A technology selection framework for supporting delivery of patient-oriented health interventions in developing countries
Open accessAbstract
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.
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Mobile telemedicine terminals feature higher portability; mobile phones mainly help in behavioral health interventions and fail in real clinical situations.
“Mobile terminals, conversely, feature a higher portability: typically, mobile phones mainly help in behavioral health interventions, and fail in real clinical situations [58].”
From Telemedicine for Developing Countries (2016) · cites this paper as [58]
Section 3.1 describes mobile phones as mobile, and section 3.2.2 discusses their use in behavioral health interventions. But section 3.3 gives contrary clinical examples: phone-based reminders improved tuberculosis medication adherence, and mobile technologies supported remote monitoring and treatment. The paper does not say mobile phones fail in clinical situations. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredDesign experts apply filters that consider situational factors, technology, target patients, and empirical evidence, rather than selecting systems or tools according to their main features or project requirements.
“Rather than selecting the system or the tool according to their main features or to the requirements of the project, design experts apply filters which consider situational factors, technology and target patients, and the empirical evidence [58].”
From Telemedicine for Developing Countries (2016) · cites this paper as [58]
Section 2 describes high-level filters for selecting patient-oriented technology, and the paper identifies situational factors, technology and target patients, and empirical evidence as its three levels. The paper does not support the contrast that selection is made instead of considering tool features or project requirements: Section 2.3 says the fit between the task, technology, and population informs selection. Page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredEmpirical evidence is very limited on the criteria according to which the proper technology would be selected.
“The empirical evidence is very limited on the criteria according to which the proper technology would be selected, as Chan et al. write”
From Telemedicine for Developing Countries (2016) · cites this paper as [58]
Section 2.3, “Empirical evidence,” says evidence to inform technology selection in developing countries “may be sparse” or “may be lacking.” That supports the general point, but the citing sentence turns a qualified possibility into the categorical claim that evidence is “very limited.” (LLM, conf=0.86)
Experimental — accuracy not yet measured
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- Authors
- Chan, C. V., & Kaufman, D. R.
- Affiliations
- Columbia University (US)
- Corresponding author
- Chan, Connie V.
- ORCID
- Kaufman, David R.
- Venue
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 43
- Issue
- 2
- Pages
- 300-306
- ISSN
- 1532-0464 (ISSN-L)
- PMC
- PMC2838941
- OpenAlex
- W1992297515
- Cited by
- 56
- References
- 48
- Citations by year
- 2024: 3 · 2023: 1 · 2022: 5 · 2021: 4 · 2020: 5 · 2019: 6 · 2018: 3 · 2017: 5 · 2016: 2 · 2015: 8 · 2014: 3 · 2013: 2 · 2012: 6
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Biomedical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute for Nursing Research (1R21NR010710)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- technology selection framework, health information technology, developing countries, mobile devices, behavioral health interventions, cardiovascular risk factors, evidence-based decision making, situational factors, intervention delivery
- MeSH terms
- Cardiovascular Diseases, Delivery of Health Care, Developing Countries, Humans, Medical Informatics, Software, User-Computer Interface, Cell Phone
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