiencing movements and sensory experiences.

Determinants of Change in Physical Activity in Children during the Transition from Elementary to High School.

Effective public health interventions targeting factors that influence physical activity are urgently needed to reduce the age-related decline in physical activity in youth. The purpose of this study was to identify associations between physical activity and a set of potential influences on physical activity in children as they transition from elementary to high school. Participants were 951 children from South Carolina school districts who completed outcome and independent variable measures on at least two time points from the 5th to 11th grades in 2010-2017. The primary outcome variable was physical activity, measured by accelerometry. Independent variables included a comprehensive set of variables in the child, parent/home, school, and community domains. Children, parents and school administrators, and staff completed questionnaires to assess psychosocial and home, school, and neighborhood environmental influences. Growth curve analyses identified independent variables associated with physical activity over time, either as a main effect or as an interaction with age. As main effects, self-efficacy, self-schema, sport participation, weekday outdoor hours, importance of child participating in sports and physical activity, safe to play outside, and Physical Activity Resource Assessment weighted score were positively associated with physical activity. The associations between physical activity and enjoyment motivation, appearance motivation, weekend outdoor time, and home equipment exhibited significant interactions with age. Enjoyment motivation influenced physical activity during the earlier years, whereas the remaining three variables influenced physical activity in the later years. Interventions should target multiple domains of influences that may vary by age.

Impression of Primary Care Follow-Up After a PICU Admission: A Pilot Survey of Primary Care Pediatricians.

The majority of PICU general follow-up occurs with primary care providers. Our objective was to investigate primary care pediatricians': 1) comfort with and barriers to caring for children after a PICU admission, 2) knowledge of and screening for post-intensive care syndrome in pediatrics (PICS-P), and 3) resource needs. Pilot cross-sectional survey study. Metropolitan Detroit, Michigan from September 2022 to March 2023. Primary care pediatricians. The survey included 15 questions on provider demographics, comfort with and barriers to caring for children after a PICU admission, knowledge of and screening practices for PICS-P, and resource needs. The median values for continuous data and frequencies for categorical data were calculated. The survey response rate was 17% (26/152). The median age was 38.5 years (interquartile range 34-52 yr) and 19 of 26 (73%) were female. In case studies, 26 of 26 (100%) were "very comfortable" resuming care for a patient with a straightforward bronchiolitis PICU admission while 8 of 26 participants (31%) were "somewhat uncomfortable" and 1 of 26 (4%) was "not at all comfortable" with caring for a patient after a complex acute respiratory distress syndrome PICU admission. Seven of 26 participants (27%) were familiar with the term "post-intensive care syndrome in pediatrics." Over 50% screened for four of five PICS-P domains. Key barriers were care coordination with specialists, discomfort or difficulties with managing new home equipment, and inadequate or missing documentation. In this pilot study, approximately one-third of primary care pediatricians had knowledge of PICS-P. Participants experienced numerous care barriers. Our findings suggest future research could engage improved study methods and designs, and focus on interventions to support primary care-provided PICU follow-up.

Enhancing occupational therapy service provision with military veterans through policy reform: Findings from a national survey.

Almost half a million Australians have served with the Australian Defence Force. Given the high prevalence of physical and mental health conditions and complexity of civilian life adjustment after military service, high-quality occupational therapy services are critical. However, there is limited description of occupational therapy service provision to individuals funded by the Australian Department of Veterans' Affairs to inform government policy. The aim of this study was to describe the practice of Australian occupational therapists working with former service members and identify opportunities to enhance practice and policy. A cross-sectional study using an online survey was conducted to collect information from occupational therapists providing services to Department of Veterans' Affairs clients. Frequency analyses were performed to describe quantitative data. Qualitative data were analysed using thematic analysis. No consumer or community involvement occurred. Participants included 123 Australian occupational therapists residing in metropolitan (47%), regional (28%) and rural/remote (23%) areas. Most occupational therapists (69%) had over 15 years of clinical experience and worked in private practice (87%). Common interventions included home modifications, equipment prescription and assistive technology (77%), goal-oriented rehabilitation (16%) and activities of daily living or function assessments and education (13%). Three themes describing practice issues were identified: (1) Service provision as rewarding yet underfunded, (2) Administrative complexity and lack of understanding of the occupational therapy role and (3) Need for specialist professional development opportunities. Australian occupational therapists are providing a range of services to Department of Veterans' Affairs clients although mostly relating to physical conditions. Occupational therapy practice with former Australian Defence Force members should be expanded to meet their diverse and complex needs. Further research and education are needed to support use of specialist knowledge and interventions. Advocacy by peak associations and policy reform are urgently required to ensure sustainable services, particularly in rural areas.

Remote administration of the short physical performance battery, the 1-minute sit to stand, and the Chester step test in post-COVID-19 patients after hospitalization: establishing inter-reliability and agreement with the face-to-face assessment

Purpose To assess the inter-reliability of the Short Physical Performance Battery (SPPB), the 1-min Sit to Stand test (1-MSTS), and the Chester Step Test (CST) via remote assessment in post-COVID-19 patients after hospitalization. Methods Twenty-five post-COVID-19 patients randomly performed the functional tests via remote assessment using a software platform at home and via face-to-face assessment at the rehabilitation center 24–72 h apart. One day before the remote assessment, all participants had a 1-h guidance session regarding the platform use, safety instructions, and home equipment preparation. Results Participants completed all tests for both assessment procedures without experience of adverse events. The mean age was 53 (SD = 10) years old, and the median days of hospitalization were 23 (IQR = 10–33). The inter-reliability was moderate for the total score in the SPPB: Cohen’s kappa = 0.545 (95% CI: 0.234 to 0.838), excellent for the number of repetitions in the 1-MSTS: ICC = 0.977 (95% CI: 0.948 to 0.990) and good for the total number of steps in the CST: ICC = 0.871 (95% CI: 0.698 to 0.944). Conclusion Remote functional assessments for SPPB, 1-MSTS, and CST indicated moderate to excellent inter-reliability in post-COVID-19 patients after hospitalization.