Short Message Service Text Message Support for Weight Loss in Patients With Prediabetes: Pragmatic Trial

Background There is a need to develop weight management interventions that fit seamlessly into the busy lives of women during the postpartum period. Objective The objective was to develop and pilot-test an evidence- and theory-based intervention, delivered by short message service, which supported weight loss and weight loss maintenance in the postpartum period. Design Stage 1 involved the development of a library of short message service messages to support weight loss and weight loss maintenance, with personal and public involvement, focusing on diet and physical activity with embedded behaviour change techniques, and the programming of a short message service platform to allow fully automated intervention delivery. Stage 2 comprised a 12-month, single-centre, two-arm, pilot, randomised controlled trial with an active control. Setting This study was set in Northern Ireland; women were recruited via community-based approaches. Participants A total of 100 women with overweight or obesity who had given birth in the previous 24 months were recruited. Interventions The intervention group received an automated short message service intervention about weight loss and weight loss maintenance for 12 months. The active control group received automated short message service messages about child health and development for 12 months. Main outcome measures The main outcomes measured were the feasibility of recruitment and retention, acceptability of the intervention and trial procedures, and evidence of positive indicative effects on weight. Weight, waist circumference and blood pressure were measured by the researchers; participants completed a questionnaire booklet and wore a sealed pedometer for 7 days at baseline, 3, 6, 9 and 12 months. Outcome assessments were collected during home visits and women received a voucher on completion of each of the assessments. Qualitative interviews were conducted with women at 3 and 12 months, to gather feedback on the intervention and active control and the study procedures. Quantitative and qualitative data were used to inform the process evaluation and to assess fidelity, acceptability, dose, reach, recruitment, retention, contamination and context. Results The recruitment target of 100 participants was achieved (intervention, n = 51; control, n = 49); the mean age was 32.5 years (standard deviation 4.3 years); 28 (28%) participants had a household income of < £29,999 per annum. Fifteen women became pregnant during the follow-up (intervention, n = 9; control, n = 6) and withdrew from the study for this reason. At the end of the 12-month study, the majority of women remained in the study [85.7% (36/42) in the intervention group and 90.7% (39/43) in the active control group]. The research procedures were well accepted by women. Both groups indicated a high level of satisfaction with the short message service intervention that they were receiving. There was evidence to suggest that the intervention may have a positive effect on weight loss and prevention of weight gain during the postpartum period. Limitations The interviews at 3 and 12 months were conducted by the same researchers who collected other outcome data. Conclusions An evidence- and theory-based intervention delivered by short message service was successfully developed in conjunction with postpartum women with overweight and obesity. The intervention was acceptable to women and was feasible to implement in the 12-month pilot randomised controlled trial. The progression criteria for a full randomised controlled trial to examine effectiveness and cost-effectiveness were met. Future work Some minor refinements need to be made to the intervention and trial procedures based on the findings of the pilot trial in preparation for conducting a full randomised controlled trial. Trial registration Current Controlled Trial ISRCTN90393571. Funding This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 8, No. 4. See the NIHR Journals Library website for further project information. The intervention costs were provided by the Public Health Agency, Northern Ireland.

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SMS Compression System using Arithmetic Coding Algorithm

IT for Society ◽

10.33021/itfs.v3i02.586 ◽

2018 ◽

Vol 3 (02) ◽

Author(s):

Rosalina Rosalina ◽

Wahyu Hidayat

Keyword(s):

Short Message Service ◽

Text Message ◽

Compression Algorithm ◽

The Other ◽

Arithmetic Coding ◽

Text Compression ◽

Short Message ◽

Effective Mechanism ◽

Compression System ◽

Message Service

Short Message Service (SMS) has limitation in the length of its text message, which only provides 160 characters per SMS. It means that if we send more than 160 characters, it will be considered as sending more than one SMS, so that we have to spend more cost for sending SMS. On the other side, the Arithmetic Coding algorithm provides an effective mechanism for text compression. It has performed the great compression result and in many case it was considered as the better compression algorithm than other ones, such as Huffman and LZW (Lempel-Ziv-Welch). This research will implement the Arithmetic Coding algorithm to develop an application that will compress the SMS text message. The concept of Arithmetic Coding will be implemented to compress the SMS text message before it is sent from the sender to the receiver. The application is called CheaperZipper (CZ). This application will handle the sending and receiving SMS in the hand phone by preceding the compression and decompression process.

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The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback (Preprint)

10.2196/preprints.13558 ◽

2019 ◽

Author(s):

Rebecca J Bartlett Ellis ◽

James H Hill ◽

K Denise Kerley ◽

Arjun Sinha ◽

Aaron Ganci ◽

...

Keyword(s):

Medication Adherence ◽

Mobile Health ◽

Short Message Service ◽

Electronic Monitoring ◽

Text Message ◽

Text Messages ◽

Smartphone App ◽

Short Message ◽

Clinic Setting ◽

Message Service

BACKGROUND As many as 50% of people experience medication nonadherence, yet studies for detecting nonadherence and delivering real-time interventions to improve adherence are lacking. Mobile health (mHealth) technologies show promise to track and support medication adherence. OBJECTIVE The study aimed to evaluate the feasibility and acceptability of using an mHealth system for medication adherence tracking and intervention delivery. The mHealth system comprises a smart button device to self-track medication taking, a companion smartphone app, a computer algorithm used to determine adherence and then deliver a standard or tailored SMS (short message service) text message on the basis of timing of medication taking. Standard SMS text messages indicated that the smartphone app registered the button press, whereas tailored SMS text messages encouraged habit formation and systems thinking on the basis of the timing the medications were taken. METHODS A convenience sample of 5 adults with chronic kidney disease (CKD), who were prescribed antihypertensive medication, participated in a 52-day longitudinal study. The study was conducted in 3 phases, with a standard SMS text message sent in phases 1 (study days 1-14) and 3 (study days 46-52) and tailored SMS text messages sent during phase 2 (study days 15-45) in response to participant medication self-tracking. Medication adherence was measured using: (1) the smart button and (2) electronic medication monitoring caps. Concordance between these 2 methods was evaluated using percentage of measurements made on the same day and occurring within ±5 min of one another. Acceptability was evaluated using qualitative feedback from participants. RESULTS A total of 5 patients with CKD, stages 1-4, were enrolled in the study, with the majority being men (60%), white (80%), and Hispanic/Latino (40%) of middle age (52.6 years, SD 22.49; range 20-70). The mHealth system was successfully initiated in the clinic setting for all enrolled participants. Of the expected 260 data points, 36.5% (n=95) were recorded with the smart button and 76.2% (n=198) with electronic monitoring. Concordant events (n=94), in which events were recorded with both the smart button and electronic monitoring, occurred 47% of the time and 58% of these events occurred within ±5 min of one another. Participant comments suggested SMS text messages were encouraging. CONCLUSIONS It was feasible to recruit participants in the clinic setting for an mHealth study, and our system was successfully initiated for all enrolled participants. The smart button is an innovative way to self-report adherence data, including date and timing of medication taking, which were not previously available from measures that rely on recall of adherence. Although the selected smart button had poor concordance with electronic monitoring caps, participants were willing to use it to self-track medication adherence, and they found the mHealth system acceptable to use in most cases.

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(Un/Semi-)supervised SMS text message SPAM detection

Natural Language Engineering ◽

10.1017/s1351324914000102 ◽

2014 ◽

Vol 21 (4) ◽

pp. 553-567 ◽

Cited By ~ 3

Author(s):

CHRIS R. GIANNELLA ◽

RANSOM WINDER ◽

BRANDON WILSON

Keyword(s):

Short Message Service ◽

Text Message ◽

Support Vector ◽

Model Parameters ◽

Spam Detection ◽

Short Message ◽

Classification Approach ◽

Message Service ◽

The Uk ◽

Probabilistic Generative Model

AbstractWe address the problem of unsupervised and semi-supervised SMS (Short Message Service) text message SPAM detection. We develop a content-based Bayesian classification approach which is a modest extension of the technique discussed by Resnik and Hardisty in 2010. The approach assumes that the bodies of the SMS messages arise from a probabilistic generative model and estimates the model parameters by Gibbs sampling using an unlabeled, or partially labeled, SMS training message corpus. The approach classifies new SMS messages as SPAM or HAM (non-SPAM) by zero-thresholding their logit estimates. We tested the approach on a publicly available SMS corpora collected from the UK. Used in semi-supervised fashion, the approach clearly outperformed a competing algorithm, Semi-Boost. Used in unsupervised fashion, the approach outperformed a fully supervised classifier, an SVM (Support Vector Machine), when the number of training messages used by the SVM was small and performed comparably otherwise. We believe the approach works well and is a useful tool for SMS SPAM detection.

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Penerapan Kriptografi Pada Teks Pesan dengan Menggunakan Metode Vigenere Cipher Berbasis Android

JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI ◽

10.36722/sst.v4i3.280 ◽

2018 ◽

Vol 4 (3) ◽

pp. 110

Author(s):

Angga Aditya Permana

Keyword(s):

Long Range ◽

Mobile Phones ◽

Information Exchange ◽

Short Message Service ◽

Technology Development ◽

Text Message ◽

Secret Message ◽

Short Message ◽

Text Encoding ◽

Message Service

Abstrak - Perkembangan teknologi khususnya dalam bidang komunikasi antar manusia sudah sangat mudah dilakukan dengan telepon genggam dan fiturnya sangat bervariasi. Pertukaran informasi jarak jauh ini menuntut keamanan terhadap kerahasiaan informasi yang dipertukarkan. Oleh karena itu, metode kriptografi dilakukan untuk mengamankan informasi tersebut. Salah satu metode kriptografi untuk penyandian teks adalah metode Vigenere Cipher. Penelitian ini bertujuan untuk membangun aplikasi kriptografi teks pesan pada smartphone berbasis android dengan metode Vigenere Cipher. Metode ini mengenkripsi teks pesan menjadi pesan rahasia yang kemudian hasilnya diteruskan sebagai teks pesan ke aplikasi pengiriman pesan seperti aplikasi SMS (Short Message Service), Whatsapp, Line, dan sejenisnya untuk selanjutnya didekripsi. Penelitian ini menghasilkan aplikasi berbasis android yang dapat mengirimkan teks pesan terenkripsi menggunakan metode Vigenere Cipher untuk memberikan keamanan lebih pada proses pertukaran informasi.Kata Kunci – Cryptography, Vigenere Cipher, Android.Abstract – Mobile phones and its various features allow humans to communicate in this technology development era. The information secrecy especially during long range information exchange is very noteworthy. So that, those information can be protected by cryptography method. Vigenere Cipher is one of cryptography method for text encoding. The aim of this study is to construct application of text message cryptography on android Smartphone using Vigenere Cipher method. This method encrypted text message into secret message then forwarded this information to other applications like SMS (Short Message Service), Whatsapp, Line and so on then being decrypted. Android based application was resulted which allow to send encrypted text message using Vigenere Cipher to provide more security in the process of information exchange.Keywords - Cryptography, Vigenere Cipher, Android.

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