Search Articles

View query in Help articles search

Search Results (1 to 10 of 1568 Results)

Download search results: CSV END BibTex RIS

CSV download: Download all 1,568 search results (up to 5,000 articles maximum)

Association Between a Co-Designed Dashboard and Use of Costly Health Services in Patients With Chronic Kidney Disease and Advanced Cancer: Propensity Score–Adjusted Difference-in-Differences Study

Association Between a Co-Designed Dashboard and Use of Costly Health Services in Patients With Chronic Kidney Disease and Advanced Cancer: Propensity Score–Adjusted Difference-in-Differences Study

Cancer: propensity score–weighted difference-in-differences resultsa. a All coefficients are the ATT (b) obtained with inverse propensity-weighted difference-in-differences modes. Linear ATT is the treatment-effect coefficient from the weighted linear probability Di D; logit ATT ROR is the corresponding ratio-in–odds ratios from a weighted logistic regression fit to the identical analytic sample.

Saki Amagai, Alexandra Harris, Nisha Mohindra, Sheetal Kircher, Jeffrey A Linder, Vikram Aggarwal, John D Peipert, Katy Bedjeti, Quan Mai, Cynthia Barnard, Ava Coughlin, Mary O'Connor, Victoria Morken, David Cella, Neil Jordan

J Med Internet Res 2025;27:e70430


Compliance and Satisfaction With a Protocol for Identifying Novel Targets to Support Postpartum Opioid Use Disorder Recovery: Prospective Cohort Study

Compliance and Satisfaction With a Protocol for Identifying Novel Targets to Support Postpartum Opioid Use Disorder Recovery: Prospective Cohort Study

Completion rates by study group, time point, and procedure: (a) visit completion by study group, (b) compliance with in-visit procedure over time by modality and group, and (c) compliance with out-of-visit procedure over time by modality and group. OUD: opioid use disorder. Among the subgroup of participants who completed the study satisfaction surveys, results indicate that the study was well tolerated over time with no significant differences by study groups (Table 2).

Alicia M Allen, Linnea B Linde-Krieger, Jendar Deschenes, Stephanie Mallahan, Alexandra Harris, Mariana Felix, Arushi Chalke, Alma Anderson, Priyanka Sharma, Katherine M King, Maddy T Grant, James Baurley, Lela Rankin, Stacey Tecot

JMIR Form Res 2025;9:e77899


Feasibility and Acceptability of a mHealth Patient Navigation Intervention to Increase Pre-Exposure Prophylaxis Uptake in Racially and Ethnically Diverse Sexual and Gender Minority Youth in Los Angeles (PrEPresent): Pilot Randomized Controlled Trial

Feasibility and Acceptability of a mHealth Patient Navigation Intervention to Increase Pre-Exposure Prophylaxis Uptake in Racially and Ethnically Diverse Sexual and Gender Minority Youth in Los Angeles (PrEPresent): Pilot Randomized Controlled Trial

Baseline demographic characteristics of sexual and gender minority youth in the Pr EPresent studya,b. a2 “Decline to answer” in control. b1 “Don’t know” in intervention. The Patient Activation Measure was used, with a Cronbach α of 0.93, to measure participants’ activation at each survey timepoint [29]. Both study arms scored within the high-level activation category (category 4, defined as 67.1‐100 points) at baseline. Patient activation scores remained stable across both arms over the 3 months (Table 2).

Sam Calvetti, Bryan Lei, Jacob B Stocks, Matthew T Rosso, Manuel Puentes, Ramon Durazo-Arvizu, Lindsay Slay, Michele D Kipke, Lisa B Hightow-Weidman

JMIR Form Res 2025;9:e69255