ArticleJournal of biomedical informatics2010
A technology selection framework for supporting delivery of patient-oriented health interventions in developing countries.
Article in Journal of biomedical informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Mobile phone-based mHealth approaches for public health surveillance in sub-Saharan Africa: a systematic review.International journal of environmental research and public health · 2014Pooled it
- The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014Pooled it
- Health promotion via SMS improves hypertension knowledge for deaf South Africans.BMC public health · 2017Trial
- Improving Knowledge About Pregnancy for Deaf South African Women of Reproductive Age Through a Text Messaging-Based Information Campaign: Mixed Methods Study.JMIR pediatrics and parenting · 2023Article
- Perceptions and Attitudes Toward an Interactive Voice Response Tool (Call for Life Uganda) Providing Adherence Support and Health Information to HIV-Positive Ugandans: Qualitative Study.JMIR formative research · 2022Article
- A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries.NPJ digital medicine · 2022Review
- Ethical Attitudes toward COVID-19 Passports: Evidences from Spain.International journal of environmental research and public health · 2021Article
- The Application of Technological Intervention for Stroke Rehabilitation in Southeast Asia: A Scoping Review With Stakeholders' Consultation.Frontiers in public health · 2021Article
- Acceptability of Mobile Phone-Based Nurse-Delivered Counseling Intervention to Improve HIV Treatment Adherence and Self-Care Behaviors Among HIV-Positive Women in India.AIDS patient care and STDs · 2018Article
- Telemedicine for Developing Countries. A Survey and Some Design Issues.Applied clinical informatics · 2016Review
- Hypertension Health Promotion via Text Messaging at a Community Health Center in South Africa: A Mixed Methods Study.JMIR mHealth and uHealth · 2016Article
- eHealth integration and interoperability issues: towards a solution through enterprise architecture.Health information science and systems · 2015Article
- Special delivery: an analysis of mHealth in maternal and newborn health programs and their outcomes around the world.Maternal and child health journal · 2012Review
- Community based weighing of newborns and use of mobile phones by village elders in rural settings in Kenya: a decentralised approach to health care provision.BMC pregnancy and childbirth · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Health information technologies (HIT) have great potential to advance health care globally. In particular, HIT can provide innovative approaches and methodologies to overcome the range of access and resource barriers specific to developing countries. However, there is a paucity of models and empirical evidence informing the technology selection process in these settings. We propose a framework for selecting patient-oriented technologies in developing countries. The selection guidance process is structured by a set of filters that impose particular constraints and serve to narrow the space of possible decisions. The framework consists of three levels of factors: (1) situational factors, (2) the technology and its relationship with health interventions and with target patients, and (3) empirical evidence. We demonstrate the utility of the framework in the context of mobile phones for behavioral health interventions to reduce risk factors for cardiovascular disease. This framework can be applied to health interventions across health domains to explore how and whether available technologies can support delivery of the associated types of interventions and with the target populations.
Indexed as
Identifiers
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.