TY - GEN
T1 - A framework of longitudinal study to understand determinants of actual use of the portable health clinic system
AU - Sampa, Masuda Begum
AU - Hossain, Md Nazmul
AU - Hoque, Rakibul
AU - Islam, Rafiqul
AU - Yokota, Fumihiko
AU - Nishikitani, Mariko
AU - Fukuda, Akira
AU - Ahmed, Ashir
N1 - Funding Information:
This research work has been supported by multiple organizations. JSPS KAKENHI, Grant Number 18K11529 and the Future Earth Research Fund, Grant Number 18-161009264 jointly financed the core research. Institute of Decision Science for a Sustainable Society (IDS3), Kyushu University, Japan provided travel expenses for data collection, and Grameen Communications, Bangladesh provided technical assistance.
Funding Information:
Acknowledgement. This research work has been supported by multiple organizations. JSPS KAKENHI, Grant Number 18K11529 and the Future Earth Research Fund, Grant Number 18-161009264 jointly financed the core research. Institute of Decision Science for a Sustainable Society (IDS3), Kyushu University, Japan provided travel expenses for data collection, and Grameen Communications, Bangladesh provided technical assistance.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Due to the scarcity of medical infrastructure including doctors and hospitals, ICT based healthcare services is getting popular around the world including low facilities rural areas of Bangladesh. Portable Health Clinic (PHC) system is one of the ICT based healthcare systems. Speciality of this system is that the clinic box is carried and operated by a pre-trained healthcare worker. However, longitudinal study in this context wasn’t undertaken before. In order to draw strong inferences about new technology use we need to do longitudinal study. Therefore, the aim is to identify key determinants of actual use of the PHC system and to understand how their influence changes over time with increasing experience to explain detailed action sequences that might unfold over time. Face to face survey will be conducted to collect data. Structural Equation Modeling will be used to analyze data. By analyzing data using AMOS 25.0 this study will identify most important time that are key to increase actual use of the PHC system. The proposed model can make it possible to offer important practical guidelines to service providers in enhancing actual use of the PHC system. The study can suggest way of increasing health awareness to policy makers and way to build awareness to use the system. The study can also contribute to make policy to improve health care situation i.e., reduce morbidity rate in the country.
AB - Due to the scarcity of medical infrastructure including doctors and hospitals, ICT based healthcare services is getting popular around the world including low facilities rural areas of Bangladesh. Portable Health Clinic (PHC) system is one of the ICT based healthcare systems. Speciality of this system is that the clinic box is carried and operated by a pre-trained healthcare worker. However, longitudinal study in this context wasn’t undertaken before. In order to draw strong inferences about new technology use we need to do longitudinal study. Therefore, the aim is to identify key determinants of actual use of the PHC system and to understand how their influence changes over time with increasing experience to explain detailed action sequences that might unfold over time. Face to face survey will be conducted to collect data. Structural Equation Modeling will be used to analyze data. By analyzing data using AMOS 25.0 this study will identify most important time that are key to increase actual use of the PHC system. The proposed model can make it possible to offer important practical guidelines to service providers in enhancing actual use of the PHC system. The study can suggest way of increasing health awareness to policy makers and way to build awareness to use the system. The study can also contribute to make policy to improve health care situation i.e., reduce morbidity rate in the country.
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U2 - 10.1007/978-3-030-21935-2_24
DO - 10.1007/978-3-030-21935-2_24
M3 - Conference contribution
AN - SCOPUS:85069715390
SN - 9783030219345
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 323
EP - 332
BT - Distributed, Ambient and Pervasive Interactions - 7th International Conference, DAPI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
A2 - Streitz, Norbert
A2 - Konomi, Shin’ichi
PB - Springer Verlag
T2 - 7th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Y2 - 26 July 2019 through 31 July 2019
ER -