Stan Kachnowski

A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions.

We reviewed the literature on the use of text messaging for clinical and healthy behaviour interventions. Electronic databases were searched in December 2009 using keywords related to text messaging and health interventions. The final review included 24 articles. Of those, seven covered medication adherence, eight discussed clinical management and nine reported on health-related behaviour modification. Sixteen were randomized controlled trials (RCT), five were non-controlled pre-post comparison studies and three were feasibility pilots not reporting a behavioural outcome. The frequency of messaging ranged from multiple messages daily to one message per month. Among the 16 RCTs, 10 reported significant improvement with interventions and six reported differences suggesting positive trends. Text messaging received good acceptance and showed early efficacy in most studies. However, the evidence base is compromised by methodological limitations and is not yet conclusive.

Special Delivery: An Analysis of mHealth in Maternal and Newborn Health Programs and Their Outcomes Around the World

Mobile health (mHealth) encompasses the use of mobile telecommunication and multimedia into increasingly mobile and wireless health care delivery systems and has the potential to improve tens of thousands of lives each year. The ubiquity and penetration of mobile phones presents the opportunity to leverage mHealth for maternal and newborn care, particularly in under-resourced health ecosystems. Moreover, the slow progress and funding constraints in attaining the Millennium Development Goals for child and maternal health encourage harnessing innovative measures, such as mHealth, to address these public health priorities. This literature review provides a schematic overview of the outcomes, barriers, and strategies of integrating mHealth to improve prenatal and neonatal health outcomes. Six electronic databases were methodically searched using predetermined search terms. Retrieved articles were then categorized according to themes identified in previous studies. A total of 34 articles and reports contributed to the findings with information about the use and limitations of mHealth for prenatal and neonatal healthcare access and delivery. Health systems have implemented mHealth programs to facilitate emergency medical responses, point-of-care support, health promotion and data collection. However, the policy infrastructure for funding, coordinating and guiding the sustainable adoption of prenatal and neonatal mHealth services remains under-developed. The integration of mobile health for prenatal and newborn health services has demonstrated positive outcomes, but the sustainability and scalability of operations requires further feedback from and evaluation of ongoing programs.

Do patients "like" good care? measuring hospital quality via Facebook

With the growth of Facebook, public health researchers are exploring the platform’s uses in health care. However, little research has examined the relationship between Facebook and traditional hospital quality measures. The authors conducted an exploratory quantitative analysis of hospitals’ Facebook pages to assess whether Facebook “Likes” were associated with hospital quality and patient satisfaction. The 30-day mortality rates and patient recommendation rates were used to quantify hospital quality and patient satisfaction; these variables were correlated with Facebook data for 40 hospitals near New York, NY. The results showed that Facebook “Likes” have a strong negative association with 30-day mortality rates and are positively associated with patient recommendation. These exploratory findings suggest that the number of Facebook “Likes” for a hospital may serve as an indicator of hospital quality and patient satisfaction. These findings have implications for researchers and hospitals looking for a quick and widely available measure of these traditional indicators.

How will we know if it's working? A multi-faceted approach to measuring usability of a specialty-specific electronic medical record.

The most effective use of electronic medical records (EMRs) will result from wide-scale adoption and appropriate use of the technology—two factors that rely heavily on a system’s usability. We conducted a qualitative and quantitative usability assessment of an EMR developed specifically for treating the HIV/AIDS patient population. The purpose of this study was to inform developers on how to prioritize resources for their impending software rebuild initiative and to evaluate a dual methodology consisting of both quantitative and qualitative components. The results indicated that the methodology was valid, although there were some variations recommended for future usability assessments of EMRs. The study also underscored the need to assess usability based on user feedback and to employ multiple methods to elicit information; this research revealed many insights into the software that contradicted initial assumptions and also found that asking questions in multiple ways yielded more complete feedback.

Innovation spaces: six strategies to inform health care.

Innovation remains an understudied resource within health care. Furthermore, the goals of US health care reform make innovation vitally important, while the time and resource limitations characteristic of health care make new strategies for innovation both necessary and potentially highly meaningful. The purpose of this study was to examine strategies for innovation in various industries and draw lessons for improving innovation in health care. This qualitative study began with literature research that provided a framework for discussion and identified a recurrent challenge in innovation: balancing the freedom to be creative with the need for structured management of ideas. Researchers then identified leading innovative companies and conducted phone interviews with innovation officers and other experts about their strategies for addressing the major innovation challenge. This article breaks out innovation strategies into 6 categories (dedicated times, formal teams, outside ideas, idea-sharing platforms, company/job goals, and incentives) and evaluates them for levels of control, yield, and pervasiveness. Based on this analysis, recommendations are offered for improving innovation in health care, calling for employee time allocated to innovation, dedicated innovation teams, and the incorporation of outside ideas.

“Think Different”: A Qualitative Assessment of Commercial Innovation for Diabetes Information Technology Programs

BACKGROUND This study reviews the state of diabetes information technology (IT) initiatives and presents a set of recommendations for improvement based on interviews with commercial IT innovators. MATERIALS AND METHODS Semistructured interviews were conducted with 10 technology developers, representing 12 of the most successful IT companies in the world. Average interview time was approximately 45 min. Interviews were audio-recorded, transcribed, and entered into ATLAS.ti for qualitative data analysis. Themes were identified through a process of selective and open coding by three researchers. RESULTS We identified two practices, common among successful IT companies, that have allowed them to avoid or surmount the challenges that confront healthcare professionals involved in diabetes IT development: (1) employing a diverse research team of software developers and engineers, statisticians, consumers, and business people and (2) conducting rigorous research and analytics on technology use and user preferences. CONCLUSIONS Because of the nature of their respective fields, healthcare professionals and commercial innovators face different constraints. With these in mind we present three recommendations, informed by practices shared by successful commercial developers, for those involved in developing diabetes IT programming: (1) include software engineers on the implementation team throughout the intervention, (2) conduct more extensive baseline testing of users and monitor the usage data derived from the technology itself, and (3) pursue Institutional Review Board-exempt research.