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Posted on Dec 21, 2012 in Articles, Original Article | 0 comments

An Empirical Review of the Top 500 Medical Apps in a European Android Market


Dr Vivian Obiodu MD1,2,Emeka Obiodu MSc3
1East and North Hertfordshire NHS Trust, England, UK, 2Institute of Orthopaedics and Musculoskeletal Science, University College London, UK, 3Warwick Business School, Coventry, UK
Corresponding Author: obiodu@doctors.org.uk
Journal MTM 1:4:22-37, 2012
DOI:10.7309/jmtm.74


Background/Aims: Mobile phone apps are increasingly playing a role in healthcare delivery and the training of healthcare professionals. According to Research2guidiance, the market for such medical apps reached US$718 million in 2011. The market for mobile applications for Apple and Google dominate the app scene, as they contain over 500,000 apps each.This research reviews the 500 top medical apps in a specific Android market as it seeks to explore the availability, popularity, and prices of apps designed for different medical specialties and uses.

Methods: The Android market was chosen because it provides better download statistics and its unregulated nature is a good indicator for good and bad apps. The Italian Android market was chosen as it approximates a closed healthcare market.

Results: The results show that apps designed for public education, to be used as health diaries, or for healthcare practitioners to make calculations were the most popular. While mean number of downloads for the 500 apps was 74,471, the median is closer to 3,000 downloads per app, reflecting how a few popular apps have skewed the mean. The median number of reviews for each app was 16, the median rating was 4.1/5 and the data shows most apps (77%) are free.

Conclusion: This review of the top, consecutive 500 ‘medical’ apps in the Italian Android market shows that a majority of the apps are designed for healthcare professionals. On the average, a typical medical app will be downloaded 3,000 times, reviewed 16 times, rated 4.1/5 and given away for free. While there are many benefits to society from medical apps, there are also concerns so as not to endanger healthcare delivery or jeopardize public health and safety.

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Posted on Dec 20, 2012 in Articles, Original Article | 0 comments

The Use of Generic Mobile Devices in Operating Proprietary Medical Devices – Example from a Case Report of Vagal Nerve Stimulation Therapy


Brian Chee1

1Northern Health Clinical School, The University of Melbourne, Melbourne, Australia

b.chee@student.unimelb.edu.au
Journal MTM 1:4:38-41, 2012
DOI:10.7309/jmtm.81


Introduction

This article begins with a case report illustrating the use of a generic mobile device in operating a proprietary medical device – the vagal nerve stimulation (VNS) therapy, used in the treatment of refractory epilepsy.

Case

Mr AP is a 20-year old man with an intellectual disability who suffers from intractable epilepsy since 8 years of age. He experiences brief atonic events very frequently. In addition to this, his seizure pattern consists of more prolonged generalised tonic-clonic seizures 2 – 3 times per week, and awake tonic events 2 – 4 times per week.

Despite trialling multiple anti-epileptic medications, his seizures remain poorly controlled and was progressively worsening over the past few years. His latest regimen was a combination of sodium valproate 550 mg, clonazepam 0.5 mg twice daily, and phenytoin 260 mg. An MRI scan showed generalised cerebral atrophy and peri-ventricular heteropia without any surgically amenable lesions. Hence, his treating neurologist agreed to a trial of vagal nerve stimulation therapy. The procedure was carried out by the Austin Hospital neurosurgical team under general anaesthesia.

Vagal Nerve Stimulation

Vagal nerve stimulation (VNS) is recognised as an adjunctive therapy for treatment-resistant epilepsy, used in more than 60,000 patients worldwide 1. The instrument is currently produced solely by Cyberonics, Inc. and consists of a pulse generator, which is placed in a surgically-created subcutaneous pocket in the left upper chest or anterior axillary fold. The generator delivers stimulation to the afferent fibres of the left vagus nerve via an electrode wrapped around the nerve in the cervical region. Though the exact mechanism of anti-epileptic action of VNS is not fully understood, it is likely to be related to effects on the thalamus and other limbic structures 2. VNS has been shown to result in median seizure reduction rates of approximately 45% at 12 months, with some evidence of continued improvement in seizure control over time 2-5. Greater seizure control is achieved on higher stimulation settings, but this also increases the risks of side effects from the therapy. The side effects are mainly stimulation-related, including dysphonia (up to 66% of patients), cough (45%), throat pain (28%), and headaches (24%). They are generally well-tolerated, tend to improve over time, and mostly resolve with decreased intensity of stimulation 3, 6.

VNS – Procedure

VNS therapy consists of a number of components including: (1) pulse generator, (2) electrode leads, (3) programming wand, and (4) handheld computer with installed software.

The pulse generator (Pulse Model 102 Generator) is an implantable, multi-programmable generator that is housed in a titanium case and powered by a single battery. It is responsible for delivering stimulating electric currents via a bipolar electrical lead (Model 302) to the vagus nerve (see Fig 1).


Figure 1: VNS therapy device 7

Once implanted, the pulse generator is programmed by the Model 250 Programming Software, which is loaded onto either a laptop or handheld computer dedicated only to programming the VNS Therapy System. A programming wand (NeuroCybernetic Prosthesis Programming Wand, Model 201) connected to the handheld computer via a cable serves as the interface with which to interrogate the pulse generator and modify stimulation parameters 6 (see Fig 2).


Figure 2: Programming of the VNS therapy device using the Programming Wand and handheld computer 8

In this case, the computer used was a Dell Axim X5 handheld computer, a member of Dell’s line of Windows Mobile-powered Pocket PC devices with a retail price starting at $279. As it has no intrinsic Internet connectivity, software updating is performed via compact flash 9.

Discussion

Increasingly, companies are using general-purpose mobile or handheld devices in the market to operate their medical devices. The versatility of generic mobile devices, as reflected by the number and diversity of mobile applications or “apps” available in the technology market 10, allows them to function as control tools for proprietary medical devices, given the proper software to connect to the medical devices. There are two main advantages to this approach, rather than creating custom-built control devices for new medical products.

Firstly, it reduces cost to the company. It is likely to be cheaper to reprogram an existing mobile device for the use of a specialist purpose such as VNS therapy than to design a new de-novo device. There is a wide range of low cost mobile devices in the market today with sufficient capabilities to be used in operating medical devices, such as the IPod Touch (RRP starting at $219), and various Android-based phones from companies such as HTC (One V $204, Desire $264), Samsung (Galaxy Ace 2 $240), Nokia (Lumia 800 $260), and Sony Ericson (Xperia $263) (www.shopbot.com.au).

More importantly, given clinician familiarity with current mobile technology especially smartphones 11, producing medical devices that can be operated by existing smartphones can increase the usability of the device and will allow more clinicians to adopt it into clinical practice.  Many such medical devices are already emerging in the market. Health-monitoring devices that interface with smartphones, for instance, are gaining ground in the routine provision of healthcare. These include blood pressure monitors, blood sugar level (BSL) monitors 12, and foetal monitors 13. Other mobile-equivalents of traditional devices are also making inroads into medical practice including digital stethoscopes 14, mobile ultrasound probes 15, eye assessment tools 16, and mobile electro-cardiograms (ECGs) 17. The use of familiar mobile platforms to operate these medical devices provides clinicians with the ease of access to utilise these emerging technologies.

The disadvantages to this option, however, also need to be carefully considered. The use of reprogrammed mobile devices in medicine is dependent on a range of technical issues, such as software stability, compatibility, and device connectivity. For example, the handheld computer used in the VNS therapy failed once during the procedure due to software-related issues. While this did not result in significant adverse outcomes for either the surgery or the patient, the failure of a device during a higher risk or time-critical procedure can be of significant concern.

Another consideration is that there may be greater cost savings to the company if purpose-built computer devices are produced at scale, especially for more widely used medical products. For example, integrating and streamlining software and hardware production can be a cheaper option than acquiring the components separately. Prices of mobile devices in the market often include additional costs for marketing, advertising, postage and handling. Softwares that are developed for existing mobile platforms may require additional testing for device compatibility and stability, thus potentially increasing the production time and cost.

Connectivity

Connectivity is also another important issue to consider in the use of mobile technologies to operate medical devices.


Figure 3: Cable connection between the Dell Axim X5 to the programming wand

The handheld computer in the VNS Therapy was connected to the programming wand via a cable. The obvious downside of this approach is that it adds bulk to the device, creates potentials for safety hazards, and also becomes potential points for connection failure (see Fig 3). The lack of Internet connectivity also makes it more difficult to perform software updates, and the collation of data for monitoring and auditing purposes is potentially more cumbersome.

The upside of the lack of connectivity is that there is greater device security. There is increasing security concerns of wireless medical devices in terms of data and patient safety. Recent safety issues have been raised around vulnerabilities in such devices, allowing them to be “hacked”, and even controlled remotely by those with sufficient technical skill and proficiency.  This can prove disastrous when sensitive devices such as insulin pumps and cardiac pacemakers are involved 18, 19. The added benefits of having Internet connectivity obviously need to be balanced out with potential security risks.

Conclusion

In summary, there is an emerging market for medical devices operated by existing mobile devices. There are advantages to the healthcare sector in terms of familiarity with the mobile devices being used. Concurrently, there are also potential issues that need to be addressed in terms of technical performance and security risks.

References

1.  Englot DJ, Chang EF, Auguste KI. Efficacy of vagus nerve stimulation for epilepsy by patient age, epilepsy duration, and seizure type. Neurosurgery Clinics of North America. 2011;22(4):443. 

2. Ben Menachem E. Vagus-nerve stimulation for the treatment of epilepsy. Lancet Neurology. 2002;1(8):477. 

3. Schachter SC. Vagus nerve stimulation therapy summary Five years after FDA approval. Neurology. 2002;59(6 suppl 4):S15-S29. 

4. Amar AP. Vagus nerve stimulation therapy after failed cranial surgery for intractable epilepsy: results from the vagus nerve stimulation therapy patient outcome registry. Neurosurgery. 2004;55(5):1086. 

5.  Uthman B, Reichl A, Dean J, Eisenschenk S, Gilmore R, Reid S, et al. Effectiveness of vagus nerve stimulation in epilepsy patients A 12-year observation. Neurology. 2004;63(6):1124-6. 

6. Cyberonics. Physician’s Manual: VNS Therapy System. Houston, Texas: Cyberonics, Inc; 2010.

7. Cyberonics. VNS Therapy for Epilepsy Basics: How does VNS Therapy work?  2012  [cited 2012 Sep 20]; Available from: http://us.cyberonics.com/en/vns-therapy-for-epilepsy/patients-and-families/basics/how-does-vns-therapy-work

8. Cyberonics. VNS Therapy: Products.  2012  [cited 2012 Sep 20]; Available from: http://us.cyberonics.com/en/vns-therapy-for-epilepsy/healthcare-professionals/vns-therapy/about-products

9. Dell Axim X5 Basic and Advanced Pocket PCs.  2002  [cited 2012 Sep 25]; Available from: http://www.mobiletechreview.com/dell_axim_x5.htm

10. Brian M. Smartphone apps set to surpass the 1 million mark next week.  2011  [cited 2012 Nov 30]; Available from: http://thenextweb.com/mobile/2011/12/02/smartphone-apps-set-to-surpass-the-1-million-mark-next-week/?&_suid=1354274548732011648659314960241

11.Manhattan Research. 75 percent of U.S. Physicians own some form of Apple device.  2011  [cited 2012 Sep 20]; Available from:

12.Melanson D. Sanofi-Aventis debuts iBGStar blood glucose monitor for iPhone.  2010  [cited 2012 Sep 29]; Available from: http://www.engadget.com/2010/09/21/sanofi-aventis-debuts-ibgstar-blood-glucose-meter-for-iphone/

13.Ostrovsky G. The AirStrip OB(R) for wireless fetal heart rate monitoring.  2006  [cited 2012 Sep 29]; Available from: http://medgadget.com/2006/02/the_airstrip_ob_1.html

14. Ostrovsky G. Thinklabs iPhone app pairs up with electronic stethoscope.  2010  [cited 2012 Sep 29]; Available from: http://medgadget.com/2010/02/thinklabs_iphone_app_pairs_up_with

_electronic_stethoscope.html

15. Moore E. Smartphone ultrasound device hits market.  2011  [cited 2012 Sep 29]; Available from: http://news.cnet.com/8301-27083_3-20118706-247/smartphone-ultrasound-device-hits-market/

16. Bastawrous A, Leak C, Howard F, Kumar V. Validation of near eye tool for refractive assessment (NETRA) – Pilot study. Journal of Mobile Technology in Medicine. 2012;1(3):6-16. 

17. Nafziger B. New cell phone takes ECG readings.  2010  [cited 2012 Sep 29]; Available from: http://www.dotmed.com/news/story/13886

18. Leavitt N. Researchers fight to keep implanted medical devices safe from hackers. Computer. 2010;43(8):11-4. 

19. Robertson J. Hacker shows off lethal attack by controlling wireless medical device.  2012  [cited 2012 9 Sep]; Available from: http://go.bloomberg.com/tech-blog/2012-02-29-hacker-shows-off-lethal-attack-by-controlling-wireless-medical-device/


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Posted on Dec 20, 2012 in Articles, Original Article | 0 comments

The Legal Perspective of mHealth in the United States


William Garvin1

1Legal Counsel, Buchanan Ingersoll and Rooney PC, Attorneys and Government Relations Professionals, USA
Corresponding Author: william.garvin@bipc.com
Journal MTM 1:4:42-45, 2012
DOI:10.7309/jmtm.82


The first step is to conduct a critical appraisal of existing literature relevant to the research question

The rapid rise of mobile smartphones has brought with it a proliferation of new software applications (“apps”) that assist the owner with a vast array of new information and tools.  Those in the medical community have seen a dramatic rise in apps designed to aid them in their medical practice, and these mobile medical apps have the potential to revolutionize the practice of medicine.[1]

Nevertheless, the Food and Drug Administration (“FDA”) has not yet resolved how it intends to regulate all mobile medical apps.  This regulatory uncertainty impedes the development of innovate medical apps and slows the adoption of useful apps by the medical community.  Physicians may even be scared to utilize these apps to their fullest capability due to a fear that these medical apps are unreliable and have not been vetted.

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Posted on Dec 3, 2012 in Conference | 0 comments

Satisfying Clinical Research Guidance and Regulations for mHealth Technologies


Brian Moyer1, Christopher Whalen1, Lisa Hoopengardner2, Yentram Huyen3, Katie Watkins2, Michael Holdsworth1, Jiwen Sun4, Kevin Newell2, Susan Vogel5, Ruma Das6, Alex Rosenthal3, Michael Tartakovsky3
1Research Data and Communication Technologies, Inc,
USA;  2Clinical Research Directorate/Clinical Monitoring Research
Program, SAIC-Frederick, Inc., Frederick National Laboratory for
Cancer Research, Maryland, USA; 3Office of Cyber
Infrastructure and Computational Biology, National Institute of
Allergy and Infectious Diseases, National Institutes of Health, USA; 4Dell Services, Federal Government, USA; 5Regulatory Compliance and Human
Subjects Protection Branch, Division of Clinical Research, National
Allergy and Infectious Disease, National Institute of Health, USA; 6Dell-PSGS – Efficiency
System Technology Inc. USA

Journal MTM 1:4S:33, 2012
DOI:10.7309/jmtm.55


Abstract

The Office of Cyber Infrastructure and Computational Biology (OCICB) of the National Institute of Allergy and Infectious Diseases (NIAID) at the NIH has been developing a solution that complies with current guidance frameworks and regulatory requirements while leveraging the potentials offered by mHealth technologies for data collection. OCICB has designed an mHealth solution that maps to the paper processes developed over the past century for clinical research. We designed the system for use in regions of low to middle-income countries where the patients often have no other clinical record. For our pilot, we selected a natural history study that does not have the same regulatory requirements as an Investigational New Drug (IND) study. We retained our existing paper-based clinical data capture management system in order to compare quality control reports between paper-based and mobile electronic capture methods. The solution complies with regulatory frameworks and requirements such as Good Clinical Practices and 21 CFR Part 11, which requires full audit trails of the data collection process at the source and the validation stages. It also provides the capacity for workflows that support the data validation process within the field research framework. We expect to show that the accuracy of data collection improves using mobile source data collection. This will reduce the time and cost of validating the collected data before final analysis for clinical research while maintaining the regulatory framework that protects patient interests. The solution will further provide clinical monitors with the ability to remotely access the source data and thus reduce the cost of travel for monitoring as well as reducing the impact on patients due to mistakes made while entering the data.

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Posted on Dec 2, 2012 in News | 0 comments

Volume 1, Issue 4S

The Editorial Board at the Journal of Mobile Technology in Medicine is proud to present Volume 1, Issue 4S, published in December 2012.  As media partners of the mHealth Summit 2012, Journal MTM is proud to present a special edition of the Journal presenting all the conference abstracts.  We look forward to your article submissions.

 

Volume 1, Issue 4S Contents

Abstracts

WelTel Retain: A randomized controlled trial protocol of a text-messaging intervention to improve patient retention in pre-antiretroviral therapy HIV care

Mia Van Der Kop, David Ojakaa,Lennie Bazira, Lehana Thabane, Lilian Mbau, Helen Gakuruh Koki Kinagwi, Edward Mills, Carlo Marra, Richard Lester

Mobile Technology As A Promising Tool For Health Research In The Social Sciences

Marcos  Reyes-Estrada, Marinilda Rivera-Diaz,NelsonVaras-Diaz

BreathEasy: A Smartphone App to Manage Asthma in an Underserved Population

BarbaraL Massoudi, StephenRothemich

Universal Depresion Prevention via Mobile Phones

R.Whittaker, S.Merry,  K.Stasiak, H.Mc-Dowell, I.Doherty, M.Shepherd, E.Dorey, S.Ameratunga, A.Rodgers

Efficacy of IVR-Based Brief Intervention for Alcohol Problems

GailL. Rose

IN Touch: impact of and lessons learned from an mHealth intervention for overweight and obese youth

Katherine Kim, Christina Sabee, Holly Logan

Feasibility of a Virtual Exercise Coach to Promote Walking in Community-Dwelling Persons with Parkinson’s Disease

Nancy K Latham, TerryEllis, Tamara De Angelis, Katy Hendron, CathiA Thomas, MarieSaint-Hilaire, Timothy Bickmore

A Tablet Game for Risk Reduction and HIV Prevention in Adolescents

Kimberly Hieftje, Lindsay Duncan, Benjamin Sawyer, Sabrina Haskell, Lynn Fiellin

Wrist-based accelerometers successfully differentiate walking from other activities

AmyPapadopoulos, Nicolas Vivaldi, Christine Silvers

SOLVE-IT: Socially Optimized Learning in Virtual Environments: A Web-Delivered HIV Prevention 3D Game Intervention for Young At-Risk MSM

LynnCarol Miller, Paul Robert Appleby, AlexandraN Anderson, StephenJ Read, John L Christensen, StacyMarsella

NightWatch 2.0: The Role of Mobile Phones in Malaria BCC

Hannah Bowen

Using Mobile Technology to Promote Healthy Behaviors in Teens

Misbah Mohammed, Meghan Searl, Khinlei Myint-U, Joseph Kvedar, Kamal Jethwani

Utilizing mHealth Recruitment & Retention Strategies in an RCT with Young Children with Type 1 Diabetes

Victoria Owen, Lauren Pascarellal, Linda Herbert, Fran Cogen, Randi Streisand

Use of parent consultants in a telehealth intervention for parents of children newly diagnosed with Type 1 diabetes

Randi Streisand, Linda Herbert, Victoria Owen, Maureen Monaghan

Use of Booster Calls in a Behavioral Intervention for Adolescents with Type 1 Diabetes

Rachel Sweenie, Linda Herbert, Eleanor Macky, Clarissa Holmes, Randi Streisand

mHealth: An Effective Education Channel for Hard-to-Reach Ethnic Minority Populations in Vietnam

Le NgocHue, LuongChi Thanh, Tonvan der Velden, Le NgocBao, MarionMcNabb

Web-based Clinical Decision Support to Improve the Quality of Tobacco Use Treatment in Dental Clinics

Shelly Tseng, Jannat-Khan Hager

Tailored SMS Messaging to Increase Exercise in Cancer Survivors: A Qualitative Pilot Study

Karen Basen-Engquist, Melissa Karlsten

A Computer Adaptive Testing (CAT) approach to Patient Reported Outcomes (PROs) for mobile devices

Michael Bass, Maria Varela Diaz

Electronic Decision Support for Cardiovascular High-Risk Patients Management in Tibet, China

MaoyiTian, JiakeChen, LiqunXu,  HaoChen, RuilaiLi, KaWingCho, YangfendWu, LijingL Yan

Twitter + Health: The psychosocial impact of short-form text-based messages on wellbeing

Lauren Wagner

TextTB: A parallel design randomized control pilot study to evaluate acceptance and feasibility of a patient-driven mobile phone based intervention to support adherence to TB treatment

Sarah Iribarren, Christina Chirico,  Mirta Echevarrria,  Daniel Cardinali

Improving health awareness through mobile based health messages in Bangladesh

Mafruha Alam, Ananya Raihan, Atik Ahsan

Mobile phone ownership and widespread mHealth use in 168,231 women of reproductive age in rural Bangladesh

Alain B. Labrique, Shegufta S. Sikder, Sucheta Mehara, LeeWu, Rezwanul Huq, Hasmot Ali,   Parul Christian,  Keith West

The Effects of amHealth Intervention on Asthma Symptom Control in Inner-City Teens

Lola Awoyinka

A Cross-Language Mobile Resource for Accessing MEDLINE/PubMed Based on an Open- Source, Crowdsourced Controlled Medical Vocabulary for the Philippines

Raymond Francis R. Samiento, Fang Liu, Paul Fontelo

Evaluation of a SMS Medication Reminder System to Improve Medication Adherence in African Americans with Uncontrolled Hypertension

Lorraine Buis, Loren Schwiebert, Nancy Artinian, Hossein Yarandi,  Lindsey Hirzel

High Tuberculosis Treatment Adherence Obtained Using Mobile Phones for Video Directly Observed Therapy: Results of a Binational Pilot Study

Richard Garfein, Kelly Collins, Fatima Munoz, Kathleen Moser, Paris Cerecer-Callu,  Mark Sullivan, Ganz Chokalingam, Phillip Rios, Maria Luisa Zuniga,  Jose Luis Burgos, Timothy Rodwell,  Maria Gudelia Rangel, Kevin Patrick

Effect of Home Blood Glucose Telemonitoring with Self-Care Support on Glycemic Control in Pregnancy

AG Lagain, DS Feig, R Fung, I Bahinskaya, D Ng, P Picton, JA Cafazzo

Satisfying Clinical Research Guidance and Regulations for mHealth Technologies

Christopher Whalen

Smartphone-delivered mobile HIV Risk Reduction Education in Opioid Dependent Individuals

Karran APhillips, David HEpstein, Jia-LingLin, Mustapha Mezghanni, MassoudVahabzadeh, Kenzie L Preston

Evaluation of a Mobile Diabetes Self-Management Platform: A Pilot Case Study with Pediatric Users

T. Tran, K. Rudolph, PORBETA, S. Jaladi, S. Kumar, S. Kim, R. Padman

Tailored Rapid Interactive Mobile Messaging (TRIMM) for Weight Management Among Underserved Adults

Michael K. Lin, Lawrence J.Cheskin

I’ll text you if there’s a problem: How the Canadian Cancer Society used live text chat to help you g adults quit smoking

Trevorvan Mierlo

Using social networking technologies for mixed methods HIV prevention research

Sean D Young, Devan Jaganath

Are We Sure That Mobile Health Is Really Mobile?

Brie Turner-McGrievy, Deborah Tate

A Qualitative Analysis of Emergency Department Patients’ Experiences with TExT-MED, a Text-message Based mHealth Program to Improve Diabetes Management

Elizabeth Burner, Sanjay Arora,  Elena Taylor,  Michael Menchine

Prescribe Wellness Automated Digital Intervention (ADI) Effectiveness to Increase Medication Adherence

Terry Olson

Results of Communication Enhancement Used in eIMCI Decision Support for the Treatment of Children Under Five in Tanzania

Seneca Perri, Bethany Hedt, Thomas Routen, AmaniShao, ClotildeRambaud-Althaus, NdeniriaSwai, Marc Mitchell

SMS Text Messages to Monitor the Coverage during Polio Supplementary Immunization Activities in Karachi, Pakistan

Momin Kazi, Shariq Khoja, Murtaza Ali,  Asad Ali

Use of SMS text for Maternal and Child Health Surveillance in resource constrain setting

Momin Kazi, Murtaza Ali,  Anita Zaidi

We look forward to hearing from readers in the comments section, and encourage authors to submit research to be considered for publication in this peer-reviewed medical journal.

Yours Sincerely,

Editorial Board
Journal of Mobile Technology in Medicine

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