Analysis of Factors Influencing Telemedicine-Based Psychiatric Extended Care and Care of Psychiatric Patients.

The aim of this paper is to understand the current situation of the care burden of patients with mental illness in remission and the factors affecting it in order to provide a scientific basis for targeted interventions. This paper reviews the concept of telemedicine, the application of telemedicine in home hospice care, and the remaining problems and improvement strategies of telemedicine in home hospice care, with the aim of providing a reference for the application of telemedicine in home hospice care in China. The Zarit Burden Scale, Family Care Scale, and Social Functioning Scale were used to conduct one-to-one interviews with 201 schizophrenic patients in remission and their primary caregivers in Hubei Province. Among them, 66, 72, and 25 cases (32.8%, 35.9%, and 12.4%) had mild, moderate, and severe burdens, respectively. Caregivers' family care and patients' social functioning were generally poor. The results of multiple linear regression analysis showed that caregiver age, caregiver education, caregiver family care, patient medical costs, and patient social functioning were factors influencing the burden of care for patients with schizophrenia in remission (P < 0.05). The government, mental health centers, and families should understand the level of caregiving burden of patients with schizophrenia in remission and the factors influencing it and provide targeted measures to reduce the caregiving burden.

1. Introduction

Hospice care is the integration of physical, psychological, social, and humanistic care for individuals of all ages who are suffering from severe health-related distress due to serious illness, especially at the end of life, thereby improving the quality of life of patients, families, and caregivers [1]. With an aging population and a changing disease spectrum, the incidence of cancer and chronic diseases and the mortality they cause are increasing every year [2]. Globally, approximately 40 million end-of-life patients require hospice care each year, but only 14% of those dying have access to hospice care [3]. Many hospice patients who receive hospice care choose home-based palliative care (HBPC) over active treatment in hospitals [4]. A multidisciplinary team trained in hospice care provides physical, psychological, social, and humanistic care to patients [5].

Schizophrenia is a heavy chronic mental illness with cognitive, affective, and volitional behavioral disorders, mostly in young adults, with high relapse and disability rates and prolonged illness. 2010 data from the Chinese Center for Disease Control and Prevention showed that more than 7.8 million people have schizophrenia in China, with a relapse rate of 81.4%, and the incidence is increasing year by year due to a variety of factors [6]. Patients with schizophrenia basically must return to long-term family life after clinical treatment, with family members assuming the main caregiving role. Reference [7] has shown that due to the long-term care of patients with schizophrenia, the physical and psychological health of caregivers is not optimistic, and their quality of life is seriously reduced, making them a vulnerable group for mental illness. The aim of this paper is to understand the current caregiving burden of primary caregivers of schizophrenia patients in remission and its influencing factors, in order to provide a scientific basis for targeted interventions.

The application of telemedicine has broken through the limitations of traditional medical care models and has provided HBPC patients and their caregivers with high-quality, continuous medical, and nursing care at home. While telemedicine has been studied to some extent overseas in HBPC patients, it is still in its infancy in China. Therefore, this paper examines the application of telemedicine in HBPC in China and abroad. The purpose of this paper is to provide a reference for the application of telemedicine in HBPC in China.

Telemedicine is a dynamic, progressive, and evolving medical technology, and its definition is constantly being updated; in 1997, the World Health Organization defined it as the use of information and communication technologies by health care professionals to provide disease prevention, diagnosis, and treatment services to patients remotely and to provide distance education services to health care providers [8]. The provision of medical services by medical personnel from one area to another, thereby, improves the health of patients. Telemedicine applications include smartphones, computers, and wearable devices, and applications include telehealth management, remote diagnosis, remote surgery, and remote education [9]. As the scope of telemedicine applications continues to expand, it has gradually been applied to home services for HBPC patients in recent years.

2. Related Work

A Japanese study used telephone follow-up for terminally ill patients with home healthcare services, where healthcare professionals followed up on the patient's symptoms, issues that caregivers needed to address, vital signs, and other clinical indicators (e.g., blood pressure, pulse rate, and oxygen saturation), and provided targeted advice to patients and their families on issues that needed to be addressed, showing that the use of home healthcare services resulted in a significant reduction in the number of hospital visits and care costs were significantly lower with the adoption of home healthcare services [10]. In a study led by oncology nurses in China, patients with psychiatric disorders were followed up at home by telephone at weeks 1, 2, 4, and 8 after discharge from the hospital. The results show that telephone follow-up has an important role in improving the quality of life and symptom management of discharged psychiatric patients [11].

An Austrian study used an app in a tablet for videoconferencing follow-up of psychosis at home, using videoconferencing to allow physical assessment of patients and facilitate personalized management and care of patients, as well as using the app to record patients' vital signs as well as ongoing treatment and other parameters (e.g., pain levels, nutrition, and body mass) and to provide visual graphical data [12]. Information modules related to symptom management, treatment advice, and caregiving skills training are also provided for learning by patients and their caregivers. The results demonstrate that this tablet-based application can improve patients' symptoms and quality of life [13].

Approximately 80% of people with psychosis and 67% of people with COPD experience moderate to severe pain, respiratory distress, and other symptoms at the end of their lives [14]. Pain management is the most important symptom management task for people with HBPC, but people with HBPC lack a consistent and systematic approach to symptom management. In [15], a communication and monitoring application “TapCloud” was designed for 101 HBPC patients to meet their medical needs through symptom monitoring and management, personalized care services, medication usage, and adverse reaction management.

This study used the Edmonton Symptom Assessment Scale (ESAS) and the Palliative Performance Scale (PPS). The patients were assessed in real time using ESAS and PPS. After the patient has been scored, healthcare professionals are able to quickly identify changes in the patient's physical condition and symptoms in Tap Cloud, and clinicians will immediately send interventions to the patient and provide remote guidance to help relieve pain, medication management, physical condition checks, and so on. Results showed that 82% of patients experienced a reduction in pain, 78% experienced a reduction in breathlessness and 90% experienced a significant improvement in depression following the Tap Cloud intervention. A pain map app was developed for breast cancer patients by [16]. The app directly visualizes the patient's data on the body map, with black areas indicating painful areas and white areas indicating nonpainful areas, and the larger the black area, the darker the color. The pain map can accurately and objectively assess the location, frequency, and severity of pain in breast cancer patients, providing a reference basis for clinical staff to monitor and manage pain symptoms in breast cancer patients during home follow-up.

Patients with mental illness can reduce their pain levels and improve their quality of life by receiving telemedicine guidance [17]. Reference [18] used an application (“VSee”) on a tablet computer to deliver a telemedicine intervention to 15 patients in the intervention group with advanced psychosis at home, which recorded patients' vital signs, monitored pain levels, and could be used by doctors to monitor and manage. It also provides information modules on symptom management, treatment consultation, and caregiving skills training for patients and their caregivers. The intervention group and their caregivers are met weekly by health care professionals in a webcam session to discuss how to improve the symptoms of HBPC patients and improve the caregiving skills of family carers, while the control group is provided with routine care at home. The patients were assessed using the Hospital Anxiety and Depression Scale (HADS) and the Quality of Life Scale (QoL). The results showed that after 10 weeks of intervention, the HADS score was lower than the control group (P=0.042) and the QoL score was higher than the control group (P < 0.001). 78.6% of HBPC patients felt that their depressive symptoms had decreased and their quality of life had improved. By providing symptom management and comfort care, patients' physical and psychological burdens were alleviated and their quality of life improved, but the study also had some limitations due to the small sample size.

3. Demand Analysis

Through a survey of the current situation at home and abroad, and by integrating the existing mechanical structure of the whole service robot, we can basically determine the design direction of the whole monitoring system, but this is not enough to develop a stable monitoring system that can be put into production, so we hope that this chapter can start from customer needs and functional requirements and gradually summarize the functions that each subsystem or module should have, so as to pave the way for the design and development of the later chapters.

3.1. User Requirements

In the current situation, most of the advanced medical facilities and excellent medical specialists are in the eastern and coastal cities, with most of the population still in the mid-west and with relatively limited financial means. However, the population is indeed the largest, and with the increase in the price of labor and the growth in population numbers, healthcare is now very expensive [19]. Difficult and expensive access to medical care has become a common phenomenon. In particular, when faced with chronic illnesses that require long-term care, most people cannot afford to pay for medical care but cannot work if they care for themselves at home.

Due to the current situation in China, the difficulty and expense of treating patients cannot be solved overnight. Therefore, in most families with a medium or low income, there is an urgent need for a robot that can remotely monitor the patient's real-time condition and various physiological parameters at any time and automatically alert the patient in case of abnormalities, thus maximizing patient safety. When the patient wishes to turn over in bed, sit or stand up, urinate, or defecate, the family can also do so by remote control or by the patient pressing a switch for maximum rest and recuperation for the patient [20].

3.2. Functional Requirements Analysis

A service robot remote monitoring system is a large, complex, and multifunctional system. In order to meet the various functions that can be compatible and efficient operation, the system needs a modular design combination of individual functions on a large platform, to meet the design requirements.

The entire video interaction includes video capture, transmission, and instant reception of the video at the other end. The whole process is done through the Yunglian cloud instant messaging technology when both parties have Internet access. When a video interaction is required, the mobile phone simply opens the remote monitoring system, turns on the video call function, and sends a request to the server, thus completing the dual connection. The overall structural framework is shown in Figure 1.

Figure 1

Diagram of audio-video interaction.

In the daily care of patients, frequent body changes are necessary for the circulation of blood and to avoid bedsores in long-term bedridden patients. However, this is a long, frequent, and demanding task that requires a constant presence of a carer. This task can be replaced by a robot, which frees the carer from the tedious task. The system uses four linear motors to control the four functions of the care bed: bending the legs, turning left and right, lifting the back, and switching on and off the toilet. The system controls the rotation of the motors in two ways [21]. One way is through remote control, where the family can access the system on their smartphone from a distance and control the bed via the function indication keys in the system, and during the control process, they can also observe exactly what is happening after the manipulation via video, so that they can be aware of what is happening. The other way is through the control handle next to the care robot, which can be used by the patient himself when he wants to change position or urinate. The combination of these two methods makes the whole system more user-friendly, as shown in Figure 2.

Figure 2

Schematic diagram of bed posture control.

As a software monitoring system, the system itself must be equipped to acquire, analyze, and store data. In this system, the patient's recent physiological parameter data, user role account information, system customization information, and so on all need to be managed by the corresponding data module. In view of a large number of users and the high frequency of data collection, we need to set up our own APP server on the cloud service side to handle the data, user-defined data and other data, using the database storage that comes with the Android system. Figure 3 is system information storage system.

Figure 3

System information storage system.

4. Overall Detailed Design of the Remote System

4.1. Posture Control Module for Nursing Robots

The essence of posture control in nursing robots is to control the movement and rotation of the various components of the nursing bed by controlling the on/off, forward, and reverse rotation of the individual servo motors, thus helping the patient to complete the posture change. The posture control is divided into remote monitoring control and local control of the patient [22].

The motor drive of the multifunctional nursing beds is controlled directly by the corresponding electric controller. The control handle is connected to the motor drive controller and indirect logical control of the motors is achieved through the closure of the corresponding lines by means of individual buttons on the handle. During the entire operation of the bed, the drive controller is responsible for converting the voltage and providing the appropriate power supply to the individual motors.

The Android development platform provides a Bluetooth interface for us to call to achieve Bluetooth communication, which allows devices to develop their own software to call the Bluetooth interface and other Bluetooth devices for wireless data communication. In this case, the application layer will implement Bluetooth communication by calling the Android Bluetooth-related interface. In this system, the data communication between the Android tablet and the Bluetooth relay is done in four steps: turn on Bluetooth; find the Bluetooth relay device; connect and pair the device; interact with the data between the two devices.

At this point, the Android tablet is connected to the Bluetooth relay and the data can be interacted with. The Bluetooth relay simply receives the data from the Android tablet. We just need to program the control commands. In this system, the Bluetooth relay functions in the same way as the joystick in the local posture control, by controlling the motor rotation through the closing of the corresponding line. Two interfaces are split via a splitter, one to the control handle and the other to the Bluetooth relay, for joint control. However, for safety reasons, the Bluetooth relay takes precedence over the local control of the motor drive controller. How the Android tablet side interacts with the remote side will be studied in detail in the instant messaging section [23].

4.2. Client-Server Interaction Design

Common client-server architectures are B/S (Browser/Server) and C/S (Client/Server), which require a browser to display the data and have some of the business logic on the front end and the main business on the server side. This will undoubtedly increase the burden on the server and reduce the stability of the system [24].

The C/S architecture, however, allows for a reasonable distribution of tasks. However, this can only be achieved by installing a separate client. This architecture is easy to develop and simple to operate. Considering the server's capacity and the fact that the majority of patients are elderly, the system is designed to be user-friendly by using a C/S architecture. This allows the server to receive and respond to data requests from the client. It then makes a response operation and gives feedback to the client. Its architecture is schematically shown in Figure 4.

Figure 4

C/S structure.

The client receives information back from the server and can make operations and data requests as appropriate. A server is not just a large processor that runs 24 hours a day in a server room. The essence of a server is to be able to process data requests or data information sent by other devices, and any device that can do this can be called a server.

In this system, as the server requirements are not particularly high, and in order to save on project costs, the Android tablet assigned to each service robot is used as a remotely accessible server without affecting the speed of the system. This small server will only be used for data storage and local monitoring of the video collected by the wearable medical device.

When any computer device exchanges data and shares information resources, it must comply with certain communication protocols. Communication protocols are also the rules that servers and clients must follow to communicate. They specify the format of the data, the connection methods, the segmentation and timing of the messages to be sent and received, and so on. In this system, the communication protocol used for remote communication is XMPP (Extensible Messaging and Presence Protocol), an open real-time communication protocol based on XML (which will be explained in detail later), which was proposed to solve the problem of instant communication. It inherits and develops the flexibility and extensibility of the XLM language so that it can easily pass-through firewalls, and a transport system built using XMPP can communicate between different applications, a feature that is urgently needed in our system [25].

The XMPP protocol also uses a C/S architecture, which matches the architecture of our entire system build. In this architecture, the protocol defines three roles, server, client, and gateway. Messages can interact with data at any two of these three. Figure 5 presents XMPP generic architecture.

Figure 5

XMPP generic architecture.

The server is responsible for receiving information from clients and managing the XML data flow between other entities. In addition to this, it is also responsible for logging in and storing information from clients, connection management, and querying information sources.

The gateway is in fact a special server whose main role is to convert the data format. It enables the client to get the type of data it wants and facilitates its parsing. It mainly undertakes the interconnection in instant messaging work; instant messaging is mainly used in this system for audio and video, short message connection functions. The client, which is also the party to which we send data requests and receive data, is able to connect to the server via TCP/IP protocol and send data request connections to the server via XMPP. Each client server will be distinguished by the XMPP address.

4.3. User-Defined Data Storage

As a complete app, it is essential that data are stored and queried. In particular, it is not necessary to store data about user optimization of the interface in some large remote databases [26].

JDBC is a set of interfaces defined by the JDK itself, which is implemented by different data vendors and underpinned by a driver provided by MySQL, as shown in Figure 6.

Figure 6

JDBC architecture diagram.

In the process of using, we first register the Driver Manager driver and then get the connection object through the Driver Manager get connection method and then call the create Statement method to get the Statement object, through which the Statement object can execute the corresponding SQL statements to implement the add, delete, and check functions [27]. The other way is to create it through the API provided by Android, whose core classes are SQLiteOpenHelper and SQLiteDataBase. First, we need to create a class that inherits SQLiteOpenHelper and implements the constructor of the parent class.

4.4. Physiological Parameter Collection

The design of this module includes the acquisition and transmission of physiological parameters such as ECG, temperature, pulse, and blood oxygen, which are transmitted wirelessly over the body area network. The core and difficult issues are the wide variations in the acquisition methods of the different physiological parameters and the communication interaction between the different modules in the body area network.

The ECG is a periodic bioelectrical change in the heartbeat. Although there are variations between normal ECGs, they all consist of a P wave, a QRS wave group, and a T wave, sometimes followed by a small U wave. The ECG signal is small in amplitude (20 uV–5 mV), low in frequency (0.05 Hz–100 Hz), and susceptible to environmental interference. For these reasons, it is particularly difficult to obtain ECG signals. The system uses the BMD101 chip from Sinead Technology to acquire, process, and transmit ECG signals.

The principle of measuring pulse oximetry and pulse beat is based on the Lambert-Beer law and the principle of absorbance photometry in the near-infrared spectrum. This means that the infrared and red light emitted by the infrared probe is transmitted through the blood, and since the attenuation of the various light rays is proportional to the concentration of the blood components, the content of each component of the blood can be determined according to the degree of attenuation of the different light rays [28]. This design uses the adult digital finger clip oximetry probe GS-TCQ2001 for testing.

In this system, we use a Bluetooth smart thermometer (iFever) developed by a wearable company called Vipose. It is paired with the APP via Bluetooth and receives the patient's temperature data 24 hours a day. The device is made of a medical fabric with a title table. It is made of medical fabric with an eco-friendly strap and looks very similar to a watch, so all we must do is put it on our hands and use it.

5. Case Studies

5.1. Study Subjects

A multistage random sample was used to select patients with schizophrenia in remission and their caregivers in Hubei Province as the study participants. After obtaining consent from the study participants, the questionnaires were filled out by the investigator in a one-to-one face-to-face interview, and the questionnaires were checked on the spot and collected after confirming that nothing was missing. A total of 210 questionnaires were distributed to patients and their family caregivers, 210 questionnaires were returned, and 9 invalid questionnaires were excluded, with a valid return rate of 95.7%. Epidata 3.1 was used to enter the data, and SPSS 20.0 was used to analyze the data, mean and standard deviation for descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple linear regression for analysis of influencing factors.

6. Results

The total ZBI score for caregiver burden of care for 201 patients with schizophrenia in remission was 37.51 ± 17.75, with 163 cases (81.1%) having burden, of which 66, 72, and 25 cases (32.8%, 35.9%, and 12.4%) had mild, moderate, and severe burdens, respectively. The results are shown in Table 1.

Table 1

Current burden of care for primary caregivers of people with schizophrenia in remission.

Burden type	ZBI score	Number of people	Proportion (%)
No burden	9.76 ± 5.98	38	18.9
Mild burden	31.83 ± 4.91	66	32.8
Moderate burden	47.85 ± 5.18	72	35.9
Heavy burden	64.88 ± 4.07	25	12.4

In terms of caregivers, caregiver age, education level, caregiver-patient relationship, and caregiver's years of caring for the patient were factors influencing the caregiving burden of primary caregivers of schizophrenic patients in remission (P < 0.05), and the results are shown in Table 2.

Table 2

Univariate analysis of primary caregiver burden of care for patients with schizophrenia in remission (caregivers).

Basic information	Classification	Number of people	x¯±s	t/F	P
Age (years)	<40	13	27.46 ± 19.234	3.487	0.033
	40–59	122	36.75 ± 27.262
	>60	66	40.89 ± 17.699
Degree of education	Illiteracy	41	43.76 ± 18.365	3.510	0.009
	Primary school	85	39.20 ± 16.371
	High school and technical secondary school	16	32.38 ± 10.424
	College degree or above	7	26.71 ± 19.302
Relationship with patients	Parent	128	41.19 ± 16.124	11.218	<0.001
	Spouse	21	31.86 ± 17.152
	Brothers and sisters	15	26.13 ± 18.593
	Other	7	17.43 ± 14.351
Years of care	Less than 2 years	14	26.13 ± 18.593	2.594	0.038
	2–5 years	34	35.41 ± 17.245
	6–10 years	49	36.12 ± 19.265
	11–15 years	43	42.35 ± 16.055
	More than 15 years	61	38.97 ± 17.024

Pearson's correlation analysis showed that both caregiver family care and patient social functioning were relatively poor, with a negative correlation between caregiver family care and caregiver burden (P < 0.05) and a positive correlation between patient social functioning and caregiver burden (P < 0.05). Table 3 shows the levels of family care for primary caregivers of people with schizophrenia in remission. Table 4 shows the levels of social functioning in patients with schizophrenia in remission. Table 5 shows the analysis of the correlation between caregiver burden of care and their family care and patient social functioning.

Table 3

Levels of family care for primary caregivers of people with schizophrenia in remission.

Family care	Number of people	Proportion (%)
Serious obstacle (0–3 points)	52	25.87
Moderate disorder (4–6 points)	62	30.85
Good (7–10 points)	87	43.28

Table 4

Levels of social functioning in patients with schizophrenia in remission.

Social function	Number of people	Proportion (%)
No defect (<2 points)	16	7.96
Defective (≥2 points)	185	92.04

Table 5

Analysis of the correlation between caregiver burden of care and their family care and patient social functioning.

Project	r	Caregiver care burden
		P
Caregiver family care	−0.429	<0.001
Patient social function	0.278	<0.001

Multiple linear regression analysis was conducted with the caregiver's caregiving burden as the dependent variable, patient's gender, dietary status, patient's marital status, and medical expenses, caregiver's age, education level, caregiver-patient relationship, and caregiver's years of care for the patient as independent variables. The results are shown in Table 6.

Table 6

Multiple linear regression analysis of primary caregiver burden of care for people with schizophrenia in remission.

Influence factor	Is the standardization coefficient	Standard error	Standardization coefficient	t	P
Caregiver age	0.383	0.121	0.192	3.159	0.002
Caregiver education	−2.494	1.095	∗ 0.193	2.278	0.024
Caregiver family care	−1.807	0.282	−0.373	6.417	<0.001
Patient medical expenses	5.081	1.632	0.179	3.113	0.002
Patient social function	0.375	0.095	0.235	3.931	<0.001
Constant	26.975	9.932	—	2.716	0.007

7. System Experimental Results

Compared to traditional healthcare models, telemedicine breaks down barriers in time and space for patients to access healthcare services, providing a more convenient way for patients and their caregivers [21]. Telemedicine can provide personalized communication and services to patients, facilitating communication between doctors and patients and improving the efficiency of patient access to care [29]. In a cross-sectional survey of 254 home cancer patients and 61 physicians, more than 60% of patients and physicians found no difference between telemedicine visits and outpatient visits, and 82% of patients were very willing to use telemedicine and would recommend it to their family and friends, saying that it enhanced communication with clinicians, shortened the distance and time of visits, and improved the efficiency and quality of care. A study by [30] also showed that remote symptom monitoring and video consultation could reduce the number of unplanned hospital admissions for oncology patients, reduce the financial burden on families, and reduce the conflict between doctors and patients while also improving the quality of life of patients. In China, scholars have used the WeChat platform and telephone to provide continuous care for HBPC patients, and health care workers provide patients with knowledge about the disease in the form of videos and pictures through the WeChat group and keep abreast of the patients' disease status and quality of life [31-33]. The interventions were effective in promoting doctor-patient communication and alleviating the negative emotions of patients and their caregivers, as shown in Figure 7.

Figure 7

Proportion of people with mental illness under different weights.

One of the main barriers to using telemedicine to provide HBPC services to patients is the lack of healthcare professionals with specialized training in hospice care, with 2016 statistics from Duke University School of Medicine indicating a shortage of approximately 10,000 hospice clinicians in the United States [24]. Figure 8 shows telecare outcomes under different scenarios.

Figure 8

Telecare outcomes under different scenarios.

The effectiveness of telecare under different scenarios is shown in Figure 8. Schizophrenia is a chronic illness that is not yet fully curable and requires a return to long-term care at home after hospital treatment, where the primary caregiver of the patient is the primary caregiver [34-36]. This study shows that the burden of care for schizophrenia is high, with 81.1% of caregivers having a burden and 48.3% of them having a moderate to severe burden. Because schizophrenia has a prolonged course, is highly relapsing, and requires long-term medication, most patients are unable to perform simple tasks or even take care of themselves once they are ill, and unlike other chronic illnesses, discrimination by the public also places a significant psychological burden on carers. Figure 9 is the accuracy of telematics.

Figure 9

Accuracy of telematics.

The accuracy of telematics is shown in Figure 9. This study found that the younger the carer and the more educated the carer, the lower the caregiving burden, consistent with the results of similar studies [23]. Younger, more educated caregivers are more knowledgeable and social, have more access to information and income, and have a better vision of their illness and future, making their attitudes and confidence in the face of adversity more positive than older, less educated caregivers, so younger, more educated caregivers appear more proactive in caring for patients with schizophrenia [24].

This study found that the caregiver's family care was not optimistic and that caregivers who received more family care were less burdened. The paper [25] also found the same conclusion. On the one hand, the abnormal behavior of schizophrenic patients is not accepted by society, and public discrimination and prejudice inevitably increase the psychological pressure on caregivers; on the other hand, the caregivers' own stigma prevents them from having a good outlet for their emotions. Therefore, increasing the care of the carer by other family members can reduce the carer's worries and psychological burdens, free the carer from negative and pessimistic feelings, build confidence and increase the carer's sense of well-being, and reduce the burden of caregiving. Figure 10 shows the accuracy of the method at different times.

Figure 10

Accuracy of the method at different times.

The accuracy of the method at different times is shown in Figure 10. This study found that patients generally had poorer social functioning; the greater the medical costs, the greater the burden on patients with lower social functioning [26]. When carers care for patients, they have to bear not only the greater physical and psychological burden of long-term care but also the heavy financial burden of the patients' medical costs. Patients with schizophrenia often require full-time care due to their special characteristics, which deprives their families of a significant portion of their financial resources, and this, coupled with the heavy medical costs, makes the patient's family impoverished due to the illness and returns to poverty due to the illness. Patients with schizophrenia may encounter obstacles in making friends, finding a job, marrying, and falling in love due to their special condition, which leads to a deliberate reduction in social activities.

8. Conclusions

This paper reviews the concept of telemedicine, the application of telemedicine in home hospice care, and the remaining problems and improvement strategies in the application of telemedicine in home hospice care, with the aim of providing a reference for the application of telemedicine in home hospice care in China. The Zarit Burden Scale, Family Care Scale, and Social Functioning Scale were used to conduct one-to-one interviews with 201 patients with schizophrenia in remission and their primary caregivers in Hubei Province. The results of multiple linear regression analysis showed that caregiver age, caregiver education, caregiver's family care, patient's medical costs, and patient's social functioning were factors influencing the burden of care for patients with schizophrenia in remission (P < 0.05).