Effectiveness and feasibility of home-based telerehabilitation for community-dwelling elderly people in Southeast Asian countries and regions: a systematic review

Abstract

This systematic review aimed to evaluate the impact of home-based telerehabilitation on physical function among community-dwelling elderly people in Southeast Asian countries and regions, and to investigate its feasibility. A systematic electronic literature search was conducted in PubMed/MEDLINE and PEDro according to PRISMA guidelines. Randomized controlled trials conducted in the area that involved elderly people and any physical function indexes were included. Home-based telerehabilitation was defined as a specific remote rehabilitation intervention that used any kind of technological device allowing healthcare professional/patient interaction. Information regarding the effect and feasibility (intervention completion rate) of home-based telerehabilitation was extracted from eligible articles. We used the Revised Cochrane risk-of-bias tool for randomized trials to assess methodological quality of the included articles. Eventually, six studies were included as eligible articles. The overall risk of bias judgement was assessed as “High” in five studies. All studies were conducted in either China or South Korea, and heterogeneity in terms of participants’ health condition and intervention regimen was observed across the studies. Our narrative-based analysis showed that compared with conventional rehabilitation, either equal or better effects on physical function were reported across the six studies. The intervention completion rates were 81% ± 11 on average (range 59–96%). Although we could not obtain conclusive evidence due to limited relevant information with heterogeneity across the studies, our findings suggest that home-based telerehabilitation can be a strategy for rehabilitation service delivery with acceptable feasibility comparable to conventional rehabilitation for elderly people in the area.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40520-021-01820-3.

Introduction

Southeast Asian countries and regions are facing the challenge of global aging. In 2019, the number of elderly people in the area aged 65 years or older was estimated at approximately 261 million [1] This figure is expected to rapidly grow to more than 573 million by 2050, the largest increase ever in the world [1]. With the accompanying rise in multimorbidity and age-related health issues such as frailty, population aging will lead to a higher absolute number of elderly people with lower physical function, disability and poor quality of life [2]. Consequently, these elderly people susceptible to frailty impose a burden on health care systems and are becoming a threat to their own sustainability [2–4]. Effective, feasible and resource-sensitive strategies are needed to tackle this health issue in the area.

It has been well documented that hospital- and institution-based rehabilitation services, which typically include physical exercise, can be effective both from a health perspective (e.g., mitigating functional decline) and economic perspective (e.g., reducing health care costs) for elderly people [5, 6]. The unfortunate reality, however, is that numerous factors such as a shortage of rehabilitation personnel [7] and logistical (e.g., distance to service) and economic (e.g., affordability of services) barriers [8] prevent community-dwelling elderly people from receiving rehabilitation services in many Asian countries, especially in low- and middle-income countries and resource-restricted areas. To address this gap, new strategies to deliver rehabilitation services are necessary.

One promising solution to address this gap may be a telehealth care system, which uses information and communication technologies (ICTs) such as smartphones, videophones and the internet to provide cost-effective, quality and flexible health care services across geographic, time and economic barriers [9, 10]. Home-based telerehabilitation (HBT), one of the emerging fields of telehealth, is a strategy of rehabilitation service delivery that can be defined as the use of ICTs by a health professional to provide evaluation and rehabilitation interventions for people living at home [11, 12]. This new strategy has been promoted as a solution to the challenge created by an aging population [13, 14]. Additionally, this strategy, which can remotely provide rehabilitation services without or lowered physical contact with elderly people, could be an alternative to conventional, face-to-face and hands-on rehabilitation services during the coronavirus disease 2019 pandemic in which physical distancing is necessary to prevent infection of both vulnerable elderly people and health service providers with the virus [15].

Given the novelty of this service delivery strategy, careful consideration is required prior to implement the interventions. The Canadian Physiotherapy Association provides a 10-item checklist and recommends that practitioners ensure the validity of launching the services [16]. The first question in the checklist asks, “Is tele-rehabilitation appropriate for this client?” The appropriateness of adapting HBT intervention should be judged by health professionals taking into account broad aspects such as effectiveness, feasibility, client preference and ethical and privacy issues [17]. Having a broad range of expertise and evidence that allows health professionals to make sound judgements on the appropriateness of implementing an HBT intervention is crucial.

Over the past decades, several systematic reviews have reported supporting evidence on the effects and feasibility of HBT intervention [10, 18–24]. This literature provides an important basis for judging the validity of implementing the interventions. Nevertheless, from the context of global aging in Southeast Asian countries and regions, there are some difficulties in using and adapting this evidence. First, the scopes of these previous systematic reviews [18–22] were disease-specific examinations and validation of HBT among varied age groups; thus, these findings may not be generalizable to specific older age generations. Second, although a few systematic reviews [10, 23, 24] focused on elderly populations, they were mainly based on randomized controlled trials (RCTs) conducted in Western countries; thus, it is unclear whether these findings can be applicable to Asian countries and regions with different internet use [25, 26] and different cultures and languages than Western countries.

Therefore, important issues not yet addressed in previous studies are the effectiveness and feasibility of HBT among elderly people in Southeast Asian countries and regions. Thus, the aims of this systematic review were twofold. First, we evaluated the impact of HBT intervention on physical function among community-dwelling elderly people in Southeast Asian countries and regions. Second, to discuss the feasibility of HBT and potential contributing factors, we investigated and summarized completion rates and reasons for withdrawal from the HBT interventions along with safety-related data.

Method

We conducted and reported this systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [27]. See Online Resource 1 for a checklist of each component.

Search strategy

An electronic literature search was conducted in PubMed/MEDLINE and PEDro on 23 September 2020. The literature search was limited to articles written in English or Japanese and published from 1 January 2000 to the date of the search. We used a search strategy that combined Mesh (Medical Subject Heading) and free keywords and connected them with Boolean conjunctions (OR/AND). Keywords included wording such as telerehabilitation, “internet-based intervention”, “far east” and the name of each Southeast Asian country and region. The search strategy and keywords were elaborated through discussion and peer review between the two authors. Details of the search terms and search strategies in PubMed and PEDro are shown in Online Resource 2.

Eligibility criteria

In this systematic review, we only included RCTs that studied impacts of HBT intervention on physical function among elderly people in Southeast Asian countries and regions. Specific eligibility criteria for inclusion were defined according to the PICO framework (population, intervention, comparator and outcome) (Table 1).

Table 1.

Eligibility criteria for inclusion

Study setting	The location of the study setting was required to be in Southeast Asian countries and regions that consist of China, Hong Kong, Macau, Tibet, Korea, Mongolia, Taiwan, Japan, Borneo, Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Timor-Leste and Vietnam
Participants	The participants were community-dwelling elderly people living at home in Southeast Asian countries and regions. Average age of the participants was 60 years and older. No restriction was imposed on the participants’ health conditions
Interventions	Definition of telerehabilitation was quoted from a previous study12 describing the interventions as: provided by means of any kind of technological device allowing healthcare professional/patient interaction both on-line or off-line; provided by healthcare professionals or caregivers through remote supervision; including at least one specific intervention targeted to rehabilitation (e.g., teletraining at home, teleconsultation, teletreatment, and telemonitoring or telesurveillance)
Comparator	Comparators included either usual rehabilitation interventions, which were provided in-person in hospital/institution setting, educational intervention, or no specific interventions
Outcomes	Any kinds of physical function/motor performance (e.g., mobility, balance, strength, walking) were required to be reported in the articles

Study selection

Identification of potentially relevant papers and eligibility assessment were performed independently in a standardized blinded manner by the two authors. This process was divided into two phases. First, the titles, abstracts and authors’ affiliations were screened along with eligibility criteria by the authors. They assessed the relevance of each article for inclusion according to three options: “definitely relevant”, “possibly relevant” and “not relevant”. Second, they screened the full text of the articles judged as “definitely relevant” or “possibly relevant” in the 1st phase and made a final judgement on the articles according to two options: “relevant” or “not relevant”. In both phases, if disagreements regarding judgement of relevance arose, the two authors reached a final decision through negotiation. To assess the degree of agreement between authors, we calculated Kappa statistics for both phases. In our calculations, “definitely relevant” and “possibly relevant” in the 1st phase were merged into “definitely or possible relevant”. A P value of < 0.05 was considered to indicate statistical significance.

Data extraction

Data were extracted by TS and checked by KPI using a unified form. The extracted information included author, publication year, study setting (country or region), participants’ data (age, sex and medical condition), interventions data (ICT devices and platform, regimens of the interventions, presence or absence of in-person interventions during HBT, compared intervention and effects) and feasibility data (intervention completion rate, reasons for withdrawal from the intervention and adverse events during the intervention). In terms of potential factors contributing to feasibility, safety-related issues, which can be roughly divided into medical issues and technological issues (problems with ICTs) [17], are reported as the potential factors influencing compliance with the exercise intervention [17, 28]. Thus, we extracted these data along with medical safety measures used during the interventions and the participants’ skills and experience with ICTs.

Quality assessment

The two authors independently evaluated the methodological quality of the included articles using the Revised Cochrane risk-of-bias tool for randomized trials (ROB2) [29]. The ROB2 tool provides a framework for considering the risk of bias in the findings of any type of randomized trial. Five domains of bias are considered in ROB2: (1) bias arising from the randomization process, (2) bias due to deviations from intended interventions, (3) bias due to missing outcome data, (4) bias in measurement of the outcome and (5) bias in selection of the reported result. Each domain consist of several signaling questions for assigning one of three levels of risk of bias judgement to each domains: Low risk of bias, Some concerns or High risk of bias. These judgements of each domain eventually enable the assessor to make overall risk of bias judgements on each trial.

Results

Study selection

The study selection process is illustrated in the Fig. 1. In total, 422 articles without duplication were identified through the literature search. Of these 422 articles, 30 were assessed as “definitely relevant” or “possibly relevant”, and the remaining articles were considered “not relevant” in the 1st phase. After screening the 30 full-text articles in the 2nd phase, 6 studies [30–35] were identified as eligible studies for inclusion in this systematic review. Kappa statistics for judgements in the 1st and 2nd phase were 0.629 (P < 0.001) and 0.286 (P = 0.025), respectively. All disagreements on judgements were reconciled through negotiation between the authors.

Fig. 1.

Flow diagram of the study selection process in the systematic review. An electronic literature search was conducted in PubMed/MEDLINE and PEDro on 23 September 2020. In total, 422 articles without duplication were identified through the literature search. Of these articles, 30 were assessed as “definitely relevant” or “possibly relevant”, and the remaining articles were considered “not relevant” in the 1st phase. After screening of the 30 full-text articles in the 2nd phase, 6 studies were identified as eligible studies for inclusion in this systematic review

Overview of included studied

Characteristics of studies

Characteristics of the six eligible RCTs are summarized in Table 2. All studies were conducted in either China [32–34] or South Korea [30, 31, 35]. Participants’ health conditions, sample size and sex ratio varied widely across the studies. The health conditions included heart diseases [32, 33], pulmonary disease [31], cancer [35], stroke [34] and community-dwelling elderly without specific conditions [30], and the sample sizes and ratio of females (%) ranged from 13 to 50 participants and 0–55%, respectively. The ICT devices used in the HBT interventions were smartphones [31–33, 35] and personal computers [30, 34]. Four of the six studies [31, 33–35] developed a specific platform to administer their HBT intervention, and the other two studies [30, 32] used the common free apps Skype [30], QQ and WeChat [32].

Table 2.

Characteristics of the eligible six randomized controlled trials

	Hong et al. [30]	Kwon et al. [31]	Peng et al. [32]	Fang et al. [33]	Chen et al. [34]	Lee et al. [35]
Country	South Korea	South Korea	China	China	China	South Korea
Participants	Community-dwelling elderly people	Patients with COPD	Patients with heart failure	Patients after percutaneous coronary intervention	Stroke survivors with hemiplegia	Prostate cancer patients who underwent surgery or androgen deprivation therapy
Samples
Sample size at randomization (n)	Intervention: 13 Control: 13	Intervention 1 (fixed exercise): 27 Intervention 2 (fixed-interactive exercise): 30 Control: 28	Intervention: 49 Control: 49	Intervention: 40 Control: 40	Intervention: 27 Control: 27	Intervention: 50 Control: 50
Age (mean ± standard deviation)	Intervention: 82.2 ± 5.6 Control: 81.5 ± 4.4	Intervention 1 (fixed exercise): 64 ± 8 Intervention 2 (fixed-interactive exercise): 65 ± 7 Control: 64 ± 8	Overall participants: 66.3 ± 10.5	Intervention: 60.2 ± 9.35 Control: 61.4 ± 10.2	Intervention: 66.5 ± 12.1 Control: 66.2 ± 12.3	Intervention: 69.1 ± 7.21 Control: 69.8 ± 7.73
Ratio of females (%)	Intervention: 55 Control: 58	Intervention 1 (fixed exercise): 15 Intervention 2 (fixed-interactive exercise): 13 Control: 25	Intervention: 43 Control: 39	Intervention: 36 Control: 38	Intervention: 33 Control: 44	Intervention: 0 Control: 0
ICT devices
Tools	PC	Smartphone Wearable pulse oximeter	Smartphone Heart rate monitor	Smartphone Belt strap with a sensor (ECG, heart rate, type of activity, energy consumption, activity duration, walking and jogging speed and Global Positioning System location were recorded)	PC Muscle electricity biofeedback instrument and signal processing apparatus Physiological data collection system (body temperature, respiratory rate, pulse rate, blood pressure, and peripheral blood oxygen saturation were recorded)	Smartphone Wearable digital pedometer (Number of steps and minutes of physical activity were recorded)
Exercise platform	Common free software: Skype	Specially developed platform	Common free software: QQ and WeChat	Specially developed platform	Specially developed platform	Specially developed platform
Intervention
Telerehabilitation	Resistance exercise (12 weeks)	Walking exercise (12 weeks)	Walking/jogging exercise, muscular strengthening exercise (8 weeks)	Walking and jogging exercise with education booklet regarding life style and risk factors (6 weeks)	Physical exercises, ETNS and occupational therapy (12 weeks)	Aerobic and resistance exercises using Thera-Band (12 weeks)
In-person intervention during HBT intervention	Nutrition/exercise education (once every 4 weeks)	Consultation at hospital (once every 6 weeks)	None	Two home visits by a physical therapist during a 6-week interval to enhance their training in HBCTR programs, performed inside and/or outside of their homes	None	None
Compared interventions	Nutrition and exercise education	No special intervention	Discharge education and regular follow-up visits at the clinic	Paper-based and self-study coronary heart disease booklet and a biweekly outpatient review by assigned clinicians	Outpatient rehabilitation service was the same as that in the tele-supervising rehabilitation group, but it was carried out face-to-face with trained therapists	Exercise brochure and conventional pedometer/diary to record the number of steps, physical activity and resistance exercise sessions performed weekly
Outcomes and effects	Functional fitness scale (1) Lower limb flexibility: ++ (2) Cardiorespiratory fitness: + (3) Lower body muscle strength: + 4) Upper body muscle strength: △ 5) Upper body flexibility: △ 6) Balance and agility: △	6MWT: △	6MWT: ++	6MWT: +	BBS: + EMG signal: +	Physical functions (1) Cardiorespiratory endurance: + (2) Upper/lower extremity strength: + (3) Gait speed: +

Outcomes and effects:+ significant improvement in intervention group without significant group-time interaction; ++ significant improvement in intervention group with significant group-time interaction; △ no significant improvement in intervention group

COPD chronic obstructive pulmonary disease, ICT information and communication technology, PC personal computer, ECG electrocardiogram, ETNS electromyography-triggered neuromuscular stimulation, HBT home-based telerehabilitation, HBCTR home-based cardiac telerehabilitation, 6MWT 6-min Walk Test, BBS Berg Balance Scale, EMG electromyographic

The main component of the HBT regimens also varied across the studies: resistance exercise [30], aerobic exercises [31, 33], combination of aerobic and resistance exercises [32, 35] and physical exercise and electromyography-triggered neuromuscular stimulation technique [34] (Table 2). Of the 6 studies, 3 [30, 31, 33] were accompanied by face-to-face interventions during the HBT interventions. The compared interventions ranged from education and regular follow-up [30, 32, 33], outpatient rehabilitation services [34] and self-monitoring approach to physical activity using a conventional pedometer [35] to no specific intervention [31]. Given the heterogeneity in the study characteristics, it was not appropriate to carry out a meta-analysis. Thus, we conducted a narrative analysis of the six eligible studies.

Assessment of the risk of bias

Figure 2 summarizes the results of the risk of bias assessment using ROB2. The overall risk of bias judgement was assessed as “High” in all but one study [34], which was assessed as having “some concerns”. In terms of the results of risk of bias due to deviations from the intended interventions (domain 2), none of the 6 studies could blind the participants because they were always involved in and aware of the HBT. Thus, the risk of bias in domain 2 was assessed as “High” in most studies [30–33, 35], with one exception [34], which (1) provided identical interventions with only a difference in service delivery strategy between groups and (2) applied intent-to-treat analysis to minimize the influence of the bias. The risk of bias due to missing outcome data (Domain 3) was judged as “High” in 5 studies [30–33, 35], due to their considerably high attrition rates. In terms of the risk of bias in measurement of the outcome (Domain 4), a certain discrepancy in assessor blinding was found across the studies: assessor blinding was confirmed in three studies [31, 32, 34], but no specific description of its presence or absence was found in the other three studies [30, 33, 35]. All studies, however, were judged as having “Low” risk in domain 4 because their outcome measure was not participant reported, which can be potentially influenced by knowledge of the intervention received, leading to a judgement of at least “Some concerns” [29]. Regarding the risk of bias in selection of the reported result (Domain 5), only one study [34] had a protocol paper [36] published in advance. There was, unfortunately, a discrepancy between them in reported outcomes [34, 36]. Thus, risk of bias in domain 5 was judged as “High” or “Some concerns” in all six studies.

Fig. 2.

Summary of the results of the risk of bias assessment using the Revised Cochrane risk-of-bias tool for randomized trials

Effects of home-based telerehabilitation

The most common outcome used in the trials was the 6-min Walk Test (6MWT) [31–33], followed by a combined physical performance test [30, 35] and Berg Balance Scale (BBS) [35] (Table 2). Overall, either equal or better effects on each outcome were reported across the six studies in comparison with conventional rehabilitation. In the study of Peng et al. [32], for example, an 8-week HBT intervention of aerobic and resistance exercise for elderly people with heart failure was conducted, and its effects on the 6MWT were evaluated. The results showed that the 6MWT in the intervention group improved significantly after 8 weeks of intervention (baseline: 407 m, post intervention: 419 m), and its effects persisted for 16 weeks after the interventions (418 m) with a statistically significant group-time interaction. In contrast, the study of Kwon et al. [31] was the sole study in this systematic review to report a negative outcome of HBT interventions. They evaluated the effects of HBT intervention, which prescribed aerobic exercise using smartphone and a specially developed app (efil breath) for elderly people with chronic obstructive pulmonary disease. As a result, they were not able to find significant improvement in their outcome measure, the 6MWT, after a 12-week HBT aerobic intervention.

Feasibility of home-based telerehabilitation

Completion rate, reasons for withdrawal and adverse events (Table 3)

Table 3.

Completion rate, reasons for withdrawal and adverse events in the six eligible randomized controlled trials

	Hong et al. [30]	Kwon et al. [31]	Peng et al. [32]	Fang et al. [33]	Chen et al. [34]	Lee et al. [35]
Completion rate (n/n)	Intervention: 85% (11/13) Control: 92% (12/13)	Intervention 1 (fixed exercise): 59% (16/27) Intervention 2 (fixed-interactive exercise): 80% (24/30) Control: 79% (22/28)	Intervention: 86% (42/49) Control: 84% (41/49)	Intervention: 85% (34/40) Control: 88% (35/40)	Intervention: 96% (26/27) Control: 89% (24/27)	Intervention: 76% (38/50) Control: 86% (43/50)
Reason for withdrawal (n)	Intervention: 2 back surgery (1) post-test no-show (1) Control: 1 accidental fall (1)	Intervention 1 (fixed exercise): 11 withdrawal of IC (7) loss to follow-up (4) Intervention 2 (fixed-interactive exercise): 6 withdrawal of IC (4) loss to follow-up (2) Control: 6 withdrawal of IC (3) loss to follow-up (3)	Intervention: 7 discontinued intervention (3) loss to follow-up (4) Control: 8 discontinued intervention (4) loss to follow-up (4)	Intervention: 5 excluded (1) withdrew (3) lost contact (1) Control: 6 excluded (1) withdrew (4) lost contact(1)	Intervention: 1 refused (1) Control: 3 stroke reoccurrence (1) refused (1) lost contact (1)	Intervention: 12a delayed medical history report (2) Control: 7 personal reason (2)
Adverse events	No description	No description	No patient had any significant complications, adverse outcomes or problems with the use of QQ and WeChat software during the program	No description	No therapy-related adverse events were recorded during the entire process	No description

IC informed consent

^aReasons for other drop-outs are not described

Completion rates were reported in all studies: an average of 81% ± 11 (range 59–96%) in the intervention group and 86% ± 4.1 (range 79–92%) in the control group (Table 3). Most studies [30–34] described the reasons for withdrawal, such as no-shows, withdrawal of informed consent and loss to follow-up. Specific reasons or background information for these withdrawals, however, was not described clearly in all studies. Two studies [32, 34] clearly reported that no adverse events occurred during the HBT interventions, whereas the other 4 studies [30, 31, 33, 35] did not specifically describe adverse events.

Potential contributing factors to feasibility (Table 4)

Table 4.

Potential factors contributing to feasibility among the 6 eligible randomized controlled trials

	Hong et al. [30]	Kwon et al. [31]	Peng et al. [32]	Fang et al. [33]	Chen et al. [34]	Lee et al. [35]
Safety measures
Physiological data sensors	None	SpO2, HR	HR	ECG, HR	SpO2, HR, body temperature, respiratory rate and blood pressure	None
Supervision by other than health professionals	None	None	Patients’ caregivers were asked to accompany them during training sessions in case of emergency	None	Caregivers were required to supervise and assist the survivors with rehabilitation training during the therapy and to regularly keep training logs	None
Others	Checking the Borg Rating Scale	The mobile phone vibrates when SpO2 falls below 90% in both apps, prompting the patient to pause. The website also allows health care professionals to view a list of patients with low SpO2 (< 90%) and those experiencing breathing difficulties (Borg scale score ≥ 7) who need closer monitoring during the use of the app	Each patient was given a HR monitor and was instructed to wear it during exercise and to report his or her real-time HR so that the rehabilitation doctors could adjust the training intensity accordingly. The patients were also asked to report to the doctor and stop exercise immediately if they experienced signs or symptoms of physical distress, such as weakness, shortness of breath, chest pain, and nausea	In case a patient experienced physical discomfort during the intervention, the patient could make an emergency call by pressing one button on the mobile phone. In addition, the sensor would activate a warning and an emergency call automatically if it detected (1) clinically significant ECG changes; (2) interrupted data connection and collection; (3), HR exceeding normal range; or (4) a patient falling down	–	Checking the Borg Rating Scale
Participants’ ICT skills/experience	None	Android smartphone owner	Being able to use WeChat or QQ software via a smart phone	Being able to accept, receive, and send mobile phone messages	None	Patient allocation was adjusted according to access to an Android smartphone

ECG electrocardiogram, HR heart rate, ICT information and communication technologies

We summarize the data on potential contributing factors to feasibility, specifically medical-related safety issues (safety measures during the HBT intervention) and technology-related safety issues (participants’ ICTs skills/experience) in Table 4. As a safety measure, in the four studies [31–34] in which participants with cardiovascular and pulmonary diseases were recruited, a physiological data sensor was used during exercise that commonly collected heart rate and SpO₂ data. Additionally, the protocol of two studies [32, 34] also required caregivers to accompany their participants during the intervention. Finally, we found that only four studies [31–33, 35] imposed some kind of inclusion criteria based on the participants’ ICTs skills/experience. No restriction regarding this prerequisite condition was imposed in the other two studies [30, 34].

Discussion

Key points

To our best knowledge, this is the first systematic review to focus on the impact of HBT interventions and HBT feasibility among elderly people living at home in Southeast Asian countries and regions. We identified 6 RCTs through a systematic literature search and found that all six trials were conducted in either China or South Korea; no other trials meeting our search strategy were conducted in the other countries within this area. This implies that HBT intervention has not penetrated well in the area, and HBT development across the area may be still in its infancy. Although the exact reason for this is unclear, one promising background factor is the fact that these two countries are leading countries in internet usability. As of June 2020, China had the largest percentage of internet users in ASIA (854 million people representing 37.1% of the total Asian population), and South Korea has the highest internet penetration rate of 96.0% (the average rate across Asian countries and regions is 53.7%) [26]. The favorable internet usability environment in these two countries may have boosted HBT intervention and its development.

In the present review, compared with conventional rehabilitation, the HBT interventions showed either equal or better effects on elderly people’s physical function with an acceptable rate of intervention completion. Although we could not obtain conclusive evidence due to limited relevant information with wide heterogeneity across the studies, our findings suggest that HBT could be an alternative strategy for the delivery of rehabilitation services for elderly people living at home in the area. We believe the present study provides an accurate systematic overview of the currently available evidence and suggests certain prospects for further research in this field.

Effects

The primary finding of this study was that HBT is likely to play an active role in improving physical function among elderly people in Southeast Asian countries and regions. This finding is in line with previous systematic reviews that reported positive impacts of remotely monitored cardiac telerehabilitation (CR) [23] and telemedicine [24] among elderly people. Batalik et al. [23] systematically reviewed articles on remote CR programs and reported in their narrative-based analysis that remote CR programs appear to be at least as effective in improving cardiovascular risk factors and exercise capacity as traditional center-based programs among patients with an average age of 60 years. Similarly, Batsis et al. [24] conducted a systematic review aiming to reveal the potential of telemedicine (including telerehabilitation) and concluded that telemedicine is a useful modality of health service delivery to older adults. Importantly, however, the findings of these previous systematic review studies were based on RCTs mainly conducted in Western countries and could not necessarily provide specific evidence relevant for Southeast Asian countries and regions. The present systematic review revealed additional evidence that HBT appears to be as effective as other conventional service modalities among Southeast Asian elderly populations, similar to those in Western countries.

Although our review provides relevant evidence that helps to fill a gap in knowledge regarding the effectiveness of HBT among elderly people in Southeast Asia, the methodological quality of the included studies did not allow us to obtain robust evidence as 83% (5/6) of the studies were judged to have “High” risk of bias. Furthermore, the heterogeneity of the participants’ conditions, intervention regimens and outcomes did not allow us to conduct a meta-analysis or obtain a definite conclusion. Thus, careful consideration is required when interpreting our findings. The poor methodological quality of and heterogeneity in telehealth-related studies was also reported in previous systematic reviews [10, 18, 20, 21]. Batsis et al. [24] insisted that there is a critical need for high-quality studies investigating the impact of telemedicine interventions in older adults. Performance of further studies taking into account these implications is crucial.

Feasibility

In our review of the feasibility data across the included studies, the intervention completion rate was available in all studies and was approximately 80% (range 59–96%) in the HBT intervention group. This figure appears to be comparable with a previously reported figure for the HBT completion rate among elderly people with mild to moderate disability in Australia (92%) [37], those with mild cognitive impairment in Italy (65%) [38], those with acquired brain injury in Israel (62%) [39] and those suffering from acute myocardial infarction in Italy (100%) [40]. The systemic review by Jonker et al. [10] also reported the completion rate of perioperative eHealth interventions among elderly people in Western countries, in which, unfortunately, telerehabilitation intervention was not necessary included, to be 54–95%. Although a direct comparison of findings between the present study and these previous studies is difficult due to discrepancies in the intervention regimens, participants’ conditions and countries, our findings were consistent with these previous studies. Our findings imply that HBT intervention might be an acceptable rehabilitation strategy for elderly people in Southeastern Asian countries and regions.

In contrast, there was less emphasis on reporting other aspects of feasibility such as the specific reasons for withdrawal from the intervention and adverse events during the intervention. The CONSORT 2010 guideline for reporting of RCTs [41] recommends that researchers describe this information. These descriptions are crucial and informative for clinical practitioners and researchers because this information enables them to make their intervention more user-friendly and safe, and to prevent further drop-outs/accidents in their clinical practice or research project. Crotty et al. [37] described specific reasons for withdrawal from their HBT intervention among elderly people, such as “one person withdrew from the program after finding the technology too stressful” and “one person withdrew because the technology was perceived as being too challenging”. These description allow readers to judge the appropriateness of the intervention and can provide an opportunity to simulate it or design a program more feasible for their own clinical practice or research project. No studies in our review provided specific information on withdrawal, and few studies described the occurrence of adverse events during the interventions, indicating that these aspects of the feasibility of HBT interventions may not necessarily be documented well in this field. Further studies documenting this relevant information that can contribute to improving the feasibility of HBT interventions are necessary.

Potential factors contributing to feasibility

Safety issues, which include medical and technical issues, are pivotal for successful HBT interventions and can be a potential contributing factor to feasibility [17, 28, 42]. Indeed, according to in-depth interview studies investigating elderly patients’ experiences with a HBT intervention [43] and a program of computer literacy and education [44], some elderly people are concerned about these issues during the remote telehealth intervention, as indicated by statements such as “some equipment (e.g., dumbbell) might hit themselves on the head” [43] and “it is important that technical assistance is organized if I have problems using the system” [44]. These factors can potentially influence their acceptance of, adherence to and completion of HBT interventions [43, 45].

The present study showed that safety measure during the HBT intervention varied across the included studies. Given the nature of the participants’ varied health conditions in the examined studies, observing various kinds of safety measure across the studies is rational, and certain trends were observed.

First, more emphasis on monitoring vital signs was present during the HBT intervention for elderly people with cardiovascular and pulmonary diseases. Use of these kinds of real-time monitoring systems during remote interventions has been reported in previous studies focusing on heart disease [28, 46] and chronic obstructive pulmonary disease [47]. Piotrowicz [46] argued that supervision using a remote monitoring system during remote interventions for patients with heart failure is a mandatory element for its success.

Second, in a few studies, supervision by other than health professions is required during the HBT intervention. Such supervision during remote intervention was also requested in another previous study to ensure participant safety [48]. Tousignant et al. [48], in their proof-of-concept study of telerehabilitation for older adults, reported that a research assistant was in the home of their participants during their telerehabilitation sessions for safety reasons. Eventually, although no adverse incidents occurred during the delivery of the telerehabilitation services, they insisted that a non-professional person (spouse, child, etc.) should be present at home to facilitate and optimize some of the interactions between the clinician and the participants [48]. Moreover, the Australia Physiotherapy Association also recommends supervision by a family member or caregiver during remote interventions as an example of a safety measure to mitigate the risk of falling [49].

To our knowledge, there is no global standard describing medical safety measures during the HBT interventions. As a first principle viewpoint, however, it is rational to believe that the client’s safety needs to be comparable to that when service providers are physically present with the client [17, 49]. Thus, safety measures should be tailored to individual participants’ conditions and should be varied depending on their conditions during the HBT interventions, as with hospital- or institution-based intervention.

In terms of safety issues relating to technology, we found that eligibility criteria regarding ICTs skills/experience was imposed in two-thirds of the included studies, and only elderly people who appeared to be competent in using ICTs were likely to be enrolled in these trials. From the viewpoint of researchers, imposing these inclusion criteria is understandable to prevent technology-related problems and drop-outs during the intervention and to ensure successful completion of their clinical trials. However, these inclusion criteria may also impact the feasibility of HBT interventions and may hinder clinical practitioners in obtaining true figures on the feasibility of a HBT intervention.

Technology-related issues are a common challenge when planning and implementing a HBT intervention for elderly people because of concerns about usability, adherence and availability of the technology [50]. These concerns can arise from functional decline due to normal aging (e.g., in cognitive function, hearing/vision and gross motor skills), sequelae of their health condition for which HBT intervention is required [51] and their unfamiliarity/apprehension when using the technology [45]. Moreover, gender [52] and socioeconomic variables [50] can influence the usability of digital health technology. To capture true figures regarding the feasibility of HBT interventions, further studies that take these variables into account and examine their influence on patient acceptance of, adherence to and completion of HBT interventions are needed.

Limitations

There are some limitations to this systematic review. First, some publications may have been missed from our review due to limited use of research databases and language bias. Although our electronic literature search was conducted on PubMed/MEDLINE and PEDro, other research databases such as EMBASE and the Cochran Library were not used due to accessibility issues. Moreover, our review only included articles written in English or Japanese and, thus, did not cover articles written in other languages, especially local languages of the Southeast Asian countries and regions. Given that our focus is Southeast Asian countries and regions, this language bias might seriously impact our results and must be acknowledged when interpreting them. Second, the focus of our review was limited to physical function, as an outcome measure of HBT, and completion rate of the intervention, as an index of the feasibility of HBT. Other outcome measures, such as age-related pathological condition of skeletal muscle (e.g., sarcopenia) [53], activity of daily living and quality of life, and feasibility indexes, such as intervention acceptance, adherence and service satisfaction, should be studied. Furthermore, cost-effectiveness should also be evaluated in further studies. Third, we only included elderly people living in their own home, and thus, our findings cannot be generalized to elderly people living in specific institutions such as a nursing home. Finally, as previously mentioned, we could not conduct a meta-analysis due to heterogeneity across the included studies. HBT interventions need to be conceptualized, coded, classified and grouped in a similar way to ensure their homogeneity and to enable researchers to conduct both direct comparisons between research and meta-analyses.

Conclusion

In the present review, the HBT intervention showed effects on physical function comparable to those of conventional rehabilitation and an acceptable rate of intervention completion by elderly people living at home in Southeast Asian countries and regions, implying that HBT intervention may have the potential to become an alternative strategy for the delivery of rehabilitation services to these elderly people. These encouraging findings should be supported by further uniformly conceptualized studies with high-quality methodology to provide conclusive evidence on the effects and feasibility of HBT.

Supplementary Information

Below is the link to the electronic supplementary material.

Author contributions

TS and KPI designed the study, collected and analyzed the data, interpreted the results, and prepared the manuscript. KPI supervised data analysis and manuscript preparation.

Funding

No funding was received for conducting this study.

Availability of data and material

All data generated or analyzed during this study are included in this published article and it supplementary information files.

Code availability

Not applicable.

Declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclosure.

Ethics approval

Not applicable.

Informed consent

For this type of study formal consent is not required.

Consents to participate

Not applicable.

Consents to publication

Not applicable.

Human and animal rights

Not applicable.