The magnanimous functionalities and flexibility of smartphone device make them well suited for collecting field data, especially for the local healthcare professional. This paper describes the results of the acceptability and feasibilityfor community health workers (CHWs) after using smartphone application called ‘OSOMO prompt’ app. The results indicated that the comparison of means of one sample t-test responses to the questions on the perceived usefulness and perceived ease of use of ‘OSOMO prompt’ app. The CHWs found that the high average scores of using the ‘OSOMO prompt’ app were useful in their job (mean=3.97±.68) and easy to use (Mean=3.95±.62). The app also had high score point of improving the quality of CHWs work, easy to do CHWs job, clearly and stability app while all items of perceived usefulness and perceived ease of use were statistical significantly (p-value <.001). In conclusion, challenging of smartphone ‘OSOMO prompt’ app was feasible and acceptable to CHWs.

This paper mainly studies the smartphone application for health vigilance in elderly adults, based on geographic information system (GIS) for village health volunteers (OSOMO in Thai) to monitor elderly’s health. Eight areas from 4 provinces of 7th health territory (Roi Et, Khon Kaen, Maha Sarakham, and Kalasin) were employed for research. The smartphone application called “OSOMO Prompt” was created for both iPhone (iOS) and Android devices for 1,246 OSOMOs. The comparison results of the difference of mean scores of knowledge of before and after using the “OSOMO Prompt” smartphone application, showed that the trial group, 240 elderly participants had the mean scores after smartphone application use of 1.69, higher than before use smartphone application. The results also indicated a statistically significant difference (p-value < .001) at 95%, confidence interval between 2.15–1.22. In conclusion, the “OSOMO Prompt” smartphone application was proved as a tool for village health volunteers to make health decision for the elderly persons. Moreover, the system was easy to use and could improve the quality of the elderly’s healthcare.

Health care for older persons is important for their well-being. In Thailand, village health volunteers (VHVs) play a crucial role in communicating between the older persons and health care professionals. Traditionally, they record and submit a monthly report as papers. This project was aimed to design a geographical information system (GIS)-based mobile application for health care in older persons in rural community by the VHVs. As a part of the analysis, design, development, implementation, and evaluation (ADDIE) model, health information obtained from 8,348 older persons and 1,125 VHVs living in rural community were analyzed and used for the for iPhone (iOS) and Android devices, and web browser. In summary, this mobile application allows the VHVs locate the older person’s addresses and communicate with health care staff online in time-saving manner.

Abstract. The Royal Forest Department of Thailand has permitted people to use the resources in national parks since 2005. It leads to a decrease in forest areas. This study aims to monitor and predict forest land change in Phu Phan National Park using Landsat 5 TM images in 1998 and 2008, and Sentinel-2 MSI image in 2018. The atmosphere correction was conducted for satellite images. Land use changes were classified by object base image analysis (OBIA), include forest, agriculture, built-up, water and miscellaneous. The land use maps were measured, and then the CA-Markov model was applied to predict the forest change in a year of 2028. The results demonstrate that overall accuracy (OA) of land use maps is 85.6%, 88%, and 89.6% in 1998, 2008 and 2018, respectively. The land use map in 2018 is more accurate than others because the high-resolution image and current data input. Moreover, the use of reference data nowadays has high potential and reality for classification. During 1998 to 2008, forest and built-up extended 45.35% and 5.07%, respectively. Meanwhile, miscellaneous, agriculture, and water decreased by 41.38%, 21.92%, and 3.45%. During 2008 to 2018, agriculture, miscellaneous, and built-up slightly increased by 21.92%, 14.75%, and 12.26%, respectively while forest and water decreased by 48.82% and 2.24%, respectively. The predicted forest change in 2028 is a decrease by 10.49% due to land use change to miscellaneous, agriculture, built-up, and water area, as forest is likely to be trespassed for built-up and agriculture areas as a result of local population growth. The results of the study can be useful for planning and managing the national park in the future.