Empirical Evidence of Internal and External Factors Influencing Users' Motivation Toward Teleconsultation Use.

Introduction: The use of teleconsultation systems has increased in recent years, which has improved patients' access to health care providers and enabled seamless interaction between them. The literature points out several factors that either facilitate or impede the use of teleconsultation. However, there is a lack of studies that provide empirical evidence of factors that influence consumers' motivation toward the use of teleconsultation systems. Aim and Objective: This study aimed to provide empirical evidence of the internal and external factors that influence consumers' motivation toward the use of teleconsultation systems. Methods: A cross-sectional survey was used to collect data from consumers who used a real-time teleconsultation system called the Sehha application in Saudi Arabia between March 13 and June 14, 2021. SPSS 27.0.1 was used for descriptive analysis. Results: Four hundred eighty-five participants completed the survey, 471 of whom were included in the analysis. The findings confirmed that internal and external factors exert an influence on consumers' motivation toward the use of teleconsultation systems. The findings indicated that the presence of factors such as saving time, saving cost, accessibility to health care, ease-of-use, reliable internet access, availability of devices, and appropriate places during the online connection would increase consumers' motivation toward teleconsultation systems use. Also, the findings indicated that users' familiarity with systems similar to teleconsultation systems, users' perception of teleconsultation convenience, the influence of others on users' decision to use teleconsultation, and user's skills and confidence in using teleconsultation easily, and their trust in the teleconsultation system would also increase their motivation to use it. Furthermore, the findings showed that demographic factors, including age, gender, level of education, and employment status, did not influence users' motivation toward the use of teleconsultation Conclusions: This study provided empirical evidence of a variety of internal and external factors that exert an influence on consumers' motivation toward the use of teleconsultation systems.

An empirical study on factors influencing consumers' motivation towards teleconsultation system use. A preliminary report about the Sehha application from Saudi Arabia.

BACKGROUND: The use of the teleconsultation system has increased in recent years, which enabled healthcare providers and patients to share, communicate and transfer information in real-time via different types of telemedicine services and applications. However, there is a lack of studies that underpin factors that motivate patients to use teleconsultation systems. AIM AND OBJECTIVE: This study aimed to identify factors that influence consumers' motivation to use teleconsultation systems by developing a theoretical framework and empirically testing the developed framework with a real-world teleconsultation system. METHODS: A cross-sectional study was used for this research to empirically validate the proposed model. The online survey consisted of 51 items, which were developed by the researchers. Partial least squares structural equation modelling (PLS-SEM) was used to analyze the measurement model and structural model. RESULTS: 485 participants completed the online survey, 471 of which were included in the model analysis. The measurement analysis indicated that convergent validity was achieved as all items' outer lording were well above the threshold of 0.70, all indicators reliability and AVEs were well above the threshold of 0.50. Also, the measurement analysis indicated that discriminate validity was achieved as the Heterotrait-Monotrait ratio of correlations for all constructs were below the threshold of 0.90. In the structural model analysis, the inner constructs of the model, autonomy, competence and relatedness explained 60.1% of the variance in users' motivation toward the use of the teleconsultation system. The outer constructs of the model, subjective norm, external and internal facilitating conditions, explained 67.3% of the variance in users' autonomy, whereas attitude, performance expectancy, external and internal facilitating conditions explained 51.9% of the variance in the users' competence, and subjective norm explained 25.6% of the variance in the users' relatedness. CONCLUSIONS: The developed framework can explain why consumers are motivated to use teleconsultation systems for online medical consultations. The model indicated that a variety of internal and external factors can positively or negatively influence consumers' perceived autonomy, competence and relatedness, which can impact their motivation toward the use of teleconsultation systems.

Development and validation of a new tool to identify factors that influence users' motivation toward the use of teleconsultation systems: A modified Delphi study.

BACKGROUND: Healthcare providers have improved consumer access to healthcare services by the adoption of information communication technology and the use of telemedicine. With the current COVID-19 pandemic, consumers are shifting to remote teleconsultation. There are several studies regarding consumers' acceptance and satisfaction with telemedicine among healthcare providers and a few among patients at healthcare facilities. However, studies about patients' motivation toward the use of teleconsultation systems are very few. AIM: The aim of this study was to validate an instrument of a newly developed framework to identify factors that motivate patients to use a teleconsultation system. METHOD: This study used a modified eDelphi method incorporating content validity index and content validity ratio procedures to validate the instrument among fifteen experts from different disciplines. The eDelphi consisted of three rounds to review each item's relevance, clarity, importance and the overall validity of the instrument. RESULT: The result showed a significant level of agreement among experts for individual items' relevance, clarity and importance. For relevance, all items had excellent I-CVI above 0.889, except one item with I-CVI = 0.78, which is still acceptable. For clarity, all items had an excellent I-CVI > 0.889, except one with I-CVI = 0.667. For importance, most items had CVR above the threshold value of 0.778, except 5 items. Also, the result showed moderate to high content validity of the overall instrument (S-CVI/UA = 0.694; S-CVI/Ave = 0.996). DISCUSSION: These findings support the validity and reliability of the developed instrument, which can be used to identify factors that motivated patients to use a teleconsultation system. Future testing of the instrument should be conducted with a larger population that uses a teleconsultation system. CONCLUSION: An instrument was developed to identify factors that motivated consumers to use teleconsultation, using a modified eDelphi method among experts. The eDelphi method consisted of three rounds and the results showed that the instrument is a valid and reliable tool.

Barriers and Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation at Patients' Homes: Systematic Literature Review.

BACKGROUND: Health care providers are adopting information and communication technologies (ICTs) to enhance their services. Telemedicine is one of the services that rely heavily on ICTs to enable remote patients to communicate with health care professionals; in this case, the patient communicates with the health care professional for a follow-up or for a consultation about his or her health condition. This communication process is referred to as an e-consultation. In this paper, telemedicine services refer to health care services that use ICTs, which enable patients to share, transfer, and communicate data or information in real time (ie, synchronous) from their home with a care provider-normally a physician-at a clinical site. However, the use of e-consultation services can be positively or negatively influenced by external or internal factors. External factors refer to the environment surrounding the system as well as the system itself, while internal factors refer to user behavior and motivation. OBJECTIVE: This review aims to investigate the barriers and the facilitators that influence the use of home consultation systems in the health care context. This review also aims to identify the effectiveness of Home Online Health Consultation (HOHC) systems in improving patients' health as well as their satisfaction with the systems. METHODS: We conducted a systematic literature review to search for articles-empirical studies-about online health consultation in four digital libraries: Scopus, Association for Computing Machinery, PubMed, and Web of Science. The database search yielded 2518 articles; after applying the inclusion and exclusion criteria, the number of included articles for the final review was 45. A qualitative content analysis was performed to identify barriers and facilitators to HOHC systems, their effectiveness, and patients' satisfaction with them. RESULTS: The systematic literature review identified several external and internal facilitators and barriers to HOHC systems that were used in the creation of a HOHC framework. The framework consists of four requirements; the framework also consists of 17 facilitators and eight barriers, which were further categorized as internal and external influencers on HOHC. CONCLUSIONS: Patients from different age groups and with different health conditions benefited from remote health services. HOHC via video conferencing was effective in delivering online treatment and was well-accepted by patients, as it simulated in-person, face-to-face consultation. Acceptance by patients increased as a result of online consultation facilitators that promoted effective and convenient remote treatment. However, some patients preferred face-to-face consultation and showed resistance to online consultation. Resistance to online consultation was influenced by some of the identified barriers. Overall, the framework identified the facilitators and barriers that positively and negatively influenced the uptake of HOHC systems, respectively.