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Integrating Patient-Generated Digital Data Into Mental Health Therapy: Mixed Methods Analysis of User Experience

Integrating Patient-Generated Digital Data Into Mental Health Therapy: Mixed Methods Analysis of User Experience

A total of 60% (n=26) of therapists noted that they initiated showing or discussing the dashboard in session whereas 32% (n=18) of patients reported “both the patient and therapist” initiated showing or discussing the dashboard (Table 1). The therapists reported a 14 NPS when asked if they would recommend the dashboard to a colleague and 0 to a patient. A pairwise comparison was −38 for therapists. Patients reported a −22 when asked to recommend using a dashboard to a friend in psychotherapy.

Lauren Southwick, Meghana Sharma, Sunny Rai, Rinad S Beidas, David S Mandell, David A Asch, Brenda Curtis, Sharath Chandra Guntuku, Raina M Merchant

JMIR Ment Health 2024;11:e59785

Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study

Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study

Yelp is a website where users share information about their experiences at local businesses by giving a star rating from 1-5 and leaving a narrative review. Yelp is the most used free website in the United States for hospital ratings [6]. In one study, 65% of gynecologists reported being likely to use online ratings to improve patient care, more so than physicians from other specialties [7].

Emily K Seltzer, Sharath Chandra Guntuku, Amy L Lanza, Christopher Tufts, Sindhu K Srinivas, Elissa V Klinger, David A Asch, Nick Fausti, Lyle H Ungar, Raina M Merchant

JMIR Form Res 2022;6(3):e28379

Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study

Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study

The average internet user spends 6 hours and 43 minutes online each day [1], leaving a trail of information about his/her habits and preferences that collectively generates a digital footprint. A consumer’s digital footprint can reveal health-related behaviors, such as diet and physical activity, that can predict health [2].

David Grande, Xochitl Luna Marti, Raina M Merchant, David A Asch, Abby Dolan, Meghana Sharma, Carolyn C Cannuscio

J Med Internet Res 2021;23(6):e29395

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

Yet, posts or images from digital media could better inform a patient-provider discussion about how to change actual dietary choices and consumption. Incorporating data from digital sources has the potential to enhance our approach for characterizing individuals’ risk and tailoring management, as a new type of precision medicine.

Anietie U Andy, Sharath C Guntuku, Srinath Adusumalli, David A Asch, Peter W Groeneveld, Lyle H Ungar, Raina M Merchant

JMIR Cardio 2021;5(1):e24473

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

Thus, a better understanding of how people talk about diabetes via social media could provide insights about how to provide better targeted disease management and treatment. In this study, we sought to characterize language about diabetes on Twitter and examine the correlation between this language and the prevalence of diabetes. This was a retrospective study of data extracted from Twitter about diabetes.

Heather Griffis, David A Asch, H Andrew Schwartz, Lyle Ungar, Alison M Buttenheim, Frances K Barg, Nandita Mitra, Raina M Merchant

JMIR Diabetes 2020;5(1):e14431

Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study

Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study

We limited our analysis to English-language tweets that could be mapped to a US county. Additional details about Twitter processing and data extraction are described elsewhere [10]. Metaphor was defined as a representation of a subject rather than the subject itself, or a non–reality-based statement with an analog in the real world.

Lauren Sinnenberg, Christina Mancheno, Frances K Barg, David A Asch, Christy Lee Rivard, Emma Horst-Martz, Alison Buttenheim, Lyle Ungar, Raina Merchant

JMIR Diabetes 2018;3(4):e11177

Use of Social Media Across US Hospitals: Descriptive Analysis of Adoption and Utilization

Use of Social Media Across US Hospitals: Descriptive Analysis of Adoption and Utilization

For all analyses, a P value Of the total 3371 US hospitals identified, the adoption of social media websites varied across platforms, with 3351 (99.41%) having a Facebook, 1713 (50.82%) having a Twitter, 3351 (99.41%) having a Foursquare, and 3342 (99.14%) having a Yelp account. Overall, 1699 (50.40%) hospitals had accounts on all 4 platforms. Few hospitals (42/3371, 1.25%) used just 1 or 2 types of social media platform.

Heather M Griffis, Austin S Kilaru, Rachel M Werner, David A Asch, John C Hershey, Shawndra Hill, Yoonhee P Ha, Allison Sellers, Kevin Mahoney, Raina M Merchant

J Med Internet Res 2014;16(11):e264