2021
DOI: 10.1037/fsh0000592
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Development and feasibility of a Configurable Assessment Messaging Platform for Interventions (CAMPI).

Abstract: Introduction: Short message service (SMS) is a widely accepted telecommunications approach used to support health informatics, including behavioral interventions, data collection, and patient-provider communication. However, SMS delivery platforms are not standardized and platforms are typically commercial "off-the-shelf" or developed "in-house." As a consequence of platform variability, implementing SMS-based interventions may be challenging for both providers and patients. Off-the-shelf SMS delivery platform… Show more

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Cited by 2 publications
(2 citation statements)
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“…The use of health information technologies for integration into the EHR and clinical workflow facilitates sustainment ( 54 , 55 ) ( leveraging contextual resources ). EHR-based algorithms are important for improving equitable implementation ( 27 ) because quantification reduces reliance on social stereotyping ( 56 ).…”
Section: Mental Health Earlier Partnershipmentioning
confidence: 99%
“…The use of health information technologies for integration into the EHR and clinical workflow facilitates sustainment ( 54 , 55 ) ( leveraging contextual resources ). EHR-based algorithms are important for improving equitable implementation ( 27 ) because quantification reduces reliance on social stereotyping ( 56 ).…”
Section: Mental Health Earlier Partnershipmentioning
confidence: 99%
“…Such technologies allow for rapid data collection from patients, delivery of brief intervention content, and other functions, and can be integrated into the electronic health record and patient portals. Bass and colleagues (2021) describe a platform that uses short message service (text messaging) for these purposes. The platform, called Configurable Assessment Messaging Platform for Interventions (CAMPI), was created to address some of the multitude of challenges (e.g., programming, data collection, message delivery) that must be addressed for these promising technologies to be fully realized in health care.…”
Section: Overview Of Articles In the Special Issuementioning
confidence: 99%