Observational studyBMC research notes2015
Text message interventions for follow up of infants born to mothers positive for Chagas disease in Tucumán, Argentina: a feasibility study.
Observational study in BMC research notes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Mixed-Methods Approach to Evaluate a mHealth Intervention to Increase Adherence to Triage of HPV+ Women Who Have Performed Self-collection
Women's Access to Mobile Phones and Willingness to Utilize mHealth Interventions for Oral Health Promotion in Egypt: A Cross-Sectional Study
Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Evaluation of Quality of Care in Chagas Disease Cardiomyopathy.Global heart · 2026Article
- Implementation and scaling-up of an effective mHealth intervention to increase adherence to triage of HPV-positive women (ATICA study): perceptions of health decision-makers and health-care providers.BMC health services research · 2023Article
- Communication in Neglected Tropical Diseases' elimination: A scoping review and call for action.PLoS neglected tropical diseases · 2022Article
- Effectiveness of an mHealth intervention to increase adherence to triage of HPV DNA positive women who have performed self-collection (the ATICA study): A hybrid type I cluster randomised effectiveness-implementation trial.Lancet regional health. Americas · 2022Article
- Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review.Heliyon · 2021Review
- Perceptions and Attitudes Toward Mobile Health in Development of an Exclusive Breastfeeding Tool: Focus Group Study With Caregivers and Health Promoters in the Dominican Republic.JMIR pediatrics and parenting · 2020Article
- WHF IASC Roadmap on Chagas Disease.Global heart · 2020Review
- Exploring the Patterns of Use and Acceptability of Mobile Phones Among People Living With HIV to Improve Care and Treatment: Cross-Sectional Study in Three Francophone West African Countries.JMIR mHealth and uHealth · 2019Article
- Clients' perceptions and experiences of targeted digital communication accessible via mobile devices for reproductive, maternal, newborn, child, and adolescent health: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2019Review
- Home improvement and system-based health promotion for sustainable prevention of Chagas disease: A qualitative study.PLoS neglected tropical diseases · 2019Article
- Article
- Factors associated with postpartum depression in women from low socioeconomic level in Argentina: A hierarchical model approach.Journal of affective disorders · 2018Article
- Toward Improving Early Diagnosis of Congenital Chagas Disease in an Endemic Setting.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundDiagnosis of congenital Chagas disease occurs at 9 months of age, making effective treatment challenging due to loss to follow-up. Mobile health (mHealth) has been utilized to improve communication and treatment adherence in many chronic diseases, although no studies of mHealth in Trypanosoma cruzi-infected individuals have been conducted. Text message interventions, a subset of mHealth, has shown to improve appointment attendance and is relatively simple to set up, thus making it an ideal mechanism to facilitate communication with individuals in low-resource settings.
objectiveThe aim of this study is to understand the acceptability, utilization, and barriers of an SMS-based appointment reminder to confirm a post-partum home visit to women in Tucumán, Argentina and whether these factors differ in urban and rural populations.
methodsWomen that tested positive for Chagas disease were invited to receive SMS reminders of their follow-up 4-week postpartum home visit. Demographic information and SMS contact preferences were collected at hospital discharge, and variables on mHealth utilization and barriers were recorded at follow-up.
results77 (70.6%) of women possessed a cell phone for personal use. All eligible women owned phones compatible with SMS messages. The appointment reminder SMS was widely accepted with 64/72 (88.9%) enrolled women receiving the SMS message and 58/64 (90.6%) replying. Ninety-two percent of women stated that the text message was a useful reminder for the follow-up home visit. Women living in rural areas were less likely to own a cell phone for personal use and were significantly less likely to have internet access on their phone than women living in urban areas (RR 0.30, 95% CI 0.10-0.89). Furthermore, women from rural areas faced barriers to mHealth uptake such as change of phone number and response to messages from the hospital team at higher rates than women from urban areas, although these differences were not statistically significant.
conclusionsThere is generally widespread acceptance and utilization of mHealth among this group of women with access to cell phones. However, there are still many barriers to overcome before mHealth interventions attain complete penetration in a population, most notably the issue of cell phone for personal use.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.