2022
DOI: 10.1186/s12911-022-01944-0
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Mobile health application for Thai women: investigation and model

Abstract: Background Women’s mobile health (m-health) applications are currently widely used for health education, medication, prevention of illness, etcetera. However, women are extremely sensitive to their design. While the number of m-health applications for women is increasing, many are of poor quality and have development issues. Objective This paper aims to develop and evaluate an m-health application for Thai women based on a user-centred design (UCD)… Show more

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Cited by 12 publications
(8 citation statements)
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References 52 publications
(75 reference statements)
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“…This study is one of the few app-based studies that collected real-world data on weight loss and health effects with mHealth app usage conducted in upper-middle income countries [ 41 ]. This study aimed to determine the association between measurable clinical outcomes, such as significant weight reduction, with each logging function of the app and demographic variables.…”
Section: Discussionmentioning
confidence: 99%
“…This study is one of the few app-based studies that collected real-world data on weight loss and health effects with mHealth app usage conducted in upper-middle income countries [ 41 ]. This study aimed to determine the association between measurable clinical outcomes, such as significant weight reduction, with each logging function of the app and demographic variables.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, the acceptance of mHealth tools by the elderly has been limited [10], with 43% seniors over 70 quit using them during the first 14 days [11]. Usability is considered a vital factor influencing the adoption of mHealth by the elderly [12,13], which is defined as "the extent to which a system can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use" [14,15]. Effectiveness, efficiency and satisfaction are the critical measures of usability and thus the key points of evaluation [16].…”
Section: Introductionmentioning
confidence: 99%
“…However, the results of a preliminary research conducted in several health centers are inversely proportional to the results of reporting from the relevant agencies, the facts on the ground that civil servant Midwifes do not understand the system of recording and calculating their own credit numbers, thus delegating the work to someone who understands better to complete it, in order to meet the requirements for the increase. rank and regular reporting for 1 year [3,[16][17][18] One of the requirements for promotion is the preparation of a List of Proposed Credit Score Determination (Daftar Usulan Penetapan Angka Kredit/DUPAK) and Credit Score Determination (Penetapan Angka Kredit/PAK) conducted every semester, which in one year there are two semesters (January-June and July-December) [19][20][21][22][23][24][25]. Obstacles faced in recording and reporting credit scores by Midwifes, including non-standardized formats and large workloads, so far the recording of credit scores is still using Microsoft Excel and the drawback of this recording system is that it does not have a data base, thus allowing data from each employee not to be recorded stored [11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, this research tries to design a midwifery documentation system in the form of SOAP which is integrated with recording and calculating midwife credit scores. To facilitate Midwifes in recording and reporting as well as collecting credit scores [1][2][3][4][5][6] Based on the preliminary research and analysis of the various sources above, the authors want to create an Integrated Physiological Midwifery and Infant Physiological Documentation Information System for Civil Servant Midwifes Credit Score Based on an electric word browser (web) (SISNIBI NANGKET). The SISNIBI NANGKET application is the rst application in Indonesia that is used to facilitate civil servant Midwifes in the process of recording, reporting and calculating credit scores.…”
Section: Introductionmentioning
confidence: 99%
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