Multi-site trial using short mobile messages (SMS) to improve infant weight in low-income minorities: Development, implementation, lessons learned and future applications.
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ABSTRACT:
SUBMITTER: Banna J
PROVIDER: S-EPMC5641256 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
Publications
Multi-site trial using short mobile messages (SMS) to improve infant weight in low-income minorities: Development, implementation, lessons learned and future applications.
Banna Jinan J Campos Maribel M Gibby Cheryl C Graulau Rafael Enrique RE Meléndez Marytere M Reyes Alexandra A Lee Jae Eun JE Palacios Cristina C
Contemporary clinical trials 20170819
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Project description:OBJECTIVE:To test the effects of weekly SMS for improving infant feeding practices and infant weight. METHODS:This was a multi-site randomized clinical trial in a convenience sample of 202 caregivers of healthy term infants 0-2 months participating in the WIC program in Puerto Rico and Hawaii. Participants were randomized to receive SMS about infant's general health issues (control) or SMS for improving feeding practices (intervention) for four months. Weight, length and infant feeding practices were assessed at baseline and four months later. RESULTS:A total of 170 participants completed the study (n = 86 control and n = 84 intervention). Baseline characteristics were similar between groups. At the end, exclusive breastfeeding rates were similar between groups (67.4% control and 59.1% intervention). Introduction of other foods and beverages, addition of foods to the bottle, placing infants to sleep with milk bottles, caregiver's method and response to feeding infants and distractions while feeding infants were similar between groups. Also, weight status or rate of weight gain was similar between groups. CONCLUSION:There were no significant improvements in feeding practices or in weight with the intervention. The timeline of the messages in relation to the targeted behavior may have affected the effectiveness of the intervention. Earlier dissemination of messages, higher level of intensity, longer intervention, additional contacts and inclusion of other caregivers may be needed to achieve the desired effects.
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Project description:In this review, we address selected areas that are central to the state-of-the-art of cancer prevention science. The emphasis on prevention as a viable and critical approach to decreasing cancer mortality has gained traction in recent years, evidenced by its inclusion in the US Vice President's Cancer Initiative (also termed 'Moonshot'). Cancer prevention occurs by arresting, slowing down, or reversing the carcinogenic process before invasion into surrounding tissue or by avoiding or blocking causative exposure. An important challenge is to identify individuals who will benefit most from preventive interventions with the least possible harm. Preventive interventions range from avoiding known carcinogens (e.g., tobacco or asbestos) to intervening with anticarcinogenic strategies (behavioral modifications , such as diet and exercise; medications; nutritional agents; and vaccination against causative agents). Here, we focus on active intervention with measures involving pharmaceutical and immunological agents.
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Project description:ObjectivesTo describe the development, implementation and lessons learned of lifestyle intervention to promote appropriate gestational weight gain among Hispanic pregnant women.DesignThe intervention was informed by an empowerment oriented theoretical framework, and targeted women in the Pregnancy and Early Life Improvement Study.MethodsThe nutrition component consisted of recommendations for total calories, food quantity and improving carbohydrate and fat quality. We provided brown rice, omega-3 rich vegetable oil and spread, and water monthly. The physical activity focused on limiting sedentary behavior and promoting regular movement. The intervention was delivered through individual and group sessions and phone calls. Participants set their own goals, which were closely monitored. The intervention was evaluated extracting data from participant's record (attendance, goals, and challenges) and using a questionnaire.ResultsParticipants were from underserved communities with economic, time, cultural and social barriers for engaging in lifestyle interventions. Modifications were done to facilitate participation, such as coordinating sessions with prenatal appointments and reducing group size and duration of sessions. Weekly text messages were added to reinforce the intervention. The main goal chosen by participants was reduction of sweetened beverages. The greatest challenges were replacing white rice with brown rice and improving physical activity. Participants suggested conducting sessions near their community and using social media as a motivation tool. Main outcomes results will be published elsewhere.ConclusionWe identified barriers to delivering the lifestyle intervention, mainly related to group session's participation. Sessions should be conducted in the community, using text messages and social media as reinforcement.
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Project description:ObjectivesIn 2011, the Veterans Health Administration (VHA) implemented electronic consults (e-consults) as an alternative to in-person specialty visits to improve access and reduce travel for veterans. We conducted an evaluation to understand variation in the use of the new e-consult mechanism and the causes of variable implementation, guided by the Consolidated Framework for Implementation Research (CFIR).Study designQualitative case studies of 3 high- and 5 low-implementation e-consult pilot sites. Participants included e-consult site leaders, primary care providers, specialists, and support staff identified using a modified snowball sample.MethodsWe used a 3-step approach, with a structured survey of e-consult site leaders to identify key constructs, based on the CFIR. We then conducted open-ended interviews, focused on key constructs, with all participants. Finally, we produced structured, site-level ratings of CFIR constructs and compared them between high- and low-implementation sites.ResultsSite leaders identified 14 initial constructs. We conducted 37 interviews, from which 4 CFIR constructs distinguished high implementation e-consult sites: compatibility, networks and communications, training, and access to knowledge and information. For example, illustrating compatibility, a specialist at a high-implementation site reported that the site changed the order of consult options so that all specialties listed e-consults first to maintain consistency. High-implementation sites also exhibited greater agreement on constructs.ConclusionsBy using the CFIR to analyze results, we facilitate future synthesis with other findings, and we better identify common patterns of implementation determinants common across settings.
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Project description:Mobile telephone numbers are increasingly being included in household surveys samples. As approach letters cannot be sent because many do not have address details, alternatives approaches have been considered. This study assesses the effectiveness of sending a short message service (SMS) to a random sample of mobile telephone numbers to increase response rates. A simple random sample of 9000 Australian mobile telephone numbers: 4500 were randomly assigned to be sent a pre-notification SMS, and the remaining 4500 did not have a SMS sent. Adults aged 18 years and over, and currently in paid employment, were eligible to participate. American Association for Public Opinion Research formulas were used to calculated response cooperation and refusal rates. Response and cooperation rate were higher for the SMS groups (12.4% and 28.6% respectively) than the group with no SMS (7.7% and 16.0%). Refusal rates were lower for the SMS group (27.3%) than the group with no SMS (35.9%). When asked, 85.8% of the pre-notification group indicated they remembered receiving a SMS about the study. Sending a pre-notification SMS is effective in improving participation in population-based surveys. Response rates were increased by 60% and cooperation rates by 79%.
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Project description:Our understanding of fragile X syndrome (FXS) pathophysiology continues to improve and numerous potential drug targets have been identified. Yet, current prescribing practices are only symptom-based in order to manage difficult behaviors, as no drug to date is approved for the treatment of FXS. Drugs impacting a diversity of targets in the brain have been studied in recent FXS-specific clinical trials. While many drugs have focused on regulation of enhanced glutamatergic or deficient GABAergic neurotransmission, compounds studied have not been limited to these mechanisms. As a single-gene disorder, it was thought that FXS would have consistent drug targets that could be modulated with pharmacotherapy and lead to significant improvement. Unfortunately, despite promising results in FXS animal models, translational drug treatment development in FXS has largely failed. Future success in this field will depend on learning from past challenges to improve clinical trial design, choose appropriate outcome measures and age range choices, and find readily modulated drug targets. Even with many negative placebo-controlled study results, the field continues to move forward exploring both the new mechanistic drug approaches combined with ways to improve trial execution. This review summarizes the known phenotype and pathophysiology of FXS and past clinical trial rationale and results, and discusses current challenges facing the field and lessons from which to learn for future treatment development efforts.
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Project description:Due to the rapid increase in the availability of patient data, there is significant interest in precision medicine that could facilitate the development of a personalized treatment plan for each patient on an individual basis. Radiation oncology is particularly suited for predictive machine learning (ML) models due to the enormous amount of diagnostic data used as input and therapeutic data generated as output. An emerging field in precision radiation oncology that can take advantage of ML approaches is radiogenomics, which is the study of the impact of genomic variations on the sensitivity of normal and tumor tissue to radiation. Currently, patients undergoing radiotherapy are treated using uniform dose constraints specific to the tumor and surrounding normal tissues. This is suboptimal in many ways. First, the dose that can be delivered to the target volume may be insufficient for control but is constrained by the surrounding normal tissue, as dose escalation can lead to significant morbidity and rare. Second, two patients with nearly identical dose distributions can have substantially different acute and late toxicities, resulting in lengthy treatment breaks and suboptimal control, or chronic morbidities leading to poor quality of life. Despite significant advances in radiogenomics, the magnitude of the genetic contribution to radiation response far exceeds our current understanding of individual risk variants. In the field of genomics, ML methods are being used to extract harder-to-detect knowledge, but these methods have yet to fully penetrate radiogenomics. Hence, the goal of this publication is to provide an overview of ML as it applies to radiogenomics. We begin with a brief history of radiogenomics and its relationship to precision medicine. We then introduce ML and compare it to statistical hypothesis testing to reflect on shared lessons and to avoid common pitfalls. Current ML approaches to genome-wide association studies are examined. The application of ML specifically to radiogenomics is next presented. We end with important lessons for the proper integration of ML into radiogenomics.
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Project description:Introduction The purpose of this article is to present the collective experiences of six federally-funded critical congenital heart disease (CCHD) newborn screening implementation projects to assist federal and state policy makers and public health to implement CCHD screening. Methods A qualitative assessment and summary from six demonstration project grantees and other state representatives involved in the implementation of CCHD screening programs are presented in the following areas: legislation, provider and family education, screening algorithms and interpretation, data collection and quality improvement, telemedicine, home and rural births, and neonatal intensive care unit populations. Results The most common challenges to implementation include: lack of uniform legislative and statutory mandates for screening programs, lack of funding/resources, difficulty in screening algorithm interpretation, limited availability of pediatric echocardiography, and integrating data collection and reporting with existing newborn screening systems. Identified solutions include: programs should consider integrating third party insurers and other partners early in the legislative/statutory process; development of visual tools and language modification to assist in the interpretation of algorithms, training programs for adult sonographers to perform neonatal echocardiography, building upon existing newborn screening systems, and using automated data transfer mechanisms. Discussion Continued and expanded surveillance, research, prevention and education efforts are needed to inform screening programs, with an aim to reduce morbidity, mortality and other adverse consequences for individuals and families affected by CCHD.
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