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A Comparison of Web and Telephone Responses From a National HIV and AIDS Survey

A Comparison of Web and Telephone Responses From a National HIV and AIDS Survey

IntroductionChoosing a mode of data collection is one of the most important decisions that researchers make when designing a research survey.

Marcella K Jones, Liviana Calzavara, Dan Allman, Catherine A Worthington, Mark Tyndall, James Iveniuk

JMIR Public Health Surveill 2016;2(2):e37


Correction: Using an Electronic App to Promote Home-Based Self-Care in Older Patients With Heart Failure: Qualitative Study on Patient and Informal Caregiver Challenges

Correction: Using an Electronic App to Promote Home-Based Self-Care in Older Patients With Heart Failure: Qualitative Study on Patient and Informal Caregiver Challenges

Health Policy, Management and EvaluationDalla Lana School of Public HealthUniversity of Toronto155 College StToronto, ON, M5T 3M6CanadaPhone: 1 416 978 4326Email: sahr.wali@mail.utoronto.caIn the corrected version, the Corresponding Author has been changed to Catherine

Sahr Wali, Karim Keshavjee, Linda Nguyen, Lawrence Mbuagbaw, Catherine Demers

JMIR Cardio 2020;4(1):e25624


An Interactive Simulation to Change Outcome Expectancies and Intentions in Adults With Type 2 Diabetes: Within-Subjects Experiment

An Interactive Simulation to Change Outcome Expectancies and Intentions in Adults With Type 2 Diabetes: Within-Subjects Experiment

One reason for this may be that most interventions have used only a limited number and palette of behavior change techniques (BCTs) [9] (the smallest observable and replicable active ingredient in a behavioral intervention [10]).

Bryan Gibson, Leah Yingling, Alisa Bednarchuk, Ashwini Janamatti, Ingrid Oakley-Girvan, Nancy Allen

JMIR Diabetes 2018;3(1):e2


CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions

CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions

While JMIR was the journal which had most trials published, the distribution has a very long tail, with relevant articles scattered in a wide range of other journals (see Table 1).

Gunther Eysenbach, CONSORT-EHEALTH Group

J Med Internet Res 2011;13(4):e126


Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Native apps run locally on a smartphone’s operating system in a way that is analogous to programs running on a desktop computer.

Lana Hebden, Amelia Cook, Hidde P. van der Ploeg, Margaret Allman-Farinelli

JMIR Res Protoc 2012;1(2):e9


Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

with the goal of providing a set of stand-alone tools that can be easily combined in a processing pipeline.

João Figueira Silva, João Rafael Almeida, Sérgio Matos

JMIR Med Inform 2020;8(12):e22898


Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

In the paper by David Thompson et al, “Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention” (JMIR Mhealth Uhealth 2017

David Thompson, Teresa Mackay, Maria Matthews, Judith Edwards, Nicholas S Peters, Susan B Connolly

JMIR Mhealth Uhealth 2018;6(4):e13