Defining Dimensions of Patient Satisfaction with Telemedicine: An Analysis of Existing Measurement Instruments

Garcia, Robert; Adelakun, Olayele; Han, Wencui

doi:10.24251/hicss.2017.459

Cited by 10 publications

(12 citation statements)

References 70 publications

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“…Based on the result above, with significance <0.005 and ε value is 0.289, then Hypothesis 1 can be accepted. This result supports the article written by Garcia [18] that one of the telemedicine patient satisfaction factors was service quality. Aside from service quality, Garcia stated there are a lot of other factors supporting telemedicine patient satisfaction, such as price, information availability, scheduling, consultation duration, accessibility, patient's privacy assurance, technology advancement, management given and patient's recovery.…”

Section: Resultssupporting

confidence: 89%

Analysis of Service Quality Towards Patient Satisfaction (Comparative Study of Patients Using Telemedicine Application and Face to Face Consultation in Healthcare)

Tantarto

Kusnadi

Sukandar

2020

EJBMR

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The world today knows the use of technology in more areas of life than ever. The invention of health technology enables health workers to utilize telecommunication devices in delivering care, easing access to healthcare anywhere, anytime. Telemedicine Application is one of the rapidly developing health applications in Indonesia. This study aimed to analyze the association between quality of services, including tangibility, reliability, responsiveness, assurance, and empathy, and patient satisfaction in Telemedicine Application users compared to conventional health services (face-to-face). Primary data were obtained from 100 respondents who had received healthcare either from Telemedicine Application or face-to-face (conventional) throughout 2019. Data analysis used path analysis and the Wilcoxon test. This study found that service quality, both in Telemedicine Application and conventional care, influenced patient satisfaction. In subjects using Telemedicine Application, reliability and responsiveness did not significantly influence patient satisfaction. Whereas in patients receiving conventional care, tangibility, responsiveness, and empathy were not significantly influential to patient satisfaction. Conventional patient satisfaction is significantly higher compared to Telemedicine Application patient satisfaction.

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Section: Resultssupporting

confidence: 89%

Analysis of Service Quality Towards Patient Satisfaction (Comparative Study of Patients Using Telemedicine Application and Face to Face Consultation in Healthcare)

Tantarto

Kusnadi

Sukandar

2020

EJBMR

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“…Information Quality (IQ) is one of the most popularly examined measures in the literature in general as well as in telemedical technology in particular [ 20 ]. Moreover, the Information Quality of telemedicine refers to the quality of outputs that are produced by the system and perceived by patients [ 21 ], which can be in the form of medical reports or online screens. The relationship between ‘Information Quality’ and ‘User Satisfaction’ has been supported in many studies [ 17 , 21 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, the Information Quality of telemedicine refers to the quality of outputs that are produced by the system and perceived by patients [ 21 ], which can be in the form of medical reports or online screens. The relationship between ‘Information Quality’ and ‘User Satisfaction’ has been supported in many studies [ 17 , 21 ]. In the context in this study, Zhou et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Service Quality (SerQ) has been defined in the literature in different ways based on what the service represents for the user. In the e‐health context, service quality is defined as the patient's perception of the quality of service delivered by the healthcare team using electronic tools [ 21 ]. In this study, the healthcare team includes medical consultation and other supporting services, namely contacting the help desk for system registration, identity validation via email, and scheduling appointments.…”

Section: Literature Reviewmentioning

confidence: 99%

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Kuwaiti hospital patients’ continuance intention to use telemedical systems in the wake of the COVID19 pandemic

Almutairi

Alazemi

Almutairi

2021

Healthc. technol. lett.

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The objective of this study is to investigate factors influencing patients’ continuance intention to use telemedicine after the COVID‐19 pandemic in the medical sector of Kuwait. To reach this purpose, the updated Delone and Maclean (2003) model was utilized to investigate the aforementioned factors. As such, this research applied quantitative research methods with a sample of 290 participants from patients in Dar Al Shifa Hospital, a private hospital in Kuwait which utilizes telemedical services called ‘Sehaty online’. The corresponding data was analyzed using SmartPLS. The findings of this study revealed that information quality and system quality have a positive and significant influence on patient's satisfaction, whereas service quality has an insignificant influence on patient's satisfaction. Also, patients’ continuance intention to use telemedicine is found to be significantly impacted by their satisfaction. Furthermore, several limitations of the study, related future research, and recommendations have been discussed.

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“…Although reviews in literature have summarized the evaluation of available assessment tools to date (6)(7)(8), these studies focus on TM as a whole, not specifically on VC. Furthermore, available reviews focus on questionnaire development and validation studies only, without including other available studies on the evaluation of their measurement properties.…”

mentioning

confidence: 99%

Measuring patient satisfaction with video consultation: a systematic review of assessment tools and their measurement properties

Barsom

Hees

Bemelman

et al. 2020

Int J Technol Assess Health Care

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Background Video consultation (VC) is considered promising in delivering healthcare closer to the patient and improving patient satisfaction. Indeed, providing care-at-distance via VC is believed to be promising for some situations and patients, serving their needs without associated concomitant costs. In order to assess implementation and perceived benefits, patient satisfaction is frequently measured. Measuring patient satisfaction with VC in healthcare is often performed using quantitative and qualitative outcome analysis. As studies employ different surveys, pooling of data on the topic is troublesome. This systematic review critically appraises, summarizes, and compares available questionnaires in order to identify the most suitable questionnaire for qualitative outcome research using VC in clinical outpatient care. Methods PubMed, Embase, and Cochrane were searched for relevant articles using predefined inclusion criteria. Methodological quality appraisal of yielded questionnaires to assess VC was performed using the validated COSMIN guideline. Results This systematic search identified twelve studies that used ten different patient satisfaction questionnaires. The overall quality of nine questionnaires was rated as “inadequate” to “doubtful” according to the COSMIN criteria. None of the questionnaires retrieved completed a robust validation process for the purpose of use. Conclusion and recommendations Although high-quality studies on measurement properties of these questionnaires are scarce, the questionnaire developed by Mekhjian has the highest methodological quality achieving validity on internal consistency and the use of a large sample size. Moreover, this questionnaire can be used across healthcare settings. This finding may be instrumental in further studies measuring patient satisfaction with VC.

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Defining Dimensions of Patient Satisfaction with Telemedicine: An Analysis of Existing Measurement Instruments

Abstract: Abstract

Cited by 10 publications

References 70 publications

Analysis of Service Quality Towards Patient Satisfaction (Comparative Study of Patients Using Telemedicine Application and Face to Face Consultation in Healthcare)

Analysis of Service Quality Towards Patient Satisfaction (Comparative Study of Patients Using Telemedicine Application and Face to Face Consultation in Healthcare)

Kuwaiti hospital patients’ continuance intention to use telemedical systems in the wake of the COVID19 pandemic

Measuring patient satisfaction with video consultation: a systematic review of assessment tools and their measurement properties

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