Research Article |
Corresponding author: Jorge Ludeña-Poma ( jorgeludenap@gmail.com ) Academic editor: Valentina Petkova
© 2024 Jorge Ludeña-Poma, Sara Rojas-Gallegos, Leslye Solano-Ortiz, Yanira Castro-Chavez, Diana Chahua-Borda, Janeth Ludeña-Poma.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Ludeña-Poma J, Rojas-Gallegos S, Solano-Ortiz L, Castro-Chavez Y, Chahua-Borda D, Ludeña-Poma J (2024) Influence of resistance to use, perceived ease of use, perceived usefulness, and facilitating conditions in the intention to use telemedicine in Peru. Pharmacia 71: 1-11. https://doi.org/10.3897/pharmacia.71.e118004
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Telemedicine revolutionizes medical care by providing remote access to healthcare services, improving efficiency, reducing geographic barriers and providing timely, life-saving care for patients. Current research aims to evaluate the influence of resistance to use, facilitators to use, perceived ease of use and perceived usefulness of telemedicine on the intention to use telemedicine by citizens of Peru. The study collected responses from individuals in Peru through an online survey, and the data was analyzed by multivariate statistical techniques. The results showed that perceived ease of use had a positive and significant effect on perceived usefulness; then, perceived ease of use had a positive and significant effect on the intention to use telemedicine. Also, resistance to use did not have a significant effect on intention to use telemedicine. The bootstrapping analysis showed that the effects between the variables were statistically significant. The outcomes obtained may provide ideas to healthcare managers in public and private sectors for planning health programs based in telemedicine and can make diagnosis and treatments with remote patients.
Telemedicine, resistance to use, perceived ease of use, perceived usefulness, Perú
Accessibility to health services is a fundamental pillar for the well-being of society. Efficient and timely access to medical care is essential to prevent, diagnose and treat diseases. However, at present, the difficulty in obtaining medical appointments has become a significant challenge, especially for those suffering from chronic diseases. Chronic diseases, such as diabetes, hypertension and cardiovascular disease, require ongoing care and careful management (
While access to health services is a public health problem, different services have been offered to solve the difficulty of patient care; in this context, telemedicine has emerged as a key component in the digital revolution that is transforming the delivery of health services (
On the other hand, telemedicine contributes to reducing costs for patients and health systems in general (Etges et al. 2022;
Telepharmacy is a key extension of telemedicine that seeks to optimize medication use (
Particularly relevant in the context of pandemics or outbreaks of communicable diseases, telemedicine helps reduce the spread of infections by minimizing the need for in-person visits to medical facilities. Patients can receive necessary care and medications from the safety of their homes, decreasing exposure to potential pathogens (
Before the pandemic, telemedicine was limited and focused on certain small groups of patients. During the pandemic, many patients had no other option than to be treated through telemedicine, in order to have their illnesses taken care of. Despite this, the question arises as to whether patients want telemedicine after the pandemic or if the preference for in-person medical appointments remains and, likewise, to know what factors explain this intention to use telemedicine. The current research was carried out in Peru. The study aims to analyze the effect of influence of social influence, resistance to use, perceived ease of use, perceived usefulness, and facilitating conditions in the intention to use telemedicine in Peru.
In the last decade and more during the COVID-19 pandemic, in the various health systems the implementation of telemedicine was gaining space, benefiting the control of different diseases such as dyslipidemia (
Telemedicine is a valuable option for patients who may have limited access to healthcare services, while also helping to decongest hospitals and improve the quality of care. However, some patients may perceive telemedicine as impersonal and lacking in warmth. For others, physical contact with their healthcare provider, direct eye contact, and an in-person smile are essential components of their care. Telemedicine interventions have seen web-based consultations (
To obtain the documents corresponding to this analysis, a search was carried out in December 28th, 2023 on the Scopus website (https://www.scopus.com/), and the algorithm was used: TITLE-ABS-KEY (telemedicine) AND PUBYEAR > 2019 AND PUBYEAR < 2024 AND (EXCLUDE (PUBSTAGE, “aip”)) AND (LIMIT-TO (DOCTYPE, “ar”)) AND (LIMIT-TO (SUBJAREA, “DENT”) OR LIMIT-TO (SUBJAREA, “IMMU”) OR LIMIT- TO (SUBJAREA, “PHAR”) OR LIMIT-TO (SUBJAREA, “PSYC”) OR LIMIT-TO (SUBJAREA, “MEDI”) OR LIMIT-TO (SUBJAREA, “HEAL”) OR LIMIT-TO (SUBJAREA, “NURS”)). Fig.
A total of 32 711 papers were found, of which 32 018 papers were published and 693 in press. In addition, 20 318 articles, 4 962 reviews, 1 820 letters, 1 563 conference papers, 1 446 editorials, 1 437 notes, 732 book chapters, 202 short surveys, 73 erratum, 69 review conferences, 63 books, 25 retractions, and 1 data paper were found.
The areas analyzed for this publication were medicine (27 174), health professions (2 779), nursing (2 325), psychology (1 162), pharmacology, toxicology and pharmaceutics (542), immunology and microbiology (491), and dentistry (183). Only article-type documents were selected; thus 19 738 documents were selected. Considering the areas with business topics and the highest number of publications, we considered selecting: medicine, health professions, nursing, psychology, pharmacology, toxicology and pharmaceutics, immunology and microbiology, and dentistry. Including these limitations, 17 848 articles were considered for the review, which showed that 160 countries participated in publications. Table
Rank | Country | Articles |
---|---|---|
1 | USA | 12 938 |
2 | UK | 2 852 |
3 | Italy | 2 179 |
4 | India | 1 914 |
5 | Australia | 1 813 |
6 | Canada | 1 725 |
7 | Germany | 1 675 |
8 | China | 1 633 |
9 | Spain | 1 229 |
10 | France | 933 |
Table
Top institutions in the number of articles of telemedicine during 2020–2023.
Rank | Institution | Country | Articles | Percentage (%) |
---|---|---|---|---|
1 | Harvard Medical School | USA | 1 015 | 5.14 |
2 | University of California, San Francisco | USA | 528 | 2.68 |
3 | University of Toronto | Canada | 508 | 2.57 |
4 | Massachusetts General Hospital | USA | 464 | 2.35 |
5 | University of Pennsylvania | USA | 419 | 2.12 |
6 | University of Washington | USA | 390 | 1.98 |
7 | University of Michigan, Ann Arbor | Italy | 357 | 1.81 |
8 | VA Medical Center | USA | 354 | 1.79 |
9 | Brigham and Women’s Hospital | UK | 352 | 1.78 |
10 | University of Pennsylvania | USA | 345 | 1.75 |
Table
Rank | Journals | Articles | CiteScore 2022 | SJR 2022 | Impact Factor (2022) | H-index of journal | Country |
---|---|---|---|---|---|---|---|
1 | Telemedicine and E Health | 879 | 8.1 | 1.237 | 4.7 | 87 | USA |
2 | Journal of Medical Internet Research | 850 | 12.1 | 1.992 | 7.4 | 178 | Canada |
3 | International Journal of Environmental Research and Public Health | 542 | 5.4 | 0.828 | – | 167 | Switzerland |
4 | BMJ Open | 451 | 4.4 | 1.06 | 2.9 | 139 | UK |
5 | Jmir Mhealth and Uhealth | 409 | 10.9 | 1.51 | 5.0 | 84 | Canada |
6 | Journal of Telemedicine and Telecare | 362 | 12.6 | 1.22 | 6.344 | 84 | UK |
7 | Plos One | 253 | 6.0 | 0.89 | 3.752 | 404 | USA |
8 | Studies in Health Technology and Informatics | 224 | 1.4 | 0.29 | 0.277 | 64 | Netherlands |
9 | BMC Health Services Research | 200 | 4.0 | 0.96 | 2.908 | 133 | UK |
10 | Frontiers in Public Health | 191 | 3.8 | 1.13 | 5.2 | 80 | Switzerland |
Finally, Table
Rank | Authors | Filiation | Articles | Country | H-index of author |
---|---|---|---|---|---|
1 | Ateev Mehrotra | Harvard Medical School | 55 | USA | 58 |
2 | Uscher-Pines, L. | RAND Corporation | 36 | USA | 34 |
3 | James Paul Marcin | University of California, Davis | 35 | USA | 42 |
4 | Haiden A. Huskamp | Harvard Medical School | 30 | Australia | 40 |
5 | Anthony C. Smith | The University of Queensland | 27 | Australia | 40 |
6 | Kori Sauser Zachrison | Massachusetts General Hospital | 26 | USA | 14 |
7 | Henrik. N. Chavannes | Leids Universitair Medisch Centrum | 25 | Netherlands | 51 |
8 | Rebbca J. Gomperts | Women on Waves, Amsterdam | 24 | Netherlands | 18 |
9 | Liam J. Caffery | The University of Queensland | 23 | Australia | 29 |
10 | Alisa B. Busch | McLean Hospital | 23 | USA | 25 |
Every time there are changes in technology, users tend to reject it, citing various reasons for continuing to use the previous technology as much as possible. For this reason, it is necessary to know what factors have an effect on the acceptance of services based on telemedicine and that allow the necessary corrections and incentives to be made in order to obtain the greatest benefit from these types of health programs. The implementation of telemedicine requires a significant investment of resources, so if you can know what factors interact to increase acceptance, it will be easier to plan the implementation.
The acceptance of technology refers to the reasons why people adopt a new service that involves the use of technology. As technology constantly evolves, and new products are introduced, the acceptance of technology becomes an important factor in the decision to purchase a product or service. For example, mobile devices have become popular due to the acceptance of technology as a crucial element in their development and commercial offering. In this context, the Technology Acceptance Model (TAM) (
Intention to use telemedicine – IUTM
The desire to use a particular technology can change over time, as the gadgets we use in our daily lives continue to evolve rapidly. Factors that can influence this change include greater availability, more affordable prices, increased usage by others in the environment, ease of use, and perceived benefits. There is also evidence of evaluating the intention to use healthcare technology in different patient populations, such as diabetes (
Perceived usefulness – PUSE
To what extent technology can help improve someone’s performance depends on how deeply they think about it. In this study, “perceived usefulness” refers to how much concrete utility technology can provide, specifically in replacing traditional healthcare. This usefulness could be based on factors such as saving time by not having to attend appointments in person, avoiding the need to travel to a face-to-face appointment, the convenience of being able to stay at home, and even getting better health outcomes. Previous studies have looked at perceived usefulness in the healthcare system, including the acceptance of electronic health records (
Perceived ease of use – PEUS
Perceived ease of use is a vital aspect of Technology Acceptance Model (TAM), which determines how easy it is for individuals to use the available technology. The level of digital literacy (
Facilitating conditions – FACO
Laptops and several mobile devices have become increasingly affordable, making them accessible to a larger population (
Resistance to use – RESU
Numerous studies have examined the issue of resistance to technology (
Users may feel insecure about sharing sensitive medical information through digital platforms, fearing potential data protection vulnerabilities. This fear of privacy violation may deter people from adopting telemedicine, even if they recognize its benefits. Another crucial aspect is the lack of familiarity and comfort with the technology among certain user groups, especially those who have not grown up with digital devices or are not accustomed to conducting medical consultations online. Some people may doubt the diagnostic efficacy of online consultations and the ability of healthcare professionals to provide adequate treatment without direct physical interaction. This perception may affect their intention to use telemedicine, as users may prefer more traditional methods.
In the context of telemedicine, facilitating conditions are elements that make the use of this technology more convenient and accessible for individuals. These conditions may include the availability of appropriate technology, such as devices and reliable internet connections, as well as the ability of users to acquire the skills necessary to participate in virtual medical consultations. When these facilitating conditions are present, users experience greater comfort and fewer barriers to telemedicine adoption. The intention to use telemedicine highlights the importance of creating a conducive and supportive environment for users, eliminating obstacles and providing the necessary conditions for the adoption of telemedicine to be successful and effective.
Perceived ease of use refers to an individual’s subjective perception of the simplicity and convenience associated with using a specific technology, in this case, telemedicine. This perception plays a significant role in forming the intention to use telemedicine, which in turn impacts its effective adoption. When individuals perceive telemedicine to be easy to use, they are more likely to develop a positive intention to use it. The perceived ease of use contributes to the formation of positive attitudes and increases the perception of control over the adoption of this technology. An intuitive user interface, simple registration and navigation processes, and the absence of technical obstacles contribute to greater perceived ease of use.
Perceived ease of use refers to an individual’s subjective perception of the simplicity and ease of operating a technology, while perceived usefulness focuses on the user’s belief about how using that technology will improve their performance. The relationship between the two is crucial in an individual’s decision to adopt or reject a technology. The idea is that if a user perceives a technology to be easy to use, they are more likely to perceive it as useful as well. Perceived ease simplifies interaction, reducing barriers and making technology more accessible. This, in turn, influences the perception of usefulness: if the technology is easily used, it is expected to effectively fulfill its functions. Perceived ease of use directly affects perceived usefulness, since an easier user experience tends to strengthen the user’s belief in the usefulness of the technology.
The more useful the user perceives telemedicine to be in improving their healthcare, the more likely they will intend to use it. The perceived usefulness of telemedicine is linked to several aspects. Convenience is a key factor. If users perceive that telemedicine makes it easier to access medical care without having to physically travel, this increases its perceived usefulness. Additionally, the ability to receive medical care in real time and the ability to access specialists without geographic restrictions contribute to the perception of usefulness. The quality of interaction and communication with health professionals through telemedicine also influences perceived usefulness. If users feel that telemedicine provides them with an effective and satisfying healthcare experience, they are more likely to see value in its use. When users see telemedicine as a valuable tool to improve their healthcare, they are more inclined to adopt it as an integral part of their healthcare options.
The perception of ease of use has been described as having an effect on the perception of usefulness, which is part of the TAM. However, this relationship is a route that allows explaining the intention to use technology. This measuring effect of the perception of usefulness must be tested in different contexts such as the current one in telemedicine.
Current research uses a prospective, non-experimental, cross and correlational design. The objective is to analyze the effects among the variables of the model to explain the intention to use the telemedicine programs.
The data collection was performed from citizens in Peru through a non-probabilistic sampling. Between October 15 and November 30, 2023, 386 online questionnaires were conducted, shared by Internet. The questionnaire was distributed by email and WhatsApp.
The questionnaire begins with the explanation of the research in which they were going to participate. After this, a statement is presented to confirm if they wish to participate in the study. The questionnaire was based in a Likert 5-points scales. Table
Internal consistency analysis using partial least square structural equation modeling (PLS-SEM).
Scale | Items | Cronbach’s Alpha | Source of items |
---|---|---|---|
Intention to use telemedicine Perceived ease of use Perceived usefulness Facilitating to use Resistance to use | 4 | 0.832 | Developed by authors |
5 | 0.888 | Adapted from |
|
5 | 0.824 | Adapted from |
|
4 | 0.781 | Adapted from |
|
4 | 0.711 | Adapted from |
A multivariate technique called partial least square structural equation modeling (PLS-SEM was used to analyze the data). The multivariate analysis for the current research includes the determination of the construct and discriminant validity and internal consistency. To verify the statistical significance, it was used the non-parametric technique of bootstrapping based in a resampling technique (5000 resamples).
The online questionnaire was fulfilled by 386 participants. 57.25% of respondents were women, ranging among 21 and 44 years. The participants were from Peru exclusively.
Table
The coefficients of sub-scale composite reliability were between 0.809 and 0.894 (Table
Scale – Items | Loading factors | Composite reliability | Average variance extracted |
---|---|---|---|
Intention to use telemedicine (IUTM) | |||
Assuming I had access to telemedicine, I would use it | 0.905 | 0.809 | 0.733 |
I would be willing to use telemedicine as a replacement for my medical appointments | 0.723 | ||
I’m open to using telemedicine services for remote medical assistance if needed | 0.899 | ||
I plan to share information about telemedicine with my relatives and friends | 0.914 | ||
Perceived ease of use (PEUS) | |||
I think learning to use telemedicine would not be very difficult for me | 0.921 | 0.894 | 0.747 |
I estimate that telemedicine services will be easily usable from my cell phone | 0.843 | ||
My ease with the use of technology will allow me to use telemedicine without problems | 0.792 | ||
It would be easy for me to interact with doctors through telemedicine | 0.902 | ||
I want the telemedicine systems to be simple and easy to comprehend | 0.908 | ||
Perceived usefulness (PUSE) | |||
Telemedicine would improve my healthcare | 0.875 | 0.877 | 0.762 |
Telemedicine services will allow me to save time traveling | 0.822 | ||
Telemedicine appointments can be made on time | 0.863 | ||
I believe that utilizing telemedicine would enhance my accessibility to healthcare services | 0.873 | ||
I believe that incorporating telemedicine into my daily routine would be beneficial | 0.886 | ||
Facilitating conditions (FACO) | |||
I will have access to all necessary resources for using telemedicine services | 0.803 | 0.761 | 0.729 |
From my cell phone I could easily access telemedicine services | 0.741 | ||
I want to gain enough knowledge so that I can use the telemedicine service | 0.801 | ||
Telemedicine suits well with my healthcare routine | 0.721 | ||
Resistance to use (RESU) | |||
I would prefer not to use telemedicine if it’s possible | 0.827 | 0.742 | 0.761 |
I think it is risky to treat myself with telemedicine services | 0.728 | ||
I have some concerns regarding the quality of telemedicine services | 0.759 | ||
I would rather receive medical treatment through conventional healthcare facilities | 0.771 |
The Fornell-Larcker criterion was used to analyze multicollinearity. Table
The criterion used was 5000 resamples. The original value is expected to be similar to the average obtained value. Table
Hypothesis | Original sample | Mean sample | Standard deviation | t-statistic | p-value | Hypothesis test |
RESU → IUTM | 0.066 | 0.066 | 0.049 | 9.324 | 0.129 | Rejected |
FACO → IUTM | 0.221 | 0.226 | 0.061 | 1.991 | 0.018 | Accepted |
PEUS → IUTM | 0.559 | 0.557 | 0.072 | 0.689 | 0.000 | Accepted |
PEUS → PUSE | 0.703 | 0.702 | 0.059 | 5.728 | 0.000 | Accepted |
PUSE → IUTM | 0.298 | 0.292 | 0.044 | 0.506 | 0.002 | Accepted |
Table
The purpose of this study was to identify the factors that influence people’s intention to use telemedicine. The results showed that the respondents believed that telemedicine would improve the quality of medical care, which is an important factor for the continuity of use. This may be due to the fact that telemedicine allows for more accessible medical appointments, making it easier for people to receive medical attention, especially in developing countries where this can be a challenge (
Social networks have become an integral part of people’s lives, with the opinions of others having a significant impact on their lives. This need for validation of actions has resulted in people sharing many aspects of their lives, including personal and sensitive information like health problems or deep thoughts. Often, people use social media to express their frustration towards political or sports actors. The experiences of other people can influence one’s opinion, which can be requested through a chat message or posted voluntarily to thank or complain about the services received (
Although the number of participants in the study was limited, PLS-SEM allowed for the analysis of data. Due to the pandemic, patients in healthcare facilities were not available, and therefore, the participants were citizens. Future research should focus on evaluating the acceptance of different modes of telemedicine provision, such as video call, chatbot, synchronous chat, telephone, and other methods. It is essential to differentiate between the intention to use these technologies and evaluate their effectiveness in patients with specific diseases, such as diabetes and hypertension, as well as in patients from urban and rural areas. Additionally, it is necessary to assess the perception of the cost of telemedicine services. For example, should patients pay the same amount for virtual and face-to-face medical appointments? Finally, future research should explore which health professionals are most needed to offer telemedicine services and whether patients are interested in blended services, that is, partial and face-to-face appointments alternately.
In developing countries, telemedicine services have been used to provide medical care to patients with other diseases that need to be monitored. These patients often lack access to medical facilities and receive remote care through telemedicine. However, to plan for medical services in the post-pandemic period, it is necessary to understand the potential users of telemedicine services, their preferences, and specific requirements for medical care. Telemedicine services are not suitable for all patients, and thus, it is necessary to prioritize the types of patients who can benefit the most from this service. Gradually, health services in developing countries are implementing telemedicine services to improve healthcare access for patients.