| Literature DB >> 35175881 |
Motti Haimi1,2,3, Anat Gesser-Edelsburg3,4.
Abstract
BACKGROUND: Telehealth has many benefits, in routine care and especially during times of epidemics in which restrictions to direct patient/healthcare-provider interaction exist.Entities:
Keywords: COVID-19; coronavirus; elderly; old; telehealth; telemedicine
Mesh:
Year: 2022 PMID: 35175881 PMCID: PMC8859483 DOI: 10.1177/14604582221075561
Source DB: PubMed Journal: Health Informatics J ISSN: 1460-4582 Impact factor: 2.681
Figure 1.PRISMA 2009 Flow Diagram.
Characteristics of the included studies.
| Author/Date | Country | Design of study | Type of telehealth | Period | Key outputs/Contents of consultation | Effects/conclusions |
|---|---|---|---|---|---|---|
| Yi, X et al. Aug 2020[ | Singapore | Descriptive/Case study | Community nursing team for old adults [4038 residents] | 7 Apr 2020 till Jun 2020 | • Teleconsultation | • Community nurses play a key role in health and social care services integration |
| • Home visits with essential needs | • Their efforts in empowering older persons on self-care proved to be beneficial during the pandemic | |||||
| • Virtual outreach, community outreach, and screening activities | ||||||
| • Practicing beyond the community: COVID-19 patients were admitted to appropriate facilities | • Community nurses moved smoothly from FTF consults toward teleconsultations and kept their services accessible during the pandemic | |||||
| Tan, Laurence Lc et al. Sep 2020[ | Singapore | Descriptive/Case study | Telemedicine specialist outpatient clinic (Tele-SOC) unit: run by 1 geriatrician and assisted by a geriatric nurse [15 patients] | 7 Apr 2020 till Jun 2020 | Video conferencing application | • Tele-SOC provided a good alternative to physical consultations for selected groups of the geriatric population in order to minimize their exposure to virus transmission |
| • All patients needed caregivers to set up the video conferencing application to participate in the Tele-SOC consultations | ||||||
| • Communication was deemed to be satisfactory by majority of the patients and caregivers | ||||||
| Fatyga, E et al. May 2020[ | Poland | Cross-sectional study | Telephone-based medical advice in the Silesia region in elderly patients with type 2 diabetes [ 86 patients] | 16 Mar 2020 to 31 Mar 2020 | • Telephone -based consultation | • The antidiabetic drug or its dose were modified using e-prescriptions in 22 seniors (26%) due to hyper or hypoglycemia |
| • None of the diabetics required urgent, additional contact with physicians due to comorbidities | ||||||
| • The subjects declared no symptoms typical of COVID-19, but everyone was following the individual rules of protection against SARS-CoV-2 infection | ||||||
| • The advice was focused on glycemic control, emotional status, and behavioral change | • Most of them felt anxiety because of the current situation and the risk of being infected with SARS-CoV−2 | |||||
| • Telemedicine can improve glycemic control and reduce anxiety in patients with type 2 diabetes during the COVID -19 outbreak | ||||||
| Cilia, R et al. May 2020[ | Milan, Italy | Descriptive/Case study | Telephone assistance and video consultations in patients with Parkinson’s disease [525 patients] | Mar 12th to 14 May 2020 | 1st step—remote telenursing assistance service (“ParkinsonCare”) | • The remote telenursing assistance was positioned as a new service outside the regular care facilities and was made available free of charge to patients |
| • Triage protocols were in place for specific common medical issues allowing for standardized assessment of the problem plus delivery of tailored advice | ||||||
| 2nd step—regulation-compliant video consultations with experienced neurologists | • The remote consultation service was operated by case managers, who were not originally part of the patient’s care team | |||||
| • The authors propose a two-pronged model to optimize the management of patients with parkinsonism | ||||||
| Ben Hassen H, et al. Jun 2020[ | Tunisia | Cross-sectional study | Internet of things (IoT), fog computing, and cloud computing [5 patients] | 2020 | Home hospitalization system [ especially for the elderly] based on the internet of things (IoT), fog computing, and cloud computing | • The system allows patients to recover and receive treatment in their homes and among their families, where the patients’ health and the environmental factors of the hospitalization rooms are monitored periodically, through a vital signs sensing unit and environmental sensing units that are installed in the hospitalization rooms and mobile applications developed for this purpose |
| • This system also enables doctors, patients, and their family to manage and monitor hospitalization operations through their mobile applications | ||||||
| • This system has received very good acceptance by patients and doctors | ||||||
| Akgül, A May 2020[ | Istanbul, TURKEY | Descriptive/Case study | WhatsApp and skype online platforms [22 patients] | 22 Mar 2020 to 5 Apr 2020 | 22 follow-up cases (mean age 68) of potential COVID-19 infections for new onset symptoms/signs in 65+ patients with lymphedema/venous disease | • The author performed appropriate recommendations for admission of the patients as well as their families to pandemic hospitals where available |
| • Followed-up patients who were treated for COVID-19 also received post-discharged advice for cardiovascular system | ||||||
| Motolese, F et al. Oct 2020[ | Italy | Prospective cohort study | Phone calls and EncephaLog HomeTM smartphone application for PD (Parkinson’s disease) patients.[54 patients] | Mar to May 2020 | • 54 non-demented PD patients who were supposed to attend the outpatient clinic were recruited | • Majority of patients were compliant and satisfied by the provided monitoring program |
| • They were provided with a smartphone application providing indicators of gait, tapping, tremor, memory, and executive functions | • some of the application outcomes were statistically correlated to clinical parameters, but further validation is required | |||||
| • Questionnaires exploring non-motor symptoms and quality of life were administered through phone calls | • Available technologies can be used for telemedicine, even in a population with limited skills and in a critical situation like a pandemic—which could considerably affect the health of neurological patients directly or indirectly | |||||
| Van Dijk, SDM et al. May 2020[ | The Netherlands | Prospective cohort study | Online therapy program [using “webex”] for older adults with chronic affective disorders and personality problems [4 patients] | 20-week period from Nov 2019 till Apr 2020 | • Four patients, aged 64−70 years, started our online program | • Therapists were positive about the online capabilities and resilience of patients to adapt to the new situation |
| • The usual treatment (given twice weekly in an open group) was transformed into an online program using “webex” with minimal changes | • Prejudices on limited effectiveness of online psychotherapy were counteracted | |||||
| • Sending homework by email and mail seems to facilitate therapy adherence | ||||||
| Truong, J et al. Oct 2020[ | New York USA | Retrospective review of patients 65 and older | The patients were evaluated remotely by a ED provider on a telemedicine platform a desktop or mobile phone (TH) during the local pandemic surge, in northern Manhattan/NY [ 140 charts] | From Mar 1, to 30 Apr 2020 | • Overall, 20% of patients in the cohort were advised to seek emergent care | • Telemedicine (TH) was used as a tool to shift non-emergent care from overburdened emergency departments and to provide routine and urgent healthcare to the community who were directed to self-isolate and often fearful of seeking care during the pandemic |
| • There was significant growth in use of TH (telehealth) from pre- pandemic period | • Geriatric telemedicine showed an exponential growth during the pandemic | |||||
| • TH program efforts to promote its use to redirect patients away from the ED were successful | ||||||
| Patel, S et al. Sep 2020[ | Ireland | Prospective cohort study | Remote video consultations by using mobile tablet technology. [657 residents of 16 nursing homes and other long-stay facilities] | From Apr 2020 [still going] | • Aiming to facilitate routine psychiatric and medical care in the local nursing homes and long-stay facilities in the northwest of Ireland | • Nursing homes and other long-stay facilities with their vulnerable older residents pose a significant challenge in providing routine care with the current necessary restrictions in place due to COVID-19 |
| • It is imperative that such care continues and the installation of mobile technology within these facilities provides a solution to these challenges | ||||||
| Weiss, Erica F et al. Nov 2020[ | NY, USA | Descriptive/Case study | Video visits [85 patients] | 18 Mar–18 May 2020 | • To effectively address the needs of the cognitively impaired older adults as well as their caregivers, a model was adopted and provided collaborative tele medical care to new and established patients with cognitive issues | • The CCARRE (coordinated care at risk/Remote elderly’ program) team included a bilingual/bicultural social worker and a neurologist conducting the telehealth visit with a patient and the identified healthcare proxy or caregiver on record |
| • 85 patients were evaluated as part of CCARRE during this period | ||||||
| • The coordinated team transition to telehealth, led to new insights into areas of urgent need for the diverse, cognitively impaired population and their caregivers | ||||||
| • The “coordinated care at risk/Remote elderly” program (CCARRE)- demonstrates a unique approach to reaching the culturally diverse and vulnerable population using telehealth | • The CCARRE model provided access to the healthcare system during a time when it was challenging to make contact with the primary care physicians | |||||
| • The authors support the use of telehealth as a complementary tool to in office assessments for their most vulnerable populations |
Figure 2.Types of telehealth applications used.
Evaluation tools of the telemedicine services described in the studies.
| Author/Date | Name of study | Design of study | Evaluation tool |
|---|---|---|---|
| Yi, X et al. Aug 2020[ | Community nursing services during the COVID-19 pandemic: The Singapore experience | Descriptive/Case study | • An online platform was created to assess the team’s readiness to tackle the COVID-19 outbreak and seek suggestions to overcome the challenges in view of the emerging situation and influx of information on the spread of COVID-19 |
| • The survey helped the senior management team to quickly evaluate the frontline community nurses’ responses to the pandemic as well as adjust the preparation work needed | |||
| • The survey showed that approximately 90% of the community nurses were confident in handling the outbreak situation | |||
| Tan, Laurence Lc et al. Sep 2020[ | Using telemedicine for outpatient geriatric care during the novel coronavirus outbreak: Experience from the first 15 patients | Descriptive/Case study | • The authors collected demographics and diagnoses of the first 15 patients who were seen by Tele-SOC [telemedicine specialist outpatient clinic] over a 2-week period |
| • Feedback was given by the patients or their caregivers (if patients were unable to provide due to a lack of mental capacity) via phone calls using a structured interview format based on a questionnaire created by Tele-SOC. | |||
| • The same set of questionnaires with variations in 4 questions was completed by the healthcare professionals | |||
| Fatyga, E et al. May 2020[ | The coronavirus disease 2019 pandemic: Telemedicine in elderly patients with type 2 diabetes | Cross-sectional study | • Semi-structured telephone interview was used in all patients, and this was based on the 5 topic areas: Current glycemic control, comorbidities, provision of medicines and food products, compliance with individual protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and anxiety associated with the current pandemic |
| Cilia, R et al. 20 May20[ | Telemedicine for parkinsonism: A two-step model based on the COVID-19 experience in Milan, Italy | Descriptive/Case study | • Over two-thirds of patients/caregivers (70%) provided positive feedback, comments were not provided in 28% of cases, and 2% were disappointed by the lack of home-care nursing |
| • Based on their successful experience during the COVID-19 crisis, the authors propose a two-pronged model to optimize the management of patients with parkinsonism | |||
| • The radically new element that the authors introduce here consists of a remote consultation service by case managers, who were not originally part of the patient’s care team | |||
| Ben Hassen H, et al. Jun 2020[ | A home hospitalization system based on the internet of things, fog computing, and cloud computing | Cross-sectional study | • To evaluate the home hospitalization system proposed in this paper, the authors have used the system usability scale (SUS), as this scale provides a fast and reliable tool for measuring ease of use and allows the evaluation of a variety of services and products, including mobile devices, mobile applications, and websites |
| • To detect most usability problems, it is acceptable to evaluate with five users; based on this, five hospitalized patients between the ages of 45 and 61 years and five doctors were selected to conduct usability testing | |||
| Akgül, A May 2020[ | Online counseling for new onset symptoms/signs in 65+ patients with lympho-venous diseases in the era of COVID-19 | Descriptive/Case study | • No evaluation exists |
| • According to the author—he performed “appropriate” recommendations for admission of the patients as well as their families to pandemic hospitals where available. Followed-up patients who were treated for COVID-19 also received post-discharged advice for cardiovascular system | |||
| Motolese, F et al. October 2020[ | Parkinson’s disease remote patient monitoring during the COVID-19 lockdown | Prospective cohort study | • The smartphone application EncephaLog Home™ was validated |
| • Subjects were phone-checked weekly throughout a 3-week period for compliance, upcoming issues, and for an evaluation questionnaire at the end of the observation period. The latter was sent to patients by email and mailed back to the physician via email or regular mail | |||
| • The analysis of data coming from the final evaluation questionnaire showed that 37 (84%) subjects evaluated their experience as “satisfying” (16, 36.4%) or “very satisfying” (21, 48%) and 21 cases (48%) perceived themselves as “safer” (17, 39.5%) or “much safe” (4, 9.3%) thanks to the RPM (remote patient monitoring). However, 17 (37.2%) required “occasional” support and 9 (21%) “frequent to regular” support by the caregiver. Similarly, a minority (11, 26%) perceived the app as difficult | |||
| Van Dijk, SDM et al. May 2020[ | (Vi)-rushed into online group schema therapy based day-treatment for older adults by the COVID-19 outbreak in the Netherlands | Prospective cohort study | • Treatment adherence was 100%. Patients felt being taken seriously |
| • The psychomotor therapy turned out to be much easier than expected, active movements (gymnastics), relaxation, and mindful exercises (e.g., tai chi) were well received by the patients | |||
| Truong, J et al. Oct 2020[ | From the COVID-19 epicenter: Using telemedicine to serve the needs of the geriatric population | Retrospective review of patients 65 and older | • The authors conducted a retrospective chart review of patients 65 and older who were evaluated remotely by an ED provider on a telemedicine platform |
| • Chart extraction methods were developed and performed by 5 emergency physicians | |||
| • Categories and characteristics were defined in advance and included demographics, technical limitations, referral to ED, and death occurring during the time of the chart review | |||
| Patel, S et al. Sep 2020[ | Ordinary care in extraordinary times | Prospective cohort study | • There is a future evaluation |
| • This project will be evaluated to assess the impact and feasibility of using mobile tablets in long-stay facilities during the COVID-19 crisis. All patients residing at 1 of the 16 long-stay facilities and undergoing a psychiatry of old age assessment using the mobile tablets will be recruited for this study | |||
| • A brief patient/keyworker and assessing staff satisfaction survey will be offered at the end of each consultation to assess the impact of the video consultations and evaluation of the service | |||
| Weiss, Erica F et al. Nov 2020[ | Telehealth for the cognitively impaired older adult and their caregivers: Lessons from a coordinated approach | Descriptive/Case study | • Feedback from patient, caregiver, and primary care providers were informally solicited |
| • Referrals to community-based organizations and clinical trials were made, as appropriated |
Qualitative assessment/risk of bias of the studies.
| The numbers 1 to 11 refer to the items of the tool |
| 1. Defining the source of information (survey, record review) |
| 2. Listing the inclusion and exclusion criteria for exposed and unexposed subjects or referring to previous publications |
| 3. Indicate time period used for identifying patients |
| 4. Indicating whether the subjects were recruited consecutively (if not population-based) |
| 5. Indicating if evaluators of subjective components of the study were masked from the participants |
| 6. Description of any assessments undertaken for quality assurance purposes (e.g., test/retest of primary outcome measurements) |
| 7. Explaining any exclusions of patients from the analysis |
| 8. Description how confounding was assessed and/or controlled |
| 9. If applicable, explaining how missing data were handled in the analysis |
| 10. Summarizing patient response rates and completeness of data collection |
| 11. Clarification of the expected follow-up (if any), and the percentage of patients with incomplete data or follow-up |