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mHealth Monitor

The mHealth Monitor blog is an open, collaborative space for experts and practitioners in the field of mHealth to share ideas. The foundational posts will feature thinking that originated at a workshop in December 2015, when the National Cancer Institute (NCI) convened a group of 20 thought leaders in the field of mHealth, smoking cessation, and evaluation. The primary objective of this meeting was to find ways to explore key scientific methods that allow for evaluation of smart design efforts to help people quit smoking, while keeping pace with technology. While the first set of posts will focus on evaluation, our goal is to amplify the conversation within the larger mHealth community, with the aim of improving how mHealth interventions are designed, delivered, and evaluated to effectively carry out health behavior change.

If you are reading this, you are probably interested in these topics and that likely means you have something relevant to share. We invite you to add your comments and consider posting on a topic that is of interest to you. We hope this will be a lively space for people to toss out ideas, share opinions, respectfully debate one another, and collectively move the thinking forward on how to build well designed, effective mHealth interventions.

By: Jessica Havlak

Mother’s Day is about celebrating the (mostly) joys of motherhood, and maybe taking some time to pamper yourself or be pampered by your family. The Smokefree Women Facebook page often receives stories from real women who quit about spending time with their children. We thought that highlighting these stories about the joys and benefits of being a smokefree mom would be an uplifting, heartwarming way to celebrate Mother’s Day with SFGI. 

 

Moms have some of the best reasons to…

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By: Brian Keefe

“Am I reaching the right people?” is a question that anyone who has ever been a part of a public health campaign has asked themselves at one time or another. It is also a question that is extremely hard to answer. 

 

One of the greatest challenges that communicators face is understanding and reaching their intended target audiences. This can be particularly challenging for digitally-delivered programs and interventions available to anyone with an internet connection. Since…

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By: Apule Osika

Most people who do qualitative research, which analyzes non-numerical information, such as interviews, open-ended questionnaires, and observations, know that it includes a lot of coding. Coding is a standardized process of classifying qualitative data (i.e., non-numerical data) by using one unified model, or “coding scheme,” to analyze numerous sets of data. Coding aims to reduce subjective opinion and analysis of qualitative data, and instead ensure a more objective analytical process with…

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By: Ellen Beckjord

Introduction

On December 3, 2015, the National Cancer Institute convened a group of 18 behavioral scientists for a day-long meeting to discuss scientific methods for evaluating technology-mediated behavior change interventions, with an emphasis on mobile smoking cessation interventions. This post contains excerpts from a document provided to participants in advance of the December 3 meeting. The document was used to set context for discussion by providing a high-…

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By: Brian Keefe

“You can’t always get what you want, but if you try sometimes, you just might find, you get what you need…” – Mick Jagger, Rolling Stones

Now, I don’t think Mick was thinking about the evaluation of health interventions when he wrote these lyrics, but they ring true for anyone who has ever tried to measure behavioral outcomes in a real world setting; for example, measuring outcomes associated with using an easily accessible, population-level intervention in which the users are free…

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