scholarly journals PREDICTORS OF HALODOC’S USER SATISFACTION

2021 ◽  
Vol 5 (2) ◽  
pp. 348
Author(s):  
Chrisanty Victoria Layman

Sejak pandemi Covid19, industri kesehatan digital telah bertumbuh pesat di seluruh dunia, ditandai dengan keterlibatan konsumen yang lebih besar dalam kesehatan, disertai kenaikan minat yang lebih tinggi akan layanan kesehatan virtual jarak jauh yang sering terlihat dalam bentuk aplikasi smartphone/ mHeatlh. Namun, Indonesia masih menghadapi beberapa kendala mengenai implementasi kesehatan digital. Untuk mendorong penggunaan aplikasi mHealth, promosi teknologi informasi dan komunikasi harus dikedepankan. Namun, praktik saat ini menunjukkan bahwa masih ada aspek yang menghambat efektivitas dan efisiensi layanan kesehatan aplikasi smartphone. Oleh karena itu, tantangan penting yang hadir dalam pengguna mHealth akan menjadi fokus dalam penelitian ini. Penelitian ini berupaya menyelidiki prediktor kepuasan pengguna Halodoc, salah satu aplikasi kesehatan seluler terbesar dan tersukses di Indonesia. Data yang digunakan dalam penelitian ini adalah skor kegunaan yang dirasakan (PU), kemudahan penggunaan (EU), harga yang dirasakan (PP), antarmuka pengguna grafis (GU), ketergantungan penggunaan (RU), dan kepuasan (SA). Sampel diambil secara pengambilan sampel acak kenyamanan. Responden studi ini melibatkan 100 pengguna Halodoc mulai dari pemula hingga pengguna lama. Data kemudian dianalisis dengan uji-T sampel independen dan analisis varians (ANOVA). Hasil penelitian mempertegas kemudahan penggunaan bagi pengguna yang secara signifikan terkait dengan desain tombol, penggunaan warna, dan informasi obat paling. Selain itu, keandalan pada informasi dokter, yang memungkinkan layanan kesehatan pribadi secara signifikan terkait dengan kepuasan pengguna. Selain itu, ada beberapa fitur profil yang menyarankan tingkat pendidikan mempengaruhi tingkat penerimaan terhadap penggunaan dan kepuasan mHealth. Penelitian di masa depan disarankan untuk melibatkan sampel pengguna dalam jumlah yang lebih besar dan melakukan penelitian selama periode jangka panjang untuk mengukur kepuasan pengguna mHealth dari waktu ke waktu.  Since the COVID19 pandemic, the digital health industry has been accelerated worldwide, with greater consumers engagement in healthcare, and higher interest of remote virtual care found through smartphones application/ mHealth. However, Indonesia still faces several obstacles regarding the implementation of digital health. To encourage the use of the mhealth app, the promotion of information and communication technology must be at the forefront. However, current practice shows that they are still aspects hampering the effectiveness and efficiency of mobile health care. Therefore, crucial challenges present in the user of mHealth would be the focus of this study. This study seeks to investigate the predictors of Halodoc, one of the largest and successful mobile health application’s user satisfaction. The data used in this study are scores of Perceived Usefulness (PU), Ease of Use (EU), Perceived Price (PP), Graphical User Interface (GU), Reliance of Use (RU), and Satisfaction (SA). Samples are taken using random convenienvce sampling. The respondent of this study is 100 Halodoc users starting from beginners to long time users. Data was then analyzed by the Independent Sample T-Test and Analysis of Variance (ANOVA). The study results reemphasize ease of use for users that is significantly associated with the design of buttons, use of colors, and drug information the most. In addition, reliability on doctor information, and enabling personal health care to be significantly associated with user satisfaction. In addition, there are several profile features that suggest, the level of education affects the level of acceptance to mhealth use and satisfaction. Future research is suggested to include a larger sample of users and over a period to better measure the long-term predictor of mHealth user satisfaction over time.

Risks ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 179
Author(s):  
Adi Alsyouf ◽  
Ra’ed Masa’deh ◽  
Moteb Albugami ◽  
Mohammad Al-Bsheish ◽  
Abdalwali Lutfi ◽  
...  

Although technology trends and acceptance have been considered crucial topics, limited research has examined stress-specific factors such as health anxiety in the context of the COVID-19 pandemic based on people’s attitudes toward a mobile health app using the Technology Acceptance Model (TAM). Accordingly, this study primarily highlights the psychological determinants stemming from the COVID-19 pandemic that affect the usage of a mobile health app. The study followed a cross-sectional design and adopted a snowball sampling technique to collect the data. The findings showed a significant association between perceived usefulness, perceived ease of use, and event-related fear and Tabaud App intention. The relationships between Tabaud App intention and COVID-19 anxiety on Tabaud App usage were also revealed. The study found a significant association between perceived ease of use and perceived usefulness. Additionally, the multi-group analysis showed that only two paths related to Tabaud App intention, perceived ease of use and perceived usefulness, differed significantly between males and females. Additionally, women experienced anxiety disorders more than men. The study contributes to the previous knowledge on the field by examining the psychological determinants resulting from the COVID-19 pandemic that influence using a mobile health app, namely, event-related fear and COVID-19 anxiety. The study results may help governments, health policymakers, and health organisations in Saudi Arabia contain the spread of the COVID-19 pandemic.


2018 ◽  
Author(s):  
Ju-Ling Hsiao ◽  
Rai-Fu Chen

BACKGROUND With the widespread use of mobile technologies, mobile information systems have become crucial tools in health care operations. Although the appropriate use of mobile health (mHealth) may result in major advances in expanding health care coverage (increasing decision-making speeds, managing chronic conditions, and providing suitable health care in emergencies), previous studies have argued that current mHealth research does not adequately evaluate mHealth interventions, and it does not provide sufficient evidence regarding the effects on health. OBJECTIVE The aim of this study was to facilitate the widespread use of mHealth systems; an accurate evaluation of the systems from the users’ perspective is essential after the implementation and use of the system in daily health care practices. This study extends the expectation-confirmation model by using characteristics of individuals, technology, and tasks to identify critical factors affecting mHealth continuance and performance from the perspective of health care professionals (HCPs). METHODS A questionnaire survey was used to collect data from HCPs who were experienced in using mHealth systems of a Taiwanese teaching hospital. In total, 282 questionnaires were distributed, and 201 complete and valid questionnaires were returned, thus indicating a valid response rate of 71.3% (201/282). The collected data were analyzed using WarpPLS version 5.0 (ScriptWarp Systems). RESULTS The results revealed that mHealth continuance (R2=0.522) was mainly affected by perceived usefulness, technology maturity, individual habits, task mobility, and user satisfaction, whereas individual performance (R2=0.492) was affected by mHealth continuance. In addition, user satisfaction (R2=0.548) was affected by confirmation and perceived usefulness of mHealth, whereas perceived usefulness (R2=0.521) was affected by confirmation. This implied that confirmation played a key role in affecting perceived usefulness and user satisfaction. Furthermore, the results showed that mHealth continuance positively affected individual performance. CONCLUSIONS The identified critical factors influencing mHealth continuance and performance can be used as a useful assessment tool by hospitals that have implemented mHealth systems to facilitate the use and infusion of the systems. Furthermore, the results can help health care institutions that intend to introduce or develop mHealth applications to identify critical issues and effectively allocate limited resources to mHealth systems.


Author(s):  
Vanita Singh ◽  
Vedant Dev

COVID-19 pandemic mandates the transformation of the traditional healthcare delivery model from facility-based to virtual care worldwide. The use of technology in delivering health care has always been debated and faces challenges as patients as well as providers are often resistive to change. To date, studies focusing on one’s intention to use technology have gained significant research attention. Using the Technology Adoption Model as a research framework, a sample of 336 individuals within the age group of 18-70 years were surveyed via online to understand their intention to use telemedicine. Data were analyzed using structural equation modeling. The findings suggest that perceived ease of use is a significant determinant of one’s intention to use telemedicine vis-à-vis its effect on perceived usefulness and attitude towards telemedicine use. The attitude towards telemedicine is significantly affected by privacy concerns and outcome beliefs. Our study results have implications for health policymakers and others when implementing telemedicine for today’s health care delivery.


2020 ◽  
Vol 11 (7) ◽  
pp. 2613-2628
Author(s):  
Phuong Viet Le-Hoang

This study aims to determine the factors that influence the intention to use the bike-booking application and measure the influence of the elements on the behavior intention to use the bike-booking application for university students in Ho Chi Minh City. Based on the research results, the author gives some managerial implications to increase customers' choice of bike-booking applications to increase the attractiveness of customers to choose apps. With the number of surveyed questionnaires is 200, the author collected 177 valid respondents, and the study results showed that the scales used in the model meet the requirement about reliability and validity. Research has shown that factors such as trust, perceived ease of use, subjective norm, perceived usefulness, perceived price level positively influence the intention to use a bike-booking application for university students in Ho Chi Minh City. In which the perceived usefulness has the most substantial impact, the subjective norm has the lowest effect on behavior intention. The second most effective one is the perceived price level; the third most effective is the ease of use; the fourth most effect is trust.


2021 ◽  
Vol 1 (1) ◽  
pp. 6-17
Author(s):  
Andrija Pavlovic ◽  
Nina Rajovic ◽  
Jasmina Pavlovic Stojanovic ◽  
Debora Akinyombo ◽  
Milica Ugljesic ◽  
...  

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.


2014 ◽  
Vol 631-632 ◽  
pp. 1106-1114
Author(s):  
Wen Xing Lu ◽  
Yu Yong Wu ◽  
Chang Yong Liang ◽  
Zuo Zuo Gu ◽  
Yu Zhao ◽  
...  

Nowadays, health care management is driven by informationization and information technologies are widely used in various types of hospitals. Doctors and nurses are the direct users of information technologies for health care management (ITHCM), as well as the most critical prerequisites in ITHCM implementation. Their acceptance and use of ITHCM can significantly promote hospital performance and enhance core competitiveness. However, different people have different attitude, values and motivation on ITHCM. These factors not only affect employee’s behavior in ITHCM adoption, but also their continued use behavior of ITHCM. Based on the Big Five personality as well as real-world healthcare situation in China, we investigated the impacting factors of ITHCM continuing use, and built ITHCM Continuing Use Model based on personality. We conducted an empirical study to verify the related hypothesis. The results show that Big Five personality affect the willingness of ITHCM continuing use through perceived ease of use and perceived usefulness.


2016 ◽  
Vol 8 (1) ◽  
pp. 117 ◽  
Author(s):  
The Ninh Nguyen ◽  
Tuan Khanh Cao ◽  
Phuong Linh Dang ◽  
Hien Anh Nguyen

<p>Mobile payment has relative advantages compared to other payment methods, thus providing benefits for both consumers and the society. This study attempts to examine factors influencing consumer intention to use mobile payment services. Survey data are used to investigate the impact of consumers’ perceptions of mobile payment services and social influence on use intention. Empirical evidence from 489 Vietnamese consumers confirms a significant relationship between the factors and behavioral intention, and reveals that perceived trust is the strongest predictor of intention to use mobile payment services followed by perceived ease of use, perceived enjoyment, perceived behavioral control, perceived usefulness and subjective norm, respectively. The results contribute to the evolving literature, and suggest that mobile payment service providers should particularly focus on building up consumer trust, and making their services clear, understandable and easy to use. Future research directions for extending this study are also discussed.</p>


The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.


2018 ◽  
Vol 09 (04) ◽  
pp. 772-781 ◽  
Author(s):  
Meghan Reading ◽  
Dawon Baik ◽  
Melissa Beauchemin ◽  
Kathleen Hickey ◽  
Jacqueline Merrill

Background Patient-generated health data (PGHD) collected digitally with mobile health (mHealth) technology has garnered recent excitement for its potential to improve precision management of chronic conditions such as atrial fibrillation (AF), a common cardiac arrhythmia. However, sustained engagement is a major barrier to collection of PGHD. Little is known about barriers to sustained engagement or strategies to intervene upon engagement through application design. Objective This article investigates individual patient differences in sustained engagement among individuals with a history of AF who are self-monitoring using mHealth technology. Methods This qualitative study involved patients, health care providers, and research coordinators previously involved in a randomized, controlled trial involving electrocardiogram (ECG) self-monitoring of AF. Patients were adults with a history of AF randomized to the intervention arm of this trial who self-monitored using ECG mHealth technology for 6 months. Semistructured interviews and focus groups were conducted separately with health care providers and research coordinators, engaged patients, and unengaged patients. A validated model of sustained engagement, an adapted unified theory of acceptance and use of technology (UTAUT), guided data collection, and analysis through directed content analysis. Results We interviewed 13 patients (7 engaged, 6 unengaged), 6 providers, and 2 research coordinators. In addition to finding differences between engaged and unengaged patients within each predictor in the adapted UTAUT model (perceived ease of use, perceived usefulness, facilitating conditions), four additional factors were identified as being related to sustained engagement in this population. These are: (1) internal motivation to manage health, (2) relationship with health care provider, (3) supportive environments, and (4) feedback and guidance. Conclusion Although it required some modification, the adapted UTAUT model was useful in understanding of the parameters of sustained engagement. The findings of this study provide initial requirement specifications for the design of applications that engage patients in this unique population of adults with AF.


2021 ◽  
Vol 5 (1) ◽  
pp. 84-94
Author(s):  
Eristia Lidia Paramita ◽  
Vicka Onthoni

This study aims to provide a comparative analysis of local and foreign customers’ evaluation on their perception, perceived value, and customer satisfaction toward Gojek mobile application. Data was obtained by spreading the online questionnaire to 200 samples of local and foreign customers. By using quantitative analysis method and Independent Sample T-test, the study reveals that local and foreign customers share different evaluation of the mobile application, perception of service quality, price and trust, which lead to different satisfaction as well. Instead, perceived value on intention to use, perceived quality of service, perceived ease of use, perceived price and perceived usefulness has no difference between local and foreign customers. However, even they have shared nearly the same perceived value of Gojek mobile application, local customers sense the higher value in a whole examination compared to foreign customers. Keywords  : Perception, Perceived Value, Customer Satisfaction, Mobile Application


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